6th International Technical Conference on Advances in Computing, Control and Industrial Engineering (CCIE 2021)

Preface
CCIE 2021 Organizing Committee
	Keynote Speakers
	Conference Chairs
	Co-chairs
	Editors
	Publication Chairs
	Program Chairs
	Publicity Chairs
	Conference Secretary
	International TPC Members
About CCIE2021
Contents
About the Editors
Automation and Control
Improvements on PIV Servo-Controller Using Online Disturbance Estimation
	1 Introduction
	2 Servo Motion Control
	3 UFIR Estimator as Disturbance Observer
		3.1 A UFIR Observer-Based Controller
	4 Experimental Verification
		4.1 Case I: Simple Perturbation
		4.2 Case II: Periodic Perturbation
		4.3 Case III: Non-linear Periodic Perturbation
	5 Conclusions
	References
A Comparative Study of Several Mapping Algorithms Based on Laser SLAM
	1 Introduction
	2 SLAM Algorithm
	3 Analysis of Mapping Method
		3.1 Gmapping Algorithm
		3.2 Hector Algorithm
		3.3 Karto Algorithm
		3.4 Cartographer Algorithm
	4 Map Construction Experiment
		4.1 Simulation of Experimental Environment
		4.2 Simulation Experiments
	5 Experiment and Analysis
		5.1 Movement Distortion
		5.2 CPU Load Situation
		5.3 Building Accuracy
	6 Conclusion
	References
Roadway Capacity Analysis Under Connected and Automated Vehicles Environment
	1 Introduction
	2 Distribution Characteristics
		2.1 Probability Model
		2.2 Validation
	3 Car-Following Models
		3.1 FVD Model
		3.2 ACC Model
		3.3 CACC Model
	4 Capacity Analysis
		4.1 Basic Lane Capacity for Single-Lane Highway
		4.2 Capacity for Two-Lane Highway
	5 Conclusion
	References
AUV 3D Path Planning Based on Improved Empire Competition Algorithm in Ocean Current Environment
	1 Introduction
	2 Problem Description
		2.1 Three-Dimensional Environment Model
		2.2 Conical 3D Current Model
		2.3 Multi-objective Performance Evaluation Model
	3 Improved Empire Competition Algorithm Based on Differential Evolution
		3.1 The Basic Idea of Empire Competition Algorithm
		3.2 Improved Empire Competition Algorithm Based on Differential Evolution
		3.3 Algorithm Flow
	4 Simulation and Analysis
		4.1 Simulation Settings
		4.2 Comparison and Analysis of Algorithms in Different Environments
	5 Conclusions
	References
Rotating Target Detection for Remote Sensing Images Based on Dense Attention
	1 Introduction
	2 Related Work
		2.1 YOLOv5 Algorithm
		2.2 Attention Mechanism
	3 Methods
		3.1 Label Format Conversion
		3.2 Detector for Dens
		3.3 Detector for Rotate
		3.4 CA Attention
	4 Experiments and Results
		4.1 Datasets and Evaluation
		4.2 Object Detection Experiment
	5 Conclusion
	References
Sliding Mode Control of Regenerative Chatter in Boring Machining Based on the falReaching Law
	1 Introduction
	2 Dynamic Modeling of Boring Bar
	3 Design of Sliding Mode Controller Based on the falFunction Reaching Law
	4 Simulations
	5 Conclusion
	References
Structural Design of Flexible Exoskeketon Based on Walking Environment Analysis
	1 Introduction
	2 Analysis of Walking Environment
	3 Flexible Exoskeleton Design
		3.1 Global Design
		3.2 Drive Device Design
		3.3 Force Response Analysis
	4 Control System
	5 Summary
	References
Autonomous Route Planning of Unmanned Underwater Cluster Based on Reinforcement Learning
	1 Introduction
	2 Autonomous Route Planning Algorithm for Unmanned Underwater Cluster Cooperation
		2.1 The Cooperative Detection Efficiency Equation of Unmanned Underwater Cluster
		2.2 Reinforcement Learning Algorithm
	3 Design of Autonomous Route Planning Algorithm for Unmanned Underwater Cluster
	4 Simulation Analysis
	5 Conclusion
	References
Bistatic Active Sonar Bayesian Sequential Automatic Detection and Tracking
	1 Introduction
	2 Bistatic Active Sonar System
		2.1 Problem Description
		2.2 System Modeling
	3 Byes Sequential Automatic Detection and Tracking
		3.1 Bayesian Filter Algorithm
		3.2 Sequential Detection and Tracking
	4 Simulation Data Processing and Analysis
	5 Conclusion
	References
A Novel Lateral Control Approach for Path Tracking of Automated Vehicles Based on Flow Guidance
	1 Introduction
	2 Path-Tracking Problem Formulation and Reference Flow Generation
	3 Controller Design
	4 Simulation and Results
		4.1 U-Turn Case
		4.2 Open-Wiggle Case
	5 Conclusions
	References
Extrinsic Parameters Self-calibration Algorithm for Surveillance Camera Integrating Ground-Pedestrian Constraints
	1 Introduction
	2 Definition and Algorithm Flow of Extrinsic Parameter Self-calibration
	3 Extrinsic Parameter Estimation Based on Depth Estimation and Instance Segmentation
	4 Extrinsic Parameter Estimation Based on Pedestrian Geometric Model
		4.1 Pedestrian Detection and Tracking
		4.2 Detection of Head and Foot
		4.3 Calculation of Camera Extrinsic Parameters
	5 Fusion of Redundancy Extrinsic Parameters Estimations
	6 Experimental Results
		6.1 Construction of Datasets
		6.2 Training of BP Neural Network
		6.3 Experimental Results and Analysis
	7 Conclusion
	References
