Computer Applications and Trends in 2021

D. Angeline Ranjithamani

Computer Applications and Trends in 2021

1st International Conference on Innovative Computational Intelligence (ICICI’21)

May 7th 2021, Tamilnadu, India

Published by

AIRCC Publishing Corporation

Volume Editors
D. Angeline Ranjithamani,
E-mail: angelinmca@francisxavier.ac.in

A. Arul Amalraj,
E-mail: arulamalraj@francisxavier.ac.in

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 Preface
International Conference on Innovative Computational Intelligence (ICICI’21) aims to
bring together leading academicians, researchers and research scholars from India and
abroad to share and exchange their research experiences and contributions on all aspects
of Computational Intelligence incorporating innovation strategies. It also provides a
premier interdisciplinary forum for researchers, practitioners and educators to present and
discuss the most recent innovations, trends, concerns, practical challenges encountered and
the solutions adopted in the eld of Computational Intelligence. This conference aimed to
expand its coverage in the areas of Computational Intelligence with Innovation, where talks
by experts and presentation by researches will be incorporated in every session of this
meeting to keep up the spirit of enthusiasm.
The ICICI Committee rigorously invited submissions for many months from
researchers, scientists, engineers, students and practitioners related to the relevant themes
and tracks of the workshop. This effort guaranteed submissions from an unparalleled
number of internationally recognized top-level researchers. All the submissions underwent
a strenuous peer review process which comprised expert reviewers. These reviewers were
selected from a talented pool of Technical Committee members and external reviewers on
the basis of their expertise. The papers were then reviewed based on their contributions,
technical content, originality and clarity. The entire process, which includes the
submission, review and acceptance processes, was done electronically.
The ICICI Committee brought the research scholars, academicians and PG Students
to share their finding in virtual mode. We would like to thank the Management, GMD,
Principal, organization staff, the members of the Technical Program Committees and
external reviewers for their excellent and tireless work. We sincerely wish that all attendees
benefited scientifically from the conference and wish them every success in their research.

D. Angeline Ranjithamani
General Chair Organization

D. Angeline Ranjithamani Francis Xavier Engineering College, Tirunelveli

Program Committee Members

A. Arul Amalraj Francis Xavier Engineering College, Tirunelveli
D. Stanley Francis Xavier Engineering College, Tirunelveli
J. Abalin Luther Francis Xavier Engineering College, Tirunelveli
N. Arunachalam ACME Infotek, Tirunelveli
Organized By

Department of Computer Applications

Francis Xavier Engineering College
Vannarpettai - 627003

Institution Innovation Council

Proceeding Publications Supported by:

Academy & Industry Research Collaboration Center (AIRCC)

 TABLE OF CONTENTS

1St International Conference on Innovative

Computational Intelligence
(ICICI’21)
Internet of Things (IOT) Based surgery with Innovative Combination of Artificial
Intelligence and Human Intelligence……………………………………..……….01-06
R.Samyuktha and Dr.B.Gayathri
Crop Quality Prediction Using Ml And Neural
Networks………………………………………………………………….……..…..07-12
Kanakaveti Narasimha Dheeraj, Goutham. R. and J Arthi. L
Distracted Driver Behaviour Recognition with Computer Vision using Deep
Convolutional Neural Network in Real World Application……………….…..…13-22
M. Ananthi and Bharathram. P Rahul Narayanan. L
Efficient Detection of phising hyperlinks using Machine Learning………….….23-34
Anshumaan Mishra And Fancy
Feature Extraction and Classification of Segmented ECG Signals Based on Radial
Basis Function and Random Forest Methodology……………………………..…35-45
RexyJ and VelmaniP, Rajakumar T.C
Comparative analysis of trust establishment model to identify malicious nodes in
SIoT……………………………………………………………………..…………...47-55
Anciline JeniferJ and Piramu PreethikaSK
Novel Approach to Optimize Water and Fertilizers in Agriculture using IoT...57-64
D.Louisa Mary ,Dr.M.Ramakrishnan
Segmentation of visceral adipose tissue causing central obesity using deep
learning on abdominal MRI……………………………………………………......65-72
B Sudha Devi and Dr.D.S Misbha
Block Chain In Fake Product Identification System Using Qrcode……………..73-80
Udhaya Nila and J. Abalin Luther Aathi Vignesh
Online Mca (Pok)…………………………………………………………………...81-90
M. Ahamed Fysal and P.Sahaya Jenitha S.Ganapathy Subramanian
Fx Infrastructure Complaint Management System………………………….....91-102
Selvi, Sahaya Jenitha and Sivanesh
Self Attendance Using Otp In Android……………………………….……..….103-111
Lokesh, Sahaya Jenitha and Sivanesh
Fx Calories Calculator & Fitness Advisor………………………...……………113-120
N.Shahul Ashfar and J.Abalin Luther and L.Antro James
Womens Safety Mobile App…………………………………………...………...121-128
N. Ramesh Kannan and S.Sujitha S,Ganapathy Subramanian
Fx Media(Campus Social Media)………………………………………………..129-136
Robin and Sahaya Jenitha and Santhosh
Fx Event Organization…………………………………………………………...137-144
Muthu Krishnan.S and Angeline Ranjithamani,D Deepa.C
Scad Geo Spatial Web Solution………………………………………………….145-155
Roshini and D. Angeline Ranjithamani, Deepa
Online Electrical Goods And Crew……………………………………………..157-168
S.PaulPushpa and D.Angeline Ranjithamani, S.Sowmiya
E-Cards Download ……………………………………………………...…….... 169-180
K Rabiyathu Basaria and S Sujitha K Nambi Natchiar
Personality Prediction Using Through Cv Analysis…………………………...181-192
Muthuselvi M, D. Angeline Ranjithamani and Abinaya V
Vehicle Breakdown Assistance………………………………………………......193-202
NivethaM and Sujtha S, AbinayaV
A Novel Online Approach For Jazzy Jewels…………………………...……….203-209
Subha J and Sujitha S, Subalakshmi K
Data Integrity Protection In Cloud………………………………………...……211-218
Indira G and Sujitha S ,Subalakshmi K
Pulling Data From Multiple Websites To Identify Best Deals On Auction
Websites…………………………………………………………………...………219-224
GuruSharmila S Arul Amalraj A Subalakshmi K
E-Voting With Hybrid Encryption Rsa Algorithm………………………...…..225-231
V.Selva Bhuvaneshwari and D.Angeline Ranjithamani K,Aathi Vignesh
Fx Healthy Physical…………………………………………………………...….233-238
H.Mohamed Masood and J.Abalin Luther, R.Kejapriya
Fx Job Recruitment………………………………………………………...…….239-249
Padmanaban and S. Sujitha,M. Muppidathi@Priya
Online Alma Development……………………………………………………….251-257
K.Venkatesh Prabu and S.Sujitha, M.Muppidathi@Priya
Defending Virtual Gross System From Software Gusty…………………….....259-267
A.Subash and P. Sahaya Jenitha, Allen Steve
Online Campus Selection Process…………………………………………….....269-276
K.Parvathi and S.Sujitha, Allen steve
Dawn Symbo……………………………………………………………...……....277-287
N.Anna lakshmi and P.Sahaya Jenitha, T.Marivjayakumar
Online Auction System………………………………………………………...…289-296
S.Kokila and J.Abalin Luther ,T.Marivijayakumar
Authentication Of Unused Medicine Domination For Ngos………………..…297-307
J.Esther Jenslin and P.Sahaya Jenitha, S.Sri Selva Meenakshi
Automated Access Communication System……………………………….…....309-317
UppliammalS and Stanley D, S.Sowmiya
Brain Tumor Detection Using Image Processing…………………………...….319-325
Nithyasree C and Stanley D, Subalakshmi K
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

INTERNET OF THINGS (IOT) BASED

SURGERY WITH INNOVATIVE
COMBINATION OF ARTIFICIAL
INTELLIGENCE AND HUMAN
INTELLIGENCE
R.Samyuktha1 and B.Gayathri2
1
Bio Medical Department, Dhanalakshmi Srinivasan Institute of
Technology , Tiruchirapalli, India
2
AP Computer Science Department, Bishop Heber college, Tiruchirapalli,
India

ABSTRACT
While examining the historical backdrop of clinical procedure, we can understand that
medical practitioner have/had created and refined instruments for complicated surgeries.
Development in clinical progressions is on a standard with that saw in the sickness
causing specialists and infections. Since ancient time, clinical practices were performed
using obtrusive medical procedures without sedation, which resulted in high mortality
and post-surgery complications. This led to the emergence of effective, safe and user
friendly medical instruments and procedures with little to moderately death rate. At
present obtrusive methodologies are negligibly practiced, but provides less twisted
related complexities, fast organ work return, and more limited hospitalizations. The
success of these methods has prompted for higher acknowledgment of picture guided
surgeries. We present an Internet Of things (IOT) and Artificial Intelligence (AI) based
model that includes a computer generated experience based (VR-based) User interface
and some benefits and limitations. It can be done by Raspberry pi, android application
and also done by Sap cloud system.

KEYWORDS
Picture guided surgeries, Raspberry pi, Sap cloud system, IOT, AI1.

1. INTRODUCTION
IOT is a recent technology where it will go all around the world and for sure will rule the medical
field. It is a smart way communicating the patients in long distance. Still in some rural areas they
don’t have any hospitals and in lack of health care or we can say poor health care systems. In lack
of health care system many children, pregnant women and older people are facing many
problems in day to day life. IOT assumes a part in attaching these issues. If mimicking all
wellbeing crude information under the idea of IOT it brings the idea of DOCTOR which is an
analogue to ATM machine in medical services.

By the continuation of IOT health care system, it is further developed for surgery too. It is done
by the robotic arm controlled by the nurse in place of doctors during surgery to help in picking
and placing tasks.

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 01-05,2021. IJCI – 2021 DOI:10.5121/ijci.2021.100201
2 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure 1: IOT Healthcare

2. IMPLEMENTATION
Method 1: Using Android Application

With the help of Python, the android application controls the the robotic arm.Here accelerometer
and gyroscope are used. In principle, the generated signals of the accelerometer and the whirl gig
will be caught by an android application and shipped off to Raspberry pi to control the automated
arm. For programming the robots for surgery, Raspberry pi is employed to the python script
which receives the command and control the robot from the smart phone.

Figure 2: Remote surgery using mobile phone

 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 3

Method 2: Using Sap cloud system

Computer software supports the artificially created environment.We can also use headsets and
other navigates along with virtual reality set up. Experience gained from the VR is not less than
actual reality. For deep experience oculus VR system is used as part of proposal model. VR is
connected to SAP IOT interface of cloud system .

In our proposed model SAP is more sufficient platform to build a surgical model. It could provide
real time prediction during surgery. AI is computing paradigm. It is used to create automate
intelligent process system.

Figure 3: Surgery based on SAP cloud system

Figure 4: Operation room using SAP cloud system

4 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

3. BENEFITS AND LIMITATION

Benefits

 IOT gives effective and safe surgical practices worldwide.

e.g., from remote corners at instance.
 Reduces the cost of surgery and man power.
 Reduces many medical errors by showing the danger area in red colour and the operating
area in blue colour via 3D dimensional display system.
 In fact it is very useful for the people in battlefields and space crafts.

Limitations

 First, stake holders should develop a global network for remote surgery with AI.
 Secondly, we need a great financial support from government to make this real.
 Patient’s health andprivacy should be keenly addressed to check the patients remotely.
 Though, it reduces “medical error” it is wholly possible by maintaining the systems and
robots regularly without fail.

4. DISCUSSION ON FUTURE WORK

Future work incorporates legitimate and moral issues, which are identified with patient’s well-
being security and their gathered individual delicate information in distant cloud workers and
with many innovative artificial intelligence.

5. CONCLUSION
By use of IOT medical procedure, surgery could be imagined. This will improve the security on
surgery the ideal utilization of careful gadgets legitimate utilization of electro cautery and
normalization of the surgeries.

REFERENCE

[1] https://www.slideshare.net/Venkat
Alagarsamy/iot-in-healthcare
[2]https://pubmed.ncbi.nlm.nih.gov/30671666/
[3]https://ieeexplore.ieee.org/document/8392580
[4]https://www.pantechsolutions.net/iot-connected-healthcare-applications
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 5

AUTHORS

R.Samyuktha, Studying B.E., Bio-Medical Engineering in Dhanalakshmi

Srinivasan Institute of Technology, Tiruchirapalli Tamilnadu,. Her Research
Interest focuses on Bio-Medical Instrumentation and their applications.

Photo
Dr.B.Gayathri, Working as Asst., Professor in Bishop Heber College, Tiruchirapalli, Tamilnadu with
work experience of Twelve years and Research experience of Seven years and With specialisation of
Green Cloud Computing.
6 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

CROP QUALITY PREDICTION USING ML AND

NEURAL NETWORKS
Kanakaveti Narasimha Dheeraj1 and Goutham. R. J 2 Arthi. L 3
1,2,3
Department of Information Technology, Sri Sairam Engineering College

ABSTRACT
Agriculture is said to be the backbone of the economy. Farmers toil hard with different
kinds of crops to make good and healthy food for the country. There are more existing
systems but uses outdated machine-learning techniques based on RNN( Recurrent neural
network) which makes the process slower and more time-consuming. Here We are proposing
a new CNN(Convolutional neural network ) based system which is fast and gives accurate
results within seconds. CNN is power-efficient and is more suitable for real-time
implementation. In this project, we use CNN algorithms which is very much better than the
RNN algorithms used in the existing system.More parameters will be taken for the
consideration of prediction in the proposed system. And we use Random Forest Regression,
Multiple Linear Regression .

KEYWORDS
Convolutional neural network, recurrent neural network, Random Forest Regression,
Multiple Linear Regression .

1. INTRODUCTION
Crops are grown for food and fiber. It is the important aspect of agriculture. Knowing what type
of crop can be grown in a particular place is crucial for the growth of farmers and the economy,
especially in countries like India. Crop production index is a measure of the production rate at a
particular region. Having insights about it, can help in tremendous increase in production.

Machine learning models are implemented for prediction of crop production rate for the
upcoming years. India is growing quick in population. The demand is high and can increase in
coming back future. Hence, to confirm food security vertical development in agriculture is that
they would like of the hour. By space regarding seventy-five-million-hour angle is rainfed and
entirely depends on rains facing the vagaries of monsoon. For this a combined structural and
method approach like selection origination, chemical management, integrated cropping, rain
harvest home, economical irrigation techniques etc. would be needed.

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 07-11, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100202
8 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

.
Figure 1. Chart for net exports and total exports

2. LITERATURE SURVEY
From the research article [3], the researcher express that large amount of data which is collected
and stored for analysis. Making appropriate use of these data often leads to consider- able gains
in efficiency and therefore economic advantages.

There are several applications of Data Mining techniques in the field of agriculture. The
researchers implemented [4] KMeans algorithm to forecast the pollution in the atmosphere, the K
Nearest Neighbour is applied [12] for simulating daily precipitations and other weather variables
and different possi- ble changes of the weather scenarios are analyzed [14] using Support Vector
Machines.

Soil profile descriptions were proposed [15] by the re- searcher for classifying soils in
combination with GPS based technologies. They were applied K-Means approach for the soil
classification. In a similar approach, crop classifications using hyper spectral data was carried out
[1] by adopting one of the data mining approach i.e. Support Vector Machines

In a similar approach, crop classifications using hyper spectral data was carried out [1] by
adopting one of the data mining approach i.e. Support Vector Machines. One of the researchers
used [9] an intensified fuzzy cluster analysis for classifying plants, soil and residue regions of
interest from GPS based colour images

3. PROPOSED SYSTEM
Agriculture using this information, Crop Production Index (CPI) for forthcoming years is
likewise anticipated is the broadest type of human occupation where half of the total populace
acquires its job. Farming Geography, managing the spatial association of yields and their
fixation, gives a fascinating field with regards to which geographers can assume an indispensable
job for the prosperity of the general public.

The procedure of monetary improvement involves exertion to bring efficiency up in the rural
divisions that not just a little working power can deliver enough sustenance for whatever is left of
the general public, yet additionally to discharge a major piece of its working hands to join the
modern area. In this way raising rural profitability shapes a standout amongst the most.

The requirements specification is a technical specification of requirements for the software

products. It is the first step in the requirements analysis process it lists the requirements of a
particular software system including functional, performance, and security requirements. The
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 9

requirements also provide usage scenarios from a user, an operational, and an administrative
perspective.

4. HARDWARE AND SOFTWARE SPECIFICATION

Hardware Requirements

● Hard disk 40GB and above

● Ram 4GB and above
● Processor i3 and above

Software Requirements

● Windows 7 and above

● Anaconda prompt
● Jupyter notebook IDE
● Python3.4

System Architecture

The overall block diagram of the system design. The image pre- processor and the image
segmentation does the same task of segmenting the image to get a vivid soil portion from the
image, as it may contain unwanted portions which may make the system to work with decreased
efficiency

The system eventually aims at predicting the yield of crops based on the set of whether and yield
data including geographical parameters.

Figure 2. . Architecture diagram

10 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

5. SAMPLE CODE
def TopFiveWinners():
current_month = datetime.now().month
current_year = datetime.now().year
current_rainfall = annual_rainfall[current_month - 1]
prev_month = current_month - 1
prev_rainfall = annual_rainfall[prev_month - 1]
current_month_prediction = []
prev_month_prediction = []
change = []

for i in commodity_list:
current_predict = i.getPredictedValue([float(current_month), current_year, current_rainfall])
current_month_prediction.append(current_predict)
prev_predict = i.getPredictedValue([float(prev_month), current_year, prev_rainfall])
prev_month_prediction.append(prev_predict)
change.append((((current_predict - prev_predict) * 100 / prev_predict),
commodity_list.index(i)))
sorted_change = change
sorted_change.sort(reverse=True)
# print(sorted_change)
to_send = []
for j in range(0, 5):
perc, i = sorted_change[j]
name = commodity_list[i].getCropName().split('/')[1]
to_send.append([name, round((current_month_prediction[i] * base[name]) / 100, 2), round(perc,
2)])
print(to_send)
return to_send

Screenshots
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 11

Figure 3. Project images

REFERENCE

[1] Schalkoff R J. Artificial Neural Networks. Vol. 1. New York: McGraw-Hill, 1997.
[2] Schmidhuber J. Deep learning in neural networks: An overview .Neural Networks, 2015; 61: 85–117.
[3] Kamilaris A, Prenafeta-Boldú F X. Deep learning in agriculture: A survey. Computers and Electronics
in Agriculture, 2018; 147: 70–90.
[4] Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition.
Cornell University Library, Available at: https://arxiv.org/abs/1409.1556
[5] Simonyan K, Zisserman A. Two-stream convolutional networks for action recognition in videos.
Advances in Neural Information Processing. Systems, 2014; 1-4: 568–576.
[6] Razavian A S, Azizpour H, Sullivan J, Carlsson S. CNN features off-the-shelf: an astounding baseline
for recognition. IEEE Conference on Computer Vision and Pattern Recognition Workshops
(CVPRW), 2014.
[7] Vincent P, Larochelle H, Bengio Y, Manzagol P A. Extracting andcomposing robust features with
denoising autoencoders. In Proc. 25th Int.Conf. on Machine Learning, 2008; pp.1096–1103.

AUTHORS

Kanakaveti narasimha dheeraj,

IV dept of information technolgy,
Sai ram engineering college,
Chennai-44.
12 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

DISTRACTED DRIVER BEHAVIOUR

RECOGNITION WITH COMPUTER VISION
USING DEEP CONVOLUTIONAL NEURAL
NETWORK IN REAL WORLD APPLICATION
M. Ananthi 1 and Bharathram. P2 Rahul Narayanan. L3
1
AP,Department of Information Technology, Sri Sairam Engineering
College.
2
Department of Information Technology, Sri Sairam Computer
Engineering College.
3
Department of Information Technology, Sri Sairam Engineering
College.

ABSTRACT
Distraction of drivers while driving on roadways results in the death of 1.2 million people,
approximately every year around the globe. Even though there are several improvements
made in road and vehicle design, the total number of accidents is higher. In 2015, 3,477
people were dead and 3,91,000 were injured during motor vehicle crashes associating
distracted drivers. Our paper is aimed to prevent and reduce the rate of motor vehicle
accidents that are caused by human errors and distraction during driving. We study the
different postures of the driver by means of the hand localization, skin segmentation and
facial data. In our paper, we propose a reliable deep-learning CNN model that attains 92%
accuracy.

KEYWORDS
Deep learning, Convolutional Neural Networks, Spatial pooling, Image processing, Transfer
learning.

1. INTRODUCTION
According to the National Highway Traffic Safety Administration (NHTSA) report, 23% to 26%
of road accidents are caused due to distraction of drivers. Driver distraction during driving can
increase the risk of accidents by 4 to 6 times. It is noted that different distraction activities cause
accidents with different rates of risk. Therefore, the study of driver distraction detection is of
great magnitude. Due to the rapid development of deep learning neural networks, driver
distraction detection has been an active research topic in the computer vision field in the recent
years. Drivers do some other activities rather than focusing on driving which causes a lot of
accidents.

The number of car accidents has increased because of distracted driving, since the last few years.
3,477 deaths and 391,000 injuries cases has been confirmed by NHTSA in 2015 due to distracted
driving[9]. Presently, more companies are starting to work with a new system called (ADAS)
Advanced Driver Assistance Systems by creating techniques to alert the driver when distraction
activities occur. From this deep learning takes part of ADAS techniques.

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 13-21, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100203
14 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

In our paper, we explore the possibilities of training a system that can detect different postures of
drivers being distracted. Drinking, texting, talking on phone, operating radio, etc are some of the
common activities that the drivers indulge during driving. It is the prior responsibility of the
automobile manufacturers to provide a system that prevents drivers from being distracted.
Detecting distracted drivers from real time video feed from the dashboard camera itself is one of
the key parts of this paper.

2. LITERATURE REVIEW
In this section the recent trends and the related works related to the problem are reviewed.
[7] An SVM-based model was induced to detect the use of mobile phone while driving
vehicles. The dataset used consists of frontal face images of the driver.[6] Another SVM
based model which used the dataset of driver images taken from highways traffic light
cameras. This model uses facial data only. [3] Osman proposes a bi-level hierarchical
classification methodology using machine learning to identify the different types of
secondary tasks drivers are engaged in using their driving behaviour parameters. This
method uses only three parameters to detect the driver fatigue so the overall accuracy ranges
from 55% to 79% only.

[2]Akshada proposed a system that detects the drowsiness of the driver while driving in the
roadways. This system uses the state of the eye and the facial data which includes Principal
Component Analysis (PCA) and Eigen face approach. [5]Simonyan. K investigates with the
convolutional network depth and the effect on its accuracy with the large-scale image
recognition setting. And evaluation of ConvNets for increasing depth using an architecture
with very small (3 × 3) filters.[10]Kurylyak proposes a cascade of classifiers based on Haar-
features to detect the eyes closure and opening.[12] Jia Deng illustrates the ImageNet by
recognition of objects, classification of images and object clustering for 3.2 million images
in total. [1] Abdul proposed a system with vanilla CNN which locates the facial landmarks
like mouth corners, nose, eyes. The epochs used for this system is set to 5 which is very low
and attains an accuracy of 75% in test run.

[8] Ralph Mbouna analysed the driver alertness by using the state of eye and head position.
The images were taken from the dashboard camera. Eye index, eye pupil, head position was
taken as visual parameters. [11] Murphy-Trivedi model focused on the ability to focus on
fine head pose and coarse head pose that are well suited for unconstrained environments.
[4]Koesdwiady proposed a structure with Convolutional Neural Network system VGG19
which has accomplished a test accuracy of 94%.

3. PROPOSED SYSTEM
Our paper instruments a classifier based on Convolutional Neural Networks to detect driver
distraction and also detect the cause for the distraction. The direct video feed from the
dashboard camera is obtained and the image is being extracted frame by frame. And the
image obtained from the video is feed into the neural network and the corresponding
category is recognized. In this paper, we also make an attempt to reduce the training time of
the Convolutional Neural Networks while making sure that we do not diminish the accuracy
of the classifier. In our attempt to reduce the training time, we experiment with the pre-
trained weights that were obtained by training the Convolutional Neural Networks model on
the ImageNet dataset.Refer figure 1.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 15

Figure.1 – Architecture Flow Diagram

A. Driver Behaviour Classification

In this paper we use the dataset provided by StateFarm [16]. The dataset consists of 22424
images of people classifying either driving safely or indulging in any of the nine below
mentioned behaviours. The images in the dataset are RGB images of 640x480 pixels. The
dataset was separated into 80% and 20% for training and testing respectively. The major
advantage of this dataset is it consists of subjects from different ethnic backgrounds for
example., Asian, Western, African, etc. The dataset consists of 10 classes of behaviours out
of which the first one corresponds to the category of safe driving, while the remaining
classes represents distraction while driving. These classes are some of the most common
distractions while driving and can lead to accidents, loss of property and life.

B. Image Augmentation

The StateFarm image dataset [16] was used for our experiment. In the State Farm distracted
drivers’ dataset each of the image is a RGB coloured image of 640x480 pixels. The input
layer of the model VGG16 takes an input of an image of size 3x224x224.Therefore the first
step was to normalize and resize each image to the size of 224x224 pixels. Convolutional
neural network requires a variety of diversified dataset to train the model effectively and to
produce the results with high accuracy. To combat this challenge, we used the technique of
data augmentation. For each epoch a new set of images were generated by generating
various alterations on each image.
16 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Table 1. Classification of distractions

CLASS DESCRIPTION
Safe Driving Safe driving is defined as the act of driving looking in the front
with hands on the wheel while driving, as shown in Figure 1.
And the driver should not be involved in any of the below
activities.
Texting with Right hand This category defines the usage of mobile phone for texting
when driving using right hand of driver as shown in Figure 2.

Talking with Right hand on This category defines the act of using a mobile phone for
the phone making phone calls as shown in Figure 3.
Texting with Left hand This category defines the usage of mobile phone for texting
when driving using left hand of driver as shown in Figure 4.

Talking with Left hand on This category defines the act of using a mobile phone for
the phone making phone calls as shown in Figure 5.

Operating radio while Operating radio is a category of distraction while driving.

driving Figure 6 shows the mentioned act.

Drinking while driving Drinking is also a category of distraction in which drivers

frequently indulge in, as shown in Figure 7.

Reaching Behind while In this category the driver reaches the back seat of the car by
driving turning his/her back towards the steering wheel as shown in
Figure 8.
Doing Hair or Makeup Correcting hair or doing makeup is another category of
while driving distraction. Figure 9 describes the above act.
Talking to passengers while In this category the driver turns his face towards the passengers
driving to speak with them as shown in Figure 10.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 17

Figure. 2. Classification of Driver postures

C. Convolutional Neural Network

The idea proposed by LeCun of using Convolutional neural network has made a serious impact
on the field of image classification and image detection. The Convolutional neural network
introduces a number of hidden layers added to the model, thereby reducing the dimensions of
the image and enabling the model to extract the image features in reduced dimensional images.
The conventional neural models consist of 2 modules namely feature extraction of images and
classification module based on the classes. Due to the different separate modules of the model
the extractor module is only able to extract a certain significant feature based on the algorithm
and is not efficient to extract the discriminating and trivial features of the image under different
categories. The classification module then uses these features to classify the images.
Convolutional neural network possesses a multistage processing layers which are able to extract
these discriminating and significant features and then these features are transferred to the
classification module to get the category of classification based on the classes. The CNN models
are implemented using Keras API with TensorFlow in the backend.

D. Image Pre-processing

The mean value of the RGB pixels over all pixels were subtracted from each pixel value.
Excluding the mean value of the dataset serves to centre the data. The subtracting of mean is
executed so that the training model is involved in multiple weights and the process of adding
weights to the initial inputs in order to fire activation which then activates the back propagation
with gradients to train the model. Each feature has a similar range that of the feature, to prevent
the gradients from accessing out of range. Convolutional neural networks also involve in
sharing the parameters; hence the input is scaled in similar range, avoiding which the sharing
may not occur. It is due to the fact of each image having a large value of weights focussed and
while the other part is filled with lesser weights.

E. Transfer Learning

VGG16 is a Deep Convolutional Networks for Large-Scale Image Recognition. The architecture
of VGG16 can be seen in Figure 3. The input to the ConvNet is an image of size 224 × 224 and
is a RGB image. The image is then passed through layers of convolutional layers, where filters
18 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

with a very less receptive field of 3 × 3 are used. The convolutional stride is fixed to 1 pixel of
image. The spatial padding of convolution layer input is 1 pixel for 3 × 3 thus preserving the
spatial resolution. Five max-pooling layers carry out the spatial pooling, which then follow
some of the convolutional layers and not passing through all the convolutional layers.

Figure.3. VGG16 Layered Net

4. EXPERIMENT RESULTS
Once the training was completed, the test dataset was run through both the models and
the results obtained were recorded. A detailed analysis of the results obtained is
explained below in Table II.

A window size of 2 x 2 pixels is used for Max-pooling and stride size of 2 is used. The
convolutional layers are fully connected by three layers, the first two layers have 4096
channels and the last layer executes 1000-way classification. All hidden layers are
equipped with the rectification nonlinearity and the final layer is the SoftMax layer. Pre-
trained weights which were obtained by training the VGG16 model on the ImageNet
[10] database is used to initialize the weights in one of the models. Pre-trained weights
that were obtained by training the VGG16 model on the ImageNet were used to
initialize the weights of one of the models, in the other model, random initialization of
weights is used. Hence the final layer was neglected and replaced with a fully connected
SoftMax layer with 10 channels to perform the 10-way classifications. The remaining
model was retained as it is. Although the original model had 1000 channels signifying
the 1000 categories which were aimed to classify. Here only 10 classes are being
targeted.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 19

Table 2. Depicts the accuracy obtained for each class

The model used with pre-trained weights required only very few epochs to converge, despite the
model being a very deep model. ImageNet weights can also be used because of the large size
which nearly contains around 1. 2 million images.

5. CONCLUSION
Deep learning using Convolutional Neural Networks has been extensively used in image
classification, image detection, etc. In this paper, we use VGG16 for detecting distracted drivers
and also identifying the cause of their distraction using Convolutional Neural Networks. Thus,
the results suggests that our system can be used to detect the driver state. The model not only
identifies the basic distraction but also their cause of distraction automatically within the
mentioned 10 classes. The mentioned system was shown to be efficient and workable with an
accuracy of more than 99%. The proposed system can be used to effectively monitor the posture
of the driver while he is driving. These systems when installed are useful in trying to prevent
any accidents due to distraction from the driver by raising warnings whenever the driver gets
distracted. A significant reduction in training time was achieved by diminishing the accuracy of
our classification models. In future work as an extension, more categories of distraction classes
can be brought in to the model. Even considering certain specific scenarios such as detecting
drowsiness among drivers may also provide an opportunity to widen the scale of the work
which were not targeted in the present work.
20 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

REFERENCES

[1] Abdul Jamsheed. V, Janet. B, U. Srinivalsu, “Real Time Detection of driver distraction using CNN”,
Proceedings of the Third International Conference on Smart Systems and Inventive Technology,
(ICSSIT - 2020).
[2] C. Akshada, D. Pramila, D. Ankita, et. al,” Driver Drowsiness Detection and Alarm System”,
International Journal of Research in Electronics and Computer Engineering, IJRECE Vol. 7, Dec
2019.
[3] A. Osman, Mustafa Hajij, Sherif Ishak, SogandKarbalaieali, “A Hierarchical Machine
LearningClassification Approach for Secondary Task Identification from Observed Driving
Behavior Data”, Accident Analysis & Prevention – Elsevier. Vol-123, 2018.
[4] Koesdwiady. A, Bedawi S.M, Karray. F, “End-to-End Deep Learning for Driver Distraction
Recognition”, Publishedat International Conference on Image Analysis and Recognition 2017.
[5] Simonyan. K, and A. Zisserman,” Very deep convolutional networks for large-scale image
recognition”, Published at ICLR 2015.
[6] Y. Artan, R. P. Loce, O. Bulan, and P. Paul, “Driver cell phone usage detection from HOV/HOT NIR
images”, Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition
Workshops - CVPRW, June 2014.
[7] R. A. Berri, A. G. Silva, R. S. Parpinelli, and R. Arthur, “A pattern recognition system for detecting
use of mobile phones while driving”, Proceedings of the 9th International Conference on Computer
Vision Theory and Applications, VISAPP 2014, IEEE.
[8] Ralph Mbouna, Seong G. Kong, "Visual analysis of eye state and head pose for driver alertness
monitoring." IEEE transactions on intelligent transportation systems, 2013.
[9] Hirshkowitz. M, “Fatigue, sleepiness, and safety: Definitions, assessment, methodology”. Sleep
Medicine Clinics, 2013, Vol.8(2):183–189.
[10] Y. Kurylyak, F. Lamonaca, and G. Mirabelli, “Detection of the eye blinks for human’s fatigue
monitoring”, IEEE International Symposium on Medical Measurements and Applications
Proceedings - MeMeA, 2012.
[11] Murphy-Chutorian, E., & Trivedi, M. M, “Head pose estimation in computer vision: A survey”,
IEEE transactions on pattern analysis and machine intelligence, 2009.
[12]Jia Deng, Wei Dong, Richard. S and Li Fei-Fei, “ImageNet: A Large-Scale Hierarchical Image
Database”, IEEE Conference on Computer Vision and Pattern Recognition, 2009.
[13] LeCun, et al. "Gradient-based learning applied to document recognition. " Proceedings of the IEEE
86, Vol no. 11 2278-2324, 1998.
[14] Chollet F, others. Keras [Internet]. GitHub; 2021. Available from: https://github.
com/fchollet/keras
[15] TensorFlow GitHub; 2021. Available from: https://github. com/tensorflow/tensorflow
[16] State Farm Distracted Drivers Dataset, https://www.kaggle.com/c/state-farm-distracteddriver-
detection/data
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 21

AUTHORS

M. Ananthi
AP,Department of Information Technology,
Sri Sairam Engineering College.
ananthi.it@sairam.edu.in

Bharathram. P
Department of Information Technology,
Sri Sairam Computer Engineering College.
bharathpadmanaban2000@gmail.com

Rahul Narayanan. L
Department of Information Technology,
Sri Sairam Engineering College.
rahulatoff@gmail.com
22 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

EFFICIENT DETECTION OF PHISHING

HYPERLINKS USING MACHINE LEARNING
Anshumaan Mishra1 And Fancy2
1
Department of Computer Science Engineering, SRM Institute of Science and
Technology, Kancheepuram,India.
2
Department of Information Technology, SRM Institute of Science and
Technology, Kancheepuram, India.

ABSTRACT
Phishing is a type of Social Engineering cyber-attack, hackers use it to gain access to
confidential credentials like bank account credentials details, details of their personal life
like debit card details, social media credentials, etc. Phishing website links seem to seem just
like the genuine ones and it's a tedious and troublesome task to differentiate among those
websites. In this paper, features are extracted from a separate dataset of phishing and benign
website URLs and then using the Machine Learning method we determine the phishing
websites. We also rank the features based on the contribution of each feature used in
determining the outcome of a URL link using built python libraries. Most of the phishing
URLs use a large URL length when used for an attack. Hence, we proposed three machine
learning models Random Forest, Support Vector Machine (SVM), Decision trees models for
the efficient detection of phishing using fake URLs. The performance of the models is also
compared among themselves using a confusion matrix to determine the highest performance.
The implemented models have shown an accuracy of 84.81 (for Random Forest and
SVM),83.96 (Decision tree)

KEYWORDS
Machine Learning, social engineering, Random Forest, SVM, Decision Trees

1. INTRODUCTION
The second-largest type of cyber-attacks is phishing attacks. They are mostly executed using
Social Engineering. These attacks often lead to deception and manipulation of the victim leading
them to leak their hidden data to the attacker. The usage of websites for tasks like shopping,
banking, emailing is used via confidential credentials for different users. The attacker can clone
these sites to create and create fake URLs that approximately mimic these types of website links.
This link on choosing leads to an attacker-controlled webpage. In most cases these web pages
look like professional and authorized ones, requesting individuals for sensitive data. They have
many discernable differences when compared to a genuine webpage, which might be invisible to
the victim who might not have sufficient technical background. As the second-largest attack in
cyberspace, phishing detection or anti-phishing software have been deployed to counter the
potential damage that can be done to the victims of this type of attack. There have been many
frameworks that have been introduced earlier to combat the problem using machine learning.

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 23-33, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100204
24 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

2. RELATED WORK
This subsection shows previous work related to the topic. To begin with, old techniques like
blacklisting are one of the simple ways to identify phishing websites but can't be used to find new
phishing websites. It also takes a lot of time to use this method.

Current research in the detection of phishing links is classified into four groups which are the
Visual Similarity-based approach, Heuristic Based approach, Fuzzy rule-based approach,
Machine Learning approach.

A. Visual Similarity

In this kind of approach, a phishing website is compared with a legitimate website on the grounds
of visual appearance this includes analyzing the HTML tags, Images present on the suspected
page, javascript version used, etc. Eric et al [1] used a similar approach where they used the
signature of a suspected phishing website is obtained and compared with a legitimate website's
signature. A signature of a web page was used to capture information encompassing the images
and text content present on this web page. To be more specific, It is a set of attributes that
represent different aspects of a website. To detect phishing sites, they use three features: text
fragments, images embedded in the page, and the overall visual appearance of the web page as
made by the browser. Although they receive a negligible false positive rate on the dataset, they
used to consist of only 41 phishing pages which are way too small.

B. Heuristics Based Approach

The heuristic-based approach is the second choice. This method combines different features
extracted from the target pages to determine if it is a phishing or legitimate web page. The
heuristic architecture of suspicious websites fits the feature set that is commonly used in phishing
websites in this approach. CANTINA is a mechanism proposed by Zhang et al [2], which has
proposed a framework called CANTINA which detects phishing pages by analyzing text content
using the TF-IDF algorithm. However, the scheme's limitations are determined by the TF-IDF
algorithm and the website's language.

C. Fuzzy Rule-based Approach

Fuzzy logic techniques take advantage of linguistic variables to represent the main phishing
characteristic indicators. Maher et al [3] used fuzzy logic to detect phishing websites based on six
different criteria. They have made separate layers in their method with each layer containing one
or more criteria, they also calculate the phishing rate using a formula. The disadvantage of this
method is that it is unable to detect zero phishing pages.

D. Machine learning-based approach

Machine learning is one of the latest approaches used by researchers to find out whether a
website is a phishing site. Ankit et al [4] proposed an anti-phishing framework that uses
hyperlink-specific characteristics of various machine learning algorithms. The fact that the
features are built on the source code is a drawback of this strategy as the source code of the
website is subject to change for malicious purposes. This could lead to an increase in false
prediction.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 25

3. PROPOSED ARCHITECTURE

In this section, we describe the proposed architecture of this paper

Fig-a. Showing the proposed architecture

A. Methodology

In this paper, we used two different datasets at the beginning, one dataset is obtained from
Phish Tank [5] and the other is obtained from the Canadian Institute of Cybersecurity [6]
which contains benign URLs. The main objective of our work is to find out malicious URLs
using three different methods and compare their performance in predicting the same. We first
extract eight features from phishing and benign URLs and later create a new dataset with those
features as the column names and a label that shows 0 for genuine and 1 for phishing. We have
used 5500 samples from each dataset to avoid imbalance in the new dataset we created. The
features extracted are address bar-based.

B. Features Selected

● IP Address in URL:

IP Address in the URL Checks for the presence of IP address in the URL. URLs may
have IP addresses instead of the domain name. If an IP address is used as an
alternative to the domain name in the URL, we can be sure that someone is trying to
steal personal information with this URL. If the domain part of the URL has an IP
address, the value assigned to this feature is 1 (phishing) or else 0 (legitimate).

● "@" Symbol in URL:

26 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

"@" Symbol in URL Checks for the presence of the '@' symbol in the URL. Using the
"@" symbol in the URL leads the browser to ignore everything preceding the "@"
symbol and the real address often follows the "@" symbol.
If the URL has the '@' symbol, the value assigned to this feature is 1 (phishing) or else
0 (legitimate).
● Length of URL:

This feature helps in finding the length of a given URL. Phishers can use a long URL
to hide the skeptical part in the address bar. In this project, a URL is labeled as
phishing if it is longer than or equal to 54 characters, which is the threshold length. If
the URL duration is greater than 54, the value assigned to this function is 1 (phishing)
otherwise 0 (legitimate).

● Depth of URL:

Depth of URL Computes the depth of the URL. This feature calculates the number of
sub-pages in the given URL based on the '/'. The value of the feature is numerical
based on the URL. A given URL can have a lot of depth.

● Redirection "//" in URL:

This feature looks for the "//" symbol in a URL. If the URL route contains the character
"//," the user will be redirected to another website. The "//" in the URL's position is
discovered. We discovered that if the URL starts with "HTTP," the "//" should be placed
at the sixth spot. If the URL uses "HTTPS," however, the "//" should be in the seventh
position. If the "//" appears somewhere in the URL other than after the protocol, which
is extremely rare, the value assigned to this attribute is 1 (phishing) or 0 (no phishing)
(legitimate).

● "http/https" in Domain name:

HTTPS is the latest and the most secured version of HTTP. HTTPS is used on many
modern-day websites. However, attackers might try to use this protocol to their
advantage by tricking the user into believing that the attacker-controlled website is
legitimate. If 'http/https' is present at the beginning of a URL then the number assigned
to this feature is 1 as it is considered Phishy else it is assigned 0.

● Using URL Shortening Services “TinyURL”

Some services are present which shorten the length of the URL. These services are
present on the 'World Wide Web. Using URL Shortening Services helps the attacker
craft a URL to make the victim believe that the crafted URL is genuine. This is
accomplished through an "HTTP Redirect" on a brief name, which links to the webpage
that features a long URL. If the URL is using Shortening Services, the worth assigned to
the present feature is 1 (phishing) alternatively 0 (legitimate).

● Prefix or Suffix "-" in Domain:

Prefix or Suffix "-" in Domain Checking the presence of '-' in the domain part of URL.
The dash symbol is rarely used in legitimate URLs. Phishers tend to add prefixes or
suffixes separated by (-) to the domain name so that users feel that they are dealing with
a legitimate website. If the URL has the '-' symbol within the domain as a part of the
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 27

URL, the worth assigned to the present feature is 1 (phishing) alternatively 0

(legitimate).

3. RESULTS AND CONCLUSION

To evaluate our overall performance of our models we have compared them based on confusion
matrix, Feature Ranking, and Accuracy

A. Confusion Matrix

One of the best ways to identify the performance of a classifier is through a confusion
matrix. To compare the performance of the models that were used we have used a
confusion matrix to identify the
True Positive (TP): The number of URLs that have been marked as Phishing URLs.
False Negative (FN): The number of URLs that have been incorrectly determined to be
Legitimate URLs.
True Negative (TN): The number of URLs that have been determined to be Legitimate
URLs.
False Positive (FP): The number of URLs that have been mistakenly marked as Phishing
URLs

Table 1. Confusion matrix

Actual Values

Positive Negative

Predicted Positive True Positive False Positives

Values
Negative False Negative True Negative

Fig. b. Example of a confusion matrix

Precision indicates how many of the cases that were correctly expected turned out to be positive.

It is calculated using this formula

Precision = TP
TP+FP

Recall indicates how many of the real positive cases our model was able to correctly predict.

It is calculated using this formula.

28 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Recall = TP
FN+TP

F1-Measure or F score

F-Measure is a method for combining precision and recall into a single measure that captures
both characteristics. The formula is as follows.

F - Measure = 2 × Precision × Recall

Precision+Recall

Fig-1 Random Forest Confusion Matrix

International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 29

Fig-2 Support Vector Machine Confusion Matrix

Fig-3 Decision Confusion Matrix

30 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Fig – 4. Random Forest Feature ranking Graph

B. Feature Ranking

We have also ranked the eight features that were extracted to see the feature that is
present in every phishing URL. This helps us understand the features that have
contributed the most and the ones that contributed the least when a certain URL was
tested.

Fig – 5. SVM Feature ranking Graph

 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 31

Fig – 6. Decision Trees Feature Ranking Graph

In all the graph figures a score is present for each feature, this score helps in the identification of
contribution provided by a certain feature used in evaluating the outcome, Higher the score larger
the contribution, and a low score means low contribution. In Fig.4 the URL length feature has a
very high score, the HTTP domain feature along with the IP address feature has the least score
which tells us about their importance while determining the outcome of a URL. Fig. 5 and Fig. 6
show that feature 2 (URL length) followed by feature 7(Prefix-suffix) has provided an important
contribution compared to other features. The score of features 1(presence of '@' symbol) is
approximately similar in Fig 5 and 6, other features have not provided any contribution in Fig.5,
however in Fig.6 feature 3 (URL Depth) has shown some contribution. Fig. 4 shows the
importance of many features used in the model Features 5(http_domain) and 0(Have_IP) have
shown the least importance in all three figures.

