Genetic and Evolutionary Computing: Proceedings of the Thirteenth International Conference on Genetic and Evolutionary Computing, November 1-3, 2019, ... in Intelligent Systems and Computing)

Preface
Conference Organization
	Honorary Chairs
	Advisory Committee Chairs
	General Chairs
	Program Chairs
	Local Organization Chairs
	Electronic Media Chairs
	Invited Session Chairs
	Publication Chair
	Finance Chair
	Program Committee Members
Contents
Nature Inspired Constrained Optimization
Shortest Path Searching for Logistics Based on Simulated Annealing Algorithm
	Abstract
	1 Introduction
	2 Data Acquisition
		2.1 Acquisition of SF Logistics Points
		2.2 Distance Between Logistics Points
	3 Methodology
		3.1 Solution Space and Initial Solution
		3.2 Objective Function
		3.3 Generation of New Solutions
		3.4 Target Function Difference
		3.5 Metro Polis Accepts Guidelines
		3.6 Algorithm Pseudo Code
	4 Simulation Experiment Results
	5 Conclusion
	Acknowledgment
	References
Ant Colony Optimization Algorithm for Network Planning in Heterogeneous Cellular Networks
	Abstract
	1 Introduction
	2 Related Works
		2.1 Relay Technique
		2.2 Ant Colony Optimization
	3 Problem Definition and Proposed Method
		3.1 Network Architecture
		3.2 Definition of Multi-objective Optimization Problem
		3.3 Proposed Ant Colony Optimization Algorithm
	4 Simulation Results
		4.1 Simulation Parameters and Algorithms Compared
		4.2 Planning Case
	5 Conclusions
	Acknowledgements
	References
An Algorithm for Path Planning Based on Improved Q-Learning
	Abstract
	1 Introduction
	2 Related Work
	3 Q-Learning Algorithm
		3.1 Basic Principle
		3.2 Improved Q-Learning Algorithm
	4 Experimental Results and Analysis
	5 Summarizes
	Acknowledgment
	References
Ranking Based Opinion Mining in Myanmar Travel Domain
	Abstract
	1 Introduction
	2 Problem Issues and Related Work
	3 Opinion Mining in Travel Related Domains
	4 Proposed Architecture
		4.1 Review Data Collection from Users by Crowd Sourcing Method
		4.2 Creating Ontology from Visitors’ Reviews
		4.3 Mining Opinion from Visitors’ Reviews
	5 Evaluation Results
	6 Conclusion
	References
Recent Advances on Evolutionary Optimization Technologies
Energy Efficient Container Consolidation Method in Cloud Environment Based on Heuristic Algorithm
	Abstract
	1 Introduction
	2 Related Work
	3 Proposed Algorithm
		3.1 Host Overload Detection Algorithm
	4 Experimental Results
	5 Conclusion
	Acknowledgement
	References
An Improved Bat Algorithm Based on Hybrid with Ant Lion Optimizer
	Abstract
	1 Introduction
	2 Related Work
		2.1 Bat Algorithm
		2.2 Ant Lion Optimizer
	3 Hybrid Bat Algorithm with Ant Lion Optimizer
	4 Experiment Results
	5 Conclusion
	References
A Parallel Strategy Applied to APSO
	1 Introduction
	2 Review of APSO and Parallel PSO
		2.1 Adaptive Particle Swarm Optimization
		2.2 Parallel PSO
	3 Parallel APSO
	4 Conclusion
	References
A Binary Particle Swarm Optimization with the Hybrid S-Shaped and V-Shaped Transfer Function
	Abstract
	1 Introduction
	2 Binary Particle Swarm Optimization
	3 The Analysis of BPSO
		3.1 BPSO Performance Analysis
		3.2 S-Shaped Transfer Function Analysis
		3.3 V-Shaped Transfer Function Analysis
	4 A New Binary PSO with Hybride S-Shaped and V-Shaped Transfer Function
		4.1 The Hybride Strategy of S-Shaped and V-Shaped Transfer Function
		4.2 An Adaptive Mutation Strategy for the New BPSO
	5 Experimental and Result Analysis
		5.1 Related Parameter Settings and Raw Data Sets
