Advances in Intelligent Systems and Computing978-3-319-18296...Advances in Intelligent Systems and Computing Volume 356 Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw,

Advances in Intelligent Systems and Computing

Volume 356

Series editor

Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Polande-mail: [email protected]

About this Series

The series “Advances in Intelligent Systems and Computing” contains publications on theory,applications, and design methods of Intelligent Systems and Intelligent Computing. Virtuallyall disciplines such as engineering, natural sciences, computer and information science, ICT,economics, business, e-commerce, environment, healthcare, life science are covered. The listof topics spans all the areas of modern intelligent systems and computing.

The publications within “Advances in Intelligent Systems and Computing” are primarilytextbooks and proceedings of important conferences, symposia and congresses. They coversignificant recent developments in the field, both of a foundational and applicable character.An important characteristic feature of the series is the short publication time and world-widedistribution. This permits a rapid and broad dissemination of research results.

Advisory Board

Chairman

Nikhil R. Pal, Indian Statistical Institute, Kolkata, Indiae-mail: [email protected]

Members

Rafael Bello, Universidad Central “Marta Abreu” de Las Villas, Santa Clara, Cubae-mail: [email protected]

Emilio S. Corchado, University of Salamanca, Salamanca, Spaine-mail: [email protected]

Hani Hagras, University of Essex, Colchester, UKe-mail: [email protected]

László T. Kóczy, Széchenyi István University, Győr, Hungarye-mail: [email protected]

Vladik Kreinovich, University of Texas at El Paso, El Paso, USAe-mail: [email protected]

Chin-Teng Lin, National Chiao Tung University, Hsinchu, Taiwane-mail: [email protected]

Jie Lu, University of Technology, Sydney, Australiae-mail: [email protected]

Patricia Melin, Tijuana Institute of Technology, Tijuana, Mexicoe-mail: [email protected]

Nadia Nedjah, State University of Rio de Janeiro, Rio de Janeiro, Brazile-mail: [email protected]

Ngoc Thanh Nguyen, Wroclaw University of Technology, Wroclaw, Polande-mail: [email protected]

Jun Wang, The Chinese University of Hong Kong, Shatin, Hong Konge-mail: [email protected]

More information about this series at http://www.springer.com/series/11156

Valentina Emilia Balas • Lakhmi C. JainBranko KovačevićEditors

Soft Computing ApplicationsProceedings of the 6th InternationalWorkshop Soft Computing Applications(SOFA 2014), Volume 1

123

EditorsValentina Emilia BalasFaculty of Engineering, Department ofAutomation and Applied Informatics

Aurel Vlaicu University of AradAradRomania

Lakhmi C. JainFaculty of Science and TechnologyData Science Institute, BournemouthUniversity

PooleUK

Branko KovačevićUniversity of BelgradeBelgradeSerbia

ISSN 2194-5357 ISSN 2194-5365 (electronic)Advances in Intelligent Systems and ComputingISBN 978-3-319-18295-7 ISBN 978-3-319-18296-4 (eBook)DOI 10.1007/978-3-319-18296-4

Library of Congress Control Number: 2015948723

Springer Cham Heidelberg New York Dordrecht London© Springer International Publishing Switzerland 2016This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or partof the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations,recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmissionor information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilarmethodology now known or hereafter developed.The use of general descriptive names, registered names, trademarks, service marks, etc. in thispublication does not imply, even in the absence of a specific statement, that such names are exempt fromthe relevant protective laws and regulations and therefore free for general use.The publisher, the authors and the editors are safe to assume that the advice and information in thisbook are believed to be true and accurate at the date of publication. Neither the publisher nor theauthors or the editors give a warranty, express or implied, with respect to the material contained herein orfor any errors or omissions that may have been made.

Printed on acid-free paper

Springer International Publishing AG Switzerland is part of Springer Science+Business Media(www.springer.com)

Preface

These volumes constitute the Proceedings of the 6th International Workshop onSoft Computing Applications, or SOFA 2014, held during 24–26 July 2014 inTimisoara, Romania. This edition was organized by the University of Belgrade,Serbia in conjunction with the Romanian Society of Control Engineering andTechnical Informatics (SRAIT)—Arad Section, The General Association ofEngineers in Romania—Arad Section, Institute of Computer Science, Iasi Branchof the Romanian Academy, and IEEE Romanian Section.

Soft Computing concept was introduced by Lotfi Zadeh in 1991 and serves tohighlight the emergence of computing methodologies in which the accent is onexploiting the tolerance for imprecision and uncertainty to achieve tractability,robustness, and low solution cost. Soft computing facilitates the use of fuzzy logic,neurocomputing, evolutionary computing, and probabilistic computing in combi-nation, leading to the concept of hybrid intelligent systems.

