prikaz prve stranice dokumenta Generiranje stvarnovremenskih tokova senzorskih podataka parsiranjem izvora na webu
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undergraduate thesis
Generiranje stvarnovremenskih tokova senzorskih podataka parsiranjem izvora na webu
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:465938
Kedmenec, Petar Gabrijel
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Kedmenec, P. G. (2021). Generiranje stvarnovremenskih tokova senzorskih podataka parsiranjem izvora na webu (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:465938

Kedmenec, Petar Gabrijel. "Generiranje stvarnovremenskih tokova senzorskih podataka parsiranjem izvora na webu." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:465938

Kedmenec, Petar Gabrijel. "Generiranje stvarnovremenskih tokova senzorskih podataka parsiranjem izvora na webu." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:465938

Kedmenec, P. G. (2021). 'Generiranje stvarnovremenskih tokova senzorskih podataka parsiranjem izvora na webu', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:465938

Kedmenec PG. Generiranje stvarnovremenskih tokova senzorskih podataka parsiranjem izvora na webu [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 December 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:465938

P. G. Kedmenec, "Generiranje stvarnovremenskih tokova senzorskih podataka parsiranjem izvora na webu", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:465938

Metadata
TitleGeneriranje stvarnovremenskih tokova senzorskih podataka parsiranjem izvora na webu
Title (english)Generating Real-Time Sensor Data Streams by Parsing Sources on the Web
AuthorPetar Gabrijel Kedmenec
MentorKrešimir Pripužić (mentor)
Committee memberKrešimir Pripužić (član povjerenstva)
Committee memberDamjan Katušić (član povjerenstva)
Committee memberJosip Marić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-09, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U slučaju nedostatka Web sučelja koje bi davalo informacije o senzorskim očitanjima, jedini način da dođemo do tih očitanja automatski je parsiranjem dokumenata u HTML formatu koji sadrže listu tih očitanja. Stoga je u ovom radu je razvijena aplikacija za parsiranje senzorskih podataka s Web-a korištenjem paketa HTTP Client, biblioteke Java Topology Suite te biblioteke jsoup. Unutar postavki aplikacije se može birati vremenski razmak između dva dohvaćanja i parsiranja HTML dokumenta, imena Kafka tema na koje se šalju pojedini podaci te postaje čije podatke ćemo slati. Aplikacija svoju funkcionalnost ostvaruje stvaranjem 3 dretve koje koristeći isti objekt Kafka klijenta na Apache Kafka grozd šalju zapise s podacima koje su dobile parsiranjem datoteke u HTML formatu.
Abstract (english)
In the case of a lack of a Web API that would give us information about the readings of a certain set of sensors, the only way to automatically obtain those reading is by parsing an HTML document that contains a list of those readings. For this reason, in this thesis, an aplication for parsing sensory information from the Web was created, using the HTTP Client package, the Java Topology Suite library, and the jsoup library. Within the aplication settings one can edit the period of time between two seperate fetchings and parsings of an HTML document, the names of Kafka topics on which certain sets of data are sent, as well as choosing which station's data we want to send. The application achieves its funcionality by creating 3 threads, with each of the three sending records they got from parsing the HTML document to the Apache Kafka cluster by using a single instance of a Kafka client object.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:465938
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 on2023-01-14 20:45:38