		5.2 Experimental Protocol
		5.3 Analysis of Experimental Results
			5.3.1 Comparison of Classification Accuracy of Different Schemes
			5.3.2 Comparison of Experimental Curves
	6 Conclusion
	Acknowledgement
	References
Method for Calculating Grounding Quantity of TN-C System Based on Multi-objective Optimization
	Abstract
	1 Introduction
	2 The Establishment and Solution of Mathematical Models
		2.1 Establishment of Mathematical Model
			2.1.1 Establishment of the Objective Function
			2.1.2 Constraints
			2.1.3 Mathematical Model of Grounding Quantity Configuration
		2.2 Contact Voltage Calculation
		2.3 Solving the Mathematical Model
			2.3.1 Establishment of an Unconstrained Optimization Model
			2.3.2 Algorithm Flow
	3 Example Analysis
		3.1 Analysis of Short Circuit Fault Results
			3.1.1 Single Phase Ground Short Circuit
			3.1.2 Two-Phase Grounding Short Circuit
		3.2 Analysis of the Results of Disconnection Failure
			3.2.1 Single-Phase Disconnection
			3.2.2 Two-Phase Disconnection
	4 Conclusion
	Acknowledgement
	References
A Multiobjective-Based Group Trading Strategy Portfolio Optimization Technique
	Abstract
	1 Introduction
	2 Two Objective Functions Used in Proposed Approach
	3 The Proposed Approach
	4 Experimental Results
	5 Conclusion and Future Work
	Acknowledgments
	References
Research on Optimizing Parameters of Pitch Angle Controller Based on Genetic Algorithm
	Abstract
	1 Introduction
	2 Model of the Wind Turbine System
		2.1 Pitch Actuator
		2.2 Drive Train
	3 Optimization of the Fuzzy Controller Parameters Using Genetic Algorithm
		3.1 Genetic Algorithm Programming
			3.1.1 Combination of Simulink and Genetic Algorithm
	4 Fuzzy Controller Design
	5 Simulation and Discussion
	6 Conclusion
	References
Software Development and Reliability Systems
Research and Simulation Analysis of Brake Energy Recovery Control Strategy for Pure Electric Vehicles
	Abstract
	1 Introduction
	2 Braking Theory Analysis
	3 Control Strategy and Vehicle Modeling
		3.1 Braking Energy Recovery Control Strategy Modeling
		3.2 Vehicle Dynamics Modeling
	4 Simulation Analysis
		4.1 NEDC Cycle Condition Verification
	5 Conclusion
	References
Research on Coupling Vibration of Disk Crack and Shaft Crack of Rotor System Based on Finite Element Method
	Abstract
	1 Introduction
	2 Theories Analysis
	3 Numerical Results
	4 Conclusion
	Acknowledgements
	References
Structure Design and Analysis of Elderly Electric Vehicle Based on Solar Energy
	Abstract
	1 Introduction
	2 Theoretical Model Analysis
	3 Finite Analysis
		3.1 Static Analysis
			3.1.1 Static Analysis Under Bending Conditions
			3.1.2 Static Analysis Under Torsional Conditions
	4 Dynamic Analysis
	5 Conclusion
	Acknowledgements
	References
Structural Design and Analysis of Ring Steering Wheel for Old-Age Walking Vehicle
	Abstract
	1 Introduction
	2 Theories Analysis
		2.1 Theories Research
		2.2 The Establishment of a Modal
	3 Finite Analysis
	4 Static Analysis
		4.1 Static Analysis Under Bilateral Loading
		4.2 Static Analysis Under Unilateral Loading
		4.3 Dynamic Analysis
	5 Conclusion
	Acknowledgements
	References
Rule-Based Graded Braking for Unsignalized Intersection Collision Avoidance via Vehicle-to-Vehicle Communication
	Abstract
	1 Introduction
	2 Methodology
		2.1 Scenario Description
		2.2 Model Formulation
		2.3 Intersection Warning System
	3 Experiments and Results
		3.1 Simulation Platform
		3.2 Simulation Setup
		3.3 Results
	4 Conclusions
