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Pregled bibliografske jedinice broj: 579413

Bayesian Proprioceptor for Forest Fire Observer Network


Šerić, Ljiljana; Štula, Maja; Stipaničev, Darko; Braović, Maja
Bayesian Proprioceptor for Forest Fire Observer Network // 6th International KES Conference on Agents and Multi-agent Systems – Technologies and Applications / G. Ježić et al. (ur.).
Dubrovnik, Hrvatska, 2012. str. 14-23 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Bayesian Proprioceptor for Forest Fire Observer Network

Autori
Šerić, Ljiljana ; Štula, Maja ; Stipaničev, Darko ; Braović, Maja

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
6th International KES Conference on Agents and Multi-agent Systems – Technologies and Applications / G. Ježić et al. - , 2012, 14-23

Skup
6th International KES Conference on Agents and Multi-agent Systems – Technologies and Applications

Mjesto i datum
Dubrovnik, Hrvatska, 25-27.06.2012

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Probabilistic reasoning; observer network; proprioceptor

Sažetak
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).

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekt / tema
023-0232005-2003 - AgISEco - Agentski orijentirani inteligentni sustavi nadzora i zaštite okoliša (Darko Stipaničev, )

Ustanove
Fakultet elektrotehnike, strojarstva i brodogradnje, Split