ETRI Journal

Electronics and Telecommunications Research Institute (한국전자통신연구원)
권호 표지
DOI QR코드

DOI QR Code

Development of an Event Stream Processing System for the Vehicle Telematics Environment

  • Kim, Jong-Ik (Department of Computer Science & Engineering, Chonbuk National University) ;
  • Kwon, Oh-Cheon (IT Convergence Technology Research Laboratory, ETRI) ;
  • Kim, Hyun-Suk (IT Convergence Technology Research Laboratory, ETRI)
  • Received : 2009.02.23
  • Accepted : 2009.05.20
  • Published : 2009.08.30
Download PDF
⟨ Previous Next ⟩

Abstract

In this letter, we present an event stream processing system that can evaluate a pattern query for a data sequence with predicates. We propose a pattern query language and develop a pattern query processing system. In our system, we propose novel techniques for run-time aggregation and negation processing and apply our system to stream data generated from vehicles to monitor unusual driving patterns.

Keywords

References

  1. A. Arasu, S. Babu, and J. Widom, “CQL: A Language for Continuous Queries over Streams and Relations,” Proc. Int. Workshop on Database Programming Languages, 2003, pp. 1-19.
  2. S. Chandrasekaran et al., “TelegraphCQ: Continuous Dataflow Processing for an Uncertain World,” Proc. Conf. Innovative Data Syst. Research, 2003, p. 668.
  3. W. Eugene, Y. Diao, and S. Rizvi, “High-Performance Complex Event Processing over Streams,” Proc. ACM SIGMOD, 2006, pp. 407-418.
  4. J. Agrawal et al., “Efficient Pattern Matching over Event Streams,” Proc. ACM SIGMOD, 2008, pp. 147-160.

Cited by

  1. An intelligent parking platform of neighborhood EV for autonomous mobility service vol.74, pp.10, 2009, https://doi.org/10.1007/s11042-014-1862-0