{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00226186","sets":["1164:6390:11093:11263"]},"path":["11263"],"owner":"44499","recid":"226186","title":["観測時系列データとソーシャルセンシングデータを用いた状態空間モデルによる浸水位推定手法の提案と性能評価"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-05-25"},"_buckets":{"deposit":"fcfbabdc-6ab7-4d7d-a6a4-d301d42d896f"},"_deposit":{"id":"226186","pid":{"type":"depid","value":"226186","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"観測時系列データとソーシャルセンシングデータを用いた状態空間モデルによる浸水位推定手法の提案と性能評価","author_link":["600047","600049","600048","600045","600046"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"観測時系列データとソーシャルセンシングデータを用いた状態空間モデルによる浸水位推定手法の提案と性能評価"},{"subitem_title":"A Flood Level Estimation Method by State-space Model with Observed Time Series and Social Sensing data","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"認識・推定・予測","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2023-05-25","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"京都大学防災研究所"},{"subitem_text_value":"統計数理研究所"},{"subitem_text_value":"北陸先端科学技術大学院大学"},{"subitem_text_value":"公立諏訪東京理科大学"},{"subitem_text_value":"北陸先端科学技術大学院大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Engineering, Nagoya University","subitem_text_language":"en"},{"subitem_text_value":"The Institute of Statistical Mathematics","subitem_text_language":"en"},{"subitem_text_value":"Japan Advanced Institute of Science and Technology","subitem_text_language":"en"},{"subitem_text_value":"Suwa University of Science","subitem_text_language":"en"},{"subitem_text_value":"Japan Advanced Institute of Science and Technology","subitem_text_language":"en"}]},"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/226186/files/IPSJ-CDS23037002.pdf","label":"IPSJ-CDS23037002.pdf"},"date":[{"dateType":"Available","dateValue":"2025-05-25"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CDS23037002.pdf","filesize":[{"value":"1.3 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"47"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"65974b5b-7715-46e2-b900-24b52fe8d974","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"廣井, 慧"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"村上, 大輔"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小比賀, 亮仁"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"深谷, 将"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"篠田, 陽一"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12628327","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":"2188-8604","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本論文は，内水氾濫における浸水位の時系列変化推定の高精度化を目的に，状態空間モデルを用いた浸水位の推定手法を提案する．本手法は，水位モニタリングデータと物理モデルから導出した氾濫解析シミュレーションを統合し，水位観測の行われていない地点において内水氾濫の浸水変化時系列を推定する手法である．浸水位のモニタリングデータとして，観測デバイスによる観測時系列データと，ソーシャルセンシングデータを利用し，状態空間モデルで氾濫解析シミュレーションを補正することで，従来手法の精度を補い，市街地全体の浸水位を高精度に推定する手法とする．実際の内水氾濫をもとに，本手法の性能評価を行ったところ，従来手法である，氾濫解析シミュレーションのみでは，最大 0.60 メートルの浸水が発生した地点の浸水位変化を推定できていなかったが，提案手法の状態空間モデルでは，平均 0.07 - 0.28 メートルの誤差での推定が行え，本論文の目的である推定精度の向上が確認できた．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"10","bibliographic_titles":[{"bibliographic_title":"研究報告コンシューマ・デバイス＆システム（CDS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2023-05-25","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"2023-CDS-37"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":226186,"updated":"2025-01-19T12:33:24.714183+00:00","links":{},"created":"2025-01-19T01:25:39.902062+00:00"}