	Acknowledgment
	References
A Novel Measure for Trajectory Similarity
	Abstract
	1 Introduction
	2 Related Work
	3 Definition
	4 Algorithm
		4.1 Known Algorithms
		4.2 Novel Optimization
	5 Experiment
		5.1 Effectiveness Tests
		5.2 Efficiency Tests
	6 Conclusion
	References
TS-DBSCAN: To Detect Trajectory Anomaly for Transportation Vehicles
	Abstract
	1 Introduction
	2 Replaying of Trajectory
	3 Methodology
		3.1 Model Analysis
		3.2 TS-DBSCAN Clustering
	4 Experiments and Results
		4.1 Trajectory Data Preprocessing
		4.2 Clustering Experiment and Results
	5 Conclusion
	Acknowledgment
	References
Abnormal Analysis of Electricity Data Acquisition in Electricity Information Acquisition System
	Abstract
	1 Introduction
	2 Causes of Abnormal Electricity Data
		2.1 Abnormal Electric Energy Metering Device
		2.2 Data Channel Exception
		2.3 Abnormalities Caused by Environmental Factors
		2.4 Abnormalities Caused by Human Factors
	3 Analysis of Abnormal Electricity Data
		3.1 Example Introduction
		3.2 Cause Analysis
	4 Improvement Measures
		4.1 Combining with the Actual Situation, Reduce the Device Failure
		4.2 Optimizing the External Environment and Reasonable Overall Planning
	5 Conclusion
	Acknowledgment
	References
A Method of Power Network Security Analysis Considering Cascading Trip
	Abstract
	1 Introduction
	2 Mathematical Representation of Branch Chain Trip
	3 Considering the Critical State of Cascading Trips in All Branches
	4 Power Network Security Index Considering Cascading Trips
	5 Calculation Algorithm of Security Index
	6 Example
	7 Conclusion
	Acknowledgment
	References
Construction Area Identification Method Based on Spatial-Temporal Trajectory of Slag Truck
	Abstract
	1 Introduction
	2 Related Definition
		2.1 Spatial-Temporal Trajectory Sequence
		2.2 Grid Division
		2.3 Grid Density
	3 Methodology
	4 Experiment
		4.1 Experimental Data Description
		4.2 Experimental Results and Analysis
	5 Conclusion
	Acknowledgment
	References
Monitoring Applications and Mobile Apps
Study on Hazardous Scenario Analysis of High-Tech Facilities and Emergency Response Mechanism of Science and Technology Parks Based on IoT
	Abstract
	1 Introduction
	2 Methodology
	3 High-Tech Plant Hazard Level, Severity and Likehood Assessment
	4 Emergency Response Level of High-Tech Plant
	5 Conclusions
	References
Power Flow Calculation Based Newton-Raphson Calculation
	Abstract
	1 Introduction
	2 The Basic Principles and Steps of Newton’s Calculation
	3 Power Flow Calculation Simulation Results and Analysis
	4 Conclusion
	References
Research on the Application of Instance Segmentation Algorithm in the Counting of Metro Waiting Population
	Abstract
	1 Introduction
	2 Related Work
	3 Research on Pixel-Level Instance Segmentation Algorithm
		3.1 Algorithm Application
		3.2 Improved FPN Process
		3.3 Improved NMS Process
	4 Experimental Results
	5 Conclusion
	References
Image and Video Processing
Implementation of Android Audio Equalizer Based on FFmpeg
	Abstract
	1 Introduction
	2 FFmpeg Development and Use
		2.1 FFmpeg Usage
		2.2 The Overall Design
	3 Analysis of FFmpeg High Order Audio Parameters Multiband Equalizer Algorithm
		3.1 Operational Process Analysis
		3.2 Algorithm Simulation Analysis
	4 Development Process and Results Analysis
		4.1 FFmpeg Compilation
		4.2 Android FFmpeg Command Line Use
		4.3 Analysis of Results
	5 Conclusion
	Acknowledgement
	References
Can Deep Neural Networks Learn Broad Semantic Concepts of Images?
