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Diagnosis of bacteria for diabetic foot infection using electronic nose technology
(IEEE Computer Society, 2013)
Foot infections may lead to serious complications if failed to detect at an early stage; especially for diabetic patients. It is necessary to develop an easy and reliable method to identify and classify the causative ...
Comparing the classification performance of multi sensor data fusion based on feature extraction and feature selection
(Universiti Malaysia Perlis (UniMAP), 2012-02-27)
Linear discriminant analysis (LDA) has been widely
used in the classification of multi sensor data fusion. This paper
discusses the performance of LDA when the classifications were
performed based on feature extraction ...
Improved classification of Orthosiphon stamineus by data fusion of electronic nose and tongue sensors
(MDPI Publishing, 2010-09-28)
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 ...
Determination of honey floral origin using data fusion of electronic taste and smell sensing system
(Universiti Malaysia Perlis (UniMAP), 2010-06-02)
Determination of honey classification based on floral origin requires expensive instrument and/or labor intensive expert personnel. In this study, electronic taste sensing and smell sensing systems were used to determine ...
Comparison of Matlab’s multivariate analysis for qualitative and quantitative electronic taste sensing system
(Universiti Malaysia Perlis (UniMAP), 2010-06-02)
A taste sensing system has been put in place by a
team of Unimap’s researchers using an array of
sensors and ‘off the shelf’ components.
Qualitative and quantitative ‘tasting’ data
(multi-dimensions) were subjected ...