Ahmad Fakhri, Ab. Nasir and Anwar, P. P. Abdul Majeed and Muhammad Aizzat, Zakaria and Choong, Chun Sern and Mohd Azraai, Mohd Razman and Azura, Azmi (2020) Comparison of support vector machine and friis equation for identification of pallet-level tagging using RFID signal. In: 10th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2020 , 18 - 19 April 2020 , Malaysia. pp. 215-219.. ISBN 978-172815033-8
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Abstract
Pallet-level tagging placement using the Radio Frequency Identification (RFID) system that clusters the support vector machine (SVM) and the Friis propagation equation is suggested. SVM and Friis are used to train RSSI for pallet-level tagging and the interaction between RSSI and distance is built to define RSSI accuracy. In this paper, the contrast with the Friis transmission equation and SVM by using RFID reading extracts to discern pallet-level tagging to estimate the pallet-level of the actual level has been shown. With compare the Friss model, a higher rating accuracy of 90,52 percent and 90,17 percent of the classification accuracy in train and test data has been demonstrated in the Linear-SVM model.
| Item Type: | Conference or Workshop Item (Speech) |
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| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | RFID; Support vector machine; Friis transmission equation; Pallet-level tagging |
| 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: | 11 Aug 2020 03:34 |
| Last Modified: | 11 Aug 2020 03:34 |
| URI: | http://umpir.ump.edu.my/id/eprint/28906 |
| Download Statistic: | View Download Statistics |
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