{"updated":"2025-01-21T21:38:52.650206+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00074185","sets":["581:6276:6421"]},"path":["6421"],"owner":"11","recid":"74185","title":["存在確率分布の伝播を用いた自己位置推定手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2011-05-15"},"_buckets":{"deposit":"f0867a52-a47e-42cd-a561-733b97273c45"},"_deposit":{"id":"74185","pid":{"type":"depid","value":"74185","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"存在確率分布の伝播を用いた自己位置推定手法","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"存在確率分布の伝播を用いた自己位置推定手法"},{"subitem_title":"A Self-localization Method Using Propagation of Existence Probability Distribution","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"一般論文","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"2011-05-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"大阪大学大学院工学研究科"},{"subitem_text_value":"大阪大学大学院情報科学研究科／現在，株式会社NTTデータ"},{"subitem_text_value":"大阪大学大学院情報科学研究科／独立行政法人情報通信研究機構"},{"subitem_text_value":"京都産業大学コンピュータ理工学部"},{"subitem_text_value":"独立行政法人情報通信研究機構"},{"subitem_text_value":"大阪大学大学院情報科学研究科"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Engineering, Osaka University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Science and Technology, Osaka University / Presently with NTT Data Corporation","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Science and Technology, Osaka University / National Institute of Information and Communications Technology","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Computer Science and Engineering, Kyoto Sangyo University","subitem_text_language":"en"},{"subitem_text_value":"National Institute of Information and Communications Technology","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Science and Technology, Osaka University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/74185/files/IPSJ-JNL5205002.pdf"},"date":[{"dateType":"Available","dateValue":"2013-05-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL5205002.pdf","filesize":[{"value":"1.4 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":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"ca6b0be9-27a1-4b2c-a56b-32a9918d929a","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2011 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"春本, 要"},{"creatorName":"藤原, 謙太郎"},{"creatorName":"寺西, 裕一"},{"creatorName":"秋山, 豊和"},{"creatorName":"竹内, 亨"},{"creatorName":"西尾, 章治郎"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kaname, Harumoto","creatorNameLang":"en"},{"creatorName":"Kentaro, Fujiwara","creatorNameLang":"en"},{"creatorName":"Yuichi, Teranishi","creatorNameLang":"en"},{"creatorName":"Toyokazu, Akiyama","creatorNameLang":"en"},{"creatorName":"Susumu, Takeuchi","creatorNameLang":"en"},{"creatorName":"Shojiro, Nishio","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_2_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116647","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_2_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7764","subitem_source_identifier_type":"ISSN"}]},"item_2_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"利用者の位置を利用する情報サービスでは，利用者の位置座標を把握したい場合（座標推定）や，利用者がある特定の領域にいるかどうかを判定したい場合（領域判定）がある．しかし，無線基地局の位置情報などを利用した位置推定法において，座標推定および領域判定の双方を精度良く実現する方法は存在しない．特に，基地局の密度が疎な環境における推定精度の向上が課題となる．そこで本論文では，受信したアンカノードの座標と受信信号強度を隣接するモバイルノードに伝播させることにより，隣接モバイルノードの存在確率分布も考慮した自ノードの存在確率分布を求めることによる位置推定手法を提案する．シミュレーション実験により，提案手法は従来手法と比較しアンカノード数が少ない場合で約3倍から5倍，アンカノード数が多い場合でも約3倍の座標推定精度が得られることを示す．また，領域判定においては従来手法より優れた性能が得られることを示す．","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In location-aware information services, the coordinates of users should be estimated, but we often need to judge whether a user is in a specified area or not (area-judgment). However, existing methods which utilizes locations of wireless access points cannot deal with coordinate-estimation and area-judgment simultaneously with high accuracy. In particular, improvement of the estimation accuracy in sparse access point environment is required. In this paper, we propose a self-localization method using propagation of geographical existence probability distribution based on RSSI (Received Signal Strength Indication). In the proposed method, each mobile node propagates information on neighboring anchor nodes to its neighboring mobile nodes, and estimates its existence probability distribution by using not only information on neighboring anchor nodes but also information propagated from the neighboring mobile nodes. By simulation experiments, we show that the proposed method can improve average location error by 3 to 5 times in sparse access point environment and by 3 times even in dense access point environment. Further, we show that it can improve area-judgment performance compared to the existing methods.","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"1870","bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicPageStart":"1862","bibliographicIssueDates":{"bibliographicIssueDate":"2011-05-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"5","bibliographicVolumeNumber":"52"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-18T23:31:51.110604+00:00","id":74185,"links":{}}