《物聯網系統動態性能半物理驗證技術（英文版）》是2018年科學出版社出版的圖書，作者是俞曉磊。
基本介紹
- 中文名：物聯網系統動態性能半物理驗證技術（英文版）
- 作者：俞曉磊
- 出版社：科學出版社
- 出版時間：2018年11月
- 頁數：246 頁
- 定價：129 元
- 開本：16 開
- 裝幀：平裝
- ISBN：9787030586667
內容簡介,圖書目錄,
內容簡介
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.
圖書目錄
Contents
1 Research Progress of Semi-physical Verification Technology Based on Photoelectric Sensing 1
1.1Origin and Development of Semi-physical Simulation
Technology 1
1.2Basic Concept of Semi-physical Simulation Verification 4
1.3System Structure of Semi-physical Simulation Verification 5
1.4Application of Photoelectric Sensing Technology in Semi-physical Verification Test 7
1.4.1Application of Photoelectric Sensing Technology in Military Field in Semi-physical Verification Test 7
1.4.2Application of Photoelectric Sensing Technology in Civil Field in Semi-physical Verification Test 14
1.5Research Progress of Semi-physical Verification Technology for RFID Dynamic Performance 21
1.5.1 Semi-physical Testing System for Single RFID Tag_22
1.5.2Semi-physical Testing System for Pallet Level RFID Tag 29
1.5.3Semi-physical Testing System for Packaging Grade RFID Tag 34
1.5.4Semi-physical Testing System for High Power Level RFID Tag 37
1.6Summary 40
References 41
2Multi-antenna Optimal Reception Theory and Semi-physical Verification for RFID-MIMO System 45
2.1 MIMO Wireless Communication Technology 46
2.2Channel Model of RFID-MIMO System 47
2.3 Simulation and Analysis of RFID-MIMO System 50
2.4Antenna Selection Technique 52
2.4.1 0ptimal Antenna Selection Technique 53
2.4.2Sub-optimal Antenna Selection Technique 54
2.4.3Simulation and Analysis__ 56
2.5Semi-physical Verification Method of RFID Reading Distance Measurement Based on Photoelectric Sensor 58
2.5.1Indirect Ranging Algorithm for Single Tag System 59
2.5.2Indirect Ranging Algorithm for Multi-tag System 61
2.5.3Performance Testing for Single Tag 64
2.5.4Performance Testing for Multi-tag 65
2.5.5Multi-tag Anti-collision Performance Test 66
2.6Summary 67
References 68
3Influence of Temperature on the Dynamic Reading Performance of UHF RFID System: Thermodynamic Analysis and Semi-physical Verification 69
3.1Theory of Heat Transfer 70
3.2The Effect of Temperature on Reading Distance of RFID System 71
3.2.1Reading Distance of RFID System 71
3.2.2 Temperature Effect on Reading Distance 72
3.3 Measuring System and Measuring Method 73
3.3.1Design of the Temperature Control System 73
3.3.2Semiconductor Cooler 75
3.3.3Semi-physical Verification System Platform 76
3.4Experimental Results and Analysis 78
3.4.1Influence of the Thickness of Plastic Box 78
3.4.2Establishment of Fitted Model 80
3.4.3Predication of the Reading Distance of Tags 81
3.5Summary 83
References 83
4 0ptimal Analysis and Semi-physical Verification of Geometric Distribution of RFID Multi-tag Based on Fisher Matrix 85
4.1Tag Geometric Distribution Model 85
4.2Mathematical Foundation of Optimal Multi-tag Geometric Topology 87
4.3 Distribution Model Based on Fisher Information Matrix 88
4.4Research on Geometric Distribution of Multi-tag Optimization 90
4.4.1Design of Semi-physical Verification System 90
4.4.2Semi-physical Experiment Verification 92
4.5Research on Multi-tag Dynamic Geometry Model 96
4.5.1Theoretical Derivation 96
4.5.2 System Simulation and Analysis 97
4.5.3 Target Moves Uniformly Along Different Paths 97
4.5.4Target Moves with Variable Speed Along Different Paths 99
4.6Summary 102
References 104
5Application and Semi-physical Verification of Artificial Neural Network in RFID Multi-tag Distribution Optimization 105
5.10ptimization of RFID Multi-tag Distribution Based on BP Neural Network 106
5.1.1 Basic Concept of BP Neural Network 106
5.1.2The Algorithm of BP Neural Network 107
5.1.3Design and Implement of RFID Multi-tag Detection System 110
5.1.4Training of BP Neural Network and Result Analysis 113
5.20ptimization of RFID Multi-tag Distribution Based on GA-BP Neural Network 115
5.2.1Basic Concept of GA-BP Neural Network 115
5.2.2GA-BP Algorithm 117
5.2.3Result of GA-BP Neural Network 119
5.30ptimization of RFID Multi-tag Distribution Based on PSO Neural Network 122
5.3.1Basic Concept of PSO Neural Network_ 122
5.3.2PSO Algorithm 123
5.3.3PSO Neural Network Training and Result Analysis 125
5.4Comparison of Different Neural Network Optimization Methods 127
5.5Summary 128
References 130
6 0ptimal Distribution and Semi-physical Verification of RFID Multi-tag Performance Based on Image Processing 131
6.1 Support Vector Machine 131
6.2SVM Regression Algorithm 133
6.2.1 Principle of SVM Regression Algorithm 133
6.2.2 SVM Training Algorithm 134
6.2.3SVM Problem Solving Strategies and Steps 136
6.3Design of Semi-physical Verification System 137
6.3.1 Structure of Image Analysis System 137
6.3.2Semi-physical Verification Test Process 139
6.4Tag Network for 2D Distribution Based on Flood-Fill 140
6.4.1Morphological Operation in Tag Image Processing 141
6.4.2Location Extraction of Tags and Establishment of Tag Network 143
6.4.30pt
