NDLI: E-tongue based classification and authentication of mineral water samples following principal component analysis and Sammon's nonlinear mapping

Content Provider	IEEE Xplore Digital Library
Author	Kundu, P.K. Kundu, M.
Copyright Year	2011
Description	Author affiliation: Department of Chemical Engineering, National Institute of Technology, Rourkela, India (Kundu, M.) \|\| Electrical Engineering Department, Jadavpur University, Kolkata, India (Kundu, P.K.)
Abstract	Present paper proposes the development of E-tongue based water sample classification and authentication using principal component analysis (PCA) enhanced by Sammon's nonlinear mapping method. The eigen value based selection criterion of principal component dimensions in PCA technique has been supplanted by Sammon's mapping in the proposed work. This technique used experimental measurements from a pulse voltametry method which is based on electronic tongue (E-tongue) instrumentation system with silver electrode. The E-tongue system, implemented in a laboratory environment for six numbers of different water samples (Aquafina, Bisleri, Kingfisher, Oasis, Dolphin, and McDowell) available in India was the data source for the present study. The proposed method emancipated encouraging discrimination power with their excellent performances for aforesaid categories of water samples.
Starting Page	1
Ending Page	5
File Size	346148
Page Count	5
File Format	PDF
ISBN	9781457719158
e-ISBN	9781457719172
DOI	10.1109/ICCIndA.2011.6146649
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-26
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrodes Tongue Electronic tongue Instruments Bismuth Feature extraction Sammon's nonlinear mapping Vectors Pulse voltametry Principal component analysis Water sample discrimination PCA
Content Type	Text
Resource Type	Article

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