Neural Computing for Advanced Applications : Third International Conference, NCAA 2022, Jinan, China, July 8–10, 2022, Proceedings, Part II

The two-volume Proceedings set CCIS 1637 and 1638 constitutes the refereed proceedings of the Third International Conference on Neural Computing for Advanced Applications, NCAA 2022, held in Jinan, China, during July 8–10, 2022. The 77 papers included in these proceedings were carefully reviewed and selected from 205 submissions. These papers were categorized into 10 technical tracks, i.e., neural network theory, and cognitive sciences, machine learning, data mining, data security & privacy protection, and data-driven applications, computational intelligence, nature-inspired optimizers, and their engineering applications, cloud/edge/fog computing, the Internet of Things/Vehicles (IoT/IoV), and their system optimization, control systems, network synchronization, system integration, and industrial artificial intelligence, fuzzy logic, neuro-fuzzy systems, decision making, and their applications in management sciences, computer vision, image processing, and their industrial applications, natural language processing, machine translation, knowledge graphs, and their applications, Neural computing-based fault diagnosis, fault forecasting, prognostic management, and system modeling, and Spreading dynamics, forecasting, and other intelligent techniques against coronavirus disease (COVID-19). Preface Organization Contents – Part II Contents – Part I Dynamic Community Detection via Adversarial Temporal Graph Representation Learning 1 Introduction 2 Method 2.1 Temporal Graph Autoencoder 2.2 Adversarial Learning 2.3 Measurable Modularity Loss 3 Experiments and Results 3.1 Dataset Preparation and Implementation Details 3.2 Dynamic Community Detection Performance 3.3 Graph Representation Learning Performance 4 Conclusion References Research on Non-intrusive Household Load Identification Method Applying LightGBM 1 Introduction 2 Overview 3 LightGBM Model Principle 3.1 Gradient-Based One-Sided Sampling 3.2 Mutually Exclusive Feature Bundle 3.3 Histogram Algorithm Improvements 3.4 Leaf Growth Strategy 4 Modeling of Non-intrusive Load Identification 4.1 Data Presentation and Analysis 4.2 Modeling 4.3 The Implementation Process of Household Load Identification 4.4 Analysis of Experimental Results 5 Conclusion References Master Multiple Real-Time Strategy Games with a Unified Learning Model Using Multi-agent Reinforcement Learning 1 Introduction 2 Related Work 2.1 Rule-Based Methods 2.2 Search-Based Methods 2.3 Learning-Based Methods 3 Preliminary 3.1 Real-Time Strategy Games 3.2 Reinforcement Learning 4 Methods 4.1 The Architecture 4.2 League Learning 4.3 Multi-agent Reinforcement Learning 5 Experiments 5.1 Environment 5.2 Experiment Setup 5.3 Experiment Results 6 Conclusion and Future Work References Research on Visual Servo Control System of Substation Insulator Washing Robot 1 Introduction 2 Overview of Insulator Washing Robot 3 Visual Servo Control System 4 Visual Positioning 4.1 Camera Calibration 4.2 Binocular Vision Positioning 4.3 Hand-Eye Relationship 5 Visual Servo Strategy 6 Image-Based Visual Servo Control Method 6.1 Calculation of Jacobi Matrix 6.2 Design of Vision Servo Controller 7 Simulation Experiments 8 Conclusion References A Dual-Size Convolutional Kernel CNN-Based Approach to EEG Signal Classification 1 Introduction 2 Experimental Data and Pre-processing 2.1 Experimental Test Datasets 2.2 Data Pre-processing 3 Feature Extraction of EEG Signals 4 Classification Algorithms for EEG Signals 4.1 Classifier Selection and Improvement 4.2 CNN Training Process 4.3 Dual Scale Convolutional Kernel CNN Network Architecture 5 Experimental Results and Analysis 5.1 Evaluation Indicators 6 Experimental Results and Analysis 7 Conclusion References Research and Simulation of Fuzzy Adaptive PID Control for Upper Limb Exoskeleton Robot 1 Introduction 2 Upper Limb Exoskeleton Robot 2.1 Robotic Arm Model Design 2.2 Robotic Arm Control System Design 3 Kinematic Analysis of Upper Limb Exoskeleton Robot 3.1 