Advanced Intelligent Technologies for Industry: Proceedings of 2nd International Conference on Advanced Intelligent Technologies (ICAIT 2021) (Smart Innovation, Systems and Technologies, 285)

ICAIT-2021 Organization
Preface
Contents
About the Editors
Part I Invited Papers
1 Utilization of the Open-Source Arduino Platform to Control Based on Logic Eτ
	1.1 Introduction
	1.2 Theoretical Reference
		1.2.1 Irrigation System
		1.2.2 Irrigation Methods and Systems
		1.2.3 Localized Irrigation
		1.2.4 Paraconsistent Logic
		1.2.5 Paraconsistent Annotated Evidential Logic Eτ
		1.2.6 Para-Analyser Algorithm
		1.2.7 Arduino
	1.3 Methodology
	1.4 Results
	1.5 Conclusion
	References
2 Ontology Implementation of OPC UA and AutomationML: A Review
	2.1 Introduction
	2.2 Research Method
	2.3 Results Analysis
	2.4 Discussions
	2.5 Conclusions
	References
Part II Regular Papers
3 Airport Cab Scheduling Model Based on Queuing Theory
	3.1 Problem Restatement
		3.1.1 Problem Background
		3.1.2 Problem Requirements
	3.2 Model Assumptions
	3.3 Symbol Description
	3.4 Problem Analysis
		3.4.1 Problem One Analysis
		3.4.2 Problem Two Analysis
		3.4.3 Problem Three Analysis
		3.4.4 Problem Four Analysis
	3.5 Model Building and Solving
		3.5.1 Give the Taxi Driver\'s Decision Model in the Two Choices of A and B
		3.5.2 Analyze the Rationality of the Model Through the Relevant Data of a Domestic Airport and Its City Taxi
		3.5.3 How to Set the “Boarding Point” to Maximize the Efficiency of the Ride
		3.5.4 A Theoretical Analysis of the Scale of “Boarding Points” and Lane Sides
		3.5.5 According to the Difference in the Mileage of Different Taxis, Develop a “Priority” Arrangement Plan to Maximize Time and Revenue
	References
4 Machine Reading Comprehension Model Based on Multi-head Attention Mechanism
	4.1 Introduction
	4.2 Related Work
		4.2.1 DuReader Dataset
		4.2.2 DuReader Baseline Model
		4.2.3 Multi-headed Attention Mechanism
	4.3 Multi-head Attention Mechanism
		4.3.1 Multi-head Attention Presidential Structure
		4.3.2 Scaled Dot-Product Attention
	4.4 Model Structure
		4.4.1 Task Definition
		4.4.2 Embedded Layer
		4.4.3 Coding Layer
		4.4.4 Matching Layer
		4.4.5 Modeling Layer
		4.4.6 Output Layer
	4.5 Experiments and Results
		4.5.1 Evaluation Criteria
		4.5.2 Dataset
		4.5.3 Experiments and Results
	4.6 Conclusion
	References
5 Design of Military Physical Fitness Evaluation System Based on Big Data Clustering Algorithm
	5.1 Introduction
	5.2 Hardware Unit Design of Military Physical Fitness Evaluation System
	5.3 Software Module Design of Military Physical Fitness Evaluation System
		5.3.1 Construction Module of Military Physical Fitness Evaluation Index System
		5.3.2 Application Module of Big Data Clustering Algorithm
		5.3.3 Database Building Module
	5.4 Experiment and Result Analysis
		5.4.1 Construction of Experimental Environment
		5.4.2 Experimental Data Analysis
		5.4.3 Acquisition of Experimental Results
	5.5 Conclusion
	References
6 ResNet-Based Multiscale U-Net for Human Parsing
	6.1 Introduction
	6.2 Related Work
	6.3 Our Proposed Method
		6.3.1 Encoder
		6.3.2 Decoder
		6.3.3 Multiscale Feature Fusion
	6.4 Experiments
		6.4.1 Datasets
		6.4.2 Evaluation Metrics
		6.4.3 Results
	6.5 Conclusion
