{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00225890","sets":["1164:3980:11162:11253"]},"path":["11253"],"owner":"44499","recid":"225890","title":["アンテナ設置角によるRSSIおよび位相値の一意性を用いたRFタグの位置推定手法の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-05-11"},"_buckets":{"deposit":"35878928-244b-42bf-8a58-ab9db2b9ea49"},"_deposit":{"id":"225890","pid":{"type":"depid","value":"225890","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"アンテナ設置角によるRSSIおよび位相値の一意性を用いたRFタグの位置推定手法の提案","author_link":["598701","598702","598700","598703"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"アンテナ設置角によるRSSIおよび位相値の一意性を用いたRFタグの位置推定手法の提案"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"位置推定","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2023-05-11","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"愛知工業大学大学院経営情報科学研究科"},{"subitem_text_value":"愛知工業大学大学院経営情報科学研究科"},{"subitem_text_value":"愛知工業大学情報科学部"},{"subitem_text_value":"AIM Japan"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Business Administration and Computer Science, Aichi Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Business Administration and Computer Science, Aichi Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Information Science, Aichi Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"AIM Japan","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/225890/files/IPSJ-ITS23093018.pdf","label":"IPSJ-ITS23093018.pdf"},"date":[{"dateType":"Available","dateValue":"2025-05-11"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-ITS23093018.pdf","filesize":[{"value":"3.3 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":"37"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"05b739be-6efa-4a5f-8710-763f608989dd","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":"三輪, 悠季奈"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"水野, 虹太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"内藤, 克浩"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"江原, 正規"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11515904","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":"2188-8965","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"産業界において，Radio Frequency Identification (RFID) の利用が拡大している．主に無人レジや在庫管理等に導入されており，RF タグの移動追跡技術や位置推定技術によりサービスが実現されている．既存技術では，Received Signal Strength Indicator (RSSI) を元に機械学習での推定を行う．しかし，RSSI は周囲環境の影響を受けやすいため，RSSI 単体では安定した位置推定が困難である．本論文では，RF タグの RSSI と位相値を用いた位置推定手法を提案する．2 種のパラメータを組み合わせることにより，位置推定の精度向上を図る．また，アンテナ 2 枚を傾けて設置することにより，電波環境の歪みを生成する．アンテナを正面に向けて設置した場合，通信範囲内の電波環境は左右対象となり，RSSI および位相値の場所に対する一意性に欠け，推定精度低下の一因となる．電波環境の歪みの影響を受けた RSSI および位相値がグリッドレベルで一意になることを利用する．実証実験を通して，複数の分類アルゴリズムによるグリッド推定精度を比較する．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告高度交通システムとスマートコミュニティ（ITS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2023-05-11","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"18","bibliographicVolumeNumber":"2023-ITS-93"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:25:23.113623+00:00","updated":"2025-01-19T12:38:56.035457+00:00","id":225890}