This book gathers a selection of peer-reviewed papers presented at the 5th Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2023) conference, held in Fuyang, China, on December 28–29. The contributions, prepared by an international team of scientists and engineers, cover the latest advances and challenges made in the field of big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.
TOPSIS-based Integrated Energy Service Station Siting Research and
Application.- Design and Application of Multi-objective Optimization
Algorithm Based on Neural Network and Genetic Algorithm.- Differential
Privacy Adversarial Learning with Diffusion Model for the Generation of
Privacy-Protected Text Representations.- Application of Mathematical
Algorithms in Big Data Analysis Techniques.- Development Status and Prospect
Prediction of Robots for Live Work in Distribution Network.- Distributed
Computing Methods Based on Data Weaving.- Financial Forecasting and
Decision-Making Models Based on Intelligent Algorithms and Big Data.- The
Integration of Artificial Intelligence and Computer Vision Technologies in
Virtual Reality and Augmented Reality Applications.- Comparative Study of
Machine Learning Using Word2vec Method.- Research on Mechatronics Modeling
and Co-simulation Method Based on Joint Inventory Management.- Research on
Image Processing Algorithm of Packaging Design Based on Machine Vision.-
Optimization Design of Blockchain Technology for Secure Protection of
Integrated Media PGC on Mobile Terminals.- Application of Computer Artificial
Intelligence in Online Education Platforms on the Internet.- A Study on the
Application of Photovoltaic Building Integration in Logistics Center
Warehouses.- Multi-Regional Environmental and Economic Scheduling Of Power
System Based On Particle Swarm Algorithm.- Research on Smart Transportation
Data Security Management Based On Blockchain.- Design Personalized Nutrition
Supplement Recommendation System using Machine Learning Technology.- Big Data
Natural Language Processing Algorithm to Implement Green Brand Reputation
Management System.- Research on the Application of Scintillation Liquid
Treatment Technology Based on Artificial Intelligence in Waste Water
Treatment.- The Implementation of Computer Analysis Algorithm in BPA
Transient Program.- Intelligent Network Security Protection Technology Based
on Big Data and Machine Learning.- Optimization of Intelligent Manufacturing
Systems Based on Intelligent Control Algorithms and Big Data Analysis.- The
Design of Virtual 3D Interactive System for Multifunctional Remote Office
All-In-One Machine.- Research on Water Ecological Governance Based on Visual
Comprehensive Supervision Platform.- Construction of Standard Cost System for
Operations and ERP Management System Based on Data Acquisition Technology.-
Considering Power Factors in Macroeconomic Forecasting Based on the Gated
Recurrent Unit (GRU) Model.- Hierarchical Cooperative Scheduling of RMG, Quay
Crane and AGV.- Intelligent Translation Recognition and Error Correction
System Based On Machine Intelligence and Data Mining Technology.- Application
of Random Forest Algorithm in Financial Intelligence Analysis.- Intelligent
Scheduling and Path Planning of Internet of Things Technology in Logistics
Transportation.- Quantum Computing Algorithms and Real-world Applications.-
Construction of Blended English Intelligent Classroom Based on Virtual
Information Platform.- Power Load Forecasting and Intelligent Scheduling on
Big Data.- Credit Risk Assessment of Commercial Bank Customers Based on
Machine Learning.- Design of Java Programming One-time Pad Encryption System
Based on DES Algorithm.- Technology of Intelligent Detection and Recognition
for Wireless Communication Signals.- Research and Design of a Financial
Intelligent Risk Control Platform Based on Big Data Analysis and Deep Machine
Learning.- Building of Construction Project Cost Prediction Model Based on BP
Algorithm under the Background of Big Data.- A Study on Determining the
Mathematical Model of Compressor Energy Consumption Based on Least Squares
Fitting of Compressor Performance Curves.- Shipping Intelligent Management
Decision System Based on Bayesian Network Model.- Food Quality Traceability
System for Internet of Things under Big Data Algorithm.- Exploration on the
Effectiveness of Industrial Investment Efficiency under Support Vector
Machine Model.- Research on Intelligent Recommendation Algorithms for Online
Learning Resources Based on Recommender Systems.- Interactive Genetic
Algorithm In Indoor Layout Automation Design System.- Distribution Network
Fault Diagnosis and Auxiliary Decision-making in View of Intelligent
Perception and Big Data.- Collaborative Mechanism Between Smart Blockchain
and Supply Chain Economic and Trade Operations.- Parametric Design System for
Ecological Landscape Spatial Structure under Interactive Genetic Algorithm.-
Delaunay Algorithm in Quality and Safety Monitoring of Geological Exploration
and Drilling Engineering.- Intrusion Detection Technology Research Based On
Machine Learning and Big Data Technology.- Automotive Information Security
Assessment and Risk Management Methods.- Application of Intelligent Algorithm
in Computer Programming Optimization.- Reliability Study of Active
Distribution Microgrids with Distributed Energy Resources.- Research on
Real-Time Motion Control Strategy of Robotic Arm Based on Deep Learning.-
Research on Landscape Image Optimization System Based on Machine Vision
Technology.- Research on Digital Preservation of Architectural Decoration
Patterns Based on Virtual Reality Technology.- Research on Imbalanced
Datasets Classification based on Neural Network and Oversampling Methods.-
Research on the Application of Computer Software CAD-3D in Interior Design.-
