Recent Featured Applications of Artificial Intelligence Methods. LSMS 2020 and ICSEE 2020 Workshops (Communications in Computer and Information Science)

✍ Scribed by Minrui Fei (editor), Kang Li (editor), Zhile Yang (editor), Qun Niu (editor), Xin Li (editor)

• Publisher: Springer
• Year: 2021
• Tongue: English
• Leaves: 534
• Category: Library

✦ Synopsis

This book constitutes the thoroughly refereed proceedings of the themed workshops of the 6th International Conference on Life System Modeling and Simulation, LSMS 2020, and of the 6th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2020, held in Hangzhou, China, in October 2020.

The 36 full and 2 short papers presented were carefully reviewed and selected from over 165 submissions. The papers of this volume are organized in topical sections on: smart energy systems and devices; intelligent manufacturing and systems; and intelligent biology and information systems.

✦ Table of Contents

Preface
Organization
Contents
Smart Energy Systems and Devices
Operation and Dispatch of Distribution Network with Seawater Desalination Considering Source-Grid-Load Interaction Index
1 Introduction
2 Connotation of Source-Grid-Load Interaction
2.1 Source-Source Complementation
2.2 Grid-Load Interaction
2.3 Source-Load Interaction
2.4 Source-Grid Interaction
3 Indicators of Source-Grid-Load Interaction
3.1 Power-Side Indicator
3.2 Grid-Side Indicator
4 Source-Grid-Load Flexible Interactive Operation Model
4.1 Objective Function
4.2 Constraints
5 Source-Grid-Load Flexible Interactive Operation Model
6 Conclusions
References
The Optimal Dispatching Strategy of Microgrid Group Based on Distributed Cooperative Architecture
1 Introduction
2 Description of Cost Model of Microgrid Group System
2.1 External Costs of Microgrid Groups
2.2 Internal Cost of Microgrid Group
2.3 Constraints on Multi-microgrid Systems
3 A Distributed Cooperative Algorithm Based on PSO
3.1 Distributed Voltage Estimation
3.2 Multi-agency Consensus Negotiation
3.3 Process of Distributed Cost Optimization Algorithm Based on PSO
4 Simulation Results and Discussion
5 Conclusion
References
An Electric Power Emergency Repair System: Structure, Navigation, and Software Design
1 Introduction
2 Electric Power Emergency Repair System Structure
3 Software Implementation of the Emergency Repair System
3.1 General Design of Software Structure
3.2 Basic Information Management Sub-system
3.3 Geographic Information Management Sub-system
3.4 Emergency Repair Monitoring and Scheduling Sub-system
3.5 BPNN-Dijkstra-Based Navigation Method
4 Case Study
5 Conclusion
References
Research on Information Interaction Technology Between Multi-service Application Systems of Power Grid
1 Introduction
2 Introduction to Multi-service System Platform of Power Grid
3 Research on Multi-service Information Interaction Technology in Power Network
3.1 Research and Improvement on Efficiency of Data Sharing
3.2 Interaction Model Design I
3.3 Interaction Model Design II
4 Design of Multi-business System Interactive Interface Platform
5 System Application and Analysis
5.1 Analysis of the Internal Application Function of Power Network System
5.2 Analysis of the Internal Application Function of Power Network System
6 Conclusion
References
Impact Analysis of False Data Injection Attack on Smart Grid State Estimation Under Random Packet Losses
1 Introduction
2 Problem Formulation
2.1 Data Transmission Model
2.2 Power Grid Measurement Model
3 Analysis of Weighted Least Squares Estimation
4 Simulation Study
