Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
권호 표지
DOI QR코드

DOI QR Code

A Context-Aware Engine for Mobile Platforms

모바일 플랫폼 상황이해엔진

  • Lee Sun A (School of Electrical and Computer Engineering and AlTrc, Chungbuk National University) ;
  • Lee Keon Myung (School of Electrical and Computer Engineering and AlTrc, Chungbuk National University) ;
  • Lee Jee-Hyong (School of Information and Communication, Sungkyunkwan University)
  • 이선아 (충북대학교 전기전자컴퓨터공학부, 첨단정보기술연구센터) ;
  • 이건명 (충북대학교 전기전자컴퓨터공학부, 첨단정보기술연구센터) ;
  • 이지형 (성균관대학교 정보통신공학부)
  • Published : 2005.06.01
Download PDF
⟨ Previous Next ⟩

Abstract

Context-aware intelligent services are essential in ubiquitous computing and intelligent robots environments, which make decisions on which services to start with the consideration of surrounding contexts. In the ubiquitous and intelligent environments, context-aware service engines should be light-weighted due to the resource restrictions on the devices. This paper presents a context-aware service engine which is designed for light-weighted devices. The context-aware service engine has been designed with special attention to improve the execution speed and to minimize the memory requirement.

지능로봇이나 유비쿼터스 환경에서는 주변의 상황정보를 파악하여 이를 바탕으로 적당한 서비스를 제공하는 것이 필요하다. 상황에 따른 서비스를 탐색하여 제공하는 유용한 플랫폼으로 규칙기반 시스템을 활용하는 연구가 많이 진행되어왔다. 이 논문에서는 상황이해 서비스를 위한 규칙기반 시스템의 특성에 대해서 기술하고, 이를 바탕으로 설계하여 구현한 규칙기반 상황이해 서비스 엔진에 대해서 기술한다 구현한 상황이해 엔진은 임베이드 환경을 비롯한 모바일 환경에서도 동작할 수 있도록 수행속도와 메모리요구량에 대한 고려를 하여 설계되었다.

Keywords

References

  1. A. K. Dey, Providing Architectural Support for Building Context-Aware Applications, Ph.D. dissertation, Georgia Institute of Technology, 2000.
  2. P. J. Brown, The stick-e document: a framework for creating context-aware applications, Electric Publishing, Vol. 9, No. 1, pp. 1-14, 1996.
  3. D. Caswell, D. P. Debaty, Creating Web representations for places, Proceedings of the 2nd International Symposium on Handheld and Ubiquitous Computing, pp. 114-126, 2000.
  4. B. N. Schilit, System architecture for context-aware mobile computing, Ph. D. dissertation, Columbia University, New York, 1995.
  5. G. J. Nelson, Context-aware and Location Systems, Ph.D. dissertation, University of Cambridge, 1998.
  6. A. Schmidt, K. A. Aidoo, et al, Advanced Interaction in Context, Proceeding of HUC'99, pp. 89-101, 1999.
  7. A. Dey, J. Mankoff, G. Abowd, S. Carter, Distributed mediation of ambiguous context in aware environments, Proceeding of the 15th annual ACM symposium on User interface software and technology, 2002.
  8. S. Swan, An Introduction to System Level Modeling in SystemC 2.0. May 2001. http://www.systemc.org.
  9. J. Pascoe, Adding generic contextual capabilities to wearable computers, Proceedings of the 2nd IEEE International Symposium on Wearable Computers, pp. 92-99, 1998.
  10. G. Myles, A. Friday and N. Davies. Preserving Privacy in Environments with Location-Based Applications. IEEE Pervasive Computing 2(1). (2003). 56-64. https://doi.org/10.1109/MPRV.2003.1186726
  11. A. R. Beresford and F. Stajano. Location Privacy in Pervasive Computing. IEEE Pervasive Computing 2(1). (2002). 46-55. https://doi.org/10.1109/MPRV.2003.1186725
  12. M. Gruteser, G. Schelle, A. Jain, R. Han and D. Grunwald. Privacy-Aware Location Sensor Networks. http://systems.cs.colorado.edu/Papers/Generated/ 2003PrivacyAwareSensors.html (2003).
  13. X. Jiang and J. Landay. Modeling Privacy Control in Context-aware Systems. IEEE Pervasive 1(3). (2002).
  14. M. Langheinrich. A Privacy Awareness System for Ubiquitous Computing Environments. In Ubicomp 2002. (2002).