Kinematic Modeling 3.2 Robotic Arm Model Simulation 4 Control Strategy 5 Experimental Simulation 6 Conclusion References Short-Term Wind Power Prediction Based on Convolutional Neural Network-Bidirectional Long Short-Term Memory Network 1 Introduction 1.1 Background and Motivation 1.2 Literature Review 2 Analysis of Factors Affecting Wind Power 2.1 Main Influencing Factor 2.2 Spearman Correlation Analysis 3 CNN-BiLSTM Network Structure 3.1 CNN Network 3.2 BiLSTM Network 4 Wind Power Prediction Based on CNN-BiLSTM 4.1 CNN-BiLSTM Prediction Model 5 Example Verification and Result Analysis 5.1 Construction of Sample Set and Training Set 5.2 Prediction Performance Index Selection 5.3 Parameter Settings 5.4 Experimental Process and Result Analysis 6 Conclusion References Fault Arc Detection Method Based on Multi Feature Analysis and PNN 1 Introduction 2 Low Voltage DC Fault Arc Data Acquisition 2.1 Current Signal Acquisition 2.2 Current Waveform Analysis 3 Multi-dimensional DC Arc Fault Characterization 3.1 Fault Arc Statistical Characteristics Analysis 3.2 Based on Mathematical Morphology Filter Fault Arc Characterization 4 Arc Fault Identification Based on Probabilistic Neural Network 4.1 Probabilistic Neural Networks 4.2 Probabilistic Neural Network Fault Arc Identification 5 Analysis of Results 6 Conclusion References Design of AUV Control System Based on BP Neural Network and PID 1 Introduction 2 Underwater Vehicle Structure 3 Control System Design 3.1 Hardware Composition of Control System 3.2 Control System Software Design 4 Design of PID Control Unit Based on BPNN 4.1 BPNN PID Model and Parameter Determination 4.2 BPNN and PID Design 4.3 Algorithm Verification 5 Concluding Remarks References A Multi-channel Fusion Method Based on Tensor for Rolling Bearing Fault Diagnosis 1 Introduction 2 Tensor Theory 2.1 Tensor Algebra 2.2 Tensor Decomposition 2.3 Low Rank Tensor Approximation 3 Multi-channel Fault Diagnosis Method of Bearing Based on Tensor Feature and STM 4 Experiment Verification 5 Conclusion References A Perception Method Based on Point Cloud Processing in Autonomous Driving 1 Introduction 2 Methods Architecture 2.1 Point Cloud Preprocessing 2.2 Sense of Mission 3 Experimental Setup 3.1 Datasets 3.2 RANSCA 3.3 PointPainting 4 Conclusion References Many-Objective Artificial Bee Colony Algorithm Based on Decomposition and Dimension Learning 1 Introduction 2 Artificial Bee Colony Algorithm 3 Proposed Approach 3.1 Decomposition Technology 3.2 New Search Strategy for the Employed Bee Phase 3.3 Dimension Learning for the Onlooker Bee Phase 3.4 Resource Adjustment for the Scout Bee Phase 3.5 Framework of MaOABC-DDL 4 Experimental Results 4.1 Test Problems and Parameter Settings 4.2 Performance Indicators 4.3 Experiments Analysis 5 Conclusion References LCSW: A Novel Indoor Localization System Based on CNN-SVM Model with WKNN in Wi-Fi Environments 1 Introduction 2 Related Work 3 Architecture 4 Proposed Model 4.1 Data Preprocessing 4.2 CNN-SVM Model 4.3 Improved WKNN Algorithm 5 Experimental Evaluation 5.1 Setting 5.2 Model Training 5.3 Localization Performance 6 Conclusion References Large Parallax Image Stitching via Structure Preservation and Multi-matching 1 Introduction 2 Related Work 2.1 Large Parallax Image Stitching Method 2.2 Image Stitching with Complex Multiple Pedestrians 3 Proposed Method 3.1 Overview 3.2 Structure Preservation Based on Grid Constraints 3.3 Composite Ghost Removal Based on Multi-matching 4 Experimental Evaluation 4.1 Qualitative Comparison 4.2 Quantitative Comparison 4.3 Ablation Study 5 Conclusions References Traffic Congestion Event Mining Based on Trajectory Data 1 Introduction 2 Related Work 3 Method 3.1 Traffic Congestion Event Definition 3.2 Calculate the Instantaneous Velocity of Each Trajectory Point 3.3 Match Trajectory Data with Roads' Information 3.4 Calculate the Average Speed of Road 3.5 Traffic Congestion State Recognition 4 Experiments 4.1 Dataset Description 4.2 Data Preprocessing 4.3 Road Average Speed Calculation 4.4 Identify Congestion State 5 Conclusion References Many-Objective