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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. (en)
Title
  • Network Optimatization for Interactive Telemedicine Services
  • Network Optimatization for Interactive Telemedicine Services (en)
skos:prefLabel
  • Network Optimatization for Interactive Telemedicine Services
  • Network Optimatization for Interactive Telemedicine Services (en)
skos:notation
  • RIV/00216305:26220/10:PU88124!RIV11-GA0-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/09/1130), S, Z(MSM0021630513)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 274484
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/10:PU88124
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Computed Radiography, Computed Tomography, medical image processing, OPNET Modeler, transmission capacity (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [27B1DB0AC512]
http://linked.open...v/mistoKonaniAkce
  • Velké Losiny
http://linked.open...i/riv/mistoVydani
  • Neuveden
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 12th International Conference RTT 2010
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Doležel, Radek
  • Hošek, Jiří
  • Molnár, Karol
  • Růčka, Lukáš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Neuveden
https://schema.org/isbn
  • 978-80-248-2261-7
http://localhost/t...ganizacniJednotka
  • 26220
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