Advanced Hybrid Information Processing

Name: Advanced Hybrid Information Processing | 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part II
Brand: Springer
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4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part II

Shuai Liu Liyun Xia(Editor)

Springer (Publisher)

Published on 28. January 2021

XIX, 476 pages

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978-3-030-67874-6 (ISBN)

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Content

Intro
Preface
Conference Organization
Contents - Part II
Contents - Part I
Industrial Automation and Intelligent Control
A Communication Channel Selection Algorithm Considering Equilibrium
Abstract
1 Introduction
2 Data Collection
3 Data Processing
4 Noise Floor Selection and Multipath Search
5 Analysis of Channel Fading Characteristics
6 Algorithm Description
7 Optimal Channel Selection
8 Experimental Results and Analysis
9 Conclusion
References
Research on Intelligent Investment Prediction Model of Building Based on Support Vector Machine
Abstract
1 Introduction
2 Materials and Methods
2.1 Support Vector Regression Algorithm
2.2 Application Steps of Support Vector Regression ( SVR )
3 Construction of Expert System in Investment Prediction Model
4 Application of Investment Prediction Model
4.1 The Determination of Project Cost Prediction Index
4.2 Acquisition and Preprocessing of Sample Data
4.3 Interface and Function Construction of Expert System
4.4 Selection of SVR Parameters
4.5 Model Training and Testing
4.6 Analysis of Prediction Results
5 Conclusion
References
Research on Electricity Characteristic Recognition Method of Clean Heating Based on Big Data Model
Abstract
1 Introduction
2 Electricity Characteristic Recognition of Clean Heating Based on Large Data Model
2.1 Feature Recognition Data Integration
2.2 Identifying Electric Load
2.3 Identifying Electricity Consumption
2.4 Identifying Periodicity of Electricity Consumption
2.5 Recognition of Regional Characteristics
3 Analysis of Experimental Demonstration
4 Concluding
References
Study on the Dynamics of Virus Propagation in Combination with Big Data and Kinetic Models
Abstract
1 Introduction
2 Theoretical Analysis of Big Data and Dynamics Models
3 Virus Propagation Model
4 Analysis of Results
5 Conclusions
Acknowledgements
References
Research on Active Disturbance Rejection Method of Mobile Communication Network Nodes Based on Artificial Intelligence
Abstract
1 Introduction
2 Anti-jamming Method of Mobile Communication Network Node Based on AI
2.1 Disturbance Recognition and Analysis
2.2 Anti-jamming Processing of Mobile Communication Network Nodes
3 Mobile Communication Quality Testing and Analysis
4 Conclusion
References
Research on Anonymous Reconstruction Method of Multi-serial Communication Information Flow Under Big Data
Abstract
1 Introduction
2 Design of Anonymous Reconstruction Method for Information Flow
2.1 Raw Information Flow Acquisition
2.2 Collaborative Filtering of Multi-serial Communication
2.3 Communication Information Known by Relay Nodes
2.4 Establishing an Anonymous Path to Output the Result of Anonymous Reconstruction
3 Experimental Analysis
4 Conclusion
References
Mobile Communication Network Channel Allocation Method Based on Big Data Technology
Abstract
1 Introduction
2 Design of Big Data Channel Allocation Method
2.1 Channel Discretization
2.2 Channel Allocation Algorithm Design
2.3 Mobile Communication Network Channel Allocation Implementation
3 Simulation Experiment Demonstration and Analysis
4 Conclusion
References
Intelligent Optimization Design of Reactive Voltage Sensitivity Parameters for Large-Scale Distributed Wind Farms
Abstract
1 Introduction
2 Intelligent Optimization Model Design of Reactive Voltage Sensitivity Parameter
2.1 Wind Farm Equivalent Circuit Design
2.2 Parameter Optimization
2.3 Objective Function Setting
2.4 Adjustment Weight Coefficient
3 Improved Bat Algorithm Based on Parameter Intelligent Optimization Model
4 Intelligent Optimization Based on Improved Bat Algorithm
5 Simulation Experiments
6 Conclusion
References
Distributed Reactive Energy Storage Structure Voltage Reactive Power Control Algorithm Based on Big Data Analysis