Based on the Design of Real-Time Monitoring of the Number of Bus Passengers Under the COVID-19 Situation
	1 Design Tasks
	2 Basic Requirements of Public Car Model
	3 Design Scheme
		3.1 Minimum System Module
		3.2 Infrared Ranging Module
		3.3 Alarm Module and GPS Data Acquisition Module
	4 Program Flowchart Design
		4.1 Flow Chart of People Data Collection
		4.2 GPS Data Acquisition Card Software Flow Chart
		4.3 System Software Control Flow
	5 Conclusion
	References
Research on Nonlinear System Modeling Based on Fuzzy Neural Network with WOA-ILM Algorithm
	1 Introduction
	2 Network Model and Improved Algorithms
		2.1 Fuzzy Neural Network (FNN)
		2.2 Whale Optimization Algorithm (WOA)
		2.3 Improved Levenberg-Marquardt Algorithm
		2.4 WOA-ILM Algorithm
	3 Simulation Examples
	4 Conclusion
	References
Research on Multi-motor Synchronous Control System of Offshore Platform Based on Mean Coupling
	1 Introduction
	2 Mathematical Model of Three-Phase Motor
	3 Multi-motor Mean Value Coupling Synchronous Control Strategy
	4 Global Fast Adaptive Terminal Sliding Mode Synchronization Control
		4.1 Speed Tracking Controller Design
		4.2 Speed Synchronous Controller Design
		4.3 Stability Analysis
	5 Simulation and Experimental Analysis
		5.1 Simulation Test Without Disturbance
		5.2 Simulation Test Under Disturbance
		5.3 Simulation Result Analysis
	6 Conclusion
	References
Research on Command and Fire Control Integration on Endpoint Defense of Strategic Location
	1 Introduction
	2 Analysis of the Main Problems in the Strategic Location Defence System
	3 Command and Fire Control Integration Technology Measures
		3.1 Shared Detection and Tracking
		3.2 Fusion Situation Solving
		3.3 Integrated Firepower Decisions
		3.4 Centralized Command and Fire Control User Interface
		3.5 Optimize Command and Control Processes
	4 Performance Simulation Analysis
	5 Conclusion
	References
An Improved Algorithm for Occlusion Tracking Based on FDSST and Kalman Filtering
	1 Introduction
	2 Improved FDSST Algorithm
		2.1 Occlusion Judgment
		2.2 An Improved Algorithm for Occlusion Tracking Based on FDSST and Kalman Filtering
	3 Experimental Results and Analysis
		3.1 Simulation Experiment of Tracking Algorithm Based on Standard Data Set
		3.2 Simulation Experiment of Agent Target Tracking on CoppeliaSim Platform
	4 Conclusion
	References
Source Structure Design of Phase Magnetic Beacon Positioning System
	1 Introduction
	2 Special Magnetic Field Synthesis Principle
		2.1 Magnetic Dipole Field Distribution
		2.2 Rotating Magnetic Field Signal Generation Principle
		2.3 Structure Design of Rotating Magnetic Beacon
		2.4 The Simulation Verification
	3 Experimental Verification
	4 Conclusion
	References
Integral Terminal Sliding Mode Control for Quadrotor Based on a Novel Power Reaching Law
	1 Introduction
	2 The System Modeling
		2.1 Quadrotor Dynamic Model
		2.2 Quadrotor System Control Frame
	3 Design of a Novel Variable Exponential Power Reaching Law
		3.1 A Novel Variable Exponential Power Reaching Law
		3.2 Characteristic Analysis of Reaching Law
		3.3 Sliding Mode Controller Based on the Novel Variable Exponential Power Reaching Law
	4 Non-singular Integral Terminal Sliding Mode Surface
		4.1 Design of Non-singular Integral Terminal Sliding Mode Surface
		4.2 Non-singular Integral Terminal Sliding Mode Controller Based on the NVEPRL
	5 Simulation Verification
		5.1 Comparison of Reaching Law
		5.2 Comparison of Different Sliding Mode Surfaces
	6 Conclusions
	References
Research on the Application of Self-optimizing Control Algorithm in Tuned Filters
	1 Introduction
	2 Topological Structure of Tuned Filter
	3 Modeling and Simulation of Filter Reactor
		3.1 Modeling of Filter Reactor
		3.2 Simulation of Filter Reactor
	4 Self-optimizing Control Algorithm of Tuned Filter
		4.1 Self-optimizing Control Target
		4.2 Tuning Direction and Step Size of Self-optimizing Filter
		4.3 Self-optimizing Control Implementation Steps of Tuned Filter
	5 Modeling and Simulation of Tuned Filter
		5.1 Modeling of Nonlinear Load Filtering System
		5.2 Modeling of Tuned Filter
		5.3 Simulation of Tuned Filter
	6 Applications of Tuned Filter
	7 Conclusion
	References
Design and Implementation of Online Control Performance Evaluation System for Renewable Energy
	1 Introduction
	2 Design of Online Monitoring System
	3 Implementation of Basic Parameter Estimation
		3.1 Phasor Rotation Method
		3.2 Adaptive Notch Method
		3.3 Phase-Locked Loop Method
	4 Application of Estimation and Evaluation Methods
		4.1 Test Cases Representation
		4.2 Select the Appropriate Frequency Estimation Method
		4.3 Control Performance Analysis
	5 Conclusion
	References
Computational Intelligence
Prediction of Primary Water Inventory in Nuclear Power Plant Based on Recurrent Neural Network
	1 Introduction
	2 Analysis and Modeling of Primary Water Inventory Control
	3 Time Series Prediction Principle
		3.1 Temporal Convolutional Network
		3.2 Recurrent Neural Network
	4 Working Condition Prediction Based on LSTM-FCN
		4.1 LSTM-FCN Model Structure
		4.2 Build Dataset
		4.3 Construct Input and Output
	5 Experiments and Results
		5.1 Experimental Environment
		5.2 Data Collection
		5.3 Training Details and Evaluation Criteria
		5.4 Experimental Result
	6 Conclusion
	References
Self-adaptive Eyes off Objects Detection for Distracted Driving
	1 Introduction
	2 Related Work
		2.1 Face/Head Detection
		2.2 Gaze Tracking
	3 Method
		3.1 Facial Landmark Detection
		3.2 Head Pose and Pupil Detection
		3.3 EOO Reasoning Method
	4 Experiments
		4.1 Head Pose Estimation
		4.2 Evaluation of EOO
	5 Conclusion
	References
Deep Learning Channel Estimation for OFDM 5G Systems with Different Channel Models
	1 Introduction
	2 Contributions
	3 LSTM Based Channel Estimation
		3.1 System Architecture for DL Channel Estimation
		3.2 Model Training
	4 Simulation
		4.1 Simulation Description
		4.2 Simulation Results
		4.3 Computational Complexity Analysis
	5 Conclusion
	References
An Iterative Local Search Approach of Finding the Minimum Dominating Set in IoT
	1 Introduction
	2 The Problem Model
	3 Iterative Local Search Algorithm for K-Dominant Set Problem
		3.1 Search Strategy and Evaluation Function
		3.2 Neighborhood Structure
	4 Iterative Local Search Algorithm
		4.1 Initial Solution Generation
		4.2 Algorithm Main Frame
		4.3 The Main Frame of Iterative Local Search Algorithm
	5 Experiment and Analysis
		5.1 Experimental Instances
		5.2 Comparison Algorithm
		5.3 Experimental Results
	6 Conclusion
	References
Feasibility Study of Neural Network in Satellite Attitude Determination
	1 Introduction
	2 Attitude Algorithm
	3 Neural Network
		3.1 Radial Basis Function (RBF)
	4 The Simulation and Results
	5 Conclusion
	References
Two-Stream Transformer Encoders for Skeleton-Based Action Recognition
	1 Introduction
	2 Method
	3 Experiments
		3.1 Datasets
		3.2 Implementation Details
		3.3 Ablation Study
		3.4 Comparison with State of the Arts
	4 Conclusion
	References
Fabric Defect Detection Based on Improved Faster R-CNN and Two-Step Clustering Method
	1 Introduction
	2 Textile Fabric Defects Analysis
	3 The Convolution Network Model for Fabric Defect Detection
		3.1 The Improved Faster R-CNN Fabric Defect Inspection Algorithm
		3.2 Resnet101 and FPN Feature-Based Fusion Network
		3.3 Determination of Predefined Anchor Boxes Based on Two-Step Clustering Method
	4 Fabric Defect Detection Experimental Results and Analysis
		4.1 Experimental Environment
		4.2 Fabric Defect Detection Evaluation Matrics
		4.3 Experimental Results
	5 Conclusion
	References
License Plate Recognition System Based on SVM and ANN Neural Network
	1 Introduction
	2 License Plate Location
		2.1 Gaussian Filter
		2.2 Sobel Operator
		2.3 License Plate Location Process
	3 License Plate Recognition
		3.1 License Plate Segmentation
		3.2 LP Recognition
	4 Experimental Results
	5 Summary
	References
A Novel Approach for Community Detection via Autoencoder with Convolutional Neural Networks
	1 Introduction
	2 Convolutional Autoencoder Model
		2.1 Matrix Reconstruction
		2.2 Convolutional Autoencoder Model
	3 Experimental Results and Comparison
		3.1 Dataset
		3.2 Matrix Reconstruction Result
		3.3 Community Detection Result
	4 Conclusion and Discussion
	References
Remaining Useful Life Prediction Based on CNN Method
	1 Introduction
	2 Background
		2.1 Model-Driven Prediction Methods
		2.2 Data-Driven Approaches
	3 Methodology
		3.1 Data Analysis
		3.2 Feature Extraction
		3.3 Data Normalization
		3.4 Model Structure
	4 Experiment
	5 Conclusion
	References
A Dual-Branch Dilated Convolutional Neural Network for Image Denoising
	1 Introduction
	2 The Proposed DBDNet Denoising Method
		2.1 Network Structure
		2.2 Feature Extraction Block
		2.3 Feature Enhancement Block
		2.4 Image Reconstruction Block
	3 Experiment
		3.1 Experimental Dataset
		3.2 Experimental Results
	4 Conclusion
	References
Shunt-Wound Graph Learning for Camera Localization
	1 Introduction
	2 Related Works
	3 Method
		3.1 Preliminaries
		3.2 Shunt-Wound Graph Learning
	4 Experiments
		4.1 Experimental Setting
		4.2 Comparison with State-of-the-Arts
		4.3 Ablation Study
	5 Conclusion
	References
Glottal Dynamic Detection Based on the Cross-Modal Transfer Learning Network Mode
	1 Introduction
	2 Math
		2.1 Cross-Modal Supervision
		2.2 Key-Instant Detection from the EGG Signal
	3 Experimental and Result Analysis
		3.1 Database Description
		3.2 Multipart Figures
		3.3 Comparison Test
	4 Discussion
	5 Conclusion
	References
Trajectory Optimization of New Self-reconfigurable Satellite Based on Meta-heuristic Algorithms
	1 Introduction
	2 Kinematics Model of the SMSRS
	3 Trajectory Optimization of SMSRS
		3.1 Cost Function and Constraints
		3.2 Parameterization of Joint Trajectory
	4 Settings
		4.1 Setting of SMSRS
		4.2 The Setting of Meta-heuristic Algorithm
	5 Results and Analysis
	6 Conclusion