5 Conclusions
References
Research on Home Energy Optimization Strategy Based on Micro-sized Combined Heat and Power
1 Introduction
2 Home Energy Microgrid
3 Household Energy Microgrid Load Model and Comfort Model
3.1 Load Model
3.2 Modeling of Indoor Temperature Comfort
4 Optimal Operation Model of Household Energy Considering User Comfort
4.1 Establishment of the Objective Function of Home Energy Optimization
4.2 Constraint Condition
4.3 Optimization Process of Household Energy
5 Example Analysis
5.1 Basic Parameter Setting
5.2 Plan of Flexible Load
6 Conclusion
References
Filter-Based Fault Diagnosis of Heat Exchangers
1 Introduction
2 Modeling of Heat Exchanger
3 Design of SIP-Based Filter
4 Detection and Location of the Faults
4.1 Fault Detection
4.2 Fault Location
5 Simulation Results
5.1 Healthy Heat Exchanger System
5.2 Unhealthy Heat Exchanger System
6 Conclusion
References
Application of Logistic Regression in Identifying Power Empty Nested Users
1 Introduction
2 Introduction to Logical Regression
2.1 Building Prediction Functions
2.2 Build Loss Function
2.3 Regularization
3 Data Source and Processing
4 Result and Analysis of Empty Nested User Recognition
4.1 Sample Selection and Model Training
4.2 Result Analysis
5 Conclusion
References
Study on the Modeling and Online SOC Estimation of the Aluminum Air Battery
1 Introduction
2 Research Approach of Equivalent Circuit Modeling and Online SOC Estimation
3 Equivalent Circuit Modeling
3.1 Discharge Experiment and Data Collection
3.2 Second-Order RC Massimo-Ceraolo Circuit Model
3.3 Parameter Identification Method Based on Recursive Least Square Method
4 SOC Estimation Based on Second-Order RC Massimo-Ceraolo Circuit Model
4.1 Data Collection and OCV-SOC Calibration
4.2 Online Open-Circuit Voltage Method
4.3 Piecewise SOC Estimation
5 Conclusion and Future Work
References
Modeling of Main Steam Temperature Using an Improved Fuzzy Particle Swarm Optimization Algorithm
1 Introduction
2 Model Design
2.1 System Identification
2.2 Model Description
3 Fuzzy k-Means Network
4 Particle Swarm Optimization (PSO) Design
4.1 Fitness Function
4.2 Population Initialization
4.3 Algorithm Flow
5 An Example
5.1 Uniform PSO Simulation
5.2 Training Data Simulation
5.3 Test Data Simulation
6 Conclusion
References
Research on Testing Method of Low Voltage IGBT Module Parameter
1 Introduction
2 Low-Voltage Input Performance Analysis
3 IGBT Control and Implementation Circuit
3.1 The Composition of the Experimental Platform
3.2 Characteristics of the Experimental Platform
4 Analysis of Results
5 Conclusions
References
Robust Stability of Single Phase PWM Rectifier Based on H Loop Shaping
1 Introduction
2 Mathematical Model
3 Controller Design
3.1 H Loop Shaping
3.2 Gap Metric
4 Simulation Results
5 Conclusion
References
State Identification of Three-Trans Towers’ Bolts Based on Quadratic Wavelet Transform and KNN
1 Introduction
2 Signal Denoising and Feature Extraction
2.1 Wavelet Denoising Based on New Threshold Function
2.2 Multi-feature Extraction Based on Quadratic Wavelet Transform
2.3 KNN Algorithm
3 The Process of Bolts State Identification
4 Experimental Case Analysis
4.1 Signal Acquisition
4.2 Multi-feature Extraction
4.3 Bolt State Identification
5 Conclusion
References
Torque Ripple Minimization of PMSM Drives with Multiple Reference Frame and DNN Based High-Fidelity Torque Model
1 Introduction
2 Control of PMSM
2.1 The DNN Based High-Fidelity Torque Model
2.2 Torque Harmonic Extraction from the DNN Based Torque Model
