Bio-Inspired Computing: Theories and Applications: 17th International Conference, BIC-TA 2022, Wuhan, China, December 16–18, 2022, Revised Selected Papers

Description

This book constitutes the refereed proceedings of the 17th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2022, held in Wuhan, China, during December 16–18, 2022. The 56 full papers included in this book were carefully reviewed and selected from 148 submissions. They were organized in topical sections as follows: evolutionary computation and swarm intelligence; machine learning and deep learning; intelligent control and simulation and molecular computing and nanotechnology. Preface Organization Contents Evolutionary Computation and Swarm Intelligence Surrogate Model-Assisted Evolutionary Algorithms for Parameter Identification of Electrochemical Model of Lithium-Ion Battery: A Comparison Study 1 Introduction 2 Problem Description 2.1 Pseudo-Two-Dimensional Model 2.2 Objective Function 3 Surrogate Model-Assisted DE 3.1 General Framework 3.2 Surrogate Models 3.3 DE 4 Results and Discussion 4.1 Simulation Settings 4.2 Result Analysis 5 Conclusion References Research on Multi-modal Multi-objective Path Planning by Improved Ant Colony Algorithm 1 Introduction 2 Related Works 2.1 MMOPP Example 2.2 Research on MMOPP Problems 3 Problem Description 4 Proposed Approach 4.1 Matrix Pre-processing 4.2 Initial Pheromone Assignment Based on Dijkstra Algorithm 4.3 Select the Next Node According to the State Transition Rules 4.4 Update Pheromone 5 Experimental Results 6 Conclusions References Local Path Planning Algorithm Designed for Unmanned Surface Vessel Based on Improved Genetic Algorithm 1 Introduction 2 Improved Genetic Algorithm 2.1 Standard Particle Swarm Optimization 2.2 Standard Particle Swarm Optimization 2.3 Standard Particle Swarm Optimization 2.4 Flow of Algorithm 3 Simulation Test Results and Analysis 3.1 Initial Global Path Settings 3.2 Static Obstacle Avoidance Simulation 3.3 Simulation of Dynamic Obstacle Avoidance 4 Conclusion References A Multi-objective Particle Swarm Algorithm Based on a Preference Strategy 1 Introduction 2 Relevant Theoretical Basis 2.1 Particle Swarm Optimization 2.2 Multi-objective Optimization Problem 3 The Proposed Algorithm 3.1 Improve the Preference Areas 3.2 Gbest Selection Strategy 4 Experimental Results and Analysis 4.1 Evaluation Indicators 4.2 Algorithm Parameter Setting 4.3 Experimental Results 5 Conclusion References An Improved Harris Hawk Optimization Algorithm Based on Spiral Search and Neighborhood Perturbation 1 Introduction 2 Basic HHO Algorithm 2.1 Exploratory Stage 2.2 Transformation Between Exploration and Exploitation 2.3 Exploitation Stage 3 Improved HHO Algorithm (IHHO) 3.1 Tent Chaotic Mapping 3.2 Collaborative Updating Strategy of Spiral Search and Neighborhood Disturbance 3.3 Adaptive Inertia Weight 3.4 Dimensional Cross Variation 4 Experimental Simulation and Analysis 4.1 Experimental Design 4.2 Results of Classical Test Functions 4.3 Analysis of the Results of CEC2021 Test Functions 5 Optimization of Engineering Problems 6 Conclusion References S-Plane Controller Parameter Tuning Based on IAFSA for UUV 1 Introduction 2 Path Following Control Based on S-plane Controller 2.1 S-Plane Control Theory 2.2 Design of Forward Speed Controller and Yaw Angular Speed Controller 3 Improved Artificial Fish Swarm Algorithm 3.1 Theory of Artificial Fish Swarm Algorithm 3.2 Algorithm Improvement Measures 4 Simulations 4.1 Simulation Environment and Basic Parameters 4.2 Simulation Results and Analysis 5 Conclusions References A Reinforcement-Learning-Driven Bees Algorithm for Large-Scale Earth Observation Satellite Scheduling 1 Introduction 2 Model 3 Reinforcement Learning Driven Bee Algorithm 3.1 Overall Flow of Algorithm 3.2 Reinforcement Learning Method Based Search Mode Selection 3.3 Population Evolution Operation 4 Experiment 5 Summary and Future Prospects References Optimal Formation of UUV