The identification of RFID signal using k-means for pallet-level tagging

Ahmad Fakhri, Ab. Nasir and Choong, Chun Sern and Anwar, P. P. Abdul Majeed and Muhammad Aizzat, Zakaria and Mohd Azraai, Mohd Razman (2020) The identification of RFID signal using k-means for pallet-level tagging. In: 11th Malaysian Technical Universities Conference on Engineering and Technology, MUCET 2019, 19-22 November 2019 , Kuantan; Malaysia. pp. 195-203., 678. ISSN 1876-1100 ISBN 978-981156024-8

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Radio Frequency Identification (RFID) applications are becoming increasingly popular in a myriad of areas, and therefore, an effective RFID technology-based location would offer a much-needed additional in tracking system. This research focuses on the identification of the location of passive RFID at the pallet-level, which uses the RFID signal strength to cluster the pallet level tagging through k-means. A comparison between the actual and the predicted level attained via the k-means clustering is evaluated through a multi-class performance metrics. It was demonstrated from the investigation that the k-means model is capable of achieving a classification accuracy of 69% and 67% for the train and test data, respectively.

Item Type: Conference or Workshop Item (Speech)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: K-means; Pallet-level tagging; RFID; Unsupervised machine learning
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Manufacturing and Mechatronic Engineering Technology
Depositing User: Dr Anwar P. P. Abdul Majeed
Date Deposited: 10 Aug 2020 07:50
Last Modified: 10 Aug 2020 07:50
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