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Classification of Ammonia Odor-profile Using k-NN Technique

Fathimah, Abdul Halim and M. S., Najib and Kamarul Hawari, Ghazali and Muhamad Faruqi, Zahari and Abdul Aziz, Mohd Azoddein (2016) Classification of Ammonia Odor-profile Using k-NN Technique. Journal of Electrical, Electronics, Control and Instrumentations Engineering (JEECIE), 1 (9). pp. 42-46. ISSN 2462-2303

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Abstract

This paper presents the application of k-NN in classifying the low and high concentration of ammonia. High concentration of ammonia in water causes serious problematic to water environment and living things in water. Instruments that can directly detect ammonia concentration without any chemical treatment added is limited. Thus, this paper presents detection of ammonia using E-nose and the classification of ammonia in water using k- nearest neighbor (k-NN).

Item Type: Article
Additional Information: Colloquium on Robotics, Unmanned Systems and Cybernetics 2014 (CRUSC), Universiti Malaysia Pahang, 20 November 2014
Uncontrolled Keywords: Ammonia, Classification, k-NN, E-Nose.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TP Chemical technology
Faculty/Division: Faculty of Chemical & Natural Resources Engineering
Faculty of Electrical & Electronic Engineering
Depositing User: Mr. Mohd Fakhrurrazi Adnan
Date Deposited: 26 Oct 2015 03:29
Last Modified: 22 Jan 2018 03:40
URI: http://umpir.ump.edu.my/id/eprint/9755
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