Interpretation of Inconsistencies via Context Consistency Diagrams

Viktoriya Degeler*, Alexander Lazovik

*Corresponding author voor dit werk

OnderzoeksoutputAcademicpeer review

2 Citaten (Scopus)

Samenvatting

Pervasive context-aware systems base their responses on information about the environment collected from ubiquitous sensors. The inevitable drawback of such systems is that raw data collected from sensors is often noisy, corrupted, and imprecise. Erroneous sensor readings create uncertainties and ambiguous interpretations. Thus creating an interpretation challenge for the context-aware system that needs to reason about possible states of only partially observable subjects.

We propose a mechanism for pervasive context-aware systems to process the information gathered from sensors so to obtain knowledge about possible environment states. This includes both the ability to reason about a situation with incomplete knowledge and to cope with erroneous contexts. We present a probabilistic approach to reason about the likelihood of each particular situation, state of a variable, and variable interdependence. The evaluation shows that the proposed approach is applicable to real-time context inference problems.

Originele taal-2English
Titel2011 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS (PERCOM 2011)
Plaats van productieNEW YORK
UitgeverijIEEE (The Institute of Electrical and Electronics Engineers)
Pagina's20-27
Aantal pagina's8
ISBN van geprinte versie978-1-4244-9529-0
StatusPublished - 2011
EvenementIEEE International Conference on Pervasive Computing and Communications (PerCom) -
Duur: 21-mrt.-201125-mrt.-2011

Other

OtherIEEE International Conference on Pervasive Computing and Communications (PerCom)
Periode21/03/201125/03/2011

Vingerafdruk

Duik in de onderzoeksthema's van 'Interpretation of Inconsistencies via Context Consistency Diagrams'. Samen vormen ze een unieke vingerafdruk.

Citeer dit