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Complex, Intelligent and Software Intensive Systems

Proceedings of the 15th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS-2021)

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Leonard Barolli

    1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

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  2. Kangbin Yim

    1. Department of Information Security Engineering, Soonchunhyang University, Asan, Korea (Republic of)

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    You can also search for this editor in PubMed   Google Scholar

  3. Tomoya Enokido

    1. Faculty of Bussiness Administration, Rissho University, Tokyo, Japan

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    You can also search for this editor in PubMed   Google Scholar

  • Presents recent research on complex, intelligent, and software intensive systems
  • Includes the proceedings of the 15th International Conference on Complex, Intelligent, and Software Intensive Systems, which took place in Asan, Korea, on July 1–3, 2021
  • Is written by experts in the field

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 278)

Included in the following conference series:

Conference proceedings info: CISIS 2021.

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About this book

This book includes the proceedings of the 15th International Conference on Complex, Intelligent, and Software Intensive Systems, which took place in Asan, Korea, on July 1–3, 2021. Software intensive systems are systems, which heavily interact with other systems, sensors, actuators, devices, and other software systems and users. More and more domains are involved with software intensive systems, e.g., automotive, telecommunication systems, embedded systems in general, industrial automation systems, and business applications. Moreover, the outcome of web services delivers a new platform for enabling software intensive systems.

Complex systems research is focused on the overall understanding of systems rather than its components. Complex systems are very much characterized by the changing environments in which they act by their multiple internal and external interactions. They evolve and adapt through internal and external dynamic interactions. 

The development of intelligent systems and agents, which is each time more characterized by the use of ontologies and their logical foundations build a fruitful impulse for both software intensive systems and complex systems. Recent research in the field of intelligent systems, robotics, neuroscience, artificial intelligence, and cognitive sciences is very important factor for the future development and innovation of software intensive and complex systems. 

The aim of the book is to deliver a platform of scientific interaction between the three interwoven challenging areas of research and development of future ICT-enabled applications: Software intensive systems, complex systems, and intelligent systems.

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Table of contents (75 papers)

  1. Front Matter

    Pages i-xxx
    Download chapter PDF

  2. Four Grade Levels-Based Models with Random Forest for Student Performance Prediction at a Multidisciplinary University

    • Tran Thanh Dien, Le Duy-Anh, Nguyen Hong-Phat, Nguyen Van-Tuan, Trinh Thanh-Chanh, Le Minh-Bang et al.
    Pages 1-12

  3. The Role of Collective Engagement to Strengthen Organizational Identity

    • Olivia Fachrunnisa, Ardian Adhiatma, Ken Sudarti
    Pages 13-22

  4. A Novel Structural and Semantic Similarity in Social Recommender Systems

    • Imen Ben El Kouni, Wafa Karoui, Lotfi Ben Romdhane
    Pages 23-34

  5. Trustworthy Explainability Acceptance: A New Metric to Measure the Trustworthiness of Interpretable AI Medical Diagnostic Systems

    • Davinder Kaur, Suleyman Uslu, Arjan Durresi, Sunil Badve, Murat Dundar
    Pages 35-46

  6. Entity Relation Extraction Based on Multi-attention Mechanism and BiGRU Network

    • Lingyun Wang, Caiquan Xiong, Wenxiang Xu, Song Lin
    Pages 47-56

  7. Time Series Prediction of Wind Speed Based on SARIMA and LSTM

    • Caiquan Xiong, Congcong Yu, Xiaohui Gu, Shiqiang Xu
    Pages 57-67

  8. Dimensionality Reduction on Metagenomic Data with Recursive Feature Elimination

    • Huong Hoang Luong, Nghia Trong Le Phan, Tin Tri Duong, Thuan Minh Dang, Tong Duc Nguyen, Hai Thanh Nguyen
    Pages 68-79

