Efficient RFID Data Cleaning in Supply Chain Management

被引：1

作者：

Fan, Hua ^{[1
]}

Wu, Quanyuan ^{[1
]}

Zhang, Jianfeng ^{[1
]}

机构：

[1] Natl Univ Def Technol, Sch Comp, Changsha 410073, Hunan, Peoples R China

来源：

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2013年 / E96D卷 / 07期

基金：

国家高技术研究发展计划(863计划);

关键词：

data cleaning; RFID technology; Bayesian inference; maximum entropy model; supply chain management;

D O I：

10.1587/transinf.E96.D.1557

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Despite the improvement of the accuracy of RFID readers, there are still erroneous readings such as missed reads and ghost reads. In this letter, we propose two effective models, a Bayesian inference-based decision model and a path-based detection model, to increase the accuracy of RFID data cleaning in RFID based supply chain management. In addition, the maximum entropy model is introduced for determining the value of sliding window size. Experiment results validate the performance of the proposed method and show that it is able to clean raw RFID data with a higher accuracy.

引用

页码：1557 / 1560

页数：4

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