Intelligent Life System Modelling, Image Processing and Analysis: 7th International Conference on Life System Modeling and Simulation, LSMS 2021 and 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021,

This three-volume set CCIS 1467, CCIS 1468, and CCIS 1469 constitutes the thoroughly refereed proceedings of the 7th International Conference on Life System Modeling and Simulation, LSMS 2021, and of the 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021, held in Hangzhou, China, in October 2021. The 159 revised papers presented were carefully reviewed and selected from over 430 submissions. The papers of this volume are organized in topical sections on: Medical Imaging and Analysis Using Intelligence Computing; Biomedical signal processing, imaging, visualization and surgical robotics; Computational method in taxonomy study and neural dynamics; Intelligent medical apparatus, clinical applications and intelligent design of biochips; Power and Energy Systems; Computational Intelligence in Utilization of Clean and Renewable Energy Resources, and Intelligent Modelling, Control and Supervision for Energy Saving and Pollution Reduction; Intelligent Methods in Developing Electric Vehicles, Engines and Equipment; Intelligent Control Methods in Energy Infrastructure Development and Distributed Power Generation Systems; Intelligent Modeling, Simulation and Control of Power Electronics and Power Networks; Intelligent Techniques for Sustainable Energy and Green Built Environment, Water Treatment and Waste Management; Intelligent Robot and Simulation; Intelligent Data Processing, Analysis and Control in Complex Systems; Advanced Neural Network Theory and Algorithms; Advanced Computational Methods and Applications; Fuzzy, Neural, and Fuzzy-neuro Hybrids; Intelligent Modelling, Monitoring, and Control of Complex Nonlinear Systems; Intelligent manufacturing, autonomous systems, intelligent robotic systems; Computational Intelligence and Applications. Preface Organization Contents – Part I Contents – Part II Contents – Part III Medical Imaging and Analysis Using Intelligent Computing Research on Reconstruction of CT Images Based on AA-R2Unet in Inferior Mesenteric Artery Classification 1 Introduction 2 Model for IMA Segmentation 2.1 Model Set-Up 2.2 Attention Augment 2.3 Parameter Adjustment in Focal Loss 3 Results and Performance Comparison 3.1 Dataset 3.2 Experiments 4 Conclusion and Future Work References Research on CT Image Grading of Superior Mesenteric Artery Based on AA Res-Unet 1 Introduction 2 Methods 2.1 Attention Augment 2.2 AA Res-Unet 2.3 Loss Function 2.4 Image Classification 3 Experiments And Results 3.1 Dataset 3.2 Experimental Result 4 Conclusion and Future Work References Endoscopic Single Image Super-Resolution Based on Transformer and Convolutional Neural Network 1 Introduction 2 Related Work 2.1 Single-Image Super-Resolution 2.2 Transformer for Vision 3 Proposed Method 3.1 Texture Extraction and Migration 3.2 Texture Synthesis 4 Experiments 4.1 Datasets 4.2 Implement Detail 4.3 Image Evaluation Standard 4.4 Results of Blood Vessel Texture Reconstruction 5 Conclusion References Facial Video-Based Remote Heart Rate Measurement via Spatial-Temporal Convolutional Network 1 Introduction 2 Related Work 3 Spatial-Temporal Network Based HR Measurement 3.1 Face Tracking and Skin Segmentation 3.2 Spatial-Temporal Network 3.3 HR Estimation 4 Experiments 4.1 Dataset 4.2 The Ground Truth Signal 4.3 Model Learning 4.4 Evaluation 5 Conclusion References Retinal Vessel Segmentation Network Based on Patch-GAN 1 Introduction 2 The Proposed Patch-GAN 2.1 Network Architecture 2.2 Loss Function 3 Experimental Results 3.1 Datasets 3.2 Evaluation Criteria 4 Conclusion References Research of Medical Image Registration Based on Characteristic Ball Constraint in Conformal Geometric Algebra 1 Introduction 2 Basic Theory and Calculation of Conformal Geometric Algebra 3 Geometric Feature Constraints Based on Conformal Geometric Algebraic Space 4 Experiment and Result Analysis 4.1 Data