IFIP Advances in Information

and Communication Technology 626

Editor-in-Chief

Kai Rannenberg, Goethe University Frankfurt, Germany

Editorial Board Members

TC 1 – Foundations of Computer Science
Luís Soares Barbosa , University of Minho, Braga, Portugal
TC 2 – Software: Theory and Practice
Michael Goedicke, University of Duisburg-Essen, Germany
TC 3 – Education
Arthur Tatnall , Victoria University, Melbourne, Australia
TC 5 – Information Technology Applications
Erich J. Neuhold, University of Vienna, Austria
TC 6 – Communication Systems
Burkhard Stiller, University of Zurich, Zürich, Switzerland
TC 7 – System Modeling and Optimization
Fredi Tröltzsch, TU Berlin, Germany
TC 8 – Information Systems
Jan Pries-Heje, Roskilde University, Denmark
TC 9 – ICT and Society
David Kreps , National University of Ireland, Galway, Ireland
TC 10 – Computer Systems Technology
Ricardo Reis , Federal University of Rio Grande do Sul, Porto Alegre, Brazil
TC 11 – Security and Privacy Protection in Information Processing Systems
Steven Furnell , Plymouth University, UK
TC 12 – Artificial Intelligence
Eunika Mercier-Laurent , University of Reims Champagne-Ardenne, Reims, France
TC 13 – Human-Computer Interaction
Marco Winckler , University of Nice Sophia Antipolis, France
TC 14 – Entertainment Computing
Rainer Malaka, University of Bremen, Germany
IFIP – The International Federation for Information Processing
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More information about this series at http://www.springer.com/series/6102

Luis M. Camarinha-Matos •

Pedro Ferreira Guilherme Brito (Eds.)

•

Technological Innovation
for Applied AI Systems
12th IFIP WG 5.5/SOCOLNET
Advanced Doctoral Conference on Computing,
Electrical and Industrial Systems, DoCEIS 2021
Costa de Caparica, Portugal, July 7–9, 2021
Proceedings

123
Editors
Luis M. Camarinha-Matos Pedro Ferreira
NOVA University of Lisbon NOVA University of Lisbon
Monte Caparica, Portugal Monte Caparica, Portugal
Guilherme Brito
NOVA University of Lisbon
Monte Caparica, Portugal

ISSN 1868-4238 ISSN 1868-422X (electronic)

IFIP Advances in Information and Communication Technology
ISBN 978-3-030-78287-0 ISBN 978-3-030-78288-7 (eBook)
https://doi.org/10.1007/978-3-030-78288-7

© IFIP International Federation for Information Processing 2021

This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the
material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation,
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The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
 Preface

This proceedings, which collects selected results produced in engineering doctoral

programs, focuses on research and development in technological innovation for applied
Artificial Intelligence systems. Artificial Intelligence (AI) is a branch of computer
science for which purpose is to replicate human intelligence based on computational
means. AI is shaping and rebuilding society’s basic constructs - such as the economy,
health, education, and lifestyle - and having an impact on people’s lives through the
implementation of intelligent algorithms in everyday applications, and promoting
technological advancements that allow for a better and more sustainable quality of life.
AI is expected to become an important vehicle for large-scale economic and techno-
logical growth, like previous revolutionary technologies such as the steam engine,
electricity, and the internet. AI techniques (e.g., machine learning and deep learning,
automated reasoning, and planning) can be applied to several knowledge areas, from
electronics and energy to the biomedical field and industrial collaborative networks,
providing impactful technological developments that can result in the enhancement of
healthcare, the environment, manufacturing, transportation, and communication sys-
tems across the globe. AI is forecasted to have a substantial influence across all sectors
of industry and services, and is therefore of paramount importance for both industrial
and research innovation.
The 12th Advanced Doctoral Conference on Computing, Electrical and Industrial
Systems (DoCEIS 2021) aimed to provide a venue for the exchange and discussion of
ideas and results from doctoral research in various inter-related areas of engineering,
while promoting a strong multi-disciplinary dialog. Furthermore, the conference aimed
to create collaborative opportunities for young researchers as well as an effective way
of collecting valuable feedback from colleagues in a welcoming environment. As such,
participants were challenged to look beyond the specific technical aspects of their
research question and relate their work to the selected theme of the conference, namely,
to identify in which ways their research topics can contribute to the technological
innovation in applied AI systems. Furthermore, current trends in strategic research
programs point to the fundamental role of multi-disciplinary and interdisciplinary
approaches in innovation. More and more funding agencies are including this element
as a key requirement in their research agendas. In this context, the challenge proposed
by DoCEIS 2021 contributed to the process of acquiring such skills, which are
becoming essential in the research profession [1].
DoCEIS 2021, which was sponsored by SOCOLNET, IFIP, and IEEE IES, attracted
a good number of paper submissions from a good number of PhD students and their
supervisors from 16 countries. This book comprises the works selected by the
International Program Committee for inclusion in the main program and covers a wide
vi Preface

