1 Research Progress of Semi-physical Verification Technology
Based on Photoelectric Sensing
1.1 Origin and Development of Semi-physical Simulation
Technology
1.2 Basic Concept of Semi-physical Simulation Verification
1.3 System Structure of Semi-physical Simulation Verification
1.4 Application of Photoelectric Sensing Technology
in Semi-physical Verification Test
1.4.1 Application of Photoelectric Sensing Technology
in Military Field in Semi-physical Verification Test
1.4.2 Application of Photoelectric Sensing Technology
in Civil Field in Semi-physical Verification Test
1.5 Research Progress of Semi-physical Verification Technology
for RFID Dynamic Performance
1.5.1 Semi-physical Testing System for Single RFID Tag
1.5.2 Semi-physical Testing System for Pallet Level
RFID Tag
1.5.3 Semi-physical Testing System for Packaging Grade
RFID Tag
1.5.4 Semi-physical Testing System for High Power Level
RFID Tag
1.6 Summary
References
2 Multi-antenna Optimal Reception Theory and Semi-physical
Verification for RFID-MIMO System
2.1 MIMO Wireless Communication Technology
2.2 Channel Model of RFID-MIMO System
2.3 Simulation and Analysis of RFID-MIMO System
2.4 Antenna Selection Technique
2.4.1 Optimal Antenna Selection Technique
2.4.2 Sub-optimal Antenna Selection Technique
2.4.3 Simulation and Analysis
2.5 Semi-physical Verification Method of RFID Reading Distance
Measurement Based on Photoelectric Sensor
2.5.1 Indirect Ranging Algorithm for Single Tag System
2.5.2 Indirect Ranging Algorithm for Multi-tag System
2.5.3 Performance Testing for Single Tag
2.5.4 Performance Testing for Multi-tag
2.5.5 Multi-tag Anti-collision Performance Test
2.6 Summary
References
3 Influence of Temperature on the Dynamic Reading Performance
of UHF RFID System: Thermodynamic Analysis
and Semi-physical Verification
3.1 Theory of Heat Transfer
3.2 The Effect of Temperature on Reading Distance
of RFID System
3.2.1 Reading Distance of RFID System
3.2.2 Temperature Effect on Reading Distance
3.3 Measuring System and Measuring Method
3.3.1 Design of the Temperature Control System
3.3.2 Semiconductor Cooler
3.3.3 Semi-physical Verification System Platform
3.4 Experimental Results and Analysis
3.4.1 Influence of the Thickness of Plastic Box
3.4.2 Establishment of Fitted Model
3.4.3 Predication of the Reading Distance of Tags
3.5 Summary
References
4 Optimal Analysis and Semi-physical Verification of Geometric
Distribution of RFID Multi-tag Based on Fisher Matrix
4.1 Tag Geometric Distribution Model
4.2 Mathematical Foundation of Optimal Multi-tag Geometric
Topology
4.3 Distribution Model Based on Fisher Information Matrix
4.4 Research on Geometric Distribution
of Multi-tag Optimization
4.4.1 Design of Semi-physical Verification System
4.4.2 Semi-physical Experiment Verification
4.5 Research on Multi-tag Dynamic Geometry Model
4.5.1 Theoretical Derivation
4.5.2 System Simulation and Analysis
4.5.3 Target Moves Uniformly Along Different Paths
4.5.4 Target Moves with Variable Speed Along
Different Paths
4.6 Summary
References
5 Application and Semi-physical Verification of Artificial Neural
Network in RFID Multi-tag Distribution Optimization
5.1 Optimization of RFID Multi-tag Distribution Based
on BP Neural Network
5.1.1 Basic Concept of BP Neural Network
5.1.2 The Algorithm of BP Neural Network
5.1.3 Design and Implement of RFID Multi-tag Detection
System
5.1.4 Training of BP Neural Network and Result Analysis
5.2 Optimization of RFID Multi-tag Distribution Based on GA-BP
Neural Network
5.2.1 Basic Concept of GA-BP Neural Network
5.2.2 GA-BP Algorithm
5.2.3 Result of GA-BP Neural N

俞晓磊、汪东华、赵志敏著的《物联网系统动态性能半物理验证技术(英文版)》讲述了：This book combines semi-physical simulation technology with an Internet of Things(IOT) application system based on novel mathematical methods such as the Fishermatrix, artificial neural networks, thermodynamic analysis, support vector machines,and image processing algorithms. The dynamic testing and semi-physical verificationof the theory and application were conducted for typical IOT systems such as RFIDsystems, Internet of Vehicles systems, and two-dimensional barcode recognitionsystems. The findings presented are of great scientific significance and have wideapplication potential for solving bottlenecks in the development of RFID technologyand IOT engineering. The book is a valuable resource for postgraduate students infields such as computer science and technology, control science and engineering, andinformation science. Moreover, it is a useful reference resource for researchers in IOTand RFID-related industries, logistics practitioners, and system integrators.