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Outputs (23)

Jabber-based cross-domain efficient and privacy-ensuring context management framework. (2013)
Journal Article
Jaroucheh, Z., Liu, X., & Smith, S. (2013). Jabber-based cross-domain efficient and privacy-ensuring context management framework. International Journal of Advanced Computer Science and Applications, 4, 84

In pervasive environments, context-aware applications require a global knowledge of the context information distributed in different spatial domains in order to establish context-based interactions. Therefore, the design of distributed storage, retri... Read More about Jabber-based cross-domain efficient and privacy-ensuring context management framework..

An approach to domain-based scalable context management architecture in pervasive environments (2011)
Journal Article
Jaroucheh, Z., Liu, X., & Smith, S. (2012). An approach to domain-based scalable context management architecture in pervasive environments. Personal and Ubiquitous Computing, 16(6), 741-755. https://doi.org/10.1007/s00779-011-0422-0

In pervasive environments, context management systems are expected to administrate large volume of contextual information that is captured from spatial to nonspatial elements. Research in context-aware computing produced a number of middleware system... Read More about An approach to domain-based scalable context management architecture in pervasive environments.

Recognize contextual situation in pervasive environments using process mining techniques (2010)
Journal Article
Jaroucheh, Z., Liu, X., & Smith, S. (2011). Recognize contextual situation in pervasive environments using process mining techniques. Journal of Ambient Intelligence and Humanized Computing, 2(1), 53-69. https://doi.org/10.1007/s12652-010-0038-7

Research in pervasive computing and ambience intelligence aims to enable users to interact with the environment in a context-aware way. To achieve this, a complex set of features describing different aspects of the environment has to be captured and... Read More about Recognize contextual situation in pervasive environments using process mining techniques.