spectrum of application domains. As such, research results and on-going work are
presented, illustrated, and discussed in areas such as
– Collaborative Networks
– Smart Manufacturing
– Cyber-Physical Systems and Digital Twins
– Intelligent Decision Making
– Smart Energy Management
– Communications and Electronics
– Classification Systems
– Smart Healthcare Systems
– Medical Devices
We hope that this collection of papers will provide readers with an inspiring set of
new ideas and challenges, presented in a multi-disciplinary context, and that by their
diversity these results can trigger and motivate richer research and development
directions.
We would like to thank all the authors for their contributions. We also appreciate the
efforts and dedication of the DoCEIS International Program Committee members, who
both helped with the selection of articles and contributed valuable comments to
improve the quality of papers.

April 2021 Luis M. Camarinha-Matos

Pedro Ferreira
Guilherme Brito

Reference

1. L. M. Camarinha-Matos, J. Goes, L. Gomes, P. Pereira (2020). Soft and Trans-

ferable Skills Acquisition through Organizing a Doctoral Conference. Education
Sciences 10(9), 235. DOI: https://doi.org/10.3390/educsci10090235
 Organization

12th IFIP/SOCOLNET Advanced Doctoral

Conference on Computing, Electrical
and Industrial Systems
Costa de Caparica, Portugal, July 7–9, 2021

Conference and Program Chair

Luis M. Camarinha-Matos NOVA University of Lisbon, Portugal

Organizing Committee Co-chairs

Luis Gomes NOVA University of Lisbon, Portugal
João Goes NOVA University of Lisbon, Portugal
João Martins NOVA University of Lisbon, Portugal

International Program Committee

Antonio Abreu, Portugal Juanqiong Gou, China

Vanja Ambrozic, Slovenia Paul Grefen, Netherlands
Frederick Bénaben, France Michael Huebner, Germany
Luis Bernardo, Portugal Ricardo Jardim-Gonçalves, Portugal
Xavier Boucher, France Tomasz Janowski, Poland
Giuseppe Buja, Italy Vladimir Katic, Serbia
Luis M. Camarinha-Matos, Portugal Asal Kiazadeh, Portugal
Ricardo Carelli, Argentina Evgeny Kuzmin, Russia
Laura Carnevali, Italy Matthieu Lauras, France
Wojciech Cellary, Poland Marin Lujak, France
Noelia Correia, Portugal João Martins, Portugal
Jose de la Rosa, Spain Rui Melicio, Portugal
Filipa Ferrada, Portugal Paulo Miyagi, Brazil
Florin G. Filip, Romania Filipe Moutinho, Portugal
Maria Helena Fino, Portugal Horacio Neto, Portugal
Adrian Florea, Romania Paulo Novais, Portugal
José M. Fonseca, Portugal Luis Oliveira, Portugal
Rosanna Fornasiero, Italy Rodolfo Oliveira, Portugal
Paulo Gil, Portugal Angel Ortiz, Spain
João Goes, Portugal Peter Palensky, Austria
Luis Gomes, Portugal Luis Palma, Portugal
viii Organization

Nuno Paulino, Portugal Ioan Sacala, Romania

Pedro Pereira, Portugal Eduard Shevtshenko, Estonia
Paulo Pinto, Portugal Thomas Strasser, Austria
Armando Pires, Portugal Zoltán Ádám Tamus, Hungary
Ricardo J. Rabelo, Brazil Kleanthis Thramboulidis, Greece
Luis Ribeiro, Sweden Damien Trentesaux, France
Juan Rodriguez-Andina, Spain Manuela Vieira, Portugal
Enrique Romero-Cadaval, Spain Ramon Vilanova, Spain
Carlos Roncero, Spain Valery Vyatkin, Sweeden
Imre Rudas, Hungary Lai Xu, UK
Roberto Sabatini, Australia Soufi Youcef, France