	Abstract
	1 Introduction
	2 POPORO Image Dataset and Its Semantic Relatedness Rating
	3 Experiments and Result Analysis
		3.1 Are Similarity Measures of Images in Accordance to Semantic Relatedness?
		3.2 Can DNN Learn Broad Image Semantic Relatedness?
		3.3 Learn Broad Image Semantic Relatedness with Regression DNN
	4 Related Work
	5 Conclusion
	Compliance with Ethical Standards
	References
A Fast Data Hiding Algorithm for H.264/AVC Video in Bitstream Domain
	Abstract
	1 Introduction
	2 Proposed Scheme
		2.1 Embedding Position Selection
		2.2 Embedding Process
		2.3 Extracting Process
	3 Experimental Results
		3.1 Embedding and Extraction Speed
		3.2 Embedding Capacity and Visual Quality
		3.3 Analysis
	4 Conclusion
	References
An Efficient Pattern Recognition Technology for Numerals of Lottery and Invoice
	Abstract
	1 Introduction
	2 System algorithm
	3 Experimental test
	4 Conclusion
	Acknowledgments
	References
An Improved YOLOv3 Algorithm for Pedestrian Detection on UAV Imagery
	1 Introduction
	2 YOLOv3-tiny
	3 The Proposed Method
		3.1 Clustering of Pedestrian
		3.2 Dense-YOLOv3-tiny Network
		3.3 Soft-NMS
	4 Experiment and Analysis
		4.1 Platform and Dataset
		4.2 Training
		4.3 Results
	5 Conclusion
	References
Fast Ship Detection in Optical Remote Sensing Images Based on Sparse MobileNetV2 Network
	Abstract
	1 Introduction
	2 Methodology
		2.1 Depth Separable Convolution
		2.2 Bottleneck Residual Module
	3 Proposed Method
		3.1 Image Segmentation and Decimation
		3.2 Model Training and Verification
		3.3 Model Compression
	4 Experiments
		4.1 Dataset, Evaluation Metrics and Experiment Environment
		4.2 Experiments and Analysis
	5 Conclusion
	References
Image Matching Using Phase Congruency and Log-Gabor Filters in the SAR Images and Visible Images
	1 Introduction
	2 Image Matching Based on Phase Congruency and Log-Gabor Filters for SAR and Visible Images
		2.1 Corners Detection Based on Phase Congruency
		2.2 Feature Descriptor Using Log-Gabor Filters and the Corresponding Keypoints Detection with RANSAC Algorithm
	3 Experimental Results and Discussion
	4 Conclusion
	References
Pattern Recognition
WetlandNet: Semantic Segmentation for Remote Sensing Images of Coastal Wetlands via Improved UNet with Deconvolution
	Abstract
	1 Introduction
	2 Relevant Techniques
		2.1 Encoder-Decoder
		2.2 Deconvolution
		2.3 Depthwise Separable Convolution
	3 The Proposed Method
		3.1 WetlandNet Model Structure
		3.2 Specific Parameters of WetlandNet
	4 Experiments
		4.1 Experimental Image
		4.2 Training Datasets
		4.3 Model Training
		4.4 Experimental Results and Analysis
	5 Conclusion
	References
Intelligent Multimedia Tools and Applications
Digital Multimeter Automatic Verification Device Design
	Abstract
	1 Introduction
	2 Technical Solutions
		2.1 The Hardware Structure of the Device
		2.2 Device Program and Its Composition
	3 Specific Implementation
		3.1 Automatic Verification Device Workflow
	4 Experiments and Results Analysis
		4.1 Automatic Handling Multimeter Function Test and Analysis
		4.2 Automatic Plug-In Function Test and Analysis
		4.3 Automatic Range Adjustment Function Test and Analysis
	5 Conclusion
	References
A Method to Prevent Cascading Trip in Power Network Based on Nodal Power
	Abstract
	1 Introduction
	2 An Index to Measure the Safety of Power Grid When the Cascading Trip Occurs
	3 Optimization Model for Preventing Grid Cascading Trip
	4 Solution of Optimization Model
	5 Example
	6 Conclusion
	Acknowledgment
	References
Insulation Faults Diagnosis of Power Transformer by Decision Tree with Fuzzy Logic
	Abstract
	1 Introduction
	2 The Basic Principle of Three Ratios Method
		2.1 Definition of Decision Tree
		2.2 Establishment of Decision Tree
