{"links":{},"id":214653,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00214653","sets":["6504:10735:10736"]},"path":["10736"],"owner":"44499","recid":"214653","title":["エッジAIにおけるマルチAIアクセラレータを用いた推論エンジンの並列化による性能向上"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"527d73b1-dd51-4a8e-8694-8643f208d4aa"},"_deposit":{"id":"214653","pid":{"type":"depid","value":"214653","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"エッジAIにおけるマルチAIアクセラレータを用いた推論エンジンの並列化による性能向上","author_link":["551825","551826","551827"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"エッジAIにおけるマルチAIアクセラレータを用いた推論エンジンの並列化による性能向上"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"コンピュータシステム","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2021-03-04","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":"農工大"},{"subitem_text_value":"農工大"},{"subitem_text_value":"農工大"}]},"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/214653/files/IPSJ-Z83-6H-04.pdf","label":"IPSJ-Z83-6H-04.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-28"}],"format":"application/pdf","filename":"IPSJ-Z83-6H-04.pdf","filesize":[{"value":"984.3 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"05466c3b-83d3-416a-b3ba-23fc4d7ac4d7","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"藤江, 涼太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"水登, 恵"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"並木, 美太郎"}],"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":"エッジAIをサポートするAIアクセラレータを用いたアプリケーションの作成と，並列化による速度向上を目指す．実装するアプリケーションは，手動で走行した際の車載カメラ画像とコントローラ値を教師データとして，End to Endで学習し走行する簡易的な自動運転システムを試作した．ハードウェアは，簡易模型自動車Zumo・ Raspberry Pi 4・AIアクセラレータIntel NCS2を用い，推論フレームワークはOpenVINOを用いた． このアプリケーションは，道路の検出・走行・標識の認識など，複数の推論を同時に行う必要があり，実行速度の向上が求められる．そこで，Raspberry Pi上で推論を行うIntel NCS2の並列化による速度向上と,その際の消費電力の検証を行う．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"84","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"83","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:15:27.533482+00:00","updated":"2025-01-19T16:31:53.003158+00:00"}