Presentation 2003/2/21
The Study on Increase efficiency of Remote Visualization with Large Scale Data
Kazuma KAMISAWA, Yasuo EBARA, Koji KOYAMADA, Koji SAKAI, Akio DOI,
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Abstract(in English) Remote Visualization by using the Internet is general to perform numerical analysis and visualization processing at a server side, and they are transmitted image and video data which were visualized and display on a client. However, as this method is influenced by network traffic and by high load on a server, it can't display normally on client. Furthermore, when we act various change of parameter, all parameters must be transmit to server, and the stop and the change of analysis can't be easy. The authors design the remote visualization system which can transmits efficiently numeric analysis data from a server to a client, by visualization processing on the client side, and can perform re-processing of the numerical analysis by the change of parameter and the stop of analysis.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Remote Visualization / Server / Client / LIC method
Paper # CQ2002-143,MVE2002-117
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Committee CQ
Conference Date 2003/2/21(1days)
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Paper Information
Registration To Communication Quality (CQ)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) The Study on Increase efficiency of Remote Visualization with Large Scale Data
Sub Title (in English)
Keyword(1) Remote Visualization
Keyword(2) Server
Keyword(3) Client
Keyword(4) LIC method
1st Author's Name Kazuma KAMISAWA
1st Author's Affiliation Faculty of Software and Information Science Iwate Prefectural University()
2nd Author's Name Yasuo EBARA
2nd Author's Affiliation Academic Center for Computing and Media Studies, Kyoto University
3rd Author's Name Koji KOYAMADA
3rd Author's Affiliation Academic Center for Computing and Media Studies, Kyoto University
4th Author's Name Koji SAKAI
4th Author's Affiliation Research Institute for Environmental Sciences and Public Health of Iwate Prefecture
5th Author's Name Akio DOI
5th Author's Affiliation Faculty of Software and Information Science Iwatte Prefectural University
Date 2003/2/21
Paper # CQ2002-143,MVE2002-117
Volume (vol) vol.102
Number (no) 660
Page pp.pp.-
#Pages 6
Date of Issue