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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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Sensors and Materials
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 21, Number 4 (2009)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 209-217
S&M761 Research Paper of Special Issue https://doi.org/10.18494/SAM.2009.608 Published: July 21, 2009 EStudy on Feature Extraction of Semiconductor Gas Sensor Based on Prony's Method [PDF] Yoshinori Takei, Shin Koyama, Hidehito Nanto and Takashi Mihara (Received February 7, 2009; Accepted April 10, 2009) Keywords: semiconductor gas sensor, feature extraction, Prony's method
In this study, feature extraction from a transient response of a semiconductor gas sensor is investigated. For the sensor response given as the step response of the first-order lag system, the sensor output can be approximated as a sum of exponentials by Prony’s method. The model parameters can be estimated as the time constant and the gain, which are inherent parameters for each gas. The parameters can be used as features for the discrimination of gases. Using the extracted features, the discrimination of gases will be achieved even if only a single sensor is used. The parameter estimation procedure is basically an offline algorithm. We will then show an online estimation procedure for feature extraction with a low computational burden.
Corresponding author: Yoshinori Takei Cite this article Yoshinori Takei, Shin Koyama, Hidehito Nanto and Takashi Mihara, EStudy on Feature Extraction of Semiconductor Gas Sensor Based on Prony's Method, Sens. Mater., Vol. 21, No. 4, 2009, p. 209-217. |
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