Proceedings of 2023 Chinese Intelligent Automation Conference

ISBN-13: 9789819961863 / Angielski / Twarda / 2023

Opis

The book presents selected research papers from the 2023 Chinese Intelligent Automation Conference (CIAC2023), held in Nanjing, China, on October 2-5, 2023. It covers a wide range of topics including intelligent control, robotics, artificial intelligence, pattern recognition, unmanned systems, IoT, and machine learning. It includes original research and the latest advances in the field of intelligent automation. Engineers and researchers from academia, industry, and government can gain valuable insights into solutions combining ideas from multiple disciplines in this field.

Spis treści

Predicting TUG Score from Gait Characteristics with Video Analysis and Machine Learning.- Task-Space Finite-Time Prescribed Performance Tracking Control for Free-Flying Space Robots under Input Saturation.- An Online Game Platform for Intangible Cultural Heritage Tibetan Jiu Chess.- Review of Human Target Detection and Tracking based on Multi-View Information Fusion.- Federated Topic Model and Model Pruning Based on Variational Autoencoder.- Anti-interference Mechanical Fault Diagnosis Method based on CNN and Attention Mechanism.- Refining Object Localization From Dialogues.- License Plate Detection and Recognition Based on Light-yolov7.- Efficient Partitioning Method of Large-Scale Public Safety Spatio-Temporal Data based on Information Loss Constraints.- Research and Application of Intelligent Monitoring and Diagnosis System for Rail Transit Emergency Power Supply Equipment.- Reliability-based Dynamic Positioning Control for Turret-Moored Vessels with Prescribed Performance.- A Pose Control Algorithm for Simulating Robotic Fish.- Unsupervised Multidimensional Time Series Anomaly Detection Based on Federation Learning.- Reinforcement Federated Learning Method Based on Adaptive OPTICS Clustering.- Simulation and Implementation of Extended Kalman Filter Observer for Sensorless PMSM.

O autorze

Prof. Deng received the B.S. degree from Sichuan University, Chengdu, China, in 1986 and the Ph.D. degree from Harbin Institute of Technology (HIT), Harbin, China, in 1991, respectively. From 1992 to 1994, as a postdoctoral researcher at Tsinghua University, his research interests got involved in fuzzy neural network models, fast BP learning algorithms, and asynchronous learning control. In the end of 1994, he became an associate professor at Tsinghua University. From 1996 to 1997, he served as a research associate at Hong Kong Polytechnic University, Kowloon, Hong Kong, China. During that period, he mainly worked on reinforcement learning approaches. From 2001 to 2003, he was a visiting professor at Washington University in St. Louis, St. Louis, MO, USA, where he took part in DARPA- and NSF-funded projects related to networked embedded system technologies (NEST) and novel ncRNA gene prediction, respectively. Since 2000, he has been a full professor at Tsinghua University. So far he has authored or co-authored more than 290 papers and 5 books, including international peer-reviewed academic journals like IEEE TNN，TNNLS，and TITS and top-class international conferences such as CVPR, ICCV, ECCV, AAAI, IJCAI, ICPR, ICIP, ECAI, ITSC, IV, ICRA, and IROS.