Preface
Organization
Contents – Part I
Contents – Part II
Award
Broad Learning System Based on Fusion Features
1 Introduction
2 Related Work
2.1 Multimodal Fusion
2.2 Transfer Learning
2.3 Canonical Correlation Analysis
2.4 Broad Learning System
3 Broad Learning Based on Fused Features
3.1 Methodology Overview
3.2 ResNet Extraction of Features
3.3 Fusion and Classification of Features
4 Experimental Results and Analysis
4.1 Experimental Dataset
4.2 Experimental Results
5 Conclusion
References
Multi-brain Collaborative Target Detection Based on RAP
1 Introduction
2 Materials
2.1 Subjects
2.2 Experimental System
2.3 Experimental Paradigm
3 Methods
3.1 Data Preprocessing
3.2 Feature Extraction
3.3 Classification Method
3.4 Multi-brain Information Fusion Strategy
4 Results
4.1 Performance Evaluation Indicators
4.2 Signal Visualization
4.3 Experimental Results
4.4 Factors Affecting Model Performance
5 Discussion
6 Conclusion
References
Lidar-Inertial SLAM Method for Accurate and Robust Mapping
1 Introduction
2 Related Works
2.1 Loosely-Coupled LiDAR-IMU Odometry
2.2 Tightly-Coupled LiDAR-IMU Odometry
2.3 Ground Point Constraints
2.4 Loop Closure Detection
3 The Framework
3.1 Overview of Proposed Framework
3.2 Feature Extraction Module and Its Ground Segmentation
3.3 Loop Closure Detection Module
4 Experiment
4.1 Results of Ground Point Segmentation Optimization
4.2 Analysis of the Trajectory Optimization Results
4.3 Experimental Results in the Campus Environment
5 Conclusion
References
Interictal EEG Based Prediction of ACTH Efficacy in Infantile Epileptic Spasms
1 Introduction
2 Data Collection
2.1 Subject Identification
2.2 EEG Recordings
3 Methods
3.1 Power Spectral Density (PSD)
3.2 Permutation Entropy (PEN)
3.3 Statistical Analysis and Models
4 Results and Discussions
4.1 IS Medication Effect Statistical Analysis
4.2 IS Medication Effect Prediction Model
5 Conclusions
References
CCA-MTFCN: A Robotic Pushing-Grasping Collaborative Method Based on Deep Reinforcement Learning
1 Introduction
2 Related Work
2.1 Grasping Method
2.2 Pre-grasp Manipulation
3 Method
3.1 Observation Space and Action Space
3.2 MTFCN
3.3 CCA Reward System
3.4 Training Method
4 Experiments
4.1 Simulation Setup
4.2 Evaluation Metrics
4.3 Results and Discussion
4.4 Ablation Study
5 Conclusion
References
6-DoF Grasp Planning on Point Cloud for Human-to-Robot Handover Task
1 Introduction
2 Related Work
2.1 Object Detection
2.2 Grasp Planner
3 Proposed Method
3.1 Scene Understanding
3.2 Grasp Configuration Generation
4 Experiments
4.1 Experimental Preparation
4.2 Experimental Results
5 Conclusions
References
Leg Detection for Socially Assistive Robots: Differentiating Multiple Targets with 2D LiDAR
1 Introduction
2 DW-SVDD Leg Detector
2.1 Density Weighted Support Vector Data Description
2.2 DW-SVDD Leg Detection Algorithm
2.3 Socially Assistive in Multiplayer Scenarios
3 Self-collected Dataset
3.1 Overview
3.2 Training Dataset
4 Experiments of Leg Detection
4.1 SVDD Leg Detector vs DW-SVDD Leg Detector
4.2 DW-SVDD Leg Detector in Real-Time Robot Platform
4.3 Leg Detection in CLEAR MOT Metrics
5 Conclusion
References
Image Compressed Sensing Reconstruction via Deep Image Prior with Feature Space and Texture Information
1 Introduction
2 Compressed Sensing Theory
3 Dual-Path Deep Compressive Sensing Image Reconstruction Network
3.1 Sampling and Initial Reconstruction of the Network
3.2 Feature Space Information Flow and Texture Path Construction Module
4 Network Learning and Optimization
4.1 Loss Function
4.2 Network Optimization
5 Experimental Results and Analysis
5.1 Experimental Setup
5.2 Evaluation of FSITM-Net
5.3 Comparison with Other Advanced Methods
5.4 Texture Separation in the CS Domain
