Use of unmanned aerial vehicles for monitoring of air pollution generated by stationary sources
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F17%3A39910625" target="_blank" >RIV/00216275:25410/17:39910625 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Use of unmanned aerial vehicles for monitoring of air pollution generated by stationary sources
Original language description
In the submitted paper, we focused on the use of unmanned aerial vehicles for the monitoring of air pollution by stationary sources. A quadrocope with digital image capture was used for experiments. The data thus obtained was preprocessed and the Ringelmann scale method for determining the darkness of the smoke plume was applied. This was used to decompose the acquired digital images onto their RGB components. The values obtained are relevant and can be used to determine the rate of air pollution by a stationary source. The advantage of this proposed procedure is to reduce the influence of the human factor on determining the darkness of the smoke and to eliminate the need for direct control of the stationary source of air pollution
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the International Conference on Computer-Human Interaction Research and Applications CHIRA 2017
ISBN
978-989-758-267-7
ISSN
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e-ISSN
neuvedeno
Number of pages
6
Pages from-to
150-155
Publisher name
SciTePress - Science and Technology Publications
Place of publication
Porto
Event location
Funchal
Event date
Oct 31, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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