Presentation | 2004/1/14 Designing Sensor Networks by a Generalized Highly Optimized Tolerance Model Takaya MIYANO, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | A generalized highly optimized tolerance model with nonlinearly weighted risk function to search the optimal structure of a system is applied to a toy problem of determining the arrangement of hypothetical biosensors in a hypothetical airport terminal where a source of pathogenic virus or bacteria would be planted. The proposed model is shown to be able to generate a particular structure to truncate disastrously large events. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | HOT / COLD / complex systems / optimization / systems design / risk aversion |
Paper # | NLP2003-147 |
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Conference Information | |
Committee | NLP |
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Conference Date | 2004/1/14(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Designing Sensor Networks by a Generalized Highly Optimized Tolerance Model |
Sub Title (in English) | |
Keyword(1) | HOT |
Keyword(2) | COLD |
Keyword(3) | complex systems |
Keyword(4) | optimization |
Keyword(5) | systems design |
Keyword(6) | risk aversion |
1st Author's Name | Takaya MIYANO |
1st Author's Affiliation | Center for Promotion of the COE Program, Ritsumeikan University() |
Date | 2004/1/14 |
Paper # | NLP2003-147 |
Volume (vol) | vol.103 |
Number (no) | 566 |
Page | pp.pp.- |
#Pages | 5 |
Date of Issue |