	References
Key Frame Extraction for Calisthenics Video by Combining Articulated Model with Dynamic Clustering Algorithm
	1 Introduction
	2 Related Work
	3 Proposed Approach
		3.1 Body-Part Configuration Estimation of Single Frame
		3.2 Description of Body-Part Motion
		3.3 The Algorithm
	4 Experiments
		4.1 Datasets
		4.2 Implementation Details
		4.3 Results and Discussions
		4.4 Limitations
	5 Conclusion
	References
Web Inspection Algorithm of Low Contrast Paper Defects Using Gabor Filter
	1 Introduction
	2 The Filtering of Paper Defects Image
		2.1 Gabor Filter
		2.2 Gaussian Filter
	3 Proposed Scheme
		3.1 Algorithm of Laplacian Edge Detection
		3.2 Detection Algorithm Flow
	4 Experiment Results and Analysis
	5 Conclusions
	References
Improved Grey Wolf Algorithm to Optimize the Classification of Support Vector Machine Model
	1 Introduction
	2 Support Vector Machine
	3 Improved Grey Wolf Algorithm to Optimize Parameters
		3.1 Introduction of Improved Levy Flight
		3.2 Nonlinear Convergence Strategy - Adjusting Convergence Factor A
	4 Parameter Optimization of SVM Based on IGWA
	5 Experiment and Application
		5.1 Algorithm Function Test and Result Analysis
		5.2 Comparison of IGWO-SVM Models - Case Analysis of Heart Disease
	6 Summary
	References
A High Reliable Routing Algorithm in the Energy Internet
	1 Introduction
	2 Related Work
	3 System Model
		3.1 Link Model
		3.2 Service Model
	4 Solution Approaches
		4.1 PSRA Algorithm
	5 Performance Evaluation
		5.1 Simulation Setting
	6 Conclusions and Future Work
	References
Intelligent Feeding Algorithm for Recirculating Aquaculture System Based on Deep Learning
	1 Introduction
	2 Methodology
		2.1 Feeding Frequency Recognition Model Based on VGG16
		2.2 Residual Bait Detection Model Based on YOLO V5s
		2.3 Design of Feeding Decision-Making Algorithm Based on Feeding Frequency and Residual Bait
	3 Experiment and Evaluation
		3.1 Experimental Setting
		3.2 Model Evaluation and Result Analysis
	4 Conclusion
	References
Research on Classification Method of Support Vector Machine Based on Genetic Algorithm Optimization
	1 Introduction
	2 Support Vector Machine for Linearly Separable Problem of Two Classes
	3 Classification Problem of Multi-class Based on Support Vector Machine
		3.1 One-to-One Classification Algorithm
		3.2 One to Many Classification Algorithm
	4 Support Vector Machine with Nonlinear Training Set
	5 Parameter Optimization of Support Vector Machine Based on Genetic Algorithm
	6 Simulation Results of Support Vector Machine Classification
	7 Conclusion
	References
Low-Resolution Infrared Small Target Detection Algorithm Based on Superpixel Segmentation Technology and AdaBoost-SVM Algorithm
	1 Introduction
	2 Integrate the Basic Units of Superpixel Blocks with Different Characteristics
		2.1 A Subsection Sample Simple Linear Iterative Cluster
		2.2 Use HTML5 to Construct Virtual Target Points
		2.3 Cyclic Data Construction Method
	3 AdaBoost-SVM
		3.1 AdaBoost Algorithm Theory
		3.2 SVM Algorithm Theory
		3.3 AdaBoost-SVM Algorithm Flow
	4 Experimental Results and Analysis
	5 Conclusion
	References
High-Precision Calculation of Electro-Thermal Coupling Field Based on Smooth Finite Element Method
	1 Introduction
	2 Approximation of Electric Field and Heat Flow in Smooth Domain
		2.1 Calculation of Electric Field and Heat Flow by CFEM
		2.2 Calculation of Electric Field and Heat Flow in Smooth Domain
		2.3 Establishing Method of Smooth Domain
	3 Electrothermal Coupling Equation and Discrete Method Based on Smooth Domain
		3.1 Discretization of Joule Thermal Coupled Equations Based on Smooth Domain
		3.2 Calculation of Electric and Heat Conduction Matrix in Smooth Domain
	4 Numerical Case
	5 Conclusions
	References
Computer Engineering and Networks
A Hyperparameters Tuning and Gaussian Smoothing Based FC- Siamese Network for Object Tracking
	1 Introduction
	2 Implementation
		2.1 Siamese Network Model
		2.2 Methods
	3 Experimental Results and Discussion
		3.1 Convolutional Block Initialization and Activation Implementation Results
		3.2 Gaussian Smoothing Spatial Filter Implementation and Hyperparameters Tuning Results
	4 Comparison of Implemented Approaches with Original SiamFC Tracker Performance on VOT 2016 Dataset
	5 Conclusion
	References
Research on UUV Complex Area Planning Method Based on VIN Network
	1 Introduction
	2 The Improvement of Value Iterative Network
		2.1 Improved Training Sample Generation
		2.2 Network Structure Design
	3 Experimental Results and Discussion
		3.1 Analysis of the Degree of Information Retention After the Improvement of VIN Structure
		3.2 Path Planning Results in Grid World
	4 Conclusions
	References
Application Research of YOLOv3 Incorporating Self-attention Mechanism
	1 Introduction
	2 YOLOv3 Network
		2.1 The Basic Idea of YOLOv3 Backbone Network
		2.2 YOLOv3 Decoding and a Priori Frame Adjustment
		2.3 IOU Non-maximum Suppression
	3 COT.NET Self-attention Mechanism
