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undergraduate thesis
Mobilna aplikacija za generiranje mnemonika u obliku rečenica
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:421027
Zekan, Luka
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Zekan, L. (2023). Mobilna aplikacija za generiranje mnemonika u obliku rečenica (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:421027

Zekan, Luka. "Mobilna aplikacija za generiranje mnemonika u obliku rečenica." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:421027

Zekan, Luka. "Mobilna aplikacija za generiranje mnemonika u obliku rečenica." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:421027

Zekan, L. (2023). 'Mobilna aplikacija za generiranje mnemonika u obliku rečenica', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:421027

Zekan L. Mobilna aplikacija za generiranje mnemonika u obliku rečenica [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 December 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:421027

L. Zekan, "Mobilna aplikacija za generiranje mnemonika u obliku rečenica", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:421027

Metadata
TitleMobilna aplikacija za generiranje mnemonika u obliku rečenica
Title (english)A Mobile Application for Generating Acrostic Mnemonics
AuthorLuka Zekan
MentorSlaven Zakošek (mentor)
Committee memberSlaven Zakošek (predsjednik povjerenstva)
Committee memberGordan Gledec (član povjerenstva)
Committee memberLjiljana Brkić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-08-31, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom završnom radu sam predstavio mobilnu aplikaciju za generiranje mnemonika u obliku hrvatskih rečenica. Cilj rada je bio dati doprinos području kognitivne znanosti i razvoja mobilnih aplikacija pružajući novi alat za poboljšanje pamćenja i učenja. Rad opisuje arhitekturu aplikacije koja je implementirana koristeći Spring Boot tehnologiju za razvoj poslužiteljskog servisa, programski jezik Java za korisničku stranu i kombinaciju MySQL i SQLite baza za pohranu podataka. Detaljno je razrađen proces obrade podataka, komunikacija s bazom i logika generiranja mnemonika. Kroz primjere je demonstrirana funkcionalnost aplikacije i pokazano je kako korisnici mogu unijeti listu pojmova kako bi dobili rečenicu koja odgovara njihovim parametrima. Također je razmotrena i mogućnosti daljnjeg unaprjeđenja aplikacije, uključujući razvoj modela koji bi učio i implementirao pravila hrvatskog jezika za generiranje smislenijih i točnijih rečenica. Kroz ove rezultate i mogućnosti daljnjeg razvoja, nadam se da će ova mobilna aplikacija pružiti korisnicima novi način poboljšanja njihovog pamćenja te potaknuti daljnja istraživanja i razvoj u području kognitivne znanosti.
Abstract (english)
In this final thesis, I presented a mobile application for generating mnemonics in the form of Croatian sentences. The goal of the study was to contribute to the field of cognitive science and mobile application development by providing a new tool for enhancing memory and learning. The thesis describes the architecture of the application, which was implemented using Spring Boot technology for the server-side service, Java programming language for the user interface, and a combination of MySQL and SQLite databases for data storage. The data processing, database communication, and logic of mnemonic generation were elaborated in detail. Through examples, the functionality of the application was demonstrated, showing how users can input a list of terms to receive a sentence that matches their parameters. Potential future improvements were also discussed, including the development of a model that learns and implements the rules of the Croatian language to generate more meaningful and accurate sentences. Through these findings and possibilities for further development, it is hoped that this mobile application will provide users with a new way to enhance their memory and learning, while also inspiring further research and advancements in the field of cognitive science.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:421027
Study programmeTitle: 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 resourceText
File originBorn digital
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Created on2023-10-11 11:03:13