{"updated":"2025-01-19T09:37:39.862868+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00234954","sets":["581:11492:11499"]},"path":["11499"],"owner":"44499","recid":"234954","title":["塵芥車の積込動作音に基づく動的ゴミ回収判定手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-06-15"},"_buckets":{"deposit":"7c394bf7-e8db-4c5b-bbee-cd94a0dfd201"},"_deposit":{"id":"234954","pid":{"type":"depid","value":"234954","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"塵芥車の積込動作音に基づく動的ゴミ回収判定手法","author_link":["641301","641300","641298","641299"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"塵芥車の積込動作音に基づく動的ゴミ回収判定手法"},{"subitem_title":"A Dynamic Detection Method for Garbage Collection Based on Loading Sound of Garbage Trucks","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[特集:移動の価値を再創造する高度交通システムとパーベイシブシステム] ゴミ収集，動作音，CNN","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"2024-06-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"名城大学大学院理工学研究科"},{"subitem_text_value":"名城大学情報工学部"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Science and Technology, Meijo University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Information Engineering, Meijo 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/234954/files/IPSJ-JNL6506008.pdf","label":"IPSJ-JNL6506008.pdf"},"date":[{"dateType":"Available","dateValue":"2026-06-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL6506008.pdf","filesize":[{"value":"1.9 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":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"5661a347-4373-4a60-b65a-9697b0af6ab0","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"國枝, 祐希"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"鈴木, 秀和"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yuki, Kunieda","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hidekazu, Suzuki","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_publisher_15":{"attribute_name":"公開者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"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":"自治体職員や地域住民が集積所のゴミ回収状況を確認できるWebサービスがある．従来のゴミ回収状況判定手法は塵芥車に搭載したGPSから得られる位置情報と速度情報に基づいて，ジオフェンシング技術により集積所付近で停止していたら「回収中」，集積所から離反したら「回収済み」と判断していたが，十分な判定精度が得られていなかった．本論文では，塵芥車にゴミを積み込んで圧縮するときに発生する積込動作音をCNN（Convolutional Neural Network）により，リアルタイムで検出する手法を提案する．塵芥車の車載器に提案手法を導入し，フィールド実験によりその有効性を検証する．","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"There is a web service that allows municipal employees and local residents to check the status of garbage collection at garbage collection stations. A conventional method for detecting the status of garbage collection is based on the location and speed information obtained from GPS data installed in garbage trucks, and uses geo-fencing technology to determine whether garbage is “collecting” when the truck is stopped near a garbage collection station or “collected” when it leaves the station, however, the detection accuracy has not been sufficiently high. This paper proposes a novel method that detects the loading sound of garbage trucks in real time by using a Convolutional Neural Network (CNN). The effectiveness of the proposed method is verified by field experiments using garbage trucks.","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"1057","bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicPageStart":"1049","bibliographicIssueDates":{"bibliographicIssueDate":"2024-06-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"6","bibliographicVolumeNumber":"65"}]},"relation_version_is_last":true,"item_2_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.20729/00234834","subitem_identifier_reg_type":"JaLC"}]},"weko_creator_id":"44499"},"created":"2025-01-19T01:36:52.510560+00:00","id":234954,"links":{}}