{"created":"2025-01-19T01:29:58.541017+00:00","updated":"2025-01-19T11:12:25.526820+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230300","sets":["6504:11436:11441"]},"path":["11441"],"owner":"44499","recid":"230300","title":["Wi-Fiプローブ要求を用いた機械学習によるモバイル端末台数推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"4f5b41ec-2f4e-4f50-ba13-c56442264787"},"_deposit":{"id":"230300","pid":{"type":"depid","value":"230300","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Wi-Fiプローブ要求を用いた機械学習によるモバイル端末台数推定","author_link":["620339","620338","620335","620336","620337"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Wi-Fiプローブ要求を用いた機械学習によるモバイル端末台数推定"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ネットワーク","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2023-02-16","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"岩手県大"},{"subitem_text_value":"岩手県大"},{"subitem_text_value":"岩手県大"},{"subitem_text_value":"岩手県大"},{"subitem_text_value":"岩手県大"}]},"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/230300/files/IPSJ-Z85-4X-04.pdf","label":"IPSJ-Z85-4X-04.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-4X-04.pdf","filesize":[{"value":"388.7 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"8334ec7e-82ed-4110-be46-1aa462d45417","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"長久保, 伊吹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"堀川, 三好"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"鈴木, 健斗"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"藤原, 龍聖"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"岡本, 東"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"最近のモバイル端末には，セキュリティ強化やプライバシー保護の観点からMACアドレスのランダム化が導入されている.これにより，従来のWi-Fiプローブ要求のMACアドレスを用いた人流解析や混雑度解析は，活用が困難となった．そのため，プライバシー保護に配慮しつつ，Wi-Fiプローブ要求の様々な情報から台数推定を行う仕組みが必要となる．本研究は，Wi-Fiプローブ要求に含まれる情報を特徴量として機械学習を用いることで，同一空間にいるモバイル端末の台数推定を行う手法を提案する．提案手法は，主成分分析とクラスター分析を組み合わせることで台数推定を行う．実験結果から，モバイル端末が少数の場合は，提案手法が有効であることを示す．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"62","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"61","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":230300,"links":{}}