Evolutionary Algorithm Based on Dominance and Objective Space Decomposition 1 Introduction 2 Background 3 Proposed Approach 3.1 Motivation 3.2 Tournament Selection Based on Objective Space Decomposition 3.3 Environmental Selection Based on the the Objective Space Decomposition 3.4 Framework of DDMaOEA 4 Experimental Study 4.1 Benchmark Problems and Parameter Settings 4.2 Experimental Results 5 Conclusion References A New Unified Control Approach for Finite-/Fixed-Time Synchronisation of Multi-weighted Dynamical Networks 1 Introduction 2 Preliminaries and Problem Formulations 3 Main Results 4 Numerical Simulations 5 Conclusion References Aperiodic Sampling Based Event-Triggering for Synchronization of Nonlinear Systems 1 Introduction 2 Problem Formulation 3 Main Theorems 3.1 Event-Triggered Synchronization Under Aperiodic Sampling 3.2 Applications to Two Typical Problems 4 Numerical Simulations 5 Conclusion References Two-Stream 3D MobileNetV3 for Pedestrians Intent Prediction Based on Monocular Camera 1 Introduction 2 Related Work 3 System Model 3.1 3D Depthwise Separable Convolution Vs. 3D Standard Convolution 3.2 Two-Stream 3D MobileNetV3 4 Experiments and Results 4.1 Training and Testing Dataset 4.2 Pedestrian Image Enhancement Algorithm 4.3 Performance Analysis 4.4 Parameters and MACs Analysis 5 Conclusion References Design of Portrait System for Road Safety Based on a Dynamic Density Clustering Algorithm 1 Introduction 2 Literature Review 2.1 Algorithms for Security Incident Data Mining 2.2 System Design of Safety Incident Profiling System 3 Methodology 3.1 System for Security Incident Data Mining 3.2 System Design of Safety Incident Profiling System 4 Discussion 4.1 Data Description 4.2 Data Analysis 5 Conclusion References An Ensemble Deep Learning Model Based on Transformers for Long Sequence Time-Series Forecasting 1 Introduction 2 Related Work 2.1 Methods for Demand Forecasting 2.2 Transformer for Forecasting 3 Ensemble Forecasting Model 4 Transformer Based Learners 4.1 Autoformer 4.2 Informer 4.3 Reformer 5 Experiments 5.1 Datasets 5.2 Indicator Metrics 5.3 Experiment Details 5.4 Experiment Results and Analysis 6 Conclusion and Future Work References Multi-layer Integrated Extreme Learning Machine for Mechanical Fault Diagnosis of High-Voltage Circuit Breaker 1 Introduction 2 Mechanical Fault Diagnosis Model Building 2.1 Extreme Learning Machine 2.2 Multi-layer Integrated Extreme Learning Machine 3 Experiment Application 3.1 Operation Experiment of HVCB 3.2 Feature Extraction by VMD 4 Result and Analysis 4.1 Mechanical Fault Identification 4.2 Detection of Unknown Fault 5 Conclusion References Wind Power Forecast Based on Multiple Echo States 1 Introduction 2 Preliminaries 2.1 Echo State Network 3 Chain Echo State Network 4 Experimental Design and Discussion 4.1 Data Source and Performance Measures 4.2 Comparison of CESN and Other Models 5 Conclusion References UAV-Assisted Blind Area Pedestrian Detection via Terminal-Edge-Cloud Cooperation in VANETs 1 Introduction 2 Related Work 3 System Architecture 4 Proposed Algorithm 4.1 System Delay Model 4.2 Adaptive Task Offloading Algorithm 5 Performance Evaluation 5.1 Pedestrian Detection Model Implementation 5.2 Hardware-in-the-Loop Testbed 5.3 Experimental Results 5.4 Case Study in Realistic Environments 6 Conclusion and Future Work References A Survey of Optimal Design of Antenna (Array) by Evolutionary Computing Methods 1 Introduction 2 Antenna Array Design Model 3 Evolutionary Computing Methods for Antenna Array Design 3.1 Classification Based on Array Type 3.2 Classification Based on the Number of Optimization Objectives 3.3 Classification Based on Real World Scenario 4 Benchmark and Simulation 4.1 Linear and Planar Antenna Array Design Benchmark 4.2 Scalability of Benchmark 5 Conclusion References A Span-Based Joint Model for Measurable Quantitative Information Extraction 1 Introduction 2 Related Work 3 The Joint Model for MQI Extraction 3.1 Comparison Relation Recognition 3.2 Measurable Quantitative Information Recognition 3.3 Measurable Quantitative Information