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dc.contributor.authorMohd Noor, Ahmad
dc.contributor.authorYap, Maxsim Mee Sim
dc.contributor.authorMohd Kamal, Mohamed
dc.contributor.authorRamly, Nil
dc.contributor.authorAli Yeon, Md Shakaff
dc.contributor.authorChang, Chew-Cheen
dc.date.accessioned2008-09-16T07:40:21Z
dc.date.available2008-09-16T07:40:21Z
dc.date.issued2004
dc.identifier.citationJournal of Engineering Research and Education, vol. 1, 2004, pages 75-84.en_US
dc.identifier.issn1823-2981
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/2292
dc.identifier.urihttp://jere.unimap.edu.myen_US
dc.descriptionLink to publisher's homepage at http://jere.unimap.edu.myen_US
dc.description.abstractIn 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 assessmenten_US
dc.language.isoenen_US
dc.publisherKolej Universiti Kejuruteraan Utara Malaysiaen_US
dc.subjectHebal analysisen_US
dc.subjectArray sensoren_US
dc.subjectPattern recognitionen_US
dc.subjectPrincipal component analysisen_US
dc.subjectHerbsen_US
dc.subjectPattern perceptionen_US
dc.titleLabview™ for Nutra-Biostrip in Herbal Quality Assessmenten_US
dc.typeArticleen_US


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