Advances in Smart Vehicular Technology, Transportation, Communication and Applications: Proceedings of VTCA 2022

Preface
Contents
About the Editors
Part I Smart Transportation Systems and Technologies
1 Research on Quality Management of Urban Rail Transit Vehicle Frame Overhaul Project
	1.1 Introduction
	1.2 Vehicle Frame Overhaul Quality Management Method
		1.2.1 Maintenance Regulation for Vehicle Frame Overhaul
		1.2.2 Methods of Project Management
		1.2.3 Methods of Quality Management
	1.3 Case Study on Project Quality Management of Frame Overhaul
		1.3.1 Fault Determination and Quality Measures for Pants
		1.3.2 Determine the Content of the Process
		1.3.3 Quality Testing and PDCA Cycle
	1.4 Conclusion
	References
2 Modeling and Analysis of Railway Passenger Flow Forecast During the Spring Festival
	2.1 Introduction
	2.2 LSSVM Model
	2.3 Hybrid Model
		2.3.1 ARIMA Model
		2.3.2 ARIMA-LSSVM Hybrid Model
	2.4 Railway Passenger Flow Forecast During the Spring Festival in Xiamen
	2.5 Conclusion
	References
3 Seasonal and Period Division Method for Dynamic Passenger Flow of High-Speed Railway
	3.1 Introduction
	3.2 Analysis of Dynamic Characteristics of High-Speed Railway Passenger Flow
		3.2.1 Dynamic Characteristics of Annual Passenger Flow
		3.2.2 Dynamic Characteristics of Daily Passenger Flow
	3.3 Season and Period Division of Dynamic Passenger Flow
		3.3.1 Seasonal Division Method of Annual Passenger Flow Based on FO-AP Algorithm
		3.3.2 Period Division Method of Daily Passenger Flow Based on Ordered Clustering Method
	3.4 Case Analysis
		3.4.1 Overview of Beijing–Shanghai High-Speed Railway
		3.4.2 Seasonal Division of Annual Passenger Flow
		3.4.3 Period Division of Daily Passenger Flow
	3.5 Conclusions
	References
4 A Study of High-Speed Railway Train Merger and Adjustment Based on Regional Network
	4.1 Introduction
	4.2 Problem Description
	4.3 Model Construction
		4.3.1 A Subsection Sample
		4.3.2 Objective Function
		4.3.3 Constraint Conditions
	4.4 Algorithm Design
	4.5 Case Analysis
	4.6 Conclusion
	References
5 Research on Platform Door Setting of Suburban Railway of Mass Transit Type
	5.1 Introduction
	5.2 Requirements for Mass Transit Type of Suburban Railway Operation
		5.2.1 Requirements for Suburban Railway Organization
		5.2.2 Requirements for Mass Transit Type of Suburban Railway Operation
	5.3 Study on the Necessity and Feasibility of Platform Door Setting in Suburban Railway
		5.3.1 The Necessity of Platform Door Setting in Suburban Railway
		5.3.2 The Feasibility of Platform Door Setting in Suburban Railway
	5.4 Conclusions
	References
6 Research on Equipment Operation and Maintenance Management Technology of Large Railway Passenger Station
	6.1 Introduction
	6.2 Equipment Operation and Maintenance Management Stage Division
	6.3 Key Technologies of Equipment Operation and Maintenance Management
		6.3.1 Equipment Operation and Maintenance Data Warehouse Technology
		6.3.2 Equipment Operation and Maintenance Data Mining Technology
	6.4 5G Fusion Positioning Technology for Passenger Stations
		6.4.1 Electronic Fence Technology
	6.5 Conclusion
	References
7 Research on Adaptability Evaluation Between Express and Local Train Operation Plan of Urban Rail Transit and Passenger Flow Demand
	7.1 Introduction
		7.1.1 Research Status
		7.1.2 Characteristic Analysis
	7.2 The Evaluation Index
		7.2.1 Passenger Flow Service Quality Index
		7.2.2 Passenger Flow Service Structure Index
	7.3 Evaluation Model
		7.3.1 The Same-Degree Decision-Making Matrix
		7.3.2 Determination of Evaluation Index Weights with AHP
		7.3.3 Comprehensive Evaluation Model
	7.4 Case Analysis
		7.4.1 Operation Plan Analysis
		7.4.2 Evaluation Index Analysis