The combination of such intelligent systems tools and a large number ofapplications introduces a need for a synergy of scientific and technological disci-plines in order to show the great potential of Soft Computing in all domains.

The book covers a broad spectrum of soft computing techniques, theoretical, andpractical applications employing knowledge and intelligence to find solutions forworld’s industrial, economic, and medical problems.

The conference papers included in these proceedings, published post conference,were grouped into the following areas of research:

• Image, Text and Signal Processing• Intelligent Transportation• Modeling and Applications• Biomedical Applications• Neural Network and Applications• Knowledge-Based Technologies for Web Applications, Cloud Computing,

Security, Algorithms and Computer Networks• Knowledge-Based Technologies• Soft Computing Techniques for Time Series Analysis

v

• Soft Computing and Fuzy Logic in Biometrics• Fuzzy Applications Theory and Fuzzy Control• Bussiness Process Management• Methods and Applications in Electrical Engineering

In SOFA 2014 we had six eminent keynote speakers: Prof. Lakhmi C. Jain(Australia), Prof. Kay Chen Tan (Singapore), Prof. Ioan Dumitrache (Romania),Prof. Dan Ionescu (Canada), Prof. Sheryl Brahnam (USA) and Prof. MargaritaFavorkaya (Russian Federation), and an interesting tutorial of Dr. Jakob Salom(Serbia). Their summarized talks are included in this book.

We especially thank the honorary chair of SOFA 2014, Prof. Lotfi A. Zadeh,who encouraged and motivated us.

We would like to thank the authors of the submitted papers for keeping thequality of the SOFA 2014 conference at high levels. The editors of this bookacknowledge all the authors for their contributions and also the reviewers. We havereceived invaluable help from the members of the International Program Committeeand the chairs responsible for different aspects of the workshop. We appreciate alsothe role of the Special Sessions organizers. Thanks to all of them we were able tocollect many papers on interesting topics and had very interesting presentations andstimulating discussions during the workshop.

For their help with organizational issues of all SOFA editions, we express ourthanks to TRIVENT Company, Mónika Jetzin, and Teodora Artimon for havingcustomized the software Conference Manager, registration of conference partici-pants, and all local arrangements.

Special thanks go to Janus Kacprzyk (Editor-in-Chief, Springer, Advances inIntelligent Systems and Computing Series) for the opportunity to organize thisguest edited volume.

We are grateful to Springer, especially to Dr. Thomas Ditzinger (Senior Editor,Applied Sciences & Engineering Springer-Verlag) for the excellent collaboration,patience, and help during the evolvement of this volume.

We hope that the volumes will provide useful information to professors,researchers, and graduate students in the area of soft computing techniques andapplications and all will find this collection of papers inspiring, informative, anduseful. We also hope to see you at a future SOFA event.

Romania Valentina Emilia BalasUK Lakhmi C. JainSerbia Branko Kovačević

vi Preface

Contents

Part I Image, Text and Signal Processing

A Comparative Study of Text-to-Speech Systems in LabVIEW . . . . . . . 3Manuela Panoiu, Cezara-Liliana Rat and Caius Panoiu

Parallel Neural Fuzzy-Based Joint Classifier Model for GradingAutistic Disorder . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13Anju Pratap, C.S. Kanimozhiselvi, R. Vijayakumar and K.V. Pramod

Image Processing with Android Steganography . . . . . . . . . . . . . . . . . . 27Dominic Bucerzan and Crina Raţiu

Part II Intelligent Transportation

Social Cities: Redistribution of Traffic Flow in CitiesUsing a Social Network Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39Alexandru Topirceanu, Alexandru Iovanovici, Cristian Cosariu,Mihai Udrescu, Lucian Prodan and Mircea Vladutiu

The Computer Assisted Parking of a Bluetooth Controlled CarUsing Fuzzy Logic. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51Caius Panoiu, Manuela Panoiu, Cezara-Liliana Rat and Raluca Rob

A Location-Aware Solution for Predicting Driver’s Destinationin Intelligent Traffic Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67Emilian Necula

Advances in Urban Video-Based Surveillance Systems: A Survey . . . . . 87M. Favorskaya

vii

Traffic and Pedestrian Risk Inference Using Harmonic Systems . . . . . . 103I. Acuña Barrios, E. García, Daniela López De Luise, C. Paredes,A. Celayeta, M. Sandillú and W. Bel