	3 The Ratio Range Classification Improved
		3.1 Definition of Fuzzy Logic
		3.2 Solution of Fuzzy Logic Under Decision Tree
	4 Comprehensive Fault Diagnosis Results
		4.1 Case Verification
		4.2 Result Discussions
	5 Conclusions
	References
Smart City and Grids
Statistics Algorithm and Application of People Flow Detection Based on Wi-Fi Probe
	Abstract
	1 Introduction
	2 Wi-Fi Probe Working Principle
	3 System Structure
	4 People Flow Statistics and Judgment Algorithm
		4.1 Determination of the Range
		4.2 Determine the Presence of Equipment
		4.3 Population Statistics Processing (Data Processing)
	5 Test Results and Data Analysis
		5.1 Establishing Test Environment
		5.2 Comparison Test Data
		5.3 Analysis of Data
	6 Conclusion
	Acknowledgement
	References
Research on the Status Quo and Problems of Power Grid Production in China
	Abstract
	1 Introduction
	2 Overview of Cutting-Edge Technology for Smart Grid Development
		2.1 Internet of Things
		2.2 Cloud Computing
		2.3 QR Code and Others
	3 Storage and Protection of Big Data in the Power Grid
		3.1 Data Storage Issues
		3.2 Data Preservation Issues
	4 Generation Gap Problem of Power Grid Equipment
		4.1 Differences Between Knife Switches at Different Times
		4.2 Differences Between Relay Protection Devices in Different Periods
	5 Image Classification and Storage Problem After Drone Inspection Operation
		5.1 The Grid Needs to Establish a System Image Data Platform
		5.2 Remote Patrol and Fault Identification Technology Based on 5G Technology
	6 Conclusions
	References
Technologies for Next-Generation Network Environments
Small File Read Performance Optimization Based on Redis Cache in Distributed Storage System
	Abstract
	1 Introduction
	2 Related Work
	3 Problem Description for Small File Read
	4 Cache Optimization Method/Scheme Based on Redis Cache Mechanism
		4.1 The Designed Cache Replacement Optimization Algorithm in Redis
		4.2 The Designed Redis Three-Level Cache Dynamic Elimination Scheme
	5 Experiment and Evaluation
		5.1 Experimental Environment and Dataset
		5.2 Cache Hit Ratio
		5.3 Redis Cache Hit Ratio
	6 Conclusion
	Acknowledgement
	References
Neural Network and Deep Learning
Lightweight Real-Time Object Detection Based on Deep Learning
	1 Introduction
	2 Related Work
		2.1 Brief Introduction of YOLO Algorithm
		2.2 The Network of the Darknet19
	3 The Proposed YOLO-light Network
		3.1 Confusing of Features in Multiple Layers
		3.2 The Framework of Multi-scale Prediction
		3.3 Targets for Anchors Clustering
	4 Experimental Verification and Result Analysis
		4.1 Comparison in mAP
		4.2 Comparison of Speeds
		4.3 Comparisons of IoU Curves
		4.4 Test Effect Charts
	5 Conclusions
	References
Design of Intelligent Water Purification Control System for Small Waterworks Based on LSTM
	Abstract
	1 Introduction
	2 Task Objectives
	3 Water Purification Process
	4 Control System Composition
	5 Calculation of Dosage Based on LSTM
	6 System Programming
	7 Conclusion
	Acknowledgement
	References
An Efficient and Flexible Diagnostic Method for Machinery Fault Detection Based on Convolutional Neural Network
	1 Introduction
	2 The Proposed Machinery Fault Diagnostic Method Based on CNN
	3 Experimental Demonstrations
		3.1 Data Preparation
		3.2 Model Construction
		3.3 Experimental Result
	4 Conclusions
	References
Image Super-Resolution Reconstruction Based on Multi-scale Convolutional Neural Network
	Abstract
	1 Introduction
	2 Image Super-Resolution Reconstruction Based on Multi-scale Convolutional Neural Network
		2.1 Model Architecture
		2.2 Network Training and Loss Function
	3 Experimental Results and Analysis
		3.1 Data Set
		3.2 Experimental Results and Analysis
		3.3 Conclusion and Outlook
	References