C. Accuracy

The accuracy score is used to provide the True positive percentage for test data. The
accuracy for the three models was determined using this formula

TP+TN
Accuracy =
TP+FP+TN+FN

Models

Accuracy
Random Forest SVM Decision Trees

0.841 0.839 0.841

Fig – 7. Table for the comparison of model performance

32 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Random forest and Decision trees show similar performance while SVM shows the least
performance.

In this paper, we have prepared a method to evaluate a set of malicious and benign URLs using
feature extraction and three machine learning models. There are only two outcomes of this
approach, phishing and benign. We extracted eight features based on the address bar of a given
URL. These features have helped us in creating a dataset containing both phishing and benign
URLs, we then used machine learning algorithms to determine whether a URL is malicious or
benign. Furthermore, we discovered the most contributing features used in the identification
process. The Random Forest model contributed nearly all the features unlike SVM, Decision
Trees which have shown the contribution of 3 and 4 features. The URL length feature was the
only feature providing the highest contribution in all three models. The accuracy table shows that
SVM has the lowest performance, Random Forest and Decision trees have performed quite
similarly.

REFERENCES

[1] Medvet, Eric, Engin Kirda, and Christopher Kruegel. "Visual-similarity-based

phishing detection." Proceedings of the 4th international conference on Security
and privacy in communication networks. 2008.
[2] Zhang, Yue, Jason I. Hong, and Lorrie F. Cranor. "Cantina: a content-based
approach to detecting phishing web sites." Proceedings of the 16th international
conference on World Wide Web. 2007.
[3] Aburrous, Maher, et al. "Intelligent phishing website detection system using fuzzy
techniques." 2008 3rd International Conference on Information and
Communication Technologies: From Theory to Applications. IEEE, 2008.
[4] Jain, Ankit Kumar, and Brij B. Gupta. "A machine learning-based approach for
phishing detection using hyperlinks information." Journal of Ambient Intelligence
and Humanized Computing 10.5 (2019): 2015-2028.
[5] Phishing URLs Dataset available at https://www.phishtank.com
[6] Dataset available at:https://www.unb.ca/cic/datasets/url-2016.htm
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 33

AUTHORS

Mrs. Fancy is working as Assistant

Professor in the Department of
Computer Science Engineering,
SRM Institute of Science and
Technology

Anshumaan Mishra is doing

CSE in the Department of
Computer Science Engineering,
SRM Institute of Science and
Technology
34 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

FEATURE EXTRACTION AND

CLASSIFICATION OF SEGMENTED ECG
SIGNALS BASED ON RADIAL BASIS FUNCTION
AND RANDOM FOREST METHODOLOGY

RexyJ1 and VelmaniP2 Rajakumar T.C3

1Department of Computer Science, Manonmanium Sundaranar University

2
Department of Computer Science, The M.D.T Hindu College
3
Department of Computer Science, St. Xavier’s College

ABSTRACT
Heart disease is the major cause of death ratio increase in this decade. Nowadays various
people of different age sector undergo the high risk of heart problems and miss their precious
life all of a sudden. Early detection of heart disease will save many people’s life well in
advance. Heart Diseases are predictable and they can be identified in earlier stage. First
basic method to identify heart disease is ElectroCardioGram (ECG) which is the basic
recording method of electrical activities of a functioning heart. ECG is the cheapest and
painless method to detect the basic heart problems. This paper is an attempt to detect and
classify heart beat signals which will serve as the basic step to predict basic and serious
issues which may affect the functioning of the heart. The raw ECG signals are extracted and
preprocessed to remove unwanted noises which will produce effective results. The
preprocessed ECG signals are then are utilized to identify the heart beats which comprise of
signals such as P,Q,R,S,T and U. After detecting the heart beats, they are segmented to
extract the ECG Features. The temporal and spectral features are extracted from the
segmented ECG signals for classification purpose. The extracted feature vectors are utilized
to classify the signals. Radial Basis function and Random Forest method are commonly used
classification methodologies; hence these two methodologies are applied to classify the ECG
Signals into five basic classes. Massachusetts Institute of Technology-Beth Israel Hospital
(MIT-BIH) Arrhythmia database and Noise Stress database are used for this implementation
and the classes are identified based on the given dataset parameters. Performance metrics
such as accuracy, specificity and sensitivity are computed to find out the best classification
methodology among the applied two methodologies. This performance analysis provides a
clear comparative view of both the existing methodologies and specifies that Radial Basis
function well suits for the given segmented ECG signals and the extracted features. Hence
this performance evaluation paves way for best classification algorithm selection or
extension of the best methodology and it can be further optimized for better classification
result. The implementation process has been carried out using Matlab software environment.

KEYWORDS
ECG, ECG Features, radial basis function, random forest method

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 35-45, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100205
36 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

1. INTRODUCTION
The human heart is a core organ that carries oxygen and other nutrients to all the tissues of the
whole body. Electrocardiogram (ECG) analysis is the most common and basic cardiac examination,
which is a useful to detect cardiac abnormalities. An electrocardiogram is a graphical record of
bioelectrical signal generated by the human body during cardiac cycle [1].Early diagnosis leads to
prevention and creates way to save precious life. One complete ECG signal consists of P-QRS-T
waves. The ECG signals may be recorded in different situations; there are possibilities for noisy
signal. The noise in the ECG signals must be filtered prior heat beat detection, segmentation and
classification. To improve the performance for better de-noising of ECG signal, the lower and upper
level boundary values of Butterworth and Chebyshev Type I are concatenated [2].The retrieved raw
ECG signals are preprocessed using a novel hybrid methodology called ButterChev which is a
combination of Butterworth and Chebyshev Type II filters. The heart beats must be detected and
segmented before extracting the features from the filtered signals. The ECG signal must be
segmented in terms of beats and its different waveforms (P wave, QRS complex and T wave) prior to
the feature extraction stage [3].The extracted features will serve as the basic source for classification.
Hybrid methodology of Pan-Tompkins and Hamilton-Tompkins algorithm is used to identify the
heart beats and segment the signals.[4] . Features are important properties and structural components
of input patterns that adds more value to the given input pattern..Feature Extraction. Feature
extraction is the method of gathering discriminative information from a set of samples [5]. Temporal,
spectral and fiducial features are the main features to be extracted from the segmented ECG signals.
This feature extraction process leads to better interpretation and classification process. The extracted
features vector serves as the primary input for the signal classification process. In classification
process the signals are classified according to the classes determined by the selected datasets.
Classification is a supervised pattern of dividing the signals and variety of algorithms play a vital role
in classifying the ECG signals based on the extracted features. As RDF and RF are commonly used
classification methodologies both the algorithms are applied .The scope of this paper is to identify
the best classifier methodology among RBF and RF. Performance metrics such as accuracy,
sensitivity and specificity are calculated to evaluate the performance of both the methodologies. Fig.1
depicts the architectural diagram of the complete implementation.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 37

Fig. 1 Architectural Diagram

2. RELATED WORK
ECG feature extraction and classification methodologies have been reviewed and analyzed. This
section enlightens about various techniques proposed earlier and implemented for extracting ECG
features and to classify the signals.

Prachi Lamba et al [6] reviewed various feature extraction and feature classification methods. Feature
extraction methods such as DWT, PCA and LDA were reviewed. Classification methods such as
SVM, RBF and KNN were reviewed and stated that DWT with combination of SM is best compared
to other combinations.

Fatemeh Molaei Vaneghi at al [7] used Autoregressive (AR), Wavelet Transform (WT), Eigenvector,
Fast Fourier Transform (FFT), Linear Prediction (LP), and Independent Component Analysis (ICA)
methodologies and concluded that Eigenvector method gives better performance in frequency
domain for the ECG feature extraction.

Wenliang Zhu et al [8] proposed to apply the SVM classification, after performing the combination
of ECG morphology and segment feature extraction on the ECG signals. Morphological features and
ECG segment features are extracted by using principal component analysis (PCA) and dynamic time
warping (DTW). Support vector machine (SVM) is applied to the features and automatic diagnosis
results are produced

Afseen Naaz et al [9] elucidated various techniques of extracting and selecting the vital features
from the ECG signal in order to analyze the ECG signal automatically. It was found that the wavelet
transform is one of the important tools for extracting out QRS complex and other features from the
ECG signal.

Can Ye et al [10] proposed a new approach for heart-beat classification by combining

morphological and dynamic features. Wavelet transform and independent component analysis (ICA)
38 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

are applied separately to each heartbeat to extract morphological features. After extracting the
features, support vector machine classifier is utilized for the classification

K. Akilandeswari et al [11] used Walsh-Hadamard transformation (WHT) and Fast Fourier

Transformation (FFT) to extract the required features from ECG signal.The extracted features are
proposed for further classification.

Anoop Vylala et al [12] extracted spectral and statistical features from the wave components that
yield the texture and the geometric nature of ECG. The classification is carried out using the Actor-
Critic (AC) Neural Network that is trained using the Proposed Taylor-Sine Cosine Algorithm
(Taylor-SCA).

Mohammed Belkheiri et al [13] implemented Radial Basis Function (RBF) artificial neural network
to classify the preprocessed and ECG signals. ECG feature vectors composed of average amplitude
values, DCT coefficients, DFT coefficients, and wavelet coefficients were used as input and it was
found that an RBF which has one layer and the feature vector with 61 inputs, and 20 neurons
produced the best performance

V.Mahesh et al [14] presents Random Forest for detecting cardiac arrhythmias. Heart Rate
Variability (HRV) analysis and Discrete Wavelet Transform (DWT) are used to extract features from
the ECG signals. The Random Forests classifier was provided with the combination of linear and
nonlinear parameters derived as input. The proposed classifier showed satisfactory performances in
discriminating the types of arrhythmia.

Emina Alickovic et al [15] proposed Random Forests (RF) classifier for ECG heartbeat signal
classification. It is found that RF classifier achieves superior performances compared to other
decision tree methods. It is elaborated that hybrid model with multi scale principal component
analysis (MSPCA) de-noising, discrete wavelet transform(DWT) and RF classifier produces better
performance with the area under the receiver operating characteristic(ROC) curve (AUC) and F-
measure.

3. ECG SIGNAL PREPROCESSING

ECG Signals are the primary input for detecting the heart beats and the extract the features for
classification purpose. A noisy ECG signal may not result in effective performance metrics; hence
the noises are filtered from the given raw ECG signals. Several IIR filters such as Butterworth,
Chebyshev Type I, Chebyshev Type II and Elliptic are commonly used for de-noising ECG signals to
retrieve sharp ECG signal waves. To improve the performance for better de-noising and peak
detection of ECG signal , the lower and upper level boundary values of Butterworth and Chebyshev
Type I are concatenated.[2]. A hybrid method called ButterChev which is a combination version of
Butterworth and Chebyshev Type I is used for effective filtering process. Fig.2 depicts the given raw
ECG signal and filtered and peak identified signal.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 39

Fig.2 Raw ECG Signal & Filtered Signal with Peak detection

4. HEARTBEAT DETECTION AND ECG SIGNAL SEGMENTATION

The preprocessed ECG signal must be segmented and the heart beat must be identified before the
feature extraction process. To fully automate the heartbeat classification method, an automatic
heartbeat detection module is required [16]. ECG Signal Segmentation is the basic step to be
followed before extracting useful features from the ECG Signal. The ECG signal must be segmented
in terms of beats and its different waveforms (P wave, QRS complex and T wave) prior to the feature
extraction stage. The high level signals P,R,T,U and low level signal Q and S are segmented and the
segmented signals makes way for efficient feature extraction and classification process. Fig. 3
presents the segmented ECG Signals view.

Fig. 3 Segmented ECG Signals View

40 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

5. ECG FEATURE EXTRACTION AND CLASSIFICATION

A. ECG Signal Features

Features of an ECG Signal are segments and intervals between fiducial points such as RR interval,
amplitude of P,R and T waves [17].The signal analysis provides adequate information about cardiac
diseases and hence it serves as efficient input for extracting features from the ECG signals. ECG
Feature Extraction

Feature Extraction is the process of retrieving the main properties of the given ECG signal which
plays a vital role for classification. The main purpose of the feature extraction process is to select and
retain relevant information from original signal.Cardiac diagnostic related attributes are extracted
using Feature Extraction Methodologies. There are several Feature Extraction methodologies such as
Independent Component Analysis (ICA), Eigen Vector, Principal Component Analysis, Wavelet
Transform, Linear Prediction and Auto regression [18].Principal Component Analysis methodology is
used to extract ECG features. Temporal, spectral and fiducial features are extracted which will be used
for classification purpose. There are several Feature Extracting methodologies. Extracted features are
divided into two subsets based on gender.

B. ECG Signal Classification

Classification is the supervised learning which helps to analyze the extracted features. MIT-BIH
Arrhythmia Database and subset MIT-BIT Noise Stress Database from physionet are used which
includes 48 ECG recordings [19].
The extracted features are classified into five standard ANSI/AAMI classes such as (a) normal (N), (b)
supraventricular ectopic (S), (c) fusion (F), (d) ventricular ectopic (V), and (e) unknown (Q) [20].As
the database contains both male and female ECG records ,the classification process is analyzed based
on Gender category as a parameter. Neural network, machine learning and decision tree based
classification algorithms are available. Machine Learning and decision tree based classification
algorithms exists, among them Radial Basis Function and Random Forest Classifier Algorithm are
used for classification.

1) Radial Basis Function Classifier: Radial Basis Function classifier is used in many
applications such as classification,regression and signal processing. TheRBF classifier is composed
of three layers called input layer, hidden layer, and output layer. The RBF networks are different
from other types of neuralnetworks mainly in the hidden neurons . Each hiddenneuron has a radial
basis function which is a center symmet-ric nonlinear function with local distribution. The radial
basisfunction consists of a center position and a width parameter[21]

2) Random Forest Classifier: The RF algorithms form a family of classification methods that
rely on the combination of several decision trees[22].Random forest classifier rely on ensemble
method. Each tree in the RF splits into as class prediction and the class with more similarity will serve
as the model for prediction and classification. The main idea of RF is to build many classification
trees based on some randomly selected features from randomly selected samples with bagging
strategy and then to use the trees to vote for a given input vector to get a class label. RF is
constructed by many base learners and each base learner is an independent binary tree adopting
recursive partitioning[23].Random Forest Classifier well suits for muiti-class classification.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 41

6. EXPERIMENTS AND RESULTS

Filtered ECG signals are received by applying ButerChev Filtering Method. Temporal, spectral and
fiducial feature vector is generated with the help of PCA extracting methodology. Segmented signals
are retrieved by applying hybrid version of Pan-Tompkins and Hamilton Tompkins algorithm.
Having the retrieved feature vector as primary input the signals are classified using Radial basis
function and Random Forest methodology. Performance metrics such as Accuracy, Specificity, and
Sensitivity are calculated for measuring the performance of Radial Basis function and Random Forest
methodology.

Accuracy = (TP+TN)/(TP+FP+FN+TN)----- (1)

Sensitivity = TP/(TP+FN) ---------------------- (2)
Specificity = TN/(TN+FP) ----------------- ----- (3)
Where TP represents True Positive, TN represents True Negative, FP represents False
Negative and FN represents False Negative,

TABLE I depicts the performance evaluation based on gender and overall dataset. The accuracy of
the female ECG records based on RBF is 87.88 % and male ECG records is 86.04%.The overall
accuracy rate of Radial Basis Function is 86.96%. The accuracy of the female ECG records based on
Random Forest is 83.71 % and male ECG records is 81.52%.The overall accuracy rate of Random
Forest methodology and Random Forest are 86.96% and 82.62% which reflects that RBF gives better
accuracy than RF. The specificity of the female ECG records based on RBF is 94.49 % and male
ECG records is 93.70%.The overall specificity rate of Radial Basis Function is 94.10%. The
specificity of the female ECG records based on Random Forest is 94.42 % and male ECG records is
94.31%.The overall specificity of Random Forest methodology and Random Forest are 94.10% and
94.36%.The overall specificity of RBF and RF differs slightly with .05% variation only. The
sensitivity of the female ECG records based on RBF is 93.50 % and male ECG records are 94.49%.
The sensitivity of the male ECG records based on Random Forest is 85.29 % and female records are
80.99%. The overall sensitivity of Random Forest methodology and Random Forest are 94.36% and
83.14%. Here the Radial Basis Function Performs well than Random Forest. So it clearly depicts that
Radial Basis function well performs than Random Forest methodology.

Table i: gender wise performance

Accuracy Specificity% Sensitivity%

Gender %
RBF RF RBF RF RBF RF
Male 87.88 83.71 94.49 94.42 93.50 85.29
Female 86.04 81.52 93.70 94.31 94.49 80.99
Overall 86.96 82.62 94.10 94.36 94.00 83.14

Fig.4 represents the Accuracy performance metrics and clearly depicts that RBF performs more
accurately than RF methodology.Fig.5 represents Specificity metrics and here RF methodology
slightly out performs than RBF. Both of the methodologies reflect more or less same level of
specificity.Fig.6 represents Sensitivity metrics and specifies that RBF well performs than RF.Fig.7
represents the overall performance metrics which clearly depicts that RBF well performs than RF.
42 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Fig.4 Performance Metrics:Accuracy

Fig.5 Performance Metrics: Specificity

Fig.6 Performance Metrics: Sensitivity

 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 43

Fig.7 Overall Performance

7. CONCLUSION AND FUTURE WORK

This paper presents the ECG signal feature extraction and classification stage. This paper focuses on
filtering the retrieved ECG signal using ButterChev Algorithm. After filtering the ECG signal heart
beat is detected and the signals are segmented using hybrid approach of Pan& Tompkins and
Hamilton & Tompkins methodology In this stage the high level signals P,R,T,U and low level signal
Q and S are segmented. The segmented ECG signals are given as input for PCA Feature extraction
methodology which extracts temporal, spectral and fiducial ECG features. This feature vector is
applied to Radial Basis Function and Random Forest Methodology. The dataset is divided into two
subsets for training and testing purpose. The signals are classified into five AAMI based classes. The
accuracy, specificity and sensitivity of RBF and RF are 86.96%,94.1%,94%,82.62%,94.36% and
83.14%.This reveals that Radial Basis Function is more efficient that Random forest methodology.
Further this signal classification can be extended by optimizing the classification process with the
support of deep learning algorithms.

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[4] J.Rexy, P.Velmani and T.C.Rajakumar.”A Novel Approach to Perform ECG Signal Identification and
Segmentation Based On Pan- Tompkins And Hamilton-Tompkins Algorithm”. International Journal of
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[5] P. Lamba and K. Rawal, ‘‘A survey of algorithms for feature extraction and feature classification
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Comparative Approach to ECG Feature Extraction Methods”, 2 IEEE Computer Society,2012.
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Arrhythmia”, International Journal of Advanced Research in Computer and Communication Engineering
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[12] Anoop Vylala ,Bipin Plakkottu Radhakrishnan,” Spectral feature and optimization- based actor-critic
neural network for arrhythmia classification using ECG signal” Journal Of Experimental & Theoretical
Artificial Intelligence,2019.
[13] Mohammed Belkheiri, Zineb Douidi and Ahmed Belkheiri,” ECG Beats Extraction and Classification
Using Radial Basis Function Neural Networks”, Proceedings of the Fourth International Conference on
Signal and Image Processing 2012, Springer,2013.
[14] V.Mahesh, A.Kandaswamy, C.Vimal, B.Sathish,” Random Forest Classifier Based ECG Arrhythmia
Classification” International Journal of Healthcare Information Systems and Informatics, 5(2), 1-10,
April-June 2010.
[15] Emina Alickovic1 & Abdulhamit Subasi,” Medical Decision Support System For Diagnosis Of
Heartarrhythmia Using DWT And Random Forests Classifier” J Med System (2016),Springer.
[16] Philip de Chazal, Richard B. Reilly,” Automatic Classification of Heartbeats Using ECGMorphology and
Heartbeat Interval Features”. Ieee Transactions On Biomedical Engineering, Vol. 51, No. 7, July 2004.
[17] Juie D. Peshave, Rajveer Shastr,” Feature Extraction of ECG Signal”,IEEE Advancing Technology for
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[18] Sreelakshmi T G and Seethal Paul,” An Accurate ECG Feature Extraction Method For Detecting Multiple
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[19] Moody GB, Mark RG. “The impact of the MIT-BIH Arrhythmia Database”. IEEE Eng in Med and Biol
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[20] N P. Joshi, Shweta A.Tambe1, P.S. Topannavar1,”Morphological & Dynamic Feature Based Heartbeat
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[21] Jinna Lu,Hongping Hu,and Yanping Bai ,” Radial Basis Function Neural Network Based on an Improved
Exponential Decreasing Inertia Weight-Particle Swarm Optimization Algorithm for AQI Prediction”
Hindawi Publishing Corporation Abstract and Applied Analysis Volume 2014, Article ID 178313
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 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 45

AUTHORS

RexyJ
Department of Computer Science,
Manonmanium Sundaranar University

VelmaniP
Department of Computer Science,
The M.D.T Hindu College

Rajakumar T.C
Department of Computer Science, St. Xavier’s College
46 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

COMPARATIVE ANALYSIS OF TRUST

ESTABLISHMENT MODEL TO IDENTIFY
MALICIOUS NODES IN SIOT

Anciline JeniferJ1 and Piramu PreethikaSK2

1
Department of Computer Science, Vels Institute of Science, Technology &
Advanced Studies ( VISTAS )
2
Department of Computer Science, Vels Institute of Science, Technology &
Advanced Studies ( VISTAS )

ABSTRACT
Internet of Things enables the user to interact with devices which merges with Social Internet of
Things (SIoT). SIoT is a new model that allows various attractive application and promote
sharing of information. This can establish objects in an independent way based on the social
relationship. The major issue is how to construct the trusted model and to understand how the
objects interact with SIoT. In order to overcome these challenges, trust establishment model
among these devices has been required before originating communication. This paper describes
collaborative methods for calculating trust based on the trust evaluation system. The
collaboration among the nodes can be established using encoded and decoded packets whereas
the encoded packet transmission illustrates the collaboration. The each node of reliability based
on the transaction factors can be assigned and their trust values can be calculated. This paper
described comparison between proposed Cooperative Trust (CT) models which can be observed
initially it achieves 79% trust value than the existing trust model. This framework provides more
security and reliability for SIoT in order to identify the malicious nodes.

KEYWORDS
IoT devices, SIoT, security, malicious nodes, trust value, cooperation

1. INTRODUCTION
In today’s digital era of Information Communication Technology (ICT), computers, mobile and other
connecting devices are becoming ubiquitous in nature. According to a study, total number of
connecting devices present in the globe exceeds multiple times the total population of humans making
it more than 4 devices per person on the globe. By 2021, more than 20 billion devices will be
connected to internet and communicate each other when required making it pervasive in nature [1].
This pervasive nature of the devices makes communication very obvious and hence these devices are
known as Internet of Things (IoT) devices. The primitive nature of IoT devices is that they are
anywhere, everywhere making communication and computation ubiquitous in the ICT domain. IoT
network is the inter-networking of physical devices, smart devices, electronic appliances, automobile
vehicles and other electronic devices having software, sensors, actuators, and network connectivity

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 47-55, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100206
48 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

which enable these components to collect and exchange data over a network. IoT devices are
transforming our ICT spectrum completely. In communication over IoT, there is vulnerability in the
messages being communicated among the devices because of the higher heterogeneity level. The
vulnerability over IoT contains lack of integrity, reliability and trustworthiness of heterogeneous
devices. IoT network uses diversified devices, multiple communication channels and lack of standards
and enabling protocols result in multiple security threats. In a diversified distributed environment such
as IoT network verification, approval, non-repudiation and access control are the significant to
establish protective communication. These devices establish secure channel before beginning of the
communication. Among the communication devices, these secure channels can be entrenched after
establishing trust. Trust establishment is necessary to ensure that the vulnerabilities present in these
devices should be resolved and ongoing communication is secure. These vulnerabilities are resolved
by fulfilling security requirements by employing designated security mechanisms. Among these
security concerns, privacy remains a challenge in IoT network as it solely depends on nature and
characteristics of the devices. Once the communication can be started in the device due to
heterogeneity has not controlled by security and privacy concerns among the communicating devices
to establish the trust is one of the main reasons before starting of the communication. This method of
establishing trust among the communicating devices is an aspect of Trust Management in IoT devices.
Trust can also be established among the communicating devices by negotiating on certain aspects
which is called Trust Negotiation. Trust Negotiation and Trust Establishment together comes under
Trust Management. One of the approaches towards establishing trust among IoT devices is by treating
these IoT devices as SIoT devices [2]. In SIoT, it is possible to distinguish people and objects from
each other. It allows objects to protect their privacy from humans with their own social networks.
There is billions of traffic in the IoT system as objects communicate in the network with other objects
in an independent way and in this environment, it can lead to malicious behavior [3]. Management of
trustworthiness plays an important role. Without this administration, the trusted network will not be
available. There are many advantages that SIoT offers which are navigability, trustworthiness and
scalability. The aim of this paper is to construct a comparison between trust evaluation models for
SIoT based on the behavior of objects to develop security using trustworthiness management.

The organization of the paper is as follows: Section 2 describes the trust in SIoT, Section 3 describes
survey based on trust based SIoT framework, Section 4 describes proposed CT model evaluation,
Section 5 discusses the performance evaluation for calculating trust values with the comparison of
proposed CT model and existing model, Section 6 ends with conclusion.

2. ROLE OF TRUST SOCIAL INTERNET OF THINGS

Trust in IoT communication plays an important role as the communication take place among multiple
devices. Trust in human sociology refers to a degree of extent at which information can be shared
explicitly without any constraint of privacy preservation. When initiating the communication, the
degree of trust is much needed and the fulfillment of trust requirements is strictly associated among
IoT devices of access control and identity management issues. In networking systems like SIoT, trust
establishment model is an important characteristic. A human social relation is the general fundamental
feature of trust which needs to be reviewed from trustor who gets correlated with the society while
extending trust. There should be no neglect of social experiences, the subjective point of view of
particular individuals, and society. This system also found out that in addition to the trustworthiness of
a trustee, the tendency of the trustor and environmental factors like faults, threats and risks also
contribute to the trust valuation as illustrated in Figure 1. This is evident due to trust only exists in
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 49

dangerous situations based on the trust which is vulnerable. In unique contexts, there are many
meanings for trust that makes it difficult to construct a common notation of trust in computer science.

The trust model to adopt a generally accepted social science approach in order to define trust in the
SIoT context, which considers trust as a belief that appears in various trust-related works [4].

Fig. 1. SIoT Environment based on trust

In computer science, a general concept of trust has been accepted as follows: In a trustee, the belief
of trustor will achieve or provide trustor’s expectation as trust goal for a certain period of time within
a particular context is defined as trust. Trustors and trustees may be individuals, computers, systems,
applications and services in the SIoT framework. The trust value may be absolute for instance
‘probability’ which measure as conviction for instance ‘trust level’. The wide knowledge of trust goal
to perform the action of trustee provides the trust for information. The objectives of the Trustor are
intentionally considered for the trust target to contain specific criteria to perform well.

3. LITERATURE REVIEW
This focus on to build a reliable system based on the nature of devices provided by the SIoT users.
They define their model into two type’s namely subjective model and objective model [5]. The model
is based on different type of relationship named as co-work object, parental object, co-location object,
social object and ownership object relationship [6]. Proposed trust model uses recommendation,
reputation and knowledge to calculate trust metric of every device. Their model measures both
credibility namely, the trust value metrics of reputation and recommendation and
knowledge properties based on trust value metrics of knowledge [7]. This paper proposes trust
capabilities based on the trust management model that involve reference model of generic IoT for
accomplishing trustworthiness management target. Moreover, the proposed Trust Information
Management (TIM) platform is considered to involve trust information brokers, TIM system and trust
agents aimed at providing stable interactions and trustworthy between individuals, physical things and
virtual objects [8]. The middleware solution is providing an environment for enabling service
composition and general set of services based on communication capabilities and abstraction of device
functional designs are the major goals which may be identified [9]. The advantages of the proposed
IoT framework are incorporating both smart object-based infrastructure and RFID which includes the
implementation of an additional generic IoT architecture. The disadvantages are which does not have
a solution based on flexibility, scalability and lower performance. SIoT network to manage in IoT
50 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

architecture for the way of communication between several things in which the way of people handle
social relationships as reference architecture. This paper addresses certain existing problems of IoT
design and proposes SIoT-couched solutions which can be used to minimize architectural variability
as requirements for potential IoT designs [10]. Gamini Joshi et al. has proposed the framework of
cooperative trust management in accordance with data of encoding and decoding which assist in
assessing IoT network trust using data normalization and evaluation. However, this proposed
framework is highly cognizant and delivers quick decision making in nodes trustworthiness. Hence,
the overhead has reduced by 61% in node 60 and the Packet Delivery Ratio (PDR) of non-malicious
node gets increased with 40% in the node 30. Thus, the model is scalable with more node which is
prompt to be realistic and reliable [11]. Chen et al. proposed trust evaluation which act as a major
feature in network securing from annoying nodes [12]. Similarly, Atzori et al. has proposed various
trust model related to fuzzy, game theory, neural network and Bayesian statistics whereas the limited
work is done through trust [13]. Mart et al. has introduced direct observation using watchdog
method for detecting the self-nodes. The trust correctness has been affected through direct observation
and the watchdog method is utilizing the essential memory buffer which accumulates for additional
storage in memory limited IoT devices [14]. Oliviero et al. has proposed a free routing path from
malicious node but it is not secure while focusing only at trust dissemination [15]. Ren et al. has
suggested trust evaluation with neighbor’s advice but which influence the complexness [16]. Namal et
al. has utilized the cloud in trust evalution for reducing the difficulties and advance the security. This
proposed model is considered with Trust as a Service (TaaS) for providing availability and reliability
over network [17]. The disadvantage faced in this method if any service gets interrupted. Hammi et
al. has proposed a blockchain approach for designing the trust bubble which is identified that
mechanism is not flexible to real-time applications as vendor intervention is frequently essential for
basic process [18]. Duan et al. has proposed a game-theory method which utilized the cooperation idea
over nodes but its consideration is lack of security and the outcome has resulted with network
overhead [19].

4. METHODOLOGY
In SIoT, social network and IoT give a new paradigm to IoT devices and hence the IoT network
becomes SIoT network which includes humans and IoT devices. In SIoT network, devices have their
private social networks which offer persons to execute rules on these devices to prevent their security
and privacy issues leading to secure communication after establishing trust. Companies such as eBay,
Amazon and Google have utilized the benefits of social relationship models for providing reliable and
secured services using the metrics of trust and reputation with reference to SIoT devices. In SIoT
network, trustworthiness of IoT devices is measured using several trust management models. Social
network mainly builds upon users having like own or business interests, events, experiences or real-
life connections. Growth of SIoT is also depending upon communicating model of the IoT devices to
approve a social approach. In SIoT network, the devices are accomplished for building social
relationships with others. The interactions among devices can ensure in their social network. In SIoT
network, IoT devices start communication with each other after establishing trust using a trust
management model. In social network, users are connected through each other over social connections
including contacts, acquaintance, friends, relatives etc. These connections need not ensure that the
users know each other personally and having greater friendship affinity, trustworthiness, reputation
etc. The SIoT technological development has created the path for various organization services in
several domains. Moreover, this development may assist the attacker in disturbing the trustworthy and
reputation of network services. Hence, there is an essential requirement for securing the SIoT network
from the malicious nodes and create them with non-threatening. Thus, the CT framework has been
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 51

proposed for using the cooperative concept in securing the network from malicious nodes whereas the
proposed CT mechanism is illustrated in figure 2.

Fig. 2. Mechanism of proposed Cooperative Trust (CT) model

In order to determine the destination node (Y) is trustworthy, the source node (X) needs to send the
request through its neighbor nodes such as Nd1, Nd2, Nd3, Nd4 and Nd5. These nodes have been
utilized for forwarding the encoded and decoded packet to Y. Moreover, the process of this
cooperative mechanism is illustrated below. The source node (X) have send the encoded packets to
neighbor nodes which is then it is send to the respective Destination Node (Y). The send encoded
packets are made to be decoded and reply is forwarded to the repository, then the respective node is
determined to be Y. Therefore, the respective node Y is said to be cooperative else malicious or
selfish. Thus, the aggregated trust reply from the repository is sent to node X that evaluate in decision
making of X to determine the node Y is the trust node for communication.

The proposed CT model assist in evaluating the trust value has been modeled as triplet µ = (M, N,
Q)
‘i’ node represents evaluating node for encoding the packets
‘j’ node represents evaluated node for decoding the packets
Where M = {Nd1, Nd2, Nd3, Nd4.. } is the set of neighbor nodes of node j,
N = {n1, n2, n3… } is the set of positive reports received for evaluated node j from neighbor
nodes.
Q = {q1, q2, q3… } is the set of negative reports received for evaluated node j from neighbor
nodes,
x (M) = x(N) + x(Q) ……………………….(1)
Trust value of evaluated node at time instant t is given as
= + ………………………..….(2)
Then the TV represents trust value is normalized (range 0 to 1) and decision is taken accordingly,

Normalized = ……………………..……(3)
52 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Algorithm for cooperative trust mechanism model:

Step:1 Start with evaluating trust of node ‘j’ is ready for node ‘i’
Step:2 Then node I sends trust request to all the neighboring nodes of j
Step:3 All the neighboring node will send the encoded packet to node ‘j’
Step:4 Node j decodes the packet and generate the report Rm=1 if decoded is successful else
Rm = -1 if not packet sent to repository for aggregation.

Step:5 The above step2, step3 and step4 can aggregated data which is normalized and the trust
value is evaluated

Step:6 If the trust value is above the threshold, the evaluated node is trusted and the communication is
smooth otherwise risky communication.

5. PERFORMANCE EVALUATION
Performance indices are used to measure the success of the system. Our model uses the following
parameters as the performance indicator. The proposed approach can be evaluated in computing
devices trust by the Contiki-2.7 Cooja simulator. Moreover, this research has implemented with RPL-
UDP for determining an accurate network traffic flow and by considering some malicious nodes have
interrupted the traffic of the network that usually troublesome the trustworthiness. Thus, the range
value of trust is from 0 to 1 in which the “0” represent the minimum value and “1” represent the
maximum value but the default value is the minimum value. Table 1 has illustrated the simulation
parameter used for evaluation.

TABLE 1: Mechanism of proposed Cooperative Trust (CT) model

Parameter Value
Simulation time Max 300 sec
Number of nodes(neighboring) Max 60
Number of malicious nodes Max 40
Communication range 50m
Protocol RPL-UDP
Initial trust value 1.5

Trust Value – The mutual relationship among the two nodes is trust whereas the
communication type is generally decided based on the calculated trust value as per equation
(3) which is illustrated in Table 2.

TABLE 2: Type of communication

Value of Normalized
Trust Type Communication Type
Trust

0-0.50 Untrusted Hazard communication

0.51-0.70 Medium trust Risky communication
0.71-1.00 High trust Trusted communication
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 53

The above mechanism is repeated for every node and nature of communication between trustor and
trustee is established.

6. COMPARATIVE ANALYSIS OF THE PROPOSED MODEL BASED ON TRUST

VALUES
There are several models that have been proposed in the trust domain such as Trust-Doe approach
[20], Belief-based Trust Evaluation Mechanism (BTEM) approach [21] so on. During the analysis of
Trust-Doe approach, malicious node present in the network can be detected but lack in accuracy
detection which is limited only for collusion attack. In other hand, the BTEM approach is
implemented and outperforms better than Trust-Doe approach. Thus, the BTEM has improved the
network trust and handling capacity with various attack types namely DoS, bad-mouthing etc. It has
detected based on the value of malicious path and its node. The highest value of path or node can be
considered as trustworthy path or node whereas lowest value can be considered as untrusted path or
node. The difference of trustworthy and untrusted path will be measured as follows. In the
experimental results, the proposed model illustrates in table.3 achieves highest trust value evaluation
for each transaction based on varying the malicious nodes, therefore security is considerably better for
SIoT framework.

TABLE 3: Communication Nodes Vs Trust Values

Percentage of Trust Values

Communication Nodes Proposed cooperative trust Existing system of BTEM (%)
model (%)
10 40 28
20 52 40
30 58 40
40 78 32

Fig. 3. Comparative analysis of trust values based on communication nodes

Figure.3 has illustrated the percentage of trust value for the models with comparative analysis based
on 40 communication nodes presents in the network. The figure 3 shown the network trust value
related to presence of varying malicious node percentage. The trust value for proposed trust model is
high for all communication nodes whereas the trust value gets increased based on the incremental of
communication node. The node of 20 and 30 consists of same trust value percentage of 40% in
54 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

existing model but the value of proposed trust model percentage is 52% and 58%. Finally, the
communication node of 40 with the trust value of 32% in existing BTEM and for proposed trust model
is 78%. Thus, the reliability and accuracy of proposed more is comparatively higher in proposed trust
model than BTEM model.

7. CONCLUSION
In this study, present a model for calculating Trust evaluating model for IoT devices in SIoT network.
In SIoT network, devices have their individual social networks which offer persons to execute rules on
these devices to prevent their security and privacy issues. It also leads to secure communication after
establishing trust, where trustworthiness of IoT devices are measured using reputation and trust
metrics with reference to the devices. Our model is lightweight and deterministic in nature. This paper
has introduced a comparative study of proposed CT model with existing model in accordance with
data of both encoding and decoding which assist in assessing SIoT network trust by normalizing and
evaluation of data. Moreover, the higher trust value present in the communication node is considered
to be an accurate and better trusted path in the network whereas the lowest trust value present in the
communication node is determined as an untrusted path of the network that may contain malicious
nodes. Hence the proposed cooperative trust model provides highly secure than the existing
framework. This performance can be increased and more appropriate in social network such as
Facebook, LinkedIn, Twitter, Instagram etc. In future introduce a new method of encoding and
decoding methods like Viterbi decoder will suited for SIoT.

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56 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

A NOVEL APPROACH TO OPTIMIZE WATER

AND FERTILIZERS IN AGRICULTURE
USING IOT

D.Louisa Mary1,Dr.M.Ramakrishnan2
1
Assistant Professor Department of Computer Application, St.John’s
College, Palayamkottai, Tirunelveli, Tamil Nadu.
2
Professor & Head, Department of Computer Application, Madurai
Kamarajar University, Madurai, Tamil Nadu.

ABSTRACT
This paper presents a new method for supplying nutrients to the farm. This novel method
uses IoT and Wireless Sensor Network in Farming. Soil Moisture sensor and humidity
sensor monitor the soil properties. These results are updated to the IoT Server. Based on
the values for humidity of the soil, drip irrigation to the plant is on/off through solenoid
valve. In addition this paper concentrates on quantitative analysis of requirement of
nutrients for the plant to avoid overdose or insufficiency of them. This work trains the
machine using precision agriculture for supplying required nutrient to the plant using
solenoid on/off valve through drip irrigation. It also alerts the user by sending SMS (Short
Messaging Service) through GSM to the user on fertigation date and pesticides spraying
date. This will be very helpful for the farmers to remember the fertigation date in their
various activities. The limitation of this work is that the fertilizers used will only be liquid
in state. This technology can also be improved to a large level agricultural production.

KEYWORDS
Iot, Wireless Sensor Network, Sensor, Drip Irrigation, Fertigation, Liquid Fertilizers

1. INTRODUCTION

The population rate is increasing in an exponential way in India. The Rainfall is also not adequate
every year. So India suffers water scarcity every year. In this present scenario it is a very
challenging task to do agriculture manually like sowing, digging and irrigating and to meet out
the needs of food for the increased population. Hence, adequate modifications are required in
agricultural field to increase the productivity and to maintain the quality with minimum water.

Smart farming is a good alternate hi-tech system to meet the needs of food in a better way for
growing population. Wireless Sensor Network (WSN) and Internet of Things(IoT), as one of the
exciting new fields of research, has great promise in addressing the emerging needs of the food in
agriculture area and give more productivity and good avenues. Using this technology the process
for agriculture is automated. Various Sensors pertaining to Soil moisture, temperature and
humidity provide the necessary parameters about the soil and submit the same to the IoT Server
based on which decision is made for drip irrigation. Thus water usage minimization is achieved.

Supplementing Fertilizers is also found to be very essential to increase the yield up to 25 to 50

percent. [16] Proper supplying of fertilizer discourages weed growth also. The correct quantity of

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 57-64, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100207
58 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

nitrogen, Phosphorous , potassium used for plant growth, fruit and flowers and strong stems and
also fight against diseases [17].

So required soil nutrients(NPK) are supplied to the land automatically on time in this proposed
work with less human intervention with the help of WSN and IOT.

2. RELATED WORK
Researches of Carrnige Mellon University worked on plant nursery using Wireless Sensor
Technology [9]. Wireless Sensor Network based poly house monitoring system is explained in
[10] which accurately finds out environment temperature, humidity, CO2 level and sufficiency of
light also. This poly house control technology provides automatic adjustment of poly house. In
[11] authors have proposed development of WSN based detection of above mentioned parameters
for agriculture using Zig Bee protocol and GPS technology. In some projects such as [12] authors
have designed and implemented an approach in the development of crops monitoring system in
real time to increase production of rice plants. Later on use of IoT has been proposed in [13].

In [1] a system is proposed for soil monitoring and fertigation in which Nitrogen(N),
Phosphorous(P), potassium (K) values are determined by comparing the solution with color
chart. In [2], NPK Kit is used to test soil and dispense the fertilizer required. Using IoT &
Wireless Moisture Sensor Network (WMSN) feedback control method in greenhouse crop
irrigation was proposed in [3].

Patil and Kale in [4] developed Android application to collect real time data and alerts through
short Messaging Service(SMS). A paper using fuzzy rules to cultivate vegetables in terrace
proposed in [5]. Ahmed et al. [6] experimented and explain the need of the correct mixture of
fertilizer(NPK) on the lower chrysanthemum. An IoT system for tomato growing stages using
deep learning model is explained in [14]. In [15] S. K. Y. Donzia , H.-K. Kim and H. J. Hwang
proposed a framework for precision agriculture using IoT Gateway. In [8] we presented a smart
farming system which applies drip irrigation and alert the user on date to spread fertilizers and
pesticides.

3. PROPOSED SYSTEM DESIGN

Our Proposed work is illustrated in fig.2. This system is developed with Arduino Uno open
source Microcontroller board based on the Microchip ATmega328P microcontroller with a CPU
Microchip AVR (8-bit),Memory SRAM, and Flash, EEPROM memory for storage purpose It
uses the following components

3.1. Components

Soil Moisture Sensor is used to measure the volumetric water content of soil and humidity
sensors measures the moisture content and send that information to the IoT Server.

RTC – (Real Time Clock ) ds1307 RTC is used to monitor time and maintain calendar . In this
work the Real time clock is on when the seed is planted and the seed planting date is stored in
EEPROM of Arduino which will be useful for calculating the supply of nutrients(fertilizers) and
pesticides to the plant on time.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 59

GSM –SIM800A based GSM/GPRS with dual frequency 900/1800MHz is used in this work .
GSM(Global System for Mobile Communication) is used to send alert messages to the user to
supply fertilizers and pesticides on time.
Relay and Solenoid valve: The required nutrient is applied to the field along with drip irrigation
through the solenoid valve automatic switching ON/OFF and Relay control

Fig-1 Arduino uno with RTC and GSM Relay connection

Arduino receives input from Soil Moisture sensor, humidity sensor, Real Time
Clock(RTC) and produces the results to GSM , IoT Server.

Fig-2 Overall Architecture

60 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

3.2. Proposed Method

3.2.1. Drip Irrigation

Temperature sensor and Soil moisture sensor gets the values from the field and it is sent to the
IoT server for analyzing. if the Soil moisture values are less than the expected threshold value,
solenoid valve automatically opens and the plants are drip irrigated. Here the threshold value for
soil moisture is considered as 50 percentage approximately.

3.2.2. Notifying fertilizer date and Pesticides date

Seed planting date is stored in memory .if the current date is the fertilizer supplying date or
pesticides spraying date then the machine were trained to alert the farmer by sending SMS(short
messaging service) through GSM(Global System for Mobile Communications). The Circuit
diagram for alerting the user is described below.

