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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Abstract
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) |
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| 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 |
| URI: | http://umpir.ump.edu.my/id/eprint/28905 |
| Download Statistic: | View Download Statistics |
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