TY - GEN
T1 - Comparison of Support Vector Machine and Friis Equation for Identification of Pallet-Level Tagging Using RFID Signal
AU - Sern, Choong Chun
AU - Nasir, Ahmad Fakhri Ab
AU - Abdul Majeed, Anwar P.P.
AU - Zakaria, Muhammad Aizzat
AU - Mohd Razman, Mohd Azraai
AU - Azmi, Azura
N1 - Funding Information:
ACKNOWLEDGEMENT The authors are grateful to KPT Malaysia for providing the funding under the FRGS grant [FRGS/1/2017/ICT05/UMP/02/2] and [RDU170107].
Publisher Copyright:
© 2020 IEEE.
PY - 2020/4
Y1 - 2020/4
N2 - 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.
AB - 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.
KW - Friis Transmission Equation
KW - Pallet-level Tagging
KW - RFID
KW - Support Vector Machine
UR - http://www.scopus.com/inward/record.url?scp=85086630698&partnerID=8YFLogxK
U2 - 10.1109/ISCAIE47305.2020.9108834
DO - 10.1109/ISCAIE47305.2020.9108834
M3 - Conference Proceeding
AN - SCOPUS:85086630698
T3 - ISCAIE 2020 - IEEE 10th Symposium on Computer Applications and Industrial Electronics
SP - 215
EP - 219
BT - ISCAIE 2020 - IEEE 10th Symposium on Computer Applications and Industrial Electronics
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2020
Y2 - 18 April 2020 through 19 April 2020
ER -