5.5 Sensitivity to Noise
6 Conclusion
References
Multi-objective Optimization Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles During Vehicle Following
1 Introduction
2 Modelling of Longitudinal Dynamics and Power Sources
2.1 Vehicle Longitudinal Dynamics Model
2.2 Fuel Cell Degradation Model
2.3 Lithium Battery Degradation Model
3 Construction of Multi-objective Optimization Function in the Following Vehicle Scenarios
3.1 Driving Safety Function
3.2 Driving Comfort Function
3.3 Fuel Economy Function
3.4 Power Sources Durability Function
3.5 Optimizing Algorithm for MPC
4 Simulation and Analysis
4.1 Simulation Results and Analysis
5 Conclusion
References
Pointwise-Measurement-Based Event-Triggered Synchronization of Reaction-Diffusion Neural Networks
1 Introduction
2 Problem Description and Preliminaries
2.1 System Description
2.2 Event-Triggered Mechanism
3 Main Result
4 Simulation Analysis
5 Conclusion
References
An Improved Image Super-Resolution Algorithm for Percutaneous Endoscopic Lumbar Discectomy
1 Introduction
2 Related Works
2.1 Image Super-Resolution
2.2 GAN
2.3 SRGAN
2.4 Dense Convolutional Networks
2.5 Activation Functions
3 Network Structure
4 Experiments Verification
4.1 Datasets and Pre-processing
4.2 Implementation Details
4.3 Evaluation Metrics
4.4 Quantitative Performance Evaluation
4.5 Ablation Study
4.6 Qualitative Performance Evaluation
5 Conclusion
References
Algorithm and Control
KGRL: A Method of Reinforcement Learning Based on Knowledge Guidance
1 Introduction
2 Preliminary
2.1 Policy Based Reinforcement Learning
2.2 Fuzzy Logic and Fuzzy Rules
3 Method
3.1 Defining Fuzzy Rules
3.2 Knowledge Guidance Module
4 Experiment
4.1 Experiment Setup
4.2 Ablation Experiment
5 Conclusion
References
Terminal Sliding Mode Control of DC-DC Buck Converter Based on Disturbance Observer
1 Introduction
2 Mathematical Model of DC–DC Buck Converter System
3 Design of Disturbance Observer
4 Terminal Sliding Function Design
5 Simulation and Experimental Results
5.1 Simulation Results
5.2 Experimental Results
6 Conclusion
References
Distributed Dynamic Process Monitoring Based on Maximum Correlation and Maximum Difference
1 Introduction
2 Related Work
2.1 Dynamic Principal Component Analysis
2.2 Kullback Leibler Divergence and Mutual Information
3 Proposed Method
3.1 Maximum Correlation Maximum Difference
3.2 Monitoring Scheme
3.3 Fusion Strategy
4 Case Study
5 Conclusion
References
Simplification of Extended Finite State Machines: A Matrix-Based Approach
1 Introduction
2 Preliminaries
2.1 Extended Finite State Machine
2.2 The Semi-Tensor Product (STP)
3 Main Results
3.1 EFSMs State Transition Dynamic System Model
3.2 Simplification of Extended Finite State Machines
4 Illustrative Example
5 Conclusion
References
Lane Change Decision Control of Autonomous Vehicle Based on A3C Algorithm
1 Introduction
2 Related Works
3 Methods
3.1 A3C Algorithm
3.2 A3C Algorithm Improvement
3.3 Parameter Setting
4 Results
4.1 Verification of Universality
4.2 Verification of Superiority
5 Conclusion
References
Image Encryption Algorithm Based on Quantum Chaotic Mapping and Wavelet Transform
1 Introduction
2 Theoretical Foundation
2.1 Quantum Chaotic Mapping
2.2 Lorenz Hyper Chaos
2.3 Discrete Wavelet Transform
3 Encryption Algorithm
3.1 Initialization of the Chaotic System
3.2 Encryption Process
4 Simulation Results and Analysis
4.1 Simulation Results
4.2 Histogram Analysis
4.3 Correlation Analysis of Adjacent Pixels
4.4 Differential Attack Analysis
4.5 Information Entropy Analysis
4.6 Key Space Analysis
4.7 Encryption Speed Analysis
5 Conclusions
References
Physics-Informed Neural Network Surrogate Modeling Approach of Active/Passive Flow Control for Drag Reduction