Fig.3: Circuit Diagram for alerting the user on fertilizer date[8]

3.2.3. Algorithm for calculating the Nutrient to the Soil

After getting the Nutrient details(NPK) about the soil from the lab the following steps are used
for calculating the time needed to automatically apply the required nutrient to the soil through
drip irrigation

Let the Quantity of Nutrient in Soil= X Kg/hectare

1. Optimum Level=(threshold_value) Kg /ha
2. Needed = (threshold_value – X )/ha ;
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 61

3. Area of the actual land(A) = A1 hectare

4. The Nutrient needed for the actual land ( Need_actual) = Needed * A ;
5. Flow Rate in one nozzle = F1/min ;
6. Number of Nozzles for A =N1;
7. Total Flow Rate(TFR)= N1 * F1 ;
8. Nutrient (N) Mixing Composition =NF %
9. Volume of Nutrient dispersed per minute(V) = (NF/100)* TFR ;
10. One litre of Fertilizer contain(FN) =Nutrient in Kg ;
10.1. Weigh Fertilizers supplied per minute (W) = V * FN;
10.2. Time Needed to spray the required nutrient(t) = ((1/W ) * Need_actual) /minute
11. Repeat all the above steps for all nutrients which are applied to the farm through drip and find
the time needed for them to spray.
12. After the time is calculated for all nutrients, compare all the time and find the maximum time
used by the nutrient to spray in the farm.
13. Taking Maximum time as nutrient spraying time and adjust the solenoid valve using the
below calculation for the remaining nutrient and apply them to the farm simultaneously using
drip irrigation .
13.1. Let N1,N2,N3 be the time taken in minutes by the Nutrient1,Nutrient2,Nutrient3
and maximum time is Max .
13.2. Solenoid valve for Nutrient1, Nutrient2,Nutrient3 is adjusted as
N1/Max,N2/Max,N3/Max minutes
14. Finally Solenoid valve automatically switched off when the time is over.
15. End

4. RESULTS AND DISCUSSIONS

Soil Moisture Sensor and humidity sensor senses the moisture contents of the field and send the
details to the Server. If the Moisture content values are less than the threshold value, solenoid
valve automatically opens and start drip irrigation. Through RTC seed sowing date is stored in
EEPROM and from that detail nutrient spraying date and pesticides date are calculated. It sends
an SMS to the user on that calculated date through GSM.

Fig.4. Drip Irrigation [7] Fig.5. Serial Monitor output for alerting the user[8]

Fig.4 shows that the plants are drip irrigated and Fig.5 shows serial monitor output of arduino
which shows that GSM is sending SMS alerts to the user for applying fertilizers. In between time
the farmers collect the soil and test the nutrient percentage in the Lab. When he/she gets the
SMS , He/She supply the required nutrient to the soil through drip irrigation.
62 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

The Threshold value for N,P,K is fixed which is taken from Tamil Nadu
AgriculturalPortal.

Table 1: Nutrient Value [16]

Nutrient Low Medium High

Available Nitrogen(N) <240Kg/ha 240-480 Kg/ha >480 Kg/ha

Available Phosphorus(P) <11.0Kg/ha 11-22 Kg/ha > 22 Kg/ha

Available Potassium(K) <110 Kg/ha 110-280 Kg/ha >280 Kg/ha

Taking threshold value for the Nitrogen(N), Phosphorus(P) and Potassium(K) as 480,Kg,22g, 280
Kg respectively from the above table which was taken from tamil nadu agricultural portal and apply
this value in the algorithm given in section 3 and supplied to the farm through drip.

Arduino automatically calculates the needed nutrients and how much time is needed to spray the
needed nutrients .

Table 2: The results obtained from the proposed algorithm

Nutrient Name Nutrient fertilizer Volume of one litre of Weigh Time

Mixing Nutrient fertilizer Fertilizer needed
composition(%) dispersed contained supplied in to spray
/minute nutrients in kg in min
kg

Nitrogen(N) 5 30 litres 0.5 15 6

Phosphorus(P) 3 18 litres 0.5 1.8 2

Potassium(K) 5 30 litres 0.5 15 3

Here Nutrient fertilizer mixing composition (%) and fertilizer contained nutrient in one litre values
are arbitrarily taken..

Here the maximum time is 6 minutes for Nitrogen fertilizer.

Solenoid valve for nitrogen will open 6 minutes and solenoid valve for Phosphorous and Potassium
is adjusted to (2/6)= 3 minutes and (3/6) =2 minutes . (based on the step 10 in the above procedure)

Hence the total time needed for the above fertilizers(NPK) to spray is 6 minutes .

5. SCOPE OF THE WORK

In future more parameters can be monitored and controlled. Soil Moisture threshold value will be
calculated using fuzzy logic method. Instead of testing NPK of soil in the lab, sensors can be
used to detect NPK value and automatically takes the required nutrient quantity from the tank.
This system can also use android application. Detection of insecticides can also be added in our
future work.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 63

6. CONCLUSION
This system applies the drip irrigation to the plant automatically. And also it informs the user to
spray the fertilizers, pesticides on time. It calculates the required quantity of nutrient to the soil
and supply it through the drip irrigation which saves more water and produce more yield. All the
data will be sent to the server for monitoring and analyzing purpose.

REFERENCES

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[15] Symphorien Karl Yoki Donzia, Haeng-Kon Kim and Ha Jin Hwang ,” A Software Model for
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AUTHORS

D.Louisa Mary Assistant Professor of Computer Science, St John’s College,

Palayamkottai has been teaching computer science for the past 13 years. To her
credit she has M.Tech degree along with M.CA., M.Phil. She has also qualified
SET. Her area of interest is Applications of computers in agriculture.

Dr.M.Ramakrishnan is the Head of the Department of Computer Applications

Madurai Kamaraj University, Madurai. He has so far produced fifteen PhD’s and
he has published many papers in reputed journals. He published two books in
Computer Science. His area of research is Network Security.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

SEGMENTATION OF VISCERAL ADIPOSE

TISSUE CAUSING CENTRAL OBESITY USING
DEEP LEARNING ON ABDOMINAL MRI
B Sudha Devi1 and Dr.D.S Misbha2
1
Department of Computer Science, Nesamony Memorial Christian College,
Marthandam, India
2
AP, Department of Computer Science, Nesamony Memorial Christian
College, Marthandam, India

ABSTRACT
In recent years, obesity is highly prevalent and is related with increased risk of many
diseases. The distribution of abdominal adipose tissue plays a major role to assess central
obesity. The basic objective of this study is to develop a novel method for automatic
segmentation of visceral adipose tissue(VAT) and subcutaneous adipose tissue(SAT) from
abdominal Magnetic resonance imaging(MRI) slices which is implemented in two steps.
First, clustering of image is done to classify MR image into adipose tissue and non-adipose
tissue. Second, after clustering the image, segmentation is done to separate VAT and SAT by
a convolutional deep neural network. Sixty five MR images have been used in this study
where deep learning techniquet have been adopted for the segmentation of VAT and SAT.
The proposed and the manual measurements produced the Dice scores of 0.97 and 0.96 for
SAT and VAT respectively. The experimental results show that the deep learning method
produces better segmentation results with high accuracy .

KEYWORDS
Obesity, Visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), Magnetic
resonance imaging (MRI), deep learning

1. INTRODUCTION
Visceral adipose tissue and subcutaneous adipose tissue are the two types of abdominal adipose
tissues seen in humans. Subcutaneous adipose tissue is the fat that is stored beneath the skin
where as visceral adipose tissue is the fat that is deposited between the internal organs in the
abdominal cavity. Too much of any body fat is bad for our health. But compared to subcutaneous fat,
visceral fat is more likely to raise the risk for serious medical issues like Alzheimer’s disease, type 2
diabetes, cardiovascular diseases, musculoskeletal disorders, some cancers and high
cholesterol. The excess amount of VAT in the human body is known as obesity. Although Body mass
index (BMI), waist circumference and waist-hip ratio (WHR) has been used as a traditional measure
of obesity, the results are approximate in obese and underweight individuals. Also, these
measurements do not differentiate SAT and VAT [1]. At present, obesity can be determined by the
amount of VAT in the abdominal region [2]. Apart from the traditional measures such as BMI and
waist-hip ratio, other methods like bioelectrical impedance, dual energy X-ray absorptiometry,
CT and MRI based techniques were used to measure abdominal fat. Recently, imaging modalities
like CT and MRI are widely used to assess abdominal adipose tissue. The quantification of VAT

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 65-72, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100208
66 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

from CT and MRI is considered to be more accurate and consistent measure of the distribution of
body fat. On the other hand, CT is exposed to high radiation and so rarely used. MRI can measure
SAT and VAT without any side effects. As a result, several unsupervised methods for the
segmentation of adipose tissue are being developed. There are several studies that provides
evidences on the accuracy of automated segmentation and quantification using deep learning.
Different models like fully convolutional network (FCN), U-net neural network model,
augmented active shape model and multi-atlas segmentation model uses different algorithms for
the segmentation process[3].

2. RELATED WORKS
CT and MRI images are commonly used to segment adipose tissue. Deep learning using
convolutional neural networks have recently gained importance in the literature for
solving problems in a variety of fields, including image recognition, classification, and
segmentation. Deep learning algorithms depend on large cohorts of training data to
extract important features from the targets for new predictions.

Hui et al. [4] proposed an MRI based approach for segmenting VAT and SAT using
spoke template and intensity based filtering. Sadananthan et al.[5] proposed a graph
theoretic segmentation algorithm to segment VAT and SAT from MR images. A three-
level convolutional neural network was suggested by Wang et al.[6] for the
segmentation of SAT and VAT.

Deep learning concept was used by Weston et al. [7] to perform abdominal VAT and
SAT segmentation. Langner et al. [8] proposed a three channel U-Net architecture for the
segmentation of SAT and VAT using abdominal MR images of humans. Ning Shen et
al. [9] presented a quantification of subcutaneous and visceral adipose tissue from MRI
based on machine learning. Young Jae Kim [10] proposed a method using separation
mask to detect SAT and VAT quantities from CT images. For the segmentation of VAT
and SAT on CT images, Grainger et al.[11] used the deep learning concept based on the
U-Net architecture. Most of the MRI based adipose tissue segmentation algorithms
concentrates on raw features like intensity, shape and location other than the intrinsic
features of tissues. Fuzzy c-means algorithms [12] and K-means clustering algorithms
[13] groups the pixels by considering the intensity features. Currently, multi-echo Dixon
technique is also used for the assessment of adipose tissue. In this technique, to derive
chemical shift-separated water and fat images from multiple source images acquired at
different echo times a spectral model is used. To segment VAT and SAT in the
abdominal region using DIXON MRI images, Estrada et al.[14] proposed a deep learning
pipeline .

In this study, we introduce a novel method for VAT segmentation using fuzzy c-means
algorithm and convolutional deep neural network that results in high performance and
accuracy.

3. PROPOSED METHODOLOGY
Convolutional neural network is a class of deep neural network applied to analyze visual
imagery in medical applications. As the deep learning method is independent of hand
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 67

crafted features, it is able to learn the features from the image data that cannot be
extracted by the image analyst. In this proposed work, segmentation of VAT and SAT
was done by the U-Net architecture which is a convolutional deep neural network. The
overall representation of the proposed CNN is shown in figure 1.

Target image
Input MRI image

Clustering

Clustered image

Segmentation

Segmented image
VAT:Green SAT: Red
Non-adipose tissue: Blue

Figure 1. Flow diagram of the proposed CNN based segmentation method

In the first step, clustering is done to classify the MR image into adipose and non-adipose tissues.
This is done using fuzzy c-means (FCM) algorithm as it is highly efficient and does not require
any previous information. During the iterations of FCM, the energy function that is to be
minimized is defined as
68 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

where K represents the total number of voxels of the MR image, N is the number of clusters
(Here N=2), xi is the voxel intensity and cn is the center intensity of the nth cluster. For the above
function, iterative optimization was done with the updation of fuzzy cluster membership of each
voxel and the center of each cluster. When the centers and the membership of the cluster were
stabilized, or the allowed iteration was reached, the continuing iteration will be stopped. Figure 2
displays the result of clustering of an MR image. The grey color indicates adipose tissue and the
black color indicates non-adipose tissue.

a b

Figure 2. a) Original MRI slice b) Classification of adipose and non-adipose tissue using FCM clustering

In the second step, U-Net, a convolutional deep neural network was employed for the
segmentation of VAT. The architectural design of U-Net consists of several cascading layers of
learnable convolutional filters . The organization of the system includes five downsampling and
five up-sampling layers, that minimized the input image resolution of 512 x 512 to a 16 x 16 x
196 representation which is upsampled into a 512 x 512 x 6 output. A hyperbolic-tangent
activation function(tanh), that normalized the values to the range of -1 to +1, follows each step
with two successive 3x3 convolutions. This is followed by max-pooling whose kernel size is 2 x
2 pixels. In the next half of the network, a 2 x2 nearest-neighbor interpolation performs the up-
sampling operations which is followed by two convolutional layers. The output of the
convolutional kernel from the encoding step of the network is concatenated with each
corresponding decoding step, which helps to preserve the detail of the original image. The final
layer consisted of a convolution with a 1 x 1 x 2 kernel which is followed by a sigmoid function,
that provides an output score for both tissue types. The final segmentation is accomplished
through the selection of tissue type with the highest score for each pixel. The U-Net deep
learning model is combined with fuzzy c-means algorithm to classify adipose tissue and segment
VAT. The segmentation results after clustering an MRI slice is shown in figure 3.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 69

a b

Figure 3. a) Segmentation result in which green coloured area indicates VAT, red coloured area indicates
SAT and blue coloured area indicates non-adipose tissue b) Final segmented output from original MRI
slice-pink coloured area represents VAT and blue coloured area represents SAT .

4. EXPERIMENTAL RESULTS
The cohort for this study includes 65 non-contrast MRI datasets collected for standard CAC
scoring. These datasets were collected randomly from the prospective EISNER trial obtained
at NIMS Medical Center. The patient population included asymptomatic subjects without
any previous history of coronary artery disease but with cardiovascular risk factors. The
population is shown in Table 1. There were no scans left because of low image quality in
image or artefacts.. The total number of transverse slices per scan was 55, and each axial
slice had a dimension of 512×512 pixels of 0.684 mm × 0.684 mm. To implement this
proposed model, a workstation with Dual Intel Xeon Processor E5-2630 v2 (Six-Core HT,
2.6GHz Turbo, 15 MB), 4 GB NVIDIA Quadro K5000, 1x8GB DDR3, 1TB 7200RPM
SATA, and Windows 10 Pro workstation is used as a platform. Python 3.7 and open source
machine learning libraries such as TensorFlow 1.13.1, Keras 2.2.4, and Scikit-learn 0.20.3
have been used to develop its working model.

Table 1. Subject Characteristics

Subjects 65
Male 40
Female 25
Age (years) 35 to 65
Diabetes 10
Hypercholesterolemia 40

The segmentation results produced by the proposed model were compared against the results
generated by manual segmentation method. The performance was validated using Dice score and
Jaccard score metrics. Let L and M indicate the manual segmentations and the CNN based
segmentations respectively, then, Dice score is defined as,
70 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

DC =
Jaccard score is defined as,
JC =

The convolutional deep neural network based segmentation method shows good correlation with
manual segmentation. Table 2 shows the results of the proposed CNN and manual method. It can
be seen from the table that the proposed method produced high Dice score value(VAT-0.96 and
SAT- 0.97). The Jaccard scores of VAT and SAT are 0.95 and 0.96 respectively which is also
high compared to manual segmentation. Figure displays the graphical representations of the
performance evaluation results.

Table 2. Performance evaluation of manual segmentation and proposed CNN

Evaluation VAT SAT VAT SAT

method Dice score Dice score Jaccard score Jaccard
score

Manual 0.95 0.95 0.93 0.95

method

Proposed CNN 0.96 0.97 0.95 0.96

Figure. 5. Segmentation performance of manual segmentation and proposed CNN

 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 71

5. CONCLUSION
The proposed deep learning method segments the visceral adipose tissue and subcutaneous
adipose tissue from MR images of the abdomen with high accuracy. The performance is also high
compared to manual segmentation. By segregating VAT and SAT, this work helps the clinicians
to access central obesity and the risks associated with it. This can be further extended to handle
the datasets with less training time.

REFERENCES

[1] D. Wald, B. Teucher, J. Dinkel, R. Kaaks, S. Delorme, H. Boeing, K. Seidensaal, H. Meinzer, T.

Heimann, Automatic quantification of subcutaneous and visceral adipose tissue from whole‐body
magnetic resonance images suitable for large cohort studies, J. Magn. Reson. Imaging. 36 (2012)
1421–1434. https://doi.org/10.1002/jmri.23775.

[2] S. Hussein, U. Bagci, A. Green, A. Watane, D. Reiter, X. Chen, G.Z. Papadakis, B. Wood, A. Cypess,
M. Osman, Automatic Segmentation and Quantification of White and Brown Adipose Tissues from
PET/CT Scans, IEEE Trans. Med. Imaging. 36 (2017) 734–744.
https://doi.org/10.1109/TMI.2016.2636188.

[3] H.J. Park, Y. Shin, J. Park, H. Kim, I.S. Lee, D.-W. Seo, J. Huh, T.Y. Lee, T. Park, J. Lee, K.W. Kim,
Development and Validation of a Deep Learning System for Segmentation of Abdominal Muscle and
Fat on Computed Tomography, Korean J Radiol. 21 (2020) 88. https://doi.org/10.3348/kjr.2019.0470.

[4] S.C.N. Hui, T. Zhang, L. Shi, D. Wang, C.-B. Ip, W.C.W. Chu, Automated segmentation of
abdominal subcutaneous adipose tissue and visceral adipose tissue in obese adolescent in MRI,
Magnetic Resonance Imaging. 45 (2018) 97–104. https://doi.org/10.1016/j.mri.2017.09.016.
[5] S.A. Sadananthan, B. Prakash, M.K.-S. Leow, C.M. Khoo, H. Chou, K. Venkataraman, E.Y.H. Khoo,
Y.S. Lee, P.D. Gluckman, E.S. Tai, S.S. Velan, Automated segmentation of visceral and
subcutaneous (deep and superficial) adipose tissues in normal and overweight men: Automated
Segmentation of Adipose Tissue, J. Magn. Reson. Imaging. 41 (2015) 924–934.
https://doi.org/10.1002/jmri.24655.

[6] Z. Wang, Y. Meng, F. Weng, Y. Chen, F. Lu, X. Liu, M. Hou, J. Zhang, An Effective CNN Method
for Fully Automated Segmenting Subcutaneous and Visceral Adipose Tissue on CT Scans, Ann
Biomed Eng. 48 (2020) 312–328. https://doi.org/10.1007/s10439-019-02349-3.

[7] A.D. Weston, P. Korfiatis, T.L. Kline, K.A. Philbrick, P. Kostandy, T. Sakinis, M. Sugimoto, N.
Takahashi, B.J. Erickson, Automated Abdominal Segmentation of CT Scans for Body Composition
Analysis Using Deep Learning, Radiology. 290 (2019) 669–679.
https://doi.org/10.1148/radiol.2018181432.

[8] T. Langner, A. Hedström, K. Mörwald, D. Weghuber, A. Forslund, P. Bergsten, H. Ahlström, J.

Kullberg, Fully convolutional networks for automated segmentation of abdominal adipose tissue
depots in multicenter water–fat MRI, Magn. Reson. Med. 81 (2019) 2736–2745.
https://doi.org/10.1002/mrm.27550.

[9] N. Shen, X. Li, S. Zheng, L. Zhang, Y. Fu, X. Liu, M. Li, J. Li, S. Guo, H. Zhang, Automated and
accurate quantification of subcutaneous and visceral adipose tissue from magnetic resonance imaging
based on machine learning, Magnetic Resonance Imaging. 64 (2019) 28–36.
https://doi.org/10.1016/j.mri.2019.04.007.

[10] Y.J. Kim, J.W. Park, J.W. Kim, C.-S. Park, J.P.S. Gonzalez, S.H. Lee, K.G. Kim, J.H. Oh,
Computerized Automated Quantification of Subcutaneous and Visceral Adipose Tissue From
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72 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

[11] A.T. Grainger, A. Krishnaraj, M.H. Quinones, N.J. Tustison, S. Epstein, D. Fuller, A. Jha, K.L.
Allman, W. Shi, Deep Learning-based Quantification of Abdominal Subcutaneous and Visceral Fat
Volume on CT Images, Academic Radiology. (2020) S1076633220304268.
https://doi.org/10.1016/j.acra.2020.07.010.

[12] A. Zhou, H. Murillo, Q. Peng, Novel segmentation method for abdominal fat quantification by MRI,
J. Magn. Reson. Imaging. 34 (2011) 852–860. https://doi.org/10.1002/jmri.22673.

[13] G. Thörmer, H.H. Bertram, N. Garnov, V. Peter, T. Schütz, E. Shang, M. Blüher, T. Kahn, H. Busse,
Software for automated MRI-based quantification of abdominal fat and preliminary evaluation in
morbidly obese patients, J. Magn. Reson. Imaging. 37 (2013) 1144–1150.
https://doi.org/10.1002/jmri.23890.

[14] S. Estrada, R. Lu, S. Conjeti, X. Orozco‐Ruiz, J. Panos‐Willuhn, M.M.B. Breteler, M. Reuter,

FatSegNet: A fully automated deep learning pipeline for adipose tissue segmentation on abdominal
dixon MRI, Magn Reson Med. 83 (2020) 1471–1483. https://doi.org/10.1002/mrm.28022.

AUTHORS
Sudha Devi B
Research Scholar, , Dept. of Computer Science,
Nesamony Memorial Christian College, Marthandam,
Tamil Nadu, India.

Dr.D.S Misbha
Assistant Professor, Dept. of Computer Applications,
Nesamony Memorial Christian College, Marthandam,
Tamil Nadu, India.
 BLOCK CHAIN IN FAKE PRODUCT
IDENTIFICATION SYSTEM USING QRCODE
Udhaya Nila1 and Abalin Luther2 Aathi Vignesh3
1
Department of Computer Application, Francis Xavier Engineering College
2
AP,Department of Computer Application, Francis Xavier Engineering
College
2
Department of Computer Application, Francis Xavier Engineering College

ABSTRACT

Every popular brand has fake manufacturers selling a counterfeited item at

cheaper rates. Mostly counterfeiting medicine are selling to customer. For
these factors combined with block chain technology can lead to an efficient
comprehensive approach to reduce counterfeiting. Pharmaceutical
organizations face many challenges regarding counterfeit medicines.
Detecting fault medicines so that it will save public life. To discover the
consciousness of the fake medication issue which requires an expanding
security level for the appropriation of lawful pharmaceutical items.
Manufacturing to user can be recorded, and the user is assured that the scans
weren’t faked. The fake products can be identified by using QR code and it
handles the product data

KEYWORDS
component, formatting, style, styling, insert (key words)

1. INTRODUCTION
This Medicine counterfeiting is a serious worldwide issue, involving networks of manufacture
and distribution that are an integral part of industrialized organized crime. Using a block chain
technology this medicine information will be secured. If at any stage counterfeit medicine is
introduced into the system, it will be detected immediately, and its further penetration will be
stopped. This paper aims to address the issue of drug safety using block chain and encrypted QR
(quick response) code security. Results show that the system thus formed is computationally
intensive but offers a reliable solution to the menace of fake medicines

2. PROBLEM STATEMENT
The growth in medical industry is immense but also it has been developed in production of
counterfeit drugs. The market cost of pharmaceutical counterfeiting has reached billions of
dollars annually. In most existing the fake medicines have been found using Bar codes by
alphanumeric. Bar codes can be scanned in a line. In order to have a good medical industry,
need to prevent from fake drugs. The objective of the system is to identify the counterfeit drugs.
This can be accomplished by adding up data about the medicine into its QR code

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 73-80, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100209
74

 Architectural Diagram

Figure-1 Architecture Diagram

3. EXPERIMENTS AND RESULTS

Module

A. Manufacturer

Manufacturer will register and login to the system by using valid credentials. Then
manufacturer can add the products in its database. They also generate the QR code in the
products.

B. Supplier

Supplier will register and login to the system by using valid username and password. Supplier
will view the product list and if want they can place the order of that drugs by scanning the QR
code

C. Pharmacist

Pharmacist will also register and login to the system with valid credentials. Pharmacist view the
patients request and also view the available products list and if want then they can place the
order of that drugs by scanning the QR code

D. User

User will register and login to the system using valid username and password. User place its
order buy the drugs and at last logout from the system.
 75

OUTPUT SCREEN

Figure- 2 Create Medicine

Figure-3 Manage Medicine

76

Figure-4 Adding Supplier

Figure-5 Admin Login

 77

Figure-6 Manage Supplier

Figure-7 User Login

78

Figure-8 Order

Figure-9 Check QRcode

PERFORMANCE ANALYSIS

The existing and proposed system are analysed. . The problem identified existing is system is
the growth in medical industry is immense but also it has been developed in production of
counterfeit drugs and proposed system gadget may be used in pharmaceutical industry to track
the tablets from its manufacturing until its delivery to patient.Nearly 70% performance has been
increased.

4. CONCLUSION
The Fake product identification system is developed using python and My SQL. This web
application provides awareness of counterfeit drugs to the user. QRcode are used to identify
the fake product. Manufacturer will generate a QRcode for each product. Then through the
web site the user can buy the medicine using QRcode. If the medicine is fake it will generate a
fake identification.
 79

5.FUTURE ENHANCEMENT

In future we implement this in android application. Manufacturer can identify the location while
the customer who check the QRcode that the result is fake. If the user result.

REFERENCE

[1]Jen-Hung Tseng, Yen-Chih Liao, Bin Chong and Shih-wei Liao, “Governance on the Drug
Supply Chain via Gcoin Blockchain”, International Journal of Environment Research and
Public Health, MDPI, 2018.
[2]Andrew O’Hagan, April Garlington, “Counterfeit drugs and the online pharmaceutical trade, a threat
to public safety”, Forensic Research Criminology International Journal, Volume 6 Issue 3 – 2018.
[3]Xiaoguang Liu, Ziqing Wang, ChunhuaJin, Fagen Li, And Gaoping Li, “A Block chain-based
Medical Data Sharing and Protection Scheme”, IEEE Access ( Volume: 7 ), 2019.
[4] A. K. Jha, D. Doolan, D. Grandt, T. Scott, and D. W. Bates, ‘‘The use of health information
technology in seven nations,’’ Int. J. Med. Inform., vol. 77, no. 12, pp. 848–854, 2008
[5] X. Qi, B. S. Emmanuel, O. Kwame, G. Jianbin, D. Xiaojiang And G.Mohsen, ”MeDShare: Trust-
Less Medical Data Sharing Among Cloud Service Providers via Blockchain,” IEEE Access, 2017 .
[6] G. S. Birkhead, M. Klompas, and N. R. Shah, ‘‘Uses of electronic health records for public health
surveillance to advance public health,’’ Annu. Rev. Public Health, vol. 36, pp. 345–359, Mar. 2015
[7] P. T. S. Liu, ``Medical record system using blockchain, big data and tokenization,''in Proc. 18th Int.
Conf. Inf. Commun. Secur. (ICICS), vol. 9977.
Singapore, Nov./Dec. 2016, pp. 254261.
[[8] X. Yue, H. Wang, D. Jin, M. Li, andW. Jiang, ``Healthcare data gateways: Found healthcare
intelligence on blockchain with novel privacy risk control,'' J. Med. Syst., vol. 40, p. 218, Oct.
2016.
[9] W. Raghupathi and V. Raghupathi, ``Big data analytics in healthcare: Promise and potential,'' Health
Inf. Sci. Syst., vol. 2, no. 1, p. 3, 2014.
[10] Wilson JM, Kinghorn R. The Global Risk of Product Counterfeiting: Facilitators of the Criminal
Opportunity. Michigan State University Centre for Anti-Counterfeiting and Product Protection;
2015.
80

AUTHORS

Ms. T. Udhaya Nila doing final year MCA in Francis Xavier Engineering College

Mrs. J. Abalin Luther is working as Assistant Professor in the Department of

Computer Applications, Francis Xavier Engineering College. She is having
teaching experience of 5+ years. Her area of interest is Wireless Sensor networks

Mr. K. Aathi Vignesh doing first year MCA in Francis Xavier Engineering
College
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

ONLINE MCA (POK)

M. Ahamed Fysal1 and P.Sahaya Jenitha2 S.Ganapathy Subramanian3
1
Department of Computer Application, Francis Xavier Engineering College
2
AP Department of Computer Application, Francis Xavier Engineering
College
3
Department of Computer Application, Francis Xavier Engineering College

ABSTRACT
The purpose of the project only for students knowledge. Students using the username &
password to login the website .These project have some new features. In this blog, Daily
morning uploading top 5 technological news and entrepreneurs motivational videos,
Technical videos, Technological Q&A, Alumni projects with them the contacts, user can get
marks and daily timetables.The newly joined students knows about MCA Rank holder,
cultural, symposium and students can express their opinions and can say theirneeds.The
students can knows about the In-campus drives and alumni placements. This document is
meant for describing all the features and procedures that were followed while developing the
system. This document specially mentions the details of the project how it was developed, the
primary requirement, as well as various features and functionalities of the project and the
procedures followed in achieving these objectives. The purpose of the project only for
student knowledge. When students comes to website. They will learn one thing about
technology. Its prominent intensity of this project .Students using the username & password
to login the website .These project have some new features. In this blog, Daily morning
uploading 5 technological news and entrepreneurs motivational videos, technical videos,
technologic Q&A, Alumni project and download the project with zip file. The newly joined
students knows about MCA cultural, symposium and students can express their opinions and
can say their needs. The student can knows about the alumni placements details and contact
with their social media.

KEYWORDS
E-Learning System, Alumni Network Analysis, Campus Social Networking System

1. INTRODUCTION
This project based on PHP Laravel. Its most scalability & reduce code, Large community, rapidly
create a web application and websites . Its have some additional features like videos, projects,
alumni placements etc.The technological news is advantages of students and they improved their
knowledge.This project is meant for describing all the features and procedures that were followed
while developing the system. This document specially mentions the details of the project how it
was developed, the primary requirement, as well as various features and functionalities of the
project and the procedures followed in achieving these objectives. The purpose of the project
only for student knowledge. When students comes to website. They will learn one thing about
technology. Its prominent intensity of this project .Students using the username & password to
login the website .These project have some new features. In this blog, Daily morning uploading 5
technological news and entrepreneurs motivational videos, Technical videos, Technological
Q&A, Alumni project and download the project with zip file. The newly joined students knows

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 81-90, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100210
82 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

about MCA cultural, symposium and students can express their opinions and can say their needs.
The student can knows about the alumni placements details and contact with their social media.

Research and Design of Web-based E-Learning System

The paper combines the course with experience, creatively develops an E-Learning system based
on web, and puts the basic theories of E-Learning and technical development into practice
synthetically.

Alumni Network Analysis

Data on alumni has been used to estimate quality and impact of educational institutions. Tabular
data about individuals’ starting salaries, employment rate, and donation have been used to
determine averages and comparisons.

Design and Implementation of Campus Social Networking System

New campus social networking system for users, which is tightly integrated with the reality
environment of campus and users’ real activity. It will not only achieve the basic communication
function but also provide a unified platform for the teaching, researching, management and many
other aspects of cultural life to teachers and students in campus. It is also an effective support for
the information construction of university.

Provision of the Social Media Service Framework based on the locality/sociality

relations

The paper introduces a methodology to provide the Social Media Service Framework (SMSF) in
order to overcome the limitations of the traditional SNS services and to support the fundamental
semantic web technologies including locality and sociality relationship management, active
information and knowledge sharing schemes, digital community management, social user
management based on ontology system.

The second section discuss about the literature review and continued by problem statements. The
fourth section gives the experiments and results followed by the conclusion and future
enhancement.
.
2. PROBLEM STATEMENT
Architecture Diagram

The Existing system only have some features like disciplinary section, timetable, department
detail. Students can view their time tables. Students can’t learn about technology. View their
college cultural and facility. The student can’t able to say their feedback. The Elearning students
learn only for a suggested subjects. The youtube is a sentiment analysis is distract our mindset
and divert your purpose. Students can only view their alumni placements and not able to contact
with their alumni. They only get the news from the college or department. But the students aren't
hear about tech news. In this proposed have more set of features like News, Motivational
videos for motivate the students, students can say their needs, placement details and one main
thing. Its only for MCA department. Students can view tech news, tech videos and gives their
feedback. The students can view their alumni placements and directly contact with them. So they
easy to get the job ideas. Students can view their alumni projects and download the zip file and
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 83

project documentation and see the video of the project how is working. Students comments the
videos what types of tech they needs. Daily morning Q/A for students quiz knowledge.

Figure :1Architecture Diagram

3. EXPERIMENTS AND RESULTS

Modules

The project “Online MCA(pok)” consists 5 modules for this knowledge system
.
1)User & admin login
2)Tech News
3)Tech videos
4)Biopad
5)Alumni Projects
6)Alumni placements
7)Tech Questions
8)Chatbot
9)Student results
84 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

1) User & admin Login

This module was build to manage the user registration, user authentication, Admin interface, user
login and successful logout from the web application.The user details are enrolled into the
database with a registration form. After logout of the user, the web application redirects to the
Home page.

2) Tech News

The student can read the daily tech news and comments , like or dislike.
The admin can read the user comments

3) Tech videos

The student can view the daily tech videos and comments , like or dislike.

4) BioPOD

The BioPOD used to translate the content in a native language which was preferred by the users.
And admin can able to upload data in the voice mode.

5) Alumni

The student can see the alumni projects and download with zip file.then get project
details with pdf.

6) Alumni placements

The student see the alumni placements and contact with them,Then students easily know MNC
companies and college campus drive details.

7) Tech Questions

The students can attend the daily tech Q/A.

8) Chatbot

A chatbot is a computer program that's designed to simulate human conversation. Users just like
they would converse with another person. Chatbots interpret the words given to them by a person
and provide a pre-set answer"

9) Student results

The students can easily get the semester results and timetable even parents also get the result to
this site.

Data Connection

Laravel makes connecting with databases and running queries extremely simple. The database
configuration file is app/config/database.php. In this file you may define all of your database
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 85

connections, as well as specify which connection should be used by default. Examples for all of
the supported database systems are provided in this file.

Connections correspond to Sessions in SQL standard terminology. A client connects to the

MySQL Server and stays connected until it does a disconnect.The MySQL Clients send
connection requests to the MySQL Server. A connection request is simply a TCP-IP connect
message sent to port 3306 on the server host machine.

Output Screen

Figure :2 Home Page

Figure: 3 Biography
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Figure :4 Chat Box

Figure: 5 Contact

Figure:6 Profile
International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 87

Figure :7Login Page

Figure :8 Admin Login

Figure :9 Student Login

88 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure :10 SignUp Page

PERFORMANCE ANALYSIS

The existing and proposed system are analysed. The problems can be easily rectified with this
concept. Nearly 70% of the performance has been increased.

4.CONCLUSION
This was our project of System Design about “ONLINE MCA (POK)” developed as web
application based on Php programming language. The Development of this system takes a lot of
efforts from us. We think this system gave a lot of satisfaction to all of us. Though every task is
never said to be perfect in this development field even more improvement may be possible in this
application. We learned so many things and gained a lot of knowledge about development field.

5. FUTURE ENHANCEMENT
In future personalize experiences by providing recommendations based on individual preferences.
Reduce screen interactions and time taken for checkout. Collect reviews and feedback. Provide
users with the ease and convenience as against the time-consuming task of typing long feedbacks.
In future, plan to implement the chats in our web application. The students directly chat with the
professors. In future live video will be placed in this project.

REFERENCES

[1] Design and Implementation of College Student Information Management System Based on Web
Services TANG Yu-fangˈZHANG Yong-sheng School of Information Science & Engineering,
Shandong Normal University, Jinan, 250014, China tangyufang2322@126.com; zys@sanlian.com.cn.
[2] Social Media Enhanced Studying and Learning in Higher Education Kirsi Silius, Thumas Miilumäki,
Jukka Huhtamäki, Teemo Tebest, Joonas Meriläinen, Seppo Pohjolainen Hypermedia Laboratory
Tampere University of Technology Tampere, Finland kirsi.silius@tut.fi, thumas.miilumaki@tut.fi,
jukka.huhtamaki@tut.fi, teemo.tebest@tut.fi, joonas.merilainen@tut.fi, seppo.pohjolainen@tut.fi
[3] Zhi-gang YUE,You-we JIN,“Thedevelopment and design of the student management system based on
the network environment”,2010 International Conference on Multimedia Communications,978-0-
7695-4136-5/10 2010 IEEE.
[4] R. B. Guin, S. Chakrabarti, C. Tarafdar, and S. Mandal, “A smart architectural concept for the making
of a university education system using cloud computing paradigm,” in Proc. 2011 World Congress on
Information and Communication Technologies, Mumbai, 2011, pp.48-52
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 89

[5] College Student Management System Design Using Computer Aided System Liangqiu MENG Wuhan
University of Technology; Wuhan, 430070 ,China; Guangxi University of Nationalities ;Nanning,
530006,China mengliangqiu2015@sina.com

AUTHORS

M. Ahamed Fysal doing final year MCA in

Francis Xavier Engineering College

Mrs. S. Sahaya Jenitha working as

Assistant Professor in the
Department of Computer Applications,
Francis Xavier Engineering College.
Her area of interest is Wireless Sensor networks

S.Ganapathy Subramanian doing first year

MCA in Francis Xavier Engineering College
90 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

FX INFRASTRUCTURE COMPLAINT
MANAGEMENT SYSTEM
Selvi1, Sahaya Jenitha2 and Sivanesh3
1
Department of Computer Application, Francis Xavier Engineering College
2
AP,Department of Computer Application, Francis Xavier Engineering
College
3
Department of Computer Application, Francis Xavier Engineering College

ABSTRACT
The FX Infrastructure Complaint Management System is a web application which focuses on
an activity or function, which is based on management of infrastructure of institutions. In this
web application user select faulty accessories and report it to the admin with particular
complaint. It maintains a database of all the information that are recorded and received. It
helps the college to maintain all the accessories safely. The admin get this information,
Admin can perform quick action to repair infrastructure of college. Also according to
students and teachers complaint he quickly know the location of accessories as classroom,
cantine, library, bathroom etc. This web application is mainly focus on the maintenance of
college infrastructure management.

KEYWORDS

Admin, ASP, Web application,

1. INTRODUCTION
This project is aimed at developing an online web application for the College Management
System for the FX Engineering College. The System is an online web application that can be
accessed throughout the organization and outside as well with proper login provided. This system
can be used as an web application for the college to manage the infrastructure complaint from
the student and staffs. The main objective of this Complaint Management system is to focus on
the issues related to internal system. Complaint Management system is a platform independent
application, so this web application can be accessed anywhere in the system. This is also
developed for reduces the communication cost between the staffs and to provide the efficient
service to their staffs.

The system need to provide the services to the user who is accessing this system from the
collected information and this system gathering Call Registration about the issues to provide
services. This system which could enhance the day to day activities of the business with
efficiency and correctness. Once the call Registered by the staff/user, it should be assigned to
service engineers and update the calls as quickly as possible. There are various modules involved
in the system. The second section discuss about the literature review and continued by problem
statements. The fourth section gives the experiments and results followed by the conclusion and
future enhancement

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 91-102, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100211
 92 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

2. LITERATURE SURVEY
Online Infrastructure besides being a basic human need is vital for raising the standard of life,
providing gainful employment, removal of regional backwardness, thereby ensuring overall
development and well being of a country. It is therefore the need of the hour to review the
literature carried out by different complaints, Students/Staffs are also can talk to do their own
Complaints.

Mary rowe (1980-1990),

The concept of an integrated conflict management system was originated and developed by Mary
Rowe, in numerous articles in the 1980s and 1990s. She saw the need to offer options for
complaints and therefore a linked system of choices within an institution system. Many authors
extended the work of Berenbeim,Rowe, and Rowe and Baker, on the topic of internal complaint
systems. They included: Douglas M. McCabe, William J. Ury, Jeanne M. Brett, and Stephen B.
Goldberg. Cathy Costantinon and Cristina S Merchant, and Karl A. Slaikeu and Ralph H. Hasson
extensively explored issues of designing conflict management systems.

Jaenne M.Brett(2010)

The concept of an integrated conflict management system was conceived and developed by Mary
Rowe, in numerous articles in the 1980s and 1990s. She saw the need to offer options for
complainants and therefore a linked system of choices within an organizational system. The idea
of a systems approach has endured well. In recent years however, there has been discussion as to
whether conflict should be "managed" by the organization—or whether the goal is to understand,
deal with and learn from conflict.

David Lipsky(2012)

There is also concern about practical and theoretical issues in "integrating" a system, with some
observers preferring the idea of "coordinating" a conflict system. However 2012 research by
David Lipsky et al., suggests that an increasing number of corporations see themselves as having
"integrated conflict management systems," or "ICMS." David Lipsky et al., suggests that an
increasing number of corporations see themselves as having "integrated conflict management
systems,"or “ICMS”.
Neelain 2012,

M.Sc: University of Neelain Faculty of Graduate Department of Information

TechnologyDecember2012.Lecturer in King Khalid University – College of Science and Artsm
Department of Information Technology.
Khalid 2011-2014,

Faculty of Computer Science And Information Technology Department of Management

Information System September 2009 M.Sc: University of Neelain Faculty of Graduate
Department of Information System December 2011 PHD in information system (under study) :
University of Neelain Faculty of Graduate Lecturer in Neelain University – Faculty of Computer
Science And InformationTechnology – Department of Management Information Systems DEC
2011 to AUG 2014. Lecturer in King Khalid University .
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 93

Mary Rowe 2014

Faculty of Administrative and Financial – Department of Management Information Systems

AUG 2014 until now . current research interests is management information systems ,
information systems , systems development , web design.

3. PROBLEM STATEMENT
A. Architecture Diagram

Figure-1 Architecture Diagram

B. Existing System

FX Infrastructure Complaint Management System” working manually or computerized in a

building. Therefore all types works are maintain in building. So maintain all the maintaining
procedure very difficult. The computerization of FX Infrastructure Complaint Management
System is an integrated package developed as the College Management System in ASP .Net. This
package follows the standards and norms of collage. As opposed to the manual system of
working of College Management System.

C. Proposed System

The main scope of this web application for managing the complaints, track the complaints easily
just using one web application. We can use this web application in various places such as
companies, schools, colleges, hospitals, libraries and in many more places. For placing their
complaints regarding some issue and send it to the respective person who will handle this and
find solutions for this complaints. After sending complaint user also can view status of their
complaint either it will get solved or in a running condition. This process normally we will use
for solving complaints. So according to this our web application is helpful in any area for solving
complaints.
 94 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

4. EXPERIMENTS AND RESULTS

A. Module Description

1.Admin

Admin can view all the complaints in the web application. Admin can also update the status of
complaint according to the work done. So, students and teacher can track their complaint.

2.Staff:

Staff can write their complaint and send it to the admin on the message with the place and name
of the accessory.

3.Student:

Student can also write their complaint and send it to the admin on the message with the place and
name of the accessory.

4.Add Staff:

This module is used to add/register the staffs details in that web application. It is done by Admin.

5.Add Student:

This module is used to add/register the students details in that web application. It is done by Staff.

6.Complaint Management:

This module is manage the complaint which were done by the staffs and students. This Request is
related to the college infrastructure.

7.View Staff/Student List:

In this Module Admin and Staff can view their added Staff/Student List.

8.Add Complaint:

In this module Complaint were posted by Staff / Student ,which were viewed by admin.

9.View Status:

In this module users (Admin/Student) can view their response status send by the admin.

10.Report Generation:

After giving response report will generated in which all the data are included whom the
complaint and request is done.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 95

11.Data Collection:

The administrative user interface concentrates on the consistent information that is practically,
part of the organizational activities and which needs proper authentication for the data collection.
The interfaces help the administrations with all the transactional states like Data insertion, Data
deletion and Data updating along with the extensive data search capabilities. The operational or
generic user interface helps the users upon the system in transactions through the existing data
and required services. The operational user interface also helps the ordinary users in managing
their own information helps the ordinary users in managing their own information in a
customized manner as per the assisted flexibilities.

About Project:

The major inputs and outputs and major functions of the system are follows:
In this Web application First we need to login, it has three pages like Admin, Student and Staff.
Admin can choose.

B. Output Screen

Figure B 2.1 Login Page

96 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure B 2.2 Admin Home Page

Figure B.2.3 Staff Home Page

International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 97

Figure-2. Students Home Page

Figure -3 Staff Registration Page

98 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure -4 View Staff Details

Figure -5 Student Registration Page

Figure-6 View Student Details

International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 99

Figure -7 Add Complaint

Figure -8 View Complaint

Figure -9 View Student/Staff Complaint

100 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure -10 View Status

Figure -11 View Complaints Report

Figure -12 Database for Staff Details

 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 101

Figure-13 Database for Students Details

C. Performance Analysis

The existing and proposed system are analysed. The problem identified is It takes soo much of
time to rectify any issues about infrastructure of our organization. but .Nearly 70% performance
has been increased by using this complaint system. Which make the infrastructure of our
organization better.

