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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Kalman Filter / Sensor Network / Propagation Coefficient Estimation / Prediction of Gas Concentration |
Paper # | ASN2013-82 |
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Committee | ASN |
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Conference Date | 2013/7/10(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Ambient intelligence and Sensor Networks(ASN) |
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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 |
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