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Intelligent Networked Things

The 6th Conference on Intelligent Networked Things, CINT 2024, Xi'an, China, May 18, 2024, Proceedings, Part II

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Lin Zhang

    1. Beihang University, Beijing, China

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  2. Wensheng Yu

    1. Beijing University of Posts and Telecommunications, Beijing, China

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  3. Quan Wang

    1. Xidian University, Xi’an, China

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  4. Yuanjun Laili

    1. Beihang University, Beijing, China

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  5. Yongkui Liu

    1. Xidian University, Xi’an, China

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 2139)

Included in the following conference series:

Conference proceedings info: CINT 2024.

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About this book

This book constitutes the refereed proceedings of the The 6th Conference on Intelligent Networked Things on Intelligent Networked Things, CINT 2024, held in Xi'an, China, in May 18, 2024. 

The 51 full papers presented were carefully reviewed and selected from 151 submissions. The conference papers are organized in topical sections on:

Part I - Theories and Mathematical Methods for Intelligent Networked Things; Modeling and Simulation in Intelligent Networked Things.

Part II - Artificial Intelligence for Intelligent Networked Things; Optimization and Decision in Intelligent Networked Things.

Keywords

Table of contents (26 papers)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Artificial Intelligence for Intelligent Networked Things

    1. Front Matter

      Pages 1-1
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    2. Application of Improved ResNet18 Based Neural Network for Non-invasive Blood Glucose Testing

      • Ding Wang, Yingnian Wu, Hao Tan, Meiqi Sheng, Rui Yang, Rongmin Cao et al.
      Pages 3-11

    3. iKnowiSee: AR Glasses with Language Learning Translation System and Identity Recognition System Built Based on Large Pre-trained Models of Language and Vision and Internet of Things Technology

      • Qiwei Liang, Yikeng Chen, Wenbiao Li, Minghao Lai, Wenjian Ni, Hong Qiu
      Pages 12-24

    4. HM-W2V: Word Embedding from Hippocampus Spiking Neural Network

      • Yaqiang Sun, Zhifeng Lv, Jingwei Yu, Liangtian Zhao, Jie Hao
      Pages 25-33

    5. Multi-target Intelligent Detection Method of Support Structure Defects Based on Digital Image Processing Technology

      • Jiajun Lu, Jingbing Wu, Hong Lu, Junde Qi, He Huang, Jun Zhang
      Pages 34-43

    6. Design of Calculation Algorithm for Edge Straight Line Accuracy of Metal Plate Based on Point Cloud Data

      • Xu Feng, Hong Lu, Yongquan Zhang, Junde Qi, He Huang, Jun Zhang et al.
      Pages 44-53

    7. Fault Diagnosis of Rolling Bearings Based on SVM and Improved D-S Evidence Theory for Multi-sensor Fusion

      • Xiang Li, Jingbing Wu, Yuan Xia, Wei Luo, Hong Lu, Wei Zhang et al.
      Pages 54-64

    8. mmWave Radar Point Cloud Based Pose Estimation with Residual Blocks for Rehabilitation Exercise

      • Jiangbo Pei, Zhongping Cao, Guoli Wang
      Pages 65-74

    9. Enhancing Repetitive Action Counting Through Hierarchical Transformer-Based Radar-Vision Fusion

      • Hao Chen, Zhongping Cao, Lin Chen, Guoli Wang
      Pages 75-85

    10. Realizing Human Pose Estimation Based on Deep Kalman Filtering

      • Jianbo Cao, Guoli Wang
      Pages 86-96

    11. A Multi-scale Feature Fusion Method for Demand Forecasting in Supply Chain Management

      • Jiajie Wu, Jin Cui, Mei Yuan, Xiaoyang Fan, Jing Zhang
      Pages 97-105

    12. Process Fault Diagnosis Based on Moving Window KECA and Random Forest

      • Tianyu Guo, Fei Liu
      Pages 106-113

    13. Intelligent Monitoring Method for Gear Grinding Machine Spindle Based on Multi-source Information Fusion

      • Guozhen Zhang, Zhida Kou, Cheng Zhang, Yingfeng Zhang
      Pages 114-122

    14. Research on Improving ResNet18 for Classifying Complex Images Based on Attention Mechanism

      • Yongnan Jia, Linjie Dong, Junhua Qi, Qing Li
      Pages 123-139

    15. A Framework for Automated Generation of Transmission Processes Based on Kinetic Knowledge Mapping

      • Cheng Zhang, Zhida Kou, Yingfeng Zhang
      Pages 140-147

  3. Optimization and Decision in Intelligent Networked Things

    1. Front Matter

      Pages 149-149
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    2. Intelligent Optimization Methods for Unmanned Cluster Delivery Support Task Allocation

      • Shuai Li, Xiao-Yuan He, Xiao Xu, Sheng-Ming Guo
      Pages 151-159

    3. Knowledge-Specific Reinforcement Learning for Job-Shop Scheduling with Dynamic Processing States in Disassembly Factory

      • Ruichong Ma, Fangyu Li
      Pages 160-169

    4. Implementation of Real-Time Robot Monitoring and Scheduling Platform in Cloud Manufacturing Environment

      • Xingbo Qiu, Yu Cao, Ming Lv, Yongkui Liu, Xubin Ping
      Pages 170-178
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Other volumes

  1. Intelligent Networked Things

  2. Intelligent Networked Things

Editors and Affiliations

  • Beihang University, Beijing, China

    Lin Zhang, Yuanjun Laili

  • Beijing University of Posts and Telecommunications, Beijing, China

    Wensheng Yu

  • Xidian University, Xi’an, China

    Quan Wang, Yongkui Liu

Bibliographic Information

  • Book Title: Intelligent Networked Things

  • Book Subtitle: The 6th Conference on Intelligent Networked Things, CINT 2024, Xi'an, China, May 18, 2024, Proceedings, Part II

  • Editors: Lin Zhang, Wensheng Yu, Quan Wang, Yuanjun Laili, Yongkui Liu

  • Series Title: Communications in Computer and Information Science

  • DOI: https://doi.org/10.1007/978-981-97-3948-6

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024

  • Softcover ISBN: 978-981-97-3947-9Published: 10 July 2024

  • eBook ISBN: 978-981-97-3948-6Published: 09 July 2024

  • Series ISSN: 1865-0929

  • Series E-ISSN: 1865-0937

  • Edition Number: 1

  • Number of Pages: XV, 283

  • Number of Illustrations: 28 b/w illustrations, 108 illustrations in colour

  • Topics: Artificial Intelligence, Communications Engineering, Networks

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