Abstract
1 Introduction
2 Distributed Hybrid Energy Storage Structure Voltage Reactive Power Control Algorithm
2.1 Establish Voltage Reactive Power Control Model
2.2 Realizing Voltage Reactive Power Control Algorithm
3 Experimental Results
4 Conclusion
References
Performance Optimization Analysis of Carbon Nanotube Composites Based on Fuzzy Logic
Abstract
1 Introduction
2 Performance Optimization Model Design of Carbon Nanotube Composites
2.1 Performance Equivalent Parameter Calculation
2.2 Refinement of the Material Ratio
2.3 Refinement of Standard Geometric Shapes
2.4 Fuzzy Relation Matrix Implementation Performance Optimization
3 Experimental Results and Analysis
4 Conclusion
Acknowledgments
References
Network Dynamic Bad Information Security Filtering Algorithms Based on Large Data Analysis
Abstract
1 Introduction
2 Network Dynamic Bad Information Security Filtering Algorithms
2.1 Network Information Security Situation Assessment
2.2 Dynamic Time Domain Location of Bad Information
2.3 Network Dynamic Bad Information Filtering Method
2.4 Implementation of Dynamic Information Security Filtering
3 Analysis of Experimental Results
3.1 Experimental Environment
3.2 Experimental Parameter Setting
3.3 Analysis of Experimental Results
3.3.1 Analysis of Filtering Accuracy of Network Information with Different Algorithms
3.3.2 Gradient Analysis of Network Information Filtering Based on Different Algorithms
3.3.3 Time Consuming Analysis of Network Information Filtering with Different Algorithms
4 Conclusion
References
Analysis of Intelligent Monitoring Model of Network Security Situation Based on Grid Power Flow
Abstract
1 Introduction
2 Design of Intelligent Monitoring Model for Network Security Situation Based on Power Flow
2.1 Construction of Intelligent Monitoring System for Network Security Situation
2.2 Adjusting Monitoring Sequence of Power Flow Intermediate Database
2.3 Introduction of Power Flow Correction Factor
2.4 Normalization of Network Security Situation
3 Model Effectiveness Verification
3.1 Preliminary Experiment Preparation
3.2 Network Security Intelligent Monitoring Node Coverage Comparison
4 Conclusion
Acknowledgments
References
Online Monitoring Method for Hazard Source of Power System Network Based on Mobile Internet
Abstract
1 Introduction
2 On-Line Monitoring of Hazard Source of Power System Network Based on Mobile Internet
2.1 Hazard Source Data Collection
2.2 Hazard Source Parameter Identification
2.3 Hazard Source Location
2.4 Realizing On-Line Monitoring of Hazard Source
3 Experimental Research
4 Conclusion
Acknowledgements
References
An Algorithm of Intelligent Classification For Rotating Mechanical Failure Based on Optimized Support Vector Machine
Abstract
1 Introduction
2 Elimination of False Components
3 Support Vector Machine Classification Algorithm Based on Decision Directed Acyclic Graph
4 Experiment and Analysis
5 Conclusions
References
Research on Anti-point Source Jamming Method of Airborne Radar Based on Artificial Intelligence
Abstract
1 Introduction
2 Design of Anti-point Source Jamming Method for Airborne Radar
2.1 Frequency Shift Detection of Airborne Radar
2.2 Intelligent Point Source Target Recognition
2.3 Generating Suppression Interference Filtering
2.4 Output Suppression of Interference Signal to Realize Anti-jamming Method
3 Experimental Analysis
4 Conclusion
References
Statistical Analysis of Catalytic Removal of Soot Particles Based on Big Data
Abstract
1 Introduction
2 Statistical Analysis Framework of Catalytic Removal of Soot Particles Based on Big Data
3 Analysis of Catalytic Removal of Soot Particles
3.1 Catalytic Removal of Soot Particles Based on Sol-Gel Process
3.2 Catalytic Removal of Soot Particles Based on Low Temperature Plasma
3.3 Removal of Soot Particles Based on Perovskite Catalyst
4 Discussion of Results
5 Conclusion
References
Research on Electric Drive Control Method Based on Parallel Computing
Abstract
1 Introduction
2 Electric Drive Control Method Based on Parallel Computing
2.1 Load Distribution Based on Parallel Computing
2.2 Motor Vector Control
3 Experimental Analysis
3.1 Experimental Environment
3.2 Experimental Parameters
