3D Imaging―Multidimensional Signal Processing and Deep Learning: Images, Augmented Reality and Information Technologies, Volume 1

Preface
Contents
About the Editors
1 A Review of Temporal Network Analysis and Applications
1.1 Introduction
1.2 Modeling and Representations of Temporal Networks
1.3 Structural Properties and Statistical Characteristics
1.3.1 Temporal Motifs and Community Structures
1.3.2 Paths and Distances
1.3.3 Centrality Metrics
1.4 Application Analysis
1.4.1 Important Node Analysis
1.4.2 Link Prediction
1.4.3 Community Segmentation
1.4.4 Influence Maximization
1.4.5 Analysis Tools
1.5 The Future Outlook
References
2 A Knowledge Representation Method for Hierarchical Diagnosis Decision-Making Under Uncertain Conditions
2.1 Introduction
2.2 Hierarchical Diagnosis Decision-Making Knowledge Classification
2.3 Hierarchical Diagnosis Decision-Making Knowledge Ontology Modeling
2.3.1 Hierarchical Diagnosis Decision-Making Knowledge Representation Model
2.3.2 Hierarchical Diagnosis Decision-Making Knowledge Representation Model
2.4 The Semantic Level of Hierarchical Diagnosis Decision-Making and Its Knowledge Relevance
2.4.1 Device Domain Ontology Semantics and Their Relationships
2.4.2 Process Domain Ontology Semantics and Their Relationships
2.4.3 Diagnostic Domain Ontology Semantics and Their Relationships
2.4.4 Maintenance Decision Domain Ontology Semantics and Their Relationships
2.5 Conclusions
References
3 Research and Implementation of Hybrid Storage Method for Multi-source Heterogeneous Data of Electric Distribution Network
3.1 Introduction
3.2 Related Work
3.3 Research on the Method of Hybrid Storage Method for Multi-source Heterogeneous Data of Electric Distribution Network
3.3.1 Characteristics of Electric Distribution Network Data
3.3.2 Hybrid Storage Method for Multi-source Heterogeneous Data of Electric Distribution Network
3.4 Implementation of the Method of Hybrid Storage for Multi-source Heterogeneous Data of Electric Distribution Network
3.4.1 Design of Hybrid Storage Framework for Power Distribution Data
3.4.2 Implementation of Hybrid Storage Management System for Power Distribution Data
3.5 Application Results
References
4 Research on Measuring Method of Ball Indentation Based on MATLAB Image Edge Detection
4.1 Introduction
4.2 Indentation Measurement
4.3 Edge Detection
4.4 Technical Scheme
4.4.1 Measurement Steps and Methods
4.4.2 Simulation Result
4.5 Concluding Remarks
References
5 Multi-feature Extraction of Mineral Zone of Tabling Through Deep Semantic Segmentation
5.1 Introduction
5.2 Process and Method
5.2.1 Acquisition and Production of Datasets
5.2.2 Construction of Deep Segmentation Model
5.2.3 Training Results of Deep Segmentation Model
5.2.4 Evaluation of Prediction Results of Deep Semantic Segmentation Model
5.3 Multi-scale Geometric Feature Characterization and Extraction of Mineral Zone
5.3.1 Multi-scale Feature Representation of Minera Zone
5.3.2 Multi-scale Feature Extraction of Mineral Zone
5.3.3 Result of the Extraction of Mineral Zone
5.4 Conclusion
References
6 Research on Mass Image Data Storage Method for Data Center
6.1 Introduction
6.2 Key Technology
6.3 System Design
6.4 Function Realization
6.5 Conclusion
References
7 Research on Virtual and Real Spatial Data Interconnection Mapping Technology for Digital Twin
7.1 Introduction
7.1.1 Research Background
7.1.2 Purpose and Significance
7.1.3 Research Level at Home and Abroad
7.2 Key Technology Research
7.2.1 Data Interconnection, Fusion Information Model Modeling, and Driving Technology Based on Power Grid Reality Twins
7.2.2 Multi-service Continuous Mapping Mechanism and Real-Time Data Panorama Mapping Method in Power Grid “Virtual-Real” Space
7.2.3 Efficient Transmission and Update Integration Technology of Twin Body Data in the Power Grid Environment
7.3 Conclusion
References
8 Prediction of Breast Cancer Via Deep Learning
8.1 Introduction
8.1.1 Introduction to Deep Learning
8.2 Approach
8.3 Method
8.3.1 Experimental Tool
8.3.2 Data Set
8.3.3 Experimental Indicators
8.3.4 Structural and Parametric Design
