Fuzzy Logic with Engineering Applications

Explore the diverse electrical engineering application of polymer composite materials with this in-depth collection edited by leaders in the field Polymer Composites for Electrical Engineering delivers a comprehensive exploration of the fundamental principles, state-of-the-art research, and future challenges of polymer composites. Written from the perspective of electrical engineering applications, like electrical and thermal energy storage, high temperature applications, fire retardance, power cables, electric stress control, and others, the book covers all major application branches of these widely used materials. Rather than focus on polymer composite materials themselves, the distinguished editors have chosen to collect contributions from industry leaders in the area of real and practical electrical engineering applications of polymer composites. The books relevance will only increase as advanced polymer composites receive more attention and interest in the area of advanced electronic devices and electric power equipment. Unique amongst its peers, Polymer Composites for Electrical Engineering offers readers a collection of practical and insightful materials that will be of great interest to both academic and industrial audiences. Those resources include: A comprehensive discussion of glass fiber reinforced polymer composites for power equipment, including GIS, bushing, transformers, and more) Explorations of polymer composites for capacitors, outdoor insulation, electric stress control, power cable insulation, electrical and thermal energy storage, and high temperature applications A treatment of semi-conductive polymer composites for power cables In-depth analysis of fire-retardant polymer composites for electrical engineering An examination of polymer composite conductors Perfect for postgraduate students and researchers working in the fields of electrical, electronic, and polymer engineering, Polymer Composites for Electrical Engineering will also earn a place in the libraries of those working in the areas of composite materials, energy science and technology, and nanotechnology.

