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Application of Intelligent Systems in Multi-modal Information Analytics

2021 International Conference on Multi-modal Information Analytics (MMIA 2021), Volume 2

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Vijayan Sugumaran

    1. Decision and Information Sciences, Oakland University, Rochester, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Zheng Xu

    1. Shanghai University, Shanghai, China

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  3. Huiyu Zhou

    1. Department of Informatics, University of Leicester, Leicester, UK

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  • Presents recent research on intelligent systems in multi-modal information analytics
  • Includes selected papers presented at the 2021 International Conference on Multi-modal Information Analytics ( MMIA 2021) held in Huhehaote, China on April 23-24, 2021
  • Written by experts in the field

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1385)

Included in the following conference series:

Conference proceedings info: MMIA 2021.

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About this book

This book provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. Specifically, it addresses a number of broad themes, including multi-modal informatics, data mining, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals, and a useful reference guide for newcomers to the field. This book is a compilation of the papers presented in the 2021 International Conference on Multi-modal Information Analytics, held in Huhehaote, China, on April 23–24, 2021.

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Table of contents (139 papers)

  1. Part I: Multi-modal Informatics in Industrial, Robot, and Smart City

    1. Simulation of Dynamic Characteristics of Water Pressure Overflow Valve Based on MATLAB

      • Junhua Mei, Wenbin Liu
      Pages 138-144

    2. A Big Data Based Technology Study on College Publicity Monitoring System

      • Qiaofeng Gao, Yucong You
      Pages 145-157

    3. Exploration and Realization of Smart Agricultural Irrigation System Based on IOT Perception Environment

      • Chao Yuan
      Pages 158-165

    4. Design and Implementation of Software Filtering Algorithm Based on FPGA

      • Ying He
      Pages 166-173

    5. Information Security Detection Algorithm Based on Sparse Distance Intrusion Feature Expression

      • Runqi Li
      Pages 174-180

    6. Application of Computer Aided Design and Numerical Control Technology in Error Analysis of Numerical Control Machine Tools

      • Jun Wang
      Pages 181-188

    7. Application of Intelligent System in Urban Parks

      • Yu Gui, Boyang Yuan
      Pages 189-197

    8. Application System of Construction Cost Based on BIM Cloud Data Processing

      • Fang Wang
      Pages 198-204

    9. Does “Smart City” Policy Promote Urban Innovation?

      • Weili Chen
      Pages 205-212

    10. Electric Vehicle Design Based on Green Travel Mode

      • Liyan Wu
      Pages 213-219

    11. Dynamic Time History Analysis of Light Steel Structure Based on ANSYS

      • Yuanjing Zhao
      Pages 220-224

    12. Model and Algorithm of Railway Empty Car Allocation Based on Time Constraint

      • Junhui Di, Ruhu Gao
      Pages 225-229

    13. Machine Learning for Indoor Environment Quality Monitoring System Based on ARM

      • Bo Bai
      Pages 230-234

    14. Lightweight BIM Architecture Design System Based on AutoCAD

      • Bing jiao
      Pages 235-239

    15. Kruskal Algorithm for Construction Network Diagram

      • Lei Wang, Bo Wu, Jupu Yuan
      Pages 240-244

    16. Research on Orderly Utilization and Power Supply Mode of Distributed Slow Charging Electric Vehicles

      • Xiang Wang, Shengguo Ma, Benhai Wei, Chao Lou
      Pages 245-249

    17. Research on SOC Algorithm of Lithiumion Battery Based on New Energy Vehicles

      • Jianxing Wu, Jingpeng Wu, Jiangjin Hou, Zhangshi Jie
      Pages 250-255

    18. Improve K-means Algorithm for the Efficiency of NC Machining

      • Fengshun Zhou
      Pages 256-260

    19. Application of Granger Causality Test Model in Power Grid Operation

      • Qiujie Sun, Yongchang Lao, Yaoqi Zhu
      Pages 261-264

    20. Rough Set Estimation Method of Engineering Cost

      • Suofeiya Ma, Yiju Wang
      Pages 265-269
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Other volumes

  1. Application of Intelligent Systems in Multi-modal Information Analytics

  2. Application of Intelligent Systems in Multi-modal Information Analytics

Editors and Affiliations

  • Decision and Information Sciences, Oakland University, Rochester, USA

    Vijayan Sugumaran

  • Shanghai University, Shanghai, China

    Zheng Xu

  • Department of Informatics, University of Leicester, Leicester, UK

    Huiyu Zhou

Bibliographic Information

  • Book Title: Application of Intelligent Systems in Multi-modal Information Analytics

  • Book Subtitle: 2021 International Conference on Multi-modal Information Analytics (MMIA 2021), Volume 2

  • Editors: Vijayan Sugumaran, Zheng Xu, Huiyu Zhou

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-030-74814-2

  • 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: 978-3-030-74813-5Published: 17 April 2021

  • eBook ISBN: 978-3-030-74814-2Published: 16 April 2021

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XXXVI, 944

  • Number of Illustrations: 114 b/w illustrations, 210 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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