Enhancing Rail Transit Safety: Edge Computing‐Based Driver State Monitoring System
This article presents an edge computing‐based driver state monitoring system designed to enhance rail transit safety by analyzing real‐time data on driver identity, posture, and behavior. Leveraging facial recognition and AI‐driven detection methods, the system integrates edge and cloud computing to promptly identify unsafe conditions, enabling ...
Yiqing Liu +7 more
wiley +1 more source
A Proactive Technique for Pennation Angle Estimation of Skeletal Muscles Using Ultrasound Imaging
Purpose: The concrete construction of the musculoskeletal modeling is efficiently performed using information obtained from patients rather than collected from cadavers. In this study, we have endeavored to propose an automated technique that calculates
Shaima Ibraheem Jabbar +2 more
doaj +1 more source
Incremental Art: A Neural Network System for Recognition by Incremental Feature Extraction [PDF]
Incremental ART extends adaptive resonance theory (ART) by incorporating mechanisms for efficient recognition through incremental feature extraction.
Aguilar, Mario J., Ross, William D.
core +1 more source
Abstract Many core human activities require an understanding of time. To coordinate rituals, plan harvests and hunts, recall histories, keep appointments, and follow recipes, we need to grapple with invisible temporal structures like durations, sequences, and cycles. No other species seems to do this.
Kensy Cooperrider
wiley +1 more source
A Highly Robust Measurement Method for Cable Force Identification Based on Eliminating Camera Motion
When testing cable forces on outdoor physical bridges based on vision‐based techniques, the camera experiences irregular motion due to bridge vibrations and natural environmental interference. To address this issue, this study proposes a testing method that eliminates camera shake and poorer tracking resolution by combining reference points and moving ...
Yanhao Li +5 more
wiley +1 more source
Machine Vision and Canny Edge Detector–Based Printing Image Detection and Recognition Model
Traditional image detection and recognition models face issues such as high miss detection rates, low classification accuracy, and poor real‐time performance when dealing with complex printing images, including defects and flaws. To address these problems, this study proposes a printing image detection and recognition model based on machine vision ...
Bei Liu, Michele Calì
wiley +1 more source
Optic cup segmentation: type-II fuzzy thresholding approach and blood vessel extraction
Ahmed Almazroa,1 Sami Alodhayb,2 Kaamran Raahemifar,3 Vasudevan Lakshminarayanan1 1School of Optometry and Vision Science, University of Waterloo, Canada; 2Binrushd Ophthalmic Center, Riyadh, Saudi Arabia; 3Department of Electrical Engineering, Ryerson ...
Almazroa A +3 more
doaj
Challenges in Partially-Automated Roadway Feature Mapping Using Mobile Laser Scanning and Vehicle Trajectory Data [PDF]
Connected vehicle and driver's assistance applications are greatly facilitated by Enhanced Digital Maps (EDMs) that represent roadway features (e.g., lane edges or centerlines, stop bars).
Barth, Matthew +5 more
core +1 more source
Hierarchical nondestructive detection of full‐scene suspended ceiling systems using point cloud
Abstract Suspended ceiling (SC) systems constitute a critical nonstructural building component. Excessive deformation of the ceiling surface can cause life‐threatening falling debris during earthquakes and create voids that may expose occupants to hazardous materials concealed above the ceiling.
Qinghua Guo +3 more
wiley +1 more source
Fuzzy Hough Transform without Deletion of Detected Line Data
In conventional fuzzy Hough transforms, lines are detected using a sequential iteration method that deletes data points on the detected lines. Detecting another line intersecting the detected lines is difficullt because some data points have been deleted in the previous process.
Naoki Ono, Kiichi Urahama
openaire +2 more sources

