Analiza prometnih anomalija i kvarova u optičkim mrežama

undergraduate thesis

• Title (english): Analysis of Traffic Anomalies and Failures in Optical Networks
• Author: Antonija Marković
• Mentor: Ivan Grgurević (mentor)
• Committee member: Zvonko Kavran (predsjednik povjerenstva)
• Committee member: Marko Periša (član povjerenstva)
• Committee member: Dragan Peraković (član povjerenstva)
• Granter: University of Zagreb; Faculty of Transport and Traffic Sciences; (Division of Transport); (Department of Information and Communications Traffic); Zagreb
• Defense date and country: 2024-09-18, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Traffic and Transport Technology; Postal and Telecommunications Traffic

Abstract

U ovom završnom radu dan je uvid u optičke mreže i njihov razvoj, proučavaju se i
grupiraju prometne anomalije i kvarovi u optičkim mrežama, te su opisane metode umjetne
inteligencije (AI) s primjenom u optičkim mrežama. Optička mreža je komunikacijska mreža koja
koristi optička vlakna za prijenos podataka. U radu su analizirane prometne anomalije, njihove
posljedice na optičke mreže te je spomenuta važnost njihove detekcije. Također, analizirani su i
opisani kvarovi i njihov utjecaj te je spomenuta važnost upravljanja kvarovima optičkih mreža.
Opisane su pojedine metode umjetne inteligencije i njihova primjena u optičkim mrežama, poput
strojnog učenja, dubokog učenja i potpornih vektorskih strojeva, te je dan osvrt na budući razvoj
AI u optičkim mrežama.

Abstract (english)

In this final thesis, an insight into optical networks and their development is given, traffic
anomalies and failures in optical networks are studied and grouped, and artificial intelligence (AI)
methods with application in optical networks are described. An optical network is a communication
network that uses optic fiber for data transmission. The thesis analyzed traffic anomalies, their
cosequences on optical networks, and mentioned the importance of their detection. Failures are
also analyzed and described, along with their impact, highlighting the importance of failure
management in optical networks. Certain AI methods and their applications in optical networks are
described, such as machine learning, deep learning and support vector machines, and an overview
on the future development of AI in optical networks is given.

• Keywords: optička mreža; prometne anomalije; kvarovi; umjetna inteligencija (AI)
• Keywords (english): optical network; traffic anomalies; failures; artificial intelligence (AI)
• Language: croatian
• URN:NBN: urn:nbn:hr:119:596808
• Study programme: Title: 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: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka prometa (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka prometa)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2024-11-22 13:19:19