		7.4.3 Evaluation on the Adaptability of Express and Local Trains Operation Plans and Passenger Flow Demand
	7.5 Conclusion
	References
8 Research on the Network Operation Mode of High-Speed Rail Express
	8.1 Introduction
	8.2 Problem Analysis
	8.3 Model Building
		8.3.1 Parameter Definition
		8.3.2 Objective Function
		8.3.3 Constraints
	8.4 Solving Algorithm
	8.5 Case Analysis
		8.5.1 Calculation of Network Capacity of High-Speed Rail Express
		8.5.2 Annual OD Volume of High-Speed Rail Express
		8.5.3 Calculation of the Carrying Capacity and the Cost of Running in Different Modes of Operation
		8.5.4 Determination of the Network Operation Mode of High-Speed Rail Express
	8.6 Conclusions
	References
9 Solving a Locomotive Routing Problem of Heavy Haul Railways
	9.1 Introduction
		9.1.1 Background
		9.1.2 Literature Review
		9.1.3 Contributions
	9.2 Problem Analysis
	9.3 Model Building
		9.3.1 Model Assumptions
		9.3.2 Mathematical Symbol Description
		9.3.3 Objective Function
		9.3.4 Constraints
	9.4 A Two-Stage Heuristic Algorithm
		9.4.1 Applicability Analysis of Tabu Search Algorithm
		9.4.2 Algorithm Design
	9.5 Case Analysis
	9.6 Conclusion
	References
10 A Study of Optimization of Dynamic Freight Train Diagrams Based on Market-Orientation
	10.1 Introduction
	10.2 Problem Description
	10.3 Model Construction
		10.3.1 A Subsection Sample
		10.3.2 Objective Function
		10.3.3 Constraint Conditions
	10.4 Algorithm Design
		10.4.1 Coding Strategy of Dynamic Line Selection Model Based on BPSO
		10.4.2 Particle Swarm Algorithm Process of Dynamic Line Selection
	10.5 Case Analysis
	10.6 Conclusion
	References
11 Research on Equipment Management System of Railway Passenger Station Based on High-Precision Positioning
	11.1 Introduction
	11.2 Analysis of Equipment Management Requirements of Railway Passenger Station
	11.3 Research on Equipment Management Development Direction in Railway Passenger Stations
		11.3.1 Full Lifecycle Management Theory of Equipment
		11.3.2 High-Precision Equipment Positioning Technology
		11.3.3 Railway Passenger Station Equipment Management Development Direction
	11.4 Design of Railway Passenger Station Equipment Management System Based on High-Precision Positioning
		11.4.1 System Target
		11.4.2 Architecture Design
		11.4.3 Function Design
		11.4.4 Key Technology Realisation
	11.5 Conclusion
	References
12 Design of an Integrated System for the Train Working Diagram of Urban Rail Network
	12.1 Introduction
	12.2 Literature Review
	12.3 Overall System Design
		12.3.1 Overall System Architecture
		12.3.2 System Network Architecture
	12.4 System Function Structure
	12.5 Model Building Network Transport Plan Assessment
	12.6 Network Train Working Diagram Preparation
		12.6.1 Data Management
		12.6.2 Preparation and Adjustment
		12.6.3 Working Diagram Output
		12.6.4 Train Working Diagram Indicators
		12.6.5 Train Connection Assessment
	12.7 Conclusion
	References
13 Research on Optimization of Operation Organization of Transship Trains in Railway Hub
	13.1 Introduction
	13.2 Problem Analysis
	13.3 Model Building
		13.3.1 Conditional Assumptions
		13.3.2 Parameter Definition
		13.3.3 Objective Function
		13.3.4 Constraints
	13.4 Solving Algorithm
	13.5 Case Analysis
	13.6 Conclusions
	References
14 Optimization Principle of Freight Train Operation Plan for Shenhua Railway
	14.1 Introduction
	14.2 Dynamic Planning Type Transportation Organization Model of Shenhua Railway
		14.2.1 Deficiencies of the Existing Transport Organization Model
		14.2.2 Characteristics of Shenhua Railway Transport Organization Operation
		14.2.3 Dynamic Planning Type Transportation Organization Model of Shenhua Railway
	14.3 Optimization Principle of Freight Train Operation Plan for Shenhua Railway
