X-CleLo: Intelligent Deterministic RFID Data Transformer

نویسندگان

  • Peter Darcy
  • Bela Stantic
  • Abdul Sattar
چکیده

Recently, passive Radio Frequency Identification (RFID) systems have received an exponential amount of attention as researchers have worked tirelessly to implement a stable and reliable system. Unfortunately, despite vast improvements in the quality of RFID technology, a significant amount of erroneous data is still captured in the system. Currently, the problems associated with RFID have been addressed by cleaning algorithms to enhance the data quality. In this paper, we present X-CleLo, a means to intelligently clean and enhance the dirty data using Clausal Defeasible Logic. The extensive experimental study we have conducted has shown that the X-CleLo method has several advantages against a currently utilised cleaning technique and achieves a higher cleaning rate.

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تاریخ انتشار 2010