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Adaptive Time-Thresholds for RFID Data Cleaning Algorithm

机译:RFID数据清洗算法的自适应时间阈值

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Traditional RFID data cleaning methods based on event filtering algorithms have their own limitation, which cost too much buffer memory space. In this essay, based on the traditional data cleaning methods, the authors have proposed a new RFID data cleaning mechanism based on event with adaptive Time-thresholds through a deep analyze of the RFID data cleaning methods. According to the current tag information, combining the time-window method with pseudo event filtering method, it adaptively adjust the time-thresholds from the aspect of the tag existing circle. The experimental finding shows that this method has reached theoretical and practical significance to some extent, for it can help reduce the consumption of the cache.
机译:传统的基于事件过滤算法的RFID数据清除方法有其自身的局限性,这会占用过多的缓冲存储空间。本文在对传统数据清洗方法的基础上,通过对RFID数据清洗方法的深入分析,提出了一种基于事件时间阈值具有自适应事件的RFID数据清洗机制。根据当前标签信息,将时间窗方法与伪事件过滤方法相结合,从标签存在圈的角度自适应地调整时间阈值。实验结果表明,该方法可以减少缓存的消耗,在一定程度上达到了理论和实际意义。

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