PLSTM: Long Short-Term Memory Neural Networks for Propagatable Traffic Congested States Prediction
	Abstract
	1 Introduction
	2 Preliminaries
	3 Methodology
		3.1 Input Series Construction
		3.2 PLSTM Predicting Component
		3.3 Loss Function
	4 Experiments
		4.1 Data Set and Settings
		4.2 Rationality of Input Series Construction
		4.3 Comparison with Other Predictors
	5 Conclusion
	Acknowledgment
	References
Artificial Intelligence Applications
Analysis of Dynamic Movement of Elevator Doors Based on Semantic Segmentation
	Abstract
	1 Introduction
	2 Distance Estimation
		2.1 Semantic Segmentation
		2.2 Image Erosion
		2.3 Prewitt Edge Detection Operator
	3 Results and Discussion
		3.1 Semantic Segmentation
		3.2 Image Erosion
		3.3 Prewitt Edge Detection Operator
		3.4 Result
	4 Conclusion
	References
A Multi-component Chiller Status Prediction Method Using E-LSTM
	Abstract
	1 Introduction
	2 Methodology
		2.1 LSTM Neural Network
		2.2 Improvement of LSTM Model
		2.3 Loss Function
	3 Experiments and Analysis
		3.1 Dataset Description
		3.2 Experiment Setup
		3.3 Experimental results
	4 Conclusion
	Acknowledgement
	References
Improvement of Chromatographic Peaks Qualitative Analysis for Power Transformer Base on Decision Tree
	Abstract
	1 Introduction
	2 Introduce Decision Tree to Chromatographic Peak
	3 The Processes of Improve Algorithm
		3.1 Data Preparation and Feature Selection
		3.2 {{\\bf H}}_{2} Under Decision Tree Model Construction of Component Peak
	4 Test Results and Discussions
	5 Conclusions
	References
A Review of the Development and Application of Natural Language Processing
	Abstract
	1 Introduction
	2 Development of NLP
	3 Application of NLP
		3.1 Lexical Analysis
		3.2 Syntax Analysis
		3.3 Automatic Question and Answer
		3.4 Text Summary
		3.5 Machine Translation
		3.6 Emotion Analysis
	4 Problems and Prospects
		4.1 Semantic Understanding Problems and Prospects
		4.2 Low Resource Issues and Prospects
		4.3 Other Areas of Future Applications
	5 Conclusion
	Acknowledgements
	References
Decision Support Systems and Data Security
Rapid Consortium Blockchain for Digital Right Management
	Abstract
	1 Introduction
	2 DRM System Requirement Analysis and Resolving Scheme
		2.1 DRM System Requirement
		2.2 Blockchain Selection
	3 Digital Right Management System
		3.1 Rapid Consortium Blockchain
		3.2 Master-Slave Rapid Consortium Blockchain
	4 Analysis of RCBDRM
	5 Conclusion
	References
Cryptanalysis of an Anonymous Message Authentication Scheme for Smart Grid
	1 Introduction
	2 Review of Wu et al.\'s Scheme ch52wu19
		2.1 Network Model
		2.2 Detailed Scheme
	3 Cryptanalysis of Wu et al.\'s Scheme
	4 Conclusion
	References
Cryptanalysis of an Anonymous Mutual Authentication Scheme in Mobile Networks
	1 Introduction
	2 Review of Chung et al.\'s Scheme ch53chung2016anonymous
		2.1 Registration
		2.2 Authentication and Session Key Establishment
	3 Cryptanalysis of Chung et al.\'s Scheme
		3.1 Violating Perfect Forward Secrecy
		3.2 Replay Attack
	4 Conclusion
	References
A Lightweight Anonymous Mutual Authentication Scheme in Mobile Networks
	1 Introduction
	2 The Proposed Scheme
		2.1 Registration Phase
		2.2 Authentication Phase
	3 Informal Security Analysis of the Proposed Scheme
		3.1 Replay Attack
		3.2 Denial of Service Attack
		3.3 User Impersonation Attack
		3.4 Knowing Session Key Attack
		3.5 Anonymity
	4 Performance Analysis
	5 Conclusion
	References
Forward Privacy Analysis of a Dynamic Searchable Encryption Scheme
	Abstract
	1 Introduction
	2 DSSE Scheme
	3 Forward Privacy
	4 Discussion
	5 Conclusion
	References
Data Classification and Clustering
A Novel Topic Number Selecting Algorithm for Topic Model
	Abstract
	1 Introduction
	2 Related Works
