Intro
Preface
Organization
Contents - Part IV
Compliant Mechanisms and Robotic Applications
Active Control of Chatter for Five-Axis Milling Based on Piezoelectric Actuator
1 Introduction
2 Design of Active Chatter Control Device
2.1 Active Chatter Control Device for Five-Axis Milling
2.2 Dynamic Model of the Control Device
2.3 Dynamic Model of Five-Axis Milling
3 Design and Simulation of Fuzzy PD Controller
3.1 The Structure of Active Control System
3.2 Simulation of Control Systems
4 Active Control Experiment of Milling Chatter
5 Conclusions
References
A Robot-Assisted System for Dental Implantation
1 Introduction
2 Materials and Methods
2.1 A Subsection Sample
2.2 Selection of the Optical Positioning System
2.3 Selection of the Control System
2.4 Application Process of the Robot-Assisted Dental Implant Implantation System
3 Kinematics Analysis of the Robot-Assisted Dental Implant System
3.1 Forward Kinematics Analysis
3.2 Inverse Kinematics Analysis
4 Coordinate System Conversion and Trajectory Planning
4.1 Coordinate System Transformation
4.2 Trajectory Planning
5 Conclusion and Future Studied
References
Tri-axial Motion Sensing with Mechanomagnetic Effect for Human-Machine Interface
1 Introduction
2 Principle of Mechanomagnetic Sensing
2.1 Bioinspired Design
2.2 Mechanomagnetic Sensing and Parameter Optimization
3 Experimental Validation
3.1 Sensor Performance and Model Calibration
3.2 Illustrative Application to HMI
4 Conclusion
Appendix
Fabrication of Magnetic Film
Fabrication of Elastic Layer and Sensor Assembling
References
Flexible or Continuum Robots in Clinical Context
Model Predictive 6D Image-Based Visual Servoing for 3C Products Assembly
1 Introduction.

2 System Description and Problem Statement
2.1 Depth Problem
2.2 Local Optimal Solution
3 Model Predictive Image-Base Visual Servoing for Six-DOF Robot Arm
3.1 Model Predictive Control
3.2 Depth Constraint
3.3 Punishment for the Local Optimal Solution
4 Simulations
4.1 Simulation Environment
4.2 Simulation of Depth Constrain Problems
4.3 Simulation of the Local Optimal Solution
5 Conclusion
References
3D Visual Servo Control of a Flexible Endoscope with RCM Constraint
1 Introduction
2 Kinematic Modelling
3 3D Visual Tracking Scheme
3.1 Classical Image-Based Visual Servo for Monocular Camera
3.2 Stereo Vision and 3D Visual Servoing Framework
4 Control Framework with RCM Constraint
4.1 Algorithm-Based RCM Constraint
4.2 Control Framework for 3D Visual Servo with RCM Constraint
5 Simulation Validations
6 Conclusion
References
Automated Vein Segmentation from NIR Images Using a Mixer-UNet Model
1 Introduction
2 Research Methods
2.1 Venipuncture Robotic System
2.2 Automated Vein Segmentation from NIR Images
3 Experiments and Results
3.1 Experiments
3.2 Results
4 Conclusions
References
A Novel Cable-Driven Manipulator with Constant-Curvature Deflections and Equal Displacements of the Antagonistic Cables
1 Introduction
2 Modeling
2.1 Structure
2.2 Kinematic Modeling
2.3 Simplification of Mapping Between Cable Length Change and Segment Angle
3 Motion Analysis
3.1 Working Space
3.2 The Linear Mapping Between Cable Length and Segment Angle
4 Experiment
5 Conclusion
References
Vessel Site Selection for Autonomous Cannulation Under NIR Image Guidance
1 Introduction
2 Methods
2.1 Mechanical System
2.2 Data Composition
2.3 Image Preprocessing
2.4 Image Post-processing
2.5 Vessel Site Selection.

3 Experiments and Results
4 Conclusions
References
Data Processing and Image Analysis
Open-Set Fault Diagnosis Method for Industrial Process Based on Semi-supervised Learning
1 Introduction
2 Distribution Alignment
3 Open-Set Semi-supervised Process Fault Diagnosis Strategy Based on Uncertainty Distribution Alignment
4 Experiment
4.1 Numerical Simulation
4.2 Tennessee-Eastman Process
5 Conclusions
References
The Geometric Transformation Model of Two Views Based on the Line-Scan Camera Imaging Model
1 Introduction
2 The Geometric Transformation Model of Linear Array Image
2.1 The Imaging Model of Line-Scan Camera
2.2 The Geometric Transformation Model of Two Views for Line-Scan Camera
3 Verification Method of the Geometric Transformation Model of Linear Array Image
3.1 Verification Method
3.2 Experimental Data
4 Experimental Results
5 Conclusion
References
Group Sparsity Regularized High Order Tensor for HSIs Super-Resolution
1 Introduction
2 Preliminaries
3 Model
4 Algorithm
5 Experiments
5.1 Dataset
5.2 Compared Methods and Evaluation Indexes
5.3 Qualitative and Quantitative Results
6 Conclusion
References
Bearing Fault Diagnosis Method Based on Multi-sensor Feature Fusion Convolutional Neural Network
1 Introduction
2 Flowchart of the Proposed Model
2.1 Dilated Convolution Block
2.2 Multi-layer Fusion Network
2.3 Attention Fusion Network
2.4 Network Parameter Settings
3 Experimental Verification
3.1 Experimental Platform Setup for Data Acquisition
3.2 Performance Analysis of Different Sensor Signals
3.3 The Accuracy of Time Domain and Frequency Domain Signals
3.4 Network Visualization
3.5 Attention Fusion Network Analysis
3.6 Comparisons of Different Methods
4 Conclusion
References.

