Intelligent contextual data stream monitoring

Kolomvatsos, K., Anagnostopoulos, C. and Hadjiefthymiades, S. (2015) Intelligent contextual data stream monitoring. In: PETRA '15: 8th International Conderence on Pervasive Technologies Related to Assistive Environments, Corfu, Greece, 1-2 Jul 2015, p. 58. ISBN 9781450334525 (doi: 10.1145/2769493.2769568)

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Contextual data monitoring plays an important role in increasing the quality of life of humans. Sensors observing specific activities report contextual data to a central system capable of situational reasoning. The system responds to any event related to the observed phenomenon. We propose an intelligent mechanism that builds on top of sensors measurements and derives the appropriate decisions for immediate identification of events. The mechanism adopts multivariate data fusion, time-series prediction, and consensus theory for aggregating measurements. We adopt Fuzzy Logic for handling the induced uncertainty in the decision making on the derived alerts. Simulations over real contextual data showcase the advantages and disadvantages of our monitoring mechanism.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Anagnostopoulos, Dr Christos and Kolomvatsos, Dr Kostas
Authors: Kolomvatsos, K., Anagnostopoulos, C., and Hadjiefthymiades, S.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
College/School:College of Science and Engineering > School of Computing Science
Copyright Holders:Copyright © 2016 ACM
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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