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dc.contributor.author Σέκκας, Οδυσσέας el
dc.contributor.author Χατζηευθυμιάδης, Στάθης Π. el
dc.contributor.author Ζέρβας, Ευάγγελος el
dc.date.accessioned 2015-05-24T18:23:09Z
dc.date.issued 2015-05-24
dc.identifier.uri http://hdl.handle.net/11400/11063
dc.rights Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.source http://ieeexplore.ieee.org/ en
dc.subject Dynamical systems
dc.subject Estimation
dc.subject Fusion reactions
dc.subject Inference engines
dc.subject Δυναμικά συστήματα
dc.subject Εκτίμηση
dc.subject Αντιδράσεις σύντηξης
dc.subject Μηχανές συμπερασμού
dc.title Enhancing location estimation through data fusion en
heal.type conferenceItem
heal.classification Technology
heal.classification Electrical engineering
heal.classification Τεχνολογία
heal.classification Ηλεκτρολογία Μηχανολογία
heal.classificationURI http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI http://zbw.eu/stw/descriptor/18426-4
heal.classificationURI **N/A**-Τεχνολογία
heal.classificationURI **N/A**-Ηλεκτρολογία Μηχανολογία
heal.identifier.secondary DOI: 10.1109/PIMRC.2006.254053
heal.dateAvailable 10000-01-01
heal.language en
heal.access forever
heal.publicationDate 2006
heal.bibliographicCitation Sekkas, O., Hadjieftymiades, S.P. & Zervas, E. (2006) Enhancing location estimation through data fusion, In: Proceedings of the IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC. Helsinki, Finland. 11-14 September, 2006. [online]. p. 1-5, 4022275. Available from: http://ieeexplore.ieee.org/ en
heal.abstract In this paper* we discuss a system that exploits observations derived from sensors, in order to estimate a key factor for pervasive computing and context aware applications: the location of a user. The term "sensors" includes Wi-Fi adapters, IR receivers, etc. The core of the system is the fusion engine which is based on Dynamic Bayesian Networks (DBNs), a powerful mathematical tool for integrating heterogeneous sensor observations. In closing, is provided an evaluation of the system as it comes out from the experimental results. en
heal.publisher IEEE en
heal.fullTextAvailability false
heal.conferenceName IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC en
heal.conferenceItemType poster


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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες Except where otherwise noted, this item's license is described as Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες