A Framework for Situation Inference based on Belief Function Theory
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F12%3A43883807" target="_blank" >RIV/60076658:12510/12:43883807 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A Framework for Situation Inference based on Belief Function Theory
Original language description
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 detectspecific 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
KDIR 2012
ISBN
978-989-8565-29-7
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
358 - 361
Publisher name
INSTIC
Place of publication
Barcelona, Spain
Event location
Barcelona, Spain
Event date
Oct 4, 2012
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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