Advances in Intelligent Automation and Soft Computing

✍ Scribed by Xiaolong Li (editor)

• Publisher: Springer
• Year: 2021
• Tongue: English
• Leaves: 1317
• Series: Lecture Notes on Data Engineering and Communications Technologies, 80
• Edition: 1
• Category: Library

✦ Synopsis

This book presents select proceedings of the International Conference on Intelligent Automation and Soft Computing (IASC2021).  Various topics covered in this book include AI algorithm, neural networks, pattern recognition, machine learning, blockchain technology, system engineering, computer vision and image processing, adaptive control and robotics, big data and data processing, networking and security. The book is a valuable reference for beginners, researchers, and professionals interested in artificial intelligence, automation, and soft computing. 

 

✦ Table of Contents

Preface
Organization
International Conference on Intelligent Automation and Soft Computing Committees List
General Chairs
Technical Program Chairs
Program Committee
Keynote Speakers
Smart Handheld Robotic Surgical Instrument
Machine Learning for Future Generation IoT
Contents
AI Algorithms and Applications
Application of the Optimal Integrated Medical Intelligence System to Strengthen Physical Immunity
1 Introduction
2 Material and Methods
2.1 Framework of Medical System to Strengthening Immunity
2.2 Materials and Methods
3 Results
3.1 Physical Condition Before and After Application of Medical System
3.2 Effect of Integrated Medical System
4 Discussion and Conclusion
References
Simultaneous Detection of Optic Disc and Macular Concave Center Using Artificial Intelligence Target Detection Algorithms
1 Introduction
2 Related Work About the Paper
3 Methods
3.1 Dataset
3.2 Deep Learning Model
3.3 Performance Evaluation
4 Results
5 Discussion
6 Conclusion
References
Cuckoo Optimization Algorithm Visual Positioning System Based on Particle Swarm Algorithm
1 Introduction
2 Particle Swarm Algorithm
3 Cuckoo Optimization Algorithm Based on Particle Swarm Algorithm
4 Simulation Analysis
4.1 Calculation Parameters
4.2 Simulation Results
5 Conclusion
References
A Novel Indoor Object Detection Algorithm Under Complex Conditions
1 Introduction
2 Related Works
2.1 Color Segmentation
2.2 Local Stability
3 Analysis and Our Approach
3.1 Analysis
3.2 Our Approach
4 Experiments
4.1 Databases
4.2 Experimental Settings
4.3 Ablation Studies
4.4 Comparative Experiments for Indoor Object Detection
4.5 Discussion
5 Conclusion
References
Periodic Dynamic Event-Triggered Cluster Formation Control of Multi-agent Systems
1 Introduction
2 Communication Topology
3 Problem Formulation
3.1 Dynamic Event-Triggered Communication Mechanism
3.2 Cluster Formation Representation
3.3 Event-Triggered Distributed Cluster Formation Protocol
4 Dynamic Event-Triggered Cluster Formation Analysis
5 Illustrative Example
6 Conclusion
References
Smart Flower Cultivation System
1 Introduction
2 System Design
3 Hardware Design
3.1 Main Control Chip
3.2 Data Collection Module
3.3 Voice Recognition Module
3.4 Network Module
3.5 Actuator
4 Software Design
4.1 Main Program Design
4.2 Data Collection and Corresponding Actuator Module Software Design
4.3 Network Module Software Design
4.4 Speech Recognition and Corresponding Module Software Design
5 System Performance Test and Results
5.1 System Performance Test
5.2 Result Analysis
6 Conclusion
References
Software Reliability Model Related to Total Number of Faults Under Imperfect Debugging
1 Introduction
2 Modeling
2.1 Assumptions
2.2 Reliability Modeling Concerning the Total Number of Faults in Software for Imperfect Debugging
3 Experiments
3.1 Models for Comparison
3.2 Comparison Criteria
3.3 Evaluation
3.4 Analysis of the Total Number of Faults
4 Conclusion
References
Virtual Cluster Model Based on Big Data Application
1 Introduction
2 Problem Description
3 Deployment Model Based on Virtual Cluster
3.1 Formalization of Representation Model
3.2 Template Based on Job Requirement Resource
3.3 Dynamic Deployment Mechanism Based on Big Data
3.4 Design of Deployment System Based on Virtual Dynamic
4 Conclusion
References
Optimization of AMR Local Turning Path Based on Double Line Constraint
1 Introduction
2 The Principle of Turning Path Planning with Double Line Constraints
2.1 Common Steering Modes of AMR
2.2 AMR Turning Along Double Track
2.3 Analysis of AMR Turning Model Along Double Line
3 Simulation of Steering Mode at AMR Corner
3.1 AMR Simulation of Different Steering Modes
3.2 Comparative Analysis of Simulation Results of Different Steering Modes
4 AMR Corner Turning Verification Experiment
4.1 Introduction of Test Platform
4.2 AMR Turning Test Along Double Track
5 Conclusion
References
An Improved Lion Swarm Algorithm Based on Reinforcement Learning
1 Introduction
2 Algorithm Principles
2.1 Lion Swarm Optimization
2.2 Reinforcement Learning
2.3 Lion Swarm Optimization Algorithm Based on Reinforcement Learning
3 Experiments and Result Analysis
3.1 Standard Test Functions
3.2 Parameter Setting
3.3 Simulation Results
4 Conclusions
References
Research on Intelligent Testing Method of Automobiles Fuel Consumption Based on Ultrasonic Technology
1 Introduction
2 Principle of Automotive Ultrasonic Fuel Consumption Testing
3 Mechanism of Automotive Ultrasonic Fuel Consumption Testing
4 Calculation Method and Correction Model of Automobile Ultrasonic Fuel Consumption Testing
4.1 Calculated Crossing Time
4.2 Calculated Structure Parameters of Ultrasonic Flow Sensor
4.3 Calculation the Flow Correction Coefficient (fq)
4.4 Calculated Weight Coefficient (fz)
4.5 Calculated Sound-Temperature Correction Coefficient (ft)
4.6 Optimization Model of Automotive Fuel Consumption Calculating
References
Discovering the Coopetition Relationship Between Agents Using Clustering
1 Introduction
2 The Basic Concept
3 The Algorithm Design
3.1 Constructing the OVA Time Series
3.2 Constructing the Correlation Sequence of Observed Value
3.3 Clustering Based on Agent Correlation
4 Experiment and Evaluation
4.1 Experimental Setup
4.2 Results and Discussion
5 Conclusion
References
Study on the Change of POI Attraction Based on Taxi Trajectory
1 Introduction
2 Related Work
3 Method of This Paper
3.1 POI Classification
3.2 Spatial Clustering Algorithm
3.3 Attractiveness Calculation
4 Experimental Results and Analysis
4.1 Stay Point Extraction
4.2 The Distribution of Stay points in Different Time Periods
4.3 The Attractive Distribution of POI
5 Conclusion
References
Can “Neuromorphic Completeness” and “Brain-Inspired Computing” Provide a Promising Platform for Artificial General Intelligence?