Groups Based on Shape Theory and Improved Ant Colony Algorithm Under Communication Delay 1 Introduction 2 Preliminaries and Modelling 2.1 Shape Theory 2.2 UUV Kinematic and Kinetic Models 3 Design of UUV Formation Controller with Time Delay Based on Consistency 4 UUV Formation Recombination Based on Bio-inspired Algorithm 4.1 Description of the Problem 4.2 Standard Ant Colony Algorithm 4.3 Improved Ant Colony Algorithm 5 Simulation Experiment 6 Conclusion References Global Path Planning for Unmanned Ships Based on Improved Particle Swarm Algorithm 1 Introduction 2 Path Planning Modeling and Problem Description 3 Path Planning Based on Improved Particle Swarm Optimization Algorithm 3.1 Standard Particle Swarm Optimization 3.2 Chaotic Disturbance Optimization 3.3 Search Strategy Optimization for Follower Bees 4 Simulation Experiment 5 Conclusion References A Self-adaptive Single-Objective Multitasking Optimization Algorithm 1 Introduction 2 Related Work 2.1 Evolutionary Multitasking Optimization (EMTO) 2.2 Differential Evolution (DE) 3 The Proposed Method 3.1 Transfer Strategy 3.2 Main Framework of SAMTOA 4 Experiments and Analysis 4.1 Test Benchmark and Experimental Settings 4.2 Experimental Results 4.3 Parameter Tuning 5 Conclusion References Improved Whale Optimization Algorithm by Multi-mechanism Fusion 1 Introduction 2 Basic WOA Algorithm 2.1 Shrinking Encircling Mechanism 2.2 Location Update 2.3 Spiral Updating Position 2.4 Random Searching 3 Improved Whale Optimization Algorithm 3.1 Nonlinear Parameter 3.2 Harris Hawks Optimization Algorithm 3.3 Gaussian Detection Mechanism 4 Experiment and Analysis 5 Design Problems of Tension Spring 6 Conclusion References Multi-stage Objective Function Optimized Hand-Eye Self-calibration of Robot in Autonomous Environment 1 Introduction 2 Self-calibration Algorithm 2.1 Self-calibration Problem Description 2.2 Solving the Self-calibration Problem 2.3 Optimizing Calibration Results 3 Experiments 3.1 Single Camera Dataset Validation Experiment 3.2 Application Platform Experiment 4 Conclusions References An Improved Chaos-Based Particle Swarm Optimization Algorithm 1 Introduction 2 Particle Swarm Algorithm 3 Improved Chaos Particle Swarm Algorithm 3.1 Chaos Perturbation Strategy 3.2 Escape Strategy 4 Experimental Results and Discussion 4.1 Benchmark Function 4.2 Experimental Results and Analysis 5 Conclusion References Task Location Distribution Based Genetic Algorithm for UAV Mobile Crowd Sensing 1 Introduction 2 Model 2.1 Problem Defined 2.2 Assumptions 2.3 Decision Variables and Parameters 2.4 Objective Function 2.5 Constrains 3 Method 3.1 The Improved Genetic Algorithm Flowchart 3.2 Encoding Method 3.3 Population Generation Based on Heuristic Rules 3.4 Evolutionary Operators 4 Experiment 5 Conclusion References The Utilities of Evolutionary Multiobjective Optimization for Neural Architecture Search – An Empirical Perspective 1 Introduction 2 Background 2.1 Evolutionary Multiobjective Optimization (EMO) 2.2 Neural Architecture Search (NAS) 2.3 NAS Benchmarks 3 Scalarization vs. Population-Based Approaches 4 Revisit EMO Algorithm for NAS 5 Conclusion References Research on Unmanned Ship Collision Avoidance Algorithm Based on Improved Particle Swarm Optimization Algorithm 1 Introduction 2 Construction of Collision Avoidance Model 2.1 Obstacle Model and Obstacle Avoidance Parameter Calculation 2.2 Collision Avoidance Risk Assessment 2.3 Mathematical Model of Local Obstacle Avoidance 2.4 The Constraints of Collision Avoidance Rules at Sea Are Considered 3 USV Collision Avoidance Based on Improved Particle Swarm Optimization Algorithm 3.1 Standard Particle Swarm Optimization 3.2 Chaotic Perturbation Optimization 4 Simulation Experiment 5 Conclusion References Solving Constrained Multi-objective Optimization Problems with Passive Archiving Mechanism 1 Introduction 2 Related Works 2.1 Evolutionary Algorithms Without Archiving Mechanism 2.2 Evolutionary Algorithms