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Pregled bibliografske jedinice broj: 1178706

Semantic Conceptual Framework for Environmental Monitoring and Surveillance—A Case Study on Forest Fire Video Monitoring and Surveillance


Šerić, Ljiljana; Ivanda, Antonia; Bugarić, Marin; Braović, Maja
Semantic Conceptual Framework for Environmental Monitoring and Surveillance—A Case Study on Forest Fire Video Monitoring and Surveillance // Electronics, 11 (2022), 2; 1-18 doi:10.3390/electronics11020275 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1178706 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Semantic Conceptual Framework for Environmental Monitoring and Surveillance—A Case Study on Forest Fire Video Monitoring and Surveillance

Autori
Šerić, Ljiljana ; Ivanda, Antonia ; Bugarić, Marin ; Braović, Maja

Izvornik
Electronics (2079-9292) 11 (2022), 2; 1-18

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
environmental monitoring ; video surveillance ; internet of things ; remote sensing ; conceptual framework ; semantic framework

Sažetak
This paper presents a semantic conceptual framework and definition of environmental monitoring and surveillance and demonstrates an ontology implementation of the framework. This framework is defined in a mathematical formulation and is built upon and focused on the notation of observation systems. This formulation is utilized in the analysis of the observation system. Three taxonomies are presented, namely, the taxonomy of (1) the sampling method, (2) the value format and (3) the functionality. The definition of concepts and their relationships in the conceptual framework clarifies the task of querying for information related to the state of the environment or conditions related to specific events. This framework aims to make the observation system more queryable and therefore more interactive for users or other systems. Using the proposed semantic conceptual framework, we derive definitions of the distinguished tasks of monitoring and surveillance. Monitoring is focused on the continuous assessment of an environment state and surveillance is focused on the collection of all data relevant for specific events. The proposed mathematical formulation is implemented in the format of the computer readable ontology. The presented ontology provides a general framework for the semantic retrieval of relevant environmental information. For the implementation of the proposed framework, we present a description of the Intelligent Forest Fire Video Monitoring and Surveillance system in Croatia. We present the implementation of the tasks of monitoring and surveillance in the application domain of forest fire management.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekti:
EK-EFRR-KK.01.1.1.04.0064 - Razvoj tehnologije za procjenu autopurifikacijskih sposobnosti priobalnih voda (CAAT) (Andričević, Roko, EK - KK.01.1.1.04. Ulaganje u znanost i inovacije-Prvi poziv) ( POIROT)

Profili:

Avatar Url Maja Braović (autor)

Avatar Url Ljiljana Šerić (autor)

Avatar Url Antonia Ivanda (autor)

Avatar Url Marin Bugarić (autor)

Poveznice na cjeloviti tekst rada:

doi www.mdpi.com

Citiraj ovu publikaciju:

Šerić, Ljiljana; Ivanda, Antonia; Bugarić, Marin; Braović, Maja
Semantic Conceptual Framework for Environmental Monitoring and Surveillance—A Case Study on Forest Fire Video Monitoring and Surveillance // Electronics, 11 (2022), 2; 1-18 doi:10.3390/electronics11020275 (međunarodna recenzija, članak, znanstveni)
Šerić, L., Ivanda, A., Bugarić, M. & Braović, M. (2022) Semantic Conceptual Framework for Environmental Monitoring and Surveillance—A Case Study on Forest Fire Video Monitoring and Surveillance. Electronics, 11 (2), 1-18 doi:10.3390/electronics11020275.
@article{article, author = {\v{S}eri\'{c}, Ljiljana and Ivanda, Antonia and Bugari\'{c}, Marin and Braovi\'{c}, Maja}, year = {2022}, pages = {1-18}, DOI = {10.3390/electronics11020275}, keywords = {environmental monitoring, video surveillance, internet of things, remote sensing, conceptual framework, semantic framework}, journal = {Electronics}, doi = {10.3390/electronics11020275}, volume = {11}, number = {2}, issn = {2079-9292}, title = {Semantic Conceptual Framework for Environmental Monitoring and Surveillance—A Case Study on Forest Fire Video Monitoring and Surveillance}, keyword = {environmental monitoring, video surveillance, internet of things, remote sensing, conceptual framework, semantic framework} }
@article{article, author = {\v{S}eri\'{c}, Ljiljana and Ivanda, Antonia and Bugari\'{c}, Marin and Braovi\'{c}, Maja}, year = {2022}, pages = {1-18}, DOI = {10.3390/electronics11020275}, keywords = {environmental monitoring, video surveillance, internet of things, remote sensing, conceptual framework, semantic framework}, journal = {Electronics}, doi = {10.3390/electronics11020275}, volume = {11}, number = {2}, issn = {2079-9292}, title = {Semantic Conceptual Framework for Environmental Monitoring and Surveillance—A Case Study on Forest Fire Video Monitoring and Surveillance}, keyword = {environmental monitoring, video surveillance, internet of things, remote sensing, conceptual framework, semantic framework} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • Social Science Citation Index (SSCI)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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