Application of Data Mining Technology Based on Support Vector Machine in
Information Security.- Design and Implementation of Web-based Mechanical
Fault Repair System.- Public Service Management Based on Blockchain and
Multi-Information Collaborative System.- Analysis of Data Security Management
Based On Neural Network and Text Mining Under the Background of Big Data.-
Reliability Optimization of Economic Information System Based on Genetic
Algorithm.- A Data Analysis Algorithm Combining Topic Analysis Model With
T-Test.- Visualization of Binary Classification Data and Algorithm for Remote
Dynamic Loading of Data.- Fault Diagnosis and Intelligent Prediction Based on
Deep Learning in Power System.- Joint scheduling of eMBB and URLLC traffic in
Space-Air-Ground Integrated Networks.- Research on the Design Auxiliary
System of Museum Exhibition Space Based On Artificial Intelligence.-
Construction of Cost Evaluation Model Based on Fuzzy Comprehensive
Evaluation.- Optimized Application of ADS-B Technology in Aircraft Collision
Avoidance System.- Key Technologies for Disaster Prevention and Mitigation
Based on Intelligent Monitoring of Building Structures.- Application Case of
New Material 3T Integrated Management Technology.- Application of
PROMETHEE-II Method in Location Selection of Photovoltaic Power Station.-
Application of Big Data Technology in Mathematical Modeling Based on Neural
Network Algorithm.- Research on Personalized Recommendation Algorithm of
Learning Resources Based on Knowledge Graph.- Optimization of Agricultural
Product Logistics Vehicle Scheduling Path Based on Ant Colony Algorithm.-
Enterprise Technology Innovation Evaluation System Based on Data Envelopment
Analysis.- Interactive Electronic Technical Manual System Based on Computer
Aided Technology.- Research on Application of Frequency Conversion Debugging
Technology in Electric Drive System.- Application and Development of
Intelligent System in Mechanical Design and Optimization.- Research on
Low-resolution Face Image Recognition based on Convolutional Neural Network.
Mohammed Atiquzzaman obtained his M.S. and Ph.D. in Electrical Engineering and Electronics from the University of Manchester (UK). He currently holds the Edith Kinney Gaylord Presidential Professorship and the Hitachi Chair Professorship in the School of Computer Science at the University of Oklahoma and is a senior member of IEEE. He is the editor-in-chief of Journal of Networks and Computer Applications, the founding editor-in-chief of Vehicular Communications, the former co-editor-in-chief of Computer Communication and has served/serving on the editorial boards of IEEE Communications Magazine, IEEE Transactions on Mobile Computing, IEEE Journal on Selected Areas in Communications International Journal on Wireless and Optical Communications, Real Time Imaging journal, Journal of Communication Systems, Communication Networks and Distributed Systems, and Journal of Sensor Networks. He also guest-edited 12 special issues in various journals. He has served as the symposium co-chairs for IEEE Globecom (2006, 2007, 2012,2014, 2016, 2022) and IEEE ICC (2007, 2009, 2010, 2012, 2014, 2016, 2024) conferences, and the co-chair of IEEE High Performance Switching and Routing Symposium. He also co-chaired NSysS, DependSys, ChinaComm, and the SPIE Quality of Service over Next Generation Data Networks conferences. He was the panel's co-chair of INFOCOM05 and is/has been in the program committee of numerous conferences such as INFOCOM, ICCCN, and Local Computer Networks. He serves on the review panels of funding agencies such as the National Science Foundation, National Research Council (Canada), and Australian Research Council (Australia). In recognition of his contribution to NASA research, he received the NASA Group Achievement Award for outstanding work to further NASA Glenn Research Center's effort in the area of Advanced Communications/Air Traffic Management's Fiber Optic Signal Distribution for Aeronautical Communications project. He received the IEEE 2023 Internet of Things, Ad Hoc and Sensor Networks Technical Achievement Award for valuable contributions to the Internet of Things, Ad Hoc and Sensor Networks scientific community, the IEEE 2018 Satellite and Space Communications Technical Recognition Award for valuable contributions to the Satellite and Space Communications scientific community, the IEEE 2017 Distinguished Technical Achievement Award in recognition of outstanding technical contributions and services in the area of communications switching and routing, and the IEEE 2020 Distinguished Service Award in recognition of outstanding service for the benefit and advancement of the IEEE Communications Society. Dr. Atiquzzaman received IEEE Fred W. Ellersick Prize for his paper entitled Evaluation of SCTP for Space Networks. He has been invited to deliver keynote talks on over 40 international conferences around the globe, including USA, Brazil, Italy, Poland, Portugal, Australia, China, Taiwan, Malaysia, and Korea. He has been invited to deliver keynote talks in over 40 international conferences around the globe, including USA, Brazil, Italy, Poland, Portugal, Australia, China, Taiwan, Malaysia, and Korea. He isthe co-author of the book Performance of TCP/IP over ATM networks, co-edited 8 books, co-authored 5 chapters, written 25 journal editorials, and has over 300 refereed technical publications. His research interests are in satellite communications, wireless and mobile networks, vehicular networks, ad hoc networks, Quality of Service, and optical communications. His research has been funded by National Science Foundation (NSF), National Aeronautics and Space Administration (NASA), U.S. Air Force, Cisco, Honeywell, Oklahoma Department of Transportation, and Oklahoma Highway Safety Office through grants and contracts.