2.3 Generation of Reference Current With Harmonics Injection
2.4 Compensation of the Torque Ripple with MRF
3 Simulation Study
4 Conclusion
References
Intelligent Manufacturing and System
Demand Forecasting of a Fused Magnesia Smelting Process Based on LSTM and FRA
1 Introduction
2 Demand Forecasting Model
2.1 Introduction to FMSP
2.2 Demand Forecasting Model
3 Demand Forecasting Algorithm
3.1 Offline Parameter Identification for Linear Model by RLS
3.2 LSTM Model
3.3 A Fast Recursive Algorithm(FRA)
3.4 Demand Forecasting in FMSP Online
4 Accuracy and Trend of Demand Forecasting Analysis
5 Experimental Results
5.1 Identification of Linear Model Parameters
5.2 Results of Demand Forecasting
6 Conclusion
References
Bearing Fault Diagnosis Based on Variational Mode Decomposition and Modified CNN
1 Introduction
2 Theory Background
2.1 VMD
2.2 Standard Convolutional Neural Networks Module
2.3 Dense Network Module
3 Framework of the Proposed Method
4 Experimental Validation
4.1 Data Description
4.2 Results Analysis and Discussion
5 Conclusion
References
Analysis of Suspension Characteristics of a New High-Temperature Superconducting Magnetic Levitation Bearing Based on Frozen-Image Model
1 Introduction
2 System Modeling and Theoretical Calculation
2.1 Structural Model of a New High Temperature Superconducting Magnetic Suspension Bearing
2.2 Frozen-Image Model
2.3 Suspension Force and Stiffness Calculation
3 Levitation Force and Stiffness Analysis
3.1 Axial Suspension Force and Stiffness
3.2 Radial Levitation Force and Stiffness
3.3 Analysis of Hysteresis Characteristics of HTSMB
4 Conclusion
References
3D Curve Planning Algorithm of Aircraft Under Multiple Constraints
1 Introduction
2 Model
3 Multi-constraint 3D Trajectory Planning Algorithm
3.1 Heuristic 3D Track Search Algorithm
3.2 Minimum Turning Radius Curve and Straight Line Programming Algorithm
4 Simulation Analysis
5 Conclusion
References
A Real-Time Dynamic Watermarking Detection Method of Networked Inverted Pendulum Servo Systems
1 Introduction
2 Problem Formulation
2.1 The Model of NIPSSs
2.2 Cyber Attack to the NIPSSs
3 Dynamic Watermarking Detection of the NIPSSs
3.1 Two Statistical Detection Tests of DWM
3.2 Real-Time Detection Algorithm
4 Experimental Analysis
4.1 Performance Validation Under Replay Attack
4.2 Performance Validation Under Noise-Injection Attack
5 Conclusion
References
A Fast Hybrid Image Encryption Method for Networked Inverted Pendulum Visual Servo Control Systems
1 Introduction
2 Problem Formulation
3 A Hybrid Algorithm of Encryption and Watermark
3.1 Encryption and Decryption
3.2 Watermark Embedding and Extraction
4 Experiment and Analysis
4.1 Security Analysis
4.2 Performance Analysis of Region Tamper Detection
4.3 Efficiency Analysis
5 Conclusion
References
A Review on Intelligent Modelling of Complex and Large Scale Systems for Unmanned Underwater Vehicles with Uncertain Disturbances
1 Introduction
2 Dynamics Disturbances
2.1 Nonlinear Dynamics
2.2 Uncertain Hydrodynamic Parameters
2.3 Identification of Dynamic Networks
3 Filtering for the Ship-Environment Interaction
4 Distributed Estimation Strategies
5 System Description and Modelling
5.1 Dynamic Network Definition
5.2 Mathematical Model of Ship Motion
5.3 Two Frames Modelling for AUV
5.4 Identification Algorithm of the Two-Stage Stepwise
5.5 Filtering Algorithms
6 Conclusions and Future Topics
References
Research on Connectivity Restoration of Multiple Failures in UAV Cooperative Reconnaissance System
1 Introduction
