About: Estimations of Shape and Direction of an Air Jet Using Neural Networks.

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Analysis of airflow properties is an important step during validation of functionality of air distribution systems in a closed environment such as vents in car cabins. Optical visualization methods, based on imaging of the airflow visualization using smoke or fog, are often applied in such cases. The aim of this work is in an automation of processing of such images captured during visualization. It can be accomplished, besides special mathematical methods, using neural networks. We have employed a multilayer perceptron network for a detection of fog-containing areas in airflow images. Network learning was used and documented here for a recognition of the fog presence in individual pixels of the image based on colour intensities of the pixel neighbourhood. The fog detection was used for estimation of the jet shape. Hopfield network, which allows to relate the jet with one of the four basic flow directions, was applied consequently. The information about jet direction is important for further image proc Analysis of airflow properties is an important step during validation of functionality of air distribution systems in a closed environment such as vents in car cabins. Optical visualization methods, based on imaging of the airflow visualization using smoke or fog, are often applied in such cases. The aim of this work is in an automation of processing of such images captured during visualization. It can be accomplished, besides special mathematical methods, using neural networks. We have employed a multilayer perceptron network for a detection of fog-containing areas in airflow images. Network learning was used and documented here for a recognition of the fog presence in individual pixels of the image based on colour intensities of the pixel neighbourhood. The fog detection was used for estimation of the jet shape. Hopfield network, which allows to relate the jet with one of the four basic flow directions, was applied consequently. The information about jet direction is important for further image proc (en)
Title	Estimations of Shape and Direction of an Air Jet Using Neural Networks. Estimations of Shape and Direction of an Air Jet Using Neural Networks. (en)
skos:prefLabel	Estimations of Shape and Direction of an Air Jet Using Neural Networks. Estimations of Shape and Direction of an Air Jet Using Neural Networks. (en)
skos:notation	RIV/00216305:26210/13:PU105017!RIV14-TA0-26210___
http://linked.open...avai/predkladatel	Fakulta strojního inženýrství
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(TE01020020), S
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Šťastný, Jiří Jedelský, Jan Richter, Jan
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta strojního inženýrství
http://linked.open...dnocenehoVysledku	73309
http://linked.open...ai/riv/idVysledku	RIV/00216305:26210/13:PU105017
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Neural network, perceptron, Hopfield network, fog detection, direction detection (en)
http://linked.open.../riv/klicoveSlovo	Hopfield network direction detection fog detection Neural network perceptron
http://linked.open...ontrolniKodProRIV	[4D83580E1980]
http://linked.open...v/mistoKonaniAkce	Brno University of Technology
http://linked.open...i/riv/mistoVydani	Brno
http://linked.open...i/riv/nazevZdroje	MENDEL 2013
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Josef Bozek Competence Centre for Automotive Industry
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Jedelský, Jan Šťastný, Jiří Richter, Jan
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-06-26 (xsd:date)
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Neuveden
https://schema.org/isbn	978-80-214-4755-4
http://localhost/t...ganizacniJednotka	26210

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