Part III Modeling and Applications

The Electronic Verification of the Weight and the Amountof Food Consumed by Animals in a Farm . . . . . . . . . . . . . . . . . . . . . . 115Doru Anastasiu Popescu and Nicolae Bold

FEM Modeling of Some Raising Effects of the Magnetic LiquidsAround Vertical Conductors with a Current Flow . . . . . . . . . . . . . . . . 125D. Vesa, M. Greconici and I. Tatai

Hard as a Rock or Deformation Controlled? . . . . . . . . . . . . . . . . . . . . 135Gheorghe Sima, Glavan Dan, Popa Alexandru and E. Muncut

Cast-Resin Dry-Type Transformer Thermal ModelingBased on Particle Swarm Optimization . . . . . . . . . . . . . . . . . . . . . . . . 141Davood Azizian and Mehdi Bigdeli

Geometric Model of a Railway Wheel with Irregular Contour . . . . . . . 155T. Mazilu

Grafting, Locations, and Ordinal Dispersion . . . . . . . . . . . . . . . . . . . . 167Tiberiu Spircu

Software Solution for Reliability Analysis Based on InterpolativeBoolean Algebra . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185Nemanja Lilić, Bratislav Petrović and Pavle Milošević

Local Search Algorithms for Solving the CombinatorialOptimization and Constraint Satisfaction Problems . . . . . . . . . . . . . . . 199Y. Kilani, A. Alsarhan, M. Bsoul and A.F. Otoom

Remote Tuning of Magnetron Frequency in an RF Linac . . . . . . . . . . . 213Vijay Sharma, V.K. Madan, S.N. Acharya and K.C. Mittal

Part IV Biomedical Applications

Using Modern Technologies to Facilitate Translating LogicalObservation Identifiers Names and Codes . . . . . . . . . . . . . . . . . . . . . . 219Daniel-Alexandru Jurcau, Vasile Stoicu-Tivadar and Alexandru Serban

Data Analysis for Patients with Sleep Apnea Syndrome:A Complex Network Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231Alexandru Topirceanu, Mihai Udrescu, Razvan Avramand Stefan Mihaicuta

viii Contents

Mobile Applications Supporting Healthy Lifestyle. . . . . . . . . . . . . . . . . 241Oana-Sorina Lupşe, Adrian Căprioru and Lăcrămioara Stoicu-Tivadar

Fuzzy Expert System Prediction of Lumbar Spine SubchondralSclerosis and Lumbar Disk Hernia . . . . . . . . . . . . . . . . . . . . . . . . . . . 249Norbert Gal, Diana Andrei, Vasile Stoicu-Tivadar, Dan Ion Nemeşand Emanuela Nădăşan

Server-Side Image Segmentation and Patient-Related Data Storage . . . . 259Ioan Virag, Lăcrămioara Stoicu-Tivadar, Mihaela Crişan-Vidaand Elena Amăricăi

Dedicated BSN for Personal Indoor Monitoring . . . . . . . . . . . . . . . . . . 267Ştefan Mocanu

Romanian Sign Language Oral Health Corpus in Videoand Animated Avatar Technology . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279Ionut Adrian Chiriac, Lăcrămioara Stoicu-Tivadar and Elena Podoleanu

Hybrid Neuro-Fuzzy Approaches for Abnormality Detectionin Retinal Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 295D. Jude Hemanth, Valentina E. Balas and J. Anitha

Optimistic Multi-granulation Rough Set-Based Classificationfor Neonatal Jaundice Diagnosis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307S. Senthil Kumar, H. Hannah Inbarani, Ahmad Taher Azar,Hala S. Own, Valentina Emilia Balas and Teodora Olariu

Boosted Decision Trees for Vertebral Column Disease Diagnosis . . . . . . 319Ahmad Taher Azar, Hanaa S. Ali, Valentina E. Balas, Teodora Olariuand Rujita Ciurea

Hybrid Invasive Weed Optimization Method for GeneratingHealthy Meals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 335Viorica R. Chifu, Ioan Salomie, Emil Şt. Chifu, Cristina Bianca Pop,Dan Valea, Madalina Lupu and Marcel Antal

Therapeutic Conduct and Management of RehabiliteeTreatment Measured with Zebris Device and AppliedUsing WinSpine Software . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 353Andrei Diana, Poenaru V. Dan, Nemes Dan, Surducan Danand Gal-Nadasan Norbert

A Novel Approach on the Newborns’ Cry Analysis Using ProfessionalRecording and Feature Extraction from the “First Cry”with LabVIEW . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 363F. Feier and I. Silea

