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Full-Text Articles in VLSI and Circuits, Embedded and Hardware Systems
Development Of A Low-Cost Resistivity Meter For Local Groundwater Survey, Jose Claro N. Monje, Ma. Leonora Guico, Carlos M. Oppus, Mark Glenn F. Retirado, Alfonso Rafael Cuezon, Justin Bryce M. Torres
Development Of A Low-Cost Resistivity Meter For Local Groundwater Survey, Jose Claro N. Monje, Ma. Leonora Guico, Carlos M. Oppus, Mark Glenn F. Retirado, Alfonso Rafael Cuezon, Justin Bryce M. Torres
Electronics, Computer, and Communications Engineering Faculty Publications
The researchers developed a low-cost resistivity meter with a built-in data file storage system using locally available parts. This effort was done in partnership with the National Water Resources Board and the Department of Science and Technology under the Water for Tourism project for water quality monitoring in tourist areas in the Philippines such as Boracay and Caticlan. The resistivity meter system consists of a power supply module, a sensor module, and an equipment module, built using locally available materials and equipment, emulating the commercially available PASI model 16 GL-N. Due to pandemic restrictions, the developed prototype could only be …
Performance Evaluation Of Face Mask Detection For Real-Time Implementation On An Rpi, Ivan George L. Tarun, Vidal Wyatt M. Lopez, Pamela Anne C. Serrano, Patricia Angela R. Abu, Rosula Reyes, Ma. Regina Justina Estuar
Performance Evaluation Of Face Mask Detection For Real-Time Implementation On An Rpi, Ivan George L. Tarun, Vidal Wyatt M. Lopez, Pamela Anne C. Serrano, Patricia Angela R. Abu, Rosula Reyes, Ma. Regina Justina Estuar
Department of Information Systems & Computer Science Faculty Publications
Mask-wearing remains to be one of the primary protective measures against COVID-19. To address the difficulty of manual compliance monitoring, face mask detection models considerate of both frontal and angled faces were developed. This study aimed to test the performance of the said models in classifying multi-face images and upon running on a Raspberry Pi device. The accuracies and inference speeds were measured and compared when inferencing images with one, two, and three faces and on the desktop and the Raspberry Pi. With an increasing number of faces in an image, the models’ accuracies were observed to decline, while their …