5. CONCLUSION
The system has the benefits of easy access because it is be developed as a platform independent
web application, so the admin can maintain a proper contact with their users, which may be
access any where. All communications between the Admin/user and administrator has done
through the online, so this communication cost also be reduced.

6. FUTURE ENHANCEMENT
This system is found tested and examined for its successful processing. Future change in the
environment or processing can be easily adopted by having simple change in coding. It is very
user friendly, cost effective, feature rich and it provides very high level of security. In Future, A
facility information through SMS. In this project Live chat between Admin and User can be done
in the future

REFERENCES

[1] Boshoff, C. and J. Allen (2000). "The Influence of Selected Antecedents on Frontline Staff ’s
Perceptions of Service Recovery Performance." International Journal of Service Industry
Management 11(1):63-90.
[2] BS 8600:1999 Complaints Management Systems Guide to Design and Implementation. England,
British Standards Institute.Chung -Herrera, B. G., N. Gold schmidt, et al. (2004). "Customer and
Employee Views of CriticalService.
[3] Aditi Mhapsekar "Voice enabled Android application for vehicular complaint system using GPS and
GSMSMS technology," in World Congress on Information and Communication Technologies,
2012, pp.520-524.
 102 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

[4] Aaditeshwar Seth, Abhishek Katyal, Rohit Bhatia, Dinesh Kapoor, Balachandran C, Vidya Venkat,
Aparna Moitra, Sayonee Chatterjee, Mayank Shivam, Z. Koradia, Praveen Naidu, “Application of
Mobile Phones and Social Media to Improve Grievance Redressal in Public Services”, m4dposition.
[5] Aditi Mhapsekar "Voice enabled Android application for vehicular complaint system using GPS and
GSMSMS technology," in World Congress onInformation and Communication
Technologies,2012,pp.520-524.
[6] D.D. Lewis, “Feature Selection And Feature Extraction For Text Categorization,” Proc. Workshop
Speech And Natural Language, Pp. 212-217,1992.
[7] E.F. Combarro, E. Montan˜ E´S, I. Dı´Az, J. Ranilla,And R. Mones , “Introducing A Family Of Linear
Measures For Feature Selection In Text Categorization,”Ieee Trans. Knowledge And Data Eng., Vol.
17, No. 9, Pp.1223-1232, Sept.2005.
[8] Zurah Binti Abu, Fadilah Ezlina Binti Shahbudin, Mastura Binti Mansor, Nurul Zahirah Binti Abd
Rahim, Nur Aqilah Binti Norwahi, "Improving user complaint management system and satisfaction
level via reader-friendly linguistic features",International Symposium on Mathematical Sciences and
Computing Research (iSMSC),2015.
[9] J. Breitsohl, M. Khammash and G. Griffiths, "E-business complaint management: perceptions and
perspectives of online credibility", Journal of nterprise Information Management, vol. 23, no. 5, pp.
653-660, 2010.
[10] Ramana Kumar Madupalli Amit Poddar, "Problematic customers and customer service employee
retaliation", Journal of Services Marketing, vol. 28, no. 3, pp. 244-255, 2014.

AUTHORS

S.Selvi doing final year MCA in Francis Xavier Engineering College

Sahaya Jenitha, Department of Computer Applications, Francis Xavier

Engineering College. Her area of interest is Wireless Sensor Networks

M.Sivanesh doing first year MCA in Francis Xavier Engineering College

 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

SELF ATTENDANCE USING OTP IN

ANDROID
Lokesh1, Sahaya Jenitha2 and Sivanesh3
1
Department of Computer Application, Francis Xavier Engineering College
2
AP,Department of Computer Application, Francis Xavier Engineering
College
3
Department of Computer Application, Francis Xavier Engineering College

ABSTRACT
A Attendance is very important for every organizations, Attendance taking has evolved with
better solutions from the time it was invented, from paper based to Computer based System
using so many new technologies that can make it better faster and accurate. In our proposed
system we make use of Self attendance using OTP. In this system there are 3 Main users;
Admin responsible to add class, subjects, teachers and students; second teacher who will
take the attendance and the third Student who can mark him/her as present and see their
previous attendance records. The process goes like this, the teacher select the class for
attendance a OTP is generated which will last for 60 seconds, the OTP need to be entered in
the Student’s app and mark him/her as present, once the OTP is expired the teacher can
make the necessary changes in the attendance sheet and submit the attendance.

KEYWORDS
Network Protocols, Wireless Network, Mobile Network, Virus, Worms &Trojon

1. INTRODUCTION
Attendance is very important for every organizations, Attendance taking has evolved with better
solutions from the time it was invented, from paper based to Computer based System using so
many new technologies that can make it better faster and accurate. In our proposed system we
make use of Self attendance using OTP. In this system there are 3 Main users; Admin responsible
to add class, subjects, teachers and students; second teacher who will take the attendance and the
third Student who can mark him/her as present and see their previous attendance records. The
process goes like this, the teacher select the class for attendance a OTP is generated which will
last for 60 seconds, the OTP need to be entered in the Student’s app and mark him/her as present,
once the OTP is expired the teacher can make the necessary changes in the attendance sheet and
submit the attendance.

Taking attendance with android based system makes faster and better. In this all can make use of
self attendance using OTP. The respective staff generate an OTP which lasts for 30 sec
attendance very important for every organizations, Attendance taking has evolved with better
solutions from the time was invented, from paper based to Computer based System using so
many new technologies that can make better faster and accurate. In our proposed system we use
of Self attendance using OTP. In this system there are 3 Main users; Admin responsible to add
class, subjects, teachers and students; second teacher will take the attendance and the third

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 103-111, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100212
104 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Student who can mark him/her as present and see their previous attendance records. The process
goes like this teacher select the class for attendance a OTP is generated which will last for 60
seconds, OTP need to be entered in the Student’s app and mark him/her as present, once OTP is
expired the teacher can make the necessary changes in the attendance sheet and submit the
attendance.

The second section discuss about the literature review and continued by problem statements. The
fourth section gives the experiments and results followed by the conclusion and future
enhancement

2. LITERATURE SURVEY
K. Akhila1 and B. Prathyusha (2013),

A Education system in India has been changing widely in last 10 years due to the development of
the technology. Smart class, E-learning, Video conferencing are some of them. The core idea of
this paper is to implement some of the emerging technologies like mobile computing and near
field communications and advances in behavioral science studies to make a better educational
system. This paper will be implemented in application as two parts. A secure framework for
implementing different educational service mobile applications like, mobile attendance, mobile
marks register etc by using Android and java applications . The second part will leverage Near
Field Communication technologies and gamification behavior approach to incorporate game
mechanics into activity oriented learning systems. To update the all data through web server by
using GPRS technology.Indian Institute of Education, Pune.(2006)

Monika Singh (2017),

The main objective of this paper is to carry out some of the emerging technologies like mobile
computing, Information and Communication Technology and advances in behavioural science
studies to enhance and enriched the current educational system scenario, since the educational
technology in India has been get modernizing in the recent past years due to the development and
penetration of Information and Technology. The mobile based technology has been chosen for
this study as well as for the project. The methodology of this work is to developed an android
based mobile application attendance management system where attendance can be recorded via
mobile devices using “php” and “MySQL” server .This developed software stores ,retrieves and
deliver the information about the student information such as present or absent through mobile
device in the provided server database. The final result of this project are very useful for the
educational organizations to keep ,track and maintain the database of students.

Dhinam Kumar Sarker(2016),

In the system the teacher can call the student by their name or identity number of the student
which the student can respond or can pass the attendance sheets to login. To overcome this
process this represents the attendance system prototype. The radio frequency identification and
the process of getting integrated system of reliable attendance management system is been
developed in the programming language to monitor the attendance system.

M. PavanKumar(2017),

Our project is an efficient and user friendly Android mobile application for an Attendance
Monitoring. The application will be installed on the user’s (in this case teacher’s) smart phone. It
intends to provide an interface to the teacher who will require minimal details to input for
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 105

marking of attendance of a particular class of students. Apart from that, the application would
support strong user authentication and quick transmission of data via the web service. Another
noticeable feature of the entire application would be that no data would be stored on the user
device in any form whatsoever. The application thus build would also help to avoid the chance of
a proxy as the application would be handled by the teacher only.

Amrutha(2020),

We have seen over the years that the process of manual attendance has been carried out across
almost all educational institutions. The process is not only time consuming but also sometimes
inefficient resulting in the false marking of attendance. Today, we need not maintain pen and
paper based attendance registers. Following this thought, we have proposed an attendance
monitoring system based on the concept of web services which is implemented as an Android
mobile application that communicates with the database residing on a remote server. The mobile
application would require connecting to the database using either General Packet Radio
Service(GPRS) or Wi-Fi technology. This paper discusses the proposed system, overview of the
design, the various modules of the system and its implementation.

3. PROBLEM STATEMENT
A. Architecture Diagram

Figure-1 Architecture Diagram

B. Existing System

 User login in and make the attendance which is not used securely.
 Anyone can able to login and mark on the attendance.
 Physical taking attendance are available in present days.
 Wastage of time.

C. Proposed System

 This application allow the user to mark attendance based on the OTP.
106 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

 The student needs to login and and enter the OTP received.
 In this system on using OTP malpractice is avoided by verification
 User can able to view attendance Percentage on Monthly wise.

4. EXPERIMENTS AND RESULTS

A. Module Description

The system comprises of 3 major modules with their sub-modules as follows:

1. Admin: (Web Application)

 Login: Need to enter login credentials into web interface by the admin or the authorized
person.
 Add/View Course:Can add a new course into the system and also can view it.
 Add/View Subject: Can add a new subject to the equivalent course into the system and
also can view it.
 Add/View Student: Can register new student details into the system and also can view it.
 Attandance Report: System allows admin to generate student defaulters list

2. Teacher: (Android)

 Login: Here, teacher need to enter the login credentials into android app in order to mark
the attendance.
 Generate OTP:Teacher will generate an OTP which will be visible for 60 seconds and take
attendance
 View Attendance: Teacher will be able to view student attendance of students.

3. Student: (Android)

 Login: Here, both Parent as well as student can login using the student
 L;roll no. or with an email id.
 Mark Attendance:Once OTP is generated by the teacher, students can input the
OTP in their application to get their attendance marked.
 View Attendance: Here, student itself can view the attendance.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 107

B. Output Screen

Figure-2 DashBoard

Figure -3 Register and Login Page

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Figure-4 Add Staff and Student

Figure-5 View members

 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 109

Figure-6 Front Page

Figure-7 Sending OTP

C. Performance Analysis

The existing and proposed system are analysed. The problem identified is User login in and make
the attendance which is not used securely. Anyone can able to login and mark on the attendance
and Wastage of time but .Nearly 70% performance has been increased by using the OTP system.
Which make more accurate attendance

5. CONCLUSION

This system is a new age, verified, well tested, promising, cost effective and technologically
sound. That marks a bar for a cheat free Attendance system making cheating unappealing and
110 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

easily detectable. Attendance system as build under this research has cleared out discrepancy in
storage of data and also false attendance pattern. This attendance system has reduced all the time
taking manual work that the lecturer had to go through before starting the lecture.

6. FUTURE ENHANCEMENT

After In future, this application can be featured comment boxes or group chat, so that students
who hesitate to ask doubts in the classroom, may is etheir doubts in the web application. Also,
assignments can be posted by lecturer and the work of students can be monitored frequently via
the application. Assessments like Quiz, learning agility test, etc., can be established in the
application.

REFERENCES

[1] Somasundaram, V., Kannan. M, Sriram, V., 2016, “Mobile based Attendance Management System”,
Indian Journal of Science and Technology, 9 (35), pp. 1- 4.

[2] Rakhi Joshi, Shete, V., Somani, S. B., 2015, “Android Based Smart Learning and Attendance
Management System”, International Journal of Advanced Research in Computer and Communication
Engineering, 4 (6), pp.

[3] Akhila, K., Prathyusha, B., PavanKumar, M., Amrutha, M., 2013, “A Novel Approach Of Mobile
Based Student Attendance Tracking System Using Android Application”, International Journal of
Engineering Research & Technology (IJERT).

[4] Avinaash Ram, S.P., Albert Mayan, J., 2015, “Mobile attendance management and employee
registration”, ARPN Journal of Engineering and Applied Sciences, 10 (8).

[5] Talukder Mohammad Salah Uddin, F. A., Allayear, S. M. Das, N. C., 2014, “A location based time and
attendance system”, International Journal of Computer Theory and Engineering, 6 (1).

[6] Riya, L., Suruchi, G., Harshil, J., Harish N., 2015, “Bluetooth smart based attendance management
system”, International Conference on Advanced Computing Technologies and Applications, Procedia
Computer Science.

[7] Jessenth E.P., Mura

[8] L;lidharan, M.R, Srikanth, S., Ramesh, E., Prabhu, S., 2014, “Android application for student activity
register”, IJREAT International Journal of Research in Engineering & Advanced Technology, 2 (2).
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 111

AUTHORS

S.Lokesh doing final year MCA in Francis Xavier Engineering College

Sahaya Jenitha, Department of Computer Applications,Francis Xavier

Engineering College. Her area of intrest is Wireless Sensor Networks

M.Sivanesh doing first year MCA in Francis Xavier Engineering College

112 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

FX CALORIES CALCULATOR & FITNESS

ADVISOR
N.Shahul Ashfar 1 and J.Abalin Lurther 2 and L.Antro James3
1
Department of Computer Applications, Francis Xavier Engineering College
2
AP, Department of Computer Applications, Francis Xavier Engineering
College
3
Department of Computer Applications, Francis Xavier Engineering College

ABSTRACT
Calorie counter to record and estimate number of calories we need to consume daily.
“FITNESS START WITH WHAT WE EAT”. This project can also provide guidelines for
gaining or losing weight. That have heard it way to get started with the very boring term
dieting. A number of mobile fitness devices as well as smart watches have emerged on the
technology landscape. Body Mass Index is a simple calculation using a person’s height and
weight. A BMI of 25.0 or more is overweight, while the healthy range is 18.5 to 24.9. Serious
fat-burning activity uses the large muscle groups of the body – the thighs and bottom, chest
and back. The greater the overall recruitment of muscle, the higher the calorie expenditure.
So in your workouts, That are much better off using, say, the rower than isolating your arms
for maximum calorie burn.

KEYWORDS

component, formatting, style, styling, insert (keywords)

1. INTRODUCTION
This Calorie Calculator is based on several equations, and the results of the calculator are based
on a estimated average. The Harris-Benedict Equation was one of the earliest equations used to
calculate basal metabolic rate (BMR), which is the amount of energy expended per day at rest. It
was revised in 1984 to be more accurate and was used up until 1990, when the Mifflin-St
Equation was introduced. The Mifflin-St Equation also calculates BMR, and has been shown to
be more accurate than then revised Harris-Benedict Equation. The Katch-McArdle Formula is
slightly different in that it calculates resting daily energy expenditure (RDEE).

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 113-120, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100213
114 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

2. ARCHITECTURAL DIAGRAM

Fig-1 Architecture Diagram

3. EXPERIMENTS AND RESULTS

A. Module

The project “FX CALORIES CALCULATOR & FITNESS ADVISOR” consists 5 modules for
optimizing

1. User and Admin Accounts

Admin can monitor the user and the user details. Admin is authorised to add, updated and deleted
slots. Admin can view the page. Unlike users, admins have access to the Account Dashboard and
billing information. Admin is the role with the highest level of access to your website. Admins
can add content on all pages and access all items in the Admin Toolbar. Instead, authors are
assigned a specific page (or pages) of the website on which they can add content. Any changes
an author makes are automatically saved, then submitted for review in the notification.

2. Calories Calculator

This module can be calculate the total body calories. Body calories may various to consume
situational foods. Unwanted calories did not add to take health food fitness body. The “quality”
of calories consumed is also important. There are different classifications of foods in terms of
calories. This includes high-calorie foods, low-calorie foods, and empty calories. Consistent with
their naming, high-calorie foods are foods that are calorically dense, meaning that there are a
high number of calories relative to serving size.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 115

3. Foods Of Calories

Nuts and grains increase good calories. Pulses and wheat increase good calories. Oil calories. A
calorie is a unit of measurement. A calorie is a unit of energy. Proteins: Red meats, pork, chicken
with skin on (roast or broil don’t deep fry for your health), salmon or other oily fish, beans,
whole milk, eggs, cheese, full-fat yogurt. Carbohydrates: potatoes, brown rice, whole grain pasta,
whole grains, whole grain Breads

4. BMI Calculator

This module can weight category—underweight, healthy weight, overweight, and obesity.
BMI=m/h2. BMI is an inexpensive and easy screening method. The formula is BMI of 25.0 or
more is overweight. health is at risk. BMI is 17.5. This means that you are underweight. Being
underweight makes you more prone to diseases because it signifies that your body’s immunity is
weak. Children’s BMI values are compared with other children of the same age and sex and a
percentile is calculated.

5. Fat Burn Exercises

Serious fat-burning activity uses the large muscle groups of the body – the thighs and
bottom,chest and back.The greater the overall recruitment of muscle, the higher the calorie
expenditure. Caffeine is a substance commonly found in coffee, green tea and cocoa beans.Green
Tea Extract. Green tea extract is simply a concentrated form of green tea. Protein Powder.
Protein is incredibly important for burning fat.Soluble Fiber. There are two different types of
fiber — soluble and insoluble. .Yohimbine.

B. Output Screen

Fig-1 Home Page

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Fig-2 Login Page

Fig-3 Register Page

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Fig-4 Modules Page

Fig-5 Calories Calculating

118 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Fig-6 BMI Calculating

Fig-7 Exercise Page

4. PERFORMANCE ANALYSIS
The existing and proposed system are analysed. The identified existing is system will also help
in providing real time information provides some avenues for future research on IoT-based
health care based on a set of open issues and challenges.Nearly 70% performance has been
increased.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 119

5. CONCLUSION
All foods, including “healthful foods,” should be consumed in moderation, and distinctions can
often be misleading since even natural foods like fruits can have large amounts of sugar,and
foods labeled as “health foods” such as low-calorie foods, reduced-fat foods, etc. Can potentially
replace one unhealthy component with another. it greatly ease users who would like to quickly
snap a picture and record their calorie intake. A prototype is developed to test and face the
challenges of recognizing Malaysian traditional food.

6. FUTURE ENHANCEMENT
It is important to remember that proper diet and exercise is largely accepted as the best way to
lose weight. It contains to business related of sales to some nutritional clinics.It is inadvisable to
lower calorie intake by more than 1,000 calories per day, as losing more than 2 pounds per week
can be unhealthy, and can result in the opposite effect in the near future by reducing metabolism.

REFERENCES

[1] Ng M, Fleming T, Robinson M, et al. Global, regional, and national prevalence of overweight and
obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of
Disease Study 2013. Lancet 2014; 384(9945): 766–781.
[2] Giugliano D, Ceriello A, Esposito K. The effects of diet on inflammation: emphasis on the metabolic
syndrome. J Am Coll Cardiol 2006;48:677–85.
[3] Bailey, S., Gerada, C., Lester, H. &amp; Shiers, D. (2012). The cardiovascular health of young people
with severe mental illness: addressing an epidemic within an epidemic. The Psychiatrist, 36, 375–
378.
[4] C. P. Lambert, L. L. Frank and W. J. Evans, “Macronutrient considerations for the sport of
bodybuilding,” Sports Med. 2004;34(5):317-27
[5] Longo VD, Mattson MP. Fasting: molecular mechanisms and clinical applications. Cell Metab
2014;19:181–92.
[6] Stephanie B. Baker; Wei Xiang; Ian Atkinson: “Internet of Things for Smart Healthcare: Technologies,
Challenges and Opportunities”, IEEE Access ( Volume: 5), DOI: 10.1109/ACCESS.2017.2775180
120 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

AUTHORS

N.SHAHUL ASHFARN doing final year MCA in Francis Xavier Engineering

College.

Mrs. J. ABALIN LUTHER is working as Assistant Professor

in the Department of Computer Applications, Francis Xavier Engineering
College. She is having teaching experience of 5+ years. Her area of interest is
Wireless Sensor networks.

L.ANTRO JAMES Doing first year MCA in Francis Xavier Engineering

College.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

WOMENS SAFETY MOBILE APP

N. Ramesh Kannan1 and S.Sujitha2 S,Ganapathy Subramanian3
1
Department of Computer Application, Francis Xavier Engineering College
2
AP Department of Computer Application, Francis Xavier Engineering
College
3
Department of Computer Application, Francis Xavier Engineering College

ABSTRACT
This Women Safety application is used for protects womens from Crimes.Women safety
matters a lot whether at home, outside the home or working place.Most of the women of
various ages, till this day are being subjected to violence, domestic abuse. In this system user
needs to feed three contact numbers, in case of emergency on moving the phone up and down
thrice, the system sendsSMS and calls on one of the numbers feeded into the system with the
location.The phone starts vibrating and siren starts ringing. Women’s safety is a big concern
which has been the most important topic till date. Women safety matters a lot whether at
home, outside the home or working place. Few crimes against ladies particularly rape cases
were terribly dread and fearful. Most of the women of various ages, till this day are being
subjected to violence, domestic abuse, and rape. As ladies ought to travel late night
generally, it’s necessary to remain alert and safe. Although the government is taking
necessary measures for their safety, still, there are free safety apps for women that can help
them to stay safe. Most of the femalesthese days carry their smartphone with them, so it is
necessary to have at least one the personal safety appsinstalled. Such a security appfor
ladies will definitely facilitate in a way or the opposite. This is user-friendly application that
can be accessed by anyone who has installed it in their smart phones. Our intention is to
provide you with fastest and simplest way to contact your nearest help. In this system user
needs to feed three contact numbers, in case of emergency on moving the phone up and down
thrice, the system sends SMS and calls on one of the numbers feeded into the system with the
location. The phone starts vibrating and siren starts ringing. This features for both everyday
safety and real emergencies, making it an ultimate tool for all.

KEYWORDS
Womens safety, gps, fingerprint scans.

1. INTRODUCTION
This Womens safety is a very important issue due to rising crimes against women these days. To
help resolve this issue we propose a gps based womens safety system that has dual security
feature. This device consists of a system that ensures dual alerts in case a woman is harassed or
she thinks she is in trouble. This system can be turned on by a woman in case she even thinks she
would be in trouble. It is useful because once an incident occurs with a woman she may or may
not get the chance to press the emergency button. In a button press alerting system, in case a
woman is hit on the head frombehind, she may never get the chance to press panic button and no
one will know she is in trouble. Our system solves this problem. This device is to be turned on in
advance by a woman in case she is walking on a lonely road or some dark alley or any remote
area. Only the woman authenticated to the devices can start the system by fingerprint scan. Once

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pp. 121-127, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100214
122 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

started the devices requires the woman to constantly scan her finger on the system every 1
minute, else the system now sends her location to the authorized personnel number through SMS
message as a security measure and also sounds a buzzer continuously so that nearby peoplemay
realize the situation. In this case even if someone hits the woman or the woman falls down and
get unconscious, she does not need to do anything, the system does not get her finger scan in 1
minute and it automatically starts the dual security feature. This device will prove to be very
useful in saving lives as well as preventing atrocities against women. The device uses GPS sensor
along with a gsmmodem,lcddisplay,leds and microcontroller based circuit to achieve this system.
To develop an adaptive system for the End-users that support the system support features. It
should be highly secured authentication system. It maintains privileges among set of users. The
emergency alert feature activates with the users command and the system is protected after the
alert process. Functionality will be transparent to end user and easy to use.It is useful because
once an incident occurs with a woman she may or may not get the chance to press the emergency
button. In a button press alerting system, in case a woman is hit on the head from behind, she
may never get the chance to press panic button and no one will know she is in trouble. Our
system solves this problem. This device is to be turned on in advance by a woman in case she is
walking on a lonely road or some dark alley or any remote area. Only the woman authenticated to
the devices can start the system by fingerprint scan.

The cases of harassment and rapes on women are increasing hence security issue for such woman
is more important. So, it is essential to develop a system to provide security to women. In this he
devised a system allows women to protect themselves from attackers. In recent days the attacks
on women are increasing and sometimes they are not even able to take their mobile and dial-up to
police, this system will help women in such situations to inform about attacks and also in giving
their exact location to a nearby police station for necessary action. In this, the author designed a
device, in that, by pressing the button of the device a message along with her location will be
transmitted by the system to the police station and her few relatives, so thatthey will get aware of
her current situation.He told that withthat message she is also for their defensive purpose they can
able togive a shockto the attacker it will be more helpful to women at that critical situation, this
system is designed as the defence equipment, it will them to attack the attacker. So, she has some
time to rescue herself from that attacker.

The second section discuss about the literature review and continued by problem statements. The
fourth section gives the experiments and results followed by the conclusion and future
enhancement.
.
2. PROBLEM STATEMENT
Architecture Diagram

The existing system Project of security application provides the user alert by calling manually in
the smartphones, the user cannot transmit the data of their location immediately and cannot
protect the devices as soon as possible.Now a days we don’t have like this facilities, In case any
emergency situations we should make calls to Police or official by themselves.So, this is hardest
things to do at that situations.

Traditional Education

Traditional education is also called customary education or conventional education. The main
motive of traditional education is to pass on the values, manners skills and the social practice to
the next generation which is necessary for their survival. In traditional education the student
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 123

learns about the customs and tradition of the society in which he lives. This type of education is
mostly imparted to the students by the means of oral recitation.

There is very less written work or practical work. The students simply sit down together and
listen to the teacher or another who will recite the lesson. The traditional does not include written
tests but it includes some oral tests which are not very formal. Traditional education is very far
from the use science and technology. Neither the education about sciences we study today in a
great detail is imparted in the traditional education system. Traditional education system basically
included the knowledge about customs, traditions, and religions. That is why it is called
traditional education.

E - Learning

E - Learning is learning utilizing electronic technologies to access educational curriculum outside

of a traditional classroom. In most cases, it refers to a course, program or degree delivered
completely online.

There are many terms used to describe learning that is delivered online, via the internet, ranging
from Distance Education, to computerized electronic learning, online learning, internet learning
and many others. We define eLearning as courses that are specifically delivered via the internet
to somewhere other than the classroom where the professor is teaching. It is not a course
delivered via a DVD or CD-ROM, video tape or over a television channel. It is interactive in that
you can also communicate with your teachers, professors or other students in your class.
Sometimes it is delivered live, where you can “electronically” raise your hand and interact in real
time and sometimes it is a lecture that has been prerecorded. There is always a teacher or
professor interacting or communicating with you and grading your participation, your
assignments and your tests .

Figure : 1 Architecture Diagram

124 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

3. EXPERIMENTS AND RESULTS

Modules

The project “Women Safety Mobile App” consists 3 modules for optimizing education system.

1) User app module

2) Guardian app module
3) Server module

User app module

 Initially the women security app needs to be installed in the mobile.

 Then user should enroll her ID, Name, Phone number.
 And then click on register button.
 Then it display registered successfully.
 If that mobile number is already registered it will display this number is already
registered.

Guardian app module

 Initially the guardian app needs to be installed in the mobile.

 Guardian should enroll their phone numbers.
 And click on register button.
 Then it display registered successfully.
 If that mobile number is already registered it will display this number isalready
registered.

Server module

 After installation of guardian app and victim app two tables are created in server model.
 Two tables are victim table and guardian table.
 Victim table contains five columns VID, VNAME, PHONE -NUMBER, LATITUDE,
and LONGITUDE.
 Guardian table contains three columns PHONE NUMBER, LATITUDE, LONGITUDE.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 125

Output Screen

Figure : 2 Home Screen

Figure : 3 Women Safety App

Figure : 4 Login Page

126 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure : 5 Menu Page

PERFORMANCE ANALYSIS
The existing and proposed systems are analyzed. The problems can be easily rectified with this
concept. Nearly 70% of the performance has been increased.

4. CONCLUSION
Women can be powerful actors for peace, security, and prosperity. When they participate in
peace processes and other formal decision-making processes, they can play an important role in
initiating and inspiring progress on human rights, justice, national reconciliation and economic
revitalization.

5. FUTURE ENHANCEMENT
In this Women Safety android application we can easy to handle any crime situations. Whenever
a women in trouble they can simply move phone up and down thrice, then it will make call or
SMS to pre-defined police or family mobile phone numbers. So, using this advanced technology
we can prevent any kind of crimes especially for women’s and child.

REFERENCES

[1] Design and Implementation of Women Safety System Using Mobile Application in Real-Time
Environment S. Juhitha1 , M. Pavithra2 , E. Archana3 1,2Student, Department of Computer Science
& Engineering, Panimalar Institute of Technology, Chennai, India 3Assistant Professor, Department
of Computer Science & Engineering, Panimalar Institute of Technology, Chennai, India
[2] ABHAYA: AN ANDROID APP FOR THE SAFETY OF WOMEN Ravi Sekhar Yarrabothu
Department of ECE Vignan’s University Vadlamudi, Gunture, India yrs_ece@vignanuniversity.org
Bramarambika Thota Department of ECE Vignan’s University Vadlamudi, Guntur, India
ambika.thota92@gmail.com.
[3] An Android Based Application for Women Security Prof. Sankalp Mehta1 , Sachin Janawade 2 ,
Vinayak Kittur3 , Suraj Munnole 4 , Sandhya Basannavar5 Assistant professor1 , Student2, 3, 4, 5
Department of Computer Science and Engineering K. L. E. College of Engineering and Technology,
Chikodi, Karnataka, India.
[4] World Health Organization, Global and Regional Estimates of Violence against Women,
http://apps/who/int/iris/bitstream/10665/85239/1/9789241564625 eng.pdf, p. 2.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 127

[5] National Crime Records Bureau (Ministry of Home Affairs), “Crime in India 2012 Statistics,”
Government of India Press, June 2013
[6] Dhruv Chand, M.; Sankaranarayanan, S.; Sharma, C., “Project Jagriti: Crowdsourced child abuse
reporting,” Global Humanitarian Technology Conference (GHTC), 2014 IEEE , vol., no., pp.609,613,
10-13 Oct. 2014 doi: 10.1109/GHTC.2014.6970346
[7] Jou-Chih Chang; Pi-Shih Wang; Kang-Hsuan Fan; Shih-Rong Yang; De-Yuan Su; Min-Shiung Lin;
Min-Te Sun; Yu-Chee Tseng, “iMace: Protecting Females from Sexual and Violent Offenders in a
Community via Smartphones,” Parallel Processing Workshops (ICPPW), 2011 40th International
Conference on , vol., no., pp.71,74, 13-16 Sept. 2011 doi: 10.1109/ICPPW.2011.57
[8] VithU: V Gumrah Initiative on the Google Play Store:
https://play.google.com/store/apps/details?id=com.startv.gumrah. Accessed 2015-06-01. [6]
Nirbhaya: Be Fearless: http://www.nirbhaya.mobi. Accessed 2015-06-01.
[9] International Labour Organization, 2012, “ILO Global Estimate of Forced Labour: Results and
Methodology,” p. 14, Geneva. [8] F. Vanderschueren, 2000, “The Prevention of Urban Crime.” Paper
presented at the Africities 2000 Summit, Windhoek, Namibia. Cited in UN-HABITAT, 2006, State of
the Worlds Cities 2006/2007, p. 144, Nairobi.
[10] Directorate-General for Employment, Industrial Relations and Social Affairs, 1998, “Sexual
harassment at the workplace in the European Union,” p. iii, Brussels, European Commission. Cited in
UN General Assembly, 2006, “In-depth Study on All Forms of Violence against Women: Report of
the Secretary-General,” A/61/122/Add.1, p. 42, New York.

AUTHORS

Mr.N. Ramesh Kannan doing final year MCA in Francis Xavier Engineering
College

Mrs. Sujitha working as Assistant Professor in the Department of Computer

Applications, Francis Xavier Engineering College. Her area of interest is Wireless
Sensor networks

Mr.S.Ganapathy Subramanian doing first year MCA in Francis Xavier

Engineering College
128 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

FX MEDIA(CAMPUS SOCIAL MEDIA)

Robin1 and Sahaya Jenitha2 and Santhosh3
1
Department of Computer Applications, Francis Xavier Engineering College
2
AP, Department of Computer Applications, Francis Xavier Engineering
College
3
Department of Computer Applications, Francis Xavier Engineering College

ABSTRACT
In recent years, social networking system has become one of the most popular Internet
applications and has a large number of users. Although the public social networking systems
have meet the interpersonal communication demand of people, there is inadequate support
for the closely combination of user’s learning, working and cultural life on campus with their
real activity. Therefore, the paper design and realized a new campus social networking
system for users, which is tightly integrated with the reality environment of campus and
users’ real activity. It will not only achieve the basic communication function but also
provide a unified platform for the teaching, researching, management and many other
aspects of cultural life to teachers and students in campus. It is also an effective support for
the information construction of university.

KEYWORDS
Web 2.0, BBS.

1. INTRODUCTION
With the wide and rapid popularity of “Face book” and “Instagram”, social network (also known
as social networking system or social networking service) has become one of the most popular
Internet applications in recent years, and is considered to be another revolution of Internet after
search engine and Web2.0 . Different with traditional BBS stations and Blog, social network no
longer use anonymous way to manage users, but stressed the real-name system and establishment
of network connection corresponded with the real social relationships between people. It not only
emphasized the content created by users, but also highlight the spread of these content through
real social relationships with the corresponding network links, in order to reduce the cost of user
access to information and improve the effectiveness of information dissemination.

2. LITERATURE SURVEY
Social Networks Analysis, Management and Security (SNAMS-2019)

Social network analysis is concerned with the study of relationships between social entities. The
recent advances in internet technologies and social media sites, such as Facebook, Twitter and
LinkedIn, have created outstanding opportunities for individuals to connect, communicate or
comment on issues or events of their interests. Social networks are dynamic and evolving in
nature; they also involve a huge number of users. Frequently, the information related to a certain

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130 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

concept is distributed among several servers. This brings numerous challenges to researchers,
particularity in the data mining and machine learning fields. The purpose of International
Conference on Social Networks Analysis, Management and Security (SNAMS-2019) is to
provide a forum for researchers to present and discuss their work which is related to social
network analysis

Impact of Social Media on Society in a Large and Specific to Teenagers

E-learning has been for more than around for ten years. It is probably the learning object that is
assumed to be the learning content today. Commencing from computer-based delivery systems
world, learning objects were idolized as Lego blocks or atoms. E-learning can be assumed as a
part of lecture room or not that totally depends upon its implementation. It can be designated to
as self-paced, non-synchronous training or can be drove by an instructor or can be renamed as
concurrent learning. Distance learning is best matched to E-learning and also adjustable training,
but can also be utilized with confronting teaching, where the terminology commonly used is
blended learning. This type of blended learning in today's world is kind of static learning where
the student are presented with static content irrespective of their capability to grasp the
knowledge they are being provided. Therefore, there is need for a type of system that can adapt to
the student's capability and would then provide knowledge by adapting to student's pace. To
realize this sort of system, we would be building a system of career counselling system wherein
the student would be presented a set of questions that would be based on their previous answers
thus adapting to the student capability. Our system would take into consideration various factors
before presenting questions to the candidate. Also, keeping in track the students previous history
which also is of utmost importance, the final result that would be displayed to the student would
take into consideration the historical factors of the students as well.

Jinye Peng , Noboru Babaguchi , angzai Luo , Yuli Gao[2009]- Building web
application in college

Social media is a technology that can be developed in a fast and flexible manner, where internet
connections are transformed into interactive platforms. Social networking programs are
increasingly spreading around the world. Facebook users reached 1.44 billion per month in 2015,
which means that most of the people of the world have a stamp on social networking
platforms.Social media platforms have become integral part of teens’daily life. 22% of teenagers
are enrolled in social networking programs about 10 times a day. The remaining category, which
makes up more than half of teenagers register more than once a day through the use of mobile
phone, where the proportion of teenagers who have their own cell phones reach 75%.The results
show by RSA that the rate of cybercrime reached 173% by mobile phones during the period
2013-2015.

YasunoriShiono , TakaakiGoto , TetsuroNishino[2009] – Development of social

media System

Some areas in Asian have no medical facilities and proper mental health care is unavailable.
Therefore, online counselling systems are needed. We have been studying and putting into
practice online counselling for people assigned overseas. We constructed a system using agile
software development for those assigned overseas in Asia. The first step involved developing a
prototype system based on system requirements after we repeatedly discussed system
development with people in charge of a clinic. Next, we conducted interviews about the online
counselling system. We also discussed and analyzed the interviews. Finally, we completed the
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 131

online Web counselling system by repeatedly discussing possible improvements with the clinic
and then incorporating the changes in the system. We report on the construction of the system.

Cui Li-xia , Liu Ya-nan , Lei Li , Tan Sheng[2010]- Relationship variables in

online versus face-to-face media

The study examined relational variables in face-to-face versus online counselling to explore how
initial relationships between a counsellor and a client differed from face-to-face and online
communication. The participants were 42 undergraduates who acted to come to Students
Counselling center for help for the first time. Five graduates of clinical psychology acted as their
counsellors. The counsellors of the two groups were same. We have been studying and putting
into practice online counselling for people assigned overseas. We constructed a system using
agile software development for those assigned overseas in Asia. The first step involved
developing a prototype system based on system requirements after we repeatedly discussed
system development with people in charge of a clinic. Social media is a technology that can be
developed in a fast and flexible manner, where internet connections are transformed into
interactive platforms. Social networking programs are increasingly spreading around the world.
Facebook users reached 1.44 billion per month in 2015, which means that most of the people of
the world have a stamp on social networking platforms.Social media platforms have become
integral part of teens’ daily life.

3. PROBLEM STATEMENT
Architecture Diagram

Figure 1: Architecture diagram

132 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

4. OUTPUT STREAM

Figure 2: Login page

Figure 3: Sign up page

International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 133

Figure 4: Home page

Figure 5: Ad in FX Media
134 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure 6: Chat box

Figure 7:Gallery in FX Media

 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 135

5. CONCLUSION
Social networks are becoming more and more popular. More than 80% of the 4.66 billion people
on the planet with access to the internet are social network users and this share is expected to
grow he world is changing so fast that the urgent question is what will happen next? Will the life
completely move into a virtual reality. What to expect from social media users and advertisers in
2021 and further. Today, social platforms are selling not just brand coverage, engagement, and
visibility, but also very concrete indicators of direct sales.

6. FUTURE ENHANCEMENT
 The campus social network which adopt firebase and react JS provides real time data
assessment. But also provide uniform platform for the teaching researching, management
and many other cultural aspects life of teachers and students in campus.
 In addition it is an effective support for the information construction of university.
FxMedia has offered a new platform for peer pressure with both positive and negative
communication.
 But in this FxMedia the negative communication has been blocked and has been enveloped
by the firewall. The hole screen shared with other users.

REFERENCES

[1] [1] A Critical Analysis of Privacy and Security on Social Media -Guoying Wang ,Wei
Zhou,Yunsheng Zhang-2015
[2] Impact of Social Media on Society in a Large and Specific to Teenagers-Kazi Fakir Mohammed ,
SushoptiGawade , Vinit Nimkar- 2017
[3] Social Networks Analysis, Management and Security (SNAMS-2019)
[4] Yasunori Shiono , TakaakiGoto , TetsuroNishino[2009] – Development of campus website
application
[5] Cui Li-xia , Liu Ya-nan , Lei Li , Tan Sheng[2010]- Relationship variables in online versus face-to-
face media.
136 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

AUTHORS

G. Robin doing Final Year MCA in Francis Xavier Engineering College

Mrs. P. Sahaya Jenitha working as Assistant Professor in the Department of

Computer Applications, Francis Xavier Engineering College. Her area of interest
is Wireless Sensor Networks

T. Santhosh doing first year MCA in Francis Xavier Engineering College

 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

FX EVENT ORGANIZATION
1
Muthu Krishnan.S and 2 Angelin Ranjithamani.D 3 Deepa.C
1
Department of Computer Application, Francis Xavier Engineering College.
2
HOD,Department of Computer Application, Francis Xavier Engineering
College.
3
Department of Computer Application, Francis Xavier Engineering College.

ABSTRACT
Online event management system is an online event management system software project
that serves the functionality of an event manager. The system allows registered user login
and new users are allowed to register on the application. The system helps in the
management of events, users and the aspects related to them. This proposed to be a web
application. The project provides most of the basic functionality required for an event type
e.g. [technical,Non-technical events,etc]. College students are advanced in thinking, who are
senior and specialized professionals trained by the nation. They have independent thinking
skills, and often have unique views and opinions on events. In this paper, an index is
constructed to solve the difficulty of monitoring the ideological dynamics of college students,
since the ideological dynamics of college students is difficulty to be captured. In particular, a
visualization management information system is developed to monitor the ideological
dynamics of college students based on big data. This system is based on the B/S architecture,
which uses the SQL Server database. This system realizes the functions of index
modification, document entry, word segmentation statistics, index correlation, keyword
search, index analysis, document analysis.

KEYWORDS
Events and Registration.

1. INTRODUCTION
Event management is Traditional education is defined as teacher-centered delivery of instruction
to classes of students who are the receivers of information. Traditional institutions generally
stress basic educational practices and expect mastery of academic learning in the core subjects.
Most organizations generally follow this educational model[8]. On the other hand, an online
educational or e-learning service is a website, which teaches and helps students improve in
certain subjects[5]. These are normally, used by institutes to let students learn from home and
complete online homework.

Traditional education is not necessarily the most effective way of learning, because no student
can pay full of attention to the class lectures, and it cannot be possible for a student to attend the
class regularly. So due to many reasons such as lack of concentration, absent to the class ,wrong
understanding of the concept,etc.,the education system may face a poor outcome.Another factor
is that,a lecture rmay not handle an efficient teaching methodology. E-learning as a method of
education makes the learners undergo contemplation, remoteness, as well as lack of interaction
or relation. It therefore requires a very strong inspiration as well as skills with to the management

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 137-144, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100216
138 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

of time in order to reduce such effects. With respect to clarifications, offer of explanations, as
well as interpretations, the e-learning method might be less effective that the traditional method
of learning. The learning process is much easier with the use of the face to face encounter with
the instructors or teachers[2].

Both traditional and e-learning system has its own advantages and disadvantages. In order to
overcome the disadvantages, the project propose an idea of converting the education system into
active learning education, by sharing the videos of class lectures through online. This method
will deliver the benefits of both traditional and e-learning system and makes the education more
efficient.

2. PROBLEM STATEMENT
The Online Event System in JSP has become a fast growing event method because of its speed
and accuracy. It also needed less manpower to execute the event. Almost all organizations now-
a-days, are conducting their objective events by online event system.

Online event systems save the events information in a database Staff can add/delete events

Figure: 1 Architecture Diagram

3. EXPERIMENT AND RESULTS

Admin

Online Event System is a web based application to conduct events online. In these modules we
can add program schedules and store data.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 139

Conduct Event

In this module the institution can add programs. They can also set time for each event according
to the schedule allocation. They can add any type of events like technical events, non-technical
events.

Add or Delete Events

Events can be added or deleted only by the admin.

Database Collections

User requirements are inserted on the database and it will be retrieved by the event management
system .When the student finishes their work, they will update the requirements via pictures
which were taken by them. User requirements are inserted on database and it will be retrieved by
admin and student module. The all records will be stored in the database.

About Project

This project consists of two main modules Admin and Student. In the Admin module we have the
login page which is used to login for their Admin and if new users can register themselves and
then login. The Admin can add their own students with their category. They can also add events
for particular technical events. The questions can be randomly given to the students by selecting
randomizer on. .

While login as a student the student can take the events posted by their Admin.

Output Screen

Figure: 1 DashBoard
140 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure: 2 Register and Login Page

Figure: 3 Choose Requirements link

International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 141

Figure: 4 Upload File

Figure: 5 Club Register

Figure:6 User Revocation

142 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure:7 Faculty File Upload

Figure:8 MySql Data Server

PERFORMANCE ANALYSIS

The existing and proposed systems are analyzed. The problems can be easily rectified with this
concept. Nearly 70% of the performance has been increased.

4. CONCLUSION
We have prepared a new system after identifying issues in the existing manual system.
Participant students can view and register for events online. The record maintenance use of
previous records becomes easy and to join the event. Thus we will implement a College Event
Organizer system to address the problem faced by event organizers with respect to
communication and working methods.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 143

5. FUTURE ENHANCEMENT
We would like to propose two different works: First we would like to see improvement of the
platform to look more interactive with motivate the user and engage to join the club activities.
Second we would like to add interactive and gaming club activity, to engage the user in the event
.To join the club in more interact to in gaming features will be added. The future security issues,
security can be improved using emerging technologies.

