Bayesian Proprioceptor for Forest Fire Observer Network (CROSBI ID 586313)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Šerić, Ljiljana ; Štula, Maja ; Stipaničev, Darko ; Braović, Maja
engleski
Bayesian Proprioceptor for Forest Fire Observer Network
The paper describes design and implementation of Bayesian proprioceptor for forest fire observer network. The proprioceptor, sometimes also referred to as network observer has task of syintactical and semantical sensor and data validation in advanced sensor network Multi agent Bayesian network is used for cooperative data analysis and data understanding having false alarm reduction as final goal. A multi agent system for data sampling and data analysis is described. The proprioceptor is deployed as a part of intelligent forest fire monitoring system (iForestFire).
Probabilistic reasoning; observer network; proprioceptor
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Podaci o prilogu
14-23.
2012.
objavljeno
Podaci o matičnoj publikaciji
6th International KES Conference on Agents and Multi-agent Systems – Technologies and Applications
G. Ježić et al.
Podaci o skupu
6th International KES Conference on Agents and Multi-agent Systems – Technologies and Applications
predavanje
25.06.2012-27.06.2012
Dubrovnik, Hrvatska