Contents ix

Development of a Preliminary Mathematical Model to Predictthe Indoor Radon Concentration in Normal and HighBackground Radiation Areas of Ramsar . . . . . . . . . . . . . . . . . . . . . . . 373S.M.J. Mortazavi, A. Zamani, A. Tavakkoli-Golpayegani and S. Taeb

ASD: ML Perspective for Individual Performance Evaluation . . . . . . . . 379D. López De Luise, M. Fernandez Vuelta, R. Azor, M. Agüero,C. Párraga, N. López, P. Bustamante, M. Marquez, R. Bielli,D. Hisgen, R. Fairbain and S. Planes

Part V Neural Network and Applications

Fermat Number Applications and Fermat Neuron . . . . . . . . . . . . . . . . 403V.K. Madan, M.M. Balas and S. Radhakrishnan

Data Clustering Using a Modified Fuzzy Min-Max NeuralNetwork . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 413Manjeevan Seera, Chee Peng Lim, Chu Kiong Looand Lakhmi C. Jain

Adaptive Neuro-Fuzzy System for Current Prediction in ElectricArc Furnaces . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 423Manuela Panoiu, Loredana Ghiormez and Caius Panoiu

Exact Hessian Matrix Calculation for Complex-Valued NeuralNetworks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 439Călin-Adrian Popa

Functioning State Estimator of Pump-Motor Group of MOP-TypeDrive Mechanisms Using Neural Networks . . . . . . . . . . . . . . . . . . . . . . 457V. Nicolau and M. Andrei

Part VI Knowledge-Based Technologies for Web Applications,Cloud Computing, Security, Algorithms and ComputerNetworks

Self-organizing System for the Autonomic Managementof Collaborative Cloud Applications. . . . . . . . . . . . . . . . . . . . . . . . . . . 469Bogdan Solomon, Dan Ionescu and Cristian Gadea

An Architecture and Methods for Big Data Analysis . . . . . . . . . . . . . . 491Bogdan Ionescu, Dan Ionescu, Cristian Gadea, Bogdan Solomonand Mircea Trifan

Process Mining Functional and Structural Validation . . . . . . . . . . . . . . 515Maria Laura Sebu and Horia Ciocârlie

x Contents

Evaluating the Performance of Discourse Parser Systems . . . . . . . . . . . 525Elena Mitocariu

Considerations Regarding an Algebraic Model for Inferenceand Decision on Heterogeneous Sensory Input . . . . . . . . . . . . . . . . . . . 539Violeta Tulceanu

Integrated Design Pattern for Intelligent Web Applications . . . . . . . . . . 549Zsolt Nagy

Energy Performance Optimization of Wireless Sensor Networks . . . . . . 563Cosmina Illes, Cristian Vasar and Ioan Filip

Jigsaw Inspired Metaheuristic for Selecting the Optimal Solutionin Web Service Composition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 573Viorica Rozina Chifu, Ioan Salomie, Emil Şt. Chifu,Cristina Bianca Pop, Petru Poruţiu and Marcel Antal

Multimedia as a Tool for Leaning Engineering . . . . . . . . . . . . . . . . . . . 585D. López de Luise, J. Gelvez, N. Borromeo, L. Maguet and L. Dima

Educational Assessment Engineering: A Pattern Approach . . . . . . . . . . 605Paul Hubert Vossen

Feasibility of Extracting Unique Signature for Each User Basedon Analysing Internet Usage Behaviours . . . . . . . . . . . . . . . . . . . . . . . 621Rozita Jamili Oskouei

Privacy Preserving Data Mining Survey of Classifications . . . . . . . . . . . 637Mahdi Aghasi and Rozita Jamili Oskouei

A Formal Analysis for RSA Attacks by Term Rewriting Systems . . . . . 651Mohammad Kadkhoda, Anis Vosoogh and Reza Nourmandi-Pour

Part VII Knowledge-Based Technologies

Heuristic Optimization of Wireless Sensor NetworksUsing Social Network Analysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 663Alexandru Iovanovici, Alexandru Topirceanu, Cristian Cosariu,Mihai Udrescu, Lucian Prodan and Mircea Vladutiu

Interactive Applications for Studying Mathematicswith the Use of an Autostereoscopic Display . . . . . . . . . . . . . . . . . . . . . 673Monica Ciobanu, Antoanela Naaji, Ioan Virag and Ioan Dascal

Determining the Similarity of Two Web ApplicationsUsing the Edit Distance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 681Doru Anastasiu Popescu and Dragoș Nicolae