		3.1 COT.NET Principle
		3.2 Combination of YOLOv3 Residual Network and Self-attention Mechanism
	4 Experiment
		4.1 Experimental Data
		4.2 Experimental Process and Experimental Results
		4.3 Multi-size Target Detection Test
	5 Conclusion
	References
A Cache Admission Policy for Cloud Block Storage Using Deep Reinforcement Learning
	1 Introduction
	2 Background
		2.1 Cloud Block Storage
		2.2 Cache Optimization
		2.3 Reinforcement Learning
	3 Design
		3.1 Feature Engineering
		3.2 Three Pillars of Reinforcement Learning
		3.3 Deep Q-Learning
	4 Evaluation
		4.1 Experimental Settings
		4.2 Performance Overview
		4.3 Data Written to Cache
	5 Related Work
	6 Conclusion
	References
Vehicle Light Detection Method Based on Improved CenterNet
	1 Introduction
	2 Improved CenterNet Algorithm Structure
		2.1 Improved CenterNet Algorithm Principle
		2.2 DilatedEncoder
		2.3 Feature Fusion Module
		2.4 Loss Function
	3 Experiment
		3.1 Experimental Dataset and Setup
		3.2 Experimental Results and Analysis
	4 Conclusion
	References
Yi Optimizer for Single Objective Optimization
	1 Introduction
	2 Algorithm Descriptions
		2.1 Review of YYPO
		2.2 The Proposed YI
	3 Experiments and Results
		3.1 Benchmarks
		3.2 Experimental Settings
		3.3 Results of YI on CEC 2017
		3.4 Experimental Results Analysis
	4 Conclusion
	References
Pedestrian Attribute Recognition with Feature Combination in Transformer with Attention Model
	1 Introduction
	2 Relate Work
		2.1 The Attention-Based Mechanism for Attribute Block Extraction
		2.2 The Transformer-Based Memory Network for Attribute Chains
	3 Method
		3.1 Strength of Relationship Between Pedestrian Attributes
		3.2 Image Slicing and Feature Combination
		3.3 FCT Model
		3.4 Attribute Recognition
	4 Experiments
		4.1 Datasets and Evaluation Protocol
		4.2 Implementation
		4.3 Evaluation of Attribute Recognition
	5 Conclusion
	References
Smooth Passage of Objects Through the Portal
	1 Introduction
		1.1 Multi Angle Rendering
		1.2 More Accurate Condition Determination
		1.3 Innovative Picture Rendering
	2 System Architecture
	3 Technical Highlights
	4 Conclusion
	References
Brunnstrom Stage Evaluation Using a Single Sensor for Hemiplegic Upper-Extremities Based on Deep Features
	1 Introduction
		1.1 Related Work
	2 Materials and Methods
		2.1 Data Collection and Process
		2.2 The Proposed 2DCNN
		2.3 The Compared Attention-BiLSTM
	3 Experimental Results and Analysis
	4 Conclusion
	References
Research on Text Detection Algorithm for Pole Signs Based on Lightweight Tiny-DBNet
	1 Introduction
	2 Research Status
	3 The Lightweight Text Detection Algorithm Tiny-DBNet
		3.1 Lightweight Feature Extraction Unit
		3.2 Deep Separable Convolution Residual Block
		3.3 Attentional Mechanism
		3.4 Construct Feature Extraction Network
		3.5 Binary Text Detection Network Tiny-DBNet
	4 The Experiment and Result Analysis
		4.1 Experimental Data
		4.2 Experimental Process and Results
		4.3 Model Performance Analysis
	5 Conclusions
	References
Emotion Recognition Based on Static Human Posture Features
	1 Introduction
	2 Method
		2.1 Position Information of Key Points of the Human Body
		2.2 Pose Feature Extraction
		2.3 Emotion Classification Method Based on Improved VGG16
	3 Experiments and Results
		3.1 Dataset
		3.2 Data Processing
		3.3 Experimental Results of the Improved VGG16
		3.4 Comparison with Other Methods
	4 Conclusion
	References
Modelling and Simulation
Research on Fault Location and Detection of Photovoltaic Arrays Based on IoT Applications
	1 Introduction
	2 Methodology
		2.1 Data Preprocessing
		2.2 Extreme Learning Machine (ELM)
		2.3 Waveform Correlation Coefficient
	3 Photovoltaic Fault Locating Method
	4 Analysis of PV Array Faults
		4.1 Line-to-Line Fault
		4.2 Ground Fault (GF)
	5 Conclusion
	References
Research on Fault Diagnosis of Spark Discharge in Transformer Based on Sound + Improved BP Neural Network
	1 Introduction
	2 Theoretical Foundation and Principle
	3 Optimization of the BP Neural Networks
		3.1 Optimization of the Forward Propagation Process
		3.2 Backpropagation Process Optimization
		3.3 Convergence Accuracy Optimization
	4 Noise Exclusion Process
		4.1 Sample Composition
		4.2 Sample Composition
		4.3 Input and Input-Output Determination
		4.4 Model Training Process
		4.5 Test of the Model
	5 Diagnosis Process of Internal Spark Discharge of the Transformer
	6 Ablation Experiments
	7 Conclusion
	References
Energy Efficiency Model of the PIES Taking into Account the Time-Varying Characteristics of Equipment Operating Conditions
	1 Introduction
	2 Probability Model of Equipment Reliability Considering Operating Condition
		2.1 Typical Structure of PIES
		2.2 Modeling and Analysis of Equipment Time-Varying Reliability Probabilistic Model Under Multiple Factors
	3 PIES Energy Efficiency Model Based on Generalized Energy Flow Analysis
		3.1 Simulation of Equipment Operating Conditions
		3.2 Efficiency Model for Energy Conversion
