Abstract
Context-aware computing with uncertainty includes forming model,fusing of aware context, managing context information and so on. Approachcom-parison on computing of aware context with uncertainty for makingdynamic deci-sion is focused in this paper. We compare dynamic context-awarecomputing with improved Random Set Theory (RST) and extended D-SEvidence Theory (EDS). We give new modeling mode based on RST for awarecontext and our computing approach of modeled aware context, extend classicD-S Evidence Theory after considering context’s feature. Then comparerelative computing methods, enu-merate experimental examples and give theevaluation. By comparisons, the more validity of new context-aware computingapproach based on RST than EDS with uncertainty information has been testedsuccessfully.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Zhang, D.G., Zhao, H.: Random Set Theory Applied to Electric Fault Fusion Forecast in Monitoring System of Hydropower Plant [C]. In: The 4th information fusion international conference, Motreal, vol. 8, pp. ThC1–11 (2001)
Fisher, J.: Fast JPDA multi-target tracking algorithm[J]. Appl.Opt. 28, 371–375 (1999)
Mahler, R.: Random Sets as a Foundation for General Data Fusion. In: Proc. the Sixth Joint Service Data Fusion Symposium, Laurel, pp. 357–394 (2002)
Reid, D B.: An Algorithm for Tracking Multiple Targets [J]. IEEE Transaction on Automatic Control AC-24(6), 843–854 (1999)
Saha, F T, Chang, T C.: An efficient algorithm for multi-sensor track fusion[J]. IEEE Trans. Aero-space Electron. Systems 34(1), 200–210 (1998)
Mori, S., Chong, C.-Y., Wishner, R.P.: Tracking and Classifying MultipleTargets without A Priori Identification. IEEE Transaction on Automatic Control AC-31(5), 401–409 (1998)
Paul, C., Richard, M.: Managing context data for smart spaces [J]. IEEE Personal Communications 10, 44–46 (2000)
Zhang, D., Xu, G., Shi, Y.: Extended Method Of Evidence Theory For Pervasive Computing [J] (in Chinese). Chinese Journal of Computer (July 2004)
Ling-yu, X.: Applicaion of Fuzzy Fusion to Accident Forecast in Hydropower station. In: Proceedings of The Second International Conference on Information Fusion, vol. 2 (1999)
Morefield, C.L.: Application of 0-1 Integer Programming to Multi-target Tracking Problems. IEEE Trans action on Automatic Control AC-22, 302–312 (1997)
Goodman, I.R., Mahler, R.P.S., Nguyen, H.T.: Mathematics of Data Fusion. Kluwer, Dordrecht (1997)
Musick, S., Kastella, K., Mahler, R.: A Practical Implementation of Joint Multi-target Probabilities. In: SPIE Proceedings, vol. 3374, pp. 26–37 (2005)
Donald, J.P., Lin, L., Dieter, F.: Inferring High-Level Behavior from Low-Level Sensors. In: Dourish, P., Friday, A. (eds.) UbiComp 2006. LNCS, vol. 4206, Springer, Heidelberg (2006)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
Wang, Z., Zhang, D., Li, A., Huang, X., Peng, H. (2007). Approach Comparison on Context-Aware Computing with Uncertainty. In: Hui, Kc., et al. Technologies for E-Learning and Digital Entertainment. Edutainment 2007. Lecture Notes in Computer Science, vol 4469. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73011-8_35
Download citation
DOI: https://doi.org/10.1007/978-3-540-73011-8_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73010-1
Online ISBN: 978-3-540-73011-8
eBook Packages: Computer ScienceComputer Science (R0)