2 System Model and Problem Statement
2.1 Non-association Multi-nodes Failure Model
2.2 Virtual-Grid Model
3 Virtual Grids-Based Partial Topology Reconfiguration Algorithm
3.1 Restore Strategy of Intra-grid Failure
3.2 Restore Strategy of Inter-grids Failure
3.3 Optimization Strategy
4 Performance Evaluation
4.1 Simulation Parameters
4.2 Total Number of Repair UAVs
4.3 Total Moving Distance of Repair UAVs
5 Conclusion
References
Improved Bundle Adjustment Based on ADMM
1 Introduction
2 Related Work
3 Proposed Method
3.1 Bundle Adjustment
3.2 ADMM
3.3 Pose Consensus
4 Convergence and Stopping Criterion
4.1 Convergence
4.2 Stopping Criterion
5 Experiments
5.1 Semi-dense Visual Odometry
5.2 BAL Problem
6 Conclusions and Future Work
References
Design and Implementation of High Performance Elliptic Curve Coprocessor Based on Dual Finite Field
1 Introduction
2 Theoretical Overview
2.1 Elliptic Curve Cryptography
2.2 Elliptic Curve Cryptography Architecture
3 Algorithm Analysis and Improvement
3.1 Modified Modular Multiplication Algorithm
3.2 Modified Modular Inverse Algorithm
3.3 Scalar Multiplication Algorithm
4 Hardware Design and Implementation
4.1 The Structure of Modified Modular Multiplier
4.2 The Structure of Modified Modular Inverse
4.3 ECC Coprocessor Structure
5 Simulation Test Results
5.1 Implementation Results of ECC Core Module
5.2 Performance Analysis
6 Conclusion
References
Research on UAV Signal Recognition Technology Based on GRU Neural Network Model
1 Introduction
2 Paper Preparation UAV Model Identification Based on GRU Neural Network Model
2.1 Feature Extraction
2.2 Model Design
2.3 Model Implementation and Training
3 Test Result Analysis
4 Conclusion
References
Comprehensive Analysis for the Effect of Thermal Barrier Coating Porosity on Ultrasonic Longitudinal Wave Velocity
1 Introduction
2 Principle
2.1 Principle of the Effect of Pores on Longitudinal Wave Velocity
2.2 SEM in-Situ Modeling Theory
3 Simulation of Longitudinal Wave Velocity of ZrO2 Coating
3.1 Construction of Pore Models with Different Porosity in ZrO2 Coating
3.2 Simulation of Ultrasonic Testing ZrO2 Coating
3.3 Results
3.4 Linear Relationship Between Porosity and Longitudinal Wave Velocity
3.5 Experimental Verification
4 Conclusions
References
An Overview of Control Strategy and Trajectory Planning of Visual Servoing
1 Introduction
2 Classification of Visual Servoing System
2.1 Position-Based Visual Servoing
2.2 Image-Based Visual Servoing
2.3 Hybrid Visual Servoing
3 Feature Extraction
3.1 Image Feature Classification
3.2 Feature Extraction Algorithm Development
4 Plan Planning
4.1 Trajectory Planning Based on Image Interpolation
4.2 Trajectory Planning Based on Optimization
4.3 Trajectory Planning Based on Potential Field
5 Research Prospects
References
Intelligent Biology and Information System
A Higher Order Prediction Model of Populus Simonii’s Net Photosynthetic Rate Based on Improved Gradient Boosting Method
1 Introduction
2 Materials and Methods
2.1 Plant Material
2.2 Acquisition of Photosynthetic Characteristics and Phenotypic Traits
3 Results
3.1 Classification of P. simonii Based on Average Linkage Clustering and PAM Clustering
3.2 The Non-linear Regression Model
3.3 The Improved Gradient Boosting Prediction Model
3.4 Net Photosynthetic Rate Prediction Analysis
4 Discussion
References
Improving Metagenome Sequence Clustering Application Performance Using Louvain Algorithm
1 Introduction
2 The Proposed Method
2.1 Clustering Strategies
2.2 Louvain Algorithm
2.3 Pipeline
