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A temporal-based model of uncertain RFID data

Radio Frequency Identification (RFID) technology is widely used in object tracking and tracing. However, massive uncertain data produced by RFID readers is not effective to use in RFID application systems. According to the position and the containment features of RFID objects, this paper proposes a new temporal-based uncertain data model, which can mainly store massive missed RFID data. In addition, the model stores certain data and inferred data in the same table, and this can efficiently support a variety of queries for tracking and tracing RFID objects.