The identification of RFID signal using k-means for pallet-level tagging
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 a...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Springer, Singapore
2020
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/28905/ http://umpir.ump.edu.my/id/eprint/28905/1/The%20Identification%20of%20RFID%20Signal%20Using%20k-Means%20for%20Pallet-Level%20Tagging.pdf |
| Summary: | 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. |
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