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  • The ability to identify the occurrence of a situation is the main function of context-aware systems. The process of identifying a situation is not easy due to the uncertain nature of the processed information. We use the belief function theory to detect specific situations on the basis of uncertain sensor data. In this paper, we propose a framework for situation awareness based on the belief function theory which is applied to determination of situation occurrence from uncertain sensor data. The framework consists of the situation sensors data processing (filtering, integration) and of situation detection based on alternative frames of discernment generation. The case study demonstrates that the proposed framework is effective and can be used to situation detection.
  • The ability to identify the occurrence of a situation is the main function of context-aware systems. The process of identifying a situation is not easy due to the uncertain nature of the processed information. We use the belief function theory to detect specific situations on the basis of uncertain sensor data. In this paper, we propose a framework for situation awareness based on the belief function theory which is applied to determination of situation occurrence from uncertain sensor data. The framework consists of the situation sensors data processing (filtering, integration) and of situation detection based on alternative frames of discernment generation. The case study demonstrates that the proposed framework is effective and can be used to situation detection. (en)
Title
  • A Framework for Situation Inference based on Belief Function Theory
  • A Framework for Situation Inference based on Belief Function Theory (en)
skos:prefLabel
  • A Framework for Situation Inference based on Belief Function Theory
  • A Framework for Situation Inference based on Belief Function Theory (en)
skos:notation
  • RIV/60076658:12510/12:43883807!RIV13-MSM-12510___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 120212
http://linked.open...ai/riv/idVysledku
  • RIV/60076658:12510/12:43883807
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Belief Function Theory; Context Discovery; Situation Recognition; Information Extraction (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [EA71B00EF462]
http://linked.open...v/mistoKonaniAkce
  • Barcelona, Spain
http://linked.open...i/riv/mistoVydani
  • Barcelona, Spain
http://linked.open...i/riv/nazevZdroje
  • KDIR 2012
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Beránek, Ladislav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • INSTIC
https://schema.org/isbn
  • 978-989-8565-29-7
http://localhost/t...ganizacniJednotka
  • 12510
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