Intelligent clasification sewage treatment plant (STP) using E-nose

Fatin Munirah, Nasarudin and Muhammad Sharfi, Najib and Suhaimi, Mohd Daud and Mujahid, Mohamad and Saiful Nizam, Tajuddin and Che Mohd Aizal, Che Mohd (2020) Intelligent clasification sewage treatment plant (STP) using E-nose. Mekatronika - Journal of Intelligent Manufacturing & Mechatronics, 2 (1). pp. 79-88. ISSN 2637-0883. (Published)

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Abstract

The environment is an invaluable gift. In an era of progress, economic activities and development projects are often carried out to improve living standards and keep pace with other developed countries. However, this activity has had a negative impact on the environment because some parties still fail to control the disposal of waste that can cause environmental pollution. The effects of this pollution can give to discomfort and disruption to the life of the community. It is because the effects of toxic emissions have caused air pollution to spread foul odors. Therefore, this study was conducted to classify air odor and water odor from the treatment plant in the area of Universiti Malaysia Pahang, Gambang Campus. The classification of air and water odors was done using case-based reasoning.

Item Type: Article
Uncontrolled Keywords: Sewage treatment plant; Odor-profile; e-nose; case-based reasoning
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TS Manufactures
Faculty/Division: Faculty of Industrial Sciences And Technology
Institute of Postgraduate Studies
Faculty of Manufacturing and Mechatronic Engineering Technology
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 05 Apr 2022 03:15
Last Modified: 05 Apr 2022 03:15
URI: http://umpir.ump.edu.my/id/eprint/33624
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