1 Introduction
2 Turing-Computability and Turing-Completeness
3 Problems in the Definition of “Neuromorphic Completeness”
4 Can “Brain-Inspired Computing” Provide a Promising Platform for Artificial General Intelligence?
5 Concluding Remarks
References
An Oxygen Forecasting Strategy for Waterless Live Fish Transportation Based on IPSO-GRU Method
1 Introduction
2 Methodology
2.1 Particle Swarm Optimization
2.2 Improved Particle Swarm Optimization (IPSO)
2.3 GRU Neural Network
2.4 IPSO-GRU Method
3 Results and Discussion
3.1 Experimental Data Preparation
3.2 IPSO Performance Evaluation
3.3 Evaluation Criteria
3.4 Comparison of Prediction Methods
4 Conclusion
References
Support Technology of Weapon Equipment Selection Based on Question and Answer
1 Introduction
2 Characteristics of Knowledge Question and Answer in the Field of Weapon Equipment Selection
3 Construction of Weapon Equipment Knowledge Graph
4 Realization of the Support Technology of Weapon Equipment Selection
4.1 Module Based on Template Matching
4.2 FAQ Find Module
5 Experiment and Analysis
6 Conclusion
References
Algorithm Design of Semantic Map Construction for Dynamic Scene
1 Introduction
2 Semantic Segmentation Based on Deep Learning
3 Dynamic Object Influence Removal Algorithm Based on Visual Odometer
4 Semantic Point Cloud Acquisition and Fusion Algorithm
4.1 Semantic Point Cloud Acquisition of Single Frame Image
4.2 Global Semantic Point Cloud Convergence
5 Experiment and Analysis
5.1 Dynamic Dataset Pose Estimation Verification
5.2 Semantic Map Construction
6 Conclusion
References
Damping Effect of a Controlled Nonlinear Meso-Scale Beam Under Periodic Excitation
1 Introduction
2 General Analytical Solution to Controlled Nonlinear Beam
3 Iteration Procedure for Periodic Response
4 Numerical Results
5 Conclusions
References
Weighted Histogram Block Detection Algorithm for Digital Trunking Terminal
1 Introduction
2 The Proposed Algorithm
2.1 Pixelwise
2.2 Color Histogram
2.3 Proposed Algorithm
3 Simulation Analysis
3.1 Brightness Change Video Detection
3.2 Detection of Videos with Similar Gray Distributions
3.3 Performance Verification
4 Conclusion
References
Design of Smart Shopping Cart Traction System Based on STM32
1 Introduction
2 General Design Scheme
3 Hardware Structure
3.1 Display and Positioning Mechanism of STM32 Microcontroller
3.2 Positioning System Building Based on UWB Module
3.3 Hardware Driver Simulation Using Proteus 8 Professional Software
4 Program Design
4.1 Base Station and Tag Position Display Using STM32 Microcontroller with an LCD Screen
4.2 Program Design of UWB Base Station Module and Tag Module
5 Experimental Test and Result
5.1 Debugging of UWB Positioning System Based on Microcontroller and LCD Display
5.2 Proteus 8 Professional Simulation Debugging
6 Conclusion
References
Research on Automatic Garbage Sorting System Based on Artificial Intelligence
1 Introduction
2 Research Content
3 System Principle
4 Hardware System Design
5 Software System Design
6 Conclusion
References
An Improved Algorithm for High-Precision Frequency Estimation
1 Introduction
2 Signal Model
3 The A&M Algorithm
4 The Principle of the Improved High-Precision Frequency Estimation Algorithm
5 Simulation Analysis
5.1 The Performance Analysis of Different Algorithms
5.2 The Performance Analysis of Different Signal Lengths
5.3 The Performance Analysis of Different SNRs
5.4 The Calculation Analysis of Different Algorithms
6 Conclusion
References
Speech Analysis Model Based on the Feature of Pitch and Overtones
1 Introduction
2 Multiple Frequency Model of Speech
2.1 Establishing Multiple Frequency Model
2.2 Analysis of Multiple Frequency Model
3 The Application of Multiple Frequency Model in Pitch Detection
4 Comparing Multiple Frequency Model with Formant Model
5 Conclusion
References
A GPU-Based Energy Saving Algorithm for Smart Buildings
1 Introduction
2 Related Theories
2.1 Markov Decision Process
2.2 GPU Parallel Computing Technology
2.3 Fuzzy C-menas
3 Building Energy-Saving Method Based on GPU Computing
3.1 Modeling of the Environment
3.2 Process of GPU Parallel Computing
3.3 Framework of Energy-Saving Algorithm
3.4 Process of Energy-Saving Algorithm
4 Chapter Summary
References
Intelligent Automation and Adaptive Control
Research on Key Technology of Electro Mechanical Brake for Ultra Deep Mine Hoist
1 Introduction
2 Brake Structure Design
3 Simulation Analysis of Brake Performance
3.1 Establishment of Brake Mathematical Model
3.2 Adaptive Automatic Clearance Adjustment
3.3 Brake Positive Pressure
4 Experimental Analysis
4.1 Experimental System Construction
4.2 Analysis and Discussion of Experimental Results
5 Conclusion
References
Application Development of Ground Special Vehicle Prognostic and Health Management
1 Introduction
2 The Proposed CBR Model
2.1 Basic Structure
2.2 Basic Steps of the Algorithm
3 Framework of GSV PHM
3.1 Data Class Representation
3.2 Function Module
4 Conclusion
References
Simulation Research on Control Strategy of Polypropylene Reactor Based on PCS7 of Siemens
1 Introduction
2 Process Principle, Control Requirements and Characteristic Analysis
2.1 Process Principle
2.2 User Requirements
2.3 Variable Characteristics Analysis
3 Design of the Control Strategy for Each Variable of the Reactor
3.1 Single Loop Control of Reactor Liquid Level
3.2 Comprehensive Control of Reactor Temperature
3.3 Concentration Ratio-Proportional Control
3.4 The Core Control Algorithm of the Control Loop
3.5 Countermeasures for False Display of Meter Interference
4 The Realization of Control Strategy on PCS7 and the Analysis of Control Effect
4.1 The Network Structure of the Reactor Control System
4.2 Realization Platform of Reactor Control System
4.3 Control Effect Analysis
5 Conclusion
References
Design and Implementation of Comprehensive Control Scheme for Heating Furnace Based on PCS7
1 Introduction
2 The Process Flow of the Heating Furnace and the User’s Requirements
3 Control Scheme and Control Algorithm
3.1 The Control Loops of Temperature and Oxygen Content of Flue Gas
3.2 The Structure of Fuzzy Adaptive Tuning PID Control Algorithm
4 Realization of the Heating Furnace Control Scheme on the PCS7 Platform
4.1 Network Structure and Hardware Composition of Heating Furnace System
4.2 Design of Fuzzy Adaptive Tuning PID Control Algorithm with Original Opening
4.3 Control Loop CFC Program for Each Controlled Variable
5 Experimental Results Analysis
6 Conclusion
References
Vibration Stress Analysis of IGBT Module Based on ANSYS
1 Introduction
2 Vibration Stress Mechanism and Life Model of IGBT Module
3 Establishment of IGBT Module Geometric Model
4 Simulation Analysis Based on Vibration Failure Mechanism
5 Summary
References
Thermal Stress Analysis of IGBT Module Based on ANSYS
1 Introduction
2 Generation Mechanism of Thermal Stress in IGBT Module
3 Establishment of IGBT Module Geometric Model
4 IGBT Module Temperature Field Simulation and Analysis
4.1 Boundary Conditions and Loads of Simulation
4.2 Solution and Analysis of Temperature Field
5 Simulation and Analysis of Stress Field of IGBT Module
5.1 Boundary Condition and Load of Simulation
5.2 Solution and Analysis of Structural Field
6 Summary
References
Chaos-Control of Two Coupled Lasers Using Optoelectronic Delayed Time Feedback
1 Introduction
2 Dynamics Model
3 Results
3.1 Chaos-Control of Lasers Using an Optoelectronic Delayed Time Positive Feedback Method
3.2 Chaos-Control of Lasers Using an Optoelectronic Delayed Time Negative Feedback Method
4 Conclusion
References
RIShield: An Ontology Security Framework and Key Technologies for Power Industrial Control System
1 Introduction
2 Key Requirements for Safety Protection of Industrial Control Ontology
3 RIShield Ontology Security Framework and Key Technologies
3.1 Reliable Hardware
3.2 System Immunity
3.3 Unified Framework
3.4 Controllable Software
4 Experiment
5 Conclusion
References
Analysis on Electromagnetic Environment of Communication Room in Urban Rail Transit
1 Introduction
2 Field Survey
2.1 Sweep Frequency Measuring Equipment
2.2 Comprehensive Field Strength Measuring Equipment
2.3 Site Layout of Electromagnetic Environment Field Survey
3 Analysis of Electromagnetic Environment Measurement Data of Typical Station
3.1 Data Analysis of Frequency Sweep Measurement
3.2 Data Analysis of Comprehensive Field Strength Measurement
4 Comparison of Electromagnetic Environment Measurement Data of Different Stations
5 Conclusion