Source 4.2 Image Preprocessing 4.3 Locating Feature Points 4.4 Registration Result 4.5 Registration Speed 5 Conclusion References Geometric Transformation Image Registration Based on Discrete Feature Point Fitting 1 Introduction 2 Mathematical Theory and Calculation Method 2.1 Mass Moment of Inertia 2.2 Geometric Algebra 3 Image Preprocessing 3.1 Two Dimensional Image Edge Extraction 3.2 3D Modeling of Contour 4 Discrete Feature Points Extraction and Linear Fitting 5 Experimental Results and Analysis 6 Conclusion References Biomedical Signal Processing, Imaging, Visualization and Surgical Robotics The Feasibility of Prosthesis Design with Gradient Porous Structural 1 Introduction 2 Design of Non-uniform Porous Femoral Prosthesis 2.1 FE Modeling 2.2 Stress Analysis and Optmization 2.3 Results 3 Conclusions References Evaluation of Fatigue Based on Reaction Time and fNIRS of RSVP Small Target Detection 1 Introduction 2 Materials and Methods 2.1 Subjects 2.2 Experimental Paradigm 2.3 Data Acquisition 2.4 Data Processing 3 Result 3.1 Subjective Evaluation Result 3.2 Behavioral Result 3.3 Analysis Result of fNIRS Data 4 Discussion 5 Conclusion References Multi-label Diagnosis Algorithm for Arrhythmia Diseases Based on Improved Classifier Chains 1 Introduction 2 Method 2.1 Dataset and the Process of ECG 2.2 Deep Neural Network 2.3 Classifier Chains 3 Experiment 3.1 Evaluation Metrics 3.2 Result of Pre-trained Model 3.3 Compare with the Other Classifier 3.4 Compared with Other Method 4 Summary References Support Vector Machine Classification Method Based on Convex Hull Clipping 1 Introduction 2 Constructing Convex Hull Method 2.1 Pretreating the Sample Set 2.2 Determining Convex Hull Edge End Point Method 2.3 Constructing Convex Hull Method 3 Classification Method 3.1 Support Vector Machine 3.2 Selecting Boundary Sample 4 Experiment Result 4.1 Linear Separable Experiment 4.2 Non-linear Separable Experiment 4.3 Practical Application Experiment 5 Conclusion References Surface EMG Real-Time Chinese Language Recognition Using Artificial Neural Networks 1 Introduction 2 Sensors and Data Acquisition 2.1 Sensors and Dataset 3 Methodology 3.1 Pre-processing 3.2 Feature Extraction 3.3 Classification 3.4 Post-processing 4 Performance of the Proposed Model 4.1 Real-Time Response 4.2 Comparison with Other Models 5 Conclusion References Melanoma Classification Method Based on Ensemble Convolutional Neural Network 1 Introduction 2 Methodology 2.1 Data Preprocessing 2.2 Data Augmentation 2.3 Loss Function 2.4 Train Method 3 Experiments and Results 3.1 The Xception Architecture 3.2 The Vgg-16 Architecture 3.3 Ensemble Model 4 Conclusion References A Study of Force Feedback Master-Slave Teleoperation System Based on Biological Tissue Interaction 1 Introduction 2 Teleoperation System Construction and Force Interaction Strategy 2.1 Teleoperation Platform Construction 2.2 Force Interaction Strategy and Control Strategy 3 Experimental Validation of Teleoperation System 3.1 Trajectory Tracking Experiment 3.2 Force Feedback Experiment 3.3 Practical Application Experiment of Force Feedback Teleoperation Platform 4 Conclusion References Image Enhancement and Corrosion Detection for UAV Visual Inspection of Pressure Vessels 1 Introduction 2 Overview of the System 3 Image Enhancement 4 Contour Detection 5 Corrosion Detection Under Cluttered Environment 6 Conclusion References Computational Method in Taxonomy Study and Neural Dynamics PF-OLSR Routing Algorithm for Self-organizing Networks of Pigeon Flocks 1 Introduction 2 Disadvantages Analysis of OLSR Protocol 3 Improved PF-OLSR Protocol for Pigeon Flocks’ Characteristics 4 Model Construction and Simulation 5 Conclusions References Design of Mechanical Property Verification System for Drug Dissolution Meter Based on Non-contact Measurement 1 Introduction 2 Non-contact Measurement Method 3 Design of Measuring System 4 Experiment and Result 5 Conclusion References Classification of Coronary Artery Lesions Based on XGBoost 1 Background Introduction 1.1 