CAJ | 학술논문

[目的]探讨对RFID数据冗余、脏读以及漏读数据进行过滤，整理出上层应用所需要的有效事件的方法。[方法]运用基于时间和次数阀值、数据校验、TDS数据解析以及基于伯努利概率的动态时间窗等方法进行研究设计。[结果]提出3种数据过滤器：冗余过滤器用于处理多读数据，平滑过滤器用于处理脏读数据，基于伯努利的动态自适应平滑算法的漏读数据处理器处理漏读数据，将这3种过滤器依次组合，组成数据过滤模型，最终构成数据过滤方法。[结论]运用这3种过滤器组成的数据过滤模型，能够很好的对RFID原始数据进行过滤，获得上层应用所需要的有效事件。
[목적]탐토대RFID수거용여、장독이급루독수거진행과려，정리출상층응용소수요적유효사건적방법。[방법]운용기우시간화차수벌치、수거교험、TDS수거해석이급기우백노리개솔적동태시간창등방법진행연구설계。[결과]제출3충수거과려기：용여과려기용우처리다독수거，평활과려기용우처리장독수거，기우백노리적동태자괄응평활산법적루독수거처리기처리루독수거，장저3충과려기의차조합，조성수거과려모형，최종구성수거과려방법。[결론]운용저3충과려기조성적수거과려모형，능구흔호적대RFID원시수거진행과려，획득상층응용소수요적유효사건。
[Objective]This paper illustrates a data filtering method to filter redundancy data, dirty read and missed readings of RFID middleware and sort out the effective incident for the upper layer system.[Method]A time-based and number-based filter, a CRC and TDS data analysis filter, and a dynamic time window filter based on Bernoulli probability are used to established the method.[Re-sult]Three filters was constructed, which are redundant data filter for more readings, smoothing fil-ter for dirty readings and dynamic time window filter based on Bernoulli model for missed readings. Finally, the three filters were combined and the RFID data filtering method was proposed.[Conclu-sion]This data filtering is effective in filtering of RFID raw data and obtaining effective incident for the upper layer system.