		14.3.1 Optimization Principles for the Preparation of Dynamic Cargo Train Operation Plan for Shenhua Railway
	14.4 Dynamic Cargo Train Operation Programming Optimization Ideology for Shenhua Railway
		14.4.1 Optimization Process of Dynamic Freight Train Operation Plan for Shenhua Railway
	14.5 Conclusion
	References
Part II Smart Vehicular Electronics, Networks, and Communications
15 Resource Recovery Vehicle Picking Up Resource Recovery Bin Robot Arm Structure Design
	15.1 Introduction
	15.2 Robotic Solution Development and Working Principle Analysis
		15.2.1 Structure Design of Manipulator
		15.2.2 Design of End Grab Scheme
	15.3 Kinematics Analysis of Manipulator
		15.3.1 Basic Theory of Kinematics
		15.3.2 Solid Modeling of Manipulator
		15.3.3 Motion Analysis of Manipulator Gripper Clamping Condition
		15.3.4 Motion Analysis of Manipulator Lifting Condition
		15.3.5 Kinematics Analysis of Manipulator Turnover
	15.4 Static and Modal Analysis of Mechanical Arm of Garbage Truck
		15.4.1 Manipulator in Bucket Holding Condition
		15.4.2 Manipulator Lifting Condition
		15.4.3 Manipulator Dumping Condition
		15.4.4 Simulation Analysis of Manipulator
		15.4.5 Modal Analysis of Manipulator Structure
	15.5 Conclusion
	References
16 Reconfigurable Multibody Space Systems Based on Magnetic Flux Pinning
	16.1 Introduction
	16.2 Device Structure and Principle
	16.3 Pinning Force
	16.4 Magnetic Field Design and Rotation Angle Control
	16.5 Summary
	References
17 Research on Supply Chain Financing Mode of New Energy Vehicle Industry
	17.1 Introduction
		17.1.1 Background and Significance of the Research
		17.1.2 Research Status
	17.2 Problems of the Traditional Supply Chain Financing Mode in New Energy Vehicle Industry
		17.2.1 Financing Sources Are Limited by the Traditional Auto Financial Service System
		17.2.2 The Supply Chain for New Energy Vehicle Manufacture Cannot Be Supported by the Financing Mode
		17.2.3 Limited Supply Chain Information Transmission Channels in the New Energy Vehicle Industry
	17.3 Innovative New Energy Vehicle Industry Supply Chain Financing Model
		17.3.1 Prepayment Financing, i.e., Confirming Storage Financing
		17.3.2 Accounts Receivable Financing Mode
		17.3.3 Private Equity Fund Financing Mode
		17.3.4 Financing Leasing Financing Mode
	17.4 Conclusion
	References
18 Design of Intelligent Baby Walker
	18.1 Introduction
	18.2 Structural Design of BW
	18.3 Structural Design of Brake System
	18.4 Vibration Analysis
		18.4.1 Modal Analysis Theory
		18.4.2 Finite Element Modal Analysis
	18.5 Collision Analysis
	18.6 Strength Analysis
	18.7 Control System
	18.8 Conclusion
	References
19 Research on the Method of Handling Missing ETC Transaction Data
	19.1 Introduction
	19.2 Transaction Data Analysis
		19.2.1 Transaction Data Characterization
		19.2.2 Analysis of Abnormal Transaction Data
		19.2.3 Analysis of the Missing Situation
	19.3 Missing Data Repair Method
		19.3.1 Random Forest-Based Restoration Method
	19.4 Experimental Analysis and Results
		19.4.1 Feature Analysis Results
		19.4.2 Results of Data Repair
	19.5 Conclusion
	References
20 Highway Traffic Volume Prediction Based on GRU and Attention by ETC Data
	20.1 Introduction
	20.2 Methodology
		20.2.1 Problem Definition
		20.2.2 Model Structure
		20.2.3 Model Input
		20.2.4 GRU
		20.2.5 Self-attention
	20.3 Experiment and Verification
		20.3.1 Experimental Comparison
		20.3.2 Data Description
		20.3.3 Evaluation Metrics
		20.3.4 Model Hyperparameter Settings
		20.3.5 Experiment
	20.4 Conclusion
	References
21 Traffic Flow Prediction of Expressway Toll Station Exit Based on ETC Gantry Data and Attention Mechanism
	21.1 Introduction
	21.2 Related Works
	21.3 Methodology
		21.3.1 Notation and Problem Definition
		21.3.2 Model
	21.4 Experiments
