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Advances in Intelligent Systems Research and Innovation

  • Book
  • © 2022

Overview

Editors:
  1. Vassil Sgurev

    1. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria

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  2. Vladimir Jotsov

    1. University of Library Studies and Information Technologies, Sofia, Bulgaria

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  3. Janusz Kacprzyk

    1. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

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  • Represents the experience on a broad range of intelligent systems and hints how to avoid anticipated conflicts and problems during multidisciplinary innovations
  • Covers topics from Industry 4.0 and/or Internet of Things through modern machine learning and software agent applications to open data science big data/advance analytics/visual analytics/text mining/web mining/knowledge discovery/deep data mining issues
  • Includes essential content for most smart/control systems, cyber security, bioinformatics, virtual reality, robotics, and mathematical modelling

Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 379)

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About this book

This book represents the experience of successful researchers from four continents on a broad range of intelligent systems, and it hints how to avoid anticipated conflicts and problems during multidisciplinary innovative research from Industry 4.0 and/or Internet of Things through modern machine learning, and software agent applications to open data science big data/advance analytics/visual analytics/text mining/web mining/knowledge discovery/deep data mining issues. The considered intelligent part is essential in most smart/control systems, cyber security, bioinformatics, virtual reality, robotics, mathematical modelling projects, and its significance rapidly increases in other technologies. Theoretical foundations of fuzzy sets, mathematical and non-classical logic also are rapidly developing.

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Table of contents (21 chapters)

  1. Front Matter

    Pages i-vi
    Download chapter PDF

  2. Balancing Exploration and Exploitation in Forward Model Learning

    • Alexander Dockhorn, Rudolf Kruse
    Pages 1-19

  3. Universal Adversarial Perturbation Generated by Using Attention Information

    • Zifei Wang, Xiaolin Huang, Jie Yang, Nikola Kasabov
    Pages 21-39

  4. Framework and Development Process for IoT Data Gathering

    • Mika Saari, Petri Rantanen, Sami Hyrynsalmi, David Hästbacka
    Pages 41-60

  5. Automated Environmental Mapping with Behavior Trees

    • Francisco Garcia Rosas, Frank Hoeller, Frank E. Schneider
    Pages 61-85

  6. Multi-objective Automatic Clustering with Gene Rearrangement and Cluster Merging

    • Hongchun Qu, Li Yin, Xiaoming Tang
    Pages 87-127

  7. Assessment of Deep Learning Models for Human Activity Recognition on Multi-variate Time Series Data and Non-targeted Adversarial Attack

    • Mahbuba Tasmin, Sharif Uddin Ruman, Taoseef Ishtiak, Arif-ur-Rahman Chowdhury Suhan, Redwan Hasif, Shahnawaz Zulminan et al.
    Pages 129-159

  8. Complex Multivalued Hierarchical Logic (HS-Logic)

    • Vassil Sgurev
    Pages 161-172

  9. Design Considerations for a Multiple Smart-Device-Based Personalized Learning Environment

    • Masashi Katsumata
    Pages 173-184

  10. Intelligent Assistive Sensors and Smart Systems for the Control and Analysis of Driver Reaction Times

    • David Sanders, Malik Haddad, Giles Tewkesbury, Tom Barker, Martin Langner, Alex Gegov
    Pages 185-203

  11. Implementation and Experimental Validation of the IEC 63047 Standard for Data Transfer in Radiological and Nuclear Robotic Applications

    • Frank E. Schneider, Dennis Wildermuth, Francisco Garcia Rosas, Jan Paepen
    Pages 205-239

  12. Data Science Modeling and Constraint-Based Data Selection for EEG Signals Denoising Using Wavelet Transforms

    • Magdalena Garvanova, Ivan Garvanov, Vladimir Jotsov
    Pages 241-267

  13. Intuitionistic Fuzziness, Standard and Extended Modality

    • Krassimir Atanassov
    Pages 269-285

  14. Introduction to Octopus-Inspired Soft Robots: Pipe-Climbing Robot TAOYAKA-S II and Ladder-Climbing Robot MAMEYAKA

    • Kazuyuki Ito, Yoshihiro Homma, Hiroaki Shimizu, Yusei Sakuhara
    Pages 287-313

  15. Automatic Log Analysis to Prevent Cyber Attacks

    • Andre Brandao, Petia Georgieva
    Pages 315-339

  16. Generalized Net Model for Collecting, Evaluating and Including of Facts in the Educational Content

    • Krassimir Atanassov, Anthony Shannon, Evdokia Sotirova, Valentin Vasilev, Sotir Sotirov
    Pages 341-348

  17. Virtualization of Things in a Smart Agriculture Space

    • Stanimir Stoyanov, Todorka Glushkova, Ivan Popchev, Lyubka Doukovska
    Pages 349-368

  18. Turbine Hill Chart Generation Using Artificial Neural Network

    • Arlindo Rodrigues Galvão Filho, Filipe de S. L. Ribeiro, Rafael Viana de Carvalho, Clarimar José Coelho
    Pages 369-383

  19. Stimuli-Based Control of Negative Emotions in a Digital Learning Environment

    • Rossitza Kaltenborn, Mincho Hadjiski, Stefan Koynov
    Pages 385-416

  20. Intelligent Network-Flow Solutions with Risks at Transportation of Products

    • Vassil Sgurev, Lyubka Doukovska, Stanislav Drangajov
    Pages 417-439
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Editors and Affiliations

  • Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Vassil Sgurev

  • University of Library Studies and Information Technologies, Sofia, Bulgaria

    Vladimir Jotsov

  • Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

Bibliographic Information

  • Book Title: Advances in Intelligent Systems Research and Innovation

  • Editors: Vassil Sgurev, Vladimir Jotsov, Janusz Kacprzyk

  • Series Title: Studies in Systems, Decision and Control

  • DOI: https://doi.org/10.1007/978-3-030-78124-8

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Hardcover ISBN: 978-3-030-78123-1Published: 04 November 2021

  • Softcover ISBN: 978-3-030-78126-2Published: 05 November 2022

  • eBook ISBN: 978-3-030-78124-8Published: 03 November 2021

  • Series ISSN: 2198-4182

  • Series E-ISSN: 2198-4190

  • Edition Number: 1

  • Number of Pages: VI, 496

  • Number of Illustrations: 79 b/w illustrations, 182 illustrations in colour

  • Topics: Computational Intelligence, Complex Systems

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