This HTML5 document contains 44 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
n18http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n15http://localhost/temp/predkladatel/
n10http://purl.org/net/nknouf/ns/bibtex#
n17http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n19http://linked.opendata.cz/resource/domain/vavai/subjekt/
n7http://linked.opendata.cz/ontology/domain/vavai/
n16https://schema.org/
n6http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F61988987%3A17310%2F13%3AA1401900%21RIV14-MSM-17310___/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n14http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n12http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n21http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n5http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n20http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n11http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n13http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F61988987%3A17310%2F13%3AA1401900%21RIV14-MSM-17310___
rdf:type
n7:Vysledek skos:Concept
dcterms:description
The aim of this article is to outline possibilities of sound and its physical properties during shooting of moving objects. Attention was devoted to the specific location of a fixed point in the space and time. We present two proposed methods that are based on neural networks. We also proposed appropriate topologies of the systems that depend on the required accuracy, acoustic properties and selected sound technologies. At first, we identified a distance between an active transmitter and a receiver on the basis of sound pulses transmitted from transmitters in the defined domain. After that a neural network uses obtained distances between transmitters and a receiver as its inputs to determine an actual position of the receiver in space. We developed two models, which outcomes are compared in conclusion. The aim of this article is to outline possibilities of sound and its physical properties during shooting of moving objects. Attention was devoted to the specific location of a fixed point in the space and time. We present two proposed methods that are based on neural networks. We also proposed appropriate topologies of the systems that depend on the required accuracy, acoustic properties and selected sound technologies. At first, we identified a distance between an active transmitter and a receiver on the basis of sound pulses transmitted from transmitters in the defined domain. After that a neural network uses obtained distances between transmitters and a receiver as its inputs to determine an actual position of the receiver in space. We developed two models, which outcomes are compared in conclusion.
dcterms:title
Acoustic signal processing via neural network towards motion capture systems Acoustic signal processing via neural network towards motion capture systems
skos:prefLabel
Acoustic signal processing via neural network towards motion capture systems Acoustic signal processing via neural network towards motion capture systems
skos:notation
RIV/61988987:17310/13:A1401900!RIV14-MSM-17310___
n7:predkladatel
n19:orjk%3A17310
n3:aktivita
n5:S
n3:aktivity
S
n3:dodaniDat
n13:2014
n3:domaciTvurceVysledku
n17:2282143 n17:1517031 n17:3494667
n3:druhVysledku
n20:D
n3:duvernostUdaju
n12:S
n3:entitaPredkladatele
n6:predkladatel
n3:idSjednocenehoVysledku
59363
n3:idVysledku
RIV/61988987:17310/13:A1401900
n3:jazykVysledku
n21:eng
n3:klicovaSlova
Acoustic signal processing; neural networks; motion capture system; Fourier transform
n3:klicoveSlovo
n14:Acoustic%20signal%20processing n14:Fourier%20transform n14:neural%20networks n14:motion%20capture%20system
n3:kontrolniKodProRIV
[125A0C072BC1]
n3:mistoKonaniAkce
Las Vagas, USA
n3:mistoVydani
USA
n3:nazevZdroje
IPCV'13
n3:obor
n11:IN
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n13:2013
n3:tvurceVysledku
Jarušek, Robert Kotyrba, Martin Volná, Eva
n3:typAkce
n18:WRD
n3:zahajeniAkce
2013-08-22+02:00
s:numberOfPages
5
n10:hasPublisher
CSREA Press
n16:isbn
1-60132-252-6
n15:organizacniJednotka
17310