REFERENCES

1) Manuel Mazzara, Luca Biselli, Pier Paolo Greco, Nicola Dragoni, Antonio Marraffa, Nafees Qamar,
and Simona de Nicola. Social networks and collective intelligence: a return to the agora. IGI Global,
2013.
2) Andrei Lebedev, JooYoung Lee, V´ıctor Rivera, and Manuel Mazzara. Link prediction using top-k
shortest distances. In Data Analytics - 31st British International Conference on Databases, BICOD
2017, London, UK, July 10-12, 2017, Proceedings, pages 101–105, 2017.
3) Liu Qingzao. Practical Management of Sport Events. People’s Education Press, 2006(in Chinese)
4) IOC Manual for candidate cities for the games of the XXIX Olympiad 2008[Z]. Lausanne:
International Olympic Committee, 2000

5) Glenn Bowdin, Johnny Allen, William O´Toole, Rob Harris, Ian McDonnell, Events Management,
Routledge London and New York 2011.

6) Oliver Thomas, Bettina Hermes, Peter Loos, “Reference modelbased event management,”
International Journal of Event Management Research, Volume 4, Number 1, 2008.

7) Xu Chunjiao, Chu Dianhui, Li Chunshan, “City Event Management System Based on Multiple Data
Source", International Conference on Service Science (ICSS), 2015.

8) Masayuki Otani, Toru Ishida, Yohei Murakami, Takao Nakaguchi,"Event management for
simultaneous actions in the Internet of Things", IEEE 3rd World Forum on Internet of Things (WF-
IoT), 2016.
144 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

AUTHORS
Mr.S.Muthu Krishnan doing final year MCA in Francis Xavier Engineering
College.

Mrs. D. Angeline Ranjithamani is working as Assistant Professor and HOD in

the Department of Computer Applications, Francis Xavier Engineering College.
She is having teaching experience of 12+ years. Her area of interest is Wireless
Sensor networks.

Ms.C.Deepa doing first year MCA in Francis Xavier Engineering College.

 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

SCAD GEO SPATIAL WEB SOLUTION

Roshini1 and Angelin Ranjithamani2 Deepa3
1
Department of Computer Application, Francis Xavier Engineering College.
2
HOD,Department of Computer Application, Francis Xavier Engineering
College.
3
Department of Computer Application, Francis Xavier Engineering College.

ABSTRACT
Local bodies like municipalities need collect different kind of taxes from the citizens. Every
citizen need to pay Water Bills and Electricity Bills to the particular authorities. Actually a
citizen want to pay his municipal tax means he should go to municipal office and collect the
necessary bill, pay there only. Same as water and electricity bills. This is not an easy job
to get all these tax information in different authorities now days. For that purpose we are
developing this application, which can collect the tax information from different authorities
based on the house no’s and owner name by using web services and stores the data in our
own database. For getting the information regarding taxes citizens need to register first.
The bill are calculating on different modes like annual, half yearly, quarterly etc... By using
the user id and password citizens can log into the system and collect the necessary
information from the home page. For this every user need to provide his house no and
owner name. By clicking on the search button they will get their own. The smart city is
equipped with the electronic circuitry where the weight of the garbage in the bin is measured
and the value is updated in the database. The database of the families will be created and
maintained by the municipality. A web portal gives the involved people and authorities
access to the related information. A house is penalized for every kilogram more than the
allotted garbage weight limit. Further enhancements are explored. Thus, the residents are
incentivized to produce lesser waste.

KEYWORDS
Payments, Tax and Bills

1. INTRODUCTION
Local bodies like municipalities need collect different kind of taxes from the citizens. Every
citizen need to pay Water Bills and Electricity Bills to the particular authorities. Actually a
citizen want to pay his municipal tax means he should go to municipal office and collect the
necessary bill, pay there only. Same as water and electricity bills. This is not an easy job to get
all these tax information in different authorities now days.

For that reason we are building up this application, which can gather the assessment data from
various specialists in light of the house no’s and proprietor name by utilizing Web Services and
stores the information in our own database. Forgetting the data with respect to charges natives
need to enroll first. The bill is ascertaining on various modes like yearly, half-yearly, quarterly
and so on.

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 145-155, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100217
146 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

By utilizing the client id and secret key nationals can sign into the framework and gather the
important data from the landing page. Supply of drinking water, Providing and keeping up waste
and sewage frameworks, Public road lighting , Maintaining sanitation and cleanliness of open
spots , Providing Electricity Connection to national houses , Providing Water Connection to
houses , Municipal Maintenance.

For that purpose we are developing this application, which can collect the tax information from
different authorities based on the house no’s and owner name by using web services and stores
the data in our own database. For getting the information regarding taxes citizens need to register
first. The bill are calculating on different modes like annual, half yearly, quarterly etc…

2. PROBLEM STATEMENT

The current framework is the manual framework. Here the representatives need to spare the data
as exceed expectations sheets or Disk Drives. There is no sharing is conceivable if the
information is as paper or Disk drives. Looking for specific data is exceptionally basic it requires
the parcel of investment. Social occasion data from various sources isn’t a simple occupation,
information will be botched. Ascertaining distinctive bills physically going to be as a procedure
of error. There is no interface to give different bills in the current framework. In the current
framework native get the bill’s data physically, in different specialists like water board, power
office, property impose division and so on.

The improvement of this new framework contains the accompanying exercises, which endeavor
to mechanize the whole procedure keeping in the perspective of database joining approach. There
no weight of figuring water, electric, house impose charges in this framework, by sending a
demand to the specific expert by means of web benefit we can get all the data with respect to
these issues. The organization is the primary individual of this framework. He can have every one
of the benefits to do anything in this framework. An administrator can get the data with respect to
national’s water charges, electric bills, and city charges from different sources. For that chairman
need to send a demand for that specific specialist toss web administrations.

Figure: 1 Architecture Diagram

 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 147

3. EXPERIMENT AND RESULTS

3.1 Administration

Administration is the main person of this system. He can have all the privileges to do anything in
this system. Admin can get the information regarding citizen’s water bills, electric bills, and
municipal taxes from various sources. For that administrator need to send a request for that
particular authority throw web services.

3.2 Citizen Bill Information

The system interface is going to show the Bill information of different authorities. The bills
mainly going to these types ,Water Bills , Electricity Bills , Property Taxes These interface also
shows the, Pending Bills, Penalties, Due Dates.

3.3 Search

By using the user id and password citizens can log into the system and collect the necessary
information from the home page. For this every user need to provide his house no and owner
name. By clicking on the search button they will get their own.
 House Members Details
 Electricity Bill Details
 Water Bill Details
 Pending Bills
 Dues Dates

3.4 Reports

The problem can be reported in the pages. For Example,

 Supply of Drinking Water.
 Providing Water connection to houses.
 Sending water bills to houses.
 Public Street Lighting.
 Maintaining sanitation and hygiene of public places.

3.5 Database Collections

The administrative user interface concentrates on the consistent information that is practically,
part of the organizational activities and which needs proper authentication for the data collection.
The interfaces help the administrations with all the transactional states like Data insertion, Data
deletion and Data updating along with the extensive data search capabilities.The operational or
generic user interface helps the users upon the system in transactions through the existing data
and required services. The operational user interface also helps the ordinary users in managing
their own information helps the ordinary users in managing their own information in a
customized manner as per the assisted flexibilities
148 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

3.6 About Project

The major inputs and outputs and major functions of the system are follows:

Admin enter his user id and password for login. User enters his user id and password for login.
Admin enter user id or date for track the user login information New users give his completed
personnel, address and phone details for registration. Admin gives different kind of user
information for search the user data. User gives his user id, hint question, answer for getting the
forgotten password. User request for Municipal Bill. Admin can have his own home page.

Users enter their own home page. The user defined data can store in the centralized database.
Admin will get the login information of a particular user. The new user’s data will be stored in
the centralized database. Admin get the search details of different criteria. User can get his forgot
password. User can get the Bill Details.

Output Screen

Figure: 1 Home Page

Figure: 2 Login Page

International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 149

Figure: 3 Registration Page

Figure: 4 House Member Details

Figure: 5 Bill Payment

150 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure: 6 Paid Bills

Figure: 7 Report Complaints

Figure: 8 Report Complaints

International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 151

Figure: 9 Admin Login Page

Figure: 10 Citizen’s Details

Figure: 11 Bills
152 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure: 12 Bending Bills

Figure: 13 Paid Bills

Figure: 14 Complaint Actions

 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 153

Figure: 15 Solved Complaints

PERFORMANCE ANALYSIS

The existing and proposed systems are analyzed. The problems can be easily rectified with this
concept. Nearly 70% of the performance has been increased.

4. CONCLUSION
It has been a great pleasure for me to work on this exciting and challenging project. This project
proved good for me as it provided practical knowledge of not only programming in ASP.NET
andC#.NET web based application and no some extent Windows. It also provides knowledge
about the latest technology used in developing web enabled application and client server
technology that will be great demand in future. This will provide better opportunities and
guidance in future in developing projects independently.

5. FUTURE ENHANCEMENT
This System being web-based and an undertaking of Cyber Security Division, needs to be
thoroughly tested to find out any security gaps. A console for the data centre may be made
available to allow the personnel to monitor on the sites which were cleared for hosting during a
particular period. Moreover, it is just a beginning; further the system may be utilized in various
other types of auditing operation viz. Network auditing or similar process/workflow based
applications.

REFERENCES

[1] PimpriChinchwad Municipal Corporation, "SMS and Web-Based Complaint Monitoring System,"
Viewed
Jul.2012;http://www.asci.org.in/ICT/Resources/CaseStudies/CITIZENCENTRIC/32SMS%20&%20
Web%20based%20Complaint%20Monitoring%20System%20Pimpri%20Chinchwad.PDF

[2] e-scrap news, Special Report, Feb. 2004.

[3] The National Safety Council, "Electronic Product Recovery and Recycling Baseline Report:
Recycling of Selected Electronic Products in the United States," 1999.
154 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

[4] Communications with Goodwill Industries of Central Texas, 2004 and 2005.

[5] S. Kucuk, F. Arslan, M. Bayrak, G. Contreras, Load management of industrial facilities electrical
system using intelligent supervision, control and monitoring systems, in: International Symposium on
Networks, Computers and Communications (ISNCC), 2016.

[6] Afify, E., Hegazy, A., & El-Sayed, M., (2011). "A Model For Customer Complaint Management
System using SOA. ", In Proceedings of the 15th WSEAS International Conference on Computers,
World Scientific and Engineering Academy and Society (WSEAS), 291-296.

[7] Liu, L.; Li, B.; Zlatanova, S.; Liu, H. The Path from Bim to a 3d Indoor Framework—A Requirement
Analysis. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2018, XLII–4, 373–378.

[8] Sirdeshmukh, N.; Verbree, E.; Oosterom, P.V.; Psomadaki, S.; Kodde, M. Utilizing a Discrete Global
Grid System for Handling Point Clouds with Varying Locations, Times, and Levels of Detail.
Cartographica: Int. J. Geogr. Inf. Geovis. 2019, 54, 4–15.
[9] Breunig, M.; Kuper, P.V.; Butwilowski, E.; Thomsen, A.; Jahn, M.; Dittrich, A.; Al-Doori, M.;
Golovko, D.; Menninghaus, M. The story of DB4GeO—A service-based geo-database architecture to
support multi-dimensional data analysis and visualization. ISPRS J. Photogramm. Remote Sens.
2016, 117, 187–205.

[10] Kuper, P.V. Efficient and Practical Handling of Spatio-Temporal Data Based on Time-Dependent Net
Components. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2018, XLII–4, 321–327.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 155

AUTHORS
Ms.A.Roshini doing final year MCA in Francis Xavier Engineering College.

Mrs. D. Angeline Ranjithamani is working as Assistant Professor and HOD in the

Department of Computer Applications, Francis Xavier Engineering College. She is
having teaching experience of 12+ years. Her area of interest is Wireless Sensor
networks.

Ms.C.Deepa doing first year MCA in Francis Xavier Engineering College.

156 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

ONLINE ELECTRICAL GOODS AND CREW

S.PaulPushpa1 and D.AngelineRanjithamani2 S.Sowmiya3
1
Department of Computer Application, Francis Xavier Engineering College
2
AP,Department of Computer Application, Francis Xavier Engineering
College
3
Department of Computer Application, Francis Xavier Engineering College

ABSTRACT
The Online Shopping is a web based application intended for online retailers. The main
objective of this application is to make it interactive and its ease of use. Electronic
Commerce is process of doing business through computer networks. A person sitting on his
chair in front of a computer can access all the facilities of the Internet to buy or sell the
products. Unlike traditional commerce that is carried out physically with effort of a person
to go & get products, ecommerce has made it easier for human to reduce physical work and
to save time. It Provide full electrical work for home and shops etc... We are full
responsibility for the work and the website was also include employee allocation details for
admin only. In today’s fast-changing business environment, it’s extremely important to be
able to respond to client needs in the most effective and timely manner. If their customers
wish to see our business online and have instant access to your products or services. Using
asp .net for creating this website , Developing Language is C#, Designing languages are
CSS and Html. These include multi-tiered architecture, server and client side scripting
techniques, implementation technologies such as ASP.NET, programming language (such as
C#) and relational databases. The search engine provides an easy and convenient way to
search for products where a user can Search for a product interactively and the search
engine would refine the products available based on the user’s input.

KEYWORDS
Payment, Product, database

1. INTRODUCTION
Ecommerce business drives profitable growth with reduction is cost-to-customer, developing
customer-reach, and providing a unique customer experience. It has become more than essential
for B2B as well as other businesses to make the right use of ecommerce. Now, ecommerce is
evolving or better say evolved into digital commerce that implies to the entire business journey
from buying to delivery with an online experience. This website was developed for my brother.
If that was having a admin page and customer page. Main objective of this project.

 Reduce management costs

 Developing business relation
 Providing a unique customer experience
 Increasing the number of loyal customers
 Increasing sales

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 157-168, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100218
158 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

The second section discuss about the literature review and continued by problem statements. The
fourth section gives the feasibility study, experiments and results followed by the conclusion and
future enhancement.

2. LITERATURE SURVEY
The said research paper involves a study of the impact of Electronic Commerce on Business. The
research study has highlighted the Management Information Systems, Finance and Accounting,
Marketing and Computer Sciences of E-Commerce on Business. E-commerce is a way of
conducting business over the Internet.

Zhiqiang Zhu: Compared with the huge demand of work forces in Chinese e-business, it is not
optimistic about the career opportunity for graduates with e-commerce major at national level.
The e-commerce employment rate is much lower than other business major averagely. Aiming at
accelerating the reform of higher education system in e-commerce academic program, this paper
presents a study on the knowledge structure of talents in applied e-commerce with vocational
skills. Such study provides a scientific insight into the future curriculum development and
pedagogy of e-commerce higher education.Zhu Lei:—The paper conducts a domestic E-
Commerce research topics evolution statistical analysis based on 139 E-Commerce related
literature published in 12 different core journals during 2006 to 2010 and explores the evolution
process of E-Commerce research topics through perspectives of year distribution, author
distribution, source journals distribution, keywords distribution and research topics distribution.
This paper also concludes the following three main aspects: 1.the amount of E-Commerce related
literature is decreasing year by year during 2006 to 2010; 2. there are steady research journals and
researchers in ecommerce; 3. E-Commerce research is relatively concentrated.Liu Jinhua:with the
rapid development of Electronic Commerce, the society requires an increasing number of
Electronic Commerce talents. The main task of higher vocational education is to provide for the
society all sorts of talents with high application skills as soon as possible and serve the
development of social economy. This paper analyzes the status of e-commerce professional
training in higher vocational colleges, and proposes ideas and solutions for the lack of Electronic
Commerce curriculum, provides help for the training of e-commerce applied talents. XuHao :
Now the B2B E-business websites compete fiercely, and a website s visiting quantity becomes an
important factor for improving its profit. Information, design, assurance and communication are
four dimensions of ecommerce website success model. This paper provides the empirical test of
an adaptation of DeLone and McLean's IS success model in the context of e-commerce. We
examined the key characteristics of e-commerce website. Exploratory factor analysis and
confirmatory factor analysis are applied to data collected by questionnaire from 329 users of
ecommerce websites. Syed EmdadUllah: E-commerce in Bangladesh actually started in the year
of 1999 based in USA with some non-resident Bangladeshis. Our motto is to develop an enriched
ecommerce website in our country that should be largely accepted by the customers. The
database design is also discussed with an emphasis on its relational connectivity. People in the
developed world and a growing number of people in the developing world now use ecommerce
websites on a daily basis to make their everyday purchases. People in the developed world and a
growing number of people in the developing world now use ecommerce websites on a daily basis
to make their everyday purchases.Dan Zhao: This paper firstly defines the meaning of the
enterprise website credibility. Secondly, it divides the enterprise website credibility into three
parts: the website image credibility, the information content credibility and the business function
credibility. An enterprise website is defined as a website that can provide appropriate services by
computer technology, information technology, and network technology in order to establish a
good corporate image and make the outside world understand the enterprise. It does not simply
mean a group of web pages. BaljeetKaur: E-Commerce industry has experienced astounding
growth in recent years. For the successful implementation of a B2C E-business, it is necessary to
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 159

understand the trust issues associated with the online environment which holds the customer back
from shopping online. This paper proposes a model to discern the impact of trust factors
pertaining in Indian E-Commerce marketplace on the customers’ intention to purchase from an e-
store.

3. PROBLEM STATEMENT
Existing System

Many customer go for purchasing offline so as to examine the product and hold the possession of
the product just after payment for the product.The existing system was used to just order the
electrical things.Some places cannot allowed the door delivery.Payment was COD was cannot
available for many places.Most of the website was high price for every product. Example
website: eleczo.com , bestofelectrical. In this contemporary world customer’s loyalty depends
upon the consistent ability to deliver quality, value and satisfaction. Offline shopping has a sense
of immediacy. You get to posses the item you’ve purchased the very moment.To buy any
product user has to collect information about it either by visiting the shop or asking people which
is the better one.Then the admin also cannot maintain the records . Some details was missing.

Drawbacks

 Lack of personal community and connection

 Security. The biggest drawback of e-commerce is the issue of security.
 Lack of privacy. Many websites do not have high encryption for secure online
transaction or to protect online identity. Tax issue.
 Fear.
 Product suitability.
 Cultural obstacles.
 High Labour cost.
 Legal issues.

Proposed System

Idea was to create a separate page for the customer for wiring work.Some packages are there.
Admin only wasaddinga workers detail. The main assured for this company workers was
complete the full wiring work in correct time.The whole sale product was available.That website
was basically easy to communicate with the wireman.Our main dream of this website everyone
must get a lowest price items and wiring works.

Advantages

 Faster buying process

 Store and product listing creation
 Cost reduction
 Affordable advertising and marketing
 Flexibility for customers
 No reach limitations
 Product and price comparison
 Faster response to buyer/market demands
 Several payment modes
160 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Architecture Diagram

Figure 1:Architecture Diagram

4. EXPERIMENT AND RESULT

Module Description

The project “Online Electrical Goods and Grew” consists 5 modules for optimizing education
system.

1. Admin Page
2. All Categories
3. Packages
4. Payment
5. Registration
6. Mail send
7. About Us

Admin page

Login : The admin also have a separate user name and password. Worker register: Then the
Admin was also Add a Workers Details. Then that was also display for admin only. And also
display the registered workers and customer was display in admin page. Payment: That module
was display the customer Payment details. That details only view the admin. This module was
build to manage the user registration, user authentication, Admin interface, user login and
successful logout from the application. The user details are enrolled into the database with a
registration form. Login form interfaces with the user to get the username and password, and
authenticates the valid user.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 161

All Categories

This module will display all the types of electrical goods and their description. The images of the
electrical items will display the item description and the price of the product. That also includes
the search option. Then click the Add to cart option then that product was display in Add to Cart
Page. That selected product was display in add to cart page then make a payment.

Packages

This package module is used to display all the packages details of the electrical and employers
details. Inside this package module there are three packages. They are: 1.Premium Elite Package
2.Premium Package 3.Golden Package. The Premium Elite Package contains all the higher-end
products and the advanced technology electrical products will be awarded in it. The Premium
Package contains some of the higher-end products and some of the branded technology electrical
products. The Golden Package contains the second quality products and the count of the
employers is also low in it.

Payment

Online payment usually is the transaction that results in transfer of monetary funds from the
customer bank or credit card account to your bank account. The customer picks up an item and
pulls out their card. The merchant submits a transaction. The payment gateway securely sends
the transaction to the processor. The processor verifies and approves the transaction. The use
of e-payments cancels out the use of drafting checks, transmitting cash and invoices for both
businesses and customers.

Registration

Two registrations was there 1.Customer2.Worker.Enter the basic details of the people or worker.
That details was stored in database and get the details from database using customer login. Then
that was display in Admin Page. Registration only happens the first time you access the system. It
is a way to check your credentials. Every time after your initial registration, you will log on to the
system using the username and password you created.

Mail send

The admin was send a mail to the worker for sharing the working place and details. The from
email was default company mail id. To email id was workers email id. Update the details about
the work place and sending a products. A process sends an email to a user and another process
receives the email, by either sending a response to the sender, or writing it to a log in the console.

About Us

About Us module will display the company details which is known as when did the company
started. What are all the achievements for the company will achieve. The about us page is often a
reflection of the purpose and personality of the business and its owners or top employees. Finally,
the page can also incorporate contact or locational information. One way to view the
about us concept is as a text self-portrait or short autobiography created by a business.
162 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Output Screen

Figure 2: Home page

Figure 3: Admin login

International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 163

Figure 4: Admin page

Figure 5: Worker Registered by Admin

Figure 6: User Register

164 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure 7: Registered Customer

Figure 8: User Page

International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 165

Figure 9: All Categories

Figure 10: Bank transfer

166 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure 11: Database

PERFORMANCE ANALYSIS
The existing and proposed systems are analysed. The problems can be easily rectified with this
concept. Nearly 70% of the performance has been increased.

5. CONCLUSION
Technology has made significant progress over the years to provide consumers a better online
shopping experience and will continue to do so for years to come. With the rapid growth of
products and brands, people have speculated that online shopping will overtake in-
store shopping. E-Commerce applications that started in early 1970’s needs to be still developed
in terms of security and efficiency. Electrical goods and crew website to developed using asp.net
and SQL Server. This website provides a wiring works and electrical items lowest price. website
has been based on the electricians, customer and company. And it will resolve the crowd in the
offline shops. Some packages was Added in this Website for wiring works. Online shopping can
save time for both the buyer and retailer, reducing phone calls about availability, specifications,
hours of operation or other information easily found on company and product pages.

6. FUTURE ENHANCEMENT
The membership card for the website has been issued for the users who have been using this
website especially the electricians. An I'd card scheme has been introduced for the dealers for
their authorised dealership. The workers login has to be created for the workers who are all
selected for this website with a respective training. Email is send to the users who has been
purchased in the website with the verification process. Some of the promo code has been given
for the members in the website and the offer amount is based on, in according with the users
purchase. Maximum amount of offer is 50%.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 167

REFERENCES

[1] Electronic Commerce: A Study on Benefits and Challenges in an Emerging Economy By Abdul
Gaffar Khan Mawlana Bhashani Science and Technology University, Bangladesh.
[2] Study & Development of E-Commerce Website Aaftab Aalam1, Shivansh Mishra2, Satyam Sharma3,
Richa Gupta4 1,2,3Student, Dept. of Electronics and Communication Engineering, RKGIT Ghaziabad,
Uttar Pradesh, India.
[3] E-Commerce: An Overview of Adoption and Its Effectiv Implementation Maureen Semu Kabugumila
Department of Business and Entrepreneurship Studies National Institute of Transport Tanzania
[4] “THE IMPACT OF ELECTRONIC COMMERCE ON BUSINESS ORGANIZATION“ Rajneesh
Shahjee.
[5] C. Seemiller, and M. Grace, Generation Z Goes to College. San Fransico, CA. Jossey- Bass,2016.
[6] E-COMMERCE- BUSINESS- TECHNOLOGY- SOCIETY R.Tamilarasi 1 , Dr.N.Elamathi 2 1
Research Scholar, Trinity College for Women, Namakkal. TamilNadu, India 2 Assistant Professor,
Department of Computer Science, Trinity College for Women, Namakkal, TamilNadu, India
[7] Electronic Commerce Research, Editor-in-Chief J. Christopher Westland Publishing model Hybrid
(Transformative Journal).

WEBSITE REFERRED
1) www.ieeeexplore.ieee.org
2) www.scirbd.org
3) http://www.about-elearning.com/elearning-advantages-anddisadvantages.html
4) http://www.khanacademy.org.
5) https://en.wikipedia.org/wiki/History_of_education_in_the_Indian_subcontinent
168 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

AUTHORS

Ms. S. Paul Pushpa doing final year MCA in Francis Xavier

Engineering College

Mrs D. Angeline Ranjithamani is working as Assistant Professor and

HOD in the Department of Computer Applications, Francis Xavier
Engineering College. She is having teaching experience of 12+ years.
Her area of interest is Wireless Sensor networks

MS. S. Sowmiya doing first year MCA in Francis Xavier Engineering

College
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

E-CARDS DOWNLOAD
K Rabiyathul Basaria1 and S Sujitha2 K Nambi Natchiar3
1
Department of Computer Applications, Francis Xavier Engineering College
2
Department of Computer Applications, Francis Xavier Engineering College
3
Department of Computer Applications, Francis Xavier Engineering College

ABSTRACT
This “E-Card Downloading application” is to design and develop for well secured
dynamic application used for easy retrieval of necessary cards. Issued in the form of a
standardized application, which includes the details like Driving license, Voter Id, Ration
Card and Aadhar Card. Sometimes we come across the need of submitting or to show the
proof of hardware copy of cards at this time this e-card application which is an safest
application used for downloading cards of our necessary. This application also contains
OTP generation in which the otp is send to the registered mail id so that we can protect our
details from others.

KEYWORDS
Smart card, otp, verification,download

1. INTRODUCTION
The main objective of the web application is to download all the four cards in one web
application. In this web application user can download all these four cards Aadhar card, Driving
licence, Ration card and Voter id through unique identity number. User can also contact the
admin through chatbox for seeking help. card application is considered as an easy and safest
downloading methods of an cards. E-card application helps people to download regarding cards
of their own necessary. It also need less manpower to handle updating details of every citizens
of the country. The usage of smart card is very popular in the world. Some institutions use smart
card to support their business for example, identity card, stored digital money. This paper
proposed design multi purpose smart card to create identity card and payment transactions. The
design make smart card doesn't save some data directly in the smart card but in the server for
account based system. Authentication process must be fast to serve many transactions on client.
payment card , the smart card has a microprocessor or memory chip embedded in it that, when
coupled with a reader, has the processing power to serve many different applications. As an
access-control device, smart cards can be used to access server. Through their combination of
portability and security, smart cards are playing an increasingly important role in the rapidly
developing areas of electronic commerce and online information services. Smart card
technology has advanced over the last 30 years: storage and processing capabilities are
improved, security has been enhanced, the management software has matured, contactless
technologies are available, and multiple applications are there.Aarti Bhosale, Shweta Bhor,
Pratima Sabale, Pushpak Shinde, “Survey on Smart Ration Card using Internet of Things”
International Journal of Computer Applications (0975 – 8887) Volume 180 – No.3, December
2017.Dr. Satyam Pincha, Kusum Lata Joriya, “Analytical Study on Aadhaar Card (UIDAI) and its
inclusion into Public Services Delivery” Journal for Studies in Management and Planning

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 169-180, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100219
170 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

.Fernandes e Fizardo, Mr. Chavan Nehal Sadguru, Mr. Usapkar Yatin Digamber Mr. Naik Swaraj
Shankar,Miss. Raikar Ashma Kishor, “Smart License Card” IJSTE - International Journal of
Science Technology & Engineering Volume 3 Issue 07 JanuaryMala, A. Ashwini, J. Jayapratha,
E. Vimala, “A Smart Driving License System in RTO Using Quantum Machine Learning
Techniques” International Journal of Engineering Research & Technology (IJERT).Lakshmi, R.
Karthikamani, N. Divya, “Aadhar Card based smart e-voting system” International Journal of
Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-8, Issue-2S,
December 2018

2. PROBLEM STATEMENT
Architecture diagram

Figure 1 Architecture diagram

3. EXPERIMENT AND RESULTS

A. Modules

i. Cards Generation (Admin) : E-card application is an web based application used for
downloading cards. In this modules we can create e-card, update e-card details like
uploading aadhar card, driving licence, ration card and voter id files which to be
download, view e-cards and store data
ii. My Card : In this module user can download the regarding cards of their need. In this
module it contains an unique identity number for downloading each cards. It contains
an captcha and otp generation through which an citizen can safely download the
document file. And user can chat with the admin through chatbot.
iii. Create E-card : In this module admin can create all the details of the citizen through
which they can download the regarding cards through “My card” module.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 171

iv. Update E-card : In this module admin can update all the cards of the citizen so that they
can avoid the cards downloading of wrong details or expired cards
v. View E-cards : In this module admin can view all the card details.

B. Output Screen

Figure1.Welcome Page

Figure 2. Verification Page

172 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure 3. Verified Page

Figure 4. Download Page

Figure 5. OTP Verification

International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 173

Figure 6. Desktop

Figure 7. User chatbot

174 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure 8. Admin Chatbot

Figure 9. About Card Page

International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 175

Figure 10. Contact Page

Figure 11. Cards Generation Page

Figure 12. E-card page

176 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure 13. E-cards Registration Page

Figure 14. E-card View Page

 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 177

Figure 15. Cards Update Page

Figure 16. Cards Inbox Page

C. Performance Analysis

The existing and proposed system are analyzed. The problem identified in the
existing system is user can download the aadhar card document file using otp
generation. The framework for authentication is open ended. And user has an hesitation
of registering their details because of the security of the web application. Each card
has an separate web application to download the cards which leads the user to feel like
doing many works. And in these web application there is no direct communication
between user and the admin. Nearly, 70% performance has been increased.

4. CONCLUSIONS
E-card Download is developed using Asp.net and SQL. This web application
provides facility to download cards in a safest manner. It saves time as it allows
easy and safest download of cards whenever necessary. Through unique identity
number each citizen can download the cards in a safest manner using captcha and
otp generation. And can also chat with the admin so that they can get information
about the cards through chatbot or mail.
178 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

5. FUTURE ENHANCEMENT
In future, first this application can be featured in the improvement of platform to look more
interactive. Second this application can add more cards to be download based on future security
issues, security can be improved using emerging technologies. Third this application can contains
many youtube videos about how to download cards and also the purpose of these
cards. Fourth it can involves scanning cards using QR code so that aadhar card,
driving licence, ration card and voter id can be scanned and shown in an device as an
alternative.

REFERENCES

[1] S. Ashwin, S .Loganathan, S .Santosh Kumar, P.Sivakumar, “PROTOTYPE OF A

FINGERPRINT BASED LICENSING SYSTEM FOR DRIVING” Embedded & Real-Time
Systems PSG College of Technology

[2] Mrs. Padmavathi. R,K.M Mohammed Azeezulla, P. Venkatesh ,Kanchan Kumar Mahato, Nithin
G,”Digitalized Aadhar Enabled Ration Distribution Using Smart Card” 2017 2nd IEEE
International Conference On Recent Trends in Electronics Information & Communication
Technology (RTEICT), May 19-20, 2017, India

[3] Anshu Prasad, Aparna Ghenge, Sonali Zende, Prof. Sashikala Mishra, Prof. Prashant
Gadakh,”Smart Ration Card Using RFID, Biometrics and SMS Gateway” International
Conference on Inventive Communication and Computational Technologies (ICICCT 2017)

[4] Dr .M. PALLIKONDA RAJESEKARAN, R.ARTHI, D.BALAJI, P.DANIEL, “Automatic Smart

Ration Distribution System for Prevention of Civi Supplies Hoarding In India” 2017
International Conference on Advanced Computing and Communication Systems (ICACCS -
2017), Jan. 06 – 07, 2017, Coimbatore, INDIA

[5] Gaikwad Priya B, Sangita Nikumbh, “E – Public distribution system using SMART card and GSM
technology ” Proceedings of the International Conference on Intelligent Sustainable Systems (ICISS
2017) IEEE Xplore Compliant - Part Number:CFP17M19-ART, ISBN:978-1-5386-1959-9.

[6] Mohamed Mohandes,”A Smart card management and application system” , 2010 IEEE International
Conference on Progress in Informatics and Computing. Part Number : 10.1109/PIC.2010.5687971

[7] R Padmavathi; K.M Mohammed Azeezulla ; P. Venkatesh; Kanchan Kumar Mahato; G

Nithin, “Digitalized Aadhar enabled ration distribution using smart card”. 2017 2nd IEEE
International Conference on Recent Trends in Electronics, Information & Communication
Technology (RTEICT). Part Number: 10.1109/RTEICT 2017 8256670

[8] Ch.Sai Pratap Varma; D.Sumanth Rahul; Jithina jose; B. Keerthi Samhitha; Suja
Cherukullapurath Mana “Aadhar Card Verification Base Online Polling” 2020 4th International
Conference on Trends in Electronics and Informatics (ICOEI)(48184).

[9] Pooja Shrivastava; Sandeep kumar Agrawal “Unique Identification In Elections through Internet
Of Things”. Publisher: IEEE 2018 International Conference on Advanced Computation and
Telecommunication(ICACT). Bhopal, India

[10] Bhuvanapriya R.; Rozil Banu S.; Sivapriya P.; Kalaiselvi V.K.G. “Smart voting” 2017 2nd
International Conference on Computing and Communications Technologies (ICCCT)
DOI: 10.1109/ICCCT2.2017.7972261. Chennai India.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 179

[11]. K. Lakshmi, R. Karthikamani, N. Divya “Aadhar Card based smart e-voting system”
International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958,
Volume-8, Issue-2S, December 2018.

[12] Himanshu Agarwal “Online voting system for India based on aadhaar id”, NOVEMBER 2013
DOI:10.1109/ICTKE.2013.6756265 CONFERENCE: 2013 11TH INTERNATIONAL CONFERENCE ON ICT
AND KNOWLEDGE ENGINEERING (ICT & KNOWLEDGE ENGINEERING).

[13] R. Balaji1 , Muhammed Afnas. M. P2 , B. Praveen Kumar3 , V. Varun4 , C. Tamizhvanan5

“Embedded based E-Voting System through Fingerprint and Aadhaar Card Verification “ .

[14] B.Madan Mohan Reddy, D. SrihariRFIDBASED BIOMETRIC VOTING MACHINE LINKED TO

AADHAAR FOR SAFE AND SECURE VOTING, International Journal of Science, Engineering and
Technology Research (IJSETR) Volume 4, Issue 4, April 20

[15] L.Rura, B. Issac and M.K. Halder, ONLINE VOTING VERIFICATION with CRYPTOGRAPHY
and STEGANOGRAPHY APPROACHES, Proceedings of 2011 International Conference on
Computer Science and Network Technology, Harbin,pp.125-129. 2011
180 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

AUTHORS
Photo
Ms. K. Rabiyathul Basaria doing final year MCA in Francis Xavier
Engineering College.

Ms. S. Sujitha working as Assistant Professor in the Department of Computer

Applications, Francis Xavier Engineering College. Her area of interest is Wireless
Sensor networks

Ms. K. Nambi Natchiar doing first year MCA in Francis Xavier Engineering
College
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

PERSONALITY PREDICTION USING

THROUGH CV ANALYSIS

MuthuselviM, Angeline Ranjitha Mani and AbinayaV

Department of Computer Applications, Francis Xavier Engineering College,

Tirunelveli

ABSTRACT
This Human Resource Management is obviously bolstered by and gave more open doors
by the improvement of Job Characteristics Model (JCM) which thusly depends on the idea of
present day occupation plan. Luckily, the advancement in present day data framework,
computerized innovations, the general access of electronic innovation and web prompted the
tendency of the worldwide Human Resource. The board improvement and make the
framework more pertinent. Following the pattern, the proposed framework attempts to
structure an arrangement to coordinate Job Characteristics Model into E-HR framework to
scan for another model of proficient activity on Human Resource Management in the
Internet Age. In this venture, we present a lot of strategies that makes the entirety enlistment
process increasingly viable and productive. We have executed a framework that positions the
competitors dependent on weight-age arrangement just as a bent test. Today there is a
developing enthusiasm for the character attributes of an up-and-comer by the association to
more readily look at and comprehend the competitor's reaction to comparable conditions.
Along these lines, the framework directs a character expectation test to decide the character
attributes of the applicant. At long last, it shows the consequences of the contender to the
selection representative who assesses the top competitors and waitlists the applicant. This
system can used in many business sectors that may require expert candidate. This system will
reduce workload of the human resources. This system will help the human resource to select
right candidate for desired job profile, which in turn provide expert workforce for the
organization. Admin can easily shortlist a candidate based on their online test marks and
select the appropriate candidate for particular job profile. This will enable a more effective
way to short list submitted candidate CVs from a large number of applicants providing
aconsistent and fair CV ranking policy, which can be legally justified

KEYWORDS
,
Personality, Service oriented architecture, CV ranking, Aptitude, Questions, Human
Resource Management

1. INTRODUCTION
Job Characteristics Model (JCM) which thusly depends on the idea of present day occupation
plan. Luckily, the advancement in present day data framework, computerized innovations, the
general access of electronic innovation and web prompted the tendency of the worldwide Human
Resource. The board improvement and make the framework more pertinent. Following the
pattern, the proposed framework attempts to structure an arrangement to coordinate Job
Characteristics Model into E-HR framework to scan for another model of proficient activity on
Human Resource Management in the Internet Age.the association to more readily look at and
comprehend the competitor's reaction to comparable conditions. Along these lines, the
framework directs a character expectation test to decide the character attributes of the applicant.
At long last, it shows the consequences of the contender to the selection representative who

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 181-192, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100220
182 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

assesses the top competitors and waitlists the applicant. This system can used in many business
sectors that may require expert candidate. This system will reduce workload of the human
resources. This system will help the human resource to select right candidate for desired job
profile, which in turn provide expert workforce for the organization. Admin can easily shortlist a
candidate based on their online test marks and select the appropriate candidate for particular job
profile. This will enable a more effective way to short list submitted candidate CVs from a large
number of applicants providing aconsistent and fair CV ranking policy, which can be legally
justified.

2. LITERATURE SURVEY
Afify (2011)Is highly related to the research topic as it presents a new model of job web service
based on Service-Oriented Architecture (SOA). In this model, the researchers have tried to regain
the connection between user and Social Solidarity. The proposed model aims to create a Web-
based job and resume related to the subsidiary lifecycle. The cycle begins with the distribution of
various services supplied through the subsidiary. Those services were delivered to various people
according to their requirements. Due to different hindrances, those services may not be efficiently
applied. Because of that, there has been a must for a system that tracks down and discovers user
problems and provides them with suitable feedback. This system can manage complaints through
recording them and giving feedback for each raised complaint. The study outcome has been a
helpful reference to determine users’ requirements from the job and the managing process of this
complaint in the core of any firm.

Trappey (2010)Have analyzed the configuration of the personality handling system for a
restaurant chain in Japan. The complaint handling process gets over the defective approach of
prior complaint handling through modifying the operations. So, this was beneficial to the
operations taking place between the chain main administrative center and the other branches. To
describe the personality handling model and its process, the formal integrated process modelling
approach has been utilized. The new configuration contained complaint reporting, compensation
diagnosis as well as complaint analysis. Moreover, the model, through the system, can
spontaneously give the decision support on complaint resolution.

TruptiBomble, RitikaRaut and RuchiKanekar (2015)Presented a paper on android based

personality prediction from cv. This system proposes on developing an android application which
will help the common people under the same jurisdiction of a municipal corporation to register
their grievances about day to day problems in their locality through a mobile application, but the
problem is that fake complaints can be entered and there is no possibility to verify before
resolving it. In addition to this there is no guarantee regarding progress of every jobs. Our system
overcomes these problems by, priority based complaint resolving method and every registered
complaint will get an acknowledgement on the complaint with the due date of completion.

Ali Mohammad Ahmadvand and ElhamAkhondzadeh (2010)Presented a paper on effective user

relationship management. In this they proposed a system on data mining the complaints made by
the citizens to manage their requirements and a process which collects, analyzes, and evaluate
their needs. The problem in this system is, that the system can’t solve the day to day grievance of
the citizens. But in our proposed system, the day to day grievance of citizen will be registered by
the citizen and will be resolved in due time.

Pyon (2011)Have thought that personality by call centers are enough to support the analysis of
service promotion in the monetary service industry. Thus, they have proposed a web-based
decision support system for running the business operation exploiting customer complaints;
Voice of the Customer (VOC). The system has been tackling information for service promotion
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 183

and involving VOC conversion for information upgrading together with including analysis of
outlining, exception, and comparisons.

3. PROBLEM STATEMENTS
The existing e-recruitment system simply scans the submitted CVs and shortlist the candidates
wherein the proposed system conducts an online aptitude test and personality test thereby
predicting the personality of the candidate as well as short-listing the candidate based on his skills
and decision-making ability.The impact of manual interviews and the resumes over HR has kept
on increasing in recent years. It is very important to come up with a solution that can shorten or
fasten the HR department work.Therefore a system has been implemented that recommends the
candidates CV. Traditional forms of recruitment typically involve job seekers filling out physical
resumes and giving interviews with the surge in applicants lately, the number of candidates tends
to over whelm the employers. The proposed automated candidate grading system utilizes
machine learning algorithms to build the models which test them.

Candidate can also give an online test, which will be conducted on personality questions as well
as aptitude questions. After completing the online test, candidate can view their own test results
in graphical representation with marks. The system would then derive and rank the candidates
who were eligible for the job. The rank of each candidate acts as a score of how well the
candidate’s profile meets the specifications of the recruiters as well as cumulative score of the
aptitude test. The recruiter could also analyze the personality of the candidate based on the result
of the personality test. So, based on CV, aptitude test and the personality test the candidate would
be shortlisted.

4. ARCHITECTURE DIAGRAM
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5. FEASIBILITY
Preliminary investigation examine project feasibility, the likelihood the system will be useful to
the organization. The main objective of the feasibility study is to test the Technical, Operational
and Economical feasibility for adding new modules and debugging old running system. All
system is feasible if they are unlimited resources and infinite time. There are aspects in the
feasibility study portion of the preliminary investigation:

 Technical Feasibility
 Operational Feasibility
 Economical Feasibilty

 Technical Feasibility

Earlier no system existed to cater to the needs of ‘Secure Infrastructure Implementation System’.
The current system developed is technically feasible. It is a web based user interface for audit
workflow at NIC-CSD. Thus it provides an easy access to the users. The database’s purpose is to
create, establish and maintain a workflow among various entities in order to facilitate all
concerned users in their various capacities or roles. Permission to the users would be granted
based on the roles specified. Therefore, it provides the technical guarantee of accuracy,
reliability and security. The software and hard requirements for the development of this project
are not many and are already available in-house at NIC or are available as free as open source.
The work for the project is done with the current equipment and existing software technology.
Necessary bandwidth exists for providing a fast feedback to the users irrespective of the number
of users using the system.

 Operational Feasibility

Proposed projects are beneficial only if they can be turned out into information system. That will
meet the organization’s operating requirements. Operational feasibility aspects of the project are
to be taken as an important part of the project implementation. Some of the important issues
raised are to test the operational feasibility.

 Economic Feasibility

A system can be developed technically and that will be used if installed must still be a good
investment for the organization. In the economical feasibility, the development cost in creating
the system is evaluated against the ultimate benefit derived from the new systems. Financial
benefits must equal or exceed the costs.The system is economically feasible. It does not require
any addition hardware or software.

6. EXPERIMENTS AND RESULTS

 Aptitude Question

This module was created for the added the aptitude question. The question can be a added only
admin. The admin, who will be a question, will upload the questions into the database, which can
be accessed by the authenticated users. The aptitude
questionallowsthestudenttolearntheoutlineofthetopic,whichistobetaughtonthefore- coming class.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 185

 Personality Question

This module was created for the added the aptitude question. The question can be a added only
admin. The admin, who will be a question, will upload the questions into the database, which can
be accessed by the authenticated users. The aptitude
questionallowsthestudenttolearntheoutlineofthetopic,whichistobetaughtonthefore- coming class.
Give Test

The system interface is going to show the questions of different . The mainly going to
these types

 Maths
 English
 Programming

 Take Test

By using the user id and password user can log into the system and collect the necessary
information from the home page.

