數據驅動的信息物理系統 (英文版) 李方昱伍小龍 9787302669388 【台灣高等教育出版社】

Name: 數據驅動的信息物理系統 (英文版) 李方昱 伍小龍 9787302669388 【台灣高等教育出版社】
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原出版社：清華大學

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書名：數據驅動的信息物理系統 (英文版)
ISBN：9787302669388
出版社：清華大學
著編譯者：李方昱伍小龍
頁數：354
所在地：中國大陸 *此為代購商品
書號：1674956
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內容簡介

本書聚焦于數據驅動物理信息系統（CPS）的原則、設計和實現，涵蓋數據採集、分析和建模、機器學習和人工智慧、網路與分散式計算及網路安全等，全面介紹了開發數據驅動信息物理系統的最先進技術和方法，以及在製造業、醫療保健、交通運輸和能源等各個行業中的應用。本書可供信息物理系統設計和開發領域的研究人員閱讀參考。

Chapter 1 Introduction to Data-driven Cyber Physical Systems
1 1 What are cyber physical systems?
1 2 Data-driven approaches for CPS
1 3 Importance of DDCPS
1 4 Key challenges in DDCPS
1 5 Applications of DDCPS
1 6 Evolution of data-driven approaches in cyber physical systems
1 7 How can data be used to improve cyber physical systems?
1 8 Overview of the book
References
Chapter 2 Fundamentals of Data-driven Cyber Physical Systems
2 1 Definitions
2 1 1 Definitions of CPS
2 1 2 Definitions of DDCPS
2 2 Characteristics of DDCPS
2 2 1 Networked communication
2 2 2 Scalability
2 2 3 Heterogeneity
2 2 4 Interdisciplinary
2 2 5 Real-time processing
2 2 6 Real-time decision-making
2 3 Components of DDCPS
2 3 1 Sensing components
2 3 2 Computational components
2 3 3 Communication components
2 3 4 Control components
2 4 Examples of DDCPS in different industries
2 4 1 Smart grids
2 4 2 Agriculture
2 4 3 Healthcare
2 4 4 Intelligent transportation
2 4 5 Smart manufacturing
2 5 Challenges of DDCPS
2 5 1 Data storage
2 5 2 Integration
2 5 3 Communication
2 5 4 Cybersecurity
2 5 5 System stability
2 6 Summary
References
Chapter 3 Data Collection in Cyber Physical Systems
3 1 Sensors and auxiliary components
3 1 1 Type of sensor and auxiliary components
3 1 2 Factors for selecting sensors and auxiliary components
3 1 3 Typical scenarios for data collection
3 2 Types of data
3 2 1 One dimensional data
3 2 2 Image and video data
3 2 3 Other types of data
3 3 Real time and latency
3 3 1 Techniques for reducing latency
3 3 2 Key considerations of real time and latency
3 3 3 Evaluating the performance
3 4 Data quality and reliability issues
3 4 1 Data preprocessing techniques
3 4 2 Impact of data redundancy on reliability
3 4 3 Data validation techniques
3 5 Summary
References
Chapter 4 Data Storage and Management in Cyber Physical Systems
4 1 Types of data storage for DDCPS
4 1 1 An introduction to data storage in DDCPS
4 1 2 Explore data storage instances in the system
4 2 Data management and processing techniques
4 2 1 Database management techniques
4 2 2 Data processing techniques
4 3 Big data processing technology of DDCPS
4 3 1 Data process for storage and management
4 3 2 Storage for DDCPS
4 3 3 Management for DDCPS
4 3 4 Big data for DDCPS
4 4 Summary
References
Chapter 5 Data Integration and Fusion in Cyber Physical Systems
5 1 Data integration and fusion
5 1 1 CPS data characteristics
5 1 2 CPS data integration
5 1 3 CPS data fusion
5 1 4 Data integration and fusion framework
5 1 5 Data representation
5 2 Techniques for fusing data from multiple sources
5 2 1 Stage-based data fusion methods
5 2 2 Semantic meaning-based data fusion
5 2 3 Artificial intelligence-based data fusion
5 3 CPS data integration and fusion case studies
5 3 1 Cloud-integrated CPS for smart cities case study
5 3 2 Data fusion framework for smart healthcare case study
5 4 Challenges and future work opportunities
5 4 1 Integrated models challenges
5 4 2 CPS data fusion challenges
5 4 3 Future work opportunities
5 5 Summary
References
Chapter 6 Data-driven Modeling and Simulation in Cyber Physical Systems - ~
6 1 Importance of modeling and simulation in cyber physical systems
6 1 1 Importance of complex system modeling for CPS
6 1 2 Importance of complex system simulation for CPS
6 1 3 Benefits of modeling and simulation in CPS
6 2 Data-driven modeling techniques
6 2 1 Introduction to data-driven modeling
6 2 2 Types of data-driven models used in CPS
6 2 3 Methods f
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