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master's thesis
Detekcija atmosferskih pojava metodama umjetne inteligencije
2020. urn:nbn:hr:190:906638
Vukelić, Dorjan
University of Rijeka
Faculty of Engineering
Department of Automation and Electronics
Section of Electronics, Robotics and Automation

Cite this document

Vukelić, D. (2020). Detekcija atmosferskih pojava metodama umjetne inteligencije (Master's thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:906638

Vukelić, Dorjan. "Detekcija atmosferskih pojava metodama umjetne inteligencije." Master's thesis, University of Rijeka, Faculty of Engineering, 2020. https://urn.nsk.hr/urn:nbn:hr:190:906638

Vukelić, Dorjan. "Detekcija atmosferskih pojava metodama umjetne inteligencije." Master's thesis, University of Rijeka, Faculty of Engineering, 2020. https://urn.nsk.hr/urn:nbn:hr:190:906638

Vukelić, D. (2020). 'Detekcija atmosferskih pojava metodama umjetne inteligencije', Master's thesis, University of Rijeka, Faculty of Engineering, accessed 23 January 2025, https://urn.nsk.hr/urn:nbn:hr:190:906638

Vukelić D. Detekcija atmosferskih pojava metodama umjetne inteligencije [Master's thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2020 [cited 2025 January 23] Available at: https://urn.nsk.hr/urn:nbn:hr:190:906638

D. Vukelić, "Detekcija atmosferskih pojava metodama umjetne inteligencije", Master's thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:190:906638

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Metadata
TitleDetekcija atmosferskih pojava metodama umjetne inteligencije
Title (english)Detection of atmospheric phenomena using artificial intelligence methods
AuthorDorjan Vukelić
MentorZlatan Car (mentor)
Committee memberAlfredo Višković (predsjednik povjerenstva)
Committee memberZlatan Car (član povjerenstva)
Committee memberRene Prenc (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Automation and Electronics)
(Section of Electronics, Robotics and Automation)
Rijeka
Defense date and country2020-09-22, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Cilj ovog rada bila je detekcija atmosferske pojave sprite koja je gotovo nevidljiva golim okom. Za detekciju smo koristili konvolucijsku neuronsku mrežu i testirali smo različite parametre postavki mreže kako bi utvrdili najbolji način za detekciju velikog broja ulaznih podataka. Podaci su ustupljeni od strane Global Meteor Network organizacije, a podaci se nalaze u FITS formatu. Na samom kraju rada prikazani su rezultati i vrijeme računanja mreže pod određenim parametrima.
Abstract (english)
The goal of this work was to discover the atmospheric phenomenon of sprite which is almost invisible to the naked eye. We used a convolutional neural network for detection and tested different parameters of the set network to determine the best way to detect a large amount of input data. The data is available by the Global Meteor Network organizations and the data is in FITS format. At the very end of the paper, the results and time of computing under certain parameters are presented.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:906638
Study programmeTitle: Graduate University Study of Electrical Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike (magistar/magistra inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2021-08-27 13:02:30