with Archiving Mechanism 3 Proposed Algorithm 3.1 Archiving Strategy 3.2 Passive Update Mechanism 3.3 Design of Fitness Function 3.4 PA-CMOEA 4 Experimental Results 5 Conclusion References A Comparison of Large-Scale MOEAs with Informed Initialization for Voltage Transformer Ratio Error Estimation 1 Introduction 2 Background 3 Empirical Studies 3.1 Informed Initialization 3.2 Experimental Settings 3.3 Results and Analysis 4 Conclusion References Enabling Surrogate-Assisted Evolutionary Reinforcement Learning via Policy Embedding 1 Introduction 2 Related Works 2.1 Surrogate-Assisted Evolutionary Algorithms 2.2 Evolutionary Reinforcement Learning 3 Methodology 3.1 PE-SAERL Framework 3.2 PE Module: Random Embedding 3.3 PE-FCPS-NCS: A Concrete Algorithm 4 Experiments 4.1 Experiments Settings 4.2 Results and Analysis 5 Conclusion References An Improved MPCA Algorithm with Weight Matrix Based on Many-Objective Optimization 1 Introduction 2 Related Works 3 The Improvement of MPCA Algorithm 3.1 Problem Description 3.2 Weighted MPCA 3.3 Objective Functions 4 The Solving Algorithm of Weighted MPCA 4.1 PIP-NSGA-III Algorithm 4.2 MPCA Based on Weight Matrix by IP-NSGA-III 5 Experimental Studies 5.1 Data Sets 5.2 Evaluation Indicators 5.3 Comparison with Other Many-Objective Optimization Algorithms 6 Conclusion References Machine Learning and Deep Learning Research on Helmet Wearing Detection Based on Improved YOLOv4 Algorithm 1 Introduction 2 YOLOv4 Target Detection Algorithm 3 Improved YOLOv4 Target Detection Algorithm 3.1 Prior Frame Re-clustering 3.2 Pyramid Segmentation Attention 3.3 Enhanced Feature Fusion 4 Experimental Results and Analysis 4.1 Dataset 4.2 Experimental Platform and Configuration 4.3 Experimental Process and Result Analysis 5 Conclusion References Research on Target Detection Algorithm of Unmanned Surface Vehicle Based on Deep Learning 1 Introduction 2 Algorithm Design of Maritime Target Detection 2.1 Basic Module Design of Maritime Target Detection Network 2.2 Maritime Object Detection Network Design 3 Maritime Object Detection Dataset Construction 3.1 Dataset Screening and Labeling 3.2 Data Augmentation 4 Target Detection Model Design 5 Model Training and Result Analysis 6 Conclusion References A Review on Bio-inspired Fluid Mechanics via Deep Reinforcement Learning 1 Introduction 2 Deep Reinforcement Learning 2.1 Reinforcement Learning 2.2 Artificial Neurons and Neural Networks 2.3 DRL Algorithm 3 Application 3.1 Effective Swimming Strategy of the Fish 3.2 Flow Navigation of Microswimmers 3.3 Motion Control of the Bio-robot 3.4 Shape Optimization 4 Conclusion References Memristor-Based Neural Network Circuit of Operant Conditioning with Overshadowing 1 Introduction 2 Memristor Model 3 Modules Design of Circuit 3.1 Button Module 3.2 Reward Module 3.3 Inhibition Module 3.4 Synapse Module 3.5 Complete Circuit 4 Experiment Design and Simulation Analysis 4.1 Experiment Introduction 4.2 Simulation Results and Analyses 5 Conclusion References Continual Learning with a Memory of Non-similar Samples 1 Introduction 2 Related Work 3 Non-similar Sample Storage and Distillation Loss 3.1 Non-similar Sample Storage 3.2 Distillation Loss 4 Experiments 4.1 Effectiveness and General Adaptability of NSS 4.2 Experimental Setup of NSS-D 5 Ablation Experiment 6 Conclusions References Research on Soil Moisture Prediction Based on LSTM-Transformer Model 1 Introduction 2 Overview of Study Areas and Datasets 2.1 Study Area 2.2 Data Set 3 Model Building 3.1 Encoder Architecture 3.2 Decoder Architecture 4 Results and Analysis 5 Conclusion References Graph Contrastive Learning with Intrinsic Augmentations 1 Introduction 2 Related Works 3 The Proposed Method 3.1 Overview 3.2 Graph View Generation 3.3 Dynamic Temperature with Penalty Item 4 Experiments 4.1 Datasets 4.2 Experimental Setup and Evaluation Protocol 4.3 Baseline Methods 4.4 Results of Node Classification 4.5 Ablation Study 4.6 Parameter Sensitivity Analysis 5 