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Visualizing collaboration time-varying scientific datasets

Our perceptive of the scientific datasets has largely relied on numerical and statistical analysis of data from experimental dimension and computer simulation result [4][14][11][12][13]. In particular, we consider a simulated 3D time-varying model of scientific datasets and examine the temporal corr...

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Main Authors: Mohamad Sharif, Johan, Omar, Mohd. Shahir Shamsir, Ngadi, M. Asri, Abd. Latiff, Muhammad Shafie
Format: Conference or Workshop Item
Published: 2007
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/25073/
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id my.utm.25073
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spelling my.utm.250732017-08-08T01:27:46Z http://eprints.utm.my/id/eprint/25073/ Visualizing collaboration time-varying scientific datasets Mohamad Sharif, Johan Omar, Mohd. Shahir Shamsir Ngadi, M. Asri Abd. Latiff, Muhammad Shafie QA75 Electronic computers. Computer science Our perceptive of the scientific datasets has largely relied on numerical and statistical analysis of data from experimental dimension and computer simulation result [4][14][11][12][13]. In particular, we consider a simulated 3D time-varying model of scientific datasets and examine the temporal correlation among datasets. Our goal is to contrive effective visual representations to assist scientists in ascertaining temporal correlation among intricate and apparently chaotic scientific datasets. We propose a hybrid application with combination of streamline, global and local color scale and opacity scheme for spatio-temporal collaborative depiction. We illustrated also few images that can offer an effective tool for visually mining 3D time-varying scientific datasets. 2007 Conference or Workshop Item PeerReviewed Mohamad Sharif, Johan and Omar, Mohd. Shahir Shamsir and Ngadi, M. Asri and Abd. Latiff, Muhammad Shafie (2007) Visualizing collaboration time-varying scientific datasets. In: 3rd Kuala Lumpur International Conference On Biomedical Engineering 2006., 2007, Kuala Lumpur.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Mohamad Sharif, Johan
Omar, Mohd. Shahir Shamsir
Ngadi, M. Asri
Abd. Latiff, Muhammad Shafie
Visualizing collaboration time-varying scientific datasets
description Our perceptive of the scientific datasets has largely relied on numerical and statistical analysis of data from experimental dimension and computer simulation result [4][14][11][12][13]. In particular, we consider a simulated 3D time-varying model of scientific datasets and examine the temporal correlation among datasets. Our goal is to contrive effective visual representations to assist scientists in ascertaining temporal correlation among intricate and apparently chaotic scientific datasets. We propose a hybrid application with combination of streamline, global and local color scale and opacity scheme for spatio-temporal collaborative depiction. We illustrated also few images that can offer an effective tool