Artificial Intelligence and Medical Big Data 1.2 Coronary Artery Disease 1.3 Gensini Scoring 2 Method 2.1 GBDT 2.2 XGBoost Arithmetic 3 Case Study 3.1 Dataset Introduction 3.2 Data Preprocessing 3.3 Experimental Analysis 4 Conclusion References Application of a New Attribute Reduction Algorithm in Intracranial Aneurysm Prediction 1 Introduction 2 Related Theory 2.1 Neighborhood Rough Set 2.2 Chi-Square Test and Gradient Boosting Decision Tree 3 Attribute Reduction Algorithm of Neighborhood Rough Set Based on Chi-Square Test 3.1 Description of the Main Idea of the Algorithm 3.2 UCI Data Set Validation 4 Prediction of Intracranial Aneurysm 4.1 Experimental Data Set and Evaluation Criteria 4.2 Evaluation of the Effect of the Classifier Model 5 Conclusion References Constrained Adversarial Attacks Against Image-Based Malware Classification System 1 Introduction 2 Problem Description 2.1 Preliminaries on the Model 2.2 Attack Strategy Against Model 3 Attack Target and Method 3.1 Model Training 3.2 Adversarial Samples Crafting 4 Results and Evaluation 4.1 Conclusions References Intelligent Medical Apparatus, Clinical Applications and Intelligent Design of Biochips Inelastic Modelling of Bone Damage Under Compressive Loading 1 Introduction 2 Experimental Observations 3 Constitutive Model Development 4 Experimental Verification 5 Discussion 6 Conclusion References Pedestrian Detection Based on Improved YOLOv3 Algorithm 1 Introduction 2 Network Structure of 2 YOLOv3 Algorithms 2.1 Overall Network Structure 2.2 Feature Extraction Network Layer 2.3 ResNet 3 YOLOv3 Algorithm Adds Preprocessing Network Layer 3.1 Improved HOG Algorithm 3.2 Feature Extraction Base on Improved HOG and DarkNet-53 4 Dimension Clustering of Target Box in YOLOv3 Algorithm 5 Design Experiment 6 Analysis of Experimental Results 7 Conclusions References Improved One-Stage Algorithm with Attention Fusion for Human Sperm Detection Based on Deep Learning 1 Introduction 2 Materials and Method 2.1 Dataset and Settings 2.2 The Structure of the Proposed Network 2.3 The Abstraction of Correlation of Deep Feature Module 2.4 Target Dropout 3 Result 4 Conclusion 5 Future Work References Simulation of Pedicle Screw Extraction Based on Galerkin Smooth Particle Meshless Method 1 Introduction 2 Material and Method 2.1 Modeling 2.2 Material Properties 2.3 Boundary and Loading Conditions 2.4 Mesh Convergence Test 2.5 Validation 3 Results 3.1 Mesh Convergence Test 3.2 Validation 4 Discussion References Human Grasping Force Prediction Based on Surface Electromyography Signals 1 Introduction 2 Materials and Methods 2.1 Experimental Protocol 2.2 Data Preprocessing 2.3 Feature Extraction 3 Classifier 4 Results 4.1 Recognition Accuracy 4.2 Classification Models 4.3 Sliding Windows Size 5 Discussion 6 Conclusion References Stroke Identification Based on EEG Convolutional Neural Network 1 Introduction 2 Materials 2.1 Subjects 2.2 Experimental Paradigm 2.3 Data Collection and Preprocessing 3 Method 3.1 Analysis of PSD 3.2 Spatial Filtering Brain Topographic Map 3.3 EEG Convolutional Neural Network 4 Results and Discussion 5 Conclusion References Classification of LFPs Signals in Autistic and Normal Mice Based on Convolutional Neural Network 1 Introduction 2 Materials and Methods 2.1 Subjects 2.2 Data Acquisition 2.3 Statistical Analysis 2.4 Model and Training 3 Results and Discussion 3.1 Statistical Analysis Results 3.2 Classification Results of the Model 4 Conclusion References Based on Advanced Connected Domain and Contour Filter for CASA 1 Introduction 2 Advanced connected domain algorithm 3 Contour Filter for Sperm 4 Experiment and Result 4.1 Data Preparing and Experiment Setting 4.2 Experiment Result 4.3 Data Analysis 5 Conclusion References Investigation of Wear Amounts on Artificial Hip Joints with Different Femoral Head Diameter 1 Introduction 2 Methods and Results 2.1 Mathematical Model for Hip Prosthesis Wear Assessment 2.2 Wear of Different Femoral Head Diameters 2.3 Results and Disscussion 3 Conclusion References Author Index