{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00218670","sets":["1164:5352:10882:10963"]},"path":["10963"],"owner":"44499","recid":"218670","title":["大規模人流データにおけるデータ同化の高速化の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-06-20"},"_buckets":{"deposit":"07060e39-66cb-47a8-9a88-02d52677252d"},"_deposit":{"id":"218670","pid":{"type":"depid","value":"218670","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"大規模人流データにおけるデータ同化の高速化の検討","author_link":["569215","569216","569214","569213"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"大規模人流データにおけるデータ同化の高速化の検討"}]},"item_type_id":"4","publish_date":"2022-06-20","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"熊本大学大学院自然科学教育部"},{"subitem_text_value":"熊本大学大学院先端科学研究部"},{"subitem_text_value":"熊本大学大学院先端科学研究部"},{"subitem_text_value":"熊本大学大学院自然科学教育部"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/218670/files/IPSJ-BIO22070040.pdf","label":"IPSJ-BIO22070040.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-BIO22070040.pdf","filesize":[{"value":"2.0 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"41"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"cf205ab8-118f-4583-9739-13174e3adc2b","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"宮﨑, 和也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"尼崎, 太樹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"木山, 真人"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"岡本, 利章"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12055912","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8590","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"イベントなどにおける事故を受けて，人流把握の重要性がさけばれるなか，データ同化に注目が集まっている．データ同化ではシミュレーションによる結果と観測データを比較し，シミュレーション内のパラメータを調整する．ここで，人流シミュレーションはエージェントが多くなるとシミュレーションに時間がかかってしまうという問題を抱えている．そこで本研究では，シミュレーション時間の短縮のため，C 言語での実装と行列計算ライブラリ Numpy の利用による高速化とモデルの改良を行った．本論文では，門司港花火大会の人流データセットを用い，データ同化の際の高速化を行う．評価において，先行研究のシミュレータと実行時間，同化の精度を比較した．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告バイオ情報学（BIO）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2022-06-20","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"40","bibliographicVolumeNumber":"2022-BIO-70"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":218670,"updated":"2025-01-19T15:05:14.028839+00:00","links":{},"created":"2025-01-19T01:19:01.466224+00:00"}