 Mathematical Question
 English Question
 Programming Question
 Personality Question
 Aptitude Question

 Result For Chart

The User can be result in the pages. For Example,
 Chart way of English question
 Chart way of Maths Question
 Chart way of Programming Question
 Chart way of Personality question
 Chart way of Aptitude question

 Database Collections

The administrative user interface concentrates on the consistent information that is practically,
part of the organizational activities and which needs proper authentication for the data collection.
The interfaces help the administrations with all the transactional states like Data insertion, Data
deletion and Data updating along with the extensive data search capabilities.The operational or
generic user interface helps the users upon the system in transactions through the existing data
and required services. The operational user interface also helps the ordinary users in managing
their own information helps the ordinary users in managing their own information in a
customized manner as per the assisted flexibilities

7. ABOUT PROJECT
The major inputs and outputs and major functions of the system are follows:

Admin enter his user id and password for login. User enters his user id and password for login.
Admin enter user id or date for track the user login information New users give his completed
186 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

personnel, address and phone details for registration. Admin gives different kind of user
information for search the user data. User gives his user id, hint question, answer for getting the
forgotten password. User request for Municipal Bill. Admin can have his own home page.

Users enter their own home page. The user defined data can store in the centralized database.
Admin will get the login information of a particular user. The new user’s data will be stored in
the centralized database. Admin get the search details of different criteria. User can get his forgot
password. User can get the Bill Details.

8. OUTPUT SCREEN

Figure: 1.1 - Home Page

Figure: 1.2 - Login Page

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Figure: 1.3 – User Register Page

Figure: 1.4 – Candidate Details

188 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure: 1.5 – Job Details

Figure: 1.6 – Apptitude Question

Figure: 1.7 – Add A Personality Question

International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 189

Figure: 1.8 – View Add A Question Page

Figure: 1.9 – Take A Test Page

Figure: 1.10 View Result Page

190 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure: 1.11 - Opening Page

Figure: 1.12 – User Profile Page

Figure: 1.13 – Chart Page

 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 191

9. CONCLUSION
This system will help the human resources department to select right candidate for particular job
position, which in turn provide expert workforce for the organization. This system will help to get
shortlisted CV’s according to their ranking. Ranking is based on their test result and experience,
qualification etc. This system will reduce work of the human resource department.

10. FUTURE ENHANCEMENT

Further, we can alter the current framework to perform a conclusion examination of web-based
life information.Some more arrangement calculations of AI can be incorporated to give much
better functionalities.Further, the effectiveness and execution of the application can be tried and
broke down.

REFERENCES

[1] F. Safia, N Ashaamitha Mathew.(2014) “”, International Journal of An integrated e‐recruitment

system for automated personality mining and applicant ranking.
[2]. S.dilini , P kusai(2017) “Personality based E- recruitment system , 29th Annual International
Conference of the IEEE.
[3]. Allan Robey1, Kaushik Shukla2, KashishAgarwal(2018)SystemPersonality Prediction System through
CV Analysis(2018). D Tantam, The machine as psychotherapist: impersonal communication with a
machine. BJP synch Advances2017.
[4]. Barrick M. R. Mount. M. K proposed big five personality dimensions for any person in 1991 to
determine the personality of any reason.
[5] Shruti Maheshwari, G. K. (2019). Personality Prediction through Curriculum Vitae Analysis Involving
Password Encryption and Prediction Analysis. International Journal of Advanced Science and
Technology, 28(16), 01 - 10.
[6]. FoDRA – Nikolaos D. Almalis George A. Tsihrintzis ,Aggeliki D. Strati , “A New
Content-Based JobRecommendation Algorithm for Job Seeking andRecruiting” , 2016.
[7] Data,Vishnu M Menon Computer Rahul Nath H A, “ANovel Approach to Evaluate and Rank
Candidates in ARecruitment Process by Estimating EmotionalIntelligence through Social
Media”,May 2016.
[8] Manasi Ombhase, Prajakta Gogate, Tejas Patil “Automated Personality Classification Using
DataMining Techniques” 10.13140/RG.2.2.35949.59363, 2017.
[9]. Amit Palve, Rohini D.Sonawane, Amol D. Potgantwar,"Sentiment Analysis of Twitter
Streaming Data forRecommendation using, Apache Spark", InternationalJournal of Scientific
Research in Network Security andCommunication, Vol.5, Issue.3, pp.99-103, 2017.
[10]. Huan Liu, Lei Yu, "Towards integrating feature selectionalgorithms for classification and
clustering", IEEETransaction on Knowledge and Data Engineering,.
192 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

AUTHORS

Ms.M.Muthuselvi doing final year MCA in Francis Xavier Engineering College

Mrs.D.Angeline Rangithamani is working as Assistant Professor and HOD in the

department of Computer Applications, Francis Xavier Engineering College. She is
having teaching experience of 12+ years. Her area of intrest is Wireless Sensor
Networks.

Ms.V.Abinaya doing first year MCA in Francis Xavier Engineering College.

 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

VEHICLE BREAKDOWN ASSISTANCE

NivethaM1 and SujthaS2AbinayaV3
1
Department of Computer Application, Francis Xavier Engineering College
2
Department of Computer Application, Francis Xavier Engineering College
3
Department of Computer Application, Francis Xavier Engineering College

ABSTRACT
This application is used to find nearby area mechanics while we suddenly stranded on the
remote locations with mechanical issues of our vehicle. It is a good solution for the people
who seek help in the remote locations. In this, the approved mechanics are enlisted in this
application. Also they are under monitored by this system for not charging any extra service
fee from the users. This can be monitored by the admin through the user feedback based on
their service. The registered users can access this application. This application will help to
reduce wasting user time to found a proper mechanic. This application will allow user to
make payment for a vehicle repair in a reasonable price.

KEYWORDS
Vehicle, Assistance, Travel, Spare-parts, Mechanic shop, Power, Service

1. INTRODUCTION
Today most of people use their own vehicle for travel. While travelling most of us are troubling
with breakdown of our vehicle on the road. This is a worst experience that they have to face.
When our vehicle suddenly breakdown on the road, the user have to search for mechanic and
have to see a spare-part shops near to their location. At that time we can’t able to search for a
good mechanic and we have to arrange some other transportation. By using this application the
user can find suitable mechanic. The most advantage is the user can find a mechanic based on
their user location and make payment. Varun Kapadi, SaigitaGuruju, Bhupesh Bojja, Prof.
NilimaNikam had discussed about the application which directly connect with google GPS
system and it shows the users current location.This project will show the name and address or
location of all hospital those are in the range and the user can able to select any one hospital.
VibhaviArtigala, H.DhanukaNadeeshani have discussed about the application Helpme. This will
show the user location and direct the nearest service provider to user and the chat platform where
the user can ask some relevant questions to the mechanic. Miss. K. Iswarya Miss. D. Devaki
Mr. E. Ranjith have discussed about the application which helps to find nearby service centres as
well as the fuel stations in case of any emergency situations like insufficient fuel on vehicles and
un-avoided incidents like puncture, break failure, doping etc. Akhila VKhanapuri,
AnaghaShastri, Gareth Dsouza, Shannon Dsouza has discussed about the android application is
proposed which monitors parameters like Engine RPM, fuel status, throttle position through an
On board Diagnostics (OBD-II) being able to help amateur drivers with gear changing and
provide assistance in case of vehicle breakdown. Khoo JinSheng, Ahma SuhaimiBahurudin,
Kamal Karkonasasi has discussed in this paper that start with the analysis of the car breakdown

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 193-202, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100221
194 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

incidents on the road. It expects that through some research, the statistics of car breakdowns can
be obtained to see if this project is helpful to those in need.

2. PROBLEM STATEMENT
The problem while travel is breakdown of our vehicle. In this situation, the only way is to look
for some other transportation at that time of issue and then they need to get a mechanic to the
particular location at which they have left their vehicle. In this application, the mobile users can
get nearby area mechanics by searching at anytime and anywhere. The admin can access the shop
details and check whether the registered shop is licensed or not and provide approval.

Existing System

 In an existing system there are users who have their own mechanic number and it is also
difficult for them to arrive at time.
 And it is also possible to find out the suitable mechanic for the desired service at remote
locations.
 The only way is to look for any other transportation at that time of issue and then they
need to get a mechanic to the particular location at which they have left their vehicle.

Proposed system

 The proposed application helps to find the nearby mechanics easily and quickly.
 This application show the user location and direct the nearest service provider to the
user.
 It allows us to search the nearby mechanics from different locations and call to the
mechanic.
 The user can make payment based on their service through this application.

Architecture Diagram

Figure 1: Architecture Diagram

 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 195

3. EXPERIMENT AND RESULTS

Create Business

In this module, the business owner can add their business details like Mechanic name, Services,
Availability and Address. Once the business is created the admin will provide the approval for
the business.

Update Business

In this module, the business owner can upload the location and can edit and view the details.

Approve Business

In this module, the admin can provide the approval for the registered business and can view the
user details and ratings.

Find on road services

In this module, the user can search the nearby mechanics according to their location.The user can
call or message to the particular mechanics who is nearby to their locations. PAYMENT: In this
module, the user make the payment based on the services.

Admin

The admin will provide approval for the registered business and can view user details.

Database Collection

The database will maintain all records about the mechanic shop details and user details in this
application. So that it is easy to access and retrieve data from the database. The user can search
the nearby mechanics shop which is stored in the database.

User details and business owner details are stored in database and it can be viewed by admin.
The admin will provide approval for the registered business. The admin will keep on checking
the feedback of the user to know the service provided by the mechanic shop.
196 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Output Screen

Figure 2:Login page

Figure 3 Create Bussiness

International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 197

Figure 4:Business Details

Figure 5:Find
198 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure 6:Shop Details

Figure 7:Business Approval

International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 199

Figure 8:Details

Figure 9:Other Business Details

200 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure 10: User Details

Figure 11:Paypal

PERFORMANCE ANALYSIS
The existing and proposed systems are analysed. The problems can be easily rectified with this
concept. Nearly 70% of the performance has been increased.

4. CONCLUSION
When the vehicle breakdown occurs the driver have to see a mechanic or the repair shop. The
driver has to ask for help from the people. By using this application, the user can find mechanic
based on user location. The user can get the mechanical help directly and easily. This is help to
save user’s time while the traveling. When the breakdown occur, user can fix their vehicle
immediately. That make comfortable the user. They won’t make tired their journey.

5. FUTURE ENHANCEMENT
In Future, the vehicle and spareparts shop will be categorized according to the vehicle model.
That is help to user found their spare-parts according to the type of the vehicle by saving their
time. In addition to that the list of hospitals and Fuels stations can be added.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 201

REFERENCES

[1] Lee, Shuiping Wei, Bangyan Ye, Zhiguang Fu, "Research on GPS Positioning Information
Transfer Based on Wireless Network," 2007, 28(6): 589-592.
[2] Jianxun Zhao, "Mobile Location Services Development and Implementation Based on Android
Platform," Modern Business Trade Industry. pp 271-272. October 2010.
[3]. "A public safety application of GPSenabled smartphones and the android operating system"- Systems,
Man and Cybernetics, 2009. SMC 2009. IEEE International Conference-Whipple, J.Inf. Syst. Eng.
Dept., Southwest Res. Inst., San Antonio, TX, USA Arensman, W. ;Boler, M.S.

[5]. "Developing an Android based learning application for mobile devices", Telematics and Information
Systems (EATIS), 2012 6th Euro American Conference, de Clunie, G.T.Fac. de Ing.
de Sist., Computacionales, Univ. Tecnol. de Panama, Panama City, Panama Serrao, T. ; Monteiro
Braz, J.R.- . Serr o, T. Rangel, N. Castillo, A. G mez, B. Rodrguez, . de Barraza, . Riley, J.
[6]. The Interaction Design Foundation. (2020). Prototyping: Learn Eight Common Methods and (Anon.,
2020)Best Practices. [online] Available at: https://www.interaction-
design.org/literature/article/prototyping-learn-eight-common-methods-and-best-practices [Accessed
20 Jan. 2020].
[7] The Interaction Design Foundation. (2020). Prototyping: Learn Eight Common Methods and Best
Practices. [online] Available at: https://www.interaction-design.org/literature/article/prototyping-
learn-eight-common-methods-and-best-practices [Accessed 20 Jan. 2020.
[8]. Monica, 2018. A Car Breakdown Service Station Locator System. INTERNATIONAL JOURNAL OF
ADVANCE SCIENTIFIC RESEARCH, 3(4), pp. 13-16
[9]. Florian, e., 2017. Google Patent. [Online] Available at:
https://patents.google.com/patent/US20190171758A1/en [Accessed 17 January 2020].
[10].Reichardt, e., 2002. Car Talk 2000. [Online] Available at:
https://ieeexplore.ieee.org/abstract/document/1188007 [Accessed 17 December 2019 ].
202 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

AUTHORS

Ms.M.Nivetha doing final year MCA in Francis Xavier Engineering College.

Mrs.S.Sujitha working as Assistant Professor in the department of Master of

Computer Applications, Francis Xavier Engineering College. Her area of intrest in
Wireless Sensor Networks.

Ms. V.Abinaya doing first year MCA in Francis Xavier Engineering College.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

A NOVEL ONLINE APPROACH FOR JAZZY

JEWELS
Subha J1 Sujitha S2 Subalakshmi K 3
1
Department of Computer Application,Francis Xavier Engineering
College,Tamil Nadu, Tirunelveli
2
AP/Department of Computer Application,Francis Xavier Engineering
College,Tamil Nadu, Tirunelveli
3
Department of Computer Application,Francis Xavier Engineering
College,Tamil Nadu, Tirunelveli

ABSTRACT
The objective of this software is to enable a Jeweller manage all their business workflow
through an automated software system which brings more efficiency to their business and
interactive/transparency to the user. It also provides automated tools that can be used for
Online purchasing and order. Jewellery Automated System can be user friendly between the
Jewellery shops and their clients

KEYWORDS
Ec,c2c,mas,rdbms,gnu

1. INTRODUCTION
It is open that most of the people are seeking to buy items every day in most cities and towns,
both locally and abroad, desperate if they might get a solution or a right person to deliver a
solution to them. These people end up settling at items or service providers who are fraud or who
sell illegal and fake items to the desperate buyers.There are legit business people and store
owners who have quality items in the locality of the auctioneer, but they do not meet for business
because the auctioneer is not informed about the items available. This is a great frustration in
deed!This project shall handle this issue by creating an online platform where a user will be able
to post items online for auction. The items will accompany item name, selling price, and a picture
presentation for the bidder to see. The bidder, if interested in the item, will make the auction for
the product and will be able to inspect the item physically to make an approvement about the
product then complete the business with the seller.People are always on the go to their renown
product supplier, or nearby market center or at times a local hawkers, who goes on to supply
items and at times when he cannot get the item the buyer wants, mostly they give their hands to
get them items and at times they mess and bring fake and quarks deliver stolen and bad items.
This is because unqualified people offer delivery of items to customers.Due to the disparity of the
buyers, scammers have always taken the advantage to offer item delivery to the customers. Many
fake items have found their way into the hands of the people, or buyers remain in the same
condition of lack, as they don’t get the correct products from the sellers. Sometimes buyers
struggle to find the right items, in failure, and they seek to get back to their homes.The customers
will be assured of getting the right products, since they will take their time to analyses and
compare a range of listed items and choose appropriately according to their need or desire.This

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 203-209, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100222
204 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

will save time that buyers take in search of items and therefore they will save themselves from
worsening of conditions which may lead to wastage of time conditions. This will also save
money that is spend around travelling and bidding for the undesired items.

Elementary education besides being a basic human need is vital for raising the standard of life,
providing gainful employment, removal of regional backwardness, thereby ensuring overall
development and wellbeing of a country. It is therefore the need of the hour to review the
literature carried out by different academicians, educational thinkers, researchers, policymakers
and educational reformers in the field of education Among our findings, we uncover an
important correlation among sniping and high surplus ratios, which implies the uncertainty of
true value in a competitive environment. The key issue is the wrong assumption that bidder’s
valuations are independent from each other, which leads to inefficient auctions. In order to
address the inefficiencies of current online formats we introduce a declining price auction model
customized for online transactions. Conceptually, this model ought to deal with the complexities
of competition in an online environment while maximizing social welfare. [1 ]The online
auction does not take place face to face which creates anonymous bidders. The auctioneers
cannot have a hold on who is participating in the bidding. This can lead to anonymity in
identifying the bidders and further in shill bidding. By predicting the end-bid price of product
and keeping it concealed from bidders, bids can be analyzed against the predicted price or range
of it and if any unpredictable unexpected bid is occurred, then the respective bid can be treated
as shilled or fake one and can be ignored..[2]Online auction is becoming more and more popular
in electronic commerce (EC). It has become the mainstream trading methods in consumer to
consumer (C2C), such as eBay. The steady collaboration field and common concept of
exchange ;may be formed in the cooperation of the MultiAgent system (MAS), and then the
agents will have so much common knowledge in order to complete the tasks. The member of
MAS has both cooperation and self-interest. Based on the analysis of the cooperation and
competition of the participators in the online auction, the concept of overtime and history
information is introduced. As existing consider the history information. This paper put forward
a MAS flow frame and negotiation algorithms that make the bidders of the auction participate in
the negotiation honestly and actively. Both the efficiency and transparency among the
participators have been enhanced. [3]Online auction are among the most significant e-business
applications. Their impact on trading in business to business, as well as in the business to
consumer and consumer to consumer fi eld. Day to Day use of Online Auction is increases.
Customers are moving toward to online Auction for purchasing and selling items. Quite a few
companies have started projects of their own, trying to improve their purchasing and sales
channels.[4]With the added convenience of online transactions also comes the risk of electronic
fraud. Although companies such as eBay have operated for the last 10 - 15 years, very little
auction data has been collected and made publicly available or analysed, to the knowledge of
the authors. Before any assertions about the amount of fraud in online auctions can be made, the
underlying nature and structure of online auctions must be understood.[5]
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 205

Architecture Diagram

Figure 1 Architecture diagram

2. PROBLEM STATEMENT
Modules

Admin

 Admin has the following privileges. Admin can add the new agents(Employees) and new
design and various offer categories.
 Admin can update his profile and types and cost of Jewellery. He can delete the agents
and some jewel categories.
 Admin can view all the agents’ details and booking details. He can generate reports for
ad bookings and customer details.

Agent

 Agent must be login to perform his activities. He has the following privileges. Agent
can add the customers.
 He can update his profile and change his password. He can view all the customer details
and booking details.
 Agent will interact with Customers or clients queries and request.

Customer

 Every user must be a registered person. After registration he gets his own
username and password. By using this username and password only user can
206 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

logon into the system. If the user name and password is invalid the request is
thrown back.
 User can view all the new designs uploaded by the Jewel shops. Based on the
interest he can order the jewels through online itself by confirming the advance
payments. Also user can uploaded their own design requirements to employees
for the further proceedings.
.
Database

 MySQL is an open-source relational database management system (RDBMS).

 MySQL is free and open-source software under the terms of the GNU General
Public License, and is also available under a variety of proprietary licenses.
 MySQL is a fast, easy-to-use RDBMS being used for many small and big
businesses.
 MySQL is developed, marketed and supported by MySQL AB, which is a
Swedish company. MySQL is becoming so popular because of many good

3. EXPERIMENT AND RESULTS

Output Screen

Figure 2 Employee Details

International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 207

Figure 3 Admin Login

Figure 4 Client Details

208 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure 5 Employee Profile

PERFORMANCE ANALYSIS
The existing and proposed system are analysed. The problem identified in exsiting is an admin
panel by which an admin can control the whole bidding system. Admin can manage all the
auction processes and also control the registered customers. There is fixed delivery policy. After
finishing the bidding process, the won bidders can buy the product bymake online payment. This
is a fully dynamic system which can be easily operated by the users This assumption has
prevented them from automating.Nearly 70% performance has been increased

4. CONCLUSION
Online auction has made the interested biddersfrom being physically present in auction houses.
The auction website provides variety of products online which gives many choices to the
bidders to select the product of their interest. The products are placed according to their location.

5. FUTURE ENHANCEMENTS
Online Auction System has made consumers moreeffective and efficient in their behaviour and
hasdriven businesses to a new level. Though thebuyers can view his status in our website, they
are not otified when he won the auction.So further notifications like email and SMS can be
made as future enhancements.

REFERENCES

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[2]. Kalaskar, P.G., Zodpe, S.N. Biodeterioration of library resources and possible approaches for their
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[3] Patidar D. and Soni A. Indigenous material of preserving manuscripts in library. International Journal
of Research in Library Science. Vol. 2(2). Pp. 183-187. 2016.
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[4] Thiyam Satyabati Devi, Impact of Information Technology on the Societal Archive: A Case Study of
Manipuri Manuscripts, International Information and Library Review, Vol.40 (3). Pp. 179-184. 2008

[5] Bakkali, F., Averbeck, S., Averbeck, D. and Idaomar, M. Biological effects of essential oils-A review.
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[6]. Manasi Bhamare , Arati Chame, Gaurav More Prof Amol Rindhe ,” Online Auction”.

[7]. Geetanjali Sawant , Ganesh Bane , Akshay Gurav ,Swaraj Pawar, “Survey on Online Auction System”.

[8]. Patidar D. and Soni A. Indigenous material of preserving manuscripts in library. International Journal
of Research in Library Science. Vol. 2(2). Pp. 183-187. 2016.

[9]. Rashesh G Chothani , Punit R Patel , “A Review of

Online Auction and It's Pros and Cons “.

[10]. Rodel Balingit, Jarrod Trevathan and Wayne Read,

“Analysing Bidding Trends in Online Auctions”.

AUTHORS

Subha J doing final year MCA in Francis Xavier Engineering College

Ms. S. Sujitha working as Assistant Professor in the Department of

Computer Applications, Francis Xavier Engineering College. Her area of
interest is Wireless Sensor networks

Subalakshmi K doing first year MCA in Francis Xavier Engineering College

210 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

DATA INTEGRITY PROTECTION IN CLOUD

Indira G1 Sujitha S2 Subalakshmi K 3
1
Department of Computer Application,Francis Xavier Engineering
College,Tamil Nadu, Tirunelveli
2
AP/Department of Computer Application,Francis Xavier Engineering
College,Tamil Nadu, Tirunelveli
3
Department of Computer Application,Francis Xavier Engineering
College,Tamil Nadu, Tirunelveli

ABSTRACT
In cloud computing integrity of data and access control are challenging issues. Protection of
outsourced data in cloud storage becomes critical. Codes which are regenerating of data
provide fault tolerance. Therefore, remotely checking the integrity of data against corruptions
and other issues under a real time cloud storage setting is our problem of study. It practically
design and implement Data Integrity Protection (DIP) environment.

KEYWORDS
DBMS,ACID,DIP,RAID,RSA

1. INTRODUCTION
As the data is stored in the remote location the user data falls into threats of the intruders where
the confidentiality and integrity of the data is breached. This reduces the trust of the cloud service
provider. There are several measures used by the CSP to provide the security of the data, but it
never matches to the aspects. More and more owners start to store the data in the cloud. However,
this new paradigm of data hosting service also introduces new security challenges. Owners would
worry that the data could be lost in the cloud. This is because data loss could happen in any
infrastructure, no matter what high degree of reliable measures cloud service providers would
take. Sometimes, cloud service providers might be dishonest. It could discard the data which has
not been accessed or rarely accessed to save the storage space and claim that the data are still
correctly stored in the cloud. Therefore, owners need to be convinced that the data are correctly
stored in the cloud.Data integrity is one of the most critical elements in any information system.
Generally, data integrity means protecting data from unauthorized deletion, modification, or
fabrication. Managing entity's admittance and rights to specific enterprise resources ensures that
valuable data and services are not abused, misappropriated, or stolen.Data integrity is easily
achieved in a standalone system with a single database. Data integrity in the standalone system is
maintained via database constraints and transactions, which is usually finished by a database
management system (DBMS). Transactions should follow ACID (atomicity, consistency,
isolation, and durability) properties to ensure data integrity. Most databases support ACID
transactions and can preserve data integrity.Authorization is used to control the access of data. It
is the mechanism by which a system determines what level of access a particular authenticated
user should have to secure resources controlled by the system.Data integrity in the cloud system
means preserving information integrity.The data should not be lost or modified by unauthorized

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 211-218, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100223
212 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

users. Data integrity is the basis to provide cloud computing service such as SaaS, PaaS, and IaaS.
Besides data storage of large-scaled data, cloud computing environment usually provides data
processing service. Data integrity can be obtained by techniques such as RAID-like strategies and
digital signature.Owing to the large quantity of entities and access points in a cloud environment,
authorization is crucial in assuring that only authorized entities can interact with data. By avoiding
the unauthorized access, organizations can achieve greater confidence in data integrity. The
monitoring mechanisms offer the greater visibility into determining who or what may have altered
data or system information, potentially affecting their integrity. Cloud computing providers are
trusted to maintain data integrity and accuracy. However, it is necessary to build the third party
supervision mechanism besides users and cloud service providers

The impact of algorithms and protocols, used to ensure data integrity and privacy, is studied to
test the performance of the proposed model. The prototype system showed that data integrity and
privacy are ensured against unauthorized parties. This model reduces the burden of checking the
integrity of data stored in cloud storage by utilizing a third party, integrity checking service, and
applies security mechanism that ensure privacy and confidentiality of data stored in cloud
computing. This paper proposes an architecture based model that provides data integrity
verification and privacy preserving in cloud computing.[1]In this paper, we propose the model of
distributed virtual machine agent, and the model provides a unique and credible monitoring of
virtual machines for each user in the cloud, so that even the sole administrator of the cloud server
monitoring mechanism cannot bypass it and obtain protected sensitive data, preventing data from
being tampered. In addition, based on virtual machine sagent auditing data, we utilize a data
integrity protocol to make sure the users' data availability and integrity. Security analysis proves
that the protocol can defend three kinds of attack from cloud service provider in our security
model.[2] As many users share their data on a cloud the main question is about security of data
present on cloud. In this research paper solution is provided to maintain data security and data
integrity. This scheme contains a combination of RSA Partial homomorphic and MD5 hashing
algorithm. In this solution data is encrypted by RSA Partial before uploading it on cloud server.
After uploading its hash value is calculated by MD5 hashing scheme. All these approaches
undergo through the following steps Encryption/Decryption, Data uploading on a cloud, Hashing
and Verification.[3] In this paper, a detailed analysis of the cloud security problem is presented.
Also the different problem in a cloud computing system and their effect upon the different cloud
users are analyzed. It is providing a comparably scalable, position independent. Low cost platform
for client's data. Since cloud computing environment is constructed based on open Architecture
and interface. Based on this analysis various computing system and their effect upon the system,
upon organizations and also upon different cloud users are analyzed. It is providing a comparably
scalable, position-independent, low cost platform for client's data. Since cloud computing
environment is constructed based on open architecture and interface. Based on this analysis
various researches have also presented a view of measures that can be taken to deal with the cloud
security problem and prevention that must be taken into account by any organization and cloud
users seeking investment in cloud computing. [4]This new paradigm of data storage service also
introduces new security challenges, because data owners and data servers have different identities
and different business interests. Therefore, an independent auditing service is required to make
sure that the data is correctly hosted in the Cloud. This paper surveys protocols that verify remote
data possession. These protocols have been proposed as a primitive for ensuring the long-term
integrity and availability of data stored at remote untrusted hosts. In this survey, we analyze
several of these protocols, compare them with respect to expected security guarantees and discuss
their limitations[5]
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 213

Architecture Diagram

Figure 1 Architecture diagram

2. PROBLEM STATEMENT
Modules

Data Processing

 In this module, apply metadata processing suitable for operating data intensive and
computational intensive applications. There is a serious requirement to deal with the data
security issues for preserving the data integrity, privacy and trust in the security
environment.

 While security concerns are protecting some organizations from adopting cloud
computing at all. In this module, data owners first encode the metadata files by using
regenerating code, and then store the coded file across multiple cloud servers. The
multiple cloud web servers may locate in the same provider or different service providers.
Data owners may perform block-level active functions on the outsourced data.
214 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Meta Indexing

 In this module, meta indexing are proposed using data structure to support dynamic data
update operations in which the data owner needs to store block index and block logical
location for each block of the outsourced file.
 The main advantage of this method is that it is able to efficiently support dynamic update
operations efficiently due to the node re-balancing problem.
 Data represent the user’s data to be updated
 Index service represent the MAC indexing service
 The data index represent the index of the data on the server Fail Index represent the failed
server index
 When any changes occurred then it uploaded

Third Party Auditor

 In this module, for data integrity confirmation use a third get together auditor, specifically
a sole third party auditor. TPA helps an end user verify the metadata. TPA can gain
access to control should be applied to determine traditional users and minimize the
possibility of unauthorized users.
 The communication and computation expense should be reduced. Information integrity
with high security may be ensured when blocks of information are distributed between
multiple auditors for verification.
 Data represent the user’s data to be updated
 Index service represent the MAC indexing service
 The data index represent the index of the data on the server.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 215

3. EXPERIMENT AND RESULTS

Output Screen

Figure 2 Servers Form

Figure 3. File Upload Form

216 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure 4 Split Files

Figure 5 Server Protection

PERFORMANCE ANALYSIS
The exisiting and proposed system are analysed. The problem identified in exsiting The
existing system is Storage Based on Erasure Coding that Simplify the content placement
and recovery problem at the cost of longer data retrieval. The Rate less property enables its
redundancy. Data security requirement of cloud computing and setup a mathematical data
model for cloud computing. some of the things that appear on the existing system are given
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 217

below. Regenerating codes are implemented to minimize repair traffic in the network. It
does not reading and reconstructing the whole file during the repair time. It reads a set of
chunks smaller than the original file from the other servers and reconstructs only the lost
contents. This assumption has prevented them from automating.Nearly 70% performance
has been increased

4. CONCLUSION
In this project, a TPA based Integrity Verification and Data Recovery has been proposed, which
helps reducing the computation time delay and traffic mismatch errors. The system mainly
depends on Third Party Auditor (TPA) which will verify the status of the servers in regular
interval for the lost connection or data. The system will gain more efficient, higher analytical of
data records, time consuming. This system provides higher result in time consumption and
reduced computation overhead which compared to the previous results. This DIP scheme
maintaining the transparency between End user and cloud service provider by performing the
tight security manually on the client side so that they can be satisfied on their security of data.
So seen the popularity of outsourcing real storage to the respective cloud servers, it is necessary
to enable clients to verify the integrity of a data in the cloud. Our DIP scheme preserve a fault
tolerance and repair traffic saving.

5. FUTURE ENHANCEMENTS
In the future work, a backup or replication to the TPA can provide higher data retrieval and
indexing in very less period. The security can be added to the system will help in protecting the
more privacy to the user data and files. An efficient machine learning algorithms like
ADABOOST can be implemented in the system which will help the system in time
consumption and increase the accuracy of the retrieval.

In future we are going to focus on storage of data and retrieval of data to be done automatically
that is auto backup with more tight security of data. It is designed for text file so in future we
will further developed for audio and video respectively

REFERENCES

[1].C. Wang, Q. Wang, K. Ren, and W. Lou, “Privacy-Preserving Public

[2].Auditing tool for cloud Data Storage”, In Proc. of IEEE INFOCOM, 2010.

[3]’Balachandra Reddy Kandukuri, Ramkrishna Paturi V, DR.Atanu Rakshit,

[4].“Cloud Security Issues”, 2009 IEEE International Conference on Services Computing.

[5].Mandeep Kaur and Manish Mahajan, “Implementing Various Encryption Algorithms to Enhance The
data Security of Cloud in Cloud Computing”,

[6].2012 VSRD International Journal of Computer Science & Information Technology.

[7].Mehmet Yildiz, Jemal Abawajy, Tuncay Ercan and Andrew Bernoth, “A Layered Security Approach for
Cloud Computing infrastructure”, 10th International Symposium on Pervasive Systems, Algorithms,
and Networks, 2009 IEEE.

[8].Amazon Elastic Cloud. http://aws.amazon.com/ec2/.

218 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

[9]. Amazon Simple Database Service.http://aws.amazon.com/s3/.

[10]. http://ieeeexplore.ieee.org/Cloud Security and Data Integrity Farooq M, Hasan M, Gull F, Mycobial
deterioration of stone monuments of Dharmarajika, Taxila, Journal of Microbiology &
Experimentation, Vol. 2(1). Pp. 36-412015.

AUTHORS

Indira G doing final year MCA in Francis Xavier Engineering College

Ms. S. Sujitha working as Assistant Professor in the Department of

Computer Applications, Francis Xavier Engineering College. Her area of
interest is Wireless Sensor networks

Subalakshmi K doing first year MCA in Francis

Xavier Engineering College
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

PULLING DATA FROM MULTIPLE WEBSITES

TO IDENTIFY BEST DEALS ON AUCTION
WEBSITES
GuruSharmila S 1 Arul Amalraj A2 Subalakshmi K 3
1
Department of Computer Application,Francis Xavier Engineering
College,Tamil Nadu, Tirunelveli
2
AP/Department of Computer Application,Francis Xavier Engineering
College,Tamil Nadu, Tirunelveli
3
Department of Computer Application,Francis Xavier Engineering
College,Tamil Nadu, Tirunelveli

ABSTRACT
Robotic process automation(RPA)is an emerging tool of automation technology based on
notion of software robots or Artificial intelligence(AI). If the customer wants to buy a
Bluetooth speaker. He will go to flip kart and search the product. and see the prices as
expensive. He will buy it .But the same product is cheaper in Amazon. So our project will
give the best product based on the best price and best rating.

KEYWORDS
RPA,BPA,AI,ENIAC,SP

1. INTRODUCTION
Robotic Process Automation (RPA) is being leveraged by many businesses around the world in a
wide variety of sectors to provide a vital competitive advantage in business process automation.
IT Automation is enabled by software including APIs, scripts, jobs, schedulers, programs, events
and a broad range of automation tools. With the advent of Cloud Computing, resources are
exposed by APIs and accessible in real-time.

”Watson is creating a new partnership between people and computers that enhance, scales and
accelerates human expertise ”Way back in 1943, the ENIAC, the computing machine was
invented by J.Presper Eckert and John Mauchly at the University of Pennsylvania and was not
completed until 1946. Some people say that abacus was the first computing machine. This is how
the computing era started in decades back. Like a chameleon, the computing technology wearing
different colors in terms of hardware like desktops, servers, laptops, mobiles and now entering
into "rolltops”. In addition to this, abundant software developments happened in terms of
operating systems, applications, utilities and computing capabilities at the networking edge level
with high bandwidth. Further, the organizational applications also stepped into many folds
including punch cards, spreadsheets, office applications, management information systems and
enterprise resource planning to assist in business applications. Nowadays the business operations
are leapfrogging into the new technological land the so-called "Robotic Process Automation.

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 219-224, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100224
220 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

The way Companies do their business, the way people do official work as well as the public daily
life is going to be drastically assisted by new hardware, software technologies along with smart
devices. The lifestyles of human being are changing across the due to global collaborations,
multinational businesses, new IT/ITes advancements with RPA technology. Along with the
existing new technologies functional in the human life Viz. Internet of Things, Big Data
Analytics, Deep Learning, Artificial Intelligence, Machine Learning and other allied
technologies, RPA is becoming one of the noteworthy disrupting technology.

Architecture Diagram

Figure 1 Architecture diagram

2. PROBLEM STATEMENT
Modules

Economic

Economic feasibility is to check out the project in the view that whether it is financially satisfies
the client as well as developers. In this project the secure framework helps to increase the security
and reduce the cost. This economic feasibility helps us to ensure the budget of the project is
reduced. It is essential.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 221

Technical

Technical feasibility helps to know about the project satisfies the technical requirement.
Technical feasibility centers on the existing computer system and to what extent, it can support
the proposed addition.

Social

An estimate is made of how strong are action the user is likely to have towards the development
this software and how it is used successfully in real time situation. It requires less man power and
thus it is socially feasible.

3. EXPERIMENT AND RESULTS

Output Screen

Figure 2 Purchase Form

222 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure 3 Amazon Result Form

Figure 4 Flipkart Form

 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 223

PERFORMANCE ANALYSIS
The exisiting and proposed system are analysed. The problem identified in exsiting The existing
system is RPA is a tactical move to be used in the short term, until a traditional
automation project can be planned and implemented. RPA is non-disruptive and is almost
agnostic of the underlying technologies. The traditional automation of business processes
(BPA) is a strategic information system transformation move, highlighting all of the places
where existing processes can be automated with better system integration or the set-up of a
specialized process software. it could be deployed on server or on user’s desktop and it
automates actions at the User Interface level. This assumption has prevented them from
automating.Nearly 70% performance has been increased

4. CONCLUSION
Robotic Process Automation technologies including manufacturing industries, chemical plants,
the healthcare sector, aviation and so on, that were already discussed in this article. Let industry
welcome the artificial intelligence humanoids to assist to human life. With this technology people
will be improving their quality of life, caring of elderly people, get services in 24x7, escape the
risky jobs from dangerous situations, bust workflow inefficiencies, shoring up productivity, and
free people from doing repetitive tasks.

5. FUTURE ENHANCEMENTS
The irruption of the RPA tools in the analysis phase would offer an exceptional added value to
the product, based on the fact to that exisisting proposals had not been able to integrate it until
now and the analysis is one of the most important phases in a software project .Achieving
substantial improvements in the execution of the analysis process when an RPA implementation
project is carrying out means reducing economically and temporally the cost of the whole project
.There after achieving the automation of this phase would be beneficial for the current offer of
RPA,by incorporating additional interfaces that allow to document in detail the characteristics of
each process to be automated ,including information such as objectives, metrics, deliverables,
hypotheses, team members,scope,stake holders,customers,input data, and customer requirements.

REFERENCES

[1] Capgemini (2017). Robotic Process Automation: Gearing up for greater integration. White paper
Available at: https://www.capgemini.com/wp-content/uploads/2017/08/robotic-process-autmoation-
paper.pdf.
[2] A Study of Robotic Process Automation Among Artificial Intelligence — Available at:
https://0x9.me/23EJU Robotic Process Automation. Available at: https://www.intellidyne-
llc.com/sites/default/files/2019-02/ITD%20RPA%20Initiative.pdf.
[3] Maximizing Your RPA ROI. Available at:
https://www.helpsystems.com/resources/guides/maximizing-roi-robotic-process-automation.
[4] Robotic Process Automation (2017). A Pragmatic Approach to Digital Transformation. White paper
Available at: https://contextor.eu/wp-content/uploads/2017/06/Livre_Blanc_Contextor_EN.pdf.
[5] Dr. John Hindle, Dr. Mary Lacity, Dr. Leslie Willcocks, Dr. Shaji Khan (2018). ROBOTIC
PROCESS AUTOMATION: Benchmarking the Client Experience. White paper Available at:
https://0x9.me/GSzhj.
[6] Mark Davison and James Manos (2018). WHAT IS YOUR BOT VISION? when and How to Scale
Robotic Process and Cognitive Automation. White paper Available at: https://0x9.me/CH6X1.
224 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

[7] David Chappell (2017). Introducing Blue Prism. Robotic Process Automation for the Enterprise.
White paper Available at:
http://www.davidchappell.com/writing/white_papers/Introducing_Blue_Prism_v2--Chappell.pdf.
[8] Banks, M. R., Willoughby, L. M., & Banks, W. A. (2008). Animal-assisted therapy and loneliness
in nursing homes: use of robotic versus living dogs. Journal of the American Medical Directors
Association, 9 (3), 173-177. [ Links ]
[9]. Barnett, G. (2015). Robotic process automation: adding to the process transformation toolkit. [ Links ]
[10]. Blue Prism Software Robots: Introducing the Virtual Workforce. Accessed dated on 12/6/2018 from
the Accessed dated on 12/6/2018 from the https://www.blueprism.com/about-us . [ Links ]

AUTHORS

GuruSharmila S doing final year MCA in Francis Xavier Engineering College

Mr. A. Arul Amalraj is working as Assistant Professor in the Department of

Computer Applications, Francis Xavier Engineering College. He is having
teaching experience of 12+ years. His area of interest is Cloud Computing

Subalakshmi K doing first year MCA in Francis Xavier Engineering College

 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

E-VOTING WITH HYBRID ENCRYPTION RSA

ALGORITHM
V.Selva Bhuvaneshwari 1 and D.Angeline Rangithamani2 K.Aathi
Vignesh 3
1
Department of Computer Application, Francis Xavier Engineering College
2
AP,Department of Computer Application, Francis Xavier Engineering
College
2
Department of Computer Application, Francis Xavier Engineering College

ABSTRACT
E-voting system based on and improved from our previous work .E-voting system, referred
to as Enhanced note is enhanced with a new protocol design and watchdog hardware device
to ensure voter confidentiality and voting accuracy. The watchdog device records all voting
transactions to prevent voter frauds.The RSA cryptography algorithm ensures that votes
casted are secured, thus maintaining the privacy of votes.The system is such that when the
votes are cast on the nodes, the RSA technique encrypts the vote that is sent to the server
system using both node and vote identity number.

KEYWORDS

voting,citizen, style, styling, insert (key words)

1. INTRODUCTION
Lifestyle E-voting is recording, storing and processing of electoral data of a voting system as
digital information. E-voting system is employed to enable stress-free election and increase the
attendance at polls.The application is initialized, it does not access the Internet until the vote is
completely encrypted and digitally signed and ready to be cast. The various schemes have been
proposed to improve the security and accuracy of Electronic Voting (E–Voting), many disputes
happened in past elections still have not been resolved and new challenges have emerged. In
addition, with paper ballots or machine–readable ballots, the tally results suffer from the
unavoidable delay and ballot feeding errors work .

2. PROBLEM STATEMENT
Electronic voting technology intends to speed the counting of ballots, reduce the cost of paying
staff to count votes manually and can provide improved accessibility for disabled voters. Also in
the long term, expenses are expected to decrease. Results can be reported and published faster.
Voters save time and cost by being able to vote independently from their location. This may
increase overall voter turnout. The citizen groups benefiting most from electronic elections are
the ones living abroad, citizens living in rural areas far away from polling stations and the
disabled with mobility impairmentsE-Voting system use the hybrid RSA algorithm which
encrypts and decrypts the data.In the registration phase the user request pair keys by send hash of

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 225-231, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100225
226 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

his identity with the random key generator to include in his certification in order to prevent
covering the voter's proof in next phases.The voter can obtain only one pair private key because
the voter have one identity and password.

Architecture Diagram

Fig-1 Architecture Diagram

3. EXPERIMENTS AND RESULTS

Module

A.Admin

The admin emailid and the password has to be gathered if it’s a replacement admin and if it’s
already existing admin they will use their name and password to log in with their account to
manage the user’s account.This module also has the responsibility of adding new users and
allowing them to cast their votes and release their voting results.It’s a login session for the
administrator voter and exist

B. Citizen

In this module we enter the details of the candidates who participate in the given selected
election.And We can update the details of the candidate for the election

C.Voting

In this module we enter the information of the voters and we can view the details of voters

D. Result

In this module we can view the final results of the Participating candidate. And it can also reset
database after all process is completed
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 227

Output Screen

Fig- 2 Login Page

Fig-3 Admin page

228 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Fig-4 Citizen Page

Fig-5 Voting Page

 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 229

Fig-6 Citizen Page

Fig-7 Voting Page

PERFORMANCE ANALYSIS

The Existing and proposed system are analysed. In existing system reduce the cost of paying staff
to count votes manually and the proposed system random key generator to include in his
certification in order to prevent covering the voter's proof in next phases.Nearly 70% performance
has been increased.

4. CONCLUSION
This model proposed helps in achieving the authenticity, nontraceability of vote cast and security
with confidentiality also being enforced.Security models such as the voter-verified audit trail
allowed for voting systems that produce a project trail that can be seen and verified by a voter
could be a future work.In such a system, the correctness burden on the voting terminal’s code is
230 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

significantly less as voters can see and verify a physical object that describes their vote and are
allowed to vote in terminal only after their identity is proved and lifestyles.