Contents xi

Generative Learning Object Assessment Items for a Setof Computer Science Disciplines . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 691Ciprian-Bogdan Chirila

Performance Metrics for Persistent Routing . . . . . . . . . . . . . . . . . . . . . 701S.N. Orzen

Parity-based Concurrent Error-detection Architecture Appliedto the IDEA NXT Crypto-algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . 713Andreea Bozesan, Flavius Opritoiu and Mircea Vladutiu

xii Contents

Invited Keynote Papers

Decision Support Systems in Practice

Prof. Lakhmi C. JainFaculty of Science and TechnologyData Science Institute, Bournemouth UniversityPooleUKe-mail: [email protected]

Abstract This talk will summarize the research projectson safety undertaken by me and my research team inrecent years. The progress made in developing theintelligent flight data monitoring system for improvingthe safety of aviation operations will be presented.

Short BiographyLakhmi C. Jain, serves as Visiting Professor in Bournemouth University, UK,Adjunct Professor in the Division of Information Technology, Engineering and theEnvironment at the University of South Australia, Australia and University ofCanberra, Australia.

Dr. Jain founded the KES International for providing to a professional com-munity the opportunities for publications, knowledge exchange, cooperation, andteaming. Involving around 5000 researchers drawn from universities and companiesworldwide, KES facilitates international cooperation and generates synergy inteaching and research. KES regularly provides networking opportunities for theprofessional community through one of the largest conferences of its kind in thearea of KES. www.kesinternational.org

His interests focus on artificial intelligence paradigms and their applications incomplex systems, security, e-education, e-healthcare, unmanned air vehicles, andintelligent agents.

xiii

Advances in Evolutionary Multi-objective Optimizationand Applications

Kay Chen TanNational University of Singapore, Singaporee-mail: [email protected]

Abstract Multi-objective optimization is widely foundin many fields, such as logistics, economics, engineer-ing, or whenever optimal decisions need to be made inthe presence of trade-offs. The problem is challengingbecause it involves the simultaneous optimization ofseveral conflicting objectives in the Pareto optimalsense and requires researchers to address many issuesthat are unique to MO problems.

This talk will first provide an overview of evolutionary computation formulti-objective optimization (EMO). It will then discuss challenges faced in EMOresearch and present various EMO algorithms for good optimization performance.The talk will also discuss the application of evolutionary computing techniques forsolving engineering problems, such as logistics, design optimization, and prog-nostic applications.

Short BiographyDr. Kay Chen TAN received the B.E. degree with First Class Honors in Electronicsand Electrical Engineering, and the Ph.D. degree from the University of Glasgow,Scotland, in 1994 and 1997, respectively. He is currently associate professor in theDepartment of Electrical and Computer Engineering, National University ofSingapore.

Dr. Tan actively pursues research in the area of computational intelligence, withapplications to multi-objective optimization, scheduling, automation, data mining,and games. He has published over 100 journal papers, over 100 papers in con-ference proceedings, co-authored five books including Multiobjective EvolutionaryAlgorithms and Applications (Springer-Verlag, 2005), Modern IndustrialAutomation Software Design (John Wiley, 2006; Chinese Edition, 2008),Evolutionary Robotics: From Algorithms to Implementations (World Scientific,2006), Neural Networks: Computational Models and Applications(Springer-Verlag, 2007), and Evolutionary Multi-objective Optimization inUncertain Environments: Issues and Algorithms (Springer-Verlag, 2009), co-editedfour books including Recent Advances in Simulated Evolution and Learning (WorldScientific, 2004), Evolutionary Scheduling (Springer-Verlag, 2007), MultiobjectiveMemetic Algorithms (Springer-Verlag, 2009), and Design and Control of IntelligentRobotic Systems (Springer-Verlag, 2009).

Dr. Tan has been an invited keynote/plenary speaker for over 40 internationalconferences in the area of computational intelligence. He is an elected member ofAdCom for IEEE Computational Intelligence Society from 2014 to 2016. He serves

xiv Invited Keynote Papers

as the General Co-Chair for 2016 IEEE World Congress on ComputationalIntelligence to be held in Vancouver, Canada. He has also served in the interna-tional program committee for over 100 conferences and was involved in theorganizing committee of over 50 international conferences, such as the GeneralCo-Chair for 2007 IEEE Congress on Evolutionary Computation in Singapore, etc.He has actively served in various committees of the IEEE ComputationalIntelligence Society, such as conference committee, publication committee, nomi-nation committee, awards committee, etc. He was also a Distinguished Lecturerof the IEEE Computational Intelligence Society from 2011 to 2013 and served asthe Chair of Evolutionary Computation Technical Committee from 2008 to 2009.