1 Introduction
2 Modeling and Discretization
2.1 Governing Partial Differential Equations
2.2 Boundary Conditions and Flow Control
2.3 Discretization of Governing Equations and B.C.
3 Numerical Method and Datasets
3.1 Galerkin-Based PDEs Solver
3.2 Data Sampling
4 Physics Informed Neural Network Surrogate Modeling
4.1 The Physics Constrained ANN Design
4.2 Optimization Process
4.3 Experiments
5 Conclusion
References
Model Following Adaptive Control of Links for the Complex Dynamical Network via the State Observer
1 Introduction
2 Model Description
3 Design the Asymptotical State Observer for LS
4 Main Results
5 Numerical Simulation Example
6 Conclusion
References
Gaussian Process Based Stochastic Model Predictive Control of Linear System with Bounded Additive Uncertainty
1 Introduction
2 Time-Varying Tube-Based SMPC
3 SMPC Using Gaussian Process Regression
3.1 Gaussian Process Regression
3.2 GP Model of Uncertainty
3.3 Adaptive Constraints
3.4 Gaussian Process Based SMPC
4 Numerical Simulation
5 Conclusion
References
Observer-Based Nonsingular Terminal Sliding Mode Guidance Law with Fixed-Time Convergence
1 Introduction
2 Problem Formation and Preliminaries
2.1 Problem Statement
2.2 Fixed-Time Stability
3 Guidance Law Design
3.1 A Fixed-Time Disturbance Observer
3.2 Non-singular Fixed Time Guidance Law
4 Simulation Results
5 Conclusions
References
Application
FAANet: Feature-Augmented Attention Network for Surface Defect Detection of Metal Workpieces
1 Introduction
2 Related Work
2.1 U-Net
2.2 Efficient Channel Attention
3 Proposed Method
3.1 Feature Augmentation Module
3.2 Integrated ECA Networks
3.3 Loss Function
4 Experiment
4.1 Experimental Environment and Evaluation Metrics
5 Results and Analysis
6 Conclusion
References
A Novel TCM Prescription Recommendation Algorithm Based on Deep Crossing Neural Network
1 Introduction
2 TCM Prescription Recommendation Model
2.1 Model Application Scenarios
2.2 TCM Prescription Recommendation Model
2.3 Model Algorithm Design and Analysis
3 Experiment
3.1 Data
3.2 Experimental Settings
3.3 Results and Discussion
4 Conclusion
References
Robust Real-Time Optimized LiDAR Odometry with Loop Closure Detection
1 Introduction
2 Related Works
2.1 LiDAR Odometry
2.2 Dynamic Data Structure in SLAM
2.3 Loop Closure Detection
3 Methodology
3.1 System Overview
3.2 Map Management Based on Ikd-Tree
3.3 Loop Closure Detection and Global Optimization
4 Experiments
4.1 Datasets and Experimental Settings
4.2 Time Cost
4.3 Evaluation on Public Dataset
5 Conclusion
References
Machine Anomalous Sound Detection Based on Feature Fusion and Gaussian Mixture Model
1 Introduction
2 Detailed Description of Proposed Method
2.1 Feature Extraction
2.2 Classifier Architecture
2.3 Anomaly Score Calculation
3 Experimental Evaluation
3.1 Dataset
3.2 Training Details
3.3 Evaluation Metrics
3.4 Comparison of Anomaly Score Calculation Methods
3.5 Performance Comparison
4 Conclusion
References
