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Determination of honey floral origin using data fusion of electronic taste and smell sensing system

1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010 organized by Universiti Malaysia Perlis (UniMAP) and co-organized by Universiti Sains Malaysia (USM) & Universiti Kebangsaan Malaysia (UKM), 2nd - 3rd June 2010 at Eastern & Oriental Hotel, Penang.

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Bibliographic Details
Main Authors: Abdul Hallis, Abdul Aziz, Ammar, Zakaria, Ali Yeon, Md Shakaff, Prof., Abdul Hamid, Adom, Prof. Madya Dr., Maz Jamilah, Masnan
Other Authors: abdulhallis@unimap.edu.my
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2010
Subjects:
Multivariate analysis
Principle component analysis
Data fusion
Biomimetic
Taste sensor
Smell sensor
Regional Conference on Applied and Engineering Mathematics (RCAEM)
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/10268
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spelling my.unimap-102682010-11-23T04:24:55Z Determination of honey floral origin using data fusion of electronic taste and smell sensing system Abdul Hallis, Abdul Aziz Ammar, Zakaria Ali Yeon, Md Shakaff, Prof. Abdul Hamid, Adom, Prof. Madya Dr. Maz Jamilah, Masnan abdulhallis@unimap.edu.my mazjamilah@unimap.edu.my Multivariate analysis Principle component analysis Data fusion Biomimetic Taste sensor Smell sensor Regional Conference on Applied and Engineering Mathematics (RCAEM) 1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010 organized by Universiti Malaysia Perlis (UniMAP) and co-organized by Universiti Sains Malaysia (USM) & Universiti Kebangsaan Malaysia (UKM), 2nd - 3rd June 2010 at Eastern & Oriental Hotel, Penang. Determination of honey classification based on floral origin requires expensive instrument and/or labor intensive expert personnel. In this study, electronic taste sensing and smell sensing systems were used to determine the floral origin of six varieties of honey from a local manufacturer. Classification using principal component analysis (PCA) on taste or smell data alone yields closely separated groups. Classification of fused data of taste and smell shows superiority to classification of taste or smell data alone. This study also shows that smaller number of (combined taste and smell) sensor is possible to properly classify honeys. 2010-11-23T04:24:55Z 2010-11-23T04:24:55Z 2010-06-02 Working Paper Vol.1(32), p.183-184 http://hdl.handle.net/123456789/10268 en Proceedings of the 1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010 Universiti Malaysia Perlis (UniMAP) Institut Matematik Kejuruteraan
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Multivariate analysis
Principle component analysis
Data fusion
Biomimetic
Taste sensor
Smell sensor
Regional Conference on Applied and Engineering Mathematics (RCAEM)
spellingShingle Multivariate analysis
Principle component analysis
Data fusion
Biomimetic
Taste sensor
Smell sensor
Regional Conference on Applied and Engineering Mathematics (RCAEM)
Abdul Hallis, Abdul Aziz
Ammar, Zakaria
Ali Yeon, Md Shakaff, Prof.
Abdul Hamid, Adom, Prof. Madya Dr.
Maz Jamilah, Masnan
Determination of honey floral origin using data fusion of electronic taste and smell sensing system
description 1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010 organized by Universiti Malaysia Perlis (UniMAP) and co-organized by Universiti Sains Malaysia (USM) & Universiti Kebangsaan Malaysia (UKM), 2nd - 3rd June 2010 at Eastern & Oriental Hotel, Penang.
author2 abdulhallis@unimap.edu.my
author_facet abdulhallis@unimap.edu.my
Abdul Hallis, Abdul Aziz
Ammar, Zakaria
Ali Yeon, Md Shakaff, Prof.
Abdul Hamid, Adom, Prof. Madya Dr.
Maz Jamilah, Masnan
format Working Paper
author Abdul Hallis, Abdul Aziz
Ammar, Zakaria
Ali Yeon, Md Shakaff, Prof.
Abdul Hamid, Adom, Prof. Madya Dr.
Maz Jamilah, Masnan
author_sort Abdul Hallis, Abdul Aziz
title Determination of honey floral origin using data fusion of electronic taste and smell sensing system
title_short Determination of honey floral origin using data fusion of electronic taste and smell sensing system
title_full Determination of honey floral origin using data fusion of electronic taste and smell sensing system
title_fullStr Determination of honey floral origin using data fusion of electronic taste and smell sensing system
title_full_unstemmed Determination of honey floral origin using data fusion of electronic taste and smell sensing system
title_sort determination of honey floral origin using data fusion of electronic taste and smell sensing system
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2010
url http://dspace.unimap.edu.my/xmlui/handle/123456789/10268
_version_ 1643789783414079488
score 13.214268

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