X-CleLo: Intelligent Deterministic RFID Data Transformer

Peter Darcy, Bela Stantic, A. Sattar
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引用次数: 4

Abstract

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.
智能确定性RFID数据转换器
最近,无源射频识别(RFID)系统受到了指数级的关注,因为研究人员已经不知疲倦地实现了一个稳定可靠的系统。不幸的是,尽管RFID技术的质量有了很大的提高,但系统中仍然捕获了大量的错误数据。目前,与RFID相关的问题已经通过清洗算法来解决,以提高数据质量。在本文中,我们提出了X-CleLo,一种使用子句可否定逻辑智能清理和增强脏数据的方法。我们进行的大量实验研究表明,与目前使用的清洁技术相比,X-CleLo方法具有几个优势,并且可以实现更高的清洁速率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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