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- 저자 : Jiadong Xie (검색결과 1 건)
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Study of Traveling Partners’ Discovery Algorithm Based Closed Clustering and Intersecting
Kongfa Hu,Jiadong Xie,Chengjun Hu,Tao Yang,Yuqing Mao,Yun Hu,Long Li 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.6
As the rapid development of IOT (the Internet of Things), RFID technology has been widely applied, and it generates a large of RFID trajectory stream data with the spatial-temporal characteristic. Because RFID has many characteristics, it leads to become very difficult that extracting moving objects groups that together moving (ie. traveling partners) in a period of time from RFID trajectory stream data. Existing methods are difficult to efficiently find this model. This paper presents a closed clustering and intersecting algorithm (CCI) for RFID data to detect movement along traveling partners, which is mainly constituted by two steps: first step is clustering sub-trajectory, it generates sub-trajectory clusters; second step is intersecting sub-trajectories with the traveling partners’ candidate set to improve the candidate set, and find out traveling partners. In this process, we use the principle of Closure to accelerate our processing. Through experiments on the RFID synthetic dataset, we demonstrate the effectiveness and efficiency of our algorithm, thus show that our algorithm is suitable for discovering traveling partners in RFID applications.
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