	References
7 Short-Term Electricity Price Forecast Based on SSA-SVM Model
	7.1 The Introduction
	7.2 SSA
	7.3 SVM
	7.4 The SSA-SVM Model
	7.5 Example Analysis
		7.5.1 Data Processing
		7.5.2 Data Normalization
		7.5.3 Evaluation Indicators
		7.5.4 Analysis of Prediction Results
	7.6 Conclusion
	References
8 Research on Mobile Advertising Click-Through Rate Estimation Based on Neural Network
	8.1 Pricing and Placement of Advertisements
	8.2 The AUC Indicators
	8.3 Estimating Click-Through Rates of Mobile Ads Based on Neural Networks
		8.3.1 Model
		8.3.2 Objective Function and Algorithm
		8.3.3 Key Points of Optimization
		8.3.4 Result Analysis
	8.4 Conclusion
	References
9 Research on Macroeconomic Prediction Technology Based on Wavelet Neural Network
	9.1 Prediction Technology
	9.2 Optimized Wavelet Neural Network Model
	9.3 Case Study
		9.3.1 Specific Introduction
		9.3.2 Training of Learning Samples
		9.3.3 Analyze the Macroeconomic Forecast Results
	9.4 Conclusion
	References
10 Design Research on Financial Risk Control Model Based on CNN
	10.1 Risk Control Model in Unbalanced Data Environment
		10.1.1 Features of Financial Data
		10.1.2 Pretreatment
		10.1.3 Risk Control Model
	10.2 Convolutional Neural Network (CNN) is Used to Build a Financial Risk Control Model
		10.2.1 Design Network Structure
		10.2.2 Result Analysis
		10.2.3 Innovative Analysis
	10.3 Conclusion
	References
11 Application of Multi-objective Optimization Algorithm in Financial Market Portfolio
	11.1 Genetic Algorithm Analysis of Multi-objective Programming
	11.2 Analysis of Portfolio Optimization Model Based on Genetic Algorithm
		11.2.1 Model Framework
		11.2.2 Factor Analysis
		11.2.3 Risk Indicators
	11.3 Application Results
		11.3.1 Data Processing
		11.3.2 Optimal Solution of Investment Portfolio
		11.3.3 Comparative Analysis
	11.4 Conclusion
	References
12 Research on Success Factors of Long Rental Apartment Based on SEM-ANN
	12.1 Introduction
	12.2 Methods
		12.2.1 SEM Model
		12.2.2 ANN Model
		12.2.3 Research Model Based on SEM-ANN
	12.3 Result Analysis
	12.4 Conclusion
	References
13 T-AGP: A Kind of Music-Researching Method Based on Data-Driven Comprehensive System of Network Analysis
	13.1 Introduction
	13.2 Structure and General Description
	13.3 The Influencer Network and Influence Analysis
		13.3.1 Influence Measures
		13.3.2 Subnetwork Analysis
	13.4 Similarity Measure
		13.4.1 The Exploration of Core Features
		13.4.2 Micro-Similarity Between Two Pieces of Music
		13.4.3 Macro-Similarity Between Two Genres
	13.5 Similarity and Difference Between Genres
		13.5.1 Genre Similarity Analysis
		13.5.2 Genre Influence Analysis
		13.5.3 What Distinguishes a Genre
		13.5.4 Relationships Between Genres
		13.5.5 Genres’ Changes Over Time
	13.6 The Mechanism of Influence from Influencer to Follower in Music
	13.7 Dynamic Analysis Over Time and Identification of Major Leaps in Music
		13.7.1 Dynamic Analysis of the Network
		13.7.2 Music Characteristics’ Evolution Over Time
	13.8 Cultural Influence on Music
		13.8.1 Influence from Technology
		13.8.2 Influence from Social and Political Revolution
	13.9 Conclusions and Prospects
		13.9.1 Conclusions
		13.9.2 Weakness
		13.9.3 Prospects
	References