3.3 Experimental Scheme
3.4 Analysis of Experimental Results
3.4.1 Control Accuracy Analysis by Different Methods
3.4.2 Control Stability Analysis by Different Methods
4 Conclusion
References
Community Discovery Algorithm Based on Parallel Recommendation in Cloud Computing
Abstract
1 Introduction
2 Design of Social Network Community Discovery Algorithm
2.1 Mining Candidate Trusted User Sets
2.2 Community Division
2.3 Implement Social Network Community Discovery Computin
3 Experimental Demonstration and Analysis
3.1 Stability Testing
4 Conclusion
Acknowledgments
References
Deployment Optimization of Perception Layer Nodes in the Internet of Things Based on NB-IoT Technology
Abstract
1 Introduction
2 Design of Optimal Deployment Method for Perception Layer Nodes in the Internet of Things
2.1 Perception Layer Node Coding
2.2 Design of Fitness Function
2.3 Implementation of Node Deployment Optimization
3 Performance Optimization Analysis of IoT Sensing Layer Node Deployment Optimization Method
3.1 Experimental Parameter Number Preparation
3.2 Node Coverage Analysis
4 Conclusions
References
Analysis of Energy Saving Method for Multiple Relay Nodes in Wireless Volume Domain Network
Abstract
1 Introduction
2 Energy Saving Method for Multiple Relay Nodes in Wireless Volume Domain Network
2.1 Wireless Body Area Network
2.2 Model Building
2.3 Study on Energy Saving of Relay Cooperation
3 Experimental Results and Analysis
3.1 Initial Environment Setup and Parameter Setup
3.2 Comparison of Experimental Results
4 Summary
References
Study on Probability Statistics of Unbalanced Cloud Load Scheduling
Abstract
1 Introduction
2 Probability Statistics Method of Unbalanced Load Scheduling in Network Packet Cloud
2.1 Cloud Server Load Calculation
2.2 Anti-saturation Factor Calculation
2.3 Cloud Server Grouping
2.4 Fuzzy Cyclic Iterative Control of Dynamic Network Resources
3 Method Test Experiment
3.1 Experimental Program
3.2 Result Analysis
4 Conclusion
References
Intelligent Authentication Method for Trusted Access of Mobile Nodes in Internet of Things Driven by Cloud Trust
Abstract
1 Introduction
2 Intelligent Authentication of Trusted Access of Mobile Nodes in Internet of Things Driven by Cloud
2.1 Mobile Node Determination of Internet of Things Based on Cloud Trust-Driven
2.2 Filtering Process of Mobile Node in Internet of Things
2.3 Credit Value Evaluation and Processing Process of Internet of Things Mobile Node
2.4 Intelligent Authentication of Trusted Access to Internet of Things Mobile Node
3 Results
3.1 Experimental Environment and Test Data Setting
3.2 Analysis of Test Results
4 Conclusions
Acknowledgment
References
Visual Information Processing
Research on Dynamic Integration of Multi-objective Data in UI Color Interface
Abstract
1 Introduction
2 Dynamic Integration Method of Multi-objective Data in UI Color Interface
2.1 Deep Web Data Acquisition Sampling
2.2 Detection and Tracking of Target Image
2.3 Multi Objective Integration
2.4 Optimal Path Multi-objective Equilibrium Integration
3 Experiment and Analysis
3.1 Experiment Preparation
3.2 Experimental Results and Analysis
4 Conclusion
References
The Application of Visualization of Internet of Things in Online Teaching of Mobile Interactive Interface Optimization
Abstract
1 Introduction
2 Optimize the Interactive Interface of Mobile Teaching on the Visualization of the Internet of Things
2.1 Design Optimization of Mobile Interactive Interface Based on Visualization
2.2 Human Computer Interaction Design Optimization
3 Simulation Experiments
3.1 Experimental Preparation
3.2 Comparison of Experimental Results
4 Conclusion
References
Research on Feature Extraction Method of UAV Video Image Based on Target Tracking
Abstract
1 Introduction
2 Research on Feature Extraction Method of UAV Video Image
2.1 Drone Video Image Stitching
2.2 Target Detection and Positioning
2.3 Feature Extraction of Video Image in Target Area
2.4 Feature-Based Target Tracking
3 Performance Analysis of Feature Extraction Method for UAV Video Image
3.1 Simulation Experiment on ORL Database
3.2 Simulation Experiment on COIL-20 Database
4 Empirical Conclusion
Acknowledgements
References
