Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
권호 표지
DOI QR코드

DOI QR Code

Uncertainty Management Technology in Mobile Context-Awareness Computing

모바일 상황인식 컴퓨팅에서의 불확실성 관리 기법

  • Kim, Hoon-Kyu (Dept. of Computer Engineering, Hongik University, ADD) ;
  • Won, Yoo-Hun (Dept. of Computer Engineering, Hongik University, ADD)
  • 김훈규 (홍익대학교 컴퓨터공학과, 국방과학연구소) ;
  • 원유헌 (홍익대학교 컴퓨터공학과, 국방과학연구소)
  • Received : 2013.08.02
  • Accepted : 2013.09.08
  • Published : 2013.09.30
Download PDF
⟨ Previous Next ⟩

Abstract

Uncertainty in Context-aware computing is mainly a consequence of the complexity of context acquisition mechanisms and context processing. The presence of uncertainty may harm the users' confidence in the application, rendering it useless. This paper describes a three-phase strategy to manage uncertainty by identifying its possible sources, representing uncertain information, and determining how to proceed, once uncertain context is detected. The level of effort that is necessary to eliminate the uncertainty of context information affects the reliability of the system, because Sensor network system have no intervention of humans. In this paper, We applied proposed method to the development for the sensor network system, Uncertainty management can be applied a part of the system development life-cycle. It confirmed that result of testing show that detection performance is stable.

상황인식 컴퓨팅에서의 불확실성은 주로 상황 획득 메커니즘과 상황처리의 복잡성에 영향을 준다. 상황인식 어플리케이션에 불확실성이 존재하면 어플리케이션에 사용자 만족도에 손상을 주고 이를 쓸모없게 만든다. 본 논문은 상황에 대한 불확실성의 원천을 식별하고, 불확실한 상황정보를 표현하며 이들을 처리하는 방법을 결정할 수 있는 세 가지 전략을 제시하였다. 센서네트워크시스템은 특성상시스템전 과정에 사람의 개입이 없기 때문에 상황정보에 대한 불확실성을 제거하는 노력의 수준에 따라 시스템의 신뢰도에 영향을 주게 된다. 본 논문에서는 제안한 기법을 센서네트워크 시스템 개발에 적용하여, 불확실성 관리가 시스템개발 수명주기의 한 부분으로 적용이 될 수 있으며, 시스템을 실험한 결과 안정정인 탐지 성능을 나타냄을 확인할 수 있었다.

Keywords

References

  1. Satyanarayanan, M. Pervasive computing: Vision and challenges. IEEE Personal Communications, 8(4), 10-17. 2001.
  2. Satyanarayanan, M. Coping with uncertainty. IEEE Pervasive Computing, 2(3), 2. 2003.
  3. Antifakos, S., Kern, N., Schiele, B., & Schwaninger, A. Towards improving trust in contextaware systems by displaying system confidence. In 7th International Conference on Human Computer Interaction with Mobile Devices and Services (MobileHCIG05) (pp. 9-14). ACM. 2005.
  4. Gu, T., Pung, H. K., &Zhang, D. Q. A bayesian approach for dealing with uncertain contexts. In 2nd International Conference on Pervasive Computing (Pervasive 2004). 2004
  5. Ranganathan, A., Al-Muhtadi, J., & Campbell, R. H. Reasoning about uncertain contexts in Pervasive computing environments. IEEE PERVASIVE Computing Journal, 3(2), 62-70. 2004. https://doi.org/10.1109/MPRV.2004.1316821
  6. Truong, B. A., Lee, Y.-K., & Lee, S.-Y. Modeling and reasoning about uncertainty in context-aware systems. In IEEE International Conference on e-Business Engineering (ICEBE'05) (pp. 102-109). IEEE Computer Society. 2005.
  7. Dey, A. K., Mankoff, J., Abowd, G. D., & Carter, S. Distributed mediation of ambiguous context in aware environments. In Proceedings of the 15th Annual ACM Symposium on User Interface Software and Technology (pp. 121-130). ACM Press. 2002.
  8. Buchholz, T., Kpper, A., & Schiffers, M. Quality of context: What it is and why we need it. In 10th Workshop of the Open View University Association (OVUA 03). 2003.
  9. Sheikh, K., Wegdam, M., & Sinderen, M. V. Quality-of-context and its use for protecting privacy in context aware systems. Journal of Software, 3(3), 83-93. 2008.
  10. Kim, Y., & Lee, K. A quality measurement method of context information in ubiquitous environments. In Hybrid Information Technology (ICHIT 06) (pp. 576-581). IEEE Computer Society. 2006.
  11. Bu, Y., Gu, T., Tao, X., Li, J., Chen, S., & Lu, J. Managing quality of context in pervasive computing. In Sixth International Conference on Quality Software (QSIC 2006). IEEE Computer Society. 2006.
  12. Park, I., Lee, D., & Hyun, S. J. A dynamic context-conflict management scheme for group-aware ubiquitous computing environments. In 29th Annual International Computer Software and Applications Conference (COMPSAC 2005) (pp. 359-364). IEEE. 2005.
  13. Benford, S., Crabtree, A., Flintham, M., Drozd, A., Anastasi, R., Paxton, M., Tandavanitj, N.,Adams, M., &Row-Farr, J. Can you see me now?. ACM Transactions on Computer-Human Interaction, 13(1), 100-133. 2006. https://doi.org/10.1145/1143518.1143522
  14. Beeharee, A., &Steed, A. Exploiting real world knowledge in ubiquitous applications. Personal and Ubiquitous Computing, 11, 429-437. 2007. https://doi.org/10.1007/s00779-006-0091-6
  15. Hightower, J., Consolvo, S., LaMarca, A., Smith, I., & Hughes, J. Learning and recognizing the places we go. In Ubiquitous Computing: 7th International Conference on Ubiquitous Computing, UBICOMP 2005 (pp. 159-176). Springer. 2005.
  16. Mantyjarvia, J., & Seppanen, T. Adapting applications in handheld devices using fuzzy context information. Interacting with Computers, 15(4), 521-538. 2003. https://doi.org/10.1016/S0953-5438(03)00038-9
  17. Benford, S., Anastasi, R., Flintham, M., Drozd, A., Crabtree, A., Greenhalgh, C., Tandavanitj, N. ,Adams, M., & Row-Farr, J. Coping with uncertainty in a location-based game. IEEE Pervasive Computing, 2(3), 34-41. 2003.
  18. Baldauf, M., Dustdar, S., & Rosenberg, F. A survey on context-aware systems. International Journal of Ad Hoc and Ubiquitous Computing, 2(4), 263-277. 2007. https://doi.org/10.1504/IJAHUC.2007.014070
  19. Broens, T., Halteren, A. V., Sinderen, M. V., & Wac, K. Towards an application framework for context-aware m-health applications. International Journal of Internet Protocol Technology, 2(2), 109-116. 2007. https://doi.org/10.1504/IJIPT.2007.012374