14 Application of Improved Algorithm of BP Neural Network
	14.1 Model Analysis of BP Neural Network
	14.2 Improve the Algorithm
	14.3 Specific Application
		14.3.1 PI Parameter Tuning of Valve Positioner
		14.3.2 Shipboard Navigation System
	14.4 Conclusion
	References
15 Application of Improved Harmony Search Algorithm in Photovoltaic MPPT Under Partial Shadow Conditions
	15.1 Introduction
	15.2 Analysis of Output Characteristics of Photovoltaic Cells Array in Partial Shadow
	15.3 Harmony Search (HS) Algorithm
		15.3.1 Traditional Harmony Search Algorithm
		15.3.2 Improvement of Traditional HS Algorithm
		15.3.3 MPPT Control Method Based on IHS Algorithm
	15.4 Simulation Experiment Analysis
	15.5 Conclusion
	References
16 A Traditional Butterfly Optimization Algorithm MPPT Method
	16.1 Introduction
	16.2 Multi-peak Output Characteristics of Photovoltaic Cells Under Local Shade
		16.2.1 Mathematical Models of Multiple Photovoltaic Cells
		16.2.2 Multi-peak Output Characteristics
	16.3 MPPT Flow Chart Based on BOA
	16.4 Simulation and Result Analysis
		16.4.1 Simulation
		16.4.2 Result Analysis
	16.5 The Conclusion
	1. References
17 Crops Plantation Problem in Uncertain Environment
	17.1 Introduction
		17.1.1 Motivation
		17.1.2 Literature Review
		17.1.3 Proposed Approaches
	17.2 Basic Principles
	17.3 Uncertain Crops Plantation Problem
	17.4 Method
	17.5 Conclusion
	References
18 Simplified Full-Newton Step Method with a Kernel Function
	18.1 Introduction
	18.2 Preliminaries
		18.2.1 The Central Path of the Perturbed Problems
		18.2.2 Search Directions
		18.2.3 The Iterative Process of the Algorithm
	18.3 The Properties of Simple Function and the Proximity Function
	18.4 Algorithm Analysis
		18.4.1 The Feasibility Step
		18.4.2 Upper Bounds for paralleldxfparallel
		18.4.3 Values of θ and τ
		18.4.4 Centering Steps
		18.4.5 Total Number of Main Iterations
	18.5 Conclusion
	References
19 Marine Ship Identification Algorithm Based on Object Detection and Fine-Grained Recognition
	19.1 Introduction
	19.2 Overall Process
	19.3 Design Scheme
		19.3.1 Construction of Data Sets
		19.3.2 Target Detection Network
		19.3.3 Fine-Grained Identification Network
	19.4 Experimental Verification
	19.5 Conclusions and Prospects
	References
20 Automatic Detection of Safety Helmet Based on Improved YOLO Deep Model
	20.1 Introduction
	20.2 YOLOv5 Network Model
		20.2.1 Input
		20.2.2 Backbone
		20.2.3 Neck
		20.2.4 Output
	20.3 Improvements
		20.3.1 Anchor Boxes and Detection Scale
		20.3.2 Loss Function
	20.4 Experimental Result and Analysis
		20.4.1 Dataset
		20.4.2 Training
		20.4.3 Results
	20.5 Conclusion
	References
21 Opinion Mining and DENFIS Approaches for Modelling Variational Consumer Preferences Based on Online Comments
	21.1 Introduction
	21.2 Related Works
	21.3 Proposed Methodology
		21.3.1 Sentiment Analysis from Online Customer Comments
		21.3.2 DENFIS Method
	21.4 Implementation and Validation
	21.5 Conclusions
	References
22 Pysurveillance: A Novel Tool for Supporting Researchers in the Systematic Literature Review Process
	22.1 Introduction
	22.2 State of the Art
		22.2.1 Performance Analysis Tools
		22.2.2 Science Mapping Tools
	22.3 Design and Development of the Solution
