Using Neural Networks for Determining Velocity Vectors of Air Flow Visualized by Helium Bubbles

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F14%3A00225474" target="_blank" >RIV/62156489:43110/14:00225474 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216305:26210/14:PU110975

Výsledek na webu

<a href="http://dx.doi.org/10.11118/actaun201462040757" target="_blank" >http://dx.doi.org/10.11118/actaun201462040757</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.11118/actaun201462040757" target="_blank" >10.11118/actaun201462040757</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Using Neural Networks for Determining Velocity Vectors of Air Flow Visualized by Helium Bubbles

Popis výsledku v původním jazyce

One of the important characteristics of air flow is the velocity of flow. To determine the speed, in addition to other methods, we also use the helium bubbles seeding visualization method, when bubbles are injected into the air stream so that the air flow is obvious to the eye. If a video of such flow is taken, it is possible to determine velocity vectors in a pair of consecutive frames of this video footage, derived from the change in position of individual bubbles. This article describes a method of monitoring the bubbles in consecutive video frames. During this process, helium bubbles are detected in the first image of the pair, either by a firmly defined procedure, or with the use of a neural network. For detected bubbles, the velocity vectors aredetermined according to the way in which they move, therefore, according to their location in the following frame. Another neural network then determines the velocity vector at any point of image, which will be implemented in the construc

Název v anglickém jazyce

Using Neural Networks for Determining Velocity Vectors of Air Flow Visualized by Helium Bubbles

Popis výsledku anglicky

One of the important characteristics of air flow is the velocity of flow. To determine the speed, in addition to other methods, we also use the helium bubbles seeding visualization method, when bubbles are injected into the air stream so that the air flow is obvious to the eye. If a video of such flow is taken, it is possible to determine velocity vectors in a pair of consecutive frames of this video footage, derived from the change in position of individual bubbles. This article describes a method of monitoring the bubbles in consecutive video frames. During this process, helium bubbles are detected in the first image of the pair, either by a firmly defined procedure, or with the use of a neural network. For detected bubbles, the velocity vectors aredetermined according to the way in which they move, therefore, according to their location in the following frame. Another neural network then determines the velocity vector at any point of image, which will be implemented in the construc

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis

ISSN

1211-8516

e-ISSN

—

Svazek periodika

62

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

12

Strana od-do

757-768

Kód UT WoS článku

—

EID výsledku v databázi Scopus

—