Automatic Recognition of Tea Bud Image Based on Support Vector Machine
Abstract
1 Introduction
2 Extracting Image Feature Parameters of Tea Buds
2.1 Tea Shoots Image Collection
2.2 Extract Color Features of Buds
2.3 Texture Feature Extraction of Buds
3 Research on Automatic Recognition of Tea Bud Image Based on Support Vector Machine
4 Experiment
4.1 Experimental Design
4.2 Statistical Results Analysis
5 Conclusion
Fund Projects
References
Automatic Color Image Segmentation Based on Visual Characteristics in Cloud Computing
Abstract
1 Introduction
2 Automatic Color Image Segmentation Method Based on Visual Characteristics
2.1 Visual Characteristics
2.2 Color Image Grayscale
2.3 Image Enhancement
2.4 Image Edge Detection
2.5 Image Segmentation
3 Simulation Test
4 Conclusion
References
Research on Moving Target Behavior Recognition Method Based on Deep Convolutional Neural Network
Abstract
1 Introduction
2 Design of Moving Target Behavior Recognition Method Based on Deep Convolutional Neural Network
2.1 Deep Convolutional Neural Network Target Model
2.2 Network Basic Unit Design
2.3 Implementation of Moving Target Behavior Recognition
3 Simulation Experiment
3.1 Experiment Data
3.2 Average Literacy Rate and Comparison Rate
3.3 Comparative Experiment
4 Conclusion
Acknowledgments
References
Design of 3D Image Feature Point Detection System Based on Artificial Intelligence
Abstract
1 Introduction
2 System Overall Frame Design
3 Hardware System Design
3.1 Development Boards
3.2 Peripherals and Interfaces
3.3 Reconstruction of Basic Engineering
3.4 Feature Point Detection Unit
4 Software System Design
4.1 Image Collection Module
4.2 Image Feature Point Display Module
4.3 Image Feature Point Processing Module
4.4 Image Feature Point Extraction Module
4.5 Image Feature Point Description Module
5 Experimental Results and Discussion
6 Concluding Remarks
References
An Optimal Tracking Method for Moving Trajectory of Rigid-Flexible Coupled Manipulator Based on Large Data Analysis
Abstract
1 Introduction
2 An Optimal Tracking Method for the Moving Trajectory of a Rigid-Flexible Coupled Manipulator
2.1 Mathematical Model of Manipulator
2.2 Manipulator Trajectory Tracking Control Strategy
2.3 Structure of Fuzzy Neural Network
3 Tracking Error Simulation Experiment
4 Conclusion
Acknowledgements
References
Fast Recognition of Multi-combination Target Features in Motion Image Based on Large Data Analysis
Abstract
1 Introduction
2 Fast Recognition of Multi-combination Target Features in Motion Image Based on Large Data Analysis
2.1 Feature Extraction of Multi-combination Objects in Image
2.2 Noise Reduction Processing of Motion Image
2.3 Fast Recognition of Target Characteristics
3 Simulation Experiment and Result Analysis
3.1 Experimental Data Setting
3.2 Analysis of Experimental Results
4 Conclusion
References
Research on Accurate Communication Method of Spatial Scene Visual Information Based on Big Data Analysis
Abstract
1 Introduction
2 Accurate Communication Method of Spatial Scene Visual Information Based on Big Data Analysis
2.1 Space Scene Digital Image Acquisition
2.2 Spatial Scene Image Transcoding Preprocessing
2.3 Space Scene Image Distortion Correction
2.4 Spatial Scene Image Smoothing
2.5 Spatial Scene Image Segmentation
2.6 Realization of Accurate Information Transmission
3 Experimental Results and Analysis
4 Conclusion
References
Fast Detection Method for Local Search Target of Community Structure Under Big Data
Abstract
1 Introduction
2 Analysis of Rapid Detection Method for Local Search Target of Community Structure Under Big Data
2.1 Key Technology Analysis of Target Rapid Detection Method
2.2 Overall Model Framework
2.3 Web Search Model
2.4 Convolution Nuclear Quantitative Analysis
3 Realize the Rapid Detection of Local Search Target of Community Structure Under Big Data
3.1 Extraction of Local Search Targets
3.2 Local Search Target Rapid Detection Process
4 Experimental Results
5 Conclusion
Acknowledgments
References
Research on Adaptive Segmentation Algorithm of Image Weak Target Based on Pattern Recognition
Abstract
1 Introduction
2 Principle of Image Segmentation
3 Weak Target Adaptive Segmentation Algorithm
3.1 Image Preprocessing