		22.3.1 Front-End
		22.3.2 Back-End
		22.3.3 General Architecture of the System
	22.4 Discussion
	22.5 Conclusions
	References
23 Research on Intelligent Control System of Corn Ear Vertical Drying Bin
	23.1 Introduction
	23.2 Parameter Optimization of Drying Device
	23.3 Overall System Design
	23.4 Design of the Control System
	23.5 Monitoring System Module
	23.6 Conclusions
	References
24 The Design of Tracking Car Based on Single Chip Computer
	24.1 Introduction
	24.2 System Design
	24.3 Hardware Circuit Design
	24.4 Results Display and Analysis
	24.5 Conclusion
	References
25 Research Status and Trend Analysis of Coal Mine Electro-Mechanical Equipment Maintenance Under the Background of Smart Mine Construction
	25.1 Introduction
	25.2 Research Status
		25.2.1 Fault Mechanism Study
		25.2.2 Equipment Status Monitoring Research
		25.2.3 Signal Analysis and Processing Study
		25.2.4 Diagnosis and Predication Algorithm Research
	25.3 Problems and Challenges
		25.3.1 Insufficiently Study on the Failure Mechanism of Equipment
		25.3.2 The Unavailable Failure Data at the Coal Mine Site
		25.3.3 Diagnosis and Prediction of Low-Level Intelligence
	25.4 Development Trend Analysis
		25.4.1 Advance the Equipment Fault Identification Time
		25.4.2 Development of Multi-fault Coupled Diagnosis and Predictive Maintenance
		25.4.3 Strengthen the Guidance of Simulation and Experiment Data on Application Field Site
	25.5 Conclusion
	References
26 A Novel Conditioning Circuit for Testing Tank Fire Control Systems
	26.1 Introduction
	26.2 The Functional Requirements and Composition of the Conditioning Circuit
		26.2.1 Analysis of the Functional Requirements of the Conditioning Circuit
		26.2.2 Composition and Function of the Conditioning Circuit
	26.3 The Working Principle of the Conditioning Circuit
		26.3.1 Principle of I/O Control Signal Circuit
		26.3.2 Principle of the DC Signal Acquisition Circuit
		26.3.3 Principle of Conditioning Circuit
	26.4 Experimental Testing
	26.5 Conclusion
	References
27 Intelligent Auxiliary Fault Diagnosis for Aircraft Using Knowledge Graph
	27.1 Introduction
	27.2 The Framework of Auxiliary Fault Diagnosis Technology Based on Knowledge Graph
	27.3 Construction of Aircraft Fault Knowledge Graph
	27.4 Auxiliary Diagnosis Using Fault Knowledge Graph
	27.5 Conclusion
	References
28 Study on the Relationship Between Ship Motion Attitude and Wave Resistance Increase Based on Numerical Simulation
	28.1 Introduction
	28.2 Numerical Wave Pool and Hull Motion
		28.2.1 Numerical Wave Pool
		28.2.2 Hull Motion
	28.3 Analysis of Simulation Results
	28.4 Conclusion
	References
29 Simulation of Automatic Control System of Self-Balancing Robot Based on MATLAB
	29.1 Case Study
	29.2 Controller and System Modeling and Simulation Analysis
		29.2.1 PID
		29.2.2 LQR
	29.3 Modeling and Simulation
	29.4 Result Analysis
	29.5 Conclusion
	References
30 Design of Bionic Knee Joint Structure Based on the Dynamics of Double Rocker Mechanism
	30.1 Dynamic Analysis of Double Rocker Mechanism of Intelligent Prosthesis Knee Joint
	30.2 Optimal Design of Prosthetic Knee Joint Mechanism
		30.2.1 Objective Function
		30.2.2 Determination of Optimization Parameters
		30.2.3 Constraints