Table of Contents:
Contents Preface ix Acknowledgments xvii Acronyms xix 1 IoT Technologies and Applications 1 1.1 Introduction 1 1.2 Traditional IoT Technologies 3 1.2.1 Traditional IoT System Architecture 3 1.2.2 IoT Connectivity Technologies and Protocols 7 1.3 Intelligent IoT Technologies 27 1.3.1 Data Collection Technologies 29 1.3.2 Computing Power Network 36 1.3.3 Intelligent Algorithms 39 1.4 Typical Applications 42 1.4.1 Environmental Monitoring 42 1.4.2 Public Safety Surveillance 42 1.4.3 Military Communication 44 1.4.4 Intelligent Manufacturing and Interactive Design 46 1.4.5 Autonomous Driving and Vehicular Networks 47 1.5 Requirements and Challenges for Intelligent IoT Services 48 1.5.1 A Generic and Flexible Multi-tier Intelligence IoT Architecture 48 1.5.2 Lightweight Data Privacy Management in IoT Networks 49 1.5.3 Cross-domain Resource Management for Intelligent IoT Services 50 1.5.4 Optimization of Service Function Placement, QoS, and Multi-operator Network Sharing for Intelligent IoT Services 50 1.5.5 Data Time stamping and Clock Synchronization Services for Wide-area IoT Systems 51 1.6 Conclusion 52 References 52 vi Contents 2 Computing and Service Architecture for Intelligent IoT 61 2.1 Introduction 61 2.2 Multi-tier Computing Networks and Service Architecture 62 2.2.1 Multi-tier Computing Network Architecture 63 2.2.2 Cost Aware Task Scheduling Framework 65 2.2.3 Fog as a Service Technology 69 2.3 Edge-enabled Intelligence for Industrial IoT 74 2.3.1 Introduction and Background 74 2.3.2 Boomerang Framework 79 2.3.3 Performance Evaluation 83 2.4 Fog-enabled Collaborative SLAM of Robot Swarm 85 2.4.1 Introduction and Background 85 2.4.2 A Fog-enabled Solution 87 2.5 Conclusion 93 References 94 3 Cross-Domain Resource Management Frameworks 97 3.1 Introduction 97 3.2 Joint Computation and Communication Resource Management for Delay-Sensitive Applications 99 3.2.1 2C Resource Management Framework 101 3.2.2 Distributed Resource Management Algorithm 104 3.2.3 Delay Reduction Performance 107 3.3 Joint Computing, Communication, and Caching Resource Management for Energy-efficient Applications 113 3.3.1 Fog-enabled 3C Resource Management Framework 116 3.3.2 Fog-enabled 3C Resource Management Algorithm 121 3.3.3 Energy Saving Performance 127 3.4 Case Study: Energy-efficient Resource Management in Tactile Internet 131 3.4.1 Fog-enabled Tactile Internet Architecture 133 3.4.2 Response Time and Power Efficiency Trade-off 135 3.4.3 Cooperative Fog Computing 137 3.4.4 Distributed Optimization for Cooperative Fog Computing 139 3.4.5 A City-wide Deployment of Fog Computing-supported Self-driving Bus System 140 3.5 Conclusion 144 References 145 4 Dynamic Service Provisioning Frameworks 149 4.1 Online Orchestration of Cross-edge Service Function Chaining 149 4.1.1 Introduction 149 4.1.2 Related Work 151 4.1.3 System Model for Cross-edge SFC Deployment 152 4.1.4 Online Optimization for Long-term Cost Minimization 157 4.1.5 Performance Analysis 162 Contents vii 4.1.6 Performance Evaluation 165 4.1.7 Future Directions 169 4.2 Dynamic Network Slicing for High-quality Services 170 4.2.1 Service and User Requirements 170 4.2.2 Related Work 173 4.2.3 System Model and Problem Formulation 174 4.2.4 Implementation and Numerical Results 176 4.3 Collaboration of Multiple Network Operators 180 4.3.1 Service and User Requirements 181 4.3.2 System Model and Problem Formulation 182 4.3.3 Performance Analysis 187 4.4 Conclusion 189 References 190 5 Lightweight Privacy-Preserving Learning Schemes 197 5.1 Introduction 197 5.2 System Model and Problem Formulation 199 5.3 Solutions and Results 200 5.3.1 A Lightweight Privacy-preserving Collaborative Learning Scheme 200 5.3.2 A Differentially Private Collaborative Learning Scheme 213 5.3.3 A Lightweight and Unobtrusive Data Obfuscation Scheme for Remote Inference 218 5.4 Conclusion 233 References 233 6 Clock Synchronization for Wide-area Applications 239 6.1 Introduction 239 6.2 System Model and Problem Formulation 240 6.2.1 Natural Timestamping for Wireless IoT Devices 240 6.2.2 Clock Synchronization for Wearable IoT Devices 241 6.3 Natural Timestamps in Powerline Electromagnetic Radiation 243 6.3.1 Electrical Network Frequency Fluctuations and Powerline Electromagnetic Radiation 243 6.3.2 Electromagnetic Radiation-based Natural Timestamping 244 6.3.3 Implementation and Benchmark 251 6.3.4 Evaluation in Office and Residential Environments 254 6.3.5 Evaluation in a Factory Environment 259 6.3.6 Applications 261 6.4 Wearables Clock Synchronization Using Skin Electric Potentials 269 6.4.1 Motivation 269 6.4.2 Measurement Study 271 viii Contents 6.4.3 TouchSync System Design 276 6.4.4 TouchSync with Internal Periodic Signal 285 6.4.5 Implementation 288 6.4.6 Evaluation 290 6.5 Conclusion 297 References 297 7 Conclusion 301 Index 30

About the Author :
Timothy J. Ross, University of New Mexico, USA Dr. Ross is a professor within the Department of Civil Engineering at the University of New Mexico where he teaches courses in structural analysis, structural dynamics and fuzzy logic. He is a registered professional engineer with over 30 years’ experience in the fields of computational mechanics, hazard survivability, structural dynamics, structural safety, stochastic processes, risk assessment, and fuzzy systems. He is also the founding Editor-in-Chief of the International Journal, Intelligent and Fuzzy Systems.