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master's thesis
Integracija heterogenih sustava korištenjem tehnologije Microsoft Azure Logic Apps
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. urn:nbn:hr:168:965322
Šeškar, Andrej
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Šeškar, A. (2018). Integracija heterogenih sustava korištenjem tehnologije Microsoft Azure Logic Apps (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:965322

Šeškar, Andrej. "Integracija heterogenih sustava korištenjem tehnologije Microsoft Azure Logic Apps." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:965322

Šeškar, Andrej. "Integracija heterogenih sustava korištenjem tehnologije Microsoft Azure Logic Apps." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:965322

Šeškar, A. (2018). 'Integracija heterogenih sustava korištenjem tehnologije Microsoft Azure Logic Apps', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:965322

Šeškar A. Integracija heterogenih sustava korištenjem tehnologije Microsoft Azure Logic Apps [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2024 July 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:965322

A. Šeškar, "Integracija heterogenih sustava korištenjem tehnologije Microsoft Azure Logic Apps", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:965322

Metadata
TitleIntegracija heterogenih sustava korištenjem tehnologije Microsoft Azure Logic Apps
Title (english)System Integration of Heterogeneous Systems Using Microsoft Azure Logic Apps
AuthorAndrej Šeškar
MentorBoris Milašinović (mentor)
Committee memberBoris Milašinović (predsjednik povjerenstva)
Committee memberIgor Mekterović (član povjerenstva)
Committee memberLjiljana Brkić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-02-20, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu je opisana struktura Azure Logic App aplikacije i dan sažeti pregled njihovih najbitnijih funkcija i svojstava. Razvijena su dva programska rješenja. Kao primjer korištenja tehnologije Azure Logic Apps razvijena je jednostavna aplikacija na kojoj su demonstrirane mogućnosti korištene tehnologije, a potom je kao napredni primjer integracije računalnih servisa u oblaku razvijena aplikacija koja koristi usluge računalnog vida za kategorizaciju slika. Za izradu naprednog primjera je obavljen kratki pregled većine konkurentnih usluga za računalni vid koje su testirane na ispitnom skupu slika vozila u urbanom okruženju. Rad opisuje razvijenu aplikaciju za kategorizaciju slika i istražuje mogućnosti zamjene komponenti, npr. zamjenom mehanizma za pokretanje ili web servisa za kognitivno računarstvo. Opisan je izračun cijene održavanja aplikacije temeljen na cijeni izvršavanja nad odabranim skupom uzoraka. Rad zaključuje opisom nedostataka programskog rješenja i mogućnostima za daljnji razvoj.
Abstract (english)
The paper describes the structure of an Azure Logic App and gives a brief overview of their most notable features. Two different software solutions have been developed. For an overview of most of the Logic App platforms' features, a simple application was made as a practical example of their use. As an advanced example of system integration, an application for the categorization of images through the use of computer vision services has been developed. A brief overview of most relevant computer vision services was given based on the results of analysis of a sample set of photos of vehicles in urban environments. The paper describes the developed solution for image categorization and discusses possibilities of replacing any component with another one, i.e. replacing a workflow trigger or the cognitive computing service. An approximate maintenance price calculation is done by estimating number of executions for each Logic Apps function based on a sample set of photos. The paper concludes with solution drawbacks and future work possibilities.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:965322
Study programmeTitle: Computing
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 conditionsClosed access
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Created on2019-03-14 01:13:47