Language: | Slovenian |
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Year of publishing: | 2019 |
Typology: | 2.11 - Undergraduate Thesis |
Organization: | UL FRI - Faculty of Computer and Information Science |
Publisher: | [J. Jenko] |
UDC: | 004.5:629.33(043.2) |
COBISS: | 1538337731 |
Views: | 1611 |
Downloads: | 119 |
Average score: | 0 (0 votes) |
Metadata: |
Secondary language: | English |
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Secondary title: | Fault diagnostics in vehicle ecosystem |
Secondary abstract: | We developed an online vehicle diagnostics application under the mentorship of Kivi Com d.o.o. The application uses diagnostic codes obtained through the vehicles' onboard diagnostic system. Diagnostic codes are combined and ranked based on their accuracy with the help of a knowledge management system. Web application was written in C# programming language using Microsoft's .Net framework. By developing this application we tested the usability of a system for vehicle diagnostics and helped the company Kivi Com d.o.o. with a decision regarding further development of such a system. |
Secondary keywords: | vehicle;fault;diagnostic;computer science;computer and information science;diploma; |
Type (COBISS): | Bachelor thesis/paper |
Study programme: | 1000470 |
Embargo end date (OpenAIRE): | 1970-01-01 |
Thesis comment: | Univ. v Ljubljani, Fak. za računalništvo in informatiko |
Pages: | 36 str. |
ID: | 11220343 |