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)
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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