Big data analytics for cyber-physical system in smart city : BDCPS 2020, 28-29 December 2020, Shanghai, China / Mohammed Atiquzzaman, Neil Yen, Zheng Xu, editors.
BDCPS (Conference) (2020 : Online); Atiquzzaman, Mohammed, editor.; Yen, Neil Y., editor.; Xu, Zheng, editor.
2021
QA76.9.B45
Available Online

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Title Big data analytics for cyber-physical system in smart city : BDCPS 2020, 28-29 December 2020, Shanghai, China / Mohammed Atiquzzaman, Neil Yen, Zheng Xu, editors.
Meeting Name BDCPS (Conference) (2020 : Online)
ISBN 9789813345720 (electronic bk.)
9813345721 (electronic bk.)
9789813345737
DOI https://doi.org/10.1007/978-981-33-4572-0
Published Cham : Springer, 2021.
Language English
Description 1 online resource
Item Number 10.1007/978-981-33-4572-0 doi
Call Number QA76.9.B45
Dewey Decimal Classification 005.7
Summary This book gathers a selection of peer-reviewed papers presented at the second Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2020) conference, held in Shanghai, China, on 28-29 December 2020. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and 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.
Note "Due to the COVID-19 outbreak problem, BDCPS 2020 conference will be held online by Tencent Meeting."
Includes author index.
Bibliography, etc. Note References-Design of Digital-Analog Control Algorithm for Flash Smelting Metallurgy-Abstract-1 Introduction-2 Dynamic Task Transmission Channel Model and Channel Equalization in Cloud Storage Environment-2.1 Dynamic Task Transmission Channel Model-2.2 Interference Filtering Suppression in Task Scheduling-3 Load Balancing Scheduling Model Optimization-4 Simulation-5 Conclusions-References-Simulation and Prediction of 3E System in Shandong Province Based on System Dynamics-Abstract-1 Introduction-2 Introduction to System Dynamics Modeling Method.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed February 19, 2021).
Added Author Atiquzzaman, Mohammed, editor.
Yen, Neil Y., editor.
Xu, Zheng, editor.
Series Advances in intelligent systems and computing ; 1303. 2194-5357
Available in Other Form Print version: 9789813345713
Print version: 9789813345737
Linked Resources Online Access
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Intro
Foreword
Organization
General Chairs
Program Committee Chairs
Publication Chairs
Publicity Chairs
Local Organizing Chairs
Program Committee Members
2020 International Conference on Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2020)
Conference Program
Greeting Message
Conference Program
BDCPS 2020 Keynotes
Mobility Management and Security Issues for Networks in Motion
Oral Presentation Instruction
Short Paper Presentation Instruction
Registration
Contents

Intelligent Garbage Classification System Based on Open MV
Abstract
1 Introduction
2 Garbage Type Recognition Algorithm
3 System Scheme Design
4 System Hardware Circuit Design
4.1 Microprocessor Circuit
4.2 Open MV Garbage Recognition Circuit Design
4.3 Ultrasonic Distance Measuring Circuit Design
4.4 Power Circuit Design
4.5 Voice Interactive Circuit Design
4.6 Control Circuit Design
4.6.1 Circuit Design of Steering Gear
4.6.2 Motor Drive Circuit Design
5 System Software Design
5.1 Neural Network Model Training Under Caffe Architecture

5.2 OpenMV Garbage Classification Program Design
6 System Debugging
7 Conclusion
Acknowledgements
References
Deformation Monitoring Method of Railway Buildings Based on 3D Laser Scanning Technology
Abstract
1 Introduction
2 Image Acquisition and Preprocessing
2.1 3D Laser Scanning Imaging Acquisition of Railway Buildings
2.2 Noise Reduction of Railway Buildings
3 Realization of Image Segmentation and Deformation Monitoring
3.1 3D Laser Scanning Image Segmentation of Railway Buildings
3.2 Realization of Deformation Monitoring of Railway Buildings

4 Simulation Experiment
5 Conclusions
References
Research on Real-Time Compression and Transmission Method of Motion Video Data Under Internet of Things
Abstract
1 Introduction
2 Preprocessing of Motion Video Data Compression and LBG Vector Quantization in the Internet of Things
2.1 Motion Video Data Compression Process and Coding Ideas in the Internet of Things
2.2 LBG Vector Quantization Processing of Motion Video Data
3 Optimization of Real-Time Compression and Transmission of Motion Video Data
4 Simulation Experiment and Result Analysis
5 Conclusions

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