References
Design and Implementation of Electromagnetic Environment Monitoring System for Urban Railway Station Equipment Room
1 Introduction
2 Function Design
3 Hardware Design
4 Software Design
4.1 Instrument and Sensor Control Modules
4.2 Data Processing Module
4.3 Data Statistics and Early Warning
5 Experimental Result
6 Conclusion
References
Dynamic Event-Triggered Control of Networked Control Systems Under Sensor and Actuator Faults
1 Introduction
2 Problem Formulation
3 Control Protocols to Address Sensor and Actuator Faults
3.1 Control Design for Sensor Fault Compensation
3.2 Control Design for Sensor and Actuator Fault Compensation
4 Design of Controller Based on Dynamic Trigger
4.1 Event Triggering Mechanisms
4.2 Dynamic Event-Triggered Control
5 Simulation Studies
6 Conclusion
References
A Dynamic Detection of Missing Tags for Multi-category RFID Systems
1 Introduction
2 System Model
3 The MMTD Protocol
3.1 Initialization
3.2 Assignment of Slots
3.3 Detection Strategy of MMTD
4 Analysis of MMTD Protocol
5 Performance Comparison
6 Conclusion
References
An Intelligent Compensation Method of Dynamic Coupling Error for Hydrostatic Guideway
1 Introduction
2 The Structure and Loading Principle of the Dynamic Coupling Error Compensation System
3 Mechanical Analysis for Dynamic Error Compensation System
3.1 Static Equilibrium Analysis
3.2 Dynamic Equilibrium Analysis
4 Control Principle of the Intelligent Dynamic Coupling Error Compensation System
4.1 Control Target
4.2 Intelligent Control Principle
5 Conclusion
References
Research on Fault Diagnosis Method of Rod Pumping Wells Based on CNNAPRCSOSVM
1 Introduction
2 CNNAPRCSOSVM Model Fault Diagnosis Method
2.1 CNNAPRCSOSVM Model Architecture
2.2 CNNAPRCSOSVM Model Fault Diagnosis Process
3 APRCSO Algorithm
3.1 Introduction to Basic CSO Algorithm
3.2 Algorithm Improvement
3.3 APRCSO Algorithm Description
4 Experimental Verification
4.1 APRCSO Algorithm Verification
4.2 CNNAPRCSOSVM Model Fault Diagnosis Method Performance
5 Conclusions and Future Work
References
Research on Optimal Operation of Micro-turbine Combined Heat and Power System
1 Introduction
2 The Economic Mathematical Model of Micro-turbine Power Generation
2.1 The Mathematical Model of Micro-turbine
2.2 Economic Analysis of Micro Turbine
3 Heat Load Economic Model
4 Simulation and Results
4.1 Case 1
4.2 Case 2
4.3 Case 3
4.4 Case 4
5 Conclusion
References
Pattern Recognition and Neural Network
Research on Military Text Machine Translation Based on Deep Neural Network
1 Introduction
2 Strategies for Machine Translation of Military Texts
2.1 Knowledge Driven Domain Optimization Method
2.2 Multi-strategy Machine Translation Engine Fusion Method
2.3 Engine Optimization Method Based on Incremental Learning
3 Related Technologies
3.1 Corpus Alignment Technology
3.2 Terminology Intervention Techniques
3.3 Incremental Training Technique
4 Design of Military Text Machine Translation System
4.1 The Overall Framework
4.2 System Workflow
5 Conclusion
References
Bearing Fault Diagnosis Based on Hermitian Wavelet and One-Dimensional Convolutional Neural Network
1 Introduction
2 HW-1D CNN Fault Diagnosis Method
2.1 Hermitian Wavelet Transform
2.2 Kurtosis
2.3 HW-1D CNN Fault Diagnosis Model and Process
3 Fault Diagnosis of Motor Bearings Based on HW-1D CNN
3.1 Experimental Data
3.2 Experimental Results and Analysis
4 Conclusion
References
BSageIMC: Drug Repositioning Based on Bipartite Graph Convolutional Networks and Transcriptomics Data
1 Introduction
2 Material
3 Method
3.1 Bipartite Convolutional Layer
3.2 Model Overview
3.3 Feature Learning Module
3.4 Inductive Matrix Completion
4 Results
4.1 Metrics
4.2 Comparison with Existing Methods
4.3 Case Study
5 Conclusion
References
Research on Electric Gate Valve On-Line Fault Diagnosis Method Based on Fuzzy Pattern Recognition
1 Introduction
2 Electric Gate Valve Monitoring Parameter
2.1 Valve Status Monitoring Realization
2.2 Current Curve Analysis
3 Fault Diagnosis Method
3.1 Fault Features
3.2 Fuzzy Pattern Recognition
3.3 Electric Gate Valve Fault Fuzzy Pattern Recognition
4 Summary
References
Chinese Named Entity Recognition in Medicine
1 Introduction
2 Related Work
2.1 Deep Learning for Named Entity Recognition
2.2 Self-attention
2.3 Multitask Learning
3 Named Entity Recognition Model
3.1 Data Representation
3.2 Bidirectional LSTM Model
3.3 Model Improvements
4 Experiments and Results
4.1 Dataset
4.2 Implementation Details
4.3 Results
5 Conclusion
References
Research on Recommendation Algorithm Based on Dynamic Collaborative Filtering and Convolutional Neural Network
1 Introduction
2 Paper Preparation
2.1 Dynamic Collaborative Filtering Algorithm
2.2 Tensorflow Learning Framework and Textual Convolutional Neural Networks
3 Recommendation Algorithms Based on Collaborative Filtering and Convolutional Neural Networks
3.1 Problems in the Recommendation System
3.2 Recommendation Algorithms Based on Dynamic Collaborative Filtering and Convolutional Neural Networks
4 Experiments and Analysis of Results
4.1 Experimental Environment and Data Set
4.2 Evaluation Criteria
4.3 Experimental Results and Analysis
5 Conclusion and Outlook
References
EEG-Based Emotion Recognition via Joint Domain Adaptation and Semi-supervised RVFL Network
1 Introduction
2 Related Work
3 The Proposed JDASRN Model
3.1 Model Formulation
3.2 Optimization
4 Experiments
4.1 Data Sets and Experimental Setup
4.2 Experimental Results and Analysis
5 Conclusion
References
A Rumor Detection Method Based on Graph Convolutional Network
1 Introduction
2 Algorithm Model
2.1 Basic Concept
2.2 Rumor Detection Model
3 Experiments and Analysis
3.1 Datasets
3.2 Experimental Setting
3.3 Result and Analysis
4 Conclusion
References
Analysis of the Influence of Illumination Change on Face Recognition
1 Introduction
2 Application of Face Recognition Technology
3 Illumination Problem in Face Recognition
3.1 Partial Normalization
3.2 Frequency-Domain Illumination
4 Analysis of Experimental Results
5 Summary
References
Automatic Recognition of Sucker-Rod Pumping System Working Conditions Using Few-Shot Indicator Diagram Based on Meta-learning
1 Introduction
2 Problem Statement
2.1 Fault Diagnosis Problem
2.2 Few-Shot Learning
3 Methodology
3.1 Convolutional Neural Networks
3.2 Meta-learning
4 Experimental Evaluation
4.1 Experimental Data Collection and Few-Shot Setting
4.2 Experimental Comparison with MAML, SVM and CNN
5 Conclusions and Future Work
References
Example-Based Hybrid Higher-Order Neural Network Cognition Applied for Archive Translation
1 Introduction
2 Example-Based Hybrid Higher-Order Neural Network Cognition
2.1 The Translation Structure of Examples
2.2 The Basic Principles
2.3 Construction of the Hybrid Higher-Order Neural Network System (HHONNS)
3 The Experiment and Analysis of the Experiment Results
4 Conclusion
References
Modeling and Systems Engineering
The Voltage Fluctuation Strategy of MMC Submodule Injected with Common Mode Voltage and Circulation
1 Introduction
2 Operation Principle of MMC
3 Analysis of the Influence of Injected Common Mode Voltage on the Bridge Arm Power
4 Circulating Current Control After Injection of Common Mode Voltage
4.1 Derivation of Circulation Reference Value
4.2 System Control Strategy
5 Experiment Analysis
6 Conclusion
References
A Method to Efficiently Implement Revolute Joints in Large Scale Finite Element Analysis Using Solid Elements
1 Introduction
2 Method to Efficiently Implement Revolute Joint Connections Using Solid Elements
3 Example Analyses
4 Conclusion
References
Planning Management Exploration in the Development of Large-Scale Satellite Constellation Systems
1 Introduction
2 Characteristics of Large-Scale Satellite Constellation Planning Management
2.1 Difficulties in Planning Management Caused by Complexity of the System
2.2 Planning Management Risks Brought by Multi-domain, Multi-level and Extensive Collaboration
2.3 Planning Management Difficulties Brought by New Technologies
2.4 Planning Management Risks Due to Inadequate Quality Assurance
2.5 Planning Management Risks Caused by Long Periods and Uncertainties
3 Principles and Requirements for Planning Management
3.1 Principles of Planning Management
3.2 Planning Management Requirements
4 Planning Management of All Phases
4.1 Phase Division
4.2 Planning Management of All Phases
5 Conclusions
References
Intelligent Underwater Defense Scheme Generation Based on Multi-layer Attention Networks
