{"created":"2023-06-20T15:18:47.192638+00:00","id":49141,"links":{},"metadata":{"_buckets":{"deposit":"afe625a6-37b6-40f1-8303-4929c9cebd36"},"_deposit":{"created_by":1,"id":"49141","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"49141"},"status":"published"},"_oai":{"id":"oai:jaxa.repo.nii.ac.jp:00049141","sets":["1398:1530:2254","1543:1874:2255","1887:1891","9:789:2223:2253"]},"author_link":["554173","554176","554172","554177","554175","554174"],"item_5_alternative_title_2":{"attribute_name":"その他のタイトル（英）","attribute_value_mlt":[{"subitem_alternative_title":"Investigation of Deep Learning Model for Surface Pressure Estimation by Visualization of Separated Flow around an Airfoil"}]},"item_5_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-17","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"165","bibliographicPageStart":"155","bibliographicVolumeNumber":"JAXA-SP-22-007","bibliographic_titles":[{"bibliographic_title":"宇宙航空研究開発機構特別資料: 第54回流体力学講演会/第40回航空宇宙数値シミュレーション技術シンポジウム論文集"},{"bibliographic_title":"JAXA Special Publication: Proceedings of the 54th Fluid Dynamics Conference / the 40th Aerospace Numerical Simulation Symposium","bibliographic_titleLang":"en"}]}]},"item_5_description_14":{"attribute_name":"会議概要（会議名, 開催地, 会期, 主催者等）","attribute_value_mlt":[{"subitem_description":"第54回流体力学講演会/第40回航空宇宙数値シミュレーション技術シンポジウム (2022年6月29日-7月1日. いわて県民情報交流センター(アイーナ)), 盛岡市, 岩手","subitem_description_type":"Other"}]},"item_5_description_15":{"attribute_name":"会議概要（会議名, 開催地, 会期, 主催者等）（英）","attribute_value_mlt":[{"subitem_description":"The 54th Fluid Dynamics Conference / the 40th Aerospace Numerical Simulation Symposium (June 29 - July 1, 2022. Iwate Citizen Information Exchange Center (Aiina)), Morioka, Iwate, Japan","subitem_description_type":"Other"}]},"item_5_description_17":{"attribute_name":"抄録（英）","attribute_value_mlt":[{"subitem_description":"To clarify the separated flow field formed over the airfoil, a Convolutional Neural Network (CNN) model is proposed to obtain surface pressure distributions from visualized images of flow around airfoils. In this paper, we examine the effectiveness of the CNN model by using several datasets with different angles of attack as training data in order to construct a more general-purpose CNN model which can estimate the surface pressure from the visualized images not only at a specific angle of attack but also in a wide range of angles of attack near the stall angle of attack.","subitem_description_type":"Other"}]},"item_5_description_18":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"形態: カラー図版あり","subitem_description_type":"Other"}]},"item_5_description_19":{"attribute_name":"内容記述（英）","attribute_value_mlt":[{"subitem_description":"Physical characteristics: Original contains color illustrations","subitem_description_type":"Other"}]},"item_5_description_32":{"attribute_name":"資料番号","attribute_value_mlt":[{"subitem_description":"資料番号: AA2230023010","subitem_description_type":"Other"}]},"item_5_description_33":{"attribute_name":"レポート番号","attribute_value_mlt":[{"subitem_description":"レポート番号: JAXA-SP-22-007","subitem_description_type":"Other"}]},"item_5_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"宇宙航空研究開発機構(JAXA)"}]},"item_5_publisher_9":{"attribute_name":"出版者（英）","attribute_value_mlt":[{"subitem_publisher":"Japan Aerospace Exploration Agency (JAXA)"}]},"item_5_source_id_22":{"attribute_name":"ISSNONLINE","attribute_value_mlt":[{"subitem_source_identifier":"2433-2232","subitem_source_identifier_type":"ISSN"}]},"item_5_text_6":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京大学"},{"subitem_text_value":"東京大学"},{"subitem_text_value":"東京大学"}]},"item_5_text_7":{"attribute_name":"著者所属（英）","attribute_value_mlt":[{"subitem_text_language":"en","subitem_text_value":"The University of Tokyo"},{"subitem_text_language":"en","subitem_text_value":"The University of Tokyo"},{"subitem_text_language":"en","subitem_text_value":"The University of Tokyo"}]},"item_5_version_type_30":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"山本, 悠人"}],"nameIdentifiers":[{"nameIdentifier":"554172","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"川上, 理史"}],"nameIdentifiers":[{"nameIdentifier":"554173","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"李家, 賢一"}],"nameIdentifiers":[{"nameIdentifier":"554174","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"YAMAMOTO, Yuto","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"554175","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"KAWAKAMI, Masashi","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"554176","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"RINOIE, Kenichi","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"554177","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2023-02-17"}],"displaytype":"detail","filename":"AA2230023010.pdf","filesize":[{"value":"3.8 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"AA2230023010.pdf","url":"https://jaxa.repo.nii.ac.jp/record/49141/files/AA2230023010.pdf"},"version_id":"43dd0378-6f23-4661-8f48-54cb4acbeb07"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"conference paper","resourceuri":"http://purl.org/coar/resource_type/c_5794"}]},"item_title":"翼型まわりの剥離流れ画像から表面圧力推定を行う深層学習モデルの検討","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"翼型まわりの剥離流れ画像から表面圧力推定を行う深層学習モデルの検討"}]},"item_type_id":"5","owner":"1","path":["1891","2253","2254","2255"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-17"},"publish_date":"2023-02-17","publish_status":"0","recid":"49141","relation_version_is_last":true,"title":["翼型まわりの剥離流れ画像から表面圧力推定を行う深層学習モデルの検討"],"weko_creator_id":"1","weko_shared_id":1},"updated":"2023-06-20T18:36:53.799279+00:00"}