Citation
Kok, Adrian Eng Hock and Chan, Yee Kit and Koo, Voon Chet (2023) Real Time Metrological Grade Monitoring Stations With AI Analysis. In: 2nd FET PG Engineering Colloquium Proceedings 2023, 1-31 December 2023, Multimedia University, Malaysia. (Submitted)
Other (Poster)
7. PPM Poster- Adrian - Lim Chee Siong.pdf - Submitted Version Restricted to Repository staff only Download (269kB) |
Abstract
Air pollution is one the major contributor to global warming. The research will bring a step closer to enable monitoring of air pollutions particularly on the particle measurements with accuracy of metrological stations with Internet of Things (IoT) node as a medium of gathering sensors data and ease of mass deployment.
Item Type: | Conference or Workshop Item (Poster) |
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Uncontrolled Keywords: | Internet of Things (IoT) |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television |
Divisions: | Faculty of Engineering and Technology (FET) |
Depositing User: | Ms Rosnani Abd Wahab |
Date Deposited: | 03 Apr 2024 01:35 |
Last Modified: | 03 Apr 2024 01:35 |
URII: | http://shdl.mmu.edu.my/id/eprint/12345 |
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