1 Introduction
2 Background
3 Analysis and Modeling
3.1 Case Definition: An Underwater Defense Situation
3.2 An Encoder-Decoder Model for Time Sequence Data
3.3 Self-attention
4 Experiment
References
An Improved Mason’s Gain Formula for Discrete Systems
1 Introduction
2 The Improved Gain Formula
2.1 The Mason’s Gain Formula for Continuous Systems [1]
2.2 The Improved Gain Formula for Discrete Systems
2.3 How Does the Improved Gain Formula Work in the Cases Where the Mason’s Rule Works?
2.4 How Does the Improved Gain Formula Work in the Cases Where the Mason’s Rule Does not Work?
3 Discussion
4 Conclusion
References
A Stacking Method of Accurate Classification for Blazars
1 Introduction
2 Data Preparation and Algorithms
2.1 Data Handle
2.2 Base Classifiers Algorithm
2.3 Index of Algorithm Evaluation
2.4 Stacking Ensemble Algorithm
3 Results and Analysis
4 Conclusion
References
Modeling of Color-Magnitude Diagrams of Various Stellar Populations
1 Introduction
2 Modeling Method of CMDs
2.1 ASPS Model
2.2 Powerful CMD Code
3 Stellar Population Types of Simulating CMD
4 Modeling Results and Analysis
5 Summary and Discussion
References
Magnetic Levitation Force Model of Outer Rotor Single Winding Bearingless Brushless DC Motor
1 Introduction
2 BL-BLDC Motor Structure and Working Principle
3 Mathematical Model
4 Analysis of the Experiment Result
5 Conclusion
References
Mathematical Model of Suspension Force of Single-Winding Bearingless Permanent Magnet Motor with Midpoint Injection
1 Introduction
2 The Principle of Generating Suspension Force
3 Accurate Mathematical Model of Radial Suspension Force of Point Injection Bilateral Current
4 Finite Element Analysis
4.1 Finite Element Analysis of Controllable Suspension Force
4.2 Finite Element Analysis of Uncontrollable Suspension Force
5 Conclusion
References
Application of the In-Situ Filtration System in Suspended Particulate Matter Study
1 Introduction
2 Application in the Study
3 Analysis
4 Conclusion
References
Research on the Evolution of Network Public Opinion of Safety Production Emergencies of Small and Medium-Sized Enterprises in High-Risk Industries Based on SIR Model
1 Introduction
2 Related Theoretical Basis
2.1 Related Theories of Safe Production in High-Risk Industries
2.2 Relevant Theories of Network Public Opinion
2.3 The General Stage of the Evolution of Online Public Opinion on Emergencies
3 Identification of Associated Subject of Network Public Opinion in Xiangshui Explosion Event in Jiangsu Province
3.1 Data Collection and Collation
3.2 Data Analysis
3.3 Identification and Analysis of the Subject of Association
4 Construction and Simulation Analysis of Emergent Online Public Opinion Evolution Modeling Based on SIR Model
4.1 Construction of Online Public Opinion Evolution Model Based on SIR Emergency
4.2 Simulation and Result Analysis
5 Countermeasures and Suggestions to Cope with the Evolution of Network Public Opinion of Production Safety Emergencies
References
Quality Assessment and Characteristic Analysis of Cultivated Land in Yongchang County
1 Introduction
2 Research Area General Situation, Data Collection and Arrangement
2.1 Overview of the Study Area
2.2 Data Collection and Sorting
3 Evaluation Method
3.1 The Principle of Arable Land Quality Evaluation
3.2 The Evaluation Principle
3.3 Evaluation Unit Division
4 Classification of Cultivated Land Quality Evaluation in Yongchang County
4.1 The Determination of Evaluation Index and Its Weight
4.2 Evaluation Index Membership Function Construction
4.3 Comprehensive Grading and Grading of Cultivated Land Quality
4.4 Grading Standard for Main Characters of Cultivated Land Quality
5 Evaluation Results and Analysis
5.1 Analysis on Grade of Cultivated Land Quality Evaluation in Yongchang County
5.2 Distribution Characteristics of Cultivated Soil Nutrients in Yongchang County
6 Conclusion
References
Mean Field Theory and Stochastic Evolution in Four Species Cyclic Games with One Diagonal
1 Introduction
2 Model
3 Mean Field Theory
3.1 The Equilibrium Points E1, E2, E3, E4 Are Unstable
3.2 The Equilibrium Points E5 is Global Asymptotic Stability When p2 p4 - p1 p3 >0
3.3 The Equilibrium Points E6 is Global Asymptotic Stability When p2 p4 - p1 p3 <0
3.4 The Equilibrium Points E7 is Stable but not Global Asymptotic When p2 p4 - p1 p3 = 0
4 Numerical Solutions
5 Extinction Events
6 Stochastic Simulations Results
7 Conclusion
References
A Non-redundant BIM Sub-model Extraction Method for IFC Files
1 Introduction
2 Related Work
2.1 Pattern-Based Extraction Methods
2.2 Instance-Based Extraction Methods
3 Structure of IFC File
3.1 Physical Entity and Relational Entity
3.2 Redundant Instances
3.3 Representation of IFC File Structure Based on the Directed Acyclic Graph
4 Non-redundant Sub-model Extraction Method
4.1 Preprocess the IFC File
4.2 Extract Physical Instances
4.3 Extract Relational Instances
4.4 Remove Redundant Instances from Extracted BIM Sub-model
5 Experimental Results and Analysis
5.1 Experimental Statement
6 Evaluation Metrics
7 Instance Decrease Rate (IDR)
7.1 Experimental Results
7.2 Comparison with the BSE-ID Method
7.3 Comparison with the BSE-IC Method
8 Conclusion
References
Density and Character of Hyperspace 2X with the Locally Finite Topology
1 Introduction
2 Results
References
Binary Selection Preference Decision-Making Model Based on Preference Distance
1 Introduction
2 Research Method
2.1 Similarity Measure
2.2 MPCK-Means Algorithm
2.3 Binary Selection Comparison Algorithm
3 Results and Discussion
3.1 Initial Learning Stage
3.2 Reinforcement Learning Stage
3.3 Comparison of Interaction Costs
4 Conclusion
References
Design and Implementation of Cancer Structural Variants Hotspot Detection and Annotation Software
1 Introduction
2 Method
2.1 Input
2.2 Algorithms of Classification of Structural Variants
2.3 Algorithms of Hotspot Detection
2.4 Annotation Algorithm
2.5 Statistical Method
3 Results
3.1 A Comprehensive, Integrative Software for Classes of SVs
3.2 The Implementation of SVHots Software: Classification and Hotspot Indentification
3.3 The Implementation of SVHots Software: Annotation, Statistical Analysis and Visualization
4 Conclusion
References
Multi-sensor Fusion Technology and Machine Learning Methods for Milling Tool Wear Prediction
1 Introduction
2 Wear Experiment and Dataset Description
3 Proposed Methodology
4 Data Analysis and Experimental Results
5 Conclusions
References
Machine Learning and Blockchain Technology
Research on Diabetes Risk Prediction Model at Early Stage Based on Machine Learning
1 Introduction
2 Dataset and Methods
2.1 Dataset Details
2.2 ML Classifier Comparison
2.3 Statistics
3 Results
4 Discussion
5 Conclusion
References
Blockchain Consensus Mechanism Design for Food Safety Traceability
1 Introduction
2 Business Scenario Analysis
3 Consensus Mechanism Design
4 Design of the Food Safety Traceability System
4.1 Overall Framework
4.2 Blockchain Business Process
4.3 Blockchain Data Model
4.4 Blockchain External Interface
5 Conclusion
References
Blockchain-Based DBRMS in Smart Grid
1 Introduction
2 Smart Grid
3 System Architecture
