About: Localization by Wireless Technologies for Managing of Large Scale Data Artifacts on Mobile Devices     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • The ability to locate a mobile device by a wireless network is well known possibilities. Except traditional WiFi the BT or GSM network can be used. Utility of position info is in many of current areas. New kind of mobile devices are equipped with high capacity of hardware like RAM, ROM, SD Cards etc. However the memory bus and CPU are not able to process large amount of data which leads to slow response in case of mobile software application with large files. To allow an adequate work with such kind of applications with same comfort as on desktop devices the prebuffering techniques can be used to solve it. Main area of interest is in a use of locating and tracking users of a mobile information system to prebuffer possible large amount data to before usage. All large data files are stored as artifacts along with its position information in building or larger area environment. The accessing of prebuffered data on mobile device can highly improve response time needed to view large multimedia data. This f
  • The ability to locate a mobile device by a wireless network is well known possibilities. Except traditional WiFi the BT or GSM network can be used. Utility of position info is in many of current areas. New kind of mobile devices are equipped with high capacity of hardware like RAM, ROM, SD Cards etc. However the memory bus and CPU are not able to process large amount of data which leads to slow response in case of mobile software application with large files. To allow an adequate work with such kind of applications with same comfort as on desktop devices the prebuffering techniques can be used to solve it. Main area of interest is in a use of locating and tracking users of a mobile information system to prebuffer possible large amount data to before usage. All large data files are stored as artifacts along with its position information in building or larger area environment. The accessing of prebuffered data on mobile device can highly improve response time needed to view large multimedia data. This f (en)
Title
  • Localization by Wireless Technologies for Managing of Large Scale Data Artifacts on Mobile Devices
  • Localization by Wireless Technologies for Managing of Large Scale Data Artifacts on Mobile Devices (en)
skos:prefLabel
  • Localization by Wireless Technologies for Managing of Large Scale Data Artifacts on Mobile Devices
  • Localization by Wireless Technologies for Managing of Large Scale Data Artifacts on Mobile Devices (en)
skos:notation
  • RIV/61989100:27240/09:00020992!RIV10-MSM-27240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0567), P(GA102/08/1429)
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
  • 323995
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/09:00020992
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Mobile Device; Localization; Prebuffering; Response Time (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [B1AC068A2950]
http://linked.open...v/mistoKonaniAkce
  • Wroclaw, POLAND
http://linked.open...i/riv/mistoVydani
  • Berlin Heidelberg
http://linked.open...i/riv/nazevZdroje
  • Lecture Notes in Artificial Intelligence COMPUTATIONAL COLLECTIVE INTELLIGENCE: SEMANTIC WEB, SOCIAL NETWORKS AND MULTIAGENT SYSTEMS
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
  • Krejcar, Ondřej
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000273559800061
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag. (Berlin; Heidelberg)
https://schema.org/isbn
  • 978-3-642-04440-3
http://localhost/t...ganizacniJednotka
  • 27240
is http://linked.open...avai/riv/vysledek of
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software