Presentation 2013-07-19
Propagation Coefficient Estimation for Gas Concentration Prediction Problem via Kalman Filter
Shinichiro TOKUMOTO, Toru NAMERIKAWA,
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Abstract(in English) This paper deals with propagation coefficient estimation for gas concentration prediction problem. The purpose of this paper is to estimate how danger area in a building by carbon monoxide and poisnous gas occured in case of fire disaster is spread in this paper. Such estimation will enable it to perform safer evacuation guidance. In this paper, we estimate propagation coefficients showing correlation with neighborhood area and amount of emergence. We use the parameter estimation by Kalman filter mostly used by sensor network system. Furthermore, short-term future prediction of gas concentration is performed using the estimated result. Finally, we perform experiment by the equipment which imitated building and show validity of the proposal technique in this paper.
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Keyword(in English) Kalman Filter / Sensor Network / Propagation Coefficient Estimation / Prediction of Gas Concentration
Paper # ASN2013-82
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Conference Date 2013/7/10(1days)
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Registration To Ambient intelligence and Sensor Networks(ASN)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Propagation Coefficient Estimation for Gas Concentration Prediction Problem via Kalman Filter
Sub Title (in English)
Keyword(1) Kalman Filter
Keyword(2) Sensor Network
Keyword(3) Propagation Coefficient Estimation
Keyword(4) Prediction of Gas Concentration
1st Author's Name Shinichiro TOKUMOTO
1st Author's Affiliation System Design Engineering, Keio University()
2nd Author's Name Toru NAMERIKAWA
2nd Author's Affiliation System Design Engineering, Keio University
Date 2013-07-19
Paper # ASN2013-82
Volume (vol) vol.113
Number (no) 132
Page pp.pp.-
#Pages 6
Date of Issue