3.1 Block Structure for Power Generation and Distribution
4 Implementation
5 System Evaluation
6 Conclusion
References
Relation Extraction Method Based on Two-Way Attentions of Syntactic Knowledge
1 Introduction
2 Related Work
3 The Model
3.1 Encoding
3.2 Two-Way Attention
3.3 Model Training
4 Experiments
4.1 Experimental Data and Evaluation Methods
4.2 Model Training
4.3 Analysis and Comparison of Results
5 Conclusion
References
Research on Application of Machine Learning Algorithms in Train Ticket Sales Management
1 Introduction
2 Method
2.1 Background Information
2.2 Data and Variables
2.3 Forecasting Models
3 Results
3.1 Resampling Methods Performance
3.2 Machine Learning Methods Performance
4 Conclusion
References
Research on the Robotic Aiming System with Image Recognition and Deep Learning
1 Introduction
2 Related Work
3 Data Collection
4 Methodology
4.1 Base Approach
4.2 Transfer Learning Approach
4.3 Network Evaluation Approaches
5 Evaluation
6 Conclusion
References
Fake Price Detection of Taobao Goods Based on Machine Learning
1 Introduction
2 Data Acquisition
3 Data Preprocessing
4 Model Algorithm
5 Model to Evaluate
6 Experimental Results
7 Conclusion
References
Image Processing and Computer Vision
Research on Image Processing of Graduated Cylinder Automatic Calibration Device Based on Machine Vision Technology
1 Introduction
2 Structure of Automatic Calibration Device
3 Image Segmentation Based on Blob Analysis
4 Feature Extraction
5 Conclusion
References
The Role of Training in Visual Number Sense
1 Introduction
2 Methods
2.1 Neural Network Model
2.2 Model Train
2.3 Stimulus Datasets
3 Results
3.1 Analysis of Neural Network Response After Training
3.2 The Role of Training
4 Conclusion
References
The Role of Lateral Inhibition on Visual Number Sense
1 Introduction
2 Methods
2.1 Neural Network Model
2.2 Stimulus Datasets
3 Results
3.1 Untrained Neural Network Response Analysis
3.2 The Effect of Lateral Suppression
4 Conclusion
References
Facial Expression Recognition Based on Improved VGGNet and Island Loss
1 Introduction
2 Methodology
2.1 Transfer Learning
2.2 Improved VGGNet Model
3 Sample Imbalance and Improvement of Island Loss
4 Experimens
4.1 Facial Expression Data Set
4.2 Results
5 Conclusion
References
An Image Quality Improvement Method Through Generative Adversarial Networks in Cloud Edge Integration
1 Introduction
2 Proposed Method
3 Experiments
4 Conclusion
References
An Electronic Image Stabilization Algorithm Based on Improved FAST Feature Point Matching
1 Introduction
1.1 The Architecture of the Public Network Digital Trunking Dispatch System
2 Feature Point Detection and Matching Algorithm
2.1 Improved FAST Feature Point Detection Algorithm
2.2 SAD Feature Point Matching Algorithm
2.3 Improved RANSAC Mismatch Elimination Algorithm
3 Experimental Verification
4 Conclusion
References
6-DoF Pose Estimation of Texture-Less Objects Based on DenseFusion
1 Introduction
2 DenseFusion Framework
2.1 Methodology of DenseFusion for Texture-Less Objects
2.2 Key Techniques of DenseFusion for Texture-Less Objects
3 Dataset
4 Experiment and Result Analysis
4.1 Metric on Pose Estimation
4.2 Result and Analysis
5 Conclusion
References
Segmentation Method of Food Packaging Inkjet Characters Based on Computer Vision
1 Introduction
2 Image Preprocessing
3 Character Segmentation
3.1 Projection Segmentation Method
3.2 Improved Projection Segmentation Method
4 Summary and Prospect
References
An Efficient Anti-ghost Multiple Exposure Fusion with Detail Preserving
1 Introduction
2 AEW
3 REW
4 Moving Object Correction
5 Experimental Results
6 Conclusion
References
A Weighted-Fused Localization Method Based on Zupt and Global Features of Images
1 Introduction
2 Proposed Algorithm
2.1 Differential Zero Velocity Update for Inertial Navigation System
2.2 Global Features of Images for Visual Navigation System
2.3 Data Fusion via PCA
3 Performance Evaluation
3.1 Validity Verification of Global Feature
3.2 Experimental Results of INS with D-ZUPT
3.3 Experimental Results of Weighted-Fused Algorithm Based on PCA
4 Conclusions
References
Fusion of Inertial and Visual Sensor Data for Accurate Localization
1 Introduction
2 Framework of IVIF-KF
2.1 Inertial Navigation System
2.2 Visual Navigation System
2.3 Data Fusion
3 Proposed Algorithm
4 Performance Evaluation
5 Conclusion
References
Design of Turtle Bionic Submersible
1 Introduction
2 Structure Design of Submersible
3 Motion Design of Submersible
4 Submersible Transmission Design
5 Sealing Design of Submersible
6 Conclusion
References
Improving Person Re-identification by Rich Feature Discovery with Self-guided Network
1 Introduction
2 Method
2.1 Multiple-Branch Structure
2.2 Mutex Activation Overlap Module
3 Experiment
3.1 Dataset Introduction and Evaluation Protocol
3.2 Implementation Details
4 Results and Discussion
4.1 Ablation Study
4.2 Comparison with Existing Methods
4.3 Discussion
5 Conclusion
References
Image Enhancement Effects on the Forensic Facial Recognition System
1 Introduction
2 Materials and Methods
2.1 Experimental Materials
2.2 The Four Tested Single Image Enhancement Techniques
2.3 Experimental Methods
3 Experimental Results
3.1 The Effects of the Four Image Enhancement Methods on the Recognition Performance of the FRS
3.2 The Effects of the Face Image Quality on the Recognition Performance of the FRS
4 Conclusions
References
Cross-Media and Multilingual Image Understanding Method Based on Attention Mechanism
1 Introduction
2 Cross-Media Data Expression and Distance Measurement
3 The Framework of Cross-Media and Multilingual Image Understanding
4 Semantic Understanding of Heterogeneous Big Cross-Media Data
5 Experimental Results
6 Conclusion
References
Research on the Influence of Uploaders’ Behavior on the Effect of Bullet Screen Video Dissemination
1 Background
2 Research Models and Hypotheses
2.1 The Model of the Influence of Upload Behavior on the Effect of BSV Dissemination
2.2 Hypothesis
3 Data Processing and Analysis
3.1 Data Filtering
3.2 Data Analysis
4 Conclusion
References
An Improved Network for Small Object Detection Based on YOLOv4-Tiny-3L
1 Introduction
2 Basic Network Structure
2.1 YOLOv4-Tiny-3L
2.2 Spatial Pyramid Pooling (SPP)
3 Improved Network Structure
4 Experiment
5 Conclusion
References
Image Enhancement Based on the Fusion of Visible and Near-Infrared Images
1 Introduction
2 Related Knowledge
2.1 Bilateral Filter
2.2 Gradient-Map
3 Proposed Image Enhancement Algorithm
3.1 Two-Scale Decomposition
3.2 Detail Layer Weighted Fusion Based on Gradient Map
3.3 Base Layer Weighted Fusion Based on Non-saliency
3.4 Image Reconstruction
4 Experimental Results and Analysis
4.1 Subjective Evaluation
4.2 Objective Evaluation
5 Conclusion
References
Fabric Classification Method Based on Computer Vision
1 Introduction
2 Overview of Machine Learning Algorithms
2.1 Traditional Machine Learning
2.2 Deep Convolution Neural Network
3 Fabric Classification
3.1 Application of Traditional Machine Learning in Fabric Classification
3.2 Application of Deep Convolution Neural Network in Material Classification
4 Conclusion
References