5.FUTURE ENHANCEMENT
Physical The password used by the user to vote is provided by the administrator. In the future the
user can be given the privilege of changing the password. So it helps to increase the security of
the system.The other two methods that can be used are cornea detection and fingerprinting. But
here the problem is that it decreases the scope of the platform because these systems need some
electronic components to implement.So it will avoid the users privilege to cast the votes at their
fingertips. But it can guarantee that fake voting will be impossible.
.
REFERENCE

[1] Tadayoshi Kohno, Adam Stubblefield, Aviel D.Rubin, Dan S. Wallach,“Analysis of an Electronic
Voting System”, Johns Hopkins University Information Security Institute Technical Report, TR-
2003-19, July23,2003
[2] http://newindianexpress.com/states/andhra_pradesh/Maoistsstrike-fear-make-off-.
[3] with-poll-papers-in-agency/2013/07/ 15/article1684243.
[4] M Executive Summary of "Genesis and Spread of Maoist Violence and Appropriate State Strategy to
Handle it", Bureau of Police Research and Development, Ministry of Home Affairs, NewDelhi
[5] http://en.wikipedia.org/wiki/Electronic_voting
[6] David L. Dill, Bruce Schneier, and Barbara Simons, “Voting and technology: Who gets to count your
vote?”, Communications of the ACM, vol. 46(8), Aug. 2003, pp.29–31
[7] David Evans and Nathanael Paul, “Election security: Perception and reality”, IEEE Security &
Privacy, vol. 2(1), Jan. 2004, pp. 24-31
[8] David Evans and Nathanael Paul, “Election security: Perception and reality”, IEEE Security &
Privacy, vol. 2(1), Jan. 2004, pp. 24-31
[9] Rebecca Mercuri. “Statement on
electronicvoting”http://www.notablesoftware.com/RMstatement.html, 2007
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 231

AUTHORS

Ms.V.Selva Bhuvaneshwari doing final year MCA in Francis Xavier Engineering

College

Mrs. D. Angeline Ranjithamani is working as Assistant Professor and HOD in the

Department of Computer Applications, Francis Xavier Engineering College. She is
having teaching experience of 12+ years. Her area of interest is Wireless
Sensor networks

Mr.K.Aathi Vignesh doing first year MCA in Francis Xavier Engineering College
232 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

FX HEALTHY PHYSICAL
H.Mohamed Masood 1 and J.Abalin Luther2 R.Kejapriya 3
1
Department of Computer Application, Francis Xavier Engineering College
2
AP,Department of Computer Application, Francis Xavier Engineering
College
2
Department of Computer Application, Francis Xavier Engineering College

ABSTRACT
All are aware of the saying “health is wealth”. No one in this world is perfectly alright
incase of health. Each and Every is suffering from some or the other sickness. More
applications are being used through the mobile devices. The study was to analyze healthy
projects from the viewpoint of the planning, implementation and evaluation of the projects.
The purpose was to generate knowledge about the work done in projects that can be utilized
in Health physica l management.

KEYWORDS
healthy, fitness, style, styling, insert (key words)

1. INTRODUCTION
Lifestyle choices can include physical activity, a healthy diet, stress reduction, sleep, quitting
smoking and good oral hygiene. If your habits are already healthy, make sure to maintain them.
If one or more of these areas need improvement, pay some extra attention to it. For a long-term,
successful change, the journey towards a healthy lifestyle should be a positive experience. Notice
all small improvements; every move in a positivedirection is a step forward.Your habits have a
direct impact on your well-being. For example, getting enough quality sleep will make you
feel thoroughly rested, good oral hygiene will contribute to a healthy mouth, and so on. aper is
organized as follows: Section II presents the proposed model of the CV system, Section III states
the optimization problem formulation, Section IV expresses the model results and discussion, and
Section V states the conclusion and future research work .

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 233-238, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100226
234 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

2. ARCHITECTURAL DIAGRAM

Fig-1 Architecture Diagram

3.EXPERIMENTS AND RESULTS

Module

A. Nutritious foods

Manufacturer will register and login to the system by using valid credentials. Then
manufacturer can add the products in its database. They also generate the QR code in the
products.

B. Food To Avoid

This module Mainly use of live a long day by avoiding these unwanted foods Ex: Junk Foods,
Sugary Drinks, Cake & Candy ...etc. There is no health to the human body as all of these foods
are eaten .

C. Stay Fitness Tip

This module full focused on Fitness and Great Physique. allocate three fitness tips. fat to fit
transformation, lose fat, gains weight.

D. Beneficial of Water

Drinking Water Helps Maintain the Balance of Body Fluids. Your body is composed of about
60% water. The functions of these bodily fluids include digestion, absorption, circulation,
creation of saliva, transportation of nutrients, and maintenance of body temperature. we are
includes how to reduce the body and increase the body through the Japanese method.

E. Increase Testosterone Hormone

Formula of Testosterone: C19H28O2 Testosterone is a hormone produced by the human body.

It's mainly produced in men by the testicles. Testosterone affects a man's appearance and sexual
development. testosterone plays a key role in the development of increased Muscle & bone mass,
growth of Body hairs. It stimulates sperm production as well as a man's sex drive. Testosterone is
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 235

both male and female hormone. But mainly used male. Ovaries times of Female used this
hormone

F. Trainer

In this Trainer Modules have more and more specification on this Website. Users can interact
with the Trainers. Users can access Voice Call & Video call with the trainers. the users can
Contacts with Trainers example: email, phone no, instagram, WhatsApp etc.. The user’s Any
Doubts will comes with Clarify the trainers with Chat Applications. The Chat Application will
provide on this website.

G. Blogs

The Blog module allows authorized users to maintain a blog. Blogs are a series of posts that are
time stamped and are typically viewed by date as you would view a journal. The Trainer can Post
Health based Blogs and only viewed by Users and read the daily blogs. In this Module when
Trainer can post the Blogs. then Blogs will store on the database and Blogs will be displayed on
User interface.

Output Screen

Fig- 2 Login Page

Fig-3 Register page

236 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Fig-4 Home Page

Fig-5 Nutritious foods

PERFORMANCE ANALYSIS

The existing and proposed system are analysed. The problem identified existing is system will
also help in providing real time information provided by the healthcare professionals and the
problem identified proposed system Including Healthy ways to Boost Metabolism and Increase
the Testosterone harmone.Nearly 70% performance has been increased.

4. CONCLUSION
The Good nutrition is fundamental for children’s current and future health, as well as their
development and learning. The benefits of developing healthy dietary and lifestyle patterns from
an early age onwards can positively impact on people’s nutrition and health throughout their
adult lives, and enhance the productivity of individuals and nations. Nutrition education is an
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 237

important element in an overall strategy aimed at improving food security and preventing all
forms of malnutrition. Schools (from pre-school to secondary) are ideal settings for promoting
lifelong healthy eating habits and lifestyles.

5. FUTURE ENHANCEMENT
Physical fitness is a general state of health and well-being and, more specifically, the ability to
perform aspects of sports, occupations and daily activities. Physical fitness is generally achieved
through proper nutrition, moderate-vigorous physical exercise, physical activity, and sufficient
rest. Before the industrial revolution, fitness was defined as the capacity to carry out the day’s
activities without undue fatigue. However, with automation and changes in lifestyles physical
fitness is now considered a measure of the body's ability to function efficiently and effectively in
work and leisure activities, to be healthy, to resist hypokinetic diseases, and to meet emergency
situations.

REFERENCE

[1] H. Nazeran, S. Chatlapalli and R. Krishnam, "Effect of Novel Nanoscale Energy Patches on Spectral
and Nonlinear Dynamic Features of Heart Rate Variability Signals in Healthy Individuals during
Rest and Exercise," 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference,
Shanghai, 2005, pp. 5563-5567, doi: 10.1109/IEMBS.2005.1615745.
[2] G. OuYang, "Design and Implementation of Body Mass Index Calculator Based on Android
Technology," 2018 2nd IEEE Advance Information Management,Communicates,Electronic and
Automation Control Conference (IMCEC), Xi'an, 2018, pp. 2459-2462, doi:
10.1109/IMCEC.2018.8469304.
[3] M. Chiang, C. Wu, J. Feng, C. Fang and S. Chen, "Food Calorie and Nutrition Analysis System
based on Mask R-CNN," 2019 IEEE 5th International Conference on Computer and
Communications (ICCC), Chengdu, China, 2019, pp. 1721-1728, doi:
10.1109/ICCC47050.2019.9064257
[4] Gregory J. Colman & Dhaval M. Dave” Physical Activity and Health” DOI 10.3386/w18858
ISSUE DATE February 2013
[5] Yash Jain; Hermish Gandhi; Atharva Burte; Aditya Vora,” Mental and Physical Health Management
System Using ML, Computer Vision and IoT Sensor Network”, 2020 4th International Conference
on Electronics, Communication and Aerospace Technology (ICECA),
DOI: 10.1109/ICECA49313.2020.9297447
238 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

AUTHORS

Ms. H.Mohamed Masood doing final year MCA in Francis Xavier Engineering
College

Mrs. J. Abalin Luther is working as Assistant Professor in the Department of

Computer Applications, Francis Xavier Engineering College. She is having teaching
experience of 5+ years. Her area of interest is Wireless Sensor networks

Ms.R.Kejapriya doing first year MCA in Francis Xavier Engineering College

 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

FX JOB RECRUITMENT
Padmanaban1 and Sujitha2 Muppidathi@Priya3
1
Department of Computer Application, Francis Xavier Engineering College
2
AP,Department of Computer Application, Francis Xavier Engineering
College
2
Department of Computer Application, Francis Xavier Engineering College

ABSTRACT
In this project present a secure and privacy-preserving access control to users, which
guarantee any member in a group to anonymously utilize the cloud resource. Moreover, the
real identities of data owners can be revealed by the group manager when disputes occur. In
this project provide rigorous security analysis, and perform extensive simulations to
demonstrate the efficiency of our scheme in terms of storage and computation overhead.
Cloud computing provides an economical and efficient solution for sharing group resource
among cloud users. Unfortunately, sharing data in a multi-job portal manner while
preserving data and identity privacy from an un trusted cloud is still a challenging issue, due
to the frequent change of the membership .

The major aims of this method a secure multi-owner data sharing scheme. It implies that
any user in the group can securely share data with others by the un trusted cloud. This
scheme is able to support dynamic groups. Efficiently, specifically, new granted users can
directly decrypt data files uploaded before their participation without contacting with data
owners. User revocation can be easily achieved through a novel revocation list without
updating the secret Keys of the remaining users. The size and computation overhead of
encryption are constant and Independent with the number of revoked users.

Job portal is developed for creating an interactive job vacancy for candidates. This web
application is to be conceived in its current form as a dynamic site-requiring constant
updates both from the seekers as well as the companies. On the whole the objective of the
project is to enable jobseekers to place their resumes and companies to publish their
vacancies.

KEYWORDS

Network Protocols, Wireless Network, Mobile Network, Virus, Worms &Trojon

1. INTRODUCTION
Traditional education is defined as teacher-centered delivery of instruction to classes of students
who are the receivers of information. Traditional institutions generally stress basic educational
practices and expect mastery of academic learning in the core subjects. Most organizations
generally follow this educational model[8]. On the other hand, an online educational or e-learning
service is a website, which teaches and helps students improve in certain subjects[5]. These are
normally, used by institutes to let students learn from home and complete online homework.

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 239-249, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100227
240 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Traditional education is not necessarily the most effective way of learning, because no student
can pay full of attention to the class lectures, and it cannot be possible for a student to attend the
class regularly. So due to many reasons such as lack of concentration, absent to the class, wrong
understanding of the concept, etc., the education system may face a poor outcome. Another factor
is that, a lecturer may not handle an efficient teaching methodology. E-learning as a method of
education makes the learners undergo contemplation, remoteness, as well as lack of interaction or
relation. It therefore requires a very strong inspiration as well as skills with to the management of
time in order to reduce such effects. With respect to clarifications, offer of explanations, as well
as interpretations, the e-learning method might be less effective that the traditional method of
learning. The learning process is much easier with the use of the face to face encounter with the
instructors or teachers[2].

Both traditional and e-learning system has its own advantages and disadvantages. In order to
overcome the disadvantages, the project propose an idea of converting the education system into
active learning education, by sharing the videos of class lectures through online. This method will
deliver the benefits of both traditional and e-learning system and makes the education more
efficient.

 Emily BAGARUKAYO, Ezra MWESIGWA(2017),

This paper proposes and highlights the need of an online job board system for colleges and its
effectiveness in bridging the gap between college students and career opportunities. Traditionally,
employment websites have been used in HR management for finding candidates and in
recruitment. This work is based on a job portal built for one of the leading engineering campuses
of Nepal, Pulchowk Campus, which is a variation of such job boards designed specifically to
serve the students of the Campus. With services like job recommendations to students based on
their skills, and candidate filtering to assist companies in candidate matching, the system is
expected to be of use for both students for exploring jobs, and companies to find potential
candidates suited for the job.

 Vijay Yadav(2019),

This paper presents a designing of a web based system for Career Guidance and Employment
Management System (CGEMS). Basically, CGEMS is tries to help a user who is looking for
career advice guidance, or looking for their opportune job.

CGEMS tries to make one place where student, job seeker, career advisor or consultant, and
various company or organization can meet and help. In order to help the users to determine their
best career choice, this system also offers some tests or quizzes that are related to such career and
the user personality which will be useful for the career path. Furthermore, users of CGEMS such
as company or organization can post a job description, when they look for employee.

 Vivek Kumar Sehgal (2013),

In the current scenario, there is a rat race in each and every professional field. It is also true for
job market. A job portal is a website dedicated for online information about recruiters as well as
job seekers. A job portal helps both the job seekers and recruiters finding the right organization
for the employees. In the case of job seekers, according to their educational qualification,
experience and their preferences, the job portal shows the list of companies to the job seeker.
And, to the recruiters, provides the suitable candidates from a pool of lacks. The objective of this
application is to develop a system to enable interaction between employers and applicants. The
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 241

determination is to allow communication between the interested parties and complete the task of
recruitment quickly.

 Marjan Mansourvar and Norizan Binti Mohd Yasin (2014),

“Dreams Job” is an online Job Search Portal, a web application through which job seekers can
register and apply for jobs. Through this portal employers can also post their jobs and review
applications. The traditional recruitment systems are time taking and costly. A job seeker must
find jobs through advertisements, college fairs, job fairs etc., and the employers must put in much
effort to find the right candidate for a vacant position. This application addresses such
shortcomings and is a convenient platform for both job seekers to find and apply for jobs and for
employers to post jobs and review applications with much ease. Candidates can search for jobs in
any field through advanced search capabilities. They can upload their resumes to this application
which is stored for future use also. Employers can download these resumes and post/delete job
positions. The admin controls this portal and makes the decision about companies and jobs that
can access/appear in this portal. Candidates and Employers can use this portal without any
geographical barrier, from any part of the world. This application is also developed by using
some cutting-edge technologies that are in great demand in the IT industry today. Some of them
are NodeJS, AngularJS, Sequelize ORM, etc.

 Keethana Kopuri, Gulam Mujtaba Hussain Aqueel (2017),

A job portal helps both the job seekers and recruiters finding the right organization for the
employees. In the case of job seekers, according to their educational qualification, experience and
their preferences, the job portal shows the list of companies to the job seeker. And, to the
recruiters, provides the suitable candidates from a pool of lacks.

The objective of this application is to develop a system to enable interaction between employers
and applicants. The determination is to allow communication between the interested parties and
complete the task of recruitment quickly.

 PAVAN P APARANJI, JAI PRAKASH TRIPATHI (2018),

As cross-sectoral categories such as green jobs, ethical jobs and seasonal work. Users can usually
submit their resumes and send them to potential employers and recruiters for review, while
employers and recruiters can post job postings and search for potential employees. Niche job
directories begin to play a bigger role in providing jobs and employees with more goals for the
candidate or employer. Employment Councils, such as For example, airport jobs and federal jobs
provide a very specific way to eliminate and reduce the time for the most appropriate

2. PROBLEM STATEMENT
 Architecture Diagram

Naukri.com”, “Shine.com”, etc. brought the revolution of transforming traditional way of job
search into technological advancement called “Online job Portal”. Initially, less number of
trusted clients and improvement through advertisements and branding. Job recruitment links are
provided only through Whatsapp group. Candidate have to upload resume for each drive. Any
training given by company which was followed through circular mode.
242 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

 Job Analysis

Traditional Job Analysis as a means to find a framework for many human resource
practices. Traditional Job analysis is a time consuming process that is often focused more on the
past and less on the behaviours we want to encourage today in employees.

 E – Job Portal

It is a platform that joins recruiters and the job seekers to complete their goals and requirements.
Recruiters look for a right candidate who has the right qualification to handle the responsibilities
efficiently.

Simple and professional GUI for users of all qualification groups. Increased filtering for
employees seeking job as a Fresher Or as an. Experienced individual. All the recruitment
intimation provided in the website. Student can register all the recruitment drive using this
website. Candidate also upload cv, which is use for further drive. Recruitment results also
published. Student can register for training.

To improve the efficiency of verifying multiple tasks, we further extend our mechanism to
support batch student. There are two interesting problems we will continue to study for our future
work. One of them is traceability, which means the ability for the group manager to reveal the
identity of the signer based on verification metadata in some special situations.

Figure:1

3. EXPERIMENTS AND RESULTS

 Modules
The The project “FX Job Recruitment” consists 5 modules for optimizing education system.

1) User and Admin Accounts

2) Mentor
3) Students
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 243

 USER AND ADMIN ACCOUNTS

This module was build to manage the user registration, user authentication, Admin interface, user
login and successful logout from the application. The user details are enrolled into the database
with a registration form. Login form interfaces with the user to get the username and password,
and authenticates the valid user. Admin accounts are managed with the MySQL Admin Interface.
After logout of the user, the web application redirects to the Home page.

 Mentor

This module was created for the Mentor to give information about the Job Recruitment. The
Mentor, will upload the drive and training details into the database, which can be accessed by the
authenticated users. The Mentor can view the students details who are all apply for the drive as
well as training. The Mentor can download the students cv through this Mentor know who are the
candidates are apply for the drive. The Mentor can revocation the students from the group. After
the completion, of the drive and training, Mentor can delete the details of the file.

 Student

This module allows the student apply for the drive and training. The students can access the
drive and training details. The students can View which are all the drive are held today. The
students can register for the drive by uploading the cv. The students can View all the OFF-
Campus drive.

Output Screen

Figure: 2 Admin Login

244 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure: 3 Administrator Access

Figure : 4 Group Creation

International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 245

Figure : 5 Registration Form

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Figure: 6 Choose File

Figure :7 Deletion Page

 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 247

Figure: 8 Group Validation

Figure: 9 User Revocation

PERFORMANCE ANALYSIS

The existing and proposed system are analysed. The problems can be easily rectified with this
concept. Nearly 70% of the performance has been increased.

4. CONCLUSION
The design a secure data sharing scheme, job for dynamic groups in an un trusted cloud. In job, a
user is able to share data with others in the group without revealing identity privacy to the cloud.
Additionally, job portal supports efficient user revocation and new user joining. More specially,
efficient user revocation can be achieved through a public revocation list without updating the
248 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

private keys of the remaining users, and new users can directly decrypt files stored in the cloud
before their participation. Moreover, the storage overhead and the encryption computation cost
are constant. Extensive analyses show that our proposed scheme satisfies the desired security
requirements and guarantees efficiency as well.

5. FUTURE ENHANCEMENT
This paper, I propose a secure data sharing scheme, named job portal, for dynamic groups in the
cloud. By leveraging group signature and dynamic broadcast encryption techniques, any cloud
user can anonymously share data with others. Meanwhile, the storage overhead and encryption
computation cost of our scheme are independent with the number of revoked users. In addition,
we analyse the security of our sc. We would like to add online preliminary exam and interview.

REFERENCES

[1]. Marjan Mansourvar and NoZrizan Binti Mohd Yasin, “Development of a Job Web Portal to Improve
Education Quality”, 1, February 2014.
[2] Pooja T. Killewale, Prof A.R. Mune, “A Review on: Job Portal - A Web Application for clients”, May
2017
[3] Gulam Mujtaba Hussain Aqueel, Azbar Sadiqa Jabeen, “A Online Job portal management system”,
February 2017.
[4] PAVAN P APARANJI, JAI PRAKASH TRIPATHI, “REVIEW OF JOB PORTAL IN
RECUIREMENT”, January 2018.
[5] G. Adomavicius, and A. Tuzhilin, “Toward the Next Generation of Recommender Systems: A Survey
of the State-of-the-Art and Possible Extensions,” IEEE Trans. Knowl. Data Eng. , pp. 734- 749,2005.
[6.] G. Linden, B. Smith, and J. York, "Amazon.com Recommendations: Item-to-Item Collaborative
Filtering," Published by the IEEE Computer Society, IEEE Internet Comput., vol. 7, no.1, pp. 76-80,
2003.
[7] S. Lanning, and J. Bennett, "The Netflix Prize," in ACM digital library, San Jose, California, USA,
August 12, 2007.
[8] J. Malinowski, T. Keim, O. Wendt, and T. Weitzel, “Matching People and Jobs. A Bilateral
Recommendation Approach,” Proceedings of the 39th Hawaii International Conference on System
Sciences, Kauia, HI, USA IEEE, January 23rd , 2006.
[9] I. Paparrizos, B. Cambazoglu, and A. Gionis "Machine Learned Job Recommendation," RecSys '11
Proceedings of the fifth ACM conference on Recommender systems, Chicago, Illinois, USA, pp. 325-
328, October 23–27, 2011.
[10] B. R, "Hybrid Web Recommender Systems," The Adaptive Web: Methods and Strategies of Web
Personalization, Verlag Berlin Heidelberg, Springer, pp. 377-408, 2007.
[11] F. Cacheda, V. Carneiro, D. Fernández, and V. Formoso "Comparison of collaborative filtering
algorithms: Limitations of current techniques and proposals for scalable, high-performance
recommender systems," ACM Trans., vol. 5, no. 1, New York, NY, USA February 2011.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 249

AUTHORS

Mr. K.Venkatesh Prabu doing final year MCA in Francis Xavier Engineering
College

Mrs. Sujitha working as Assistant Professor in the Department of Computer

Applications, Francis Xavier Engineering College. Her area of interest is Wireless
Sensor networks

Muppidathi@Priya doing first year MCA in Francis Xavier Engineering College

250 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

ONLINE ALMA DEVELOPMENT

K.Venkatesh Prabu1 and S.Sujitha2 M.Muppidathi@Priya
1
Department of Computer Application, Francis Xavier Engineering College
2
AP Department of Computer Application, Francis Xavier Engineering
College
3
Department of Computer Application, Francis Xavier Engineering College

ABSTRACT
In our project graduates are our finest ambassadors and we are proud to count captains of
industry, senior scientists and successful sports people among their number. Institute of
Technology and Sciences ALUMNI ASSOCIATION links graduates and their alma mater.
Membership of is free and automatic for all graduates and enables them to maintain a life-
long relationship with their college. Graduates also benefit from a wide range of services
including class reunions, alumni newsletter, souvenir gift items, alumni ID cards and
access to a variety of alumni chapters around the world. With an office on campus This is
also responsible for coordinating an online community for alumni worldwide, providing a
unique opportunity to connect with other graduates via the Website. In our project
graduates are our finest ambassadors and we are proud to count captains of industry,
senior scientists and successful sports people among their number. Institute of Technology
and Sciences ALUMNI ASSOCIATION links graduates and their alma mater. Membership
of is free and automatic for all graduates and enables them to maintain a life-long
relationship with their college. Graduates also benefit from a wide range of services
including class reunions, alumni newsletter, alumni ID cards and access to a variety of
alumni chapters around the world. With an office on campus This is also responsible for
coordinating an online community for alumni worldwide, providing a unique opportunity to
connect with other graduates via the Website Alumni can communicate to the students
regarding job opportunities and the students can share the department technology activities
to the alumni. The alumni and the student can communicate only through the admin
permission. A system that will be able to manage alumni data of a college and provide easy
access to the system. Final year students will be initially given a student login ID. Access to
the system can help them in building connections to their projects or for placements. The
system will automatically list all Alumni information their graduation and their status will
be transferred from the student module to the alumni module.

KEYWORDS
Alumni, Information Technology.

1. INTRODUCTION
The aim of our project is to make placement to each and every student so that no one in our
college is unemployed so that we make our own student as safe guard for their student and to
help their junior to get placed in their own company The main objective of this website is to
enable the students to get ideas through Alumni and they can share their own Experience.The
Alumni can help the students by providing guidance supports for their juniors It can encourage,
promote and facilitate placement activities among students. While the implementation outcomes
found very compatibility and reasonable in wide extents between available data and system

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 251-257, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100228
252 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

requirements. The main objective of this website is to enable the students to get ideas through
Alumini and they can share their own Experience. The Alumini can help the students by
providing guidence supports for their juniors It can encourage, promote and facilitate placement
activities among students. While the implementation outcomes found very compatibility and
reasonable in wide extents between available data and system requirements. JONATHAN
OLORES ETCUBAN of University of Cebu Philippines says Databases for alumni are vital to
every learning institution. The data and information are needed by the school to communicate,
verify, archive and research the alumni. These are also used to validate the gap between the
knowledge and skills possess by the graduates and the required qualifications needed by
industries. Subashini.S , Sowndarya.A Department of Information Technology
Prathyusha Engineering College, Thiruvallur Tamil Nadu – India had made a Alumni site
research in that they has says that A system that will be able to manage alumni data of a college
and provide easy access to the same. The alumni will also be interested to maintain relations
with their institutions. Alumni can communicate to the students regarding job opportunities and
the students can share the department technology activities to the alumni. Akeem Olowolayemo
Dept of Cognitive Science, Faculty of Cognitive Science & Human Development, University
Malaysia Sarawak, Malaysia. Make research of University Based Job Recommender &
Alumni System With the advancement in technology, job seekers who among them are fresh
graduates will tend to use erecruiting to find opportunity and apply for jobs. One of the desires
of any university is to be able to track the employability of their graduates. After graduating,
they often require their graduates to fill an online system prepared by the university which
functions to know whether they are getting jobs and to records their jobs details in order to
analyze the university’s graduate’s employability. Teddy Mantoro Department of Computer
Science, Faculty Science and Technology, Sampoerna University Jakarta, Indonesia says This
work aims to propose a system that enables university to track their graduate students’ job
information via a collage site. It also had a feature for students who have not secure a job
position or wish to change their job to apply for available job opportunities after graduating.
The profile of each student in the application is auto-created from information extracted from
graduating students’ file from university database which the student can then customize to
include their job status. Kamaleiah Harun Dept of Cognitive Science, Faculty of Cognitive
Science & Human Development, University Malaysia Sarawak, Malaysia The study aimed to
design and develop an alumni database of the University of Cebu that would provide solutions
to problems in tracing alumni. The proposed system would enable users to register as well as
generate information for the purpose of tracing the whereabouts of the alumni. The descriptive-
developmental method was utilized, and two sets of researchers made questionnaires were
administered to 95 respondents.

The second section discuss about the literature review and continued by problem statements.
The fourth section gives the experiments and results followed by the conclusion and future
enhancement.
.
2. PROBLEM STATEMENT
Architecture Diagram

Existing system is a manual one in which users are maintaining documents paper work to store
the information like colleges details, student details. It is very difficult to maintain historical
data. It is difficult to maintain important information in documents paper work.More manual
hours need to generate required reports. It is tedious to manage historical data which needs
much space to keep all the previous years, ledgers, documents paper work.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 253

The design and implementation of the ALUMNI Dashboard system will be available for general
public use through the web interface. A non- registered visitor can look at the list of graduates
according to year of graduation or a field of study. He can also look at graduates profiles. The
level of profile details shown to the public is limited. By default, a public visitor can only see
name and surname of a graduate, year of graduation and a field of study. The faculty endeavors
to propagate its graduates. Therefore graduates can also add some information about themselves
into the system during the study such as working experience, knowledge. Graduates can enable
to display this information in their profiles for public visitors.Keyword: Alumni, System,
Student, Management, Dashboard,Find Alumini .

Figure :1Architecture Diagram

3. EXPERIMENTS AND RESULTS

Modules

The Discovery Alumni: Its shows the notable alumni’s and also Search for an particular
alumni by their jobs, search by Events and View all the daily’s News and Stories Find alumni
and they can invite their friend

Job Reference: Students can see their Alumni job Details ,Location It make them to maintain
smooth relationships and get job in alumni company’s

Prominent Member: Popular alumni in the good company are remain here you can collect
some good knowledge and get placed in their company’s

Chats: In this the students at the current Placement drive can Make suggestion from there
Aluminize

Placements: Here we provide the detail of the company by their suitable qualification And
also provide Training for all the company in common and all the preview year question for
reference Internship for student will be provided by our placement cell Details of our college

Management: Provide details of chairman management and Details of finance committee

254 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Admin: Admin can only add and view all the information of our students They can add all the
details of company’s adding member to site only by the admin

Contact us: We provide our all our management contact by mail and also by phone number so
that admin can only view the review by the student

Database collection:-The data collector is a core component of the data collection platform
for SQL Server and the tools that are provided by SQL Server. The data collector provides one
central point for data collection across your database servers and applications. This collection
point can obtain data from a variety of sources and is not limited to performance data, unlike
SQL Trace. The data collector enables you to adjust the scope of data collection to suit your test
and production environments. The data collector also uses a data warehouse, a relational
database that enables you to manage the data that you collect by setting different retention
periods for your data. The data collector supports dynamic tuning for data collection and is
extensible through its API. For more information, see Data Collector Programming.

Output Screen

Figure:2 Home Page

Figure:3 Login Page

 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 255

Figure:4 Registration Form

Figure:5 Website

PERFORMANCE ANALYSIS

The existing and proposed system are analysed. The problems can be easily rectified with this
concept. Nearly 70% of the performance has been increased.

4. CONCLUSION
This system will be available for general public use through the web interface. A non-registered
visitor can look at the list of graduates according to year of graduation or a field of study. He
can also look at graduates profiles. The level of profile details shown to the public is limited. By
default, a public visitor can only see name and surname of a graduate, year of graduation and a
field of study. The faculty endeavors to propagate its graduates. 2) Therefore graduates
can also add some information about themselves into the system during the study such as
working experience, knowledge. Graduates can enable to display this information in their
profiles for public visitors. Inserted information can be used as an input for generating
graduate’s curriculum vitae in pdf format, which I provided automatically. It is in a graduate’s
competence, which information will be searching pages with their crawlers. A graduate can use
it for the building of his virtualweb identity on the internet.
256 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

5. FUTURE ENHANCEMENT
The future scope of this project is implementing application should be user friendly with
accurate Company details. And also, changes can be made by providing some provisions to
accept different kinds of Sector implementing the QR code technique. The review may given by
the user once they can able to place in a MNC, after that they can be able to give same set of
help to their Junior

REFERENCES

[1] Baaken, T., & Kliewe, T. (2012). Creativity techniques using online facilities. Retrieved on March
13, 2013 from http://goo.gl/Fr2yU0
[2] Barnard, Z. (2007). Online community portals for enhanced alumni networking (Doctoral
dissertation, University of Johannesburg). Retrieved on April 2013 from
http://152.106.6.200/handle/10210/851
[3] Davidson-Shivers, G. V., Inpornjivit, K., & Sellers, K. (2004). Using alumni and student databases
for program evaluation and planning. College Student Journal, 38(4), 510. Retrieved on May 25,
2013 from https://google/Ghonjl.
[4] N. Barnes , A. Lescault, 2011, Social media adopion soars as higher-Ed experiments abd reevaluates
its useod new communication tools
http://www.umassd.edu/cmr/studiesandresearch/socialmediaadoptionsoars/
[5] G. Crisp, I. Cruz, Mentoring College Students: A Critical Review of the Literature Between 1990
and 2007, Research in Higher Education, 525-545.
[6] ABET (2009). Criteria for accrediting computer programs: Effective for evaluations during the
2010-2011 accreditation cycle. Baltimore: ABET, Inc. Retrieved January 2010, from
http://abet.org/uploadedFiles/Accreditation/Accreditation_Process/Accreditation_Documents/cac-
criteria-2010-2011.pdf, 2-3.
[7] Research: Principles, Methods, and Practices (Second Ed.), Tampa, FL: Global Text Project.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 257

AUTHORS

Mr. K.Venkatesh Prabu doing final year MCA in Francis Xavier Engineering
College

Mrs. Sujitha working as Assistant Professor in the Department of Computer

Applications, Francis Xavier Engineering College. Her area of interest is Wireless
Sensor networks

M.Muppidathi@Priya doing first year MCA in Francis Xavier Engineering

College
258 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

DEFENDING VIRTUAL GROSS SYSTEM

FROM SOFTWARE GUSTY

A.SUBASH1 AND SAHAYA JENITHA2 ALLEN STEVE3

1
Department of Computer Application,Francis Xavier Engineering college
2
AP.Department of Computer Application,Francis Xavier Engineering
college
3
Department of Computer Application,Francis Xavier Engineering college

ABSTRACT
The aim of our project is to build a secure Web Application platform for auditing. The
auditee uploads their financial records to the platform and the uploaded records can only
be accessed by an authorized auditor. The data integrity is ensured by using
cryptography. We can prevent malware like Trojan. The data will be in an encrypted
format. Even if a hacker manages to get his hands on the data, it cannot be exploited.

KEYWORDS
Network Protocols, Mobile Network, Virus, Trojon

1. INTRODUCTION
To evaluate the proposed secure communication frame-work, a set of studies have been
conducted, a discrete event-driven network simulator built with java. In real time auditing
application there is a major drawback in security side because of illegal advertisement run on the
app with owner permission on that same time Trojan malicious should be injected on the system
by hackers to avoid this we can secure the applications confidential details by using our concept.
Researchers have proposed a broad range of defense strategies against XSS attacks. Park and
Sandhu’s [36] cookie-securing mechanism can be adopted to eliminate XSS, but it requires
explicit modifications to existing Web applications. Scott and Sharp [50] have proposed using
gateways for filtering malicious input at the application level. In addition to preventing XSS, the
gateway also prevents SQL injection—another widespread Web application vulnerability. Next,
we describe how information flow testing is performed in order to identify XSS vulnerabilities,
and then report our results from two experiments. In experiment 1, we installed and scanned five
Web applications that were found vulnerable by WebSSARI, and a) compared testing coverage
with WebSSARI (static verification), and b) studied the results of our proposed non-detrimental
scanning techniques and their impact on testing coverage.The second section discuss about the
literature review and continued by problem statements. The fourth section gives the experiments
and results followed by the conclusion and future enhancement.

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 259-267, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100229
 260 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure 1:Architecture diagram

2. PROBLEM STATEMENTS

Modules

 Economic feasibility : The proposed system is economically feasible because the cost involved
in purchasing the hardware and the software is within approachable. Working with this system
need not require a highly qualified professional. The operating-environment costs are marginal.
The less time involved also helps in its economic feasibility.

 Technical feasibility : Earlier no system existed to cater to the needs of ‘Audit Business
Information’. The current system developed is technically feasible. It is a browser based user
interface for construction workflow. Thus, it provides an easy access to the users.

 Social Feasibility : The analyst considers the extent that the proposed system will fulfill his
departments. That is, whether the proposed system covers all aspects of the working system and
whether it has considerable improvements. We have found that the proposed “Trojan Security”
will certainly have considerable improvements over the existing system.
 261

3. EXPERIMENTS AND RESULTS

Output Screen

Figure 2:Admin page

Figure 3:login page

262 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure 4:Registration page

Figure 5:Request page

 263

Figure 6:Server page

Figure 7:Upload page

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Figure 8:Response page

Figure 9:Key Request page

 265

Figure 10:Login page

Figure 11:List page

4. PERFORMANCE ANALYSIS
The existing and proposed system are analysed, The problem identified in existing is Because
declarative security always appears at the beginning of the application element, it's easier to find
the security settings. That makes it a better option from a documentation perspective This
assumption has prevented them from automating nearly , 70% performance has been increased.

5. CONCLUSION
In this application, we have presented followed by the basic framework for message encryption
and mutual auditing as the interlinked upstream and downstream stages. We have mainly
implemented by the all data’s converted by the encryption method, all the data secured and
266 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

efficiently delivered by the customers side. Privacy will be increasingly important, as our society
become more networked and data about individuals are increasingly digitalized. Such a tool has
several potential applications. Experimental results showed that the proposed security framework
effectively precluded hardware Trojan collusion. It only imposed constant low overhead on
communication latency, with negligible impact on packet arrival rate and network throughput.
The only major overhead was the cost of utilizing nodes from extra vendors, which could be
mitigated by wisely deploying the network.

REFERENCES

[1] M. Tehranipoor and F. Koushanfar, “A survey of hardware Trojan taxonomy and detection,”
IEEE Des. Test Comput., pp. 10–25, 2010.
[2] Swarup Bhunia; Miron Abramovici; Dakshi Agrawal; Paul Bradley; Michael S. Hsiao; Jim
Plusquellic; Mohammad Tehranipoor,"Protection Against Hardware Trojan Attacks:
Towards a Comprehensive Solution,"Published in: IEEE Design & Test in 2013.
[3] Veronika Reinauer; Christian Magele; Christian Scheiblich; Andrej Stermecki; Remus
Banucu; Jan Albert; Michael Jaindl and Wolfgang M. Rucker,"Object-Oriented
Development of an Optimization Software in Java Using Evolution Strategies,"Published in:
IEEE Transactions on Magnetics in 2012.
[4] H. Salmani, M. Tehranipoor, and J. Plusquellic, ‘‘A novel technique for improving hardware
Trojan detection and reducing Trojan activation time,’’ IEEE Trans. Very Large Scale
Integr. (VLSI) Syst., vol. 20, no. 1, pp. 112–125, Jan. 2011.
[5] Swarup Bhunia, Michael S. Hsiao, Mainak Banga, Seetharam Narasimhan, "Hardware
Trojan Attacks: Threat Analysis and Countermeasures", Proceedings of the IEEE, vol. 102,
no. 8, pp. 1229-1247, 2014.
[6] Andrews, A., Offutt, J., Alexander, R. “Testing Web Applications by Modeling with
FSMs.” Submitted for publication, January 2004.
[7] Bell, D. E., La Padula, L. J. “Secure Computer System: Unified Exposition and Multics
Interpretation.” Tech Rep. ESD-TR-75-306, MITRE Corporation, 1976.
[8] Bertolino, A. “Knowledge Area Description of Software Testing,” In Guide to the Software
Engineering Body of Knowledge SWEBOK (v. 0.7), Chapter 5, Software Engineering
Coordinated Committee (Joint IEEE Computer Society-ACM Committee), April, 2000.
http://www.swebok.org
[9] Benedikt M., Freire J., Godefroid P., “VeriWeb: Automatically Testing Dynamic Web
Sites.” In Proc. 11th Int’l Conf. World Wide Web, Honolulu, Hawaii, May 2002.
[10] Bergman, M. K. “The Deep Web: Surfacing Hidden Value.” Deep Content Whitepaper,
2001.
 267

AUTHOR

A,Subash doing final year MCA in Francis Xavier Engineering College

Mrs. S. Sahaya Jenitha working as Assistant Professor in the Department of

Computer Applications, Francis Xavier Engineering College. Her area of
interest is Wireless Sensor networks

Allen steve E doing first year MCA in Francis Xavier Engineering

College
268 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

ONLINE CAMPUS SELECTION PROCESS

K.Parvathi1 and S.Sujitha2 Allen steve3
1
Department of Computer Application,Francis Xavier Engineering college
2
AP.Department of Computer Application,Francis Xavier Engineering
college
3
Department of Computer Application,Francis Xavier Engineering college

ABSTRACT
The Present digital and technological era has facilitated the college campus recruitment
process towards a manifestation of a vibrant shift in new systems of workforce
engagements. The processes like gathering and compilation of information, filing of records,
and all data related administrative work are done electronically, and therefore, paperwork is
considerably diminished in the new model. Significantly, very less physical campus space is
utilized for interview processes, and overall, consumes minimal time as compared with more
traditional recruiting methods.And the super process excellence techniques is applied in the
corporate with renewed focus on quality, even people recruiting has also been structured as
a online flow system for steady results.

KEYWORDS
Campus requirements, placement port, information regarding companies,

1. INTRODUCTION
Most of the important processes in the institutes are carried out manually such as the registration
of the students, managing huge information about students, faculty members.The project is
beneficial for college students, various companies visiting the campus for recruitment and even the
college placement officer.It provides an easy way for the company to hire candidates and also
provides the facility to candidates to apply for different jobs.This system can be used as an
application for the Placement Officer of the college to manage the student information with
regards to placement. This system can be used as an application to manage student information to
related placement. The system handles student as well as company data and efficiently displays all
this data to respective sides. This System do all work regarding placement like collecting student
records, Authenticate & activate the student profiles, Notifying eligible students via automated E-
mail message, Check the number and percentage of placed & unplaced students. Proper login with
time & role based secured access is provided to Placement Officer, Company, College staff and
students.

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 269-276, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100230
270 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Architecture Diagram

Figure 1:Architecture diagram.

2. PROBLEM STATEMENTS
Modules

 Admin Module : In admin module the admin has to approve the company for to post the
job details in the website.

 Student module : The Student module has to register then only he/she can attend the
exam or apply for the job.

 Company module : Company module can conduct the exam those who are register as
student .they can only attend the exam and apply the job.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 271

3. EXPERIMENT AND RESULTS

Output screen

Figure 1:Login page

Figure 2:Job details page

272 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure 3:Educational qualification page

Figure 4:Apply page

International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 273

Figure 5:Add page

Figure 6:Out page

274 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure 7:Admin login page

4. PERFORMANCE ANALYSIS
The existing and proposed system are analysed,The problem identified in existing is This is the
biggest challenge. If your survey is long and/or confusing you might get fake answers. Since there
is less accountability, the chances for people just hitting buttons to finish are high. Check the
questions you use carefully.People often take surveys because they're promised a reward at the
end, resulting in them not accurately contributing to your study. Certain populations are less likely
to have internet access and to respond to online questionnaires. Drawing samples is harder based
on email addresses or website visitations. lack of a trained interviewer to clarify and probe can
lead to less reliable data.This assumption has prevented them from automating nearly 70%
Performance has been increased.

5. CONCLUSION
In the existing system, maximum work goes manually and it takes time for any changes in the
system. This big problem is the searching, sorting and updating of the student data and no any
notification method available for giving information to student except the notice board. Proposed
system gets automated in the online registration all the user, activation of the user and deactivation
of the user. The admin can see the user information and will validate it, generate the student list on
the basis of company criteria, company details can be provided to the user.

6. FUTURE ENHANCEMENT
In the future we can place the system on the cloud so the maintenance of the data can be reduced.

The students get notified by the SMS or Email if he/she is got selected for the job.And we can use
the system monitoring to detected the malpractice. Admin module to be developed, there by
automating the services of the Admin resulting in continuous flow of records from database.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 275

REFERENCES

[1] NileshRathod, Seema Shah, KavitaShirsat,”An Interactive Online Training & Placement System”,
International Journal of Advanced Research in Computer and Communication Engineering, Vol. 3,
Issue 12,December-2013.

[2] .Mr. R. J. laird, Dr. C. R. turner mima,” Interactive Web based Placement Management – Principles and
Practice using OPUS” CGU-WACE, 2008.

[3] .Hitesh Kasture, SumitSaraiyya, AbhishekMalviya, PreetiBhagat,“Training & Placement Web Portal”,
International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-
8169 Volume: 2 Issue: 3,March-2014.

[4] .Prof. AnaghaKulkarni , PriyankaHajare, PriyankaKhandave , ShitalAdhav,SwatiPimpale,“

Implementation of Online Placement System”, IJERMT All Rights Reserved International Journal of
Emerging Research in Management &Technology ISSN: 2278 -9359 (Volume-5, Issue-1),
January2016.

[5] .Mr R J LAIRD,“ Interactive Web-based Placement Management–Principles and Practice using
OPUS”, School of Engineering, University of Ulster, Shore Road, NEWTOWNABBEY, Co. Antrim,
UK, BT37 0QB, 2008.

[6] NileshRathod, Seema Shah, KavitaShirsat,”An Interactive Online Training & Placement System”,
International Journal of Advanced Research in Computer and Communication Engineering, Vol. 3,
Issue 12,December-2013.

[7] Mr. R. J. laird, Dr. C. R. turner mima,” Interactive Web based Placement Management – Principles and
Practice using OPUS” CGU-WACE, 2008

[8] Hitesh Kasture, SumitSaraiyya, AbhishekMalviya, PreetiBhagat,“Training & Placement Web Portal”,
International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-
8169 Volume: 2 Issue: 3,March-2014.

[9] Prof. AnaghaKulkarni , PriyankaHajare, PriyankaKhandave , ShitalAdhav,SwatiPimpale,“

Implementation of Online Placement System”, IJERMT All Rights Reserved International Journal of
Emerging Research in Management &Technology ISSN: 2278 -9359 (Volume-5, Issue-1),
January2016.

