10 papers
CWT-Enhanced Vibration Sensing With Time-Frequency Region Localization Using YOLO
Po-Heng Chou, Wei-Lung Mao, Ru-Ping Lin +2
This letter presents a CWT-enhanced vibration sensing framework for bearing fault monitoring through localized time-frequency region detection on continuous wavelet transform (CWT)…
Measurement-Driven Early Warning of Reliability Breakdown in 5G NSA Railway Networks
Po-Heng Chou, Da-Chih Lin, Hung-Yu Wei +2
This paper presents a measurement-driven study of early warning for reliability breakdown events in 5G non-standalone (NSA) railway networks. Using 10~Hz metro-train measurement tr…
NGGAN: Noise Generation GAN Based on the Practical Measurement Dataset for Narrowband Powerline Communications
Ying-Ren Chien, Po-Heng Chou, You-Jie Peng +3
To effectively process impulse noise for narrowband powerline communications (NB-PLCs) transceivers, capturing comprehensive statistics of nonperiodic asynchronous impulsive noise…
MECKD: Deep Learning-Based Fall Detection in Multilayer Mobile Edge Computing With Knowledge Distillation
Wei-Lung Mao, Chun-Chi Wang, Po-Heng Chou +2
The rising aging population has increased the importance of fall detection (FD) systems as an assistive technology, where deep learning techniques are widely applied to enhance acc…
Automated Defect Detection for Mass-Produced Electronic Components Based on YOLO Object Detection Models
Wei-Lung Mao, Chun-Chi Wang, Po-Heng Chou +1
Since the defect detection of conventional industry components is time-consuming and labor-intensive, it leads to a significant burden on quality inspection personnel and makes it…
YOLO-Based Defect Detection for Metal Sheets
Po-Heng Chou, Chun-Chi Wang, Wei-Lung Mao
In this paper, we propose a YOLO-based deep learning (DL) model for automatic defect detection to solve the time-consuming and labor-intensive tasks in industrial manufacturing. In…