Design of Intelligent Image Monitoring System Based on Cell Lysis
1 Introduction
2 Design of Intelligent Image Monitoring System
2.1 Design of CCD Image Acquisition Circuit
3 Functional Test of Image Acquisition System
4 Conclusion
References
Deblocking Filter in Video Denoising
1 Introduction
2 Blocking Artifacts Detection
2.1 Motion Threshold Estimation
2.2 Boundary Determination
3 Deblocking Filter
3.1 Local Luminance Detection
3.2 Visual Transformation Function
3.3 Deblocking Filter
4 Experiment Results and Discussion
5 Conclusion
References
A Traffic Sign Recognition Method Based on Improved YOLOv3
1 Introduction
2 YOLOv3
2.1 General
2.2 ResNet
3 Improvement About Network
3.1 DenseNet [7]
3.2 Reduce Network Complexity
4 Experimental Result and Analysis
4.1 Platform Information
4.2 Experiment Dataset
4.3 Experiment Procedure
4.4 Experimental Results and Performance Comparison
5 Conclusion
References
Method of Tomato Leaf Disease Recognition Based on Image and Spectrum
1 Introduction
2 Materials and Methods
2.1 Experimental Data
2.2 Imaging System
2.3 Convolutional Neural Network
3 Experimental Results and Analysis
3.1 Spectral Standardization
3.2 Analysis of Spectral Characteristics of Disease Spots
3.3 Feature Band Extraction
3.4 Image and Spectrum Fusion Based on CNN
4 Discussion and Conclusion
References
Accelerating Microstructure Recognition of Nickel-Based Superalloy Data by UNet++ 
1 Introduction
2 Models and Methods
2.1 U-Net Model
2.2 UNet++ Model
2.3 Workflow of Image Segmentation
3 Experiments and Results
3.1 Experiment Setting
3.2 Results
4 Conclusion
References
Over-Complete Sparse Coding for Action Similarity Recognition
1 Introduction
2 Framework of Evaluation
2.1 Gaussian Mixture Model
2.2 Dictionary Learning and Sparse Coding
2.3 Probability Weighted Pooling
3 Experiment Results
3.1 Parameter Adaptation
3.2 Performance Comparison of Different Feature Descriptors
3.3 Performance Comparison
3.4 Result Analysis and Discussion
4 Conclusion
References
Remote Sensing Scene Classification by Multi-granularity Fused CNN
1 Introduction
2 The Proposed MGF-CNN Architecture
2.1 Multi-granularity
2.2 Gaussian Procession
2.3 Fused Features
2.4 Classification Layer
3 Experiments and Analysis
3.1 Experimental Datasets
3.2 Implementation Parameters
3.3 Experimental Results and Analysis
4 Conclusion
References
Parallel and Sharing Attention Mechanism for Cross-Media Annotation and Retrieval
1 Introduction
2 Graph Neural Networks
3 Semantic Learning Image Retrieval
4 Cross-Media Semantic Attention Structure
5 Experimental Results
6 Conclusion
References
An Improved RANSAC in Simultaneous Localization and Mapping
1 Introduction
2 LO*-RANSAC Algorithm
3 Experimental Results
4 Comparison of Accuracy
5 Comparison of Computational Complexity
6 Conclusion
References
Unmanned Aerial Vehicle
An Automatic Stable Service Support USV
1 Introduction
2 Research and Design
2.1 Control System Design
2.2 Structure Design of the USV
2.3 Propeller Carrier Design
2.4 Analysis and Determination of Relative Gravity of Each Part of USV
2.5 Calculation of Center of Gravity and Floating Center of USV
2.6 Motion Calculation of USV on Surface Patrol
2.7 Design of Propulsion Device for USV
2.8 Design of Stabilizing Device
2.9 Design of Throwing Device for Lifesaving Equipment
3 Function Realization
3.1 Image Transmission
3.2 Path Planning and Intelligent Navigation
3.3 Automatic Stable
3.4 Rescue of Drowning Personnel
3.5 Cleaning of Floating Objects on the Water Surface
4 Conclusion
References
Cooperative Localization System of Unmanned Aerial Vehicles by UWB System and GNSS Sensors
1 Introduction
2 Related Works
3 Method
3.1 System Overview
3.2 Positioning Principle
3.3 Dynamic Anchor
4 Experimentation and Results
4.1 Actual Flight Test
4.2 Positioning Accuracy Test
4.3 Conclusion and Future Work
References
Design of a Sensorless BLDCM Feedforward Control System for UAV
1 Introduction
2 System Scheme Design and Principle
3 System Protection and Reliability Design
3.1 System Protection Design
3.2 Double Board Structure and Temperature Monitoring
4 High Power Size Ratio Design
4.1 Drive Circuit Design
4.2 Large Current-Carrying PCB Design
5 Closed Loop System with Speed Feedforward Control
5.1 Feedforward Control Principle
5.2 Control System Design
6 System Experiment Test
6.1 Ground Test
6.2 Flight Test
References
A Fast Position Estimation Method of Near-Surface Targets Detection for Unmanned Aerial Vehicle Magnetic Surveys
1 Introduction
2 Principle and Methodology
2.1 The Magnetic Field Expression of the Sphere
2.2 Analysis of Target Magnetic Anomaly Profiles
3 Materials and Field Experiments
3.1 UAV-Magnetometer System
3.2 Field Experiments
4 Discussion and Conclusion
References
Vision-Based Landing Site Detection for Unmanned Aerial Vehicle: A Review
1 Introduction
2 An Overview of Landing Area Detection Problem
3 Landing Area Detection Tactics Based on Classic Image Processing
3.1 Tactics with Markers
3.2 Tactics Without Markers
4 Landing Area Detection Tactics Based on Deep Learning
4.1 Supervised Methods
4.2 Self-supervised Methods
4.3 Semi-supervised Methods
4.4 Methods of Multiple Supervision
5 Discussion
References
Communication, Networking and Security
Research on Application of Real-Time Stream Computing in Power System
1 Architecture of Streaming Computing
2 Flow Computing Component
3 Computing Engine
4 Data Cleaning
5 Conclusion
References
Dynamic and Resource-Aware Scheduling Scheme for Docker Cluster
1 Introduction
2 Related Work
2.1 Scout and DataDog
2.2 Docker Swarm Cluster and Scheduling Strategy
3 Design and Methodology
3.1 Computational Optimization of Container Scheduling Algorithm
3.2 Docker Cluster Resource Monitoring and Scheduling Framework
4 Evaluation
4.1 Experimental Setup
4.2 Performance Against White-Box Attacks
5 Conclusion
References
v-Twin SVR Based OFDM System Wireless Channel Estimation
1 Introduction
2 System Model
3 OFDM System Channel Estimation Algorithm
3.1 Carrier Pilot Channel Estimation
3.2 v-Twin Support Vector Regression
4 Simulation Results
5 Conclusion
References
Hardware Trojan Detection Based on Image Comparison
1 Introduction
2 Related Work
3 Proposed Algorithm
3.1 Template Matching
3.2 R-SIFT
3.3 Change Detection
4 Experiments
4.1 Dataset and Evaluation Metrics
4.2 Experimental Results
5 Conclusion
References
A Comprehensive Model for Developing an Information Systems for the Treatment of Dementia Patients
1 Introduction
2 Materials and Methods
2.1 Strategic Stage of Application of Biomedical Information System
2.2 Materials
2.3 Methods
3 Results
3.1 Comparison Between Before and After the Application of Biomedical System for the Treatment of Dementia
3.2 Usefulness of Biomedical Systems for Dementia Treatment
4 Discussion and Conclusion
References
Cognition-Based Multi-system Radio Fuze Interference Decision
1 Introduction
2 Interference Decision Based on Wolf Pack Algorithm
2.1 Wolf Pack Algorithm
2.2 Profit and Loss Model
2.3 Online Real-Time Evaluation
2.4 Interference Decision Process Based on the Wolf Pack Algorithm
3 Experimental Simulation
