{"created":"2023-06-20T14:36:11.330465+00:00","id":2501,"links":{},"metadata":{"_buckets":{"deposit":"22489d8d-b809-48a7-9fc2-4da432b49a88"},"_deposit":{"created_by":1,"id":"2501","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"2501"},"status":"published"},"_oai":{"id":"oai:jaxa.repo.nii.ac.jp:00002501","sets":["1887:1893","9:1090:1150:1154"]},"author_link":["6784","6783"],"item_3_alternative_title_2":{"attribute_name":"その他のタイトル（英）","attribute_value_mlt":[{"subitem_alternative_title":"Development of the High Sampling Rate Flow Field Offline Estimation C++ Code that Applies Proper Orthogonal Decomposition and Stochastic Estimation using High Sampling Rate Velocity Probe Data and Low Sampling Rate PIV Data"}]},"item_3_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2014-03-31","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"43","bibliographicPageStart":"1","bibliographicVolumeNumber":"JAXA-RM-13-018","bibliographic_titles":[{"bibliographic_title":"宇宙航空研究開発機構研究開発資料"},{"bibliographic_title":"JAXA Research and Development Memorandum","bibliographic_titleLang":"en"}]}]},"item_3_description_16":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"スリーステップ法と呼ばれる，制御理論を応用した流れ場のオフライン推定法がある．オペレーティングシステムやアプリケーションに依存せずに，スリーステップ法による流れ場のオフライン推定が可能となるように，スリーステップ法のC++コードを開発したので，これを公開する．スリーステップ法は，固有直交分解と統計的推定法を応用して，高サンプリングレート流速プローブと低サンプリングレートPIV計測データから，高サンプリングレート流れ場の離散線形状態方程式を同定し，このシステムに固定区間カルマンスムーザを適用して高サンプリングレート流れ場をオフライン推定する方法である．このコードは，フロリダ州立大学が所有するデータを用いて検証され，MATLABで作成されたコードと同じ推定結果が得られることを確認した．","subitem_description_type":"Abstract"}]},"item_3_description_17":{"attribute_name":"抄録（英）","attribute_value_mlt":[{"subitem_description":"Three step method is the offline estimation method of the flow field using control theory. C++ code of the three step method which doesn't depend on any operating systems and applications was developed so I open this code to public. Three-step method is offline estimation method for time-resolved velocity fields using time-resolved point measurements and non-time-resolved particle image velocimetry data. This code was validated with the data in Florida State University and I confirmed the result agreed with the result from MATLAB code.","subitem_description_type":"Other"}]},"item_3_description_18":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"形態: 図版あり","subitem_description_type":"Other"}]},"item_3_description_19":{"attribute_name":"内容記述（英）","attribute_value_mlt":[{"subitem_description":"Physical characteristics: Original contains illustrations","subitem_description_type":"Other"}]},"item_3_description_32":{"attribute_name":"資料番号","attribute_value_mlt":[{"subitem_description":"資料番号: AA1430001000","subitem_description_type":"Other"}]},"item_3_description_33":{"attribute_name":"レポート番号","attribute_value_mlt":[{"subitem_description":"レポート番号: JAXA-RM-13-018","subitem_description_type":"Other"}]},"item_3_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"宇宙航空研究開発機構(JAXA)"}]},"item_3_publisher_9":{"attribute_name":"出版者（英）","attribute_value_mlt":[{"subitem_publisher":"Japan Aerospace Exploration Agency (JAXA)"}]},"item_3_source_id_21":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1349-1121","subitem_source_identifier_type":"ISSN"}]},"item_3_source_id_24":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11983593","subitem_source_identifier_type":"NCID"}]},"item_3_text_6":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"宇宙航空研究開発機構航空本部(JAXA)"}]},"item_3_text_7":{"attribute_name":"著者所属（英）","attribute_value_mlt":[{"subitem_text_language":"en","subitem_text_value":"Institute of Aeronautical Technology, Japan Aerospace Exploration Agency (JAXA)"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"青木, 良尚"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Aoki, Yoshihisa","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2020-01-15"}],"displaytype":"detail","filename":"AA1430001000.pdf","filesize":[{"value":"656.5 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"AA1430001000.pdf","url":"https://jaxa.repo.nii.ac.jp/record/2501/files/AA1430001000.pdf"},"version_id":"04cc4c49-0df2-4f7b-963d-0c1268f8fc1b"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Proper Orthogonal Decomposition","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"System Identification","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Fluid Dynamics","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Kalman Smoother","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"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":"technical report","resourceuri":"http://purl.org/coar/resource_type/c_18gh"}]},"item_title":"固有直交分解と統計的推定法を応用した高サンプリングレート流速プローブと低サンプリングレートPIV計測データを用いた高サンプリングレート流れ場オフライン推定C++コードの開発","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"固有直交分解と統計的推定法を応用した高サンプリングレート流速プローブと低サンプリングレートPIV計測データを用いた高サンプリングレート流れ場オフライン推定C++コードの開発"}]},"item_type_id":"3","owner":"1","path":["1154","1893"],"pubdate":{"attribute_name":"公開日","attribute_value":"2015-03-26"},"publish_date":"2015-03-26","publish_status":"0","recid":"2501","relation_version_is_last":true,"title":["固有直交分解と統計的推定法を応用した高サンプリングレート流速プローブと低サンプリングレートPIV計測データを用いた高サンプリングレート流れ場オフライン推定C++コードの開発"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-06-21T09:21:17.283330+00:00"}