PSO-BP Neural Network-Based Optimization of Automobile Rear Longitudinal Beam Stamping Process Parameters
1 Introduction
2 Model Settings
2.1 Establishment of 3D Models
2.2 Finite Element Model Settings
3 Finite Element Simulation
3.1 Orthogonal Experimental Design
3.2 GS Theoretical Analysis
4 Optimization Analysis and Discussion
4.1 Establishment of PSO-BP Neural Network Model
4.2 PSO-BP Neural Network Model Parameter Optimization
5 Discussion
6 Conclusion
References
End-to-End Automatic Parking Based on Proximal Policy Optimization Algorithm in Carla
1 Introduction
2 Related Works
3 Modeling and Simulating Environments
3.1 Kinematic Model of the Vehicle
3.2 Simulation Environment
4 Methodologies
4.1 PPO
4.2 States and Actions
4.3 Reward Function
4.4 Network Structure
5 Experimental Verification
5.1 Hyperparameters
5.2 Experimental Setup
5.3 Vertical Parking Experiment
5.4 Parallel Parking Experiment
6 Conclusion
References
A Deep Reinforcement Learning-Based Energy Management Optimization for Fuel Cell Hybrid Electric Vehicle Considering Recent Experience
1 Introduction
2 Power System Model of Multi-energy Source Fuel Hybrid Electric Vehicle
2.1 System Configuration of Fuel Cell Hybrid Electric Vehicle
2.2 Fuel Cell Model
2.3 Battery Model
2.4 Supercapacitor Model
3 Deep Reinforcement Learning
3.1 DDPG Algorithm Based on Markov Decision Process
3.2 Experience Replay and Related Work
3.3 Experience Extraction with Emphasis on Recent Experience
4 EMS for FCHEV
4.1 Fuzzy Based Adaptive Low-Pass Filter
4.2 Construction of Transition Probability Matrix
4.3 Construction of Reward Function
4.4 Construction of DDPG Parameters Based on FCHEV
5 Simulation and Analysis
6 Conclusion
References
State of Charge Estimation of Lithium-Ion Battery Based on Multi-Modal Information Interaction and Fusion
1 Introduction
2 Experimental Principles
2.1 UKF
2.2 BPNN
2.3 Multi-modal Information Interaction and Fusion BPNN
3 Experimental Process
3.1 UKF Estimation of Battery SOC
3.2 BPNN Estimates the Battery SOC
3.3 The MMI-BPNN Estimates the Battery SOC
3.4 Chapter Summary
4 Error Analysis of Experimental Results
5 Summary and Prospect
References
Sperm Recognition and Viability Classification Based on Artificial Intelligence
1 Introduction
2 Preparation of Experimental Samples
3 Method
3.1 Sperm Detection Based on Yolov5
3.2 Multiple Sperm Tracking
3.3 Sperm Activity Grading Based on Motility Parameters
4 Indicator Parameters
4.1 Evaluation Metrics for Detection Network
4.2 Evaluation Metrics for Tracking Models
5 Experiments and Analyses
5.1 Experimental Hardware Configuration
5.2 Target Detection Experiment
5.3 Target Tracking Experiment
5.4 Sperm Activity Classification
6 Conclusion and Outlook
References
GANs-Based Model Extraction for Black-Box Backdoor Attack
1 Introduction
2 Related Work
2.1 Backdoor Attacks
2.2 Black-Box Attacks
2.3 Model Extraction
3 Approach
3.1 Model Extraction Based GANs
3.2 Loss Function in Black-Box Scenario
3.3 Backdoor Attack
4 Experimental Results
5 Conclusion
References
Author Index