Dr. Tan was the Editor-in-Chief of IEEE Computational Intelligence Magazinefrom 2010 to 2013. He currently serves as an Associate Editor/Editorial Boardmember of over 20 international journals, such as IEEE Transactions onEvolutionary Computation, IEEE Transactions on Cybernetics, IEEE Transactionson Computational Intelligence and AI in Games, Evolutionary Computation (MITPress), European Journal of Operational Research, Journal of Scheduling etc.

Dr. Tan is a Fellow of IEEE. He was awarded “Outstanding Early CareerAward” from the IEEE Computational Intelligence Society in 2012 for his con-tributions to evolutionary computation in multi-objective optimization. He alsoreceived the “Recognition Award” from the International Network for EngineeringEducation & Research (iNEER) in 2008 for his outstanding contributions toengineering education and research. He was a winner of the NUS OutstandingEducator Awards in 2004, the Engineering Educator Awards (2002, 2003, 2005),the Annual Teaching Excellence Awards (2002–2006), the Honour Roll Awards in2007, and a Fellow of the NUS Teaching Academic from 2009 to 2012.

Hybrid Intelligent Techniques in Autonomous Complex Systems

Ioan DumitracheRomanian Academye-mail: [email protected]

Abstract The complexity of physical infrastructures, theprogress of knowledge in computational intelligence, andthe increasing integration of computers, communica-tions, and control strategies with physical processes haveimposed a new vision on intelligent complex systems.

The paper presents some architectures of autono-mous complex systems where the synergy of theintelligent methodology is thoroughly exploited.

Invited Keynote Papers xv

There are presented some hybrid architectures as: neuro-fuzzy, geno-fuzzy,geno-neuro-fuzzy, and their real impact on the control performances for differenttypes of applications. There are also presented some results in the fields of roboticsand intelligent manufacturing.

Special attention is paid to the connections between computational intelligenceand the new paradigm of Intelligent Complex Cyber-Physical Systems.

There are underlined some new research directions on these advanced integrativetechnologies: computer, communication, control and cognition, deeply enabled inphysical systems.

Short BiographyProf. Dr. Ing. Ioan Dumitrache graduated the Faculty of Energetics of thePolytechnical Institute of Bucharest in 1962 and received in 1970 a Ph.D. from thesame institute in the field of Automatic Control. He is, from 1987, Ph.D. advisor inthe field of Control and Systems Engineering.

He is a Fullbright Fellow (1970) with Oklahoma State University and invitedprofessor of this university (1991, 1995) and of the Technical University of Vienna(1994–1999). Prof. Dumitrache is a corresponding member of the RomanianAcademy (since 2003), member of the Technical Sciences Academy (since 1999)and Doctor Honoris Causa of Polytechnical University of Timisoara, University ofPitesti, University of Craiova, University of Arad and Technical University of Cluj.His research has addressed several areas, from automatic control to Cyber PhysicalSystems, including adaptive control, mobile and autonomous robotics, intelligentcontrol systems, smart manufacturing, knowledge management, bioprocess controland so on.

He is an author of more than 250 scientific papers, published in internationaljournals and conference proceedings, author of more than 20 books and mono-graphs edited by national and international publishing houses, editor of more than25 volumes and coordinator of research teams for more than 75 projects, nationallyand internationally funded.

He was in the IPC of more than 100 international conferences, chaired orco-chaired more than 25, is the President of SRAIT–NMO of IFAC, member in theeditorial board of several international scientific journals and Editor in Chief ofCEAI Journal.

He was the President of CNCSIS between 1998 and 2011, Romanian repre-sentative in IFAC since 1979 and member in the Governors Board of JRC (2005–2013) and NSF (2003–2011).

xvi Invited Keynote Papers

Contemporary Software Challenges: Big Data and CloudComputing

Prof. Dan IonescuSchool of Electrical Engineering and Computer ScienceUniversity of Ottawae-mail: [email protected]

Abstract Cloud computing and data storage optionslowering down the cost of hosting server farms, the rushfor interpreting large amounts of data for predicting theadvent of events of interest for business, politicians,social behaviors, or endemics changed the way the datawere regarded and produced in the last decade.

The success stories of the results obtained by theNarval, the big data analytics used by the winner of the 2012 Presidential Electionsin the US, demonstrated that it is not enough to have or host a huge amount of data,rather there is a need to know how to use it, too.

Recently, industries become interested in the high potential of big data, andmany government agencies announced major plans to accelerate big data researchand applications.

