Localization by Wireless Technologies for Managing of Large Scale Data Artifacts on Mobile Devices
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F09%3A00020992" target="_blank" >RIV/61989100:27240/09:00020992 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Localization by Wireless Technologies for Managing of Large Scale Data Artifacts on Mobile Devices
Original language 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 ofapplications 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 multime
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Artificial Intelligence COMPUTATIONAL COLLECTIVE INTELLIGENCE: SEMANTIC WEB, SOCIAL NETWORKS AND MULTIAGENT SYSTEMS
ISBN
978-3-642-04440-3
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
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Publisher name
Springer-Verlag Berlin Heidelberg
Place of publication
Berlin Heidelberg
Event location
Wroclaw, POLAND
Event date
Oct 5, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000273559800061