Alat za klasifikaciju parametara modela sustava

Hlavsa, Nikola

master's thesis

Alat za klasifikaciju parametara modela sustava

Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2020. urn:nbn:hr:200:445016

Hlavsa, Nikola

Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Programming Languages and Systems

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

APA 6th Edition

Hlavsa, N. (2020). Alat za klasifikaciju parametara modela sustava (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:445016

MLA 8th Edition

Hlavsa, Nikola. "Alat za klasifikaciju parametara modela sustava." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2020. https://urn.nsk.hr/urn:nbn:hr:200:445016

Chicago 17th Edition

Harvard

Hlavsa, N. (2020). 'Alat za klasifikaciju parametara modela sustava', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 13 January 2025, https://urn.nsk.hr/urn:nbn:hr:200:445016

Vancouver

Hlavsa N. Alat za klasifikaciju parametara modela sustava [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2020 [cited 2025 January 13] Available at: https://urn.nsk.hr/urn:nbn:hr:200:445016

IEEE

N. Hlavsa, "Alat za klasifikaciju parametara modela sustava", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:200:445016

Cite this item: https://urn.nsk.hr/urn:nbn:hr:200:445016

Metadata

Title	Alat za klasifikaciju parametara modela sustava
Title (english)	A tool for classification of system model parameters
Author	Nikola Hlavsa
Mentor	Zdravko Krpić (mentor)
Mentor	Ivan Vidović (sumentor)
Committee member	Ivan Vidović (predsjednik povjerenstva)
Committee member	Mario Vranješ (član povjerenstva)
Committee member	Marijan Herceg (član povjerenstva)
Granter	Josip Juraj Strossmayer University of Osijek Faculty of Electrical Engineering, Computer Science and Information Technology Osijek (Department of Software Engineering) (Chair of Programming Languages and Systems) Osijek
Defense date and country	2020-12-23, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing Data Processing
Abstract	Tehnološkim napretkom automobilske industrije elektronika u automobilu postaje sve značajnija, a time se povećava i broj elektroničkih upravljačkih jedinica. A2L datoteke sadrže relevantne informacije o objektima ECU-a kao što su karakteristike i mjerne varijable. U sklopu ovog diplomskog rada je bilo potrebno izraditi XCP generator u C++-u baziran na postojećem rješenju u Pythonu koji generira te datoteke. Generator je realiziran u 3 koraka: prvo su izrađeni SQL baza podataka i model parser, zatim je zamijenjen pickle serijalizirani model (model.zip) sa spomenutom SQL bazom podataka, te je izrađen XCP generator u C++ programskom jeziku. Nakon izrade novog rješenja generirane su A2L datoteke te su pokrenute na MotionWise ploči i komunikacija je uspješno uspostavljenja.
Abstract (english)	With the technological progress of the automotive industry, electronics in the car is becoming increasingly important, and thus the number of electronic control units is increasing. A2L files contain relevant information about ECU objects such as characteristics and measurement variables. As part of this thesis, it was necessary to create an XCP generator in C++ based on the existing solution in Python that generates these files. The generator was realized in 3 steps: first the SQL database and the parser model were created, then the pickle serialized model (model.zip) was replaced with the mentioned SQL database, and finally the XCP generator in the C++ programming language was created. After creating a new solution, A2L files were generated and launched on the MotionWise board and the communication was successful.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:200:445016
Study programme	Title: Graduate University Study Programme in Computer Engineering Study programme type: university Study level: graduate Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Created on	2021-01-22 10:30:42

Search form