However, the data deluge in the big data era brings about huge challenges to dataacquisition, storage, management, and especially in data analysis.

Many solutions for big data storage and processing have been experimentedwith. As such permanent storage and management of large-scale disordered data-sets, distributed file systems, and NoSQL databases are mentioned as good choicesfor approaching big data projects.

Cloud computing’s main goal is to provide hosting to huge computing andstoring resources under concentrated management, thus providing big data appli-cations with fine-grained computing and storage capacity.

In this talk, Dr. Ionescu will review the background and state of the art of bigdata research related to software technologies. After focusing on data generation,data acquisition, data storage, and data analysis discussing the technical challengesto the latest advances in the associated software technologies, the talk will make anattempt to associate big data analysis algorithms with Digital Signal Processing(DSP) techniques. Several representative applications of big data, includingenterprise management, Internet of Things, online social networks, e-healthapplications, collective intelligence, and smart grid will be presented at the end.

Short BiographyDr. Dan Ionescu is a Professor at the University of Ottawa (the Capital CityUniversity). He is the Director of the Network Computing and ControlTechnologies (NCCT) research laboratory since 1999. Former director of ComputerEngineering at the above university from 1996 to 2000, Dr. Dan Ionescu is a seniormember of various IEEE, IFIP, and IFAC groups.

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His research at the University of Ottawa spans domains such as ArtificialIntelligence, Machine Vision, Distributed Computing, Network Computing andControl, Internetworking Technologies, Web Collaboration platforms, and others.His contributions to Expert Systems, Image Processing, Temporal Logic, DiscreteEvent and Real-Time Systems materialized in a series of more than 250 papers, anda book. A series of industrial and governmental research grants were obtained byDr. Ionescu which were used for equipping the NCCT with state-of-the-art high-endrouting and switching devices, and large server farms, connected directly to Ca*net4, Abelene, GEANT, and other main research-public networks. His research workswere at the foundations of a few start-ups such as Diatem Networks, ARTIS, andMgestyk.

His recent research efforts are directed at collaborative multimedia platforms,autonomic computing, big data, IoT, and new man–machine interface paradigm.Results of his research materialized into a Big Data Platform called M3Data in useat the Government of Canada.

DataFlow SuperComputing for ExaScale Applications

Jakob SalomSchool of Electrical EngineeringUniversity of Belgrade, Serbiae-mail: [email protected]

Abstract The strength of DataFlow computers, com-pared to ControlFlow ones, is in the fact that theyaccelerate the data flows and application loops by one ormore orders of magnitude; how many orders of mag-nitude—that depends on the amount of data reusabilitywithin the loops. This feature is enabled by compilingdown to levels much below the machine code, which

brings important effects: much lower execution time, equipment size, and powerdissipation.

The presentation’s goal is to describe and explain DataFlow programmingparadigm:

Rather than writing one program to control the flow of data through the com-puter, one has to write a program to configure the hardware of the computer, so thatinput data, when it arrives, can flow through the computer hardware in only oneway (the way the computer hardware has been configured). This is best achieved ifthe serial part of the application continues to run on the ControlFlow host and theparallel part of the application (BigData crunching and loops) is migrated into aDataFlow accelerator.

The presentation contains a few examples of successful implementations ofDataFlow applications.

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Short BiographyDr. Jakob Salom graduated from University of Belgrade, School of ElectricalEngineering in 1975, and started working in an IT company that was lateracknowledged as the fastest growing IT company in the region.

During his tenure in the industry, his teams developed complete solutions forstate payment systems agency, for banks and insurance companies, developed andmanaged large banking networks, and developed and established (in 1988) the firstelectronic banking network. He is now a consultant to Mathematical Institute ofSerbian Academy of Sciences and Arts and to University of Belgrade, School ofElectrical Engineering. His domains of expertise in recent years are:

• Use of Maxeler FPGA accelerators for HPC computing,• Data warehousing, data archiving and data mining, and• Cloud computing.

Advances in Urban Video-Based Surveillance Systems

Prof. Dr. Margarita N. FavorskayaRussian Federatione-mail: [email protected]

Abstract In recent years, a number of systems based onautomatic video analysis for human security, trafficsurveillance, home automation, and other applicationsare developed. Techniques of object and event recog-nition, behavior understanding, and action representa-tion form a basis for such systems. The activityrecognition in urban environment is the main problemof current investigations, which is built on data and

knowledge representations of objects and reasoning scenarios. Such techniques arestrongly dependent on low-level and middle-level vision tasks such as the filteringand motion segmentation following tracking.