Local Organizing Committee (PhD Students)

Guilherme Brito, Portugal João Pires, Portugal

Pedro Ferreira, Portugal Omid Nasrollahi, Portugal/Iran
Daniel Dias, Portugal Dyar Fadhil, Portugal/Iraq
Ali Gashtasbi, Portugal/Iran Ayman Abu Sabah, Portugal/Jordan
Carlos Marques, Portugal Luis Estrada, Portugal/Ecuador
Ricardo Martins, Portugal

Medical Devices Special Session Organizers

Hugo Gamboa, Portugal Cláudia Quaresma, Portugal

Mauro Guerra, Portugal José Paulo Santos, Portugal
Alda Moreno, Portugal Valentina Vassilenko, Portugal
Carla Pereira, Portugal Ricardo Vigário, Portugal

Technical Sponsors
SoCol
net
Society of Collaborative Networks

Project
 Organization ix

IFIP WG 5.5 COVE

Co-Operation infrastructure for Virtual Enterprises
and electronic business

IEEE−Industrial Electronics Society

Organizational Sponsors

Organized by:

PhD Program in Electrical and Computer Engineering,

in collaboration with PhD Program in Biomedical Engineering
School of Science and Technology - NOVA University of Lisbon
 Contents

Collaborative Networks

AI and Simulation for Performance Assessment in Collaborative Business

Ecosystems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
Paula Graça and Luís M. Camarinha-Matos

The Benefits of Applying Social Network Analysis to Identify

Collaborative Risks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
Marco Nunes and António Abreu

A Mixed Method for Assessing the Reliability of Shared Knowledge

in Mass Collaborative Learning Community . . . . . . . . . . . . . . . . . . . . . . . . 24
Majid Zamiri and Luis M. Camarinha-Matos

Smart Manufacturing

Characteristics of Adaptable Control of Production Systems and the Role

of Self-organization Towards Smart Manufacturing . . . . . . . . . . . . . . . . . . . 39
Luis Alberto Estrada-Jimenez, Sanaz Nikghadam-Hojjati,
and Jose Barata

Predictive Manufacturing: Enabling Technologies, Frameworks

and Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51
Terrin Pulikottil, Luis Alberto Estrada-Jimenez,
Sanaz Nikghadam-Hojjati, and Jose Barata

Control of Manufacturing Systems by HMS/EPS Paradigms Orchestrating

I4.0 Components Based on Capabilities . . . . . . . . . . . . . . . . . . . . . . . . . . . 62
Jackson T. Veiga, Marcosiris A. O. Pessoa, Fabrício Junqueira,
Paulo E. Miyagi, and Diolino J. dos Santos Filho

A Framework for Self-configuration in Manufacturing

Production Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71
Hamood Ur Rehman, Jack C. Chaplin, Leszek Zarzycki,
and Svetan Ratchev

Cyber-Physical Systems and Digital Twins

Verification of the Boundedness Property in a Petri Net-Based Specification

of the Control Part of Cyber-Physical Systems . . . . . . . . . . . . . . . . . . . . . . 83
Marcin Wojnakowski and Remigiusz Wiśniewski
xii Contents

Collaborative Cyber-Physical Systems Design Approach: Smart Home

Use Case . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92
Artem A. Nazarenko and Luis M. Camarinha-Matos

Digital Twin for Supply Chain Master Planning in Zero-Defect

Manufacturing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102
Julio C. Serrano, Josefa Mula, and Raúl Poler

Intelligent Decision Making

Matheuristic Algorithms for Production Planning in Manufacturing

Enterprises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115
Eduardo Guzman, Beatriz Andres, and Raul Poler

Assessment of Sentinel-2 Spectral Features to Estimate Forest Height

with the New GEDI Data. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123
João E. Pereira-Pires, André Mora, Valentine Aubard, João M. N. Silva,
and José M. Fonseca

Assessing Normalization Techniques for TOPSIS Method . . . . . . . . . . . . . . 132

Nazanin Vafaei, Rita A. Ribeiro, and Luis M. Camarinha-Matos

How Can e-Grocers Use Artificial Intelligence Based on Technology

Innovation to Improve Supply Chain Management?. . . . . . . . . . . . . . . . . . . 142
Mar Vazquez-Noguerol, Carlos Prado-Prado, Shaofeng Liu,
and Raul Poler

