This HTML5 document contains 50 embedded RDF statements represented using HTML+Microdata notation.

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

Namespace Prefixes

PrefixIRI
dctermshttp://purl.org/dc/terms/
n13http://localhost/temp/predkladatel/
n6http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n11http://linked.opendata.cz/resource/domain/vavai/subjekt/
n10http://linked.opendata.cz/ontology/domain/vavai/
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/
n18http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F00216305%3A26220%2F12%3APU99032%21RIV13-MSM-26220___/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n8http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n14http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n17http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n9http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n12http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n5http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n7http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F12%3APU99032%21RIV13-MSM-26220___
rdf:type
skos:Concept n10:Vysledek
dcterms:description
Interactive telemedicine services, especially remote medical diagnostics, become very popular due to their cost efficiency and low response times. On the other hand several acquisition units connected to a communication network can significantly increase the network load and often require additional observation and network optimization. It is usually always true in the case of communication links connecting hospital facilities to the Internet. These links used to be leased from commercial ISPs and there is a pressure to select low cost solution, but still keeping the required quality of telemedical network services. The article deals with statistical modelling of network traffic generated by Computed Radiography and Computed Tomography. Statistical models were used to optimize network capacity from the point of view of application response time. Interactive telemedicine services, especially remote medical diagnostics, become very popular due to their cost efficiency and low response times. On the other hand several acquisition units connected to a communication network can significantly increase the network load and often require additional observation and network optimization. It is usually always true in the case of communication links connecting hospital facilities to the Internet. These links used to be leased from commercial ISPs and there is a pressure to select low cost solution, but still keeping the required quality of telemedical network services. The article deals with statistical modelling of network traffic generated by Computed Radiography and Computed Tomography. Statistical models were used to optimize network capacity from the point of view of application response time. Interactive telemedicine services, especially remote medical diagnostics, become very popular due to their cost efficiency and low response times. On the other hand several acquisition units connected to a communication network can significantly increase the network load and often require additional observation and network optimization. It is usually always true in the case of communication links connecting hospital facilities to the Internet. These links used to be leased from commercial ISPs and there is a pressure to select low cost solution, but still keeping the required quality of telemedical network services. The article deals with statistical modelling of network traffic generated by Computed Radiography and Computed Tomography. Statistical models were used to optimize network capacity from the point of view of application response time.
dcterms:title
Network Link Capacity Optimization for Interactive Telemedicime Services Network Link Capacity Optimization for Interactive Telemedicime Services Network Link Capacity Optimization for Interactive Telemedicime Services
skos:prefLabel
Network Link Capacity Optimization for Interactive Telemedicime Services Network Link Capacity Optimization for Interactive Telemedicime Services Network Link Capacity Optimization for Interactive Telemedicime Services
skos:notation
RIV/00216305:26220/12:PU99032!RIV13-MSM-26220___
n10:predkladatel
n11:orjk%3A26220
n3:aktivita
n9:S
n3:aktivity
S
n3:cisloPeriodika
2
n3:dodaniDat
n7:2013
n3:domaciTvurceVysledku
n6:6533132 n6:5123178 n6:6016189 Molnár, Karol n6:4802403
n3:druhVysledku
n5:J
n3:duvernostUdaju
n14:S
n3:entitaPredkladatele
n18:predkladatel
n3:idSjednocenehoVysledku
153832
n3:idVysledku
RIV/00216305:26220/12:PU99032
n3:jazykVysledku
n17:cze
n3:klicovaSlova
network, link, capacity, interactive, service
n3:klicoveSlovo
n8:network n8:service n8:link n8:capacity n8:interactive
n3:kodStatuVydavatele
CZ - Česká republika
n3:kontrolniKodProRIV
[D4E6AA5797DF]
n3:nazevZdroje
Elektrorevue - Internetový časopis (http://www.elektrorevue.cz)
n3:obor
n12:JC
n3:pocetDomacichTvurcuVysledku
5
n3:pocetTvurcuVysledku
5
n3:rokUplatneniVysledku
n7:2012
n3:svazekPeriodika
3
n3:tvurceVysledku
Vajsar, Pavel Růčka, Lukáš Molnár, Karol Hošek, Jiří Dostál, Otto
s:issn
1213-1539
s:numberOfPages
4
n13:organizacniJednotka
26220