書誌事項
- タイトル別名
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- Behavioral visualization of nicotine in tobacco smoke in simulated space
抄録
<p>Smoke separation is accelerating towards the Tokyo Olympics and Paralympics. However, there is no method for monitoring harmful chemical substances in tobacco smoke in real-time, so there are scientific lacks against non-smokers health whether the smoke separated space have no impact or not to their health. The main chemical substance in tobacco smoke is nicotine. We decided to build up a model first for nicotine. In this study, we use a newly developing gas analyzer which measures nicotine in real-time. From that nicotine measurement result, analyzes the nicotine behavior with FEM in a simulated space. Then make it learn the parameters of the nicotine behavior model, and using a different modeling and learning algorithm than general multi-agent reinforcement learning, we visualize the nicotine behavior in tobacco smoke through the new achieving model. First, we confirmed the availability of nicotine analysis with the gas analyzer.</p>
収録刊行物
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- 設計工学・システム部門講演会講演論文集
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設計工学・システム部門講演会講演論文集 2019.29 (0), 2208-, 2019
一般社団法人 日本機械学会
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詳細情報 詳細情報について
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- CRID
- 1390848250106886016
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- NII論文ID
- 130007836152
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- ISSN
- 24243078
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可