{"updated":"2025-01-19T20:23:48.854984+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00203914","sets":["1164:2836:10118:10119"]},"path":["10119"],"owner":"44499","recid":"203914","title":["IR-UWBを用いた自己組織化ノード位置推定方式における改良アルゴリズムとその精度改善効果"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-03-05"},"_buckets":{"deposit":"1d32d542-7e2f-4777-b19c-2a7bc6a0e637"},"_deposit":{"id":"203914","pid":{"type":"depid","value":"203914","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"IR-UWBを用いた自己組織化ノード位置推定方式における改良アルゴリズムとその精度改善効果","author_link":["504030","504027","504029","504028"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"IR-UWBを用いた自己組織化ノード位置推定方式における改良アルゴリズムとその精度改善効果"}]},"item_type_id":"4","publish_date":"2020-03-05","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"関西大学理工学研究科"},{"subitem_text_value":"関西大学先端科学技術推進機構"},{"subitem_text_value":"関西大学理工学研究科"},{"subitem_text_value":"関西大学環境都市工学部"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Engineering, Kansai University","subitem_text_language":"en"},{"subitem_text_value":"Organization for Research and Development of Innovative Science and Technology, Kansai University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Engineering, Kansai University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Environmental and Urban Engineering, Kansai 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/203914/files/IPSJ-DPS20182032.pdf","label":"IPSJ-DPS20182032.pdf"},"date":[{"dateType":"Available","dateValue":"2022-03-05"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DPS20182032.pdf","filesize":[{"value":"11.9 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":"34"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"ad75e2f1-06fc-4a3b-ad4d-897cdb7f372e","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2020 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"森, 流星"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"北之馬, 貴正"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"川田, 千尋"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"滝沢, 泰久"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10116224","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":"2188-8906","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"我々は屋内空間内に遍在する多数のスマートデバイスの位置を定点3点のみで高精度に推定する集約型自己組織化ノード位置推定方式 (SOL: Self-Organaizing Localization) を提案している.集約型 SOL では各ノード間の相対距離を用いてノード位置を推定する.ノード間相対距離に IR-UWB を用いた場合の位置推定精度は約 30~40cm 程度である.集約型 SOL は相対座標系で位置推定を行い,定点 3 点を用いて絶対座標系に変換する.そのため定点 3 点の位置推定精度に応じて精度が劣化する問題が存在する.本論文ではこの問題を解決するため,IR-UWB の測距特性に適応した集約型 SOL の改良アルゴリズムを提案し,その精度改善効果を実機実験により示す.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告マルチメディア通信と分散処理(DPS)"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2020-03-05","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"32","bibliographicVolumeNumber":"2020-DPS-182"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:06:14.745330+00:00","id":203914,"links":{}}