3.1 Simulation of Fuze Signal Monitoring Process Based on Cross-Correlation Function
3.2 Strategy Allocation Simulation
3.3 Simulation of Jamming Success Rate
4 Conclusion
References
Reliability Research of a Class of Networks
1 Introduction
2 The Domination Number of the Middle Graph of the Fan Graph
2.1 The Domination Number of the Middle Graph of the Fan Graph
3 The Bondage Number of the Middle Graph of the Fan Graph
3.1 The Bondage Number of the Middle Graph of the Fan Graph
4 Conclusion
References
Appropriate Intelligence Information System for Preventing Complications After Gallbladder Resection
1 Introduction
2 Material and Methods
2.1 Efficiency of Information System Construction and Operation
2.2 Materials and Methods
3 Results
3.1 Changes in Clinical Conditions After Information System Implementation
3.2 Digestive Function After Implementing Information System
3.3 Practice for Health Activities After Implementing Information System
4 Discussion and Conclusion
References
Research on Construction of Network Teaching System for Adult College
1 Introduction
2 System Requirement Analysis
2.1 Function Requirements
2.2 Basic Business Module
3 Design of System Architecture
3.1 The Architecture Designs
3.2 System Object Model
4 System Implementation
5 Discussion and Conclusion
5.1 The Guidance of Self-learning Process
5.2 The Guidance of Extra-curricular Learning
5.3 The Face-To-Face Instruction and Individual Guidance
5.4 Conclusion
References
Research on the Information Safety of CAN Bus for Vehicle
1 Introduction
2 The Mechanism of CAN Bus and Working Characteristics
3 The Type of Information Invading of CAN Bus
4 How to Eliminate the Challenge of CAN Bus
5 Conclusions
References
Novel Design of Wide Beam Millimeter-Wave Radar Antenna with Simple Test System
1 Introduction
2 Bowtie Antenna Design
3 Bowtie Antenna Pattern Test
3.1 Test System Composition
3.2 Doppler Radar Integrated Pattern Test
3.3 Bowtie Antenna Pattern Data Analysis
4 Conclusion
References
Outage Analysis of Cognitive Integrated Satellite Terrestrial Relay Networks with Primary Interference and NOMA
1 Introduction
2 System Model
3 System Analysis
3.1 The SINRs of Considered System
3.2 OP of the System
4 Numerical Results
5 Conclusions
References
Efficient Revocable Attribute-Based Encryption from R-LWE in Cloud Storage
1 Introduction
2 Preliminaries
2.1 Lattice
2.2 Discrete Gaussians
2.3 The Extend Shamir Secret-Sharing Scheme [17]
2.4 Ring-LWE (R-LWE)
3 Construction of RABE-RLWE Scheme
3.1 System Model
3.2 Details of Our RABE-RLWE Scheme
4 Security Analysis
5 Performance Analysis
6 Conclusion
References
Robust Malware Detection System Against Adversarial Attacks
1 Introduction
2 Related Work
3 System Architecture
4 Methodology
4.1 Construction and Computational Optimization of High-Dimensional Sparse Feature
4.2 Adversarial Defense Framework DQNet
5 Evaluation
5.1 Performance Against White-Box Attacks
5.2 Comparison with Other Advanced Defense Methods
6 Conclusion
References
Research on Secured Communication of Intelligent Connected Vehicle Based on Digital Certificate
1 Introduction
1.1 Cybersecurity Challenges for Intelligent Connected Vehicle
1.2 Contribution
2 The Cryptography Basic for Secured Communication
2.1 Symmetric Cryptography
2.2 Public Key Cryptography
2.3 Challenge Response Authentication
2.4 Digital Signature and Digital Certificate
2.5 PKI
3 The Mechanism for Secured In-Vehicle Communication
3.1 Security Threats for In-Vehicle Communication
3.2 The Protection for the Confidentiality of the Message
3.3 The Mechanism for Authentication Based on Challenge-Response Mechanism
3.4 The Design of the Vehicular Digital Certificate
4 Verification
5 Conclusion
References
Vehicle Detection System with Statistical Functions Based on 3-Axis AMR Using Wireless Communication Technology
1 Introduction
2 Design of Detecting System
2.1 Hardware Design
2.2 Software Design
3 Vehicle Flow Detection Based on AMR Sensor and Algorithm Implementation
3.1 Vehicle Flow Detection
3.2 Algorithm Implementation
4 Experimental Results
4.1 Threshold and Vehicle Count
4.2 Different Positions of a Vehicle in the Lane
4.3 Vehicle Speed Detection
5 Conclusion
References
Zero-Watermarking Algorithm Based on Modified Singular Value and Chaos Scrambling
1 Introduction
2 Basic Theory
2.1 Chaotic System Scrambling of Images
2.2 Singular Value Decomposition
2.3 Sub-block Mapping and Zero Watermarking
3 Design of the Algorithm
3.1 Zero-Watermark Extraction Algorithm
3.2 Copyright Authentication
4 Experiments and Analysis
4.1 Image Description
4.2 Performance Analysis of Correction Factor
5 Conclusion
References
24 GHz Doppler Radar Antenna Beam Design and Experimental Verification
1 Introduction
2 Design of Microstrip Antenna Array
3 Microstrip Antenna Array Pattern Test
3.1 Experimental Verification System Composition
3.2 Doppler Radar Integrated Pattern Test
3.3 Data Analysis of Microstrip Antenna Array Pattern
4 Conclusion
References
A Novel Zero-Day Virus Propagation and Immune SIZO Model
1 Introduction
2 Zero-Day Virus Transmission and Immunization Model
3 Stability Analysis
4 Simulation Analysis
4.1 Stability Verification
4.2 Probability of Platform Migration d1,d2
5 Conclusion
References
Research on Online Monitoring of Cell Lysis Based on Channel Expansion Network
1 Introduction
2 Principles of Cell Lysis Monitoring
2.1 Traditional Computer Recognition Algorithm
2.2 Online Monitoring Algorithm for Cell Lysis Based on Deep Learning
3 Intelligent Monitoring Network for Cell Lysis
3.1 Expandable Depth Separable Block (EDSB)
3.2 Global Information Integration and Detail Recovery Module (GIDR)
4 Summary
References
A Capability Importance Analysis Method for Complex SoS Architectures
1 Introduction
2 Models for Complex SoS
2.1 Activity Model
2.2 Capability-Activity Relationship Model
2.3 Capability Dependence Model
3 Task-Oriented Calculation of Capability Importance
3.1 Develop the Graph Model Corresponding to the Activity Model
3.2 Calculate the Weight of Each Activity in the Task
3.3 Calculate the Extent to Which Capacity Supports the Activity
3.4 Calculate the Importance of Task-Oriented Capabilities
4 SoS-Oriented Capability Importance
5 Development-Oriented Capability Importance
6 Case Study
6.1 Calculate the Importance of Task-Oriented Capabilities
6.2 Calculate the Importance of SoS-Oriented Capabilities
6.3 Calculate the Importance of Development-Oriented Capabilities
7 Conclusion
References
Research on Fault Monitoring of Transmission Loop Network in Main Controlling System for Radio and Television Station Based on Asymmetric Polling Scheme
1 Introduction
2 Description of the Proposed Scheme
3 Analysis of the Proposed Scheme
3.1 Working Condition Assumption
3.2 Definition of System Variables
3.3 System Parameters
4 Theoretic and Simulated Results
5 Conclusion
References
Big Data and Data Processing
An LSTM Model for Large-Scale Industrial Electricity Demand Forecast Based on RFE Feature Selection
1 Introduction
2 Large Industrial Electricity Demand Forecasting Model
2.1 Recursive Feature Elimination Method
2.2 Long Short-Term Memory (LSTM) Networks