	30.3 Virtual Simulation Analysis of Prosthetic Knee Joint Mechanism
	30.4 Conclusion
	References
31 Research on Temperature Decoupling Control System of PET Bottle Blowing Machine Based on the Improved Single Neuron
	31.1 Introduction
	31.2 Modeling of the Temperature Control System of Bottle Blowing Machine
	31.3 PID Decoupling Controller Based on Single Neuron
	31.4 Simulation Study on Temperature Decoupling Control System of Bottle Blowing Machine
	31.5 Actual Debugging Results
	31.6 Conclusions
	References
32 Research on the Simulation Method of the Drift Trajectory of Persons Overboard Under the Sea Search Mode of Unmanned Surface Vehicle (USV)
	32.1 Introduction
	32.2 Force Analysis of Drifting Motion at Sea
	32.3 Drift Velocity Model
	32.4 Computer Simulation
	32.5 Conclusions
	References
33 Design of Infrared Remote Control Obstacle Avoidance Car
	33.1 Introduction
	33.2 Systematic Design
	33.3 Hardware Circuit Design
	33.4 Results Display and Analysis
	33.5 Conclusion
	References
34 Parameter Adaptive Control of Virtual Synchronous Generator Based on Ant Colony Optimization Fuzzy
	34.1 Introduction
	34.2 Basic Principle of Virtual Synchronous Generator
	34.3 Design and Optimization of Fuzzy Controller
		34.3.1 Fuzzy Variable Relation
		34.3.2 Fuzzy Controller Design
		34.3.3 Ant Colony Optimization Fuzzy Controller
	34.4 Simulation Result Analysis
	34.5 Conclusion
	References
35 Attitude Calculation of Quadrotor UAV Based on Gradient Descent Fusion Algorithm
	35.1 Introduction
	35.2 Attitude Calculation and Algorithm Implementation
		35.2.1 Profile Modeling
		35.2.2 Basic Concepts of Quaternion Method
		35.2.3 Attitude Solution of Mahony Complementary Filtering Algorithm
		35.2.4 Attitude Solution Based on Improved Gradient Descent Fusion Algorithm
	35.3 Experimental Test and Result Analysis
	35.4 Conclusion
	References
36 A Mixed Reality Application of Francis Turbine Based on HoloLens 2
	36.1 Introduction
	36.2 MR Provides a New Learning Environment for Francis Turbine
		36.2.1 HoloLens 2 is More Comfortable for Users to Wear Compared with HoloLens
		36.2.2 HoloLens 2 is More Immersive Than HoloLens
		36.2.3 Eye-Tracking
		36.2.4 The Gesture Operation of HoloLens 2 is More Powerful Than that of HoloLens
		36.2.5 Integrated Advanced AI Technology
		36.2.6 HoloLens is Used in Various Education Fields
	36.3 A Framework of Francis Turbine Based on HoloLens 2
		36.3.1 Structure Module of Francis Turbine
		36.3.2 Principle Module of Francis Turbine
		36.3.3 Parts Recognition Module of Francis Turbine
		36.3.4 Assembly Exam Module of Francis Turbine
	36.4 Application Development of Francis Turbine Based on HoloLens 2
		36.4.1 Design of Instructional Content
		36.4.2 Choices of Hardware and Software
		36.4.3 Implementation and Testing of the Application
	36.5 Conclusions
	References
37 Design of Intelligent Lighting Controller Based on Fuzzy Control
	37.1 Introduction
	37.2 Overall System Architecture
		37.2.1 Functional Requirement
		37.2.2 Workflow
	37.3 Intelligent Lighting Controller Design
		37.3.1 Structure of Fuzzy Controller
		37.3.2 Identify Variables and Membership Functions
		37.3.3 Establish Fuzzy Rules
	37.4 Matlab Simulation and Result Analysis
	37.5 Comparison of Simulink Modeling