The focus of this presentation is to discuss the applications of intelligent tech-nologies and systems in vision-based urban surveillance. The application of intel-ligent paradigms improves efficiency and safety on the road networks (e.g., trafficalerts, estimated time to reach a destination and alternative routes, unmanned cars).The analysis of eyes and hands activity for automatic driving risk detection is oneof the crucial problems in urban environment. Also car manufacturers, publictransportation services, and social institutions are interested in detecting pedestriansin the surroundings of a vehicle to avoid dangerous traffic situations. The researchon 3D computer graphic for the model representation of actual urban environmentis also presented.

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Short BiographyMargarita Favorskaya received her engineering diploma from Rybinsk StateAviation Technological University, Russia, in 1980 and was awarded a Ph.D. fromSt. Petersburg State University of Aerospace Instrumentation, St. Petersburg, in1985. Since 1986 she is working in the Siberian State Aerospace University,Krasnoyarsk, where she is responsible for the Digital Image and Videos ProcessingLaboratory. Presently, she is a Full Professor and the Head of Department ofInformatics and Computer Techniques, Siberian State Aerospace University. Hermain research interests are in the areas of digital image and video processing,pattern recognition, fractal image processing, artificial intelligence, informationtechnologies, and remote sensing. She has authored/co-authored more than 130publications.

Margarita Favorskaya is a member of KES International organization and theIPC member of a number of national and international conferences.

She is on the editorial board of International Journal of Computer andInformation Science and International Journal of Intelligent Decision Technology.She has won a number of awards from the Ministry of Education and Science of theRussian Federation for significant contribution in educating and training a numberof highly qualified specialists over a number of years.

Robust Ensemble Learning for Data Mining

Sheryl BrahnamProfessor and Daisy Portenier Loukes ResearchFellow in the School of COB, Computer InformationSystems Department at Missouri State Universitye-mail: [email protected]

Abstract The field of machine learning is expanding ata rapid pace, especially in medicine. This pace is beingdriven by an information avalanche that is unprece-dented. To handle these data, specialized research dat-abases and metadatabases have been established inmany domains. Machine learning technology applied to

many of these databases has the potential of revolutionizing scientific knowledge.In the area of bioinformatics, for example, many large-scale sequencing projectshave produced a tremendous amount of data on protein sequences. This has createda huge gap between the number of identified sequences and the number of identifiedprotein structures. Machine learning methods capable of fast and accurate predictionof protein structures hold out the promise of not only reducing this gap but also ofincreasing our understanding of protein heterogeneity, protein-protein interactions,and protein–peptide interactions, which in turn would lead to better diagnostic toolsand methods for predicting protein/drug interactions.

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What are needed to handle the problems of today are not yesteryear’s solutions,which were typically based on training a single classifier on a set of descriptorsextracted from a single source of data. It is generally acknowledged that ensemblesare superior to single classifiers, and much recent work in machine learning hasfocused on methods for building ensembles. In protein prediction some powerfulensembles have recently been proposed that utilize the combined informationavailable in multiple descriptors extracted from protein representations. Particularlyinteresting, however, are ensemble systems combining multiple descriptorsextracted from many protein representations that are trained across many databases.In this address, I shall describe the ensemble research that I am involved in withDrs. Loris Nanni and Alessandra Lumini. My focus will be on describing themethods our research group uses for building ensemble systems that work extre-mely well across multiple databases. Powerful general purpose ensembles are ofvalue to both the general practitioner and expert alike. Such classifier systems canserve as a base for building systems optimized for a given problem. Moreover,general purpose ensembles can further our general understanding of the classifi-cation problems to which they are applied.

Short BiographySheryl Brahnam is a Professor and Daisy Portenier Loukes Research Fellow in theschool of COB Computer Information Systems Department at Missouri StateUniversity. She is the Director/Founder of Missouri State University’s infantClassification Of Pain Expressions (COPE) project. Her interests focus on medicaldecision support systems, machine learning, bioinformatics, biometrics, embodiedconversational agents, and computer abuse. She has served as guest editor ofseveral books and special issues on virtual reality and rehabilitation, technologiesfor inclusive well-being, agent abuse, and computational systems for medicine. Shehas published extensively in journals such as Bioinformatics, Pattern Recognition,Artificial Intelligence in Medicine, Amino Acids, Journal of Theoretical Biology,Expert Sytems with Applications, Decision Support Systems, NeuroComputing,PLos One, and Interacting with Computers, as well as in many conferences devotedto human–computer interaction, machine learning, and artificial intelligence. Moreabout Dr. Brahnam can be found here: http://www.brahnam.info.

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