Association 4 Evaluation and Results 4.1 Datasets 4.2 Evaluation Metrics 4.3 Results 5 Conclusions References Bayesian Optimization Based Seq2Seq Network Models for Real Estate Price Prediction in Hong Kong 1 Introduction 2 Dataset 3 Methodologies 3.1 Seq2Seq 3.2 The Attention Mechanism 3.3 Bayesian Optimization (BO) 4 Experimental Results 5 Conclusion References Ensemble Learning for Crowdfunding Dynamics: JingDong Crowdfunding Projects 1 Introduction 2 Data Description 3 Data Exploratory Analysis 4 Methodology 4.1 Extra Tree Regression 4.2 Spearman's Correlation Coefficient 5 Experiment and Results 5.1 Correlation Analysis 5.2 Model Adjustment 5.3 Predict Results 5.4 Experimental Results by ETR 6 Conclusions and Future Work References Cage Mass Center Capture for Whirl Analysis Using an Improved MultiResUNet from the Multimodal Biomedical Image Segmentation 1 Introduction 2 Test Rig and Image Processing 2.1 Test Rig 2.2 Image Processing 3 Improved Unet and Hyperparameter Tunning 3.1 Proposed Network 3.2 Hyperparameter Tunning 4 Model Validation and Comparison 4.1 Model Validation 4.2 Comparison with TEMA Motion 5 Conclusion References A Scene Perception Method Based on MobileNetV3 for Bionic Robotic Fish 1 Introduction 2 MobileNetV3 Network Structure 3 Scene Perception Model Based on SIFT-SVM 4 Experiments and Discussion 4.1 Experimental Environment 4.2 Experiment 1: Adjusting Batch Size for the MobileNetV3 Model 4.3 Experiment 2: Adjusting Learningrate for the MobileNetV3 Model 4.4 Experiment 3: The SIFT-SVM 5 Conclusion References Data Enhancement Method Based on Generative Adversarial Network for Small Transmission Line Detection 1 Introduction 2 Previous Work 3 Method 3.1 Generator 3.2 Discriminator 3.3 Loss Function 4 Experiment 4.1 Dataset 4.2 Training Process 4.3 Evaluation Method 4.4 Results 5 Conclusion References Improved Faster R-CNN Algorithm for Transmission Line Small Target Detection 1 Introduction 2 Previous Work 3 Method 3.1 Feature Extraction Network 3.2 Region Proposal Network 3.3 Detection Network 3.4 Loss Function 4 Experiment 4.1 Dataset 4.2 Training Process 4.3 Evaluation Method 4.4 Detection Results 5 Conclusion References An Improved Weighted QMIX Based on Weight Function with Q-Value 1 Introduction 2 Preliminaries 2.1 VDN 2.2 QMIX 2.3 Weighted QMIX 3 The Proposed Method 4 Experiments and Discussion 4.1 SMAC 4.2 Environments 4.3 Result and Discussion 5 Conclusions and Limitations References An Improved Ensemble Classification Algorithm for Imbalanced Data with Sample Overlap 1 Introduction 2 The Proposed Method 2.1 The Steps of the Method 2.2 Generation of the Data Sub-set with Weighted Bootstrap Technique 2.3 Gaussian Perturbation of Data Subset 3 Experiments and Discussion 3.1 Experimental Settings and Performance Measures 3.2 Influence of k Value 3.3 Influence of the Numbers of Classifiers 3.4 Performance 4 Conclusions References Load Forecasting Method for Park Integrated Energy System Considering Multi-energy Coupling 1 Introduction 2 Correlation Analysis Method 3 Multivariate Load Prediction Model 3.1 Gated Recurrent Neural Network 3.2 Attention Mechanism 3.3 GRU Multivariate Load Prediction Model Based on the Attention Mechanism 4 Analysis of Algorithms 4.1 Data Pre-processing and Parameter Setting 4.2 Correlation Analysis 4.3 Analysis of Load Forecasting Results 5 Conclusion References Vehicle Re-identification via Spatio-temporal Multi-instance Learning 1 Introduction 2 Multi-instance Learning 2.1 Introduction of Multi-instance Learning 3 Vehicle Re-identification via Spatio-Temporal Multi-instance Learning 3.1 Construct of the Multi-instance Bag 3.2 Training with Multiple-Instance Bags 4 Experiment Results and Analysis 4.1 Datasets 4.2 Implementation Details 4.3 Ablation Studies 5 Conclusions References Multivariate Time Series Imputation with Bidirectional Temporal Attention-Based Convolutional Network 1 Introduction 2 Methodology 2.1 Notions 2.2 Model Structure 3 Experiments 3.1 Datasets 3.2 Baseline Methods 3.3 Experimental Setup 3.4 Experimental Results 4 Conclusion References Author Index