	4 Case Study
	5 Conclusion
	References
Hybrid VLC Vehicle to Vehicle and LEO Satellite Communication System for Highway Road Coverage
	1 Introduction
	2 System Model
		2.1 Highway Road
		2.2 Vehicle Control Unit
		2.3 VLC Transmitter
		2.4 VLC Receiver
		2.5 VLC and Microwave Channel Properties
		2.6 LEO Satellites Characteristics
		2.7 LEO Satellites Limitations
	3 Framework Operation
		3.1 Data Generation
		3.2 VLC Data Transmission
		3.3 VLC Data Reception
		3.4 When to Change from VLC to LEO and Vice Versa
		3.5 LEO Satellite Communication
	4 Results
		4.1 LEO Satellite Communication Factors Affected by VLC Road Gap Distance
		4.2 Factors that Affect Road Gap Distance
	5 Conclusion
	References
An Accurate Book-Localization Approach Based on Passive Ultra-High-Frequency RFID
	1 Introduction
	2 Basic Framework and Problem Analysis
	3 Approach to Misreading Prevention
		3.1 Fundamental Principle
		3.2 Proposed Approach
	4 Simulation Results
		4.1 Approach Realization
		4.2 Metric Evaluation
	5 Conclusions
	References
Abstract Factory Design Pattern Method for Radar Jamming Effectiveness Evaluation
	1 Introduction
	2 Jamming Effectiveness Evaluation
		2.1 Jamming Effectiveness Evaluation Process
		2.2 Construction of Index System
	3 Abstract Factory Design Pattern
		3.1 Abstract Factory Pattern
		3.2 Abstract Plant Structure for Interference Effectiveness Evaluation
	4 Example Application
		4.1 Define the Evaluation Object
		4.2 Model Establishment
		4.3 Kernel Code
		4.4 Experiment Based on Design Pattern
	5 Conclusion
	References
Risk Assessment of Microgrid Considering Gas-Thermal Coupling
	1 Preface
	2 Overview of the Risk Characteristics of the Microgrid Considering the Coupling of Natural Gas and Thermal Energy
	3 Key Power Equipment Outage Probability Model Considering Natural Gas and Thermal Energy Coupling
		3.1 Power Line Outage Probability Model
		3.2 Transformer Outage Probability Model
		3.3 Generator Outage Probability Model
	4 Microgrid Risk Analysis Model Based on Energy Fl
	5 Risk Assessment of Microgrid with Natural Gas and Thermal Energy Coupling
	6 Example Analysis
	7 Conclusion
	References
Transformer State Evaluation Method Based on Cloud Theory and Variable Weight
	1 Introduction
	2 Establishment of the Evaluation Index System of Transformer Status and Classification of Status
		2.1 Establishment of Transformer State Assessment Indices System
		2.2 Status Classification
	3 State Discrimination Method Based on Cloud Theory
		3.1 Cloud Model Membership Algorithm
		3.2 State Discrimination of Quantitative Indicators Based on Cloud Theory
		3.3 Identification of Qualitative Index Status Based on Cloud Theory and Expert Interval Scoring
	4 Weight Analysis Method of Qualitative and Quantitative Indicators
		4.1 Constant Weight Analysis of Indicators
		4.2 Variable Weight Analysis Method
	5 Case Analysis
	6 Conclusion
	References
Design of Calligraphy Aesthetic Evaluation Model Based on Deep Learning and Writing Action
	1 Introduction
	2 Construction of Data Sets
		2.1 Design the Pen Record Device
		2.2 Dataset Content
	3 Calligraphy Image Evaluation Model
		3.1 Baseline Model
		3.2 Experimental Results
	4 Writing Action Data Evaluation Model
		4.1 LSTM Experiment Results
		4.2 LSTM and KNN Experiment Results
	5 Evaluation Model Effect Demonstration
	6 Conclusion and Future Work
	References
Signal Processing
Study of HFM Pulse Train Signal Based on Barker Code Phase Coding
	1 Introduction
	2 Barker Code Signal [4]
		2.1 Time-Domain Waveform of Barker Code as (1)
		2.2 Auto Correlation Functions of Barker Code [5]
		2.3 Spectrum and Resolution of Barker Codes [4]
	3 Doppler Invariance of HFM
	4 HFM Pulse Train Signal Based on Buck Code Phase Coding
		4.1 Velocity Resolution
		4.2 Distance Resolution
	5 Simulation Verification
	6 Conclusion
	References
A Method for Generating Set of Test Cases for Nuclear Power DCS Combination Based on Contract Model
	1 Introduction
	2 Research Foundation
		2.1 Related Definitions
		2.2 Contract Model
	3 Combination Test Data Set Generation Method Based on IPO Strategy
		3.1 Introduction to IPO Strategy
		3.2 Combination Testing Algorithm with Constraints and Variable Strength Based on IPO Strategy
	4 Combination Test Case Generation Process Based on the System Contract Model
		4.1 Combination Test Preprocessing
		4.2 Contract Solution Optimization
	5 Application Research
		5.1 Core Temperature Measurement System
		5.2 Experimental Results and Analysis
	6 Summary
	References
UFIR Filtering for Uncertain WSN with Multiplicative Noise and Randomly Delayed Data
	1 Introduction
	2 State Space Representation
		2.1 Model Transformation
		2.2 De-correlation of vnand wn
	3 UFIR Filtering for One-Step Randomly Delayed Data
		3.1 Batch UFIR
		3.2 Iterative UFIR Filtering Algorithm
	4 Experimental Verification
		4.1 Tracking Error
		4.2 Data Transmission with Uncertainties
		4.3 Effect of Errors in the Transmission Probability
