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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
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MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 28, Number 3 (2016)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 237-242
S&M1174 Research Paper of Special Issue https://doi.org/10.18494/SAM.2016.1290 Published: March 30, 2016 Analysis of Gas Sensor Response Using Subspace-Based Prony's Method [PDF] Yoshinori Takei, Yasoshima Hiroyuki, Kazuki Hirasawa, Hidehito Nanto, and Kiyoshi Wada (Received December 7, 2015; Accepted February 26, 2016) Keywords: semiconductor-type gas sensor, subspace identification method, Prony's method, feature extraction
This paper shows the feature extraction for gas discrimination from the transient response of a gas sensor using a subspace-based system identification technique. We have proposed an approximation and analysis method for the transient response using a subspace-based identification method. This is based on Prony's method and can extract time constants and gain parameters of multicomponents of a sensor output response. The estimated parameters can be used to improve gas discrimination in multivariate analysis as elements of pattern vectors. Transient responses of semiconductor-type gas sensors were evaluated using the proposed method. We show that the method can extract features connected with characteristics of measured gases from these sensor responses.
Corresponding author: Yoshinori Takei Cite this article Yoshinori Takei, Yasoshima Hiroyuki, Kazuki Hirasawa, Hidehito Nanto, and Kiyoshi Wada, Analysis of Gas Sensor Response Using Subspace-Based Prony's Method, Sens. Mater., Vol. 28, No. 3, 2016, p. 237-242. |
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