Gaharu Sensor: Classification using Case Based Reasoning (CBR)

Agriculture was an important industry, which has an economic impact of trading goods for others application such as perfume, aromatherapy and others. Agar wood one of high value products that give economic impact for several of the countries which price of agar wood to its certain grade. The grades...

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Main Authors:	Muhamad Faruqi, Zahari, M. S., Najib, Kamarul Hawari, Ghazali, Fathimah, Abdul Halim, Saiful Nizam, Tajuddin, Erny Haslina, Abd Latib
Format:	Article
Language:	English English
Published:	Penerbit UMP 2016
Subjects:	Q Science (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/9783/ http://umpir.ump.edu.my/id/eprint/9783/ http://umpir.ump.edu.my/id/eprint/9783/1/Gaharu%20Sensor%20Classification%20Using%20Case%20Based%20Reasoning%20%28CBR%29.pdf http://umpir.ump.edu.my/id/eprint/9783/7/fkee-2016-sharfi-Gaharu%20Sensor%20Classification%20Using%20Case%20Based.pdf

id	ump-9783
recordtype	eprints
spelling	ump-97832018-02-21T05:05:04Z http://umpir.ump.edu.my/id/eprint/9783/ Gaharu Sensor: Classification using Case Based Reasoning (CBR) Muhamad Faruqi, Zahari M. S., Najib Kamarul Hawari, Ghazali Fathimah, Abdul Halim Saiful Nizam, Tajuddin Erny Haslina, Abd Latib Q Science (General) TK Electrical engineering. Electronics Nuclear engineering Agriculture was an important industry, which has an economic impact of trading goods for others application such as perfume, aromatherapy and others. Agar wood one of high value products that give economic impact for several of the countries which price of agar wood to its certain grade. The grades were manipulated by traders to get higher price using lower grade. 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 96.3% nearly to 100% of accuracy. Penerbit UMP 2016 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/9783/1/Gaharu%20Sensor%20Classification%20Using%20Case%20Based%20Reasoning%20%28CBR%29.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/9783/7/fkee-2016-sharfi-Gaharu%20Sensor%20Classification%20Using%20Case%20Based.pdf Muhamad Faruqi, Zahari and M. S., Najib and Kamarul Hawari, Ghazali and Fathimah, Abdul Halim and Saiful Nizam, Tajuddin and Erny Haslina, Abd Latib (2016) Gaharu Sensor: Classification using Case Based Reasoning (CBR). Journal of Electrical, Electronics, Control and Instrumentations Engineering (JEECIE), 1 (8). pp. 38-41. ISSN 2462-2303 http://apps-cfm.ump.edu.my/research/jeecie/manuscript/304/JEECIEV1N8.pdf
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	Q Science (General) TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	Q Science (General) TK Electrical engineering. Electronics Nuclear engineering Muhamad Faruqi, Zahari M. S., Najib Kamarul Hawari, Ghazali Fathimah, Abdul Halim Saiful Nizam, Tajuddin Erny Haslina, Abd Latib Gaharu Sensor: Classification using Case Based Reasoning (CBR)
description	Agriculture was an important industry, which has an economic impact of trading goods for others application such as perfume, aromatherapy and others. Agar wood one of high value products that give economic impact for several of the countries which price of agar wood to its certain grade. The grades were manipulated by traders to get higher price using lower grade. 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 96.3% nearly to 100% of accuracy.
format	Article
author	Muhamad Faruqi, Zahari M. S., Najib Kamarul Hawari, Ghazali Fathimah, Abdul Halim Saiful Nizam, Tajuddin Erny Haslina, Abd Latib
author_facet	Muhamad Faruqi, Zahari M. S., Najib Kamarul Hawari, Ghazali Fathimah, Abdul Halim Saiful Nizam, Tajuddin Erny Haslina, Abd Latib
author_sort	Muhamad Faruqi, Zahari
title	Gaharu Sensor: Classification using Case Based Reasoning (CBR)
title_short	Gaharu Sensor: Classification using Case Based Reasoning (CBR)
title_full	Gaharu Sensor: Classification using Case Based Reasoning (CBR)
title_fullStr	Gaharu Sensor: Classification using Case Based Reasoning (CBR)
title_full_unstemmed	Gaharu Sensor: Classification using Case Based Reasoning (CBR)
title_sort	gaharu sensor: classification using case based reasoning (cbr)
publisher	Penerbit UMP
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/9783/ http://umpir.ump.edu.my/id/eprint/9783/ http://umpir.ump.edu.my/id/eprint/9783/1/Gaharu%20Sensor%20Classification%20Using%20Case%20Based%20Reasoning%20%28CBR%29.pdf http://umpir.ump.edu.my/id/eprint/9783/7/fkee-2016-sharfi-Gaharu%20Sensor%20Classification%20Using%20Case%20Based.pdf
first_indexed	2023-09-18T22:08:43Z
last_indexed	2023-09-18T22:08:43Z
_version_	1777414883037413376

Gaharu Sensor: Classification using Case Based Reasoning (CBR)

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