8.3.5 Experimental Results and Analysis
8.4 Conclusion
References
9 Scheme Design of Network Neighbor Discovery Algorithm Based on the Combination of Directional Antenna and Multi-channel Parallelism
9.1 Introduction
9.2 Neighbor Discovery Protocol Based on Directional Antenna and Multi-channel
9.2.1 Efficient Unidirectional Neighbor Discovery Strategy
9.2.2 Multi-channel Parallel Neighbor Discovery Strategy
9.2.3 A Fast Neighbor Discovery Strategy Combining Directional Antennas and Multi-channel Parallelism
9.3 Design of Combining Directional Antenna and Multi-channel Parallelism
9.3.1 Design of Simulation and Experimental Verification System
9.3.2 Design of a Fast Neighbor Discovery Strategy Combining Two Mechanisms
9.4 Summary and Prospect of the Scheme Design
9.4.1 Feasibility Analysis of Current Scheme
9.4.2 Summary of Current Scheme
9.4.3 Prospect of the Future Works
References
10 Ship Target Detection in Remote Sensing Image Based on Improved RetinaNet
10.1 Introduction
10.2 RetinaNet
10.2.1 Feature Extraction Network
10.2.2 Feature Fusion Structure
10.2.3 Loss Function and Classification Regression Sub-network
10.3 Network Model
10.3.1 Improved Loss Function
10.4 Experimental Dataset
10.4.1 Evaluation Parameters
10.4.2 Comparison of Result
10.5 Conclusion
References
11 Research on the Application of 3D Modeling Technology in Mechanical Structure Teaching
11.1 Introduction
11.2 The Present Situation and Characteristics of 3D Modeling Technology
11.2.1 The Situation
11.2.2 Characteristic
11.3 Current Situation of Mechanical Structure Teaching
11.3.1 The Internal Structure of Equipment is Difficult to Understand
11.3.2 There Are Hidden Dangers in the Actual Installation Operation
11.3.3 The Operation Demonstration Takes a Long Time
11.3.4 Action Demonstration of Equipment is Difficult
11.3.5 High Cost of Teaching
11.4 Using “3D Modeling Technology” to Improve the Quality of Mechanical Structure Teaching
11.4.1 Establishing the Basic Unit of the Model is the Basic Work to Improve the Teaching Quality
11.4.2 Using 3D Model of Equipment to Solve Difficult Problems in Real-Life Teaching
11.4.3 The 3D Model is Used for Simulation Analysis to Achieve Scientific and Accurate Inspection and Maintenance of Equipment
11.5 Conclusion
References
12 2D Numerical Model Used to Investigate the Influence of Vegetation on Geomorphological Evolution of Mudflats
12.1 Introduction
12.2 Research Methods
12.2.1 Model Setup
12.3 Results and Discussion
12.3.1 Evolution of Bare Mudflat
12.3.2 Evolution of Vegetated Mudflat
12.3.3 Influence of Vegetation on the Evolution of Muddy Tidal Flat Landform
12.4 Conclusions
References
13 Design and Experimental Verification of High Functional Density Cubesat System
13.1 Introduction
13.2 Design Requirements for High Functional Density Cubesat
13.2.1 Standardization
13.2.2 Integration
13.3 The System Design of Cubesat with High Functional Density
13.3.1 Standardized Assembly Stack
13.3.2 Energy Integration Design
13.3.3 Autonomous Operation Management
13.3.4 Diversified Task Mode
13.4 On-Orbit Verification
13.5 Expectation
References
14 Space Design of Exhibition Hall Based on Virtual Reality
14.1 Introduction
14.2 Research Method
14.2.1 Design Principles of VR Display
14.2.2 Generation of Panorama of Space Scene in Exhibition Hall
14.3 Result Analysis
14.4 Conclusion
References
15 Identification of Expressway Traffic States Based on the Enhanced FCM Algorithm
15.1 Description of Expressway Traffic States
15.2 State Identification Based on Enhanced FCM Algorithm
15.2.1 FCM Clustering Analysis and Implementation
15.2.2 SAGA-FCM Algorithm
15.3 Case Analysis
15.4 Summary
References
16 Algorithms Applied in Soft Tissue Deformation Simulation: A Survey
16.1 Introduction
16.2 Algorithms for Deformation Simulation of Soft Tissue
16.2.1 Algorithms of Graphics Based Deformation
16.2.2 Algorithms Based on Physical Characteristics
16.3 Results
16.4 Conclusion
References
17 Soft Tissue Cutting Based on Position Dynamics
17.1 Introduction
17.2 Based on Position Dynamics Algorithm and Tetrahedral Mesh Generation
17.2.1 Tetrahedral Mesh Generation
