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DETEKCIJA ZAGAĐENJA ZRAKA KORIŠTENJEM MATLAB-PYTHON PROGRAMSKOG JEZIKA ; DETECTION OF THE AIR POLLUTION USING MATLAB-PYTHON PROGRAMMING LANGUAGES

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Bibliographic Details
Title: DETEKCIJA ZAGAĐENJA ZRAKA KORIŠTENJEM MATLAB-PYTHON PROGRAMSKOG JEZIKA ; DETECTION OF THE AIR POLLUTION USING MATLAB-PYTHON PROGRAMMING LANGUAGES
Authors: Tripović, Marijana
Contributors: Džaja, Barbara
Publisher Information: Sveučilište u Splitu. Sveučilišni odjel za stručne studije.
University of Split. University Department of Professional Studies.
Publication Year: 2021
Collection: The University of Split Repository
Subject Terms: Kategorizacija onečišćujućih čestica, detekcija ispušnog plina iz tvornice i smanjenje šumske površine, Categorization of polluting particles, detection of exhaust gas from the factory and reduction of forest area, TEHNIČKE ZNANOSTI. Elektrotehnika, TECHNICAL SCIENCES. Electrical Engineering
Description: U ovom završnom radu je obrađena tema detekcije zagađenja zraka, digitalnom obradom korištenjem programskim skriptama u MATLAB i Python programskom jeziku. Programske skripte kategoriziraju onečišćujuće čestice, iz mjerne postaje u Splitu i korištene su za statističku usporedbu izmjerenih podataka tijekom 2020. i 2021. godina. Detekcija zagađenja zraka je postignuta i digitalnom obradom slike. Na slici je detektiran ispušni plin emitiran iz tvornice, a zagađujući plin je izdvojen i obilježen kao detekcija zagađenja zraka. Primijenjena je i analiza slike pomoću histograma u MATLAB-u, kako bi se naglasilo smanjenje šumske površine u park-šumi Marjan. ; The topic of this final paper is detection of the air pollution using digital processing with the scripts written in MATLAB and Python programming languages. The scripts are used for categorization of polluting particles from the measuring station of Split and statistical analyses of data over the years of 2020. and 2021. Digital image processing has been applied for detection of air pollution. On the image, the emitted gas detection from the factory was detected and the polluting gas was extracted and marked as air pollution detection. Image analysis using histograms in MATLAB has been applied to emphasize the reduction of forest area in the Marjan park-forest.
Document Type: master thesis
File Description: application/pdf
Language: Croatian
Relation: https://repozitorij.svkst.unist.hr/islandora/object/ossst:1479; https://urn.nsk.hr/urn:nbn:hr:228:975718; https://repozitorij.svkst.unist.hr/islandora/object/ossst:1479/datastream/PDF
Availability: https://repozitorij.svkst.unist.hr/islandora/object/ossst:1479
https://urn.nsk.hr/urn:nbn:hr:228:975718
https://repozitorij.svkst.unist.hr/islandora/object/ossst:1479/datastream/PDF
Rights: http://rightsstatements.org/vocab/InC/1.0/ ; info:eu-repo/semantics/openAccess
Accession Number: edsbas.8E68D4D2
Database: BASE
Description
Abstract:U ovom završnom radu je obrađena tema detekcije zagađenja zraka, digitalnom obradom korištenjem programskim skriptama u MATLAB i Python programskom jeziku. Programske skripte kategoriziraju onečišćujuće čestice, iz mjerne postaje u Splitu i korištene su za statističku usporedbu izmjerenih podataka tijekom 2020. i 2021. godina. Detekcija zagađenja zraka je postignuta i digitalnom obradom slike. Na slici je detektiran ispušni plin emitiran iz tvornice, a zagađujući plin je izdvojen i obilježen kao detekcija zagađenja zraka. Primijenjena je i analiza slike pomoću histograma u MATLAB-u, kako bi se naglasilo smanjenje šumske površine u park-šumi Marjan. ; The topic of this final paper is detection of the air pollution using digital processing with the scripts written in MATLAB and Python programming languages. The scripts are used for categorization of polluting particles from the measuring station of Split and statistical analyses of data over the years of 2020. and 2021. Digital image processing has been applied for detection of air pollution. On the image, the emitted gas detection from the factory was detected and the polluting gas was extracted and marked as air pollution detection. Image analysis using histograms in MATLAB has been applied to emphasize the reduction of forest area in the Marjan park-forest.