作者: Daiki Min , Yuehwern Yih
DOI: 10.1007/S10916-009-9377-3
关键词: Outpatient clinic 、 False positives and false negatives 、 Data processing 、 Fuzzy logic 、 Computer science 、 Radio-frequency identification 、 Robustness (computer science) 、 Real-time computing 、 Monitoring system 、 Data mining 、 Smoothing
摘要: This study is motivated by the observations on data collected radio frequency identification (RFID) readers in a pilot study, which was used to investigate feasibility of implementing an RFID-based monitoring system outpatient eye clinic. The raw RFID from contain noise and missing reads, prevent us determining tag location. In this paper, fuzzy logic-based algorithms are proposed interpret extract accurate information. determine location evaluating its possibility presence absence. To evaluate performance algorithms, numerical experiments conducted using observed Experiments results showed that outperform existing static smoothing method terms minimizing both false positives negatives. Furthermore, applied set simulated show robustness at various levels reader reliability.