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A cleaning method of noise data in RFID data streams

机译:RFID数据流中噪声数据的清理方法

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摘要

In recent years, RFID technology is gradually applied to the field of real-time monitoring, positioning, tracking, etc. As the unreliability of RFID data, the development and the application of RFID technology are limited. In certain practical applications, false negative reading can be solved by multi-reading periodically. However, false positive reading (ie, noise) provided the wrong information to high-level RFID applications. For example, readers are installed on the shopping shelf, they send false anti-theft alarms due to false positive reading. False positive reading has seriously affected the promotion and application of RFID technology. Therefore, it is necessary to design an efficient and feasible method to eliminate false positive reading. The paper proposes an efficient cleaning mechanism to solve the false positive problem in RFID data streams. The result of experiment shows that the method is effective and efficient.
机译:近年来,RFID技术逐渐应用于实时监测,定位,跟踪等领域。由于RFID数据的不可靠性,限制了RFID技术的发展和应用。在某些实际应用中,可以通过周期性的多次读取来解决误读的问题。但是,误报(即噪声)会为高级RFID应用提供错误的信息。例如,阅读器安装在购物架上,由于误报而发送误报防盗警报。错误的正面阅读严重影响了RFID技术的推广和应用。因此,有必要设计一种有效可行的方法来消除误报。本文提出了一种有效的清除机制,以解决RFID数据流中的误报问题。实验结果表明,该方法是有效的。

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