Anomalous Sound Detection (ASD) systems are pivotal in the Industrial Internet of Things (IIoT). Through the early detection of machines' anomalies, these systems facilitate proactive maintenance, thereby mitigating potential losses. Although prior studies have improved system accuracy using various advanced machine learning technologies, they frequently neglect the associated substantial computing and storage demands, which are crucial in resource-constrained IIoT environments.
View Article and Find Full Text PDFIEEE J Biomed Health Inform
May 2023
Compressed sensing (CS) has drawn much attention in electrocardiography (ECG) signal monitoring for its effectiveness in reducing the transmission power of wireless sensor systems. Compressed analysis (CA) is an improved methodology to further elevate the system's efficiency by directly performing classification on the compressed data at the back-end of the monitoring system. However, conventional CA lacks of considering the effect of noise, which is an essential issue in practical applications.
View Article and Find Full Text PDFObjectives: This study aimed to describe the epidemiology of HIV infection and sexually transmitted infections (STIs) among persons who attended voluntary counselling and testing (VCT) service for HIV and to assess whether the VCT programme reached the right population at risk in Taiwan.
Methods: From 2006 to 2010, questionnaire interview, integrated pretesting and post-testing counselling, followed by serological tests for HIV, Treponema pallidum and Entamoeba histolytica were performed for all VCT clients; additional tests for Chlamydia trachomatis and Neisseria gonorrhoeae using PCR assays of urine specimens were provided when the assays became available in two periods.
Results: During the study period, 10 198 VCT attendances occurred in 6863 clients, in whom 1685 (24.