17.2.2 Based on the Principle of Position Dynamics Algorithm
17.3 Interactive Cutting Algorithm
17.3.1 Tetrahedral Cutting
17.3.2 Particle Constraint
17.3.3 Section Treatment
17.4 Simulation Experiment
17.5 Conclusion
References
18 Research on Application Technology of Multi-source Fusion of 3D Digital Resources in Power Grid
18.1 Introduction
18.2 Multimedia Heterogeneous Model Spatial Transformation, Pose Registration, and Comprehensive Reconstruction Technology
18.2.1 Analysis of Demand for 3D Digital Model Media at Different Stages of Infrastructure, Operation, and Maintenance
18.2.2 Discretized Sampling of Research Equipment GIM Model and Attitude Registration Method with Scanned Point Cloud
18.2.3 Research on Comprehensive Reconstruction of Digital Model Through Multi-source Medium Model, Appearance, and Internal Combination
18.3 Multi-source 3D Digital Resource Fusion Analysis Technology with Variable Space and Time
18.4 Conclusions
References
19 Rapid Identification of Herbaceous Biomass Based on Raman Spectrum Analysis
19.1 Introduction
19.2 Materials and Methods
19.2.1 Materials
19.2.2 Experimental Methods
19.2.3 Raman Spectrum Data Processing
19.2.4 Extraction of Key Features Raman Spectrum Region
19.2.5 Machine Learning Model Establishment
19.3 Results and Discussion
19.3.1 Identification of Tobacco Origin
19.3.2 Identification of Tobacco Grade
19.3.3 Identification Model Optimization
19.4 Conclusion
References
20 Research on Spam Detection with a Hybrid Machine Learning Model
20.1 Introduction
20.2 Literature Review
20.3 Proposed Model
20.3.1 Framework of Proposed Model
20.3.2 Stage One Process
20.3.3 Stage Two Process
20.4 Experiment Result
20.4.1 Dataset
20.4.2 Experiment Result
20.5 Conclusion
References
21 Research on Weld Defect Object Detection Based on Multi-channel Fusion Convolutional Neural Network
21.1 Introduction
21.2 Multi-channel Fusion Convolutional Neural Network
21.2.1 ResNet Network Structure Analysis
21.2.2 Multi-channel Fusion ResNet
21.2.3 Faster-RCNN Object Detection Model
21.3 Experiment and Analysis
21.3.1 Weld Defect Dataset
21.3.2 Evaluation Index
21.3.3 Experimental Running Environment
21.3.4 Results
21.4 Conclusion
References
22 Design and Research of Highway Tunnel Construction Positioning System Based on UWB
22.1 Introduction
22.2 Brief Introduction of UWB Positioning Technology
22.3 Highway Tunnel Construction Positioning System Based on UWB
22.3.1 Perception Layer
22.3.2 The Transport Layer
22.3.3 Calculating Layer
22.3.4 The Application Layer
22.4 Positioning System Test
22.4.1 Test Environment Construction
22.4.2 Performance Test
22.4.3 Test Results
22.5 Conclusion
References
23 Research on Cross Domain Data Analysis and Data Mining Technology of Power Grid Digital Benefits
23.1 Introduction
23.2 Power Grid Cross Domain System Requirements
23.3 Research on the Relationship Between Cross Domain Data and Digital System
23.4 Cross Domain Data Mining Process
23.4.1 Clustering Method
23.4.2 Cluster Similarity Measurement
23.4.3 Feature Mining of Historical Data
23.5 Fitting Analysis Technology
23.6 Conclusion
References
24 Graph Convolutional Neural Networks for Drug Target Affinity Prediction in U-Shaped and Skip-Connection Architectures
24.1 Introduction
24.2 Datasets and Methods
24.2.1 Datasets
24.2.2 Drug Molecule Representation
24.2.3 Protein Representation
24.2.4 Model Architecture
24.3 Experiment and Result
24.3.1 Evaluation
24.3.2 Baseline models
24.3.3 Setting of the Hyperparameters
24.3.4 Variants
24.3.5 Results and Analysis
24.4 Conclusion
References
25 SOC Estimation of Lithium Titanate Battery Based on Variable Temperature Equivalent Model
25.1 Introduction
25.2 Equivalent Model of Lithium Battery
25.2.1 Equivalent Model
25.2.2 OCV-SOC Nonlinear Relationship
25.2.3 Parameter Identification
25.3 Cubature Kalman Filter Algorithm
25.4 Testing and Discussion
25.4.1 Test Under Different Current Conditions
25.4.2 Test Under Different Temperature Conditions
25.4.3 Algorithm Comparison Test
25.4.4 Initial Value Robustness Test
25.5 Conclusion
References
Appendix
Author Index