DESIGN OF ON-LINE INTERACTIVE DATA ACQUISITIONAND CONTROL SYSTEM FOR EMBEDDED REAL TIME APPLICATIONS

Design of on- line embedded web server is a challenging part of many embedded and real time data acquisition and control system applications. The World Wide Web is a global system of interconnected computer networks that use the standard Internet Protocol Suite(TCP/ IP) to serve billion of users worldwide and allows the user to interface many real time embedded applications like data acquisition, Industrial automations and safety measures etc, .This paper approached towards the design and development of on-line Interactive Data Acquisition and Control System ( IDACS) using ARM based embedded web server. It can be a network, intelligent and digital distributed control system. Single chip IDACS method improves the processing capability of a system and overcomes the problem of poor real time and reliability. This system uses ARM9 Processor portability with Real Time Linux Operating system (RTLinux RTOS) it makes the system more real time and handling various processes based on multi tasking and reliable scheduling mechanisms. Web server application is ported into an ARM processor using embedded `C' language. Web pages are written by hyper text mark language (HTML); it is beneficial for real time IDACS, Mission critical applications, ATM networks and more.

HAZARDOUS GAS DETECTING METHOD APPLIED IN COAL MINE DETECTION ROBOT

As one of the largest coal production and consumption countries in the world, China is also one of the related accidents occurred frequently countries such as gas explosion, flood, breaking out of fire during the exploitation of coal mine. Coal Mine Detection Robot can be substituted or partial substituted for emergency workers to enter the mine shaft disaster site and detect hazardous gas and do some environmental exploration and surveying task. Coal Mine Detection Robot uses infra-red spectrum absorption way to detect methane, carbon monoxide and such gas simultaneously. The principle of gas survey meter of infra-red spectrum is according to the selectively absorption of infrared radiation by the mash gas, CO to achieve the detection of their concentration. The advantages of this kind of hazardous gas detecting are: simultaneously and rapidly detecting methane, CO and high sensitivity, good selectivity and fast response. Otherwise, it is easy to be taken by robot due to its simple and light structure, have a larger detection range and probe is not easy failure to be poisoning and aging.

FINGERID: A NEW SECURITY MODEL BASED ON FINGERPRINT RECOGNITION FOR DISTRIBUTED SYSTEMS
The current practice of password based security for distributed systems in general and the Internet in particular is inadequate. Besides, remembering a plethora of long passwords and pass phrases sometimes as many as 15 or 20 is cumbersome. This raises the need to introduce a better and more reliable authentication mechanism which is not dependent on a series of characters, but rather on a technology that is unique and only possessed by the individual . Similar services already exist, and they are good in some situations, but prove to be inadequate under other circumstances. Overall , three main requirements of the everyday Internet user remain unaddressed freedom from memorizing many passwords and pass phrases; convenience and ease of use; and security. The present paper attempts to offer an answer to all these problems by just one solution, named FingerID. The contribution of this study is of considerable significance, as it would revolutionize the way Internet security is managed.

BRAIN-ACTUATED HUMANOID ROBOT NAVIGATION CONTROL USING ASYNCHRONOUS BRAIN-COMPUTER INTERFACE

Brain-actuated robotic systems have been proposed as a new control interface to translate different human intentions into appropriate motion commands for robotic applications. This study proposes a brain-actuated humanoid robot navigation system that uses an EEG-BCI. The experimental procedures consisted of offline training sessions, online feedback test sessions, and real-time control sessions. During the offline training sessions, amplitude features from the EEGs were extracted using band power analysis, and the informative feature components were selected using the Fisher ratio and the linear discriminant analysis (LDA) distance metric. The Intentional Activity Classifier (IAC) and the Motor Direction Classifier (MDC)were hierarchically structured and trained to build an asynchronous BCI system. During the navigation experiments, the subject controlled the humanoid robot in an indoor maze using the BCI system with real- time images from the camera on the robots head. The results showed that three subjects successfully navigated the indoor maze using the proposed brain-actuated humanoid robot navigation system.

ONLINE VOTING SYSTEM POWERED BY BIOMETRIC SECURITY USING STEGANOGRAPHY

Using Cryptography and Steganography at the same time, we try to provide Biometric as well as Password security to voter accounts. The scheme uses Images as cover objects for Steganography and as keys for Cryptography. The key Image is a Biometric measure, such as a fingerprint image. Proper use of Cryptography greatly reduces the risks in these systems as the Hackers have to find both secret key and the template. The basic idea is to merge the secret key with the cover image on the basis of key image. The result of this process produces a Steganography image which looks quite similar to the cover image but not detectable by human eye. The system targets the Authentication requirement of a voting system.