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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F10%3APU88124%21RIV11-GA0-26220___
rdf:type
n11:Vysledek skos:Concept
dcterms:description
In medical environment, there is a fundamental demand to transfer and store large volumes of image data generated by modern medical devices and interactive telemedicine services. Currently the majority of the medical facilities spread around the country have quite limited Internet access, so these facilities require additional observation and network optimization for transfer of high load traffic generated by medical applications such as Computed Radiography or Computed Tomography. That is why we focused our work on this issue and this paper presents our result - optimal solution to transfer large volumes of image date over low-capacity links with regarding to minimum response-times. First we statistically described the traffic generated by the corresponding medical equipment and then evaluated the behaviour of these mathematical models in the OPNET Modeler discrete event simulation environment. In medical environment, there is a fundamental demand to transfer and store large volumes of image data generated by modern medical devices and interactive telemedicine services. Currently the majority of the medical facilities spread around the country have quite limited Internet access, so these facilities require additional observation and network optimization for transfer of high load traffic generated by medical applications such as Computed Radiography or Computed Tomography. That is why we focused our work on this issue and this paper presents our result - optimal solution to transfer large volumes of image date over low-capacity links with regarding to minimum response-times. First we statistically described the traffic generated by the corresponding medical equipment and then evaluated the behaviour of these mathematical models in the OPNET Modeler discrete event simulation environment.
dcterms:title
Network Optimatization for Interactive Telemedicine Services Network Optimatization for Interactive Telemedicine Services
skos:prefLabel
Network Optimatization for Interactive Telemedicine Services Network Optimatization for Interactive Telemedicine Services
skos:notation
RIV/00216305:26220/10:PU88124!RIV11-GA0-26220___
n3:aktivita
n13:S n13:P n13:Z
n3:aktivity
P(GA102/09/1130), S, Z(MSM0021630513)
n3:dodaniDat
n17:2011
n3:domaciTvurceVysledku
n6:4802403 n6:6533132 n6:1340077 Molnár, Karol
n3:druhVysledku
n10:D
n3:duvernostUdaju
n18:S
n3:entitaPredkladatele
n7:predkladatel
n3:idSjednocenehoVysledku
274484
n3:idVysledku
RIV/00216305:26220/10:PU88124
n3:jazykVysledku
n9:eng
n3:klicovaSlova
Computed Radiography, Computed Tomography, medical image processing, OPNET Modeler, transmission capacity
n3:klicoveSlovo
n4:Computed%20Tomography n4:transmission%20capacity n4:OPNET%20Modeler n4:medical%20image%20processing n4:Computed%20Radiography
n3:kontrolniKodProRIV
[27B1DB0AC512]
n3:mistoKonaniAkce
Velké Losiny
n3:mistoVydani
Neuveden
n3:nazevZdroje
Proceedings of the 12th International Conference RTT 2010
n3:obor
n22:JA
n3:pocetDomacichTvurcuVysledku
4
n3:pocetTvurcuVysledku
4
n3:projekt
n19:GA102%2F09%2F1130
n3:rokUplatneniVysledku
n17:2010
n3:tvurceVysledku
Růčka, Lukáš Doležel, Radek Molnár, Karol Hošek, Jiří
n3:typAkce
n14:EUR
n3:zahajeniAkce
2010-09-08+02:00
n3:zamer
n20:MSM0021630513
s:numberOfPages
4
n21:hasPublisher
Neuveden
n8:isbn
978-80-248-2261-7
n16:organizacniJednotka
26220