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논문검색

Mining a New Movement Pattern in RFID Database on Internet of Things

초록

영어

In the last few years, RFID is commonly used in many related fields of new service application and new study as one of the significant technological advancements, such as science manufacturing, logistics transportation, traffic management, medical information, and so on. Those intelligent and automatic innovative products gradually take the place of manpower. Due to low cost and remote automatic identification advantages, RFID technology seems to be a popular current trend. In RFID database, there is a vast number of RFID trajectory data with the spatial-temporal characteristic. How to extract the traveling partners from these data is a difficult problem. For solving the difficult problem, we proposed an algorithm called MTP to discovery the traveling partners from RFID database, it uses a intersecting method to mine moving objects with moving together in a period of time. Meanwhile, we analyze the performance of MTP, the result of our experiment demonstrate that the MTP algorithm is suited to mine the traveling partners.

목차

Abstract
 1. Introduction
 2. Related Concepts
 3. The Description of Method
  3.1. The Process of Creating Sub-Trajectory Clusters
  3.2. The Algorithm of MTP
 4. Experiment and Results Analysis
 5. Conclusion
 Acknowledgments
 References

저자정보

  • Kongfa Hu College of Information Technology of Nanjing University of Chinese Medicine, Nanjing, China
  • Long Li College of Information Engineering of Yangzhou University, Yangzhou, China

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