	37.6 Conclusion
	References
38 Remote Sensing Monitoring of Cyanobacteria Blooms in Dianchi Lake Based on FAI Method and Meteorological Impact Analysis
	38.1 Introduction
	38.2 Data Sources and Research Methods
		38.2.1 Overview of the Study Area
		38.2.2 The Data Source
	38.3 Research Method
	38.4 Results and Analysis
		38.4.1 Time and Space Distribution of Cyanobacteria Blooms in Dianchi Lake
		38.4.2 Mechanism Analysis of Meteorological Factors Influencing the Occurrence and Distribution of Cyanobacteria Blooms in Dianchi Lake
	38.5 Discussion
	38.6 Conclusion
	References
39 Situation Analysis of Land Combat Multi-platform Direct Aim Confrontation with Non-combat Loss
	39.1 Introduction
	39.2 Time Domain Situation Model of land Combat Multi-Platform Direct Aim Confrontation with Non-Combat Loss
	39.3 Situation of Land Combat Multi-platform Direct Aim Confrontation with Non-combat Loss
	39.4 Situation Simulation Analysis of Land Combat Multi-Platform Direct Aim Confrontation with Non-Combat Loss
	39.5 Conclusion
	References
40 Automotive Steering Wheel Angle Sensor Based on S32K144 and KMZ60
	40.1 Introduction
	40.2 Analysis of the Principle of Magnetoresistance and Mechanical Structure
	40.3 Mechanical Structure Design
	40.4 Hardware Design
	40.5 Software Algorithm
		40.5.1 Zero Mark
		40.5.2 Angle Calculation
	40.6 Conclusion
	References
41 Research on Vehicle Routing Problem of Urban Emergency Material Delivery with Time Window
	41.1 Introduction
	41.2 Model Building
		41.2.1 Problem Description
		41.2.2 Mathematical Model
	41.3 An Improved Ant Colony Algorithm for MOVRPTW Problem
		41.3.1 Ant Colony Algorithm
		41.3.2 Selection Strategy
		41.3.3 Pheromone Updating
		41.3.4 Algorithm Steps
	41.4 Case Analysis
	41.5 Conclusion
	References
42 UAV Trajectory Planning Based on PH Curve Improved by Particle Swarm Optimization and Quasi-Newton Method
	42.1 Introduction
	42.2 Problem Description
	42.3 UAV Trajectory Planning Model
		42.3.1 Trajectory Evaluation Model
		42.3.2 The PH Curve
	42.4 Trajectory Planning Algorithm
	42.5 Experimental Simulation
	42.6 Conclusion
	References
43 Maintenance Data Collection and Analysis of Road Transport Vehicles’ Safety Components
	43.1 Introduction
	43.2 Key Safety Components of Road Transport Vehicles
	43.3 Maintenance Data Collection of Road Transport Vehicles’ Safety Components
	43.4 Fault Analysis of Safety Components of Road Transport Vehicles
	43.5 Conclusion
	References
44 Effectiveness Evaluation Method of Marine Environmental Weapons and Equipment Based on Ensemble Leaning
	44.1 Introduction
	44.2 Evaluation Method of Ensemble Learning Efficiency Based on AHP Modeling
		44.2.1 Efficiency Evaluation Modeling Idea Based on AHP Modeling
		44.2.2 Build a Performance Evaluation System
		44.2.3 Evaluation Model Intelligent Learning Optimization Method Based on Ensemble Learning
	44.3 Application Cases and Advantages of Ensemble Learning Assessment Model
		44.3.1 Integrated Learning Application Case
		44.3.2 Advantage Analysis of Ensemble Learning Assessment Model
	44.4 Conclusion
	References
45 A Dynamic Load Distribution Method for Multi-Robot
	45.1 Introduction
	45.2 Kinematics and Force Analysis of Multi-Robot Grasping System
