Citation

Kok, Adrian Eng Hock and Chan, Yee Kit and Koo, Voon Chet (2023) Real Time Metrological Grade Monitoring Stations With AI Analysis. In: 1st FET PG Engineering Colloquium Proceedings 2023, 16 June - 15 July 2023, Multimedia University, Malaysia. (Submitted)

Text 21_PPM Poster_CRSST_Adrian_June2023.pdf Restricted to Registered users only Download (296kB)

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)
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	15 Aug 2023 01:38
Last Modified:	15 Aug 2023 01:38
URII:	http://shdl.mmu.edu.my/id/eprint/11620

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