Intelligent Networked Things 5th China Conference, CINT 2022, Urumqi, China, August 7-8, 2022, Revised Selected Papers

Access, Perception, and Prediction in Intelligent Networked Things.- Prediction of the Melt Pool Size in Single-layer Single-channel Selective Laser Melting Based on Neural Network.- Implementation of Underwater Vehicle Pipeline Inspection Based on Machine Vision.- Underwater Target Tracking Algorithm Based on Optical Flow.- Risk Monitoring Data Upload System for Safety Production of Hazardous Chemicals.- Joint Feature Fusion Approach to Human Pose Estimation Using mmWave Rader.- Question Answering Based On Entity-aware Self-attention.- TGNN:A GNN-based Method with Multi-Entity Node for Personal Banking Time Prediction.- Spatial-Temporal Adaptive Graph Convolution with Attention Network for Traffic Forecasting.- Sentiment Analysis of Online Travel Reviews Based on Capsule Network and Sentiment Lexicon.- A Sentiment Analysis Model for Car Review Texts Based On Adversarial Training and Whole Word Mask BERT.- Bi-Convolution Matrix Factorization Algorithm Based On Improved ConvMF.- A Novel Defect Detection Method for Insulators of Power Transmission Line Based on YOLOv5.- Multi-Objective Optimization Based Viscosity Prediction for Inks in Direct Ink Writing Numerical Simulations.- A Meta-Learning-Based Object Detection Method for Custom Grasping in Human-Robot Collaboration.- A knowledge-Embedding-Based Approach for Process-Decision Knowledge Mining.- A Knowledge Content Matching Degree Calculation Method Supporting Process Knowledge Recommendation.- Control of Intelligent Networked Things.- Fault-tolerant Control for Underwater Vehicle with Actuator Saturation and Faults.- Event-Triggered Kernel Recursive Least Squares Algorithm.- Distributed Fault-Tolerant Formation Control of Nonholonomic Mobile Robots with SSA Parameter Optimization.- Set-Membership Estimation for Nonlinear Parameter-Varying Systems.- Adaptive Synchronization of Fractional-OrderMultiplex Networks via Quantized Control.- Synchronization in Fixed/Preassigned time of Inertial Neural Networks with Time-varying Delay.- A Deep Reinforcement Learning Based Leader-Follower Control Policy for Swarm Systems.- Research on the Key Technology of Digital Twin-driven Fracture Reduction Robot Force Control.- A Data-driven Feedforward Control Design Method for Nonlinear Systems.- Tracking Error Boundary of Novel Stable Inversion Based Feedforward Control for a Class of Non-minimum Phase Systems.- Modeling, Simulation and Optimization of Intelligent Networked Things.- Resource Scheduling Algorithm for Heterogeneous High-Performance Clusters.- ieSTGCN:A Mining Model of Skeleton Spatio-temporal Graph.- Deep Recurrent Q-Network for Cloud Manufacturing Scheduling Problems.- Fixed-Time Bipartite Consensus for Multi-agent Systems Subjected to External Disturbances.- Study on Method of Extraction and Clustering of Model Construction Style.- Evaluation of Motion Planning Algorithms for Underground Mobile Robots.- Optimization of Ethanol Fermentation Based on Design of Dynamic Experiments.- Uncertain Economic order Quantity Model for Perishable Items with Shelf Life.- Distributed Processing of Continuous Range Queries over Moving Objects.- Scaled Consensus of Switched Multi-agent Systems with Controller Failure and Time-Varying Delay.- Resilient Event-Triggered Distributed Resource Allocation for Multi-Agent Systems under DoS Attacks.- A Method and Implementation of Automatic Requirement Tracking and Verification for Complex Products Based On X Language.- Global Mittag-Leffler Stability of Fractional-Order Inertial Complex-Valued Neural Networks.- Distributed Fixed-Time Consensus and Optimization for Second-Order Multi-Agent Systems.- Emergency Evacuation Route Planning of Cruise Ship Based on Intelligent Optimization Algorithm.- Model Library SystemBased on Multi-Domain Simulation Model Integration Interface.- Multi-Agent Path Finding Algorithm of Merged Node Rule and Bounded Focal Search.- Dynamic Scheduling Method of Multi-objective Job Shop Based on Reinforcement Learning.- A Runtime Verification Tool for Distributed Simulation Systems.