		45.2.1 Kinematics of Multi-Robot Grasping System
		45.2.2 Force Analysis of Multi-Robot Handling System
		45.2.3 Dynamic Manipulability of Multi-Robot
	45.3 Dynamic Load Distribution of Multi-Robot Grasping System
		45.3.1 Virtual Mass and Virtual Inertia
		45.3.2 Load Distribution
	45.4 Simulation
	45.5 Conclusion
	References
46 Research on CNN-Based Image Denoising Methods
	46.1 Introduction
	46.2 Related Work
		46.2.1 Spatial Domain Approach
		46.2.2 Transformation Field Method
	46.3 Method
		46.3.1 Convolutional Neural Networks (CNN)
		46.3.2 Convolutional Neural Networks for Image Denoising
	46.4 Experiment
		46.4.1 Experimental Setting
		46.4.2 Experimental Results
	46.5 Conclusion
	References
47 Sheep Posture Recognition Based on SVM
	47.1 The Significance of Sheep Posture Recognition
	47.2 Methods and Status of Animal Posture Recognition
	47.3 An Algorithm to Segment the Head, Body and Legs of Sheep
		47.3.1 Definition of Sheep Posture Classification
		47.3.2 Establish Posture Image Data Set
		47.3.3 The Sheep Segmentation Algorithm
		47.3.4 The Feature Extraction
		47.3.5 The Normalization
	47.4 The Posture Classification Based on SVM Method
	47.5 Conclusion
	References
48 Research on Application of Information Security Protection Technology in Power Internet of Things
	48.1 Introduction
	48.2 The Structure and Security of Internet of Things
		48.2.1 Perception Layer
		48.2.2 Network Layer
		48.2.3 Application Layer
		48.2.4 Platform Layer
	48.3 Information Security Protection Technology of Power Internet of Things
		48.3.1 Network Security Vulnerability Scanning Technology
		48.3.2 VPN Technology
		48.3.3 Security Audit Technology
		48.3.4 Lightweight Security Authentication Technology
		48.3.5 Biometric Technology
		48.3.6 The New Cryptographic Technology
	48.4 Conclusion
	References
49 Research on User Conversational Sentiment Analysis Based on Deep Learning
	49.1 Introduction
	49.2 Sentiment Analysis Model Based on Deep Learning
		49.2.1 The Generation of Word Vectors
		49.2.2 The Construction of Emotional Model
	49.3 Experiment and Analysis
	49.4 Conclusion
	References
50 Research and Application of Edge Computing and Power Data Interaction Mechanism Based on Cloud-Edge Collaboration
	50.1 Introduction
	50.2 Key Technologies of Edge Intelligent Agent
		50.2.1 Cloud Edge Collaborative Architecture
		50.2.2 Edge Computing
	50.3 Power IoT Data Interaction Mechanism
		50.3.1 Data Fusion Solution Architecture
		50.3.2 Data Interaction Mechanism
	50.4 Data Management and Application
		50.4.1 Data Management
		50.4.2 Power Business IOT Management Application
	50.5 Summary
	References
51 Research and Application of Edge Resource Allocation Algorithm of Power Internet of Things Based on SDN
	51.1 Introduction
	51.2 System Model and Load Model
		51.2.1 System Model
		51.2.2 Network Load Model
	51.3 Simulation Experiment
	51.4 Summary
	References
52 Research and Application of Key Technologies of Multi-round Dialogue in Intelligent Customer Service
	52.1 Introduction
	52.2 Key Technology Methods of Multi-round Dialogue Based on Deep Learning
		52.2.1 Multi-round Dialogue Preprocessing
		52.2.2 Multiple Rounds of Dialogue
		52.2.3 Multi-round Dialogue Key Technology Matching