Conclusion References Research on Global Collision Avoidance Algorithm for Unmanned Ship Based on Improved Artificial Potential Field Algorithm 1 Introduction 2 USV Collision Avoidance Based on Improved Artificial Potential Field Method 2.1 Improvement of Artificial Potential Field Method 2.2 Algorithm Design of Unmanned Vessel Path Planning 3 Simulation 4 Conclusion References OCET: One-Dimensional Convolution Embedding Transformer for Stock Trend Prediction 1 Introduction 2 Related Work 3 Task Formulation 3.1 Mid-Price Predict 3.2 Volume-Weighted Average Price Predict 4 Model 4.1 One-Dimensional Convolution Embedding 4.2 Rest of the Model 5 Experiments 5.1 Datasets and Settings 5.2 Experiments on the FI-2010 Dataset 5.3 Experiments on the HKGSAS-2020 Dataset 6 Conclusion and Future Works References A Rapid and Precise Spiking Neural Network for Image Recognition 1 Introduction 2 Proposed Method 2.1 Encoding and Decoding Scheme 2.2 Neuron Model Iterative Update Scheme 2.3 Training Scheme 3 Experiment 3.1 Training and Inference Time 3.2 Classification Accuracy 4 Conclusion References Research on Improved Image Dehazing Algorithm Based on Dark Channel Prior 1 Introduction 2 Atmospheric Scattering Model 2.1 Incident Light Attenuation Model 2.2 Incident Light Attenuation Model 2.3 Image Degradation Model in Foggy Weather 3 Improved Dehazing Algorithm Based on Dark Channel Prior 3.1 Dark Channel Prior Transmittance and Atmospheric Light Value Estimation 3.2 Optimization of Atmospheric Light Value Selection Method 3.3 Transmittance Method Improvements 3.4 Image Restoration 4 Image Restoration Experiment and Result Analysis in Foggy Weather 4.1 Algorithm Process 4.2 Experimental Results and Analysis 5 Conclusion References Reinforcement Learning Based Vertical Scaling for Hybrid Deployment in Cloud Computing 1 Introduction 2 Related Work 3 Methodology 3.1 Environment Definition 3.2 Reward Function 3.3 Q-Learning Design 4 Experiments 4.1 Experiments Setup 4.2 Algorithm Setup 4.3 Experiment Results and Analysis 5 Conclusion References Swing-Up and Balance Control of Cart-Pole Based on Reinforcement Learning DDPG 1 First Section 2 Model of Cart-Pole 2.1 Mathematical Model of the Cart-Pole 2.2 Swing-Up Control of Cart-Pole System 2.3 Balance Control of Cart-Pole System 3 Reinforcement Learning of Cart-Pole System 3.1 Cart-Pole Model in Reinforcement Learning 3.2 Simulation of Cart-Pole Based on Reinforcement Learning 3.3 Comparative Simulation 3.4 Experiment of Cart-Pole Based on Reinforcement Learning 4 Conclusion References Yolov5 Outdoor Dynamic Object Detection Based on Multi-scale Feature Fusion 1 Introduction 2 Structure and Principle of Yolov5 3 Multi-scale Feature Fusion 4 Yolov5 Multi-scale Feature Fusion 4.1 Improved Network Structure 4.2 The Structure of the Improved PANet Model 5 Experimental Results and Analysis 5.1 Data Set 5.2 Data Enhancement 5.3 Experimental Environment and Sample Training 5.4 Experimental Results and Analysis 6 Conclusions References Intelligent Control and Simulation Multi-UUV Formation Cooperative Full-Area Coverage Search Method 1 Introduction 2 Multi-UUV Formation Cooperative Search Problem Description 3 Multi-UUV Formation Coverage Search Method 3.1 Improved “Z” Shape Multi-UUV Formation Coverage Search Path 3.2 Formation Reconstruction of Multi-UUV Formation Search in Unknown Environment 4 Simulation Analysis 5 Conclusion References Multi-scale Simulations of Flow in the Upper Open Area of a Luxury Cruise Ship 1 Introduction 2 Multi-scale Simulations 2.1 Introduction to Methods and Models 2.2 Hull Model Above the Waterline 2.3 Local Numerical Simulation 3 Results and Analysis 3.1 Method Validation 3.2 Analysis of Wind Field Characteristics of the Whole Ship 3.3 Verification and Analysis of Numerical Simulation of Local Wind Field 4 Conclusion References Research on Course Control Algorithm of Unmanned Craft Based on Model Predictive Control 1 Introduction 2 Construction