diplomsko delo
Matej Jakop (Author), Peter Peer (Mentor)

Abstract

Sistem za avtomatizacijo upravljanja oglasnega prostora

Keywords

Android;Django;splet;poslovna aplikacija;avtomatika;TSP;optimizacija s kolonijami mravelj;genetski algoritem;računalništvo;univerzitetni študij;diplomske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UL FRI - Faculty of Computer and Information Science
Publisher: [M. Jakop]
UDC: 004(043.2)
COBISS: 9391700 Link will open in a new window
Views: 50
Downloads: 13
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: English
Secondary title: System for automation of billboard management
Secondary abstract: Modern world bombs us with advertisements on every step. At home in front of a TV, while browsing on the internet or during a walk around a city. Advertisements are everywhere. Every day new ones come in different shapes and sizes. They are more and more daring and convincing. Where do they come from? Who puts them there? How do they replace old with new ones? Can this process be supported and automated by a computer? In this diploma thesis we tried to answer to all this questions. We developed software that uses many algorithms to support the business of billboard management. We used geometric algorithm to automatically assign work order to the right person, developed genetic algorithm that can automatically assign advertisement to the best billboard and we made an adjustment to the travel salesman algorithm to run on mobile phone. With smart usage of algorithms we succeeded to develop a system that can be used in solving wide range of problems, not just in advertisement.
Secondary keywords: Android;Django;web;business application;automatic;TSP;ant colony optimization;genetic algorithm;computer science;diploma;
File type: application/pdf
Type (COBISS): Undergraduate thesis
Thesis comment: Univ. v Ljubljani, Fak. za računalništvo in informatiko
Pages: 90 str.
ID: 24142488