  9. The Application of Improved Grasshopper Optimization Algorithm to Flight Delay Prediction–Based on Spark

    • Hongwei Chen, Shenghong Tu, Hui Xu
    Pages 80-89

  10. Application of Distributed Seagull Optimization Improved Algorithm in Sentiment Tendency Prediction

    • Hongwei Chen, Honglin Zhou, Meiying Li, Hui Xu, Xun Zhou
    Pages 90-99

  11. Performance Evaluation of WMNs by WMN-PSOSA-DGA Hybrid Simulation System Considering Stadium Distribution of Mesh Clients and Different Number of Mesh Routers

    • Admir Barolli, Shinji Sakamoto, Leonard Barolli, Makoto Takizawa
    Pages 100-109

  12. A New Scheme for Slice Overloading Cost in 5G Wireless Networks Considering Fuzzy Logic

    • Phudit Ampririt, Ermioni Qafzezi, Kevin Bylykbashi, Makoto Ikeda, Keita Matsuo, Leonard Barolli
    Pages 110-120

  13. COVID-Prevention-Based Parking with Risk Factor Computation

    • Walter Balzano, Silvia Stranieri
    Pages 121-130

  14. Coarse Traffic Classification for High-Bandwidth Connections in a Computer Network Using Deep Learning Techniques

    • Marek Bolanowski, Andrzej Paszkiewicz, Bartosz Rumak
    Pages 131-141

  15. A Privacy Preserving Hybrid Blockchain Based Announcement Scheme for Vehicular Energy Network

    • Abid Jamal, Sana Amjad, Usman Aziz, Muhammad Usman Gurmani, Saba Awan, Nadeem Javaid
    Pages 142-151

  16. Prediction of Wide Area Road State Using Measurement Sensor Data and Meteorological Mesh Data

    • Yoshitaka Shibata, Akira Sakuraba
    Pages 152-160

  17. A Coverage Construction and Hill Climbing Approach for Mesh Router Placement Optimization: Simulation Results for Different Number of Mesh Routers and Instances Considering Normal Distribution of Mesh Clients

    • Aoto Hirata, Tetsuya Oda, Nobuki Saito, Yuki Nagai, Masaharu Hirota, Kengo Katayama et al.
    Pages 161-171

  18. Related Entity Expansion and Ranking Using Knowledge Graph

    • Ryuya Akase, Hiroto Kawabata, Akiomi Nishida, Yuki Tanaka, Tamaki Kaminaga
    Pages 172-184

  19. Zero Trust Security in the Mist Architecture

    • Minoru Uehara
    Pages 185-194

  20. Blockchain Based Authentication for End-Nodes and Efficient Cluster Head Selection in Wireless Sensor Networks

    • Sana Amjad, Usman Aziz, Muhammad Usman Gurmani, Saba Awan, Maimoona Bint E. Sajid, Nadeem Javaid
    Pages 195-205
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Other volumes

  1. Complex, Intelligent and Software Intensive Systems

Editors and Affiliations

  • Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  • Department of Information Security Engineering, Soonchunhyang University, Asan, Korea (Republic of)

    Kangbin Yim

  • Faculty of Bussiness Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

Bibliographic Information

  • Book Title: Complex, Intelligent and Software Intensive Systems

  • Book Subtitle: Proceedings of the 15th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS-2021)

  • Editors: Leonard Barolli, Kangbin Yim, Tomoya Enokido

  • Series Title: Lecture Notes in Networks and Systems

  • DOI: https://doi.org/10.1007/978-3-030-79725-6

  • 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 2021

  • Softcover ISBN: 978-3-030-79724-9Published: 30 June 2021

  • eBook ISBN: 978-3-030-79725-6Published: 29 June 2021

  • Series ISSN: 2367-3370

  • Series E-ISSN: 2367-3389

  • Edition Number: 1

  • Number of Pages: XXX, 761

  • Number of Illustrations: 63 b/w illustrations, 199 illustrations in colour

  • Topics: Computational Intelligence, Data Engineering, Complexity

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