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Deterministic and Probabilistic Implementation of Context
Pisa, Italy March 13-March 17
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PERCOMW.2006.40Fourth IEEE International Conference ...
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Oliver Brdiczka, Laboratoire GRAVIR INRIA Rhone-Alpes, France
Patrick Reignier, Laboratoire GRAVIR INRIA Rhone-Alpes, France
James L. Crowley, Laboratoire GRAVIR INRIA Rhone-Alpes, France
Dominique Vaufreydaz, Laboratoire GRAVIR INRIA Rhone-Alpes, France
Jerome Maisonnasse, Laboratoire GRAVIR INRIA Rhone-Alpes, France
This paper addresses the problem of implementing an abstract context model. First, the abstract context model is represented by a network of situations. Two different implementations for the situation model are then proposed: a deterministic one based on Petri nets and a probabilistic one based on Hidden Markov Models. Both implementations are illustrated and applied to real-world problems.
Citation:
Oliver Brdiczka, Patrick Reignier, James L. Crowley, Dominique Vaufreydaz, Jerome Maisonnasse, "Deterministic and Probabilistic Implementation of Context," percomw, pp.46-50, Fourth IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06), 2006
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