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master's thesis
Analiza metoda predviđanja prometa u optičkoj mreži
Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences, 2024. urn:nbn:hr:119:792460
Brdar, Antonio
University of Zagreb
Faculty of Transport and Traffic Sciences
Division of Transport
Department of Information and Communications Traffic

Institutional repository: Faculty of Transport and Traffic Sciences

Cite this document

Brdar, A. (2024). Analiza metoda predviđanja prometa u optičkoj mreži (Master's thesis). Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:119:792460

Brdar, Antonio. "Analiza metoda predviđanja prometa u optičkoj mreži." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2024. https://urn.nsk.hr/urn:nbn:hr:119:792460

Brdar, Antonio. "Analiza metoda predviđanja prometa u optičkoj mreži." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2024. https://urn.nsk.hr/urn:nbn:hr:119:792460

Brdar, A. (2024). 'Analiza metoda predviđanja prometa u optičkoj mreži', Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, accessed 04 November 2024, https://urn.nsk.hr/urn:nbn:hr:119:792460

Brdar A. Analiza metoda predviđanja prometa u optičkoj mreži [Master's thesis]. Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences; 2024 [cited 2024 November 04] Available at: https://urn.nsk.hr/urn:nbn:hr:119:792460

A. Brdar, "Analiza metoda predviđanja prometa u optičkoj mreži", Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:119:792460

Metadata
TitleAnaliza metoda predviđanja prometa u optičkoj mreži
Title (english)Analysis of Traffic Forecasting Methods in the Optical Network
AuthorAntonio Brdar
MentorIvan Grgurević (mentor)
Committee memberMarko Periša (predsjednik povjerenstva)
Committee memberPetra Teskera (član povjerenstva)
Committee memberIvan Cvitić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Transport and Traffic Sciences
(Division of Transport)
(Department of Information and Communications Traffic)
Zagreb
Defense date and country2024-07-02, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Postal and Telecommunications Traffic
Abstract
Optička mreža je podatkovna komunikacijska mreža koja koristi tehnologiju svjetlovodnog vlakna za prijenos podataka, a karakterizira ju visoka propusnost i velika brzina prijenosa podataka. U ovom diplomskom radu opisane su neke od mogućih izvedbi, arhitekture tih izvedbi te neke od tehnologija koje se koriste u optičkim mrežama. Također su opisani i razni prometni parametri koji postoje u optičkim mrežama, neki od njih su specifični za većinu komunikacijskih mreža, dok su neki specifični isključivo za optičke mreže. Nadalje, prikazane su i objašnjene tehnike praćenja i prikupljanja prometnih podataka u optičkim mrežama. Uz navedene prikazane su i analizirane relevantne metode i tehnike strojnog učenja u optičkim mrežama, a koje mogu poslužiti za predviđanje varijabilnosti odabranih prometnih parametra. U diplomskom radu je također objedinjena i prikazana praktična primjena odabranih metoda strojnog učenja kroz relevantna dostupna istraživanja.
Abstract (english)
An optical network is a data communication network that uses fiber optic technology for data transmission, characterized by high bandwidth and high data transfer speeds. This thesis describes some of the possible implementations, architectures of these implementations, and some of the technologies used in optical networks. Various traffic parameters existing in optical networks are also described, some of which are common to most communication networks, while others are specific to optical networks. Furthermore, techniques for monitoring and collecting traffic data in optical networks are presented and explained. In addition, relevant machine learning methods and techniques in optical networks that can be used to predict the variability of selected traffic parameters are also analyzed. The thesis also consolidates and presents the practical application of selected machine learning methods through relevant available research.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:119:792460
Study programmeTitle: Transport; specializations in: Road Transport, Rail Transport, Water Transport, Air Transport, Postal Transport, Information and Communication Traffic, Urban Transport
Course: Road Transport
Study programme type: university
Study level: graduate
Academic / professional title: sveučilišni/a magistar/magistra inženjer/inženjerka prometa (sveučilišni/a magistar/magistra inženjer/inženjerka prometa)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-07-12 13:20:24