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Proceedings of the 23rd Asia Pacific Symposium on Intelligent and Evolutionary Systems

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Hiroshi Sato

    1. Department of Computer Science, National Defense Academy of Japan, Yokosuka-shi, Japan

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  2. Saori Iwanaga

    1. Faculty of Maritime Safety Technology, Japan Coast Guard Academy, Wakabacho, Japan

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    You can also search for this editor in PubMed   Google Scholar

  3. Akira Ishii

    1. Department of Applied Mathematics and Physics, Tottori University, Tottori, Japan

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  • Presents recent research on intelligent and evolutionary systems
  • Discusses the proceedings of the 23rd Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES 2019), held in Tottori, Japan, during December 6–8 2019
  • Serves as an interdisciplinary book targeting toward researchers in applied and computer science

Part of the book series: Proceedings in Adaptation, Learning and Optimization (PALO, volume 12)

Included in the following conference series:

Conference proceedings info: IES 2019.

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Table of contents (25 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Ensemble Learning to Generate Virtual Data for Pattern Recognition and Its Possibility of Application to Strategy Inference in Table Tennis

    • Isao Hayashi, Honoka Irie
    Pages 1-3

  3. The Rise of Smart Contract and Its Complex Impacts on the Digital Ecosystem

    • Yuji Aruka
    Pages 4-16

  4. Automatic Collision Avoidance Using Deep Reinforcement Learning with Grid Sensor

    • Ryohei Sawada
    Pages 17-32

  5. Two Way Allocation Methods in SAVS for Large Depopulated Area

    • Sho Iwata, Keiji Suzuki
    Pages 33-45

  6. Proposal of Mathematical Model of Prediction of Human Movement Using Position Information

    • Shunsuke Hatadani, Yuki Ohira, Akira Ishii, Yasuko Kawahata
    Pages 46-51

  7. Public Transport Smart Card Data Analysis Using Tucker Decomposition

    • Mio Hosoe, Masashi Kuwano
    Pages 52-66

  8. Estimating Impressions for Clothing, Landscape, and Indoor Images Using CNN

    • Mizuki Kambe, Soichiro Yokoyama, Tomohisa Yamashita, Hidenori Kawamura
    Pages 67-78

  9. Block-Based Neural Network High Speed Optimization

    • Kundo Lee, Tomoki Hamagami
    Pages 79-92

  10. An Improved Auto-encoder Based on 2-Level Prioritized Experience Replay for High Dimension Skewed Data

    • Xin Li, Tomoki Hamagami
    Pages 93-105

  11. Multi-task Learning Using Online Fine-Tuning Considering the Importance of Each Filter

    • Shota Ikawa, Yuji Sato
    Pages 106-117

  12. Visualizing Deep Q-Learning to Understanding Behavior of Swarm Robotic System

    • Xiaotong Nie, Motoaki Hiraga, Kazuhiro Ohkura
    Pages 118-129

  13. A Study of Upper Tropospheric Circulations over the Northern Hemisphere Prediction Using Multivariate Features by ConvLSTM

    • Ekasit Phermphoonphiphat, Tomohiko Tomita, Masayuki Numao, Ken-ichi Fukui
    Pages 130-141

  14. Learning Localization Skills of Soccer Robot Using by Simulated Omni-Vision Camera

    • Naoya Horio, Masao Kubo, Hiroshi Sato
    Pages 142-155

  15. Examination of Analysis Method of Opinion Distribution in News Media Transferred on Web

    • Yasuko Kawahata
    Pages 156-166

  16. Opinion Distribution Analysis of Video Media Related to Social Life

    • Yasuko Kawahata
    Pages 167-174

  17. Quantitative Consideration of Spatio-Temporal Information on Education and Culture in Japan Using Telephone Directory Archive Data

    • Yasuko Kawahata
    Pages 175-182

  18. Analyzing Urban Resilience Using Temporal and Spatial Archive Information Before and After a Disaster – Perspective of SDGs

    • Yasuko Kawahata
    Pages 183-193

  19. Detecting Stock Market Bubbles Based on the Cross-Sectional Dispersion of Stock Prices

    • Takayuki Mizuno, Takaaki Ohnishi, Tsutomu Watanabe
    Pages 194-202

  20. Feasibility Study on Multi-agent Simulations of a Seasonal Influenza Epidemic in a Closed Space

    • Saori Iwanaga, Hajime Yoshida, Shigenori Kinjo
    Pages 203-215
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Other volumes

  1. Proceedings of the 23rd Asia Pacific Symposium on Intelligent and Evolutionary Systems

Keywords

About this book

This book presents selected papers from the 23rd Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES 2019), which was held in Tottori, Japan, on December 6–8, 2019.

Today, various types of intelligent system can be found everywhere. However, none of them can be developed or understood from only one perspective. As such, this book collects unique ways of thinking about intelligent systems.

It discusses evolutionary and complex adaptive systems, which have been useful approaches for tackling intelligent systems. It also examines the recent developments in the field of artificial intelligence that are driving research on intelligent systems.

Addressing topics related to intelligent transport systems, machine learning and neural networks, data science and decision analytics, evolutionary and nature-inspired computation, and agents and complex systems, this book is a valuable resource for researchers and practitioners wanting to develop or understand intelligent and evolutionary systems.

 

Editors and Affiliations

  • Department of Computer Science, National Defense Academy of Japan, Yokosuka-shi, Japan

    Hiroshi Sato

  • Faculty of Maritime Safety Technology, Japan Coast Guard Academy, Wakabacho, Japan

    Saori Iwanaga

  • Department of Applied Mathematics and Physics, Tottori University, Tottori, Japan

    Akira Ishii

Bibliographic Information

  • Book Title: Proceedings of the 23rd Asia Pacific Symposium on Intelligent and Evolutionary Systems

  • Editors: Hiroshi Sato, Saori Iwanaga, Akira Ishii

  • Series Title: Proceedings in Adaptation, Learning and Optimization

  • DOI: https://doi.org/10.1007/978-3-030-37442-6

  • 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 2020

  • Hardcover ISBN: 978-3-030-37441-9Published: 05 December 2019

  • Softcover ISBN: 978-3-030-37444-0Published: 06 December 2020

  • eBook ISBN: 978-3-030-37442-6Published: 04 December 2019

  • Series ISSN: 2363-6084

  • Series E-ISSN: 2363-6092

  • Edition Number: 1

  • Number of Pages: XI, 286

  • Number of Illustrations: 57 b/w illustrations, 178 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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