Sensor Systems and Software: 13th EAI International Conference, S-Cube 2022, Dalian, China, December 7-9, 2022, Proceedings

ISBN-13: 9783031348983 / Angielski

Hamid Reza Karimi;Ning Wang

Opis

This book constitutes the proceedings of the 13th International Conference on Sensor Systems and Software, S-Cube 2022, which was held in Dalian, China, in December 7-9, 2022. The 16 revised full papers in this book were selected from 42 submissions and are organized in three thematic sessions on sensor technology for marine systems; resilience control systems; and applications.

Spis treści

Sensor Technology for Marine Systems.- Way Points and Reference Speed Based Trajectory Generator for an Unmanned Surface Vehicle.- Adaptive Channel Attention-based Deformable Generative Adversarial Network for Underwater Image Enhancement.- Coordinate Attention and Transformer neck-based Marine Organism Detection.- Marine vessel detection in sea fog environment based on SSD.- Sailboat Path Following Control Based on LOS with Sideslip Angle Observation and Finite-Time Backstepping.- Resilience Control Systems.- An Improved Regression Partial Least Squares Method for Quality-Related Process Monitoring of Industrial Control Systems.- A Novel Stochastic Event-Based Feedback Watermark for Replay Attack Detection.- A Cascade Finite-Time Nonlinear Extended State Observer for Active Disturbance Rejection Control.- Fixed-Time Disturbance Observer-Based Power Control of Wave Power Generation System.- Disturbance observer-based fast fixed-time nonsingular terminal sliding-mode formation control for autonomous underwater vehicles.- Applications.- A Deep Learning-Based Method for Drivers’ Shoe-Wearing Recognition.- A Learning-based driving style classification for intelligent vehicles.- CADM: Confusion Model-based Detection Method for Real-drift in Chunk Data Stream.- Rearch on reading comfort of office light environment based on subjective evaluation.- Illuminance Affecting Factors Analysis for Classroom Environments.- Virtual Simulation Measurement of Lamp Intensity distribution based on Near Field Goniophotometer.