3.2 Weak Target Detection
3.3 Feature Extraction
3.4 Adaptive Threshold for Image Segmentation
4 Simulation Experiment
5 Conclusion
References
Target Tracking Algorithm for Multi-channel Information Transmission in Large Data Environment
Abstract
1 Introduction
2 Target Tracking Algorithm for Multi-channel Information Transmission
2.1 Determine the Range of Multi-channel Information Transmission
2.2 Optimized Decoding Algorithms
2.3 Implementation of Multi-channel Information Transmission Target Tracking
3 Experimental Conclusion
4 Concluding Remarks
References
Research on an Algorithm of Six Degrees of Freedom Manipulator Arm Moving with End Trajectory
Abstract
1 Introduction
2 Algorithm of Six Degrees of Freedom Manipulator Arm for Following End Track
2.1 The Establishment of Trajectory Model and the Analysis of End Trajectory Motion of Manipulator Arm
2.2 To Solve Trajectory Model of Manipulator Arm Based on Particle Swarm
3 Experimental Results and Analysis
3.1 Experiment (First) Results
3.2 Experiment (Second) Results
3.3 Experiment (Third) Results
4 Conclusions
References
Automatic Track Control Method for Multi-UAV Based on Embedded System
Abstract
1 Introduction
2 Automatic Track Control Method for Multi-UAV Based on Embedded System
2.1 Mathematical Model of UAV Track Deviation
2.2 Area Range Control of Multi-UAV Track
2.3 Realization of Automatic Track Control Method for Multi-UAV
3 Simulation Experiment and Summary
4 Conclusion
References
Visual Nondestructive Rendering of 3D Animation Images Based on Large Data
Abstract
1 Introduction
2 Visual Nondestructive Rendering of 3D Animation Images Based on Large Data
2.1 Time Domain Consistency Processing
2.2 Image Smoothing Processing
2.3 Image Edge Detection
2.4 Image Visual Lossless Rendering Implementation
3 Experimental Research
3.1 Experimental Parameters
3.2 Experimental Process
3.3 Experimental Results
4 Conclusion
References
Visual Reconstruction of Interactive Animation Interface Based on Web Technology
Abstract
1 Introduction
2 Visual Reconstruction of Interactive Animation Interface based on Web
2.1 Web Technology
2.2 Implementation of visual reconstruction of interactive animation interface
3 Experimental Results and Analysis
4 Conclusion
References
Micro Image Surface Defect Detection Technology Based on Machine Vision Big Data Analysis
Abstract
1 Introduction
2 Inspection System Overall Design
2.1 Overall Design of Micro Image Surface Defect Detection System
2.2 System Hardware Design
2.3 Software Design
3 Key Technology for Detection
4 Experimental Results and Analysis
Acknowledgements
References
Strength Detection Method for Subway Vehicle Bogie Frame in Big Data Environment
Abstract
1 Introduction
2 Strength Detection Method for Subway Vehicle Bogie Frame
2.1 Structural Strength Detection Parameter Selection
2.2 Build a Frame Test Bench
2.3 Finite Element Frame Strength Detection
2.3.1 Mesh Generation
2.3.2 Grid Quality Check
3 Implementation of Frame Strength Detection
3.1 Strength Check
3.2 Intensity Detection
4 Simulation Test
5 Conclusion
References
Online Monitoring Method of Big Data Load Anomaly Based on Deep Learning
Abstract
1 Introduction
2 Online Monitoring of Network Behavior Big Data Load Anomaly
2.1 Establishment of Online Monitoring Model for Abnormal Load
2.2 Abnormal Data Diagnosis
2.3 Online Monitoring
3 Case Simulation
3.1 Experiment Preparation
3.2 Result Analysis
4 Summary and Prospect
5 Concluding Remarks
References
Simulation Analysis of Building Energy Consumption Based on Big Data and BIM Technology
Abstract
1 Introduction
2 Materials and Methods
2.1 Establishment of 3D Building Information Model
2.2 Access Factors Affecting Building Energy Consumption
2.3 Building Energy Consumption Simulation Forecast
2.4 Building Energy Consumption Correction
2.5 Simulation Analysis of Building Energy Consumption
3 Results
3.1 Experimental Design
3.2 Experimental Results Without Considering Environmental Factors
3.3 Experimental Results Taking into Account Environmental Factors
4 Conclusion
References
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Advanced Hybrid Information Processing

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