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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/2292

Title: Labview™ for Nutra-Biostrip in Herbal Quality Assessment
Authors: Mohd Noor, Ahmad
Yap, Maxsim Mee Sim
Mohd Kamal, Mohamed
Ramly, Nil
Ali Yeon, Md Shakaff
Chang, Chew-Cheen
Keywords: Hebal analysis;Array sensor;Pattern recognition;Principal component analysis;Herbs;Pattern perception
Issue Date: 2004
Publisher: Kolej Universiti Kejuruteraan Utara Malaysia
Citation: Journal of Engineering Research and Education, vol. 1, 2004, pages 75-84.
Abstract: In this work, we introduce the approach on the development of a stand-alone laptop based data acquisition of an array sensor system, namely Nutra-BioStrip coupled with pattern recognition algorithm for herbal quality assessment. The array sensor system control program, developed in LabView 6.1 programming languages allow data acquired from the array sensor to be analyzed by means of Principal Component Analysis (PCA) and displayed in the form of an interactive two-dimensional cluster mapping with detail statistical analysis results for rapid and real-time herbal quality assessment
Description: Link to publisher's homepage at http://jere.unimap.edu.my
URI: http://hdl.handle.net/123456789/2292
ISSN: 1823-2981
Appears in Collections:Journal of Engineering Research and Education (JERE)
Ali Yeon, Md Shakaff, Prof. Dr.

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