		21.4.1 Datasets Description
		21.4.2 Relevant Gantry Selection
		21.4.3 Evaluation Metrics and Parameter Settings
		21.4.4 Baseline Approaches
		21.4.5 Results and Analysis
	21.5 Conclusion
	References
22 Expressway Short-Term Traffic Flow Forecasting Considering Spatio-Temporal Features of ETC Gantry
	22.1 Introduction
	22.2 Methodology
		22.2.1 Related Definitions
		22.2.2 Data Transformation
		22.2.3 Kalman Filtering Algorithm
		22.2.4 Feature Construction
		22.2.5 Random Forest
	22.3 Experiment
		22.3.1 Data Description and Evaluating Indicators
		22.3.2 Selection of Kalman Filtering Parameters
		22.3.3 Comparison of Results
		22.3.4 Feature Influence
	22.4 Conclusion
	References
Part III Artificial Intelligence—Innovation Technologies
23 Objectionable Image Content Classification Using CNN-Based Semi-supervised Learning
	23.1 Introduction
	23.2 Proposed Methodology
		23.2.1 Framework for Semi-supervised Objectionable Image Content Classification
		23.2.2 Balanced Sample Inclusion Mechanism
	23.3 Experiments
		23.3.1 Dataset and Implementation Details
		23.3.2 Results and Analysis
	23.4 Conclusion
	References
24 Software and Hardware Cooperative Implementation of the Rafflesia Optimization Algorithm
	24.1 Introduction
	24.2 Rafflesia Optimization Algorithm
		24.2.1 Pollination Phase
		24.2.2 Fruiting Phase
		24.2.3 Sowing Phase
	24.3 Implementation of FROA
	24.4 Experimental Results
		24.4.1 Comparison of Results with and Without Instruction Optimization
		24.4.2 Comparison with Software Results
	24.5 Conclusion
	References
25 A Hybrid Orthogonal Learning and QUATRE Algorithm Based on PPE Algorithm
	25.1 Introduction
	25.2 Related Work
		25.2.1 PPE
		25.2.2 QUATRE
	25.3 OLQTPPE Algorithm
	25.4 Experiment
	25.5 Summary and Prospects
	References
26 Research on Gannet Optimization Algorithm and Its Application in Traveling Salesman Problem
	26.1 Introduction
	26.2 Gannet Optimization Algorithm
	26.3 Traveling Salesman Problems
	26.4 Experimental Results and Analysis
	26.5 Conclusions
	References
27 Artificial Hummingbird Algorithm with Parallel Compact Strategy
	27.1 Introduction
	27.2 Related Work
		27.2.1 Compact Scheme
		27.2.2 AHA Algorithm
	27.3 Improved Artificial Hummingbird Algorithm
		27.3.1 Compact Artificial Hummingbird Algorithm
		27.3.2 Parallel Strategy
	27.4 Experiments
		27.4.1 Benchmark Functions and Algorithm Parameters
		27.4.2 Comparison with the Original Algorithm
		27.4.3 Comparison with Improved Algorithms
	27.5 Conclusion
	References
28 Usability Testing Study of Meal Management APP for the Elderly Based on SHERPA and FMEA
	28.1 Introduction
	28.2 Research Methods and Process
		28.2.1 SHERPA Analysis
		28.2.2 FMEA Analysis
		28.2.3 Design Improvement
		28.2.4 Results Validation
	28.3 Case Study
		28.3.1 SHERPA Analysis
		28.3.2 FMEA Analysis
		28.3.3 Design Improvement
		28.3.4 Results Validation
	28.4 Conclusion
	References
29 Directed Point Clouds Denoising Algorithm Based on Self-learning
	29.1 Introduction
	29.2 Related Work
	29.3 Our Proposed Method
		29.3.1 Overview
		29.3.2 Gridding of Directed Point Cloud
		29.3.3 Self-learning
		29.3.4 Multi-resolution Sampling
		29.3.5 Resampling
	29.4 Experiments
		29.4.1 Experiments Setting
		29.4.2 Comparative Experiment
		29.4.3 Robustness Experiment
	29.5 Conclusion, Limitations and Future Work
	References
30 NIST: Learning Neural Implicit Surfaces and Textures for Multi-view Reconstruction
	30.1 Introduction
	30.2 Related Work
	30.3 Proposed Method
		30.3.1 Surface and Texture Representation
		30.3.2 Learning Implicit Surfaces and Textures
		30.3.3 Training
	30.4 Experimental Evaluation
	30.5 Conclusion
	References
31 Architecture Design of Equipment Warehouse Scheduling System Based on Software Definition