2.4 Evaluation Metrics
3 Materials and Environment
3.1 Datasets
3.2 Computing Environments
4 Results and Analysis
5 Conclusion and Discussion
References
A Combined Method for Face and Helmet Detection in Intelligent Construction Site Application
1 Introduction
2 Literature Review
3 Methodology
3.1 A Combined Detection Approach
3.2 Real Dataset of Construction Site
3.3 Performance Evaluation
4 Experiments and Results
4.1 Construction Site Dataset Establishment
4.2 Experiment
5 Conclusions
References
A Novel Approach of Human Tracking and Counting Using Overhead ToF Camera
1 Introduction
2 Overview of System
3 Proposed Method
3.1 Depth Image Preprocessing
3.2 Human Dectection
3.3 Targets Matching
4 Experiments and Results
4.1 Hardware Platform
4.2 Experiment Strategy
4.3 Result
4.4 Error Analyze
5 Conclusion
References
A Novel Text Personalized Analysis Model Based on BP Neural Network
1 Introduction
2 Related Work
3 BP Neural Network
4 Algorithm
4.1 TF-IDF
5 Word2vec Model (Skip Gram)
6 Personalized Text Sentiment Analysis Model Based on User Semantic Integration
7 Training Method
8 Experiment
8.1 Dataset
9 Experimental Description and Metric
10 Recall = TP/(TP + FN) = TP/P
11 F–score = 0.5*(Precision + Recall)
12 Rmse:
13 Experimental Result
14 Conclusion
References
Dynamic Pedestrian Height Detection Based on TOF Camera
1 Introduction
2 Research Background
2.1 Camera Correction
2.2 Height Fluctuation of Dynamic Pedestrians
3 Height Detection Method for Dynamic Pedestrians
3.1 Calibration and Normalization
3.2 Background Difference-Level Set (BD-LS) Denoising
3.3 Head Extraction Based on the Maximally Stable Extremal Regions (MSER)
3.4 Height Calculation and Correction
4 Experiments and Analysis
5 Conclusion and Future Work
References
Quantitative Regression Modeling of Cocoa Bean Content Based on Gated Dilated Convolution Network
1 Introduction
2 Neural Network
2.1 CNN
2.2 Spectral Regression Model Based on CNN
3 PSO Algorithm
4 Experimental Methods
4.1 Dataset Description
4.2 Spectral Pretreatment
4.3 Network Structure
4.4 Model Evaluation Criteria
4.5 Parameter Setting
5 Discussion
6 Conclusion
References
A Novel Hybrid Forecasting Model Based on Time Series
1 Introduction
2 Methodology
2.1 Forecasting Method of Low-Frequency Component
2.2 Forecasting Method of High-Frequency Component
3 Experimental Results
3.1 Data Collection
4 High and Low Frequency Decomposition Results
5 The Forecast Results of the Cigarette Sales
6 Discussion
6.1 Evaluation of Low-Frequency Component
7 Evaluation of Low-Frequency Component
8 Further Discussions
9 Conclusion
References
Research on Adaptive Adjustment Algorithm of Isolated Word State Number Based on ANN-HMM Mixed Model
1 Introduction
2 Traditional Fixed State Number Method
3 Improved Adaptive Adjustment State Number Method
3.1 Ways to Increase Status
3.2 Ways to Delete Status
4 Hybrid Model Training Method
5 Experiment
6 Conclusion
References
An SEIR Model for Assessment of COVID-19 Pandemic Situation
1 Introduction
2 Modelling
3 Modelling Assumptions and Parameter Setting
4 Discussions on Nowcasting and Forecasting
4.1 Epidemic Prevalence Estimation on 1st April 2020
4.2 Assessment of Future Epidemic Situation (from 10 April)
5 Conclusions and Discussions
6 Disclaimer
References
A Regression Model for Short-Term COVID-19 Pandemic Assessment
1 Introduction
2 Modelling
3 Results and Discussion
3.1 Model Analysis Based on Pandemic Data from China
3.2 Applications of the Trained Model
4 Conclusion
5 Disclaimer
References
Author Index