{"id":232745,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00232745","sets":["1164:4619:11539:11552"]},"path":["11552"],"owner":"44499","recid":"232745","title":["設計作図事例を用いた住宅の間取りの自動設計"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-02-25"},"_buckets":{"deposit":"4238a5f3-7326-407f-a5df-ac1e3c5a4e94"},"_deposit":{"id":"232745","pid":{"type":"depid","value":"232745","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"設計作図事例を用いた住宅の間取りの自動設計","author_link":["630785","630788","630786","630787"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"設計作図事例を用いた住宅の間取りの自動設計"}]},"item_type_id":"4","publish_date":"2024-02-25","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"山口大学大学院創成科学研究科"},{"subitem_text_value":"山口大学大学院創成科学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Science and Technology for Inovation, Yamaguchi University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Science and Technology for Inovation, Yamaguchi University","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/232745/files/IPSJ-CVIM24237054.pdf","label":"IPSJ-CVIM24237054.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM24237054.pdf","filesize":[{"value":"1.4 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"ad1c5521-0880-43cd-b562-d040e4680b07","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 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":"守田, 了"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"坂本, 沙耶佳"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Satoru, Morita","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Sayaka, Sakamoto","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11131797","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":"2188-8701","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"住宅における間取りの設計は専門的かつ個人的な仕事である．クライアントの要望に加え，法律，構造，設備,断熱材料，構法，デザイン，コスト，工期などの要素を勘案して間取りを決定する．本論文では，設計作図事例を用いた住宅の間取りを自動設計する手法を提案する．粒子フィ ルタは一般状態空間モデルにおける状態ベクト ルの推定方法であり，条件付き分布をたくさんのサンプル点で近似表現する手法である．初めに設計作図事例から各々の部屋や建物の外形の依存グラフを作成し，間取りを決定する順番を決める．次に二級建築士設計製図試験の問題の解答例をもとに，敷値と隣接する道路の情報から建物とその間取り の設計を粒子フィ ルタを用いて逐次的に学習する．実際に二級建築士設計製図試験の問題の解答例を用いて，敷地における建物の位置と建物内部のトイレ，玄関，寝室，リビングダイニング，階段，廊下の位置を自動で設計し有効性を示す．さらに対話インターフェースを用いてクライアント の要望や，法律，構造，設備，断熱材料，構法，デザイン，コスト，工期などの要素を確率マップに反映することで，間取り にこれらの要素を反映することができる．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"The floor plan of a house is private and expert work. We define the floor plan based on low, stracture, insulation, cost and period according to client query. We propose the method of autonomous floor plan of a house according to architectural drawings examples. Particle filter is the method estimating state vector of general state space model and approximating conditional probability distribution for many sample points. At first, we generate dependent graph of each room for flooar plan using answer example of second grade construction design writing example. Next, we define the position of building and rooms based on the proposed learning meghod of particle filter. The effectiveness of the proposed learning method is shown by defining the position of toilet, entrance, bed room, living dining, stairs and hall based on the answer examples of drafting examination of second grade contruction licence . The floor plan of the first step estimated by the proposed method is modified using the statitic map reflecting client query, low, contruction, insulation, cot and period using interactive interface.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告コンピュータビジョンとイメージメディア（CVIM）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-02-25","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"54","bibliographicVolumeNumber":"2024-CVIM-237"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T10:20:08.384944+00:00","created":"2025-01-19T01:33:47.198371+00:00","links":{}}