	3 MTN (Multiple-Topic-Number) Algorithm
		3.1 Basic Theory
		3.2 Process of MTN
	4 Experimental Results
		4.1 Experiment of Chinese
		4.2 Experiment of English
	5 Conclusion
	Acknowledgement
	References
A Multivariate Time Series Classification Method Based on Self-attention
	1 Introduction
	2 Related Work
		2.1 Convolutional Neural Network for Multivariate Time Series Classification
		2.2 Self-attention
	3 Self-attention Temporal Convolutional Networks
		3.1 Network Structure
		3.2 Temporal Convolutional Networks
		3.3 Self-attention
	4 Performance Evaluation
		4.1 Datasets
		4.2 Model Setup
		4.3 Evaluation Metrics
		4.4 Results
	5 Conclusion
	References
Butterfly Detection and Classification Based on Integrated YOLO Algorithm
	1 Introduction
	2 Data Set, Data Annotation and Data Preprocessing
		2.1 Data Set
		2.2 Data Annotations
		2.3 Data Preprocessing
	3 Butterfly Detection and Classification Method
		3.1 YOLO Model
		3.2 Integrated YOLO Algorithm
	4 Experimental Results and Analysis
		4.1 Evaluation Index
		4.2 YOLO V3 Model Effect Experiment
		4.3 Integrated Model Effectiveness Experiments
	5 Summary and Prospect
	References
Text Classification Based on Topic Modeling and Chi-square
	Abstract
	1 Introduction
	2 Methodology
		2.1 Text Preprocessing
		2.2 Feature Extraction
		2.3 Dimension Reduction
		2.4 Chi-square
		2.5 Classification
		2.6 t-SNE
	3 Experimental Results and Analysis
	4 Conclusion
	References
Big Data Analysis and Ontology System
Application Research of Ripley’s K-function in Point Cloud Data Shape Analysis
	Abstract
	1 Introduction
	2 Ripley’s K-function Application Analysis
		2.1 Ripley’s K-function in 2D
		2.2 Ripley’s K-function in 3D
	3 Experimental Results and Analysis
		3.1 2D Point Cloud
		3.2 3D Point Cloud
	4 Conclusion
	Acknowledgement
	References
InSAR Phase Unwrapping with the Constrained Nonlinear Least	Squares Method
	Abstract
	1 Introduction
	2 Terrain Factors Estimation by LS
	3 Experiments and Analysis
		3.1 PIFE Model Experiment
		3.2 Unwrapping Experiment and Analysis
	4 Conclusion
	Acknowledgment
	References
Research and Implementation of Distributed Intelligent Processing Architecture
	Abstract
	1 Introduction
	2 Introduction of the Whole Idea
	3 Practical Application Results
	4 Conclusions
	Acknowledgments
	References
Sentiment Analysis System for Myanmar News Using Support Vector Machine and Naïve Bayes
	Abstract
	1 Introduction
	2 Related Works
	3 Proposed System
		3.1 Training Dataset
		3.2 Preprocessing
		3.3 Feature Extraction and Transformation
		3.4 Classification
	4 Experimental Result
	5 Conclusion and Future Work
	References
State Evaluation of Electric Bus Battery Capacity Based on Big Data
	Abstract
	1 Introduction
	2 Data Preprocessing
		2.1 Data Background
		2.2 Data Processing
	3 Establishment of Regression Model
		3.1 Support Vector Regression
		3.2 Model Evaluation
		3.3 Battery Capacity Estimation
	4 Conclusions
	References
High-Utility Itemset Mining in Big Dataset
	1 Introduction
	2 Related Work
	3 Proposed MapReduce Framework
		3.1 Reveal the Set of 1-HTWUIs
		3.2 Generate the Task Files
		3.3 Execute MapReduce Framework
	4 Conclusion
	References
Study on Health Protection Behavior Based on the Big Data of High-Tech Factory Production Line
	Abstract
	1 Introduction
	2 Methodology
	3 Statistical Analysis and Results in First Generation
	4 Conclusions
	References
Social Network and Stock Analytics
A New Convolution Neural Network Model for Stock Price Prediction
	1 Introduction
	2 Related Work
	3 Stock Prediction Model Based on Convolutional Neural Network
		3.1 Stock Indexes and the Input Image
		3.2 Normalization Function
		3.3 The Flow Chart of SSACNN
	4 Experimental Results
	5 Conclusion
	References
Author Index