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dc.contributor.authorAmmar, Zakaria-
dc.contributor.authorAli Yeon, Md. Shakaff, Prof. Dr.-
dc.contributor.authorAbdul Hamid, Adom, Assoc. Prof. Dr.-
dc.contributor.authorMohd Noor, Ahmad-
dc.contributor.authorMaz Jamilah, Masnan-
dc.contributor.authorAbdul Hallis, Abd Aziz-
dc.contributor.authorNazifah, Ahmad Fikri-
dc.contributor.authorAbu Hassan, Abdullah-
dc.contributor.authorLatifah Munirah, Kamarudin-
dc.date.accessioned2011-03-14T05:21:24Z-
dc.date.available2011-03-14T05:21:24Z-
dc.date.issued2010-09-28-
dc.identifier.citationSensors, vol. 10(10), 2010, pages 8782-8796en_US
dc.identifier.issn1424-8220-
dc.identifier.urihttp://www.mdpi.com/1424-8220/10/10/8782/-
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/11300-
dc.descriptionLink to publisher's homepage at http://www.mdpi.com/en_US
dc.description.abstractAn improved classification of Orthosiphon stamineus using a data fusion technique is presented. Five different commercial sources along with freshly prepared samples were discriminated using an electronic nose (e-nose) and an electronic tongue (e-tongue). Samples from the different commercial brands were evaluated by the e-tongue and then followed by the e-nose. Applying Principal Component Analysis (PCA) separately on the respective e-tongue and e-nose data, only five distinct groups were projected. However, by employing a low level data fusion technique, six distinct groupings were achieved. Hence, this technique can enhance the ability of PCA to analyze the complex samples of Orthosiphon stamineus. Linear Discriminant Analysis (LDA) was then used to further validate and classify the samples. It was found that the LDA performance was also improved when the responses from the e-nose and e-tongue were fused together.en_US
dc.language.isoenen_US
dc.publisherMDPI Publishingen_US
dc.subjectData fusionen_US
dc.subjectElectronic noseen_US
dc.subjectElectronic tongueen_US
dc.subjectLinear Discriminant Analysis (LDA)en_US
dc.subjectOrthosiphon stamineusen_US
dc.subjectPrincipal Component Analysis (PCA)en_US
dc.titleImproved classification of Orthosiphon stamineus by data fusion of electronic nose and tongue sensorsen_US
dc.typeArticleen_US
dc.contributor.urlaliyeon@unimap.edu.myen_US
dc.contributor.urlabdhamid@unimap.edu.myen_US
dc.contributor.urlmohdnoor@unimap.edu.myen_US
dc.contributor.urlmazjamilah@unimap.edu.myen_US
dc.contributor.urlabdulhallis@unimap.edu.myen_US
dc.contributor.urlnaffe_five@yahoo.comen_US
dc.contributor.urlabuhassan@unimap.edu.myen_US
dc.contributor.urlmunirahkamarudin@gmail.comen_US
Appears in Collections:School of Mechatronic Engineering (Articles)
Ali Yeon Md Shakaff, Dato' Prof. Dr.
Abdul Hamid Adom, Prof. Dr.
Ammar Zakaria, Associate Professor Dr.
Abu Hassan Abdullah, Associate Prof. Ir. Ts. Dr.

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