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Similarity Search for Trajectories of RFID Tags in Supply Chain Traffic

机译:供应链交通中RFID标签轨迹的相似性搜索

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In this fast developing period the use of RFID have become more significant in many applicationdomaindue to drastic cut down in the price of the RFID tags. This technology is evolving as a means oftracking objects and inventory items. One such diversified application domain is in Supply ChainManagement where RFID is being applied as the manufacturers and distributers need to analyse productand logistic information in order to get the right quantity of products arriving at the right time to the rightlocations. Usually the RFID tag information collected from RFID readers is stored in remote database andthe RFID data is being analyzed by querying data from this database based on path encoding method bythe property of prime numbers. In this paper we propose an improved encoding scheme that encodes theflows of objects in RFID tag movement. A Trajectory of moving RFID tags consists of a sequence oftagsthat changes over time. With the integration of wireless communications and positioning technologies,the concept of Trajectory Database has become increasingly important, and has posed great challenges tothe data mining community.The support of efficient trajectory similarity techniques is indisputably veryimportant for the quality of data analysis tasks in Supply Chain Traffic which will enable similar productmovements.
机译:在这个快速发展的时期,由于RFID标签价格的急剧下降,在许多应用领域中,RFID的使用变得越来越重要。这项技术正在发展为跟踪对象和库存物品的一种手段。供应链管理就是其中一种这样的多元化应用领域,由于制造商和分销商需要分析产品和物流信息,以便在正确的时间,正确的位置到达正确数量的产品,因此正在应用RFID。通常将从RFID阅读器收集的RFID标签信息存储在远程数据库中,并通过基于质数特性的路径编码方法通过查询来自该数据库的数据来分析RFID数据。在本文中,我们提出了一种改进的编码方案,该方案对RFID标签运动中的对象流进行编码。移动RFID标签的轨迹由一系列随时间变化的标签组成。随着无线通信技术和定位技术的集成,轨迹数据库的概念变得越来越重要,并且对数据挖掘社区提出了巨大的挑战。有效轨迹相似性技术的支持对于供应链中数据分析任务的质量无疑是非常重要的。能够实现类似产品移动的流量。

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