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http://dspace.unimap.edu.my:80/xmlui/handle/123456789/11300
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DC Field | Value | Language |
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dc.contributor.author | Ammar, Zakaria | - |
dc.contributor.author | Ali Yeon, Md. Shakaff, Prof. Dr. | - |
dc.contributor.author | Abdul Hamid, Adom, Assoc. Prof. Dr. | - |
dc.contributor.author | Mohd Noor, Ahmad | - |
dc.contributor.author | Maz Jamilah, Masnan | - |
dc.contributor.author | Abdul Hallis, Abd Aziz | - |
dc.contributor.author | Nazifah, Ahmad Fikri | - |
dc.contributor.author | Abu Hassan, Abdullah | - |
dc.contributor.author | Latifah Munirah, Kamarudin | - |
dc.date.accessioned | 2011-03-14T05:21:24Z | - |
dc.date.available | 2011-03-14T05:21:24Z | - |
dc.date.issued | 2010-09-28 | - |
dc.identifier.citation | Sensors, vol. 10(10), 2010, pages 8782-8796 | en_US |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.uri | http://www.mdpi.com/1424-8220/10/10/8782/ | - |
dc.identifier.uri | http://dspace.unimap.edu.my/123456789/11300 | - |
dc.description | Link to publisher's homepage at http://www.mdpi.com/ | en_US |
dc.description.abstract | An 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.iso | en | en_US |
dc.publisher | MDPI Publishing | en_US |
dc.subject | Data fusion | en_US |
dc.subject | Electronic nose | en_US |
dc.subject | Electronic tongue | en_US |
dc.subject | Linear Discriminant Analysis (LDA) | en_US |
dc.subject | Orthosiphon stamineus | en_US |
dc.subject | Principal Component Analysis (PCA) | en_US |
dc.title | Improved classification of Orthosiphon stamineus by data fusion of electronic nose and tongue sensors | en_US |
dc.type | Article | en_US |
dc.contributor.url | aliyeon@unimap.edu.my | en_US |
dc.contributor.url | abdhamid@unimap.edu.my | en_US |
dc.contributor.url | mohdnoor@unimap.edu.my | en_US |
dc.contributor.url | mazjamilah@unimap.edu.my | en_US |
dc.contributor.url | abdulhallis@unimap.edu.my | en_US |
dc.contributor.url | naffe_five@yahoo.com | en_US |
dc.contributor.url | abuhassan@unimap.edu.my | en_US |
dc.contributor.url | munirahkamarudin@gmail.com | en_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. |
Files in This Item:
File | Description | Size | Format | |
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sensors.pdf | 251.79 kB | Adobe PDF | View/Open |
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