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Urban Intelligence and Applications

Proceedings of ICUIA 2019

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Xiaohui Yuan

    1. Department of Computer Science and Engineering, University of North Texas, Denton, USA

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  2. Mohamed Elhoseny

    1. Faculty of Computers and Information, Mansoura University, Mansoura, Egypt

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  • Presents papers from the International Conference on Urban Intelligence and Applications 2019
  • Addresses strategies to innovate and manage urban spaces to improve livability and accessibility
  • Discusses emerging technologies and their applications in the operation of modern, smart cities

Part of the book series: Studies in Distributed Intelligence (SDI)

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Table of contents (18 papers)

  1. Front Matter

    Pages i-x
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  2. Technology and Infrastructure for Urban Intelligence

    1. Front Matter

      Pages 1-1
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    2. Controller Placements for Improving Flow Set-Up Reliability of Software-Defined Networks

      • Yuqi Fan, Tao Ouyang, Xiaohui Yuan
      Pages 3-13

    3. A Multiple Compatible Compression Scheme Based on Tri-state Signal

      • Tian Chen, Yongsheng Zuo, Xin An, Fuji Ren
      Pages 15-27

    4. A Thin Client Error-Correcting Data Storage Framework Based on Blockchain

      • Yuqi Fan, JingLin Zou, Siyu Liu, Qiran Yin, Xin Guan, Xiaohui Yuan
      Pages 29-38

    5. Photonic Crystal Microstrip Antenna Array Design Using an Improved Boolean Particle Swarm Optimization

      • Jianxia Liu, Hui Miao, Xiaohui Yuan, Jianfang Shi
      Pages 39-53

    6. Remote Sensing Image Fusion Using Improved IHS and Non-subsampled Contourlet Transform

      • Yong Zeng, Wei Yi, Jianan Deng, Weirong Chen, Shenghao Xu, Shusong Huang
      Pages 55-67

    7. A Unified Coherent-Incoherent Target Decomposition Method for Polarimetric SAR

      • Shuai Yang, Xiuguo Liu, Xiaohui Yuan, Qihao Chen, Shengwu Tong
      Pages 69-79

  3. Community and Wellbeing of Smart Cities

    1. Front Matter

      Pages 81-81
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    2. Urban Land Use Classification Using Street View Images Based on Deep Transfer Network

      • Yafang Yu, Fang Fang, Yuanyuan Liu, Shengwen Li, Zhongwen Luo
      Pages 83-95

    3. Chinese–Vietnamese Bilingual News Event Summarization Based on Distributed Graph Ranking

      • Shengxiang Gao, Zhengtao Yu, Yunlong Li, Yusen Wang, Yafei Zhang
      Pages 97-112

    4. Entity Hyponymy Extraction of Complex Sentence Combining Bootstrapping and At-BiLSTM in Special Domain

      • Huaqin Li, Zhiju Zhang, Zhengtao Yu, Hongbin Wang, Hua Lai
      Pages 113-124

    5. Emotion Recognition Based on EEG Signals Using LIBSVM as the Classifier

      • Tian Chen, Sihang Ju, Fuji Ren, Mingyan Fan, Xin An
      Pages 125-137

    6. A Review of the Application of Deep Learning in the Classification of Diabetic Retinopathy

      • Xuyan Yu, Jianxia Liu, Wenxuan Xue
      Pages 139-151

  4. Smart Mobility and Transportation

    1. Front Matter

      Pages 153-153
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    2. Online Prediction Model of Short-Term Traffic Flow Based on Improved LS-SVM

      • Zhongjun Ma, Lin Feng, Zhenchun Wei, Zengwei Lyu, Zhensheng Huang, Fei Liu
      Pages 155-167

    3. Research on Low Altitude Object Detection Based on Deep Convolution Neural Network

      • Yongjun Qi, Junhua Gu, Zepei Tian, Dengchao Feng, Yingru Su
      Pages 169-178