of Mathematical Model of Unmanned Boat Control 2.1 Coordinate System 2.2 Linear Mathematical Model 2.3 Nonlinear Mathematical Model 3 Course Control of Unmanned Craft Based on Model Predictive Control 3.1 Classical Model Predictive Control Algorithm 3.2 Course Controller Based on Predictive Function Control 4 Simulation Experiment and Analysis 4.1 Course Keeping Effect 4.2 Course Tracking Effect 5 Conclusion References Multi-UUV Underwater Target Cooperative Detection Task Planning and Assignment 1 Introduction 2 Problem Analysis and Modeling 3 Multi-UUV Detection Task Assignment Algorithm Based on Biological Balance 4 Simulation Experiment 5 Simulation Analysis 6 Conclusion References Multi-UUV Cooperative Navigation and Positioning Algorithm Under Communication Delay 1 Introduction 2 Multi-UUV Co-location Measurement Modeling 3 Multi-UUV Cooperative Navigation and Positioning Algorithm under Communication Delay 3.1 Multi-UUV Cooperative Navigation and Positioning Communication Delay Model 3.2 Improved EKF Positioning Algorithm Based on State Compensation 4 Simulation Analysis 5 Conclusion References The Research of the Consistency Control Under the Condition of Time-Lag of Isomerism AUV Group Communication 1 Introduction 2 AUV Modeling 3 Heterogeneous AUV Group Consistency Control with Pilot Craft 3.1 Heterogeneous AUV Group Consistent Control Without Delay 3.2 Heterogeneous AUV Group Consistent Control with Time Delay 4 Simulation Experiment 4.1 Time Delay Free Simulation 4.2 Simulation with Time Delay 5 Conclusion References Non-uniform Deformation Behavior of Magneto-Sensitive Elastomer Containing Uniform Sphere Particles with V-Shaped Arrangement 1 Introduction 2 Microstructure Selection 3 Preparation 4 Experimenting 4.1 Instrument and Method 4.2 Results 5 Simulation 5.1 Verification 5.2 Results 6 Conclusion References Study on the Influence of Exit Width Change on Heterogeneous Passengers Evacuation Based on the Social Force Model 1 Introduction 2 Scene 2.1 The Evacuation Space 2.2 Passenger Parameters 2.3 Evacuation Procedure 3 Evacuation Simulation and Result Analysis 3.1 Establishment of the Evacuation Model 3.2 The Result Analysis 4 Conclusions References A Review of Longitudinal Vibration and Vibration Reduction Technology of Propulsion Shafting 1 Introduction 2 Analysis of Longitudinal Vibration of Propulsion Shafting 3 Active Control Technology for Longitudinal Vibration of Propulsion Shafting 3.1 Design of Active Control Actuator 3.2 Design of Active Control Controller 4 Conclusion References Design and Simulation of Heading Controller for Unmanned Boat Based on Fuzzy Neural PID 1 Introduction 2 Mathematical Motion Model of Unmanned Boat 2.1 Standard Particle Swarm Optimization 2.2 Steering Gear Mathematical Model 3 Design of Heading Controller Based on Fuzzy Neural PID 3.1 Heading Controller Structure 3.2 Fuzzy Neural Network Training 4 Simulation and Analysis of Heading Controller for Unmanned Boat 5 Conclusion References Flexible Formation Control of Multiple Unmanned Vehicles Based on Artificial Potential Field Method 1 Introduction 2 Multi-UAV Formation Control Strategy 3 Hierarchical Controller Design for Multiple Unmanned Boats 4 Simulation Verification and Analysis 5 Conclusion References Local Path Planning Combined with the Motion State of Dynamic Obstacles 1 Introduction 2 Calculate Laser Point Information on Obstacles 3 Judgment of Dynamic Obstacles and Solution of Motion State 3.1 Segmentation and Straight-Line Fitting of Laser Data 3.2 Dynamic Obstacles Detection and Motion Solution 4 DWA Local Path Planner Combined Dynamic Obstacles Motion Information 4.1 Implementation of DWA Algorithm 4.2 Expand the Cost Map of Dynamic Obstacles Velocity Direction 5 Test Results and Simulation 5.1 Simulation Test and Results 5.2 Real Environment Test and Results 6 Conclusion References Simulation of Airflow Characteristics of a Seabird Following a Ship Based on Steady State 1 Introduction 