	31.1 Preface
	31.2 The Development and Application of Software- Defined Technology
	31.3 Current Situation of Equipment Storage Scheduling System
	31.4 Application Research of Software-Defined Equipment Warehouse Scheduling System
		31.4.1 Software-Defined Equipment Warehouse Scheduling System Architecture Design
		31.4.2 Design of Central Service Platform Architecture of Software-Defined Warehouse Scheduling System
		31.4.3 Key Technology of Software-Defined Equipment Warehouse Scheduling System Architecture Design
		31.4.4 Application Effect of Software-Defined Equipment Warehouse Scheduling System
	31.5 Conclusion
	References
32 Multi-objective Firefly Algorithm for Hierarchical Mutation Learning
	32.1 Introduction
	32.2 Related Basic Knowledge
		32.2.1 Multi-objective Optimization Problem
		32.2.2 Multi-objective Firefly Algorithm
		32.2.3 Non-dominated Sorting of Sequential Search Strategy
	32.3 MOFA-HML
		32.3.1 Hierarchical Learning
		32.3.2 Mutation Operation
		32.3.3 Individual Selection
		32.3.4 MOFA-HML Algorithm Pseudocode
	32.4 Experiment and Result Analysis
		32.4.1 Experimental Setup
		32.4.2 Performance Indicators
		32.4.3 Comparison with Classical Multi-objective Optimization Algorithms
		32.4.4 Comparison with Newer Multi-objective Optimization Algorithms
	32.5 Summary
	References
33 DUWP: A Dynamic Unmanned Warehouse Partition Model for Balancing Commodity Allocation
	33.1 Introduction
	33.2 Related Work
	33.3 Preliminaries
		33.3.1 Definition and Notation
	33.4 Methodologies
		33.4.1 Methodology Framework
		33.4.2 Principles of Warehouse Layout
		33.4.3 GEIQ Analysis
		33.4.4 Geographical Static Matching
		33.4.5 Dynamic Division of Commodity Volume
	33.5 Experiments
		33.5.1 Datasets
		33.5.2 Case Study
	33.6 Conclusions
	References
34 Density Peaks Clustering Algorithm for Manifold Data Based on Geodesic Distance and Weighted Nearest Neighbor Similarity
	34.1 Introduction
	34.2 DPC Algorithm
	34.3 DPC-GWNN Algorithm
		34.3.1 Local Density Based on K-Nearest Neighbors
		34.3.2 Sample Distance Based on Geodesic Distance
		34.3.3 Assignment Strategy Combining Shared Nearest Neighbor and Natural Nearest Neighbor Weighted Similarity
		34.3.4 Algorithm Steps
	34.4 Experimental Results and Analysis
		34.4.1 Experimental Setting
		34.4.2 Experimental Results and Analysis of the Manifold Dataset
	34.5 Conclusion
	References
35 Optimizing the Layout of Nucleic Acid Test Sites for COVID-19 Based on Gannet Optimization Algorithm
	35.1 Introduction
	35.2 Related Work
	35.3 Model of NATS’s Optimization
	35.4 Gannet Optimization Algorithm
	35.5 Experiments
		35.5.1 Experimental Data Pre-processing
		35.5.2 Simulation Experiments
	35.6 Conclusions
	References
36 Two Factors that Influence Our Selection of Digital Avatars: Gender Performativity and Historical Culture
	36.1 Introduction
	36.2 Literature Review
		36.2.1 The Use of 5G and the Formation of Metaverse Concept
		36.2.2 The Formation of the Concept of Digital Avatar Under the Concept of Metaverse
		36.2.3 Select of Digital Avatars
	36.3 Method
		36.3.1 Selection of Digital Images
		36.3.2 Selection of Study Participants
	36.4 Experiment
		36.4.1 Pre-test Data of the Experimenter\'s Situation
		36.4.2 Experiment Procedure
	36.5 Result
		36.5.1 Elimination of Interfering Factors
		36.5.2 Calculation and Influence of Gender Factors
		36.5.3 The Historical Impact of Digital Avatar Selection
	36.6 Conclusion and Future Work
	References
Part IV Cybersecurity Threats and Innovative Solutions
37 Path Planning Method of UAV Cluster Against Forgery Attack Under Differential Boundary Constraint
	37.1 Introduction
	37.2 Establishment and Analysis of Forgery Attack Model
		37.2.1 Implementation of Forgery Attack