3 RFE Feature Selection
3.1 Electricity Consumption Without Seasonal Decomposition
3.2 Seasonal Decomposition of Electricity Consumption
4 Large Industrial Electricity Demand Model Prediction
4.1 Without Seasonal Decomposition Prediction
4.2 Forecast After Seasonal Decomposition of Target Variables
5 Conclusion
References
The Prediction of Anti-cancer Drug Response by Integrating Multi-omics Data
1 Introduction
2 Method
2.1 Material
2.2 Model Overview
2.3 Omics-Specific Subnetwork
2.4 Drug Structure Subnetwork
2.5 Prediction Network
3 Method
3.1 Evaluation Index
3.2 Comparison with Different Input Combinations
3.3 Comparison with Existing Methods
3.4 Application of Anti-cancer Drug Response Prediction Model
4 Conclusion and Prospect
References
Energy Expenditure Prediction Methods: Review and New Developments
1 Introduction
1.1 The Machine-Learning Method for EE
2 The Proposed Approach to Estimating EE
3 Conclusion and Future Work
References
A Fused Path Planning Method with Hybrid Map Based on Database
1 Introduction
2 Algorithm Description
2.1 Hybrid Map Modeling
2.2 Path Planning in Grid Map
2.3 Fused Path Planning
3 Experiments and Results
4 Conclusion
References
Prediction of Decay of Pavement Quality or Performance Index Based on Light Gradient Boost Machine
1 Introduction
2 Data Acquisition and Preprocessing
2.1 Data Fusion
2.2 Data Quality Improvement
3 PQI Prediction Based on Machine Learning
3.1 PQI Prediction Based on LightGBM
3.2 PQI Prediction Based on Random Forest
3.3 Prediction Results and Analysis
4 Conclusion
References
Disease Prediction on Wearables Activity Data Using Stacked Bidirectional LSTM
1 Introduction
2 Related Work
3 Proposed Approach
3.1 Time Interval of Tim2vec
3.2 Intra-segment Loss
3.3 Inter-segment Loss
3.4 Connection Loss
3.5 Combined Loss
3.6 Stacked Bidirectional LSTM
4 Experiment
4.1 Confusion Matrix Results
4.2 Different Prediction Models Comparison
4.3 Experiment on Unlabeled Records
5 Conclusions
References
The Research of Spam-Mail Governance Based on the Big Data Analysis of Enterprise E-mail System
1 Introduction
2 Big Data Analysis Technology of E-mail System
2.1 Mail System Data Collection
2.2 Data Warehousing and Storage
3 Data Analysis Results Can Be Used to Business Applications
3.1 Enhancement of Anti-spam Gateway Algorithm
3.2 Applying of Anti-spam Gateway Trend Algorithm
4 Practical Application of Anti-spam Gateway Algorithm Enhancement
5 Summary
References
Earthquake Prediction Based on Spatial-Temporal Data Mining
1 Introduction
2 Study Area and Data
2.1 Study Area
2.2 Seismic Indicators
3 Method
3.1 Earthquake Prediction Based on Graph Convolutional Neural Network
3.2 Sub-regions Spatial Relationship Modeling
4 Results and Analysis
4.1 Validity Analysis of Spatial Correlation
4.2 Analysis of Multi-graph Fusion
4.3 Analysis of Parameter k
5 Conclusion
References
Research on the Application of Maritime Combat Data Based on Big Data
1 Introduction
2 Big Data Concept and Technology System
2.1 Concept and Characteristics of Big Data
2.2 Big Data Technology System
3 Characteristics and Key Application Technologies of Big Data in Sea Battlefield
3.1 Big Data Features of Sea Battlefield
3.2 Big Data Application Technology of Sea Battlefield Command Information System
4 Sea Battlefield Command Information System Based on Big Data
4.1 Composition of Sea Battlefield Command Information System Based on Big Data
4.2 Application and Processing Flow of Maritime Operation Data Based on Big Data
5 Conclusion
References
Research on Preprocessing of Vehicle Trajectory Data Based on Hadoop
1 Introduction
2 Related Research
2.1 Overview of Trajectory Data
2.2 Problems to Be Solved by Trajectory Data Preprocessing
3 Trajectory Data Preprocessing Method
3.1 Introduction of Hadoop
3.2 Data Preprocessing Model
3.3 Data Cleaning
4 Experimental Part
4.1 Experimental Environment
4.2 Experimental Results and Analysis
5 Conclusion
References
Robot Application
An Emotional Interaction Robot with Facial Expression Recognition Realized on Raspberry Pi and STM32
1 Introduction
2 Proposed Framework of Emotional Interaction Robot
2.1 Facial Expression Recognition Module
2.2 Interaction Module
3 Experiments
4 Conclusion
References
Dynamics Research and Design of Inspection Robot for Thermal Power Coal Gallery Based on Coalescence of Modified Coulomb Friction Law and Synchronous Belt Drive Principle
1 Introduction
2 Working Conditions and Determination of Driving Mode
2.1 Coal Conveying Corridor
2.2 Coal Conveying Equipment
2.3 Inspection Robot
3 Driving Principle and Driving Coalescence Method
3.1 Classical Coulomb’s Law of Friction
3.2 Finite Tooth Meshing Based on Synchronous Belt Transmission Principle
3.3 Coalescence of Positive Transmission and Inpositive Transmission
3.4 Modified Model of Coulomb’s Law
4 Positive/Inpositive Coalescence Drive Mechanism Design
5 Conclusion
References
Multiobjective Obstacle Avoidance Motion Planning for a New Material Handling Robot
1 Introduction
2 Robot Modelling
3 Trajectory Parameterization
4 Collision Detection
5 Parameter Optimization
6 Results and Simulation
7 Conclusion
References
A Visual Navigation Strategy for Express Carrying Robot Based on Improved Faster R-CNN
1 Introduction
2 Related Works
2.1 Express Carrying Robot Model
2.2 Differential Drive and Its Relationship with Deflection Angle
2.3 R-CNN, Fast R-CNN and Faster R-CNN
2.4 Harris Corner Detection Algorithm and PnP
3 Proposed Improved Faster R-CNN for the Visual Navigation
3.1 The Overall Visual Navigation Strategy
3.2 The Improved Fast R-CNN
4 Experiments and Results
4.1 The Improved Fast R-CNN
4.2 Data Set Preparation
4.3 Improved Faster R-CNN Compared with Faster R-CNN
5 Conclusion
References
Analysis of Key Technologies of Intelligent Fire Robot
1 Introduction
2 Development Status of Fire Fighting Robot at Home and Abroad
3 Key Technologies of Intelligent Fire Fighting Robot
3.1 Autonomous Decision Making, Sensing Technology
3.2 Autonomous Positioning, Navigation and Path Planning Technology
3.3 High Efficiency and Energy Saving Technology
3.4 Multi-aircraft Cooperative Combat Technology
4 Summary and Prospect
References
Physarum Polycephalum Inspired Search Strategy for Multi-robot
1 Introduction
2 Related Works
2.1 Physarum Polycephalum
2.2 Multi-robot System
3 Strategy
3.1 Election Behavior
3.2 Leave Behavior
3.3 Explore Behavior
4 Experiments
4.1 Robot Model and Parameter Settings
4.2 Difficulty Tests
4.3 Obstacle Tests
5 Conclusion and Future Work
References
Research on Wireless Transmission System and Weak Signal Processing for Near Bit Measurement Tool
1 Introduction
2 Electromagnetic Transmission Channel and Frequency Characteristics Analysis
3 Principles of Electromagnetic Wireless Emission
4 Signal Detection and DFT Double-Peak Spectrum Algorithm
4.1 Signal Analysis About Receiving System
4.2 DFT Double-Peak Spectrum Algorithm
4.3 Algorithm Simulation
5 Conclusion
References
Gyrator Transform of an Airy-Hermite-Gaussian Beam
1 Introduction
2 AiHGBs with Cross Phase
3 Results and Analysis of Numerical Simulations
4 Conclusions
References
Author Index