		52.2.4 Key Feature Extraction
		52.2.5 Evaluation
	52.3 Research and Application of Multi-round Dialogue
		52.3.1 Environment Setup
		52.3.2 Modeling of Multiple Rounds of Dialogue
		52.3.3 Model Definition
	52.4 Summary
	References
53 Rolling Bearing Fault Diagnosis Method Based on SSA-ELM
	53.1 Preface
	53.2 Sparrow Search Algorithm
	53.3 Optimized ELM Based on Sparrow Search Algorithm
		53.3.1 ELM
		53.3.2 Sparrow Search Algorithm to Optimize ELM Fault Diagnosis Process
	53.4 Case Analysis of Rolling Bearing Fault Diagnosis
		53.4.1 The Experimental Data
		53.4.2 Rolling Bearing State Recognition Experiment
	53.5 Conclusion
	References
54 OneNet-Based Smart Classroom Design for Effective Teaching Management
	54.1 Introduction
	54.2 Related Work
		54.2.1 Smart Classroom
		54.2.2 Indoor Positioning
		54.2.3 Data Visualization
	54.3 Proposed Methodology
		54.3.1 The Control System of Classroom Hardware Equipment and Teaching Equipment
		54.3.2 Smart Security Module
		54.3.3 Attendance Management Module
		54.3.4 Data Visualization Module
	54.4 System Implementation
		54.4.1 Perception Layer
		54.4.2 Transport Layer
		54.4.3 Control Layer
		54.4.4 Client Application
		54.4.5 Cloud Application
	54.5 Conclusion
	References
55 Research on Image Denoising Method in Spatial Domain by Using MATLAB
	55.1 Introduction
	55.2 Noise Model and Principle of Spatial Domain Denoising
		55.2.1 Models of Noise
		55.2.2 Principles of Spatial Domain Denoising
	55.3 Three Methods of Spatial Domain Denoising Based on MATLAB
		55.3.1 Median Filter
		55.3.2 Mean Value Filtering
		55.3.3 Wiener Filter
	55.4 Experimental Procedures, Results and Analysis
		55.4.1 Experiment 1: Median, Mean, and Wiener Filtering of the Salt and Pepper, Respectively.
		55.4.2 Experiment 2: Apply Median, Mean, and Wiener Filters to Poisson Noise, Respectively
	55.5 Conclusion
	References
56 An Improved Low-Light Image Enhancement Algorithm Based on Deep Learning
	56.1 Introduction
		56.1.1 Reasons for Research
		56.1.2 Traditional and Modern Methods
		56.1.3 Research Content
	56.2 Basic Network for Improvement
		56.2.1 EnlightenGAN
		56.2.2 Wgan
	56.3 The Proposed Improved Method
		56.3.1 Structural Similarity Loss
		56.3.2 Energy-Based GAN
	56.4 Experiments
		56.4.1 Test Data
		56.4.2 Experimental Results
		56.4.3 Conclusion and Outlook
	References
57 Image Recognition of Wind Turbines Blade Surface Defects Based on Mask-RCNN
	57.1 Introduction
	57.2 Blade Surface Defect Recognition Model Based on Mask-Rcnn
		57.2.1 Region Proposal Network
		57.2.2 Feature Pyramid Network
		57.2.3 ROIAlign Operation
		57.2.4 Multi-task Loss
	57.3 Overall Process of Blade Surface Defect Recognition Based on Mask-Rcnn
	57.4 Simulation Case
		57.4.1 Environmental Configuration and Deep Learning Framework
		57.4.2 Blade Image Data Set Construction and Model Pre-training
		57.4.3 Experiment and Analysis
	57.5 Conclusion
	References
58 TCAS System Fault Research and Troubleshooting Process
	58.1 Introduction
	58.2 Introduction of TCAS System Structure
	58.3 Research on Function Module of TCAS Processor
	58.4 TCAS Processor Fault Test Flow
		58.4.1 Test System Design Scheme
		58.4.2 Troubleshooting Process of TCAS Processor
	58.5 Conclusions
	References
Author Index