	5 Conclusions
	References
Finite Impulse Response (FIR) Filters and Kalman Filter for Object Tracking Process
	1 Introduction
	2 Object Representation: Bounding Box
	3 Performance Evaluation of Tracking Algorithm
		3.1 Precision
		3.2 F-Score
	4 Moving Object State Space Model
	5 Kalman Filter
	6 Optimal Finite Impulse Response (OFIR)
	7 Unbiased Finite Impulse Response (UFIR) filter
	8 Optimal Unbiased Finite Impulse Response (OUFIR)
		8.1 Iterative OUFIR
	9 Experimental Tracking Test
		9.1 Test on Simulated Data 1
		9.2 Test on Simulated Data 2
		9.3 Test on Simulated Data 3
		9.4 Test on Simulated Data 4
	10 Conclusions
	References
Research on Dangerous Area Monitoring and Early Warning System Based on Image Processing
	1 Introduction
	2 Experimental Design
		2.1 Experimental Objective
		2.2 Experimental Process
	3 Experimental Method and Process
		3.1 Background Extraction and Update Algorithm
		3.2 Determination of Target Area
	4 Experimental Data
		4.1 Judgment Based on Texture Characteristics
	5 Conclusion
	References
Low-Cost L-Band FMCW Radar for Motion Detection Behind Multiple Walls
	1 Introduction
	2 System Model
	3 Signal Processing
	4 Experimental Measurements
	5 Conclusion
	References
A Lightweight Context-Based Android Malware Detection Scheme
	1 Introduction
	2 Related Work
		2.1 Research on Android Malware Detection Based on Static Analysis
		2.2 Research on Context-Based Data Flow Taint Analysis
	3 Scheme
		3.1 APK Features and Taint Features Extractions
		3.2 Features Value Preprocessing and Calculation
		3.3 The Feature Value of Permission
		3.4 The Feature Value of Source
		3.5 Deep Learning
	4 Experiment
		4.1 Settings
		4.2 Experiments Results
	5 Conclusion
	References
Generation Method of Nuclear Power DCS Integrated Test Case Based on Symbolic Execution
	1 Introduction
	2 Nuclear Power Digital Instrument Control System Development Method
		2.1 Component Contract
		2.2 Data Flow Diagram Design Model
	3 Test Case Generation Based on Symbolic Execution
		3.1 Path Coverage Criteria
		3.2 Path Condition Collection
		3.3 Integration Test Case Set Generation
	4 Experiment and Analysis
		4.1 Experiment 1
		4.2 Experiment 2
	5 Summarize
	References
A Reliable Surface Defect Detection Method Based on Semantic Image Inpainting
	1 Introduction
	2 Proposed Method
		2.1 The Data Augmentation Module
		2.2 Loss Functions
		2.3 Network Architecture
		2.4 Training and Testing Procedure
	3 Experiment
		3.1 Setup
		3.2 Results
	4 Conclusion
	References
Spiking Neural Network Based on Layer-Wise Compensation for Event-Stream Image Classification
	1 Introduction
	2 Related Work
		2.1 DNN-to-SNN Conversion
	3 Methods
		3.1 Network Framework
	4 Experiment
		4.1 Data Set and Hardware Facilities
		4.2 Analysis of Test Results
	5 Conclusion
	References
A Fast Implementation Method of Stepped-RFT for Motion Parameter Estimation of High-Velocity Weak Target Using Synthetic-Wideband Radar
	1 Introduction
	2 Signal Model and the Standard Stepped-RFT
	3 The Stepped-FBRFT Method
	4 Analysis of Computation Complexity
	5 Simulation Results and Analysis
		5.1 Computational Complexity
		5.2 Integration Gain and Velocity Estimation Accuracy
	6 Conclusion
	References
Research on Lightweight Face Recognition Algorithm
	1 Introduction
	2 Face Detection Algorithm
		2.1 Mtcnn
		2.2 Retinaface
		2.3 Face Point Calibration
	3 Experiments
	4 Conclusion
	References
A Non-Local Means Based Multiplicative Denoising Method for Image Processing
	1 Introduction
	2 Non-Local Means Filtering
	3 The Proposed Method
	4 Experiment
		4.1 Denoising with the Same Noise Intensity
		4.2 Denoising with the Different Noise Intensity
	5 Conclusions
	References
Ship Classification Using Swin Transformer for Surveillance on Shore
	1 Introduction
	2 Related Work
		2.1 Ship Image Classification
		2.2 Swin Transformer
	3 Method
		3.1 Overall Architecture of Swin Transformer
		3.2 Swin Transformer Block
	4 Experiments
		4.1 Dataset Description
		4.2 Evaluation Metrics
		4.3 Experiment Instructions and Settings
		4.4 Experimental Results and Analysis
	5 Conclusion
	References
Object Detection in Maritime Scenarios Based on Swin-Transformer
	1 Introduction
	2 Related Works
		2.1 Object Detection
		2.2 Backbone Network
		2.3 Swin-Transformer
	3 Methodology
		3.1 Two-Stage Anchor-Based Framework
		3.2 Hierarchical Structure of Swin-Transformer
		3.3 Hierarchical Structure of Swin-Transformer
	4 Dataset and Training Setting
		4.1 Dataset
		4.2 Evaluation Indexes
		4.3 Training Environment and Hyper-Parameters
	5 Results
		5.1 Performance of Object Detection
		5.2 Analysis of P-R Curves
		5.3 Analysis of Detection Performance by Category
	6 Conclusion
	References
Intelligent Cultivation System of Green Plant Based on Convolution Neural Network and STM32
	1 Introduction
	2 Theory and Method
		2.1 Overall System Design
		2.2 System Flow Chart
		2.3 Basic Principle and Construction Method of Neural Network
