{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230299","sets":["6504:11436:11441"]},"path":["11441"],"owner":"44499","recid":"230299","title":["IoTセンサーネットワークと実空間における位置情報を用いた在室状況推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"c76862f7-8ec9-4c7a-a136-9fd067c439b0"},"_deposit":{"id":"230299","pid":{"type":"depid","value":"230299","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"IoTセンサーネットワークと実空間における位置情報を用いた在室状況推定","author_link":["620334","620333"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"IoTセンサーネットワークと実空間における位置情報を用いた在室状況推定"}]},"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":"東大"},{"subitem_text_value":"東大"}]},"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/230299/files/IPSJ-Z85-4X-03.pdf","label":"IPSJ-Z85-4X-03.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-4X-03.pdf","filesize":[{"value":"307.9 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"08f0d2d2-015e-4bf3-9d28-17e3f00deec0","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":"中村, 有佑"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"佐藤, 周行"}],"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":"建物におけるエネルギー消費量を削減する場合，室内における在室状況を適切に把握し，空調設備や電球の制御を行うことが有効である．また，IoTセンサーを使って大量のデータが収集できるようになっている．本研究では，IoTセンサーを用いてCO2濃度，温度，湿度，気圧の環境情報を収集する．そして，計算量の削減，推定精度の向上を目的として，収集したデータに対して実空間における位置情報を組み合わせた前処理を施し，データセットを作成し，機械学習モデルを適用することで，高速かつ高精度な在室状況推定を実現する．具体的には，従来手法において90％前後であった検出精度を100％に限りなく近づける．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"60","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"59","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":230299,"updated":"2025-01-19T11:12:26.885327+00:00","links":{},"created":"2025-01-19T01:29:58.442132+00:00"}