Intelligent Decision Technologies 2019

1. Front Matter

   Pages i-xxvi

   PDF

2. Signal Processing and Pattern Recognition for Decision Making Systems

   1. Front Matter

      Pages 1-1

      PDF

   2. Quality Improvement Through the Preventive Detection of Potentially Defective Products in the Automotive Industry by Means of Advanced Artificial Intelligence Techniques

      • Marco Vannucci, Valentina Colla

      Pages 3-12

   3. An Efficient Non-Blind Steering Vector Estimation Technique For Robust Adaptive Beamforming With Multistage Error Feedback

      • Ghattas Akkad, Ali Mansour, Bachar Elhassan, Jalal Srar, Mohamad Najem, Frederic Leroy

      Pages 13-23

   4. The P2P–Grid–Agent Distributed Platform: A Distributed and Dynamic Platform for Developing and Executing Large-Scale Application Based on Deep Learning Techniques

      • Hamdi Hassen, Trifa Zied, Khemakhem Maher

      Pages 25-35

   5. Recognition of Daily Human Activities Using Accelerometer and sEMG Signals

      • Giorgio Biagetti, Paolo Crippa, Laura Falaschetti, Simona Luzzi, Claudio Turchetti

      Pages 37-47

   6. Classification of Alzheimer’s Disease from Structural Magnetic Resonance Imaging using Particle-Bernstein Polynomials Algorithm

      • Giorgio Biagetti, Paolo Crippa, Laura Falaschetti, Simona Luzzi, Riccardo Santarelli, Claudio Turchetti

      Pages 49-62

3. Intelligent Data Processing and Software Paradigms

   1. Front Matter

      Pages 63-63

      PDF

   2. Selecting Informative Samples for Animal Recognition in the Wildlife

      • Margarita Favorskaya, Vladimir Buryachenko

      Pages 65-75

   3. Genetic Algorithm for Selecting Relevant Regions in Digital Watermarking Scheme for 2D/3D Medical Images

      • Margarita Favorskaya, Eugenia Savchina

      Pages 77-87

   4. A Transport Coding Gain Estimation in the Conditions of Time Limitation for Maximum Acceptable Message Delay

      • Evgenii Krouk, Anton Sergeev, Mikhail Afanasev

      Pages 89-99

   5. Modeling Customers Speed of Movement from POS- and RFID-Data

      • Marina Kholod, Peter Golubtsov, Arthur Varlamov, Svyatoslav Filatov, Katsutoshi Yada

      Pages 101-111

   6. Discovering and Analyzing Binary Codes Based on Monocyclic Quasi-Orthogonal Matrices

      • Alexander Sergeev, Vadim Nenashev, Anton Vostrikov, Alexander Shepeta, Daniil Kurtyanik

      Pages 113-123

   7. The Study of Generators of Orthogonal Pseudo-random Sequences

      • Yuriy Balonin, Leonid Abuzin, Alexander Sergeev, Vadim Nenashev

      Pages 125-133

   8. Portraits of Orthogonal Matrices as a Base for Discrete Textile Ornament Patterns

      • Alexander Sergeev, Mikhail Sergeev, Anton Vostrikov, Daniil Kurtyanik

      Pages 135-143

   9. Training Sample Generation Software

      • Anton Vostrikov, Stanislav Chernyshev

      Pages 145-151

4. Interdisciplinary Approaches in Data Science and Digital Transformation Practice

   1. Front Matter

      Pages 153-153

      PDF

   2. Business AI Alignment Modeling Based on Enterprise Architecture

      • Hironori Takeuchi, Shuichiro Yamamoto

      Pages 155-165

   3. Eye Tracking as a Method of Neuromarketing for Attention Research—An Empirical Analysis Using the Online Appointment Booking Platform from Mercedes-Benz

      • Veit Etzold, Anika Braun, Tabea Wanner

      Pages 167-182

   4. A Concept of an Interactive Web-Based Machine Learning Tool for Individual Machine and Production Monitoring

      • Marina Burdack, Manfred Rössle

      Pages 183-193

The book presents a collection of peer-reviewed articles from the 11th KES International Conference on Intelligent Decision Technologies (KES-IDT-19), held Malta on 17–19 June 2019. The conference provided opportunities for the presentation of new research results and discussion about them. It was also an opportunity to generation of new ideas in the field of intelligent decision making. The range of topics explored is wide, and covers methods of classification, prediction, data analysis, decision support, modelling and many more in such areas as finance, cybersecurity, economy, health, management and transportation. The topics cover also problems of data science, signal processing and knowledge engineering.

• Intelligent Systems
• Intelligent Decision Technologies
• Decision Support Systems
• IDT 2019
• Smart Digital Futures 2019

• Department of Information Systems, Gdynia Maritime University, Gdynia, Poland

  Ireneusz Czarnowski

• Bournemouth University and KES International, Poole, UK

  Robert J. Howlett

• University of Canberra, Canberra, Australia

  Lakhmi C. Jain

Ireneusz Czarnowski is a Professor at the Gdynia Maritime University. He holds B.Sc. and M.Sc. degrees in Electronics and Communication Systems from the same University. He gained the doctoral degree in the field of computer science in 2004 at Faculty of Computer Science and Management of Poznan University of Technology. In 2012, he earned a postdoctoral degree in the field of computer science in technical sciences at Wroclaw University of Science and Technology. His research interests include artificial intelligence, machine learning, evolutionary computations, multi-agent systems, data mining and data science. He is an Associate Editor of the Journal of Knowledge-Based and Intelligent Engineering Systems, published by the IOS Press, and a reviewer for several scientific journals.

Dr. Robert Howlett is the Executive Chair of KES International, a non-profit organization that facilitates knowledge transfer and the dissemination of research results in areas including Intelligent Systems, Sustainability, and Knowledge Transfer.  He is a Visiting Professor at Bournemouth University in the UK. His technical expertise is in the use of intelligent systems to solve industrial problems. He has been successful in applying artificial intelligence, machine learning and related technologies to sustainability and renewable energy systems; condition monitoring, diagnostic tools and systems; and automotive electronics and engine management systems.  His current research work is focussed on the use of smart microgrids to achieve reduced energy costs and lower carbon emissions in areas such as housing and protected horticulture.

Lakhmi C. Jain, BE(Hons), M.E., Ph.D., Fellow (IE Australia) is a member of the Faculty of Education, Science, Technology & Mathematics at the University of Canberra and the University of Technology Sydney, both in Australia. He is a Fellow of the Institution of Engineers Australia. Professor Jain founded KES International, whichprovides professional communities with opportunities for publication, knowledge exchange, cooperation and teaming. His interests include artificial intelligence paradigms and their applications in complex systems, security, e-education, e-healthcare, unmanned aircraft and intelligent agents.

Policies and ethics