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Modeling Context Aware Features for Pervasive Computing
Author(s) -
Hamid Mcheick
Publication year - 2014
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2014.08.022
Subject(s) - computer science , ubiquitous computing , context (archaeology) , adaptation (eye) , context model , human–computer interaction , representation (politics) , context awareness , data science , context management , artificial intelligence , linguistics , philosophy , physics , phone , object (grammar) , paleontology , biology , politics , law , political science , optics
For more than two decades, research in the development of context-aware applications has gained significant attention, in which the context aware should be taken into account to adapt them to the requirements of the environment and users. However, advances in application models to support the development of these systems have not kept up. Researchers have been building and deploying context-aware applications with their behaviors often tailored to specific problem domains, by designing the anticipated context and the desired application behavior. Motivated by the raised facts, this paper presents a context aware model with ability to interact and to adapt smartly and dynamically to environment and needs of users. We are revisiting the context life cycle, especially the representation and the modeling of context features, regarding the relations within these features and the systems functionalities. Different kinds of components adaptation are described and scenarios are presented to illustrate these adaptations. As a proof of concept, we have simulated the context model in health care systems and show the results

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