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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/14052

Title: Sensor fusion of electronic nose and electronic tongue for classification of Orthosiphon stamineus
Authors: Azmi, Zakaria
Ali Yeon, Md Shakaff, Prof. Dr.
Abdul Hamid, Adom, Assoc. Prof. Dr.
Mansur N., Ahmad
Abd. Razak, Shaari
Mahmad Nor, Jaafar, Prof. Madya
Abu Hassan, Abdullah
Nazifah A., Fikri
Latifah Munirah, Kamarudin
Keywords: Chalcogenide;Competitive learning;Cyranose320;Data fusion;Multimodalities;Orthosiphon stamineus
Issue Date: Apr-2011
Publisher: American Scientific Publishers
Citation: Sensor Letters, vol. 9 (2), 2011, pages 837-840
Abstract: Sensor fusion of electronic nose (e-nose) and electronic tongue (e-tongue) has lead to an improved classification of Orthosiphon stamineus (also known as Misai Kucing). The fusion technique was presented and compared with individual assessment using e-nose and e-tongue separately. Three different commercial sources along with freshly prepared sample were discriminated using an e-nose and an e-tongue. Headspace of these dried Orthosiphon stamineus leaves and brewed samples were measured and compared using e-nose in order to determine the optimum setting for experimental setup and sniffing cycle. Applying the Principal Component Analysis (PCA) separately on the respective e-tongue and e-nose data, only three distinct classes can be classified. However, by employing an improved technique of data fusion of the two modalities, classification of the four distinct groups was achieved.
Description: Link to publisher's homepage at www.aspbs.com/
URI: http://lambda.qsensei.com/content/1pw0ww
http://hdl.handle.net/123456789/14052
ISSN: 1546-198X
Appears in Collections:Abu Hassan Abdullah, Dr.
School of Mechatronic Engineering (Articles)
Ali Yeon, Md Shakaff, Prof. Dr.
Abdul Hamid Adom, Prof. Dr.
Institute of Sustainable Agrotechnology (Articles)

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