		2.4 The Construction of the Deep Learning Network on the Server
	3 Result and Discussion
		3.1 Identification Test Process and Results Based on ResNet
		3.2 Physical Drawing of Hardware Device
	4 Conclusion
	References
Human Behavior Recognition Based on Millimeter Wave Radar
	1 Introduction
	2 Experimental Setup and Data Acquisition and Processing
	3 LSTM Deep Learning Network
	4 Experiment and Result Analysis
	5 Conclusion
	References
The Algorithms of Recognizing Triple Junction and Extracting Angle for Grain Boundary Image
	1 Introduction
	2 Related Content
		2.1 Grain Boundary Image
		2.2 Angle of Triple Junction
	3 Proposed Algorithm
		3.1 The Algorithm of Recognizing Triple Junction
		3.2 The Algorithm of Extracting Triple Junction Angle
		3.3 Algorithm Metrics
	4 Experimental Results and Analysis
		4.1 Triple Junction Recognition
		4.2 Triple Junction Calculation
		4.3 Number of Triple Junctions
		4.4 Angle Distribution of Triple Junction
	5 Conclusion
	References
Optimization Techniques
Optimization Method of Air Defense Missile Launch Type
	1 Introduction
	2 Air Defense Missile Launch Type Optimization Model
	3 Encounter Point Prediction Algorithm
		3.1 Ground Parameter Coordinate System
		3.2 Description of Relative Motion
		3.3 Calculation of Starting Control Point Coordinates
		3.4 Calculation of Encounter Point Coordinates Under Common Guidance Methods
	4 Conclusion
	References
Research on Location and Capacity Planning Method of Distributed Energy Storage Power Station Considering Multi-optimization Objectives
	1 Introduction
	2 Bi-level Programming Problem
		2.1 Mathematical Model of Bi-level Programming
		2.2 Energy Storage Bi-level Planning Framework
	3 Constant Volume Optimization Model of Upper Layer of Energy Storage
		3.1 Objective Function
		3.2 Constraints
	4 The Optimization Model of Energy Storage Lower Layer Location
		4.1 Objective Function
		4.2 Constraints
	5 Dimensionless Treatment
	6 Example Analysis
		6.1 Analysis of Optimal Allocation of Energy Storage Capacity
		6.2 Analysis of Optimal Allocation of Energy Storage Location
	7 Summary
	References
Information Driven Mining Method for Critical Characteristics of Power Grid Transient Stability
	1 Introduction
	2 Basic Principles and Ideas
	3 Sample Generation and Data Processing at This Component
		3.1 Sample Generation Method of Intrinsic Method
		3.2 Data Standardization Processing of the Registration Office
	4 Information Driven State Bound Mining Method and Transient Stability Critical Feature Mining Method
		4.1 Data Mining
		4.2 Artificial Intelligence Technology
		4.3 Trace Analysis Method
	5 Algorithm Example
		5.1 Line AC36 Fault
	6 Bus 15 Fault
	7 Summary and Prospect
	References
Demonstration-Based Proximal Policy Optimization with Action Guidance
	1 Introduction
	2 Background
		2.1 Ppo
		2.2 Demonstration
	3 Proposed Method
		3.1 Clip Counted
		3.2 Guided PPOfD with BC Loss
	4 Experimental Results
		4.1 Experiment Setting
		4.2 Results
	5 Conclusions
	References
EEG Signal Learning Dictionary Based on Improved Empirical Wavelet Transform
	1 Introduction
	2 Improved Empirical Wavelet Transform
	3 K-SVD Dictionary Learning Based on Improved Empirical Wavelet
		3.1 K-SVD Dictionary Learning
		3.2 EEWT-KSVD Dictionary Learning Method
	4 Experimental Simulation Results and Analysis
		4.1 Experimental Data
		4.2 Evaluation Criterion
		4.3 Analysis of Simulation Results
	5 Conclusion
	References
Iterative PSO Algorithm for RAP Problem with Homogeneous Component in Subsystems
	1 Introduction
	2 Assumptions and Models
		2.1 Assumptions
		2.2 Model
	3 Algorithm
		3.1 Construction and Coding of Solutions
		3.2 Algorithm
	4 Typical Examples
		4.1 FYFFE Problem
		4.2 Generalized FYFFE Problem
	5 Conclusion
	References
Research on Task Scheduling of Emergency Repair Team in Wartime Based on Improved Genetic Algorithm
	1 Introduction
	2 Problem Description and Model Building
		2.1 Conditional Assumption
		2.2 Define Variables and Constraint
	3 Algorithm Solution
		3.1 Algorithm Flow
		3.2 Algorithm Design
	4 Example Analysis
	5 Conclusion
	References
An Improved ROI Encryption Algorithm for Infrared Images with Logistic System
	1 Introduction
	2 Improved Logistic Chaos System
	3 The Algorithm of ROI Encryption
		3.1 The Extraction of ROI
		3.2 ROI Encryption of Classical Matrix Transformations
		3.3 ROI Encryption Based on Improved Logistic System
	4 Results of the Experiment
		4.1 The Result of Encryption
		4.2 Analysis of Key Sensitivity and Space
		4.3 Operation Speed
	5 Parallel Processing Scheme for ROI Encryption of Infrared Image Information
	6 Conclusion
	References
Fast Algorithm of Three-Layer Flexible Neural Network Using Pseudo-inverse Learning Algorithm
	1 Introduction
	2 Background
		2.1 Pseudoinverse Learning Algorithm
		2.2 Flexible Neural Tree
	3 Methods
	4 Experimenting
		4.1 Flexible Neural Tree
	5 Results
	6 Conclusions
	References
Author Index