[10] Mr R J LAIRD,“ Interactive Web-based Placement Management–Principles and Practice using

OPUS”, School of Engineering, University of Ulster, Shore Road, NEWTOWNABBEY, Co. Antrim,
UK, BT37 0QB, 2008.
276 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

AUTHORS

K.Parvathi doing final year MCA in Francis Xavier Engineering College

Ms. S. Sujitha working as Assistant Professor in the Department of

Computer Applications, Francis Xavier Engineering College. Her area of
interest is Wireless Sensor networks

Allen Steve E doing first year MCA in Francis Xavier Engineering

College
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

DAWN SYMBO
N.Anna lakshmi1 and P.SahayaJenitha2, T.Marivjayakumar3
1
Department of Computer Applications, Francis Xavier Engineering
College

2AP Department of Computer Applications, Francis Xavier Engineering

College
3
Department of Computer Applications, Francis Xavier Engineering
College

ABSTRACT
The design of the Dawn-Sympo involves the analysis of the internal and external
environment. The main objective of this web application is to enable the students to take
up the test through online and to obtain their results. The student can also refer for their
webinar details through the web application

KEYWORDS
Webinar, events, webmail, admin

1. INTRODUCTION

Nowadays several organizations are interested in conducting symposiums and workshops

amongst students and professionals. Such kind of events help people to develop their knowledge
in wide area and also it boosts up their domain knowledge. Conducting an event successfully
relies on the talent possessed by the organizing committee. It includes various stages like
registration, submission, review, schedule, result announcement etc. All processes within the
Symposiums are recorded on database so every participant can closely monitor the activities
related to their respective roles, and that fits for authors, section coordinators, reviewers and
website management. Literature study carried out by searching existing freely available reports
reveal that, number of interested institutions(colleges) are increasing rapidly. Dawn Sympo will
be flexible, easy to use,and has many features to make it suitable for various symposiums.

2. PROBLEM STATEMENT
A. Existing System

Education is the imparting and acquiring of knowledge through teaching and learning, especially
at a school or similar institution. The earliest educational processes involved sharing information
about gathering food and providing shelter; making weapons and other tools; learning language;
and acquiring the values, behavior, and religious rites or practices of a given culture. Before the
invention of reading and writing, people lived in an environment in which they struggled to
survive against natural forces, animals, and other humans. To survive, preliterate people
developed skills that grew into cultural and educational patterns.

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 277-287, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100231
278 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Education developed from the human struggle for survival and enlightenment. It may be formal
or informal. Informal education refers to the general social process by which human beings
acquire the knowledge and skills needed to function in their culture. Formal education refers to
the process by which teachers instruct students in courses of study within institutions.

B. Proposed System

The intention of this project is to make the education more efficient to resolve the overheads of
traditional and modern education systems. The developed web application streams the videos of
past-class, pre-class, and screen content lectures. Also, it enables the students to extract the web
content in a relevant pattern. The admin of this web application will be the lecturer, who can do
upload of video lectures and screen contents. The students can listen to the contents and may utilize
the feature of web information retriever to extract relevant data. This ideology combines the best
practices of both traditional and e-learning system.

C. Architectural Diagram

Figure-1 Architectural Diagram

 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 279

3. EXPERIMENTS AND RESULTS

Module

A. Home

 The home page consists of all information about the events in an specified manner.
 The Login module allow the user to login with the registered emails

B. Events

 This module explains about all the events to be handled in terms of both technical and
non-technical.
 The user can register for the event which they are preferred for through this module.
 This module explains about the timings of when an particular event to be conducted.

C. Take up rest

 This module enables the user to take their test through online with timer.
 Enables the immediate score evaluation of a test.
 The venue is also displayed along with the score.

D. Webinar

 This module is handled by the admin in which the user can be able to know about the
webinar events which are to be held in future.
 The user can know about the project innovative ideas through this module.

E. Webmail

 In this module, the user can raise their query and send feedbacks through their mail.
 It enables Admin to known about the feedbacks given by the user of the event handled.

F. Report

 In this module the report can be generated regarding all the events happened throughout
the application.
 The report can be shared through other sources in a file format.

G. Contact us

 In this module the user can know for additional functionality such as phone number,
Location.
 The multimedia contacts can also been view through this module.

H. Admin

 This module checks for all the user registered for an event and specifies about the
webinar event to be handled.
 It enables to control the operations of server and manage all the user details.
280 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

PERFORMANCE ANALYSIS

The Existing and proposed system are analysed. The problem is identified. The intention of this
project is to make the education more efficient to resolve the overheads of traditional and modern
education systems. Nearly 70% performance has been increased.

Output Screen

Figure-2 Login page

International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 281

Figure-3 Home Page

Figure-4 Event Registration (User Side)

282 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure-5 Events Registration

Figure-6 Webinar (user side)

International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 283

Figure-7 Webmail (User)

Figure-8 Contact us
284 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Figure-9 Event creation (Admin)

Figure-10 Take Test (admin)

International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 285

Figure-11 Webinar

Figure-12 Report
286 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

4. CONCLUSION
This web application enables to store the user details and helps of conducting events through
online of user registering and being login in to their account and they get registered through their
events and they take up their test through online and they share their valuable feedback. Thus,
enable the valuable feedback been visible to both the user and the admin and through the contact
details they enable them to know their details of their location.

5. FUTURE ENHANCEMENT
In future, this application can be featured comment boxes or group chat, so that students who
hesitate to ask doubts in the classroom, may rise their doubts in the web application. Also,
assignments can be posted by lecturer and the work of students can be monitored frequently via
the application. Assessments like Quiz, learning agility test, etc., can be established in the
applications.

REFERENCE

[1] Chao, S. and Reddy, Y.B. (2008). Online Examination. Proceedings of the Fifth International
Conference on Information Technology: New Generations, 1266-1267.
[2] Hang, B. (2011). The Design and Implementation of On-Line Examination System. Proceedings of
the 2011 International Symposium on Computer Science and Society, 227-230.
[3] Jun, L. (2009). Design of Online Examination System Based on Web Service and COM. Proceedings
of the 2009 First IEEE International Conference on Information Science and Engineering, 3276-
3279.
[4] Lu, H. and Hu, Y. (2012). The Design and Implementation of Online Examination System Based on
J2EE. Proceedings of the 2012 International Conference on Industrial Control and Electronics
Engineering, 93-95.
[5] Meletiou, G., Voyiatzis, I., Stavroulaki, V., and Sgouropoulou, C. (2012). Design and Implementation
of an E-exam System Based on the Android Platform. Proceedings of the 2012 16th Panhellenic
Conference on Informatics, 375-380.
[6] Persis Urbana Ivy, B., Shalini, A., Yamuna, A. (2012). WebBased Online Secured Exam.
International Journal of Engineering Research and Applications, 2(1), 943-944.
[7] Sarrayrih, M., & Ilyas M. (2013). Challenges of Online Exam, Performances and Problems for
Online). University Exam. IJCSI International Journal of Computer Science Issues, 10(1).
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 287

AUTHORS

N.Annalakshmi doing final year MCA in Francis Xavier Engineering

College

Mrs. P.SahayaJenitha working as Assistant Professor in the Department

of Computer Applications, Francis Xavier Engineering College. Her area
of interest is Wireless Sensor networks

Mr.T.Marivijayakumar doing first year MCA in Francis Xavier

Engineering College
288 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

ONLINE AUCTION SYSTEM

S.Kokila1 and J.AbalinLuther 2 T.Marivijayakumar3
1
Department of Computer Application, Francis Xavier Engineering College
2
AP Department of Computer Application, Francis Xavier Engineering
College
3
Department of Computer Application, Francis Xavier Engineering College

ABSTRACT
Online auctions are now an immensely popular component of the electronic
marketplace.Online Auction management system is a web based application which will help
users to buy or sell item.This application will allow users to post their products for auction;
bidder can register and can bid for any available product around their location.It is
developed with the objective of making the system reliable, easier and fast and to sell or
order the products on the website from our house.The online auction system is based on the
concept where a product is valued for the highest price.In most online auctions, the
products listed for an auction are located away from the bidders location.In our auction
system, the bidders or buyers can view the products in auction process which is located
around his surroundings.So that the bidder or buyer can participate in auction for his
nearby products.

KEYWORDS
Online auction; reliable ; highest price; nearby products; bid.

1. INTRODUCTION
The internet has become a very important aspect of life today. The rate at which this large
population is seeking to buy items is also on the rise, as many people are seeking advanced and
ideal routes of trading services. Some people spend a lot of money on transportation, using a lot
of time of which at the end of the road they might lack to get the desired items which they opted
for. It is open that most of the people are seeking to buy items every day in most cities and
towns, both locally and abroad, desperate if they might get a solution or a right person to deliver
a solution to them. These people end up settling at items or service providers who are fraud or
who sell illegal and fake items to the desperate buyers.

There are legit business people and store owners who have quality items in the locality of the
auctioneer, but they do not meet for business because the auctioneer is not informed about the
items available. This is a great frustration in deed! This project shall handle this issue by
creating an online platform where a user will be able to post items online for auction. The items
will accompany item name, selling price, and a picture presentation for the bidder to see. The
bidder, if interested in the item, will make the auction for the product and will be able to inspect
the item physically to make an approvement about the product then complete the business with
the seller. People are always on the go to their renown product supplier, or nearby market center
or at times a local hawkers, who goes on to supply items and at times when he cannot get the
item the buyer wants, mostly they give their hands to get them items and at times they mess and
bring fake and quarks deliver stolen and bad items. This is because unqualified people offer

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 289-296, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100232
290 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

delivery of items to customers. Due to the disparity of the buyers, scammers have always taken
the advantage to offer item delivery to the customers. Many fake items have found their way
into the hands of the people, or buyers remain in the same condition of lack, as they don’t get
the correct products from the sellers. Sometimes buyers struggle to find the right items, in
failure, and they seek to get back to their homes.[4] The customers will be assured of getting the
right products, since they will take their time to analyses and compare a range of listed items and
choose appropriately according to their need or desire.This will save time that buyers take in
search of items and therefore they will save themselves from worsening of conditions which
may lead to wastage of time conditions. This will also save money that is spend around
travelling and bidding for the undesired items.

2. PROBLEM STATEMENTS
A. Existing System

The process of an online auction is much the same as a live auction. This means that users place
bidsfor items, and the goods get sold to the highest bidder.

In existing online auction systems, they allow users for bidding but the product is not available
in bidder’s local area.Then, in most online auctions they get the card details during bidding
process which leads to privacy issues.

B. Proposed System

This online auction system lists the products to the registered users according to his location and
so the bidders can bid to his nearby available products. The card details is asked only to the
users who have won the auction process.

C. Architectural Diagram

Figure-1 Architecture Diagram

 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 291

3. EXPERIMENTS AND RESULTS

Module

A. Admin

This module was build to manage the auction process, user details and acts as a admin interface.
Admin is capable of adding new location into the portal so that all the registered users can make
use of the location.Sellers can sale products in that location and the bidders can select the
location and make bids.The overall auction process is maintained by the admin. The registered
users list can be viewed by the admin.

B. Bid

This module allows the bidders to make bid for any product.A registered bidder logs into the
system and select the curent location. All the products under the selected location is shown and
then the bidder can make bid for any interested product.After the auction ends, the bidder is
capable of viewing the bidding status whether the auction of that product has been won or lost.

C.Sell

This module is used by the sellers to sell their products in auction. The seller uploads the
product in their current location.Seller can view all the bids that has been made for isproducts.
Then seller accepts the highest bidder and rejects other bidders.

D. Auction

This module enables bidders about their auction history and bidding status of auctioned
products. The sellers finalize the auction status for their own products according to the amount
bided by bidders. The highest bidder is accepted and others are rejected in this module.

PERFORMANCE ANALYSIS

The Existing and proposed system are analysed. In existing online auction systems, they allow
users for bidding but the product is not available in bidder’s local area. This online auction
system lists the products to the registered users according to his location and so the bidders can
bid to his nearby available products.Nearly 70% performance has been increased
292 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Output Screen

Figure-2 Registration

Figure-3 Login
International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 293

Figure-4 SellProduct

Figure-5 Menu
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Figure-6 Products available for auction

Figure-7 Bidding Status

 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 295

4. CONCLUSION
Online auction has made the interested bidders from being physically present in auction
houses. The auction website provides variety of products online which gives many choices to
the bidders to select the product of their interest. The products are placed according to their
location.

5. FUTURE ENHANCEMENT
Online Auction System has made consumers more effective and efficient in their behaviour and
has driven businesses to a new level. Though the buyers can view his status in our website, they
are not notified when he won the auction.So further notifications like email and SMS can be
made as future enhancements.

REFERENCE

[1] Manasi Bhamare , Arati Chame, Gaurav More Prof. Amol Rindhe ,” Online Auction”.
[2] Geetanjali Sawant , Ganesh Bane , Akshay Gurav , Swaraj Pawar, “Survey on Online Auction
System”.
[3] Nazia Majadi ,Jarrod Trevathan, Neil Bergmann’s uAuction: Analysis, Design and Implementation
of a Secure Online Auction System
[4] Rashesh G Chothani , Punit R Patel , “A Review of Online Auction and It's Pros and Cons “.
[5] Rodel Balingit, Jarrod Trevathan and Wayne Read, “Analysing Bidding Trends in Online Auctions”.
[6] Razon Aldej, Latifa Alfowzan, Reem Alhashem, “Analyzing Designing and Implementing a Web-
Based Auction online System”(2018).
[7] Chuancheng Ren,”Research and Design of Online Auction System Based on the Campus Network
Using UML”(2008).
296 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

AUTHORS

S.Kokila doing final year MCA in Francis

Xavier Engineering College

J. Abalin Luther is working as Assistant

Professor in the Department of Computer
Applications, Francis Xavier Engineering
College. She is having teaching experience of 5+
years. Her area of interest is Wireless Sensor
networks

T.Marivijayakumar doing first year MCA in

Francis Xavier Engineering College
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

AUTHENTICATION OF UNUSED
MEDICINE DONATION FOR NGOS
J.Esther Jenslin2 and P.Sahaya Jenitha2 S.Sri Selva Meenakshi3
1
Department of Computer Application, Francis Xavier Engineering
College
2
AP Department of Computer Application, Francis Xavier Engineering
College
3
Department of Computer Application, Francis Xavier Engineering
College

ABSTRACT

This project aims to donate medicines which are unused. The unused medicine can be
donated for further utilization by a needy person. This application helps the user to
donate unused medicines to NGO. Admin will login and manage members by deleting
and blocking the users providing improper or expired medicines. Admin has to verify
the uploaded image for their expiry date.NGO manages the stock which helps to
maintain a record of the available medicine. Members can also check their previous
data of medicine transactions. The donation of unused medicines is not accepted
worldwide, although it is legal in some countries. A constant increase in the rate of
prescription writing has prompted several charity organizations to collect a growing
number of unused medicines. WHO guidelines for drug donations discourage donation
of unused medicines, as this may create a number of problems. Detrimental effects of
drug donations for use in emergency situations have been reported, as the arrival of
unsorted, useless and expired medicines requires management and sorting, which may
take up the time of health workers and eventually lead to the appearance of these drugs
on the black market. However, cases of regulated donations have been reported in the
USA, where several states have adopted laws in order to facilitate the redistribution of
unused drugs to indigent and uninsured patients.This project aims to donate medicines
which are unused. The unused medicine can be donated for further utilization by a
needy person. This application helps the user to donate unused medicines to NGO.
Admin will login and manage members by deleting and blocking the users providing
improper or expired medicines. Admin has to verify the uploaded image for their expiry
date.NGO manages the stock which helps to maintain a record of the available
medicine.Members can also check their previous data of medicine transactions.

KEYWORDS
Web portal,Medicines, Medicine Donation

1. INTRODUCTION
This project aims to donate medicines which are unused. The unused medicine can be donated
for further utilization by a needy person. This application helps the user to donate unused
medicines to NGO. Admin will login and manage members by deleting and blocking the users
providing improper or expired medicines. Admin has to verify the uploaded image for their
D. Angeline, A. Arul et al.(Eds): ICICI-2021
pp. 297-307, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100233
298 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

expiry date.NGO manages the stock which helps to maintain a record of the available medicine.
Members can also check their previous data of medicine transactions. The donation of unused
medicines is not accepted worldwide, although it is legal in some countries. A constant increase
in the rate of prescription writing has prompted several charity organizations to collect a
growing number of unused medicines. WHO guidelines for drug donations discourage donation
of unused medicines, as this may create a number of problems. Detrimental effects of drug
donations for use in emergency situations have been reported, as the arrival of unsorted, useless
and expired medicines requires management and sorting, which may take up the time of health
workers and eventually lead to the appearance of these drugs on the black market. However,
cases of regulated donations have been reported in the USA, where several states have adopted
laws in order to facilitate the redistribution of unused drugs to indigent and uninsured patients.

Elementary education besides being a basic human need is vital for raising the standard of life,
providing gainful employment, removal of regional backwardness, thereby ensuring overall
development and wellbeing of a country. It is therefore the need of the hour to review the
literature carried out by different academicians, educational thinkers, researchers, policymakers
and educational reformers in the field of education.

A Webportal for Medicine Distribution among Poverty-stricken People

The GiveMed is a platform for the donors who want to donate their unused medicines to the
poor or low-income people who need those medicines. This system will contribute to reduce the
cost for national health services by making the proper use of unused medicines; and to help the
poor or low-income people to get better health services.

Android Application For Medicine Donation

This medicine donation app is about the collection of medicine which is unused by the patient
who recovers completely and remaining medicines becomes waste, those medicine can be
collected and used further. This remaining medicines can be used by NGO’s Hospitals who are
indeed for those medicines. By use of this application there will be less wastage of medicines.

Improvements for international medicine donations

The World Health Organization (WHO) has developed the interagency Guidelines for
Medicine Donations for use by donors and recipients in the context of emergency aid and
international development assistance. Although comprehensive in nature and transferable to
various emergency situations, adjustments to both content and formatting would improve this
resource.

Medical donations are not always free: an assessment of compliance of medicine and medical
device donations with World Health Organization guidelines (2009–2017)

Medicine and medical device donations have the potential to improve access to healthcare in
some of the poorest parts of the world, but can do more harm than good. World Health
Organization guidelines advise donors on how to make effective and useful donations. Our
objective was to assess compliance of recent medicine or medical device donations with WHO
guidelines from 2009 onwards. We searched media, academic and gray literature, including
industry and organizational documents, to identify reports describing specific incidences of the
donation of medicines or devices. We collected data on donation characteristics and guideline
compliance. We identified 88 reports describing 53 donations. Most did not comply with at least
some items in WHO guidelines and no reports provided sufficient information to assess
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 299

compliance against all items. Donations that fail to comply with guidelines may be excessive,
expired and/or burden recipient countries with storage and disposal costs. It was estimated that
40–70% of donated medical devices are not used as they are not functional, appropriate, or staff
lack training. More effective donations involved needs assessments, training and the use of
existing distribution networks. The donation of medicines and medical devices is frequently
inadequately reported and at times inappropriate. Guidelines need to be enforced to ensure
effective donations.

2.PROBLEM STATEMENT
Existing System:

1) Loss of man power

2) Cost of the medicines is high
3) It difficult to find the needy people
4) Difficult to find the donors

Proposed System:

1) It helps poor people for medicines.

2) It will help to maintain records of medicines
3) Many needy people will get cured.
4) Admin will verify the expire date

Figure :1 Architecture Diagram

3.EXPERIMENTS AND RESULTS

Modules

Main modules are:

 Admin
 User
 verification for medicines
300 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Admin:

The admin able to add to users and also view to the all users and view the medicines.
The sub modules are:
 Verify medicine
 View users
 Block users
 Search donors

User:

The user able to donate the medicine and also view their donated.
The sub modules are:
 Donate medicine
 My donation
 Search donors
 Upload image

Verification for medicine

The admin will verify the medicine is to be expired or not.If expired the medicine is discarded

Data Connection

A database in Microsoft SQL Server consists of a collection of tables that contain data, and
other objects, such as views, indexes, stored procedures, and triggers, defined to support
activities performed with the data.

The data stored in a database is usually related to a particular subject or process, such as
inventory information for a manufacturing warehouse.

SQL Server can support many databases, and each database can store either interrelated data or
data unrelated to that in the other databases. For example, a server can have one database that
stores personnel data and another that stores product-related data. Alternatively, one database
can store current customer order data, and another; related database can store historical
customer orders that are used for yearly reporting. Before you create a database, it is important
to understand the parts of a database and how to design these parts to ensure that the database
performs well after it is implemented.

Output Screen

Figure : 2
International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 301

Figure :3 Home Page

Figure: 4 About

Figure :5 Feedback
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Figure :6 Feedback

Figure :7 Donate

Figure :8 Registration
International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 303

Figure :9 Sign in

Figure :10 Admin Login Page

Figure :11 Sample admin main page

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Figure :12 Donation view for admin page

Figure :13 Verification

Figure :14 Feedback

 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 305

Figure : 15 User Login Page

Figure :16 User Main Page

Figure :17 Donate medicine form

PERFORMANCE ANALYSIS

The existing and proposed system are analysed. The problems can be easily rectified with this
concept. Nearly 70% of the performance has been increased.

4.CONCLUSION
This was our project of System Design about “Authentication of Unused Medicine Donation for
NGOs” developed as web application based on Asp .Net programming language. The
Development of this system takes a lot of efforts from us. We think this system gave a lot of
satisfaction to all of us. Though every task is never said to be perfect in this development field
306 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

even more improvement may be possible in this application. We learned so many things and
gained a lot of knowledge about development field.

5.FUTURE ENHANCEMENT
Reduce screen interactions and time taken for checkout
Collect reviews and feedback. Provide users with the ease and convenience as against the time-
consuming task of typing long feedbacks

 In future tract the location for medicine collector and distributor.

 Add the doctor suggestion for the disease.
 Easy to find the needy person for using GPS tracker
 Add the live interaction video for doctor and patient.

REFERENCES

1) Medical donations are not always free: an assessment of compliance of medicine and medical device
donations with World Health Organization guidelines (2009–2017) Sally McDonald, Alice
Fabbri, Lisa Parker, Jane Williams, Lisa Bero INTERNATIONAL HEALTH, VOLUME 11, ISSUE 5,
SEPTEMBER 2019, PAGES 379–402, HTTPS://DOI.ORG/10.1093/INTHEALTH/IHZ004
2) Improvements for international medicine donations: a review of the World Health Organization
Guidelines for Medicine Donations, 3rd editionNuria Cañigueral-Vila, Jennifer C. Chen, Lindsey
Frenkel-Rorden, and Richard Laing
3) ANDROID APPLICATION FOR MEDICINE DONATION Netra Shigwan1, Pratiksha Chaudhari2,
Shweta Pawar3, Prof Anuja Gote4 1.2,3 Student, Information Technology, Vidyalankar Institute of
Technology, Wadala, Mumbai, India 4Assistant Professor, Information Technology, Vidyalankar
Institute of Technology, Wadala, Mumbai, India
4) GiveMed: A Webportal for Medicine Distribution among Poverty-stricken People December 2017
DOI: 10.1109/R10-HTC.2017.8288960 Conference: Humanitarian Technology Conference (R10-
HTC), 2017 IEEE Region 10 Project: Development and Evaluation of Health Information Systems
5) Personalized Medicine: The Future of Health Care December 2016 The Indonesian Biomedical
Journal 8(3) DOI: 10.18585/inabj.v8i3.271
6) http://www.asp.net
7) https://ieeexplore.ieee.org/document/7041139/
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 307

AUTHORS

Ms.Esther Jenslin doing final year MCA in

Francis Xavier Engineering College

Mrs. S. Sahaya Jenitha working as Assistant

Professor in the Department of Computer
Applications, Francis Xavier Engineering
College. Her area of interest is Wireless Sensor
networks

S.Sri Selva Meenakshi doing first year MCA in

Francis Xavier Engineering College
308 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

AUTOMATED ACCESS COMMUNICATION

SYSTEM
UppliammalS1 and StanleyD2 S.Sowmiya3
1
Department of Computer Application, Francis Xavier Engineering College
2
AP Department of Computer Application, Francis Xavier Engineering College
3
Department of Computer Application, Francis Xavier Engineering College

ABSTRACT
Automated Access Communication System is concerned with the development of a system that is
simple and easy to use yet a powerful web application for sharing, managing and controlling
enterprise documents on intranet/internet in a secure manner within the particular organization. It
enables the communication between all the departments of the company through online. The
development of this new system contains the following activities, which try to automate the entire
process keeping in the view of database integration approach .

KEYWORDS
ERP; manage; secure; enterprises; department.

1. INTRODUCTION
The development of this new system contains the following activities, which try to automate the entire
process keeping in the view of database integration approach. User friendliness is provided in the
application with various controls provided by system Rice User Interface. The system makes the overall
project management much easier and flexible. It can be accessed over the Intranet. The user information
can be stored in centralized database which can be maintained by the system. This can give the good
security for user information because data is not in client machine. Authentication is provided for this
application only registered parties (Employees of all Departments) access. There is no risk of data
management at any level while the project development is under process. With the introduction of new
technologies and new web architectures, ERP has evolved into web-enabled ERP to target the greater
customer base and efficient business strategies. With the introduction of new technologies and new web
architectures, ERP has evolved into web-enabled ERP to target the greater customer base and efficient
business strategies. Business located over various region can take advantage of central consolidation and
better management reporting and business management. ERP applications also means that successful
companies tend to rationalize business processes to achieve production, supply, sell the business
processes in a straight line passing from the business-to-market, enhance the responsiveness and improve
customer satisfaction. The import of ERP system has a rather long history with the dynamic progress of
the companies themselves. After the determination of the type of ERP system, the interior structure of the
company will be stable in a long time. However, because of the differences in children companies, in the
top view of the header, it will be full of variances in the configurations of ERP in the children companies.
With the latest technological trend of big data analytics and cloud computing, ERP has evolved into
cloud-enabled ERP. Cloud service providers in conjunction with ERP vendors can provide easy, faster

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 309-317, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100234
310 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

and flexible modular pay-asyou-go services to accommodate business functionalities and avoid the many
possible challenges and costly implications of establishing and implementing an on-premise ERP
internally, Cloud ERP can further be evolved into Edge ERP. Cloud computing technology with its
extension to edge computing has the potential to offer virtually unlimited computing and processing
power. One such extension can be utilized to eliminate the need to physically setup a data center or a
distributed server locally. A more trending area of study is extending cloud services towards outer edge
network, ERP solutions that currently exist on cloud computing can be offset from the center of the cloud
towards the edge network using edge computing technology.

The second section discuss about the literature review and continued by problem statements. The fourth
section gives the experiments and results followed by the conclusion and future enhancement

2. LITERATURE SURVEY
ERP has been an important component in the process of enterprise information. Especially, for the large
companies, ERP is the basis of the information architecture. There are adequate literatures on ERP, just
like the expending scale of ERP in industries. For large companies, ERP systems are deployed in
clusters as distributed system, which is the new character of information system [1]. Corresponding to
the hierarchy structure of company organizations, ERP systems are also deployed in complex structure
with hierarchy levels. In the organization, the integration of ERP systems has been a hot research field,
and has promoted the additional value of ERP systems. However, facing the complex of distributed
architecture, the traditional static deployment and configuration of ERP will encounter the difficulty of
increasing scale of distributed nodes. It will be an important research topic in the next generation of ERP
systems to utilize the experiences of ERP importing and running in the organization or wider scope
[2].From 1990s, organizations have moved from standalone business information systems
applications to integrated and flexible enterprise wide information systems and the rise of Enterprise
resource planning (hereinafter, ERP) systems has been the major event in the software industry. ERP
systems present a holistic view of the business from single information and IT architecture. But ERP
systems are comprehensive, huge and complex systems and warrant careful planning and execution not
ensure the successful implementation. [3]. Business Process Management (hereinafter, BPM) includes
methods, techniques, and tools to support the design, enactment, management, and analysis of
operational business processes. It can be considered as an extension of classical Workflow Management
systems and approaches. [4] As the business environment has changed over the years from traditional
business to e-business, and to the greater ecommerce business, so has the MRP architecture, evolved
into an automated and easily manageable process flow [5]. With the flexibility and the advantages of
Internet, businesses needed to grow with the efficiency and requirements of customer demands and
satisfaction. Business powerhouses then integrated various functional separate in-house tools into a
single application such that the business could interlink each inter-dependent processes and achieve a
coherent form of a single centralized application. This is where Enterprise Resource Planning (ERP)
came into existence, which combines the manufacturing processes, human resource, assets, financials,
procurement logistics and administration [5]. ERP implementation process, critical success factors for
the assessment from the date of management[6], high-level support, training, management reform,
partners and management processes, and other aspects of the restructuring, which also includes specific
factors for each of the measure, For example[7], project management of the resources there to measure,
team, skills and management of high-level support for its aims, to participate in activities such as the
index. Training costs and time to reform the management of the exchange, hope, resistance and
visibility, and so on, the partners have a role in management, price and experience, the restructuring
process, there are cost and time. The import of ERP system has a rather long history with the dynamic
progress of the companies themselves. After the determination of the type of ERP system, the interior
structure of the company will be stable in a long time. However, because of the differences in children
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 311

companies, in the top view of the header, it will be full of variances in the configurations of ERP in the
children companies. In another aspect, for the dynamic market and the managerial objectives, the ERP
systems will be configured in a dynamic form. In order to improve the ERP system for each children
company by the status of itself, the experiences should be shared, at least in the scope of the entire
company. It will help to reduce the maintenance cost and promote the broadcasting of knowledge in the
company.

3. PROBLEM STATEMENT
Existing System

The existing system is required to provide a useable and well managed interface for users (Employees),
and administrator users to view and manipulate the data for which it is responsible.

For each it must allow the rapid formulation and resolution of queries related to the user information.in
There is also a requirement for the system to interact with other information sources as required, both as
an information source and as a consumer of related information during the resolution of queries.

Proposed system

The development of this new system contains the following activities, which try to automate the entire
process keeping in the view of database integration approach. User friendliness is provided in the
application with various controls provided by system Rice User Interface.The system makes the overall
project management much easier and flexible. It can be accessed over the Intranet. The user information
can be stored in centralized database which can be maintained by the system.

Architecture Diagram

Figure 1: Architecture Diagram

312 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

4. EXPERIMENT AND RESULT

Modules
Admin

The admin enables the user id and password for all the employees with respective departments. Admin
controls all the activities of the employees. Admin could be able to produce the reports as per the
requirements of the management.

Employee
HR Department

Every employee of the HR Department will be login into this system with userid and password. Entire
HR department activities such as Recruitement, Employee Leave Approval, Employee salary
calculation will be taken care through this system.

Technical Department

After the payment confirmation from the customers and clients, the respective project work will be
allocated to the technical team along with deadline through this system. Accordingly the respective
team goes towards the project completition. After completion of the project the information will be
updated so all the other departments and their managers can view the complete data through this
system.

Inventory Department

Every employee of this department will be login into this system with userid and password. The
respective department employees will maintain the companies entire assets details such as new
purchases of computers, machineries, furniture’s. The movements of assests in and out. Allocation of
assets to the respective departments and employees as well.

Marketing and Sales Department

Every employee of this department will be login into this system with userid and password. Every
employee can be able to update their client and customer details, quotation and invoice preparation,
customer tracking about their payment details etc.

Finance Department

Every employee of this department will be login into this system with userid and password.Every
employee can be able to do all the activities relating their department such as maintaining cash, salary
payment and other office expenses.
Database

MySQL is an open-source relational database management system (RDBMS). MySQL is free and open-
source software under the terms of the GNU General Public License, and is also available under a variety
of proprietary licenses. MySQL is a fast, easy-to-use RDBMS being used for many small and big
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 313

businesses. MySQL is developed, marketed and supported by MySQL AB, which is a Swedish company.
MySQL is becoming so popular because of many good reasons.

 MySQL is released under an open-source license. So you have nothing to pay to use it.

 MySQL is a very powerful program in its own right. It handles a large subset of the functionality
of the most expensive and powerful database packages.

 MySQL uses a standard form of the well-known SQL data language.

 MySQL works on many operating systems and with many languages including PHP, PERL, C,
C++, JAVA, etc.

 MySQL works very quickly and works well even with large data sets.

 MySQL is very friendly to PHP, the most

 appreciated language for web development.

MySQL supports large databases, up to 50 million rows or more in a table. The default file size limit for a
table is 4GB,but you can increase this (if your operating system can handle it) to a theoretical limit of 8
million terabytes (TB).

 MySQL is customizable. The open-source GPL license allows programmers to modify the
MySQL software to fit their own specific environments.

Output Screens

Figure 2: Admin Login

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Figure 3: Employee Login

Figure 4: Add Employee

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Figure 5: HR Profile

Figure 6: Faculty leave status

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Figure 7: Salary Details

Figure 8: Salary Calculation

PERFORMANCE ANALYSIS
The existing and proposed systems are analysed. The problems can be easily rectified with this concept.
Nearly 70% of the performance has been increased.

5. CONCLUSION
Automated Access Communication System enables the communication between all the departments in the
enterprises. This web application for sharing managing and controlling enterprise documents on
internet/intranet.
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6. FUTURE ENHANCEMENTS
Automated Access Communication System has made enterprises more effective and efficient and has
driven businesses to a new level. In future connect many branches of the enterprise. It includes cloud
deployment. It is cloud adoption will continue to rise and become generally accepted with the most ERP
systems. It reduced costs in capital expenditures and IT resources, the improved maintenance
and flexibility.

REFERENCES

[1] Zhang Yanhong, “ ERP Implementation Process Analysis Based on the Key Success
Factors“.
[2] Wei Lui, “ Modeling the Evolutionary ERP Cluser System”.
[3] Feng Chen, Qinhua Wang, Qiang Wei, Changrui Ren, Bing Shao, Jinfeng Li, “ Integrate ERP
System into Business Process Management System“.
[4] Shalmendra Chand,Shalmeet Lal. Shan Chen, Arti Devi, “ Cloud ERP Implementation Using
Edge Computing“.
[5] Imaad Rizni, Guhanathan Poravi “ Best of Breed : A Dashboard for Strategic Decision
Makers“.

AUTHORS
Ms. S. Uppliammal doing final year MCA in Francis Xavier Engineering College

Mr. D. Stanley is working as Assistant Professor in the Department of Computer

Applications, Francis Xavier Engineering College. He is having teaching experience
of 11+ years. His area of interest is Cloud Computing with IOT

Ms. S. Sowmiya doing first year MCA in Francis Xavier Engineering College
318 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

BRAIN TUMOR DETECTION USING IMAGE

PROCESSING

Nithyasree C1 Stanley D2 Subalakshmi K 3

1
Department of Computer Application,Francis Xavier Engineering
College,Tamil Nadu, Tirunelveli
2
AP/Department of Computer Application,Francis Xavier Engineering
College,Tamil Nadu, Tirunelveli
3
Department of Computer Application,Francis Xavier Engineering
College,Tamil Nadu, Tirunelveli

ABSTRACT
Brain tumor extraction and its analysis are challenging tasks in medical image processing
because brain image is complicated .Segmentation plays a very important role in the
medical image processing.In that way MRI (magnetic resonance imaging )has become a
useful medical diagnostic tool or the diagnosis o brain & other medical images.In this
project, we are presenting a comparative study of three segmentation methods implemented
or tumor detection .The method includes kmeans clustering using watershed algorithm .
Optimized k-means and optimized c-means using genetic algorithm.

KEYWORDS
DBMS,ACID,DIP,RAID,RSA

1. INTRODUCTION
With the improvement of modern medical standards, medical imaging technology plays an
increasingly important role in daily medical diagnosis and medical research. Therefore, research
on medical diagnostic image data is very important. As a tumor disease with frequent occurrence
and complexity, brain tumor has become a key research topic in the medical field. The diagnosis
of brain tumors is usually based on imaging data analysis of brain tumor images. Accurate analysis
of brain tumor images is a key step in determining a patient's condition. However, the accumulation
of doctors' personal medical knowledge, differences in experience levels, and visual fatigue can
affect the correct analysis of image results. Therefore, how to accurately detect brain tumor images
is very important. Magnetic Resonance Imaging (MRI) can provide information on the shape, size,
and position of human tissues and organs without high ionizing radiation. The images obtained are
very clear and precise. MRI greatly improves the diagnostic efficiency, avoids the operation of
thoracotomy or laparotomy exploration, and provides a good guide for lesion localization and
surgical treatment. Brain tumor MRI uses threedimensional multi-band imaging technology, and
chest X-ray scanning, etc. Compared with 2D images, 3D multiband MRI can provide the
coordinate position of the lesion area to assist the doctor to accurately locate the lesion area. In
addition, MRI imaging can also obtain different structures of the same tissue using the unused
development sequence. That is, a multimodal MRI image. Different modes can display different
brain tumor features

D. Angeline, A. Arul et al.(Eds): ICICI-2021

pp. 319-325, 2021. IJCI – 2021 DOI:10.5121/ijci.2021.100235
320 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

Nishant Verma et al [2] proposed that region growing is region based image segmentation. Here
the intensity of same image is grouped into one region using 4- connected neighbourhood or 8-
connected neighbourhood. If the intensity belongs to the same seed, it belongs to one region and
process is iterated. Region based geometric active contour models are more immune to noise in the
MRI resulting in poor segmentation.Deepthi Murthy T.S et al [3] Using thresholding and
morphological operations efficient brain tumour segmentation is carried out. But the threshold
value used is global threshold, hence not fully automated needs human intervention. L. Ramya et
al [4]A seeded region growing segmentation is used to detect the tumour in MRI brain image. Also
skull removal procedure is employed using morphological operators to increase the accuracy of
brain tumour detection. International Journal of Engineering Research & Technology (IJERT)
ISSN: 2278-0181 Published by, www.ijert.org ICIATE - 2017 Conference Proceedings Volume 5,
Issue 01 Special Issue – 2017

Architecture Diagram

Figure 1 Architecture diagram

2. PROBLEM STATEMENT
Modules

K-Means Clustering

K-means clustering aims to partition n observation into ‘K’ clusters in which each observation
belongs to the cluster with the nearest mean.
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 321

K-Means Clustering with Watershed

 If variables are huge, then k-means most of the times computationally faster than ,if we
keep k small. Watershed algorthim improves the primary results of segmentation of tumor
done by kmeans.
 Defficult to predict k-value &k-means cannot find nonconvex clusters. Different initial
partitions can results in different final clusters. This methods does not work well with
clusters of different size and different density.

MRI of Brain Images

 This is the first step of our proposed project .In this the data is been provided that is the
magnetic resonance images(MRI) that are been collected in their original format’s that are
(.ima, .dcm).
 Mostly the mri images are of .dcm (DICOM[13]) Digital imaging and communications in
medicine. We have used file operations fopen(), fclose() available in matlab to read MRI
images. Here the gray scale MRI images are been provided as input to the system. 3.2 Pre-
Processing International Journal of Information Sciences and Application (IJISA). ISSN
0974-2255, Vol.11, No.1, 201

3. EXPERIMENT AND RESULTS

Output Screen

Figure 2 Input Form

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Figure 3 File Detected Form

Figure 4 Outline Form

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Figure 5 Image Process

Figure 6 Filter Image

4. PERFORMANCE ANALYSIS
The exisiting and proposed system are analysed. The problem identified in exsiting is there
are websites for the brain tumor detection applications which provide details about the brain
tumor, but in those the user cannot register his problem so that the nearby doctors would
approach him in some or the other way. A person who wants to attend the hospital for the
brain tumortreatment has to go and visit only that particular hospital place physically. This
makes him a main problem to travel again and again. The existing applications mainly focus
on information displaying about the brain tumor and display the details of the e hospitals.
Most of the applications available provide information only about the problem, there
is no classified information about the detection without visiting the hospital.This
assumption has prevented them from automating.Nearly 70% performance has been
324 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021

increased

5. CONCLUSION
we have developed an open source software to distinguish normal and abnormal brain MRIs. We
are working on GUI, which is user friendly. It consist of eight steps, namely Input image, RGB to
Grey, Edge Detection, Histogram, Thresholding, Segmentation and Tumor identify. Here several
methodologies are exist for brain tumor detection of MRI image

6. FUTURE ENHANCEMENTS
The system can be further modified for the tumors which are having more fuzzier edges. By far
deep neural networks, in particular convolution networks are rarely used in boundary detection
problems. Hence, in future such neural networks can be proposed for this state of art application.
Further this system can be extended for 3D boundary detection of brain tumor

REFERENCES

[1]. Akansha Singh , Krishna Kant Singh, “A Study Of Image Segmentation Algorithms For Different Types
Of Images”, International Journal of Computer Science Issues, vol. 7,Issue 5, pp 414- 417,2010.
[2]. Mansur Rozmin, Prof. Chhaya Suratwala, Prof. Vandana Shah,”Implementation Of Hard C-Means
Clustering Algorithm For Medical Image Segmentation”, Journal Of Informatio Knowledge
andResearch in Electronics and Communication
[3]. Rajesh Kumar Rai, Trimbak R. Sontakke, “Implementation of Image Denoising using Thresholding
Techniques”,International Journal of (IJCTEE),vol.1,no. 2, pp 6-10. [4]. T.Kalaiselvi, S.Vijayalakshmi,
K.Somasundara, “Segmentation of Brain Portion from MRI of Head Scans Using Kmeans Cluster”,
International Journal of Computational Intelligence and Informatics ,vol. 1,no. 1, pp 75-79,2011.
[5]. S.S Mankikar , “A Novel Hybrid Approach Using Kmeans Clustering and Threshold filter For Brain
Tumor Detection”, International Journal of Computer Trends and Technology , vol. 4, no.3, pp 206-
209,2013. Engineering,vol.2, no.2, pp 436- 440,Nov12-Oct13.
[6]. American Brain Tumor association vol. 4, no.3, pp 206-209,2013. Engineering,
[7]. National Brain Tumor Societyvol.2, no.2, pp 436- 440,Nov12-Oct13.
[8]. The PPA is a coalition of pharmaceutical ,
[9]. Survivorship A-Z is a web-based resource.
[10]. PAN Foundation www.panfoundation.org
 International Journal on Cybernetics & Informatics (IJCI) Vol. 10, No.1/2, May 2021 325

AUTHORS

Nithyasree C doing final year MCA in Francis Xavier Engineering College

D. Stanley is working as Assistant Professor in the Department of Computer

Applications, Francis Xavier Engineering College. He is having teaching
experience of 11+ years. His area of interest is Cloud Computing with IOT

Subalakshmi K doing first year MCA in Francis

Xavier Engineering College
 AUTHOR INDEX

R.Samyuktha and Dr.B.Gayathri 01

Kanakaveti Narasimha Dheeraj, Goutham. R. and J Arthi. L 07
M. Ananthi and Bharathram. P Rahul Narayanan. L 13
Anshumaan Mishra And Fancy 23
RexyJ and VelmaniP, Rajakumar T.C 35
Anciline JeniferJ and Piramu PreethikaSK 47
D.Louisa Mary ,Dr.M.Ramakrishnan 57
B Sudha Devi and Dr.D.S Misbha 65
Udhaya Nila and J. Abalin Luther Aathi Vignesh 73
M. Ahamed Fysal and P.Sahaya Jenitha S.Ganapathy Subramanian 81
Selvi, P.Sahaya Jenitha and Sivanesh 91
Lokesh, P.Sahaya Jenitha and Sivanesh 103
N.Shahul Ashfar and J.Abalin Luther and L.Antro James 113
N. Ramesh Kannan and S.Sujitha S,Ganapathy Subramanian 121
Robin and P. Sahaya Jenitha and Santhosh 129
Muthu Krishnan.S and Angeline Ranjithamani,D Deepa.C 137
Roshini and D. Angeline Ranjithamani, Deepa 145
S.PaulPushpa and D.AngelineRanjithamani, S.Sowmiya 157
K Rabiyathu Basaria and S Sujitha K Nambi Natchiar 169
MuthuselviM, D. Angeline Ranjithamani and AbinayaV 181
Nivetha M and Sujtha S, Abinaya V 193
Subha J and Sujitha S, Subalakshmi K 203
Indira G and Sujitha S ,Subalakshmi K 211
GuruSharmila S Arul Amalraj A Subalakshmi K 219
V.Selva Bhuvaneshwari and D.Angeline Rangithamani K,Aathi Vignesh 225
H.Mohamed Masood and J.Abalin Luther, R.Kejapriya 233
Padmanaban and S. Sujitha, M. Muppidathi@Priya 239
K.Venkatesh Prabu and S.Sujitha, M.Muppidathi@Priya 251
A.Subash and P. Sahaya Jenitha, Allen Steve 259
K.Parvathi and S.Sujitha, Allen steve 269
N.Anna lakshmi and P.Sahaya Jenitha, T.Marivjayakumar 277
S.Kokila and J.Abalin Luther ,T.Marivijayakumar 289
J.Esther Jenslin and P.Sahaya Jenitha, S.Sri Selva Meenakshi 297
UppliammalS and Stanley D, S.Sowmiya 309
Nithyasree C and Stanley D, Subalakshmi K 319