| Presentation | 2002/11/8 The Keyword Analysis for Predicting Damage of The Large Scale Accident and The Local Fire Accident Mariko SANDA, Akihiko MASUDA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In our former study, we tried to predict the final consequence of damages on the large-scale accident such as an earthquake disaster and an organizational technological accident from the news clips of newspapers during early several days. We focused to the Hanshin-Awaji big earthquake disaster and the critical accident of the uranium processing facilities in JCO of Tokai-mura. In this paper, we studied to compare three prediction methods using keywords, numbers of words and news area how to explain the objective parameters of damages. This paper proposes that the news area method and the keyword method are suitable to explain the damages for the earthquake disaster. Furthermore, the keyword analysis for the local fire accidents given big damages was performed. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | The Large Scale Accident / Initial information / Key word / Prediction |
| Paper # | R2002-48 |
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| Committee | R |
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| Conference Date | 2002/11/8(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Reliability(R) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | The Keyword Analysis for Predicting Damage of The Large Scale Accident and The Local Fire Accident |
| Sub Title (in English) | |
| Keyword(1) | The Large Scale Accident |
| Keyword(2) | Initial information |
| Keyword(3) | Key word |
| Keyword(4) | Prediction |
| 1st Author's Name | Mariko SANDA |
| 1st Author's Affiliation | Graduate School Teikyo University of Science and Technology() |
| 2nd Author's Name | Akihiko MASUDA |
| 2nd Author's Affiliation | Graduate School Teikyo University of Science and Technology |
| Date | 2002/11/8 |
| Paper # | R2002-48 |
| Volume (vol) | vol.102 |
| Number (no) | 454 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |