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undergraduate thesis
Duboko učenje za simuliranje slika raspršenja goriva
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:500659
Gracin, Jakov
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Gracin, J. (2021). Duboko učenje za simuliranje slika raspršenja goriva (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:500659

Gracin, Jakov. "Duboko učenje za simuliranje slika raspršenja goriva." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:500659

Gracin, Jakov. "Duboko učenje za simuliranje slika raspršenja goriva." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:500659

Gracin, J. (2021). 'Duboko učenje za simuliranje slika raspršenja goriva', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 23 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:500659

Gracin J. Duboko učenje za simuliranje slika raspršenja goriva [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 July 23] Available at: https://urn.nsk.hr/urn:nbn:hr:168:500659

J. Gracin, "Duboko učenje za simuliranje slika raspršenja goriva", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:500659

Metadata
TitleDuboko učenje za simuliranje slika raspršenja goriva
Title (english)Deep Learning for Fuel Spray Image Simulation
AuthorJakov Gracin
MentorSven Lončarić (mentor)
Committee memberSven Lončarić (predsjednik povjerenstva)
Committee memberFran Huzjan (član povjerenstva)
Committee memberDonik Vršnak (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-09-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad bavi se računalnim stvaranjem slika oblaka dizelskog goriva iz raspršivača u motoru s unutarnjim izgaranjem, sa svrhom unaprijeđenja i istraživanja biodizelskog goriva. Time se nastoji riješiti problem ograničene količine dostupnih slika dobivenih snimanjem, kako je iz relativno malenog broja izvornih slika moguće digitalnim stvaranjem dobiti skup slika dostatne veličine za daljnje istraživanje. Uvode se i opisuju općeniti koncepti i metode dubokog učenja poput neuronskih mreža, te posebice GAN (Generative Adversarial Networks), skupina neuronskih mreža korištenih za stvaranje novih slika na temelju postojećih, pomoću koje je implementirana metoda stvaranja slika oblaka goriva.
Abstract (english)
This paper explores the process of digitally generating images of fuel clouds dispersed in an internal combustion engine, with the purpose of advancing the research of biodiesel fuels. It thereby attempts to tackle the problem of the limited amount of actual recorded images, as image generation using real references can greatly enhance the number of images suitable for research. The general methods of deep learning are described, as well as neural networks including GANs (Generative Adversarial Networks), a family of neural networks used to generate high-quality images using reference, which were used to implement the method of image generation.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:500659
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-14 20:28:33