Novel techniques for pattern recognition, processing and analyzing data for contaminant and nutrient monitoring using an ion-selective electrode array (Electronic Tongue Systems) /
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(Published version)
Date
2011
Authors
Wang, Liang,
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thesis
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Abstract
This research is focused on developing novel or innovative algorithms to improve the pattern recognition accuracy of Electronic Tongue (ET) systems. Using an ion-selective electrode (ISE) sensor array, the novel algorithm removed major interferences to deliver simultaneous and accurate readings of multiple ion concentrations in water samples. The relationships between ISEs and their interfering ions are explored mathematically and consequently results can be obtained rapidly and accurately. In the application to environmental assessment, a novel system can be implemented to monitor irrigation waters.
School/Discipline
University of South Australia. Centre for Environmental Risk Assessment and Remediation.
Centre for Environmental Risk Assessment and Remediation
Centre for Environmental Risk Assessment and Remediation
Dissertation Note
Thesis (PhD)--University of South Australia, 2011.
Provenance
Copyright 2011 by Liang Wang. This work is made available under the Creative Commons Attribution-NonCommercial-NoDerivs Australia 3.0 licence (http://creativecommons.org/licenses/by-nc-nd/3.0/au/)
Description
1 ethesis (xx, 213 pages) :
illustrations (chiefly colour)
Includes bibliographical references (pages 191-204)
illustrations (chiefly colour)
Includes bibliographical references (pages 191-204)
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506 0#$fstar $2Unrestricted online access