    4. UAS Traffic Management in Low-Altitude Airspace Based on Three Dimensional Digital Aerial Corridor System

      • Dengchao Feng, Pengfei Du, Huiya Shen, Zhenmin Liu
      Pages 179-188

    5. Analyzing of Spatial Interactive Network Based on Urban Community Division

      • Ning Li, Yaqin Ye, Jiao Pan, Yingqiang Zhong, Qiao Hua
      Pages 189-203

  5. Security, Safety, and Emergency Management

    1. Front Matter

      Pages 205-205
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Keywords

About this book

This volume presents selected papers from the International Conference on Urban Intelligence and Applications (ICUIA), which took place on May 10-12, 2019 in Wuhan, China. The goal of the conference was to bring together researchers, industry leaders, policy makers, and administrators to discuss emerging technologies and their applications to advance the design and implementation of intelligent utilization and management of urban assets, and thus contributing to the autonomous, reliable, and efficient operation of modern, smart cities. The papers are collated to address major themes of urban sustainability, urban infrastructure and management, smart city applications, image and signal processing, natural language processing, and machine learning for monitoring and communications applications. The book will be of interest to researchers and industrial practitioners working on geospatial theories and tools, smart city applications, urban mobility and transportation, and community well-being and management.

Editors and Affiliations

  • Department of Computer Science and Engineering, University of North Texas, Denton, USA

    Xiaohui Yuan

  • Faculty of Computers and Information, Mansoura University, Mansoura, Egypt

    Mohamed Elhoseny

About the editors

Dr. Mohamed Elhoseny is currently an Assistant Professor at the Faculty of Computers and Information, Mansoura University and a researcher at CoVIS Lab, Department of Computer Science and Engineering, University of North Texas. Collectively, Dr. Elhoseny authored/co-authored over 100 ISI Journal articles (with total Impact Factor 147.6), Conference Proceedings, Book Chapters, and six books published by Springer and Taylor& Francis. His research interests include Network Security, Cryptography, Machine Learning Techniques, Internet of Things, and Quantum Computing.  Dr. Elhoseny serves as the Editor-in-Chief of International Journal of Smart Sensor Technologies and Applications, IGI Global. Besides, he is an Associate Editor of several journals such as IEEE Access (Impact Factor 3.5), IEEE Future Directions, PLOS One journal (Impact Factor 2.7), Remote Sensing (Impact Factor 3.5), and International Journal of E-services and Mobile Applications, IGI Global (Scopus Indexed). Also, heis an Editorial Board member in several journals such as Applied Intelligence, Springer (Impact Factor 1.9). Dr. Elhoseny guest-edited several special issues at many journals published by IEEE, Elsevier, Hindawi, Springer, Inderscience, and MDPI. Moreover, he served as the co-chair, the publication chair, the program chair, and a track chair for several international conferences published by IEEE and Springer. Dr. Elhoseny is a TPC Member or Reviewer in 50+ International Conferences and Workshops. Furthermore, he has been reviewing papers for 80+ International Journals including IEEE Communications Magazine, IEEE Transactions on Intelligent Transportation Systems, IEEE Sensors Letters, IEEE Communication Letters, Elsevier Computer Communications, Computer Networks, Sustainable Cities and Society, Wireless Personal Communications, and Expert Systems with Applications.

Dr. Xiaohui Yuan received a Ph.D. degree in Computer Science from the Tulane University in 2004. He is currentlyan Associate Professor in the Department of Computer Science and Engineering, University of North Texas. He is the director of the Computer Vision and Intelligent Systems Lab at the University of North Texas. His research interests include computer vision, data mining, machine learning, and artificial intelligence. His research is supported by Air Force Lab, National Science Foundation, Texas Advanced Research Program, Oak Ridge Associated Universities, and UNT. His research findings are reported in over 130 peer-reviewed papers. Dr. Yuan is a recipient of Ralph E. Powe Junior Faculty Enhancement award in 2008 and the Air Force Faculty Fellowship in 2011, 2012, and 2013. He also received two research awards and a teaching award from UNT in 2007, 2008, and 2012, respectively. He served on the editorial board of several international journals and guest-edited several special issues. He is the general chair, program committee chairs, and session chairs in many conferences. He also servesas a panel reviewer for funding agencies including NSF, NASA, NIH, and Louisiana Board of Regent’s Research Competitiveness program.

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