Web-aplikacija za vizualizaciju kontekstno obogaćenog skupa podataka iz vozila

undergraduate thesis

• Title (english): Web-Application for the Visualization of a Contextually Enriched Automotive Data Set
• Author: Mattia De Filippo
• Mentor: Jurica Babić (mentor)
• Committee member: Jurica Babić (predsjednik povjerenstva)
• Committee member: Hrvoje Vdović (član povjerenstva)
• Committee member: Ivana Slošić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2021-07-01, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract

U radu su prikazani podaci za svakog od 9 vozača koji su sudjelovali u znanstvenom radu Hrvoja Vdovića, Jurice Babića i Vedrana Podobnika. Ukupno je odvoženo 212 vožnji, ukupnog trajanja većeg od 94 sata i prijeđenih oko 5200 km. Cilj je bio spomenute podatke modelirati i prikazati različitim vizualizacijskim tehnikama kako bi korisnik mogao doći do nekih novih saznanja o načinu vožnje. Na početku su opisani podaci koji će se vizualizirati (opisane su kolekcije i dokumenti unutar kolekcija, distribucija određenih varijabli i sl.), zatim je predstavljen model web aplikacije u kojem se saznaje arhitektura na apstraktnoj razni, opisani su potencijalni korisnici te koje funkcijske i nefunkcijske zahtjeve aplikacija mora zadovoljavati. Nakon toga, opisano je programsko rješenje za prethodno prikazan model te su funkcionalnosti aplikacije prikazane u usporedbi dviju vožnje.

Abstract (english)

The paper presents data for each of the 9 drivers who participated in the scientific paper by Hrvoje Vdović, Jurica Babić and Vedran Podobnik. A total of 212 rides were driven, with a total duration of more than 94 hours and a distance of about 5,200 km. The goal was to model the mentioned data and present them with different visualization techniques so that the user could gain some new knowledge about the car driving patterns. The dataset to be visualized is described at the beginning (descriptions of collections and documents within collections and distribution of certain variables are shown), then presented a web application model that shows the architecture at a more abstract level, describes potential users and what functional requirements applications must satisfy. After that, the software solution for the previously shown model is described and the functionalities of the application are shown in a comparison of the two rides.

• Keywords: auto; podaci; vizualizacija; Python; Streamlit; MongoDB
• Keywords (english): car; data; visualization; Python; Streamlit; MongoDB
• Language: croatian
• URN:NBN: urn:nbn:hr:168:256530
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-13 14:47:54