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Arrangement Analysis of Leaves Optimized on Photon Flux Density or Photosynthetic Rate
https://kitami-it.repo.nii.ac.jp/records/7468
https://kitami-it.repo.nii.ac.jp/records/7468b8df20e0-81e9-4522-8a31-f55c2fcb44ff
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
03_07obara.pdf (812.7 kB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2010-04-08 | |||||
| タイトル | ||||||
| タイトル | Arrangement Analysis of Leaves Optimized on Photon Flux Density or Photosynthetic Rate | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Leaf Arrangement | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Simulation | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Photosynthesis | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Genetic Algorithm | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Monte Carlo Simulation | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Dogwood | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Ginkgo Biloba | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| アクセス権 | ||||||
| アクセス権 | open access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
| 著者 |
OBARA, Shinya
× OBARA, Shinya× TANNO, Itaru |
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| 著者別名 | ||||||
| 識別子Scheme | WEKO | |||||
| 識別子 | 44843 | |||||
| 識別子Scheme | KAKEN | |||||
| 識別子URI | https://nrid.nii.ac.jp/ja/nrid/1000010342437 | |||||
| 識別子 | 10342437 | |||||
| 姓名 | 小原, 伸哉 | |||||
| 言語 | ja | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | By clarifying a plant evolutive process, useful information may be obtained on engineering. Consequently, an analysis algorithm that investigates the optimal arrangement of plant leaves was developed. In the developed algorithm, the Monte Carlo method is introduced and sunlight is simulated. Moreover, the arrangement optimization of leaves is analyzed using a Genetic Algorithm (GA). The number of light quanta (photon flux density) that reaches leaves, or the average photosynthetic rate of the same was set as the objective function, and leaf models of a dogwood and a ginkgo tree were analyzed. The number of leaf models was set between two to four, and the position of the leaf was expressed in terms of the angle of direction, elevation angle, rotation angle, and the representative length of the branch of a leaf. The chromosome model introduced into GA consists of information concerning the position of the leaf. Based on the analysis results, the characteristics of the leaf of an actual plant could be simulated by ensuring the algorithm had multiple constrained conditions. The optimal arrangement of leaves differs in maximization of the photon flux density, and that of the average value of a photosynthetic rate. Furthermore, the leaf form affecting the optimal arrangement of leave and also having a significant influence also on a photosynthetic rate was shown. | |||||
| 書誌情報 |
Journal of Computational Science and Technology 巻 2, 号 1, p. 118-129, 発行日 2008 |
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| DOI | ||||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | http://doi.org/10.1299/jcst.2.118 | |||||
| フォーマット | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | application/pdf | |||||
| 出版者 | ||||||
| 出版者 | 日本機械学会 | |||||
| 著者版フラグ | ||||||
| 値 | publisher | |||||
| 出版タイプ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