		37.2.2 Analysis of Formation Optimization Model for Forgery Attack
	37.3 Construction of Forgery Attack Model for UAV Formation
		37.3.1 Detection and Processing of Forgery Attack
		37.3.2 The Model of UAV Formation Forgery Attack Defense
	37.4 Formation Route Planning Based on Oc-ACO Algorithm
	37.5 Simulation Results and Analysis
		37.5.1 Conclusion
	References
38 To Analyze Security Requirements of Two AKA Protocols in WBAN and VANET
	38.1 Introduction
	38.2 Review of Protocols
		38.2.1 Review Wu et al.\'s Protocol
		38.2.2 Review Jagriti et al.\'s Protocol
	38.3 Cryptanalysis of Protocols
		38.3.1 Attacker Model
		38.3.2 Cryptanalysis of Wu et al.\'s Protocol
		38.3.3 Cryptanalysis of Jagriti et al.\'s Protocol
	38.4 Conclusion and Suggestion
	References
39 A Method of Expressway Congestion Identification Based on the Electronic Toll Collection Data
	39.1 Introduction
	39.2 Relevant Definitions
	39.3 Methodology
		39.3.1 Data Pre-processing
		39.3.2 Evaluation of Congestion Information for Section on Expressway
	39.4 Results and Discussion
		39.4.1 Pre-introduction
		39.4.2 Result Analysis
	39.5 Results and Discussion
	References
40 Privileged Insider Attacks on Two Authentication Schemes
	40.1 Introduction
	40.2 Review of Seno et al.\'s Protocol
		40.2.1 Registration Phase
		40.2.2 Login and Mutual Authentication Phase
	40.3 Cryptanalysis of Seno et al.\'s Protocol
	40.4 Review of Kumar et al.\'s Protocol
		40.4.1 Initialization Phase
		40.4.2 User Registration Phase
		40.4.3 Sensor Registration Phase
		40.4.4 Login and Mutual Authentication Phase
	40.5 Cryptanalysis of Kumar et al.\'s Protocol
	40.6 Conclusion
	References
41 Secure Communication in Digital Twin-enabled Smart Grid Platform with a Lightweight Authentication Scheme
	41.1 Introduction
	41.2 Related Work
	41.3 System Model
	41.4 Proposed Scheme
		41.4.1 Energy Meter Registration Phase
		41.4.2 Digital Twin Entity Registration Phase
		41.4.3 Session Key Establishment Phase
		41.4.4 Data Transmission Phase
	41.5 Formal Security Analysis
	41.6 Performance Analysis
	41.7 Conclusion
	References
42 A Secure Authentication Scheme for Smart Home Based on Trusted Execution Environment
	42.1 Introduction
	42.2 Related Work
	42.3 System Model
		42.3.1 TrustZone Model
		42.3.2 Remote Control Smart Home Model
		42.3.3 Attacker Model
	42.4 Proposed Scheme
		42.4.1 System Initialization Phase
		42.4.2 User Registration Phase
		42.4.3 Session Key Establishment Phase
		42.4.4 User Remote Control Smart Home Phase
	42.5 Security Analysis
	42.6 Performance Evaluation
		42.6.1 Communication Cost
	42.7 Computation Cost
	42.8 Conclusion
	References
43 Comments on ``Two Authentication and Key Agreement Protocols in WSN Environments\'\'
	43.1 Introduction
	43.2 Review of Protocols
		43.2.1 Review of Jawad et al.\'s Protocol
		43.2.2 Review of Polai et al.\'s Protocol
	43.3 Cryptanalysis of Protocols
		43.3.1 Adversary Model
		43.3.2 Cryptanalysis of Jawad et al.\'s Protocol
		43.3.3 Cryptanalysis of Polai et al.\'s Protocol
	43.4 Conclusion and Discussion
	References
44 Security Analysis of Two Authentication and Key Agreement Protocols Based on Wireless Sensor Networks
	44.1 Introduction
	44.2 Review of Protocols
		44.2.1 Review of Yu et al.\'s Protocol
		44.2.2 Review of Wang et al.\'s Protocol
	44.3 Cryptanalysis of Protocols
		44.3.1 Threat Model
		44.3.2 Cryptanalysis of Yu et al.\'s Protocol
		44.3.3 Cryptanalysis of Wang et al.\'s Protocol
	44.4 Conclusion and Suggestion
	References
45 Face Mask Detection Based on YSK Neural Network for Smart Campus
	45.1 Introduction
	45.2 Related Work
		45.2.1 YSK Backbone Structure
		45.2.2 KCF Tracker
		45.2.3 SA-Net Attention Module
		45.2.4 Data
	45.3 Experiments
	45.4 Conclusion
	References
Author Index