2 Ship and Seabird Geometries 2.1 Ship Geometry 2.2 Seabird Wing Geometry 3 Turbulence Type and Calculation States 3.1 Turbulence Type 3.2 Calculation States 4 Inspection Simulations 4.1 Inspection Simulation 1 4.2 Inspection Simulation 2 5 Full-Scale Simulations 5.1 Full-Scale Simulation 1 5.2 Full-Scale Simulation 2 6 Conclusions References Numerical Simulation of Bionic Undulating Fin Surface Drag Reduction Structure 1 Introduction 2 Collection and Calculation of Biometric Characteristics of Undulating Fins 2.1 Physical Characteristics of MPF Model Fish 2.2 Determination of Shape and Size of Fin Drag Reduction Element 3 The Model of Computation 3.1 The Establishment of Computing Domain 3.2 Mesh Partitioning and Algorithm Selection 3.3 Selection of Turbulence Model and Setting of Initial Conditions 4 Analysis of Simulation Results 4.1 Validation of Turbulence Model Accuracy 4.2 Validation of Turbulence Model Accuracy 4.3 Drag Reduction Mechanism and Analysis Method 4.4 Analysis of Drag Reduction Rate of Convex Structure 4.5 Analysis of Drag Reduction Rate of Concave Structure 5 Conclusion References Molecular Computing and Nanotechnology Integrated Design and Absorbing Performance Analysis for Periodic Wave Absorbing and Bearing Structures 1 Introduction 2 Structural Design Principles 3 Simulations 4 Simulation Results and Discussion 5 Conclusion References Diffusion Optimization Algorithm Based on Membrane Calculation 1 Introduction 2 Diffusion Optimization Algorithm Based on Membrane Calculation 2.1 Membrane Computing Framework 2.2 Particle Search Strategy 3 MC-DOA Algorithm Test Experiment 3.1 Single-Peak Function Test Experiment 3.2 Multi-peak Function Test Experiment 3.3 Benchmark Function Test Tests with Different Dimensions 4 Conclusion References Tuning Geometric Conformations of Curved DNA Structures by Controlling Positions of Nicks 1 Introduction 2 Tuning DNA Structures by Varying Patterns of Nicks 2.1 Impact of Nicks on Conformations of DNA Structures 2.2 Quantification of Bending and Twisting in Curved DNA Structures 2.3 Tuning the Conformation of DNA Structures by Varying Positions of Nicks 3 Simulation Process of DNA Structures 3.1 Simulation Process of 2-Helix Structure Using Cando 3.2 Simulation Process of 6-Helix Structures Using OxDNA 4 Conclusion References A Sensitive Nanothermometer Based on DNA Triplex Structure 1 Introduction 2 Design of DNA-Based Thermometers 2.1 DNA Thermometers with Stabilizing Strands of Different Design Pattern 2.2 DNA Thermometers with Stabilizing Strands of Mismatch Bases 2.3 Fluorescence Kinetics of the Thermometers 3 Implementation and Characterization of DNA-Based Thermometers 4 Conclusion References Microwave Absorption Properties of Double-Layer Absorbing Material Based on Carbonyl Iron and Graphene Composites 1 Introduction 2 Theoretical Model of Microwave Absorption 2.1 The Principle of Microwave Absorption 2.2 The Theory Equivalent Medium 2.3 The Model CST Calculation 3 Results and Discussion 3.1 The Verification of CST Calculation Method 3.2 Characteristic Analysis of Single Layer Absorber 3.3 Characteristic Analysis of Double Layer Absorber 4 Conclusions References Reconfigurable Nanobook Structure Driven by Polymerase-Triggered DNA Strand Displacement 1 Introduction 2 Implementation and Characterization of DNA Nanobook 3 Design of DNA Nanobook Structure 4 Reconfiguration of NB Structure 5 Conclusion References An Analysis for Thermal Conductivity of Graphene/Polymer Nanocomposites 1 Introduction 2 Analytical Model 3 Results and Discussion 4 Conclusions References Simulation of Aflatoxin B1 Detection Model Based on Hybridization Chain Reaction 1 Introduction 2 Experimental Materials and Methods 2.1 Chemicals and Materials 2.2 Experimental Instruments and Equipment 3 Fluorescence Detection of AFB1 4 Results and Discussion 4.1 Sequence Design 4.2 Visual DSD Emulation 4.3 Biological Experiment Verification 5 Conclusion References Author Index