Effect of Foot Shape on Walking Performance of a Biped Robot Controlled by State Machine
1 Introduction
2 Simulation Model
2.1 Robot Model
2.2 Foot Shape
3 Control Method
3.1 Control Framework
3.2 Low-Level Controllers
4 Result
4.1 Walking Performance
4.2 Walking Gait
4.3 Discussion
5 Conclusion
References
Research on Part Image Segmentation Algorithm Based on Improved DeepLabV3+
1 Introduction
2 DeepLabV3+ Model
3 Improved DeepLabV3+ structure
3.1 Channel Attention
3.2 Adaptive Spatial Feature Fusion
3.3 Asymmetric Convolution
4 Experimental
4.1 Experimental Platform and Parameter
4.2 Datasets and Evaluation Metrics
4.3 Comparison of Results from Different Algorithms
5 Conclusion
References
Multiple Object Tracking by Joint Head, Body Detection and Re-Identification
1 Introduction
2 Related Work
2.1 Tracking-By-Detection MOT Approaches
2.2 Joint-Detection-and-Tracking MOT Approaches
2.3 Head Detection and Tracking
3 HBR: Joint Head, Body Detection and Re-ID Model
3.1 Backbone Network
3.2 Head and Body Detection
3.3 Re-ID Task
3.4 Total Loss of Training
3.5 Online Association and Tracking
4 Experiments
4.1 Datasets and Metrics
4.2 Implementation Details
4.3 Evaluation on MOT Challenge
5 Summary and Future Work
References
Recognition of Blinding Diseases from Ocular OCT Images Based on Deep Learning
1 Introduction
2 Related Research
3 Method
3.1 Crop and Adjust the Volume
3.2 Data Enhancement
3.3 Inception V3 Model
4 Experiment General Overview
4.1 Data Sets
4.2 Process and Result
4.3 Comparative Experiment
5 Conclusion
References
CTooth: A Fully Annotated 3D Dataset and Benchmark for Tooth Volume Segmentation on Cone Beam Computed Tomography Images
1 Introduction.

2 CTooth Dataset: Fully Annotated Cone Beam Computed Tomography Tooth Dataset
2.1 Dataset Summary
2.2 Expert Annotation
3 Attention-Based Tooth Volume Segmentation
3.1 Framework Design
3.2 Loss Function
4 Experiments and Results
4.1 Evaluation Metrics on the CTooth
4.2 Experimental Results
5 Conclusion
References
DU-Net Based Unsupervised Contrastive Learning for Cancer Segmentation in Histology Images
1 Introduction
2 Methods
2.1 Data Augmentation
2.2 Network Structure
2.3 Post-processing
3 Experiments
3.1 Dataset
3.2 Preprocessing
3.3 Network Training Details
3.4 Post-processing
3.5 Result Evaluation
4 Conclusions
References
Dual Path DNN Based Heterogenous Reference Image Quality Assessment via Decoupling the Quality Difference and Content Difference
1 Introduction
2 Related Works
2.1 DNN Based Blind Image Qquality Assessment
2.2 IQA Using Similar Scene as Reference
3 Proposed Methods
3.1 Quality Difference Invariance and Content Difference Invariance
3.2 Implementation Details and Training Pipeline
3.3 Training Sample Generating Procedure
4 Experiments
4.1 Preconditions
4.2 Performance Comparison
4.3 Ablation Experiments
5 Conclusion
References
Automatic Segmentation of Kidney Computed Tomography Images Based on Generative Adversarial Networks
1 Introduction
2 Materials and Methods
2.1 SegKGAN Architecture
2.2 Objective Function
2.3 Experimental Configuration and Evaluation Criteria
3 Result
3.1 Qualitative Evaluation
3.2 Quantitative Evaluation
4 Conclusion
References
Engineering Drawing Manager: A Smart Data Extractor and Management Software
1 Introduction
2 Overview of ED Manager
2.1 Software Framework
2.2 Workflow of Information Processing Layer
3 Key Algorithms.