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Fuser design for thick film pH sensor electrodes using empirical data

Fuser design for thick film pH sensor electrodes using empirical data
Fuser design for thick film pH sensor electrodes using empirical data
An array of thick film pH sensor electrodes has been fused using two separate fuser designs: the feedforward neural network and Nadaraya-Watson kernel estimator. In both cases the fuser is based on empirical data rather than analytical sensor models. Complementary sensor responses have been obtained by fabricating sensors using different metal oxides. This approach provides some immunity to interference caused by the ionic composition of the solution being sensed. The Nadaraya-Watson estimator is shown to provide a useful alternative to the feedforward neural network for multisensor fusion where sensor distributions are unknown. Indicative test results are provided for the measurement of pH in printing ink. The results confirm that the fused results are more accurate than those obtained using the single best sensor, or simple fusion schemes such as averaging or majority voting.
0819444812
302-309
International Society for Optical Engineering
Wellington, Sean
9dadcee4-c57d-4411-84b7-7d43c7e8edd0
Atkinson, John
5e9729b2-0e1f-400d-a889-c74f6390ea58
Sion, Russ
ef48864b-2349-4bf9-a48a-934429e48b3d
Dasarathy, Belur V.
Wellington, Sean
9dadcee4-c57d-4411-84b7-7d43c7e8edd0
Atkinson, John
5e9729b2-0e1f-400d-a889-c74f6390ea58
Sion, Russ
ef48864b-2349-4bf9-a48a-934429e48b3d
Dasarathy, Belur V.

Wellington, Sean, Atkinson, John and Sion, Russ (2002) Fuser design for thick film pH sensor electrodes using empirical data. Dasarathy, Belur V. (ed.) In Sensor Fusion: Architectures, Algorithms, and Applications VI. vol. 4731, International Society for Optical Engineering. pp. 302-309 . (doi:10.1117/12.458397).

Record type: Conference or Workshop Item (Paper)

Abstract

An array of thick film pH sensor electrodes has been fused using two separate fuser designs: the feedforward neural network and Nadaraya-Watson kernel estimator. In both cases the fuser is based on empirical data rather than analytical sensor models. Complementary sensor responses have been obtained by fabricating sensors using different metal oxides. This approach provides some immunity to interference caused by the ionic composition of the solution being sensed. The Nadaraya-Watson estimator is shown to provide a useful alternative to the feedforward neural network for multisensor fusion where sensor distributions are unknown. Indicative test results are provided for the measurement of pH in printing ink. The results confirm that the fused results are more accurate than those obtained using the single best sensor, or simple fusion schemes such as averaging or majority voting.

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More information

Published date: 2002
Venue - Dates: Sensor Fusion: Architectures, Algorithms, and Applications VI, 2002-04-03 - 2002-04-05

Identifiers

Local EPrints ID: 22590
URI: http://eprints.soton.ac.uk/id/eprint/22590
ISBN: 0819444812
PURE UUID: 79aadddd-dc98-4449-8e1f-7bc471e2cf07
ORCID for John Atkinson: ORCID iD orcid.org/0000-0003-3411-8034

Catalogue record

Date deposited: 08 Mar 2007
Last modified: 20 Jul 2019 01:29

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Contributors

Author: Sean Wellington
Author: John Atkinson ORCID iD
Author: Russ Sion
Editor: Belur V. Dasarathy

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