カテゴリ: 論文誌(論文単位)グループ名: 【C】電子・情報・システム部門発行日: 2024/09/01タイトル(英語): Stock Monitoring and Localization Systems for FIFO Method Using RFID Based Pressure Sensing Tag and AI著者名: Danang Kumara Hadi (Graduate School of Science and Engineering, Ibaraki University/Department of Agroindustrial Technology, Universitas Muhammadiyah Jember), Zequn Song (Graduate School of Science and Engineering, Ibaraki University), Budi Rahmadya (Compu著者名(英語): Danang Kumara Hadi (Graduate School of Science and Engineering, Ibaraki University/Department of Agroindustrial Technology, Universitas Muhammadiyah Jember), Zequn Song (Graduate School of Science and Engineering, Ibaraki University), Budi Rahmadya (Computer System Department, Faculty of Information Technology, Andalas University), Ran Sun (Graduate School of Science and Engineering, Ibaraki University), Shigeki Takeda (Graduate School of Science and Engineering, Ibaraki University)キーワード: AI，FIFO，stock monitoring，localization system，RFID，pressure sensing tag要約(英語): This research introduces real-time monitoring and localizing product stock using the First-In-First-Out (FIFO) method with radio frequency identification (RFID) pressure sensing tags. The proposed FIFO system has RFID pressure sensing tags that detect pressure changes, generate sensor codes, and estimate a stock location. Integrating artificial intelligence (AI) improves location estimation accuracy of up-to-date stock visibility. The ability of RFID pressure sensing tags and AI to detect stock from sensor code data enables more effective asset management, optimizes stock management, reduces product waste, and contributes to better efficiency in product inventory management.本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.144 No.9 （2024） 特集：知能メカトロニクス分野と連携する知覚情報技術本誌掲載ページ: 894-900 p原稿種別: 論文／英語電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/144/9/144_894/_article/-char/ja/
