prikaz prve stranice dokumenta Alat za klasifikaciju parametara modela sustava
  Download
PDF 1.2 MB
master's thesis
Alat za klasifikaciju parametara modela sustava
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

Cite this document

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

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

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

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 09 May 2024, https://urn.nsk.hr/urn:nbn:hr:200:445016

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 2024 May 09] Available at: https://urn.nsk.hr/urn:nbn:hr:200:445016

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

Please login to the repository to save this object to your list.
Metadata
TitleAlat za klasifikaciju parametara modela sustava
Title (english)A tool for classification of system model parameters
AuthorNikola Hlavsa
MentorZdravko Krpić (mentor)
MentorIvan Vidović (sumentor)
Committee memberIvan Vidović (predsjednik povjerenstva)
Committee memberMario Vranješ (član povjerenstva)
Committee memberMarijan Herceg (član povjerenstva)
GranterJosip 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 country2020-12-23, 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)
Languagecroatian
URN:NBNurn:nbn:hr:200:445016
Study programmeTitle: 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 resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2021-01-22 10:30:42