Cyberphysical Smart Cities Infrastructures: Optimal Operation and Intelligent Decision Making
- Length: 320 pages
- Edition: 1
- Language: English
- Publisher: Wiley
- Publication Date: 2022-02-02
- ISBN-10: 1119748305
- ISBN-13: 9781119748304
- Sales Rank: #5505648 (See Top 100 Books)
Learn to deploy novel algorithms to improve and secure smart city infrastructure
In Cyberphysical Smart Cities Infrastructures: Optimal Operation and Intelligent Decision Making, accomplished researchers Drs. M. Hadi Amini and Miadreza Shafie-Khah deliver a crucial exploration of new directions in the science and engineering of deploying novel and efficient computing algorithms to enhance the efficient operation of the networks and communication systems underlying smart city infrastructure. The book covers special issues on the deployment of these algorithms with an eye to helping readers improve the operation of smart cities.
The editors present concise and accessible material from a collection of internationally renowned authors in areas as diverse as computer science, electrical engineering, operation research, civil engineering, and the social sciences. They also include discussions of the use of artificial intelligence to secure the operations of cyberphysical smart city infrastructure and provide several examples of the applications of novel theoretical algorithms.
Readers will also enjoy:
- Thorough introductions to fundamental algorithms for computing and learning, large-scale optimizations, control theory for large-scale systems
- Explorations of machine learning and intelligent decision making in cyberphysical smart cities, including smart energy systems and intelligent transportation networks
- In-depth treatments of intelligent decision making in cyberphysical smart city infrastructure and optimization in networked smart cities
Perfect for senior undergraduate and graduate students of electrical and computer engineering, computer science, civil engineering, telecommunications, information technology, and business, Cyberphysical Smart Cities Infrastructures is an indispensable reference for anyone seeking to solve real-world problems in smart cities.
Cover Table of Contents Title Page Copyright Biography List of Contributors 1 Artificial Intelligence and Cybersecurity: Tale of Healthcare Applications 1.1 Introduction 1.2 A Brief History of AI 1.3 AI in Healthcare 1.4 Morality and Ethical Association of AI in Healthcare 1.5 Cybersecurity, AI, and Healthcare 1.6 Future of AI and Healthcare 1.7 Conclusion References 2 Data Analytics for Smart Cities: Challenges and Promises 2.1 Introduction 2.2 Role of Machine Learning in Smart Cities 2.3 Smart Cities Data Analytics Framework 2.4 Conclusion References 3 Embodied AI‐Driven Operation of Smart Cities: A Concise Review 3.1 Introduction 3.2 Rise of the Embodied AI 3.3 Breakdown of Embodied AI 3.4 Simulators 3.5 Future of Embodied AI 3.6 Conclusion References 4 Analysis of Different Regression Techniques for Battery Capacity Prediction 4.1 Introduction 4.2 Data Preparation 4.3 Experiment Design and Machine Learning Algorithms 4.4 Result and Analysis 4.5 Threats to Validity 4.6 Conclusions References Note 5 Smart Charging and Operation of Electric Fleet Vehicles in a Smart City 5.1 Smart Charging in Transportation 5.2 Cyber‐Physical Aspects of EV Networks 5.3 Charging of Electric Fleet Vehicles in Smart Cities 5.4 Data and Cyber Security of EV Networks 5.5 EV Smart Charging Strategies 5.6 Conclusion Acknowledgments References Note 6 Risk‐Aware Cyber‐Physical Control for Resilient Smart Cities 6.1 Introduction 6.2 System Model 6.3 Risk‐Aware Quality of Service Routing Using SDN 6.4 Risk‐Aware Adaptive Control 6.5 Simulation Environment and Numerical Analysis 6.6 Conclusions References Notes 7 Wind Speed Prediction Using a Robust Possibilistic C‐Regression Model Method: A Case Study of Tunisia 7.1 Introduction 7.2 Data Collection and Method 7.3 Experiment and Discussion 7.4 Conclusion References 8 Intelligent Traffic: Formulating an Applied Research Methodology for Computer Vision and Vehicle Detection 8.1 Introduction 8.2 Literature Review 8.3 Research Methodology 8.4 Conclusion References 9 Implementation and Evaluation of Computer Vision Prototype for Vehicle Detection 9.1 Prototype Setup 9.2 Testing 9.3 Iteration 2: Transfer Learning Model 9.4 Iteration 3: Increased Sample Size and Change of Accuracy Analysis (Images) 9.5 Findings and Discussion 9.6 Conclusion References 10 A Review on Applications of the Standard Series IEC 61850 in Smart Grid Applications 10.1 Introduction 10.2 Overview of IEC 61850 Standards 10.3 IEC 61850 Protocols and Substandards 10.4 IEC 61850 Features 10.5 Relevant Application 10.6 Advantages of IEC 61850 (Requirements of Smart Grid IEC 61850) 10.7 Conclusion and Perspective Acknowledgments References 11 Electric Vehicles in Smart Cities 11.1 Introduction 11.2 Autonomous Vehicle 11.3 IoT Technology and CAEV 11.4 CAEV Applications and Services 11.5 Cybersecurity Issues of Internet of EVs 11.6 IoT‐Based EV State Estimation and Control Under Cyberattacks 11.7 Effect of EV Charging Behavior on Power System 11.8 Charging Scheme for EVs Using IoT References Author Index End User License Agreement
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