The Use of the Belief Function Theory for a Situation Inference

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F12%3A43883821" target="_blank" >RIV/60076658:12510/12:43883821 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
The Use of the Belief Function Theory for a Situation Inference
Original language description
The ability to identify the occurrence of situation is the main function of context-aware systems. The process identifying of situation is not easy due to the uncertain nature of the processed data from sensors. A major problem in context-aware systems is making sure that computers interpret the sensor data correctly. In this paper, we use the belief function theory to detect a specific situation on the basis of uncertain sensor data. We proposed a procedure for determining the situation occurrence using uncertain sensor data. The procedure consists of two parts: processing of the data from sensors (filtering and integration) and detection of the situation on the basis of the generation of alternative frames of discernment. The case study demonstratesthat the proposed procedure is effective and can be used at situation detection.
Czech name
—
Czech description
—

Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)