A Conceptual Framework of Human-System Interaction Under

Uncertainty-Based on Shadow System Perspective . . . . . . . . . . . . . . . . . . . 151
Qingyu Liang and Juanqiong Gou

A New Challenge for Machine Ethics Regarding Decision-Making

in Manufacturing Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161
Esmaeil Kondori and Rui Neves-Silva

Smart Energy Management

Towards a Hybrid Model for the Diffusion of Innovation

in Energy Communities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175
Kankam O. Adu-Kankam and Luis M. Camarinha-Matos

Towards Extension of Data Centre Modelling Toolbox

with Parameters Estimation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189
Yulia Berezovskaya, Chen-Wei Yang, and Valeriy Vyatkin

Power Transformer Design Resorting to Metaheuristics Techniques . . . . . . . . 197

Pedro Alves, P. M. Fonte, and R. Pereira
 Contents xiii

Communications and Electronics

Detection of Signaling Vulnerabilities in Session Initiation Protocol . . . . . . . 209

Diogo Pereira and Rodolfo Oliveira

Interference Power Characterization in Directional Networks

and Full-Duplex Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 218
Ayman T. Abusabah, Rodolfo Oliveira, and Luis Irio

FEM-Parameterized Sensorless Vector Control of PMSM Using

High-Frequency Voltage Injection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226
Gergely Szabó and Károly Veszprémi

Classification Systems

Deep Learning-Based Automated Detection of Inappropriate Face Image

Attributes for ID Documents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243
Amineh Mazandarani, Pedro Miguel Figueiredo Amaral,
Paulo da Fonseca Pinto, and Seyed Jafar Hosseini Shamoushaki

Automatic Cognitive Workload Classification Using Biosignals

for Distance Learning Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 254
Rui Varandas, Hugo Gamboa, Inês Silveira, Patrícia Gamboa,
and Cláudia Quaresma

Design of an Attention Tool Using HCI and Work-Related Variables . . . . . . 262

Patricia Gamboa, Cláudia Quaresma, Rui Varandas, Helena Canhão,
Rute Dinis de Sousa, Ana Rodrigues, Sofia Jacinto, João Rodrigues,
Cátia Cepeda, and Hugo Gamboa

Smart Healthcare Systems

Assessment of Visuomotor and Visual Perception Skills in Children:

A New Proposal Based on a Systematic Review . . . . . . . . . . . . . . . . . . . . . 273
Ana Isabel Ferreira, Carla Quintão, and Cláudia Quaresma

Benefits, Implications and Ethical Concerns of Machine Learning Tools

Serving Mental Health Purposes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 285
Patricia Gamboa, Cláudia Quaresma, Rui Varandas,
and Hugo Gamboa

Multi-agent System Architecture for Distributed Home Health Care

Information Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 295
Filipe Alves, Ana Maria A. C. Rocha, Ana I. Pereira, and Paulo Leitão
xiv Contents

Medical Devices

Analysis of Electromyography Signals for Control Models

of Power-Assisted Stroke Rehabilitation Devices of Upper Limb System . . . . 307
Paulo Bonifacio, Valentina Vassilenko, Guilherme Marques,
and Diogo Casal

AI-Based Classification Algorithm of Infrared Images of Patients

with Spinal Disorders . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 316
Anna Poplavska, Valentina Vassilenko, Oleksandr Poplavskyi,
and Diogo Casal

Improvements on Signal Processing Algorithm for the

VOPITB Equipment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 324
Filipa E. Cardoso, Valentina Vassilenko, Arnaldo Batista,
Paulo Bonifácio, Sergio Rico Martin, Juan Muñoz-Torrero,
and Manuel Ortigueira

Pilot Study for Validation and Differentiation of Alveolar

and Esophageal Air . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 331
Paulo Santos, Valentina Vassilenko, Carolina Conduto,
Jorge M. Fernandes, Pedro C. Moura, and Paulo Bonifácio

Application of Machine Learning Methods to Raman Spectroscopy

Technique in Dentistry. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 339
Iulian Otel, J. M. Silveira, V. Vassilenko, A. Mata, and S. Pessanha

Gas Chromatography-Ion Mobility Spectrometry Instrument for Medical

Applications: A Calibration Protocol for ppb and ppt
Concentration Range . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 349
Jorge M. Fernandes, Valentina Vassilenko, Pedro C. Moura,
and Viktor Fetter

Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 359