Classification of Ammonia in water for Oil and Gas Industry using Case Based Reasoning (CBR)

Toxic gasses are exists in environment such as benzene, ammonia and others. Ammonia highly dissolves in water which is sources of human and other species. If the ammonia have high concentration, the effect of human health will be dangerous. Then, using proper monitoring and wastewater management the...

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Main Authors:	Muhamad Faruqi, Zahari, M. S., Najib, Kamarul Hawari, Ghazali, Fathimah, Abdul Halim, Abdul Aziz, Mohd Azoddein
Format:	Article
Language:	English English
Published:	Penerbit UMP 2016
Subjects:	TK Electrical engineering. Electronics Nuclear engineering TP Chemical technology
Online Access:	http://umpir.ump.edu.my/id/eprint/9762/ http://umpir.ump.edu.my/id/eprint/9762/ http://umpir.ump.edu.my/id/eprint/9762/1/Classification%20of%20Ammonia%20in%20water%20for%20Oil%20and%20Gas%20Industry%20using%20Case.pdf http://umpir.ump.edu.my/id/eprint/9762/7/fkee-2016-sharfi-Classification%20of%20Ammonia%20in%20water%20for%20Oil.pdf

id	ump-9762
recordtype	eprints
spelling	ump-97622018-01-22T03:45:13Z http://umpir.ump.edu.my/id/eprint/9762/ Classification of Ammonia in water for Oil and Gas Industry using Case Based Reasoning (CBR) Muhamad Faruqi, Zahari M. S., Najib Kamarul Hawari, Ghazali Fathimah, Abdul Halim Abdul Aziz, Mohd Azoddein TK Electrical engineering. Electronics Nuclear engineering TP Chemical technology Toxic gasses are exists in environment such as benzene, ammonia and others. Ammonia highly dissolves in water which is sources of human and other species. If the ammonia have high concentration, the effect of human health will be dangerous. Then, using proper monitoring and wastewater management the hazard can be prevented. This paper proposed the intelligence classification technique using an Electronic Nose (E-nose) measurement.The sensor array in the E - nose are used for the inputs of the Case Based Reasoning (CBR) for intelligent classification. The experimental result shows that the technique accomplished to classify with high accuracy which is 100% of accuracy. Penerbit UMP 2016 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/9762/1/Classification%20of%20Ammonia%20in%20water%20for%20Oil%20and%20Gas%20Industry%20using%20Case.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/9762/7/fkee-2016-sharfi-Classification%20of%20Ammonia%20in%20water%20for%20Oil.pdf Muhamad Faruqi, Zahari and M. S., Najib and Kamarul Hawari, Ghazali and Fathimah, Abdul Halim and Abdul Aziz, Mohd Azoddein (2016) Classification of Ammonia in water for Oil and Gas Industry using Case Based Reasoning (CBR). Journal of Electrical, Electronics, Control and Instrumentations Engineering (JEECIE), 1 (7). pp. 34-37. ISSN 2462-2303 http://apps-cfm.ump.edu.my/research/jeecie/manuscript/303/JEECIEV1N7.pdf
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering TP Chemical technology
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering TP Chemical technology Muhamad Faruqi, Zahari M. S., Najib Kamarul Hawari, Ghazali Fathimah, Abdul Halim Abdul Aziz, Mohd Azoddein Classification of Ammonia in water for Oil and Gas Industry using Case Based Reasoning (CBR)
description	Toxic gasses are exists in environment such as benzene, ammonia and others. Ammonia highly dissolves in water which is sources of human and other species. If the ammonia have high concentration, the effect of human health will be dangerous. Then, using proper monitoring and wastewater management the hazard can be prevented. This paper proposed the intelligence classification technique using an Electronic Nose (E-nose) measurement.The sensor array in the E - nose are used for the inputs of the Case Based Reasoning (CBR) for intelligent classification. The experimental result shows that the technique accomplished to classify with high accuracy which is 100% of accuracy.
format	Article
author	Muhamad Faruqi, Zahari M. S., Najib Kamarul Hawari, Ghazali Fathimah, Abdul Halim Abdul Aziz, Mohd Azoddein
author_facet	Muhamad Faruqi, Zahari M. S., Najib Kamarul Hawari, Ghazali Fathimah, Abdul Halim Abdul Aziz, Mohd Azoddein
author_sort	Muhamad Faruqi, Zahari
title	Classification of Ammonia in water for Oil and Gas Industry using Case Based Reasoning (CBR)
title_short	Classification of Ammonia in water for Oil and Gas Industry using Case Based Reasoning (CBR)
title_full	Classification of Ammonia in water for Oil and Gas Industry using Case Based Reasoning (CBR)
title_fullStr	Classification of Ammonia in water for Oil and Gas Industry using Case Based Reasoning (CBR)
title_full_unstemmed	Classification of Ammonia in water for Oil and Gas Industry using Case Based Reasoning (CBR)
title_sort	classification of ammonia in water for oil and gas industry using case based reasoning (cbr)
publisher	Penerbit UMP
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/9762/ http://umpir.ump.edu.my/id/eprint/9762/ http://umpir.ump.edu.my/id/eprint/9762/1/Classification%20of%20Ammonia%20in%20water%20for%20Oil%20and%20Gas%20Industry%20using%20Case.pdf http://umpir.ump.edu.my/id/eprint/9762/7/fkee-2016-sharfi-Classification%20of%20Ammonia%20in%20water%20for%20Oil.pdf
first_indexed	2023-09-18T22:08:40Z
last_indexed	2023-09-18T22:08:40Z
_version_	1777414880171655168

Classification of Ammonia in water for Oil and Gas Industry using Case Based Reasoning (CBR)

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