prikaz prve stranice dokumenta Analiza slika raspršenja goriva
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undergraduate thesis
Analiza slika raspršenja goriva
2021. urn:nbn:hr:168:450874
Cvitanović, Petar
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Cvitanović, P. (2021). Analiza slika raspršenja goriva (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:450874

Cvitanović, Petar. "Analiza slika raspršenja goriva." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:450874

Cvitanović, Petar. "Analiza slika raspršenja goriva." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:450874

Cvitanović, P. (2021). 'Analiza slika raspršenja goriva', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 September 2024, https://urn.nsk.hr/urn:nbn:hr:168:450874

Cvitanović P. Analiza slika raspršenja goriva [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 September 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:450874

P. Cvitanović, "Analiza 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:168:450874

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Metadata
TitleAnaliza slika raspršenja goriva
Title (english)Fuel Spray Image Analysis
AuthorPetar Cvitanović
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 country2021-07-02, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Motorna vozila koja za svoje kretanje koriste motore s unutarnjim izgaranjem u cilindre motora ubrizgavaju gorivo u obliku spreja. Kako bi se ubrizgivanje spreja moglo optimizirati, uslikane su slike spreja goriva koji ulazi u cilindre. Slike su segementirane metodama dubokog ucenja i analizirane. Analiza uklju ˇ cuje odre ˇ divanje duljine penetracije spreja i kut ¯ raspršenja. Kako bi se slike segmentiranle, korištena je konvolucijska neuronska mreža koja se sastoji od konvolucijskih slojeva. Mreža je po arhitekturi U-Net i sastoji se od dva dijela cija je uloga opisana u radu.
Abstract (english)
Motor vehicles that use internal combustion engines inject a spray of fuel into the cylinders of their engine. In order to optimize the spray injection, images of the fuel spray entering the cylinders were taken. Images are segmented using the deep learning methods and analyzed. The analysis includes determining the spray penetration length and spray angle. In order for images to be segmented, a convolutional neural network consisting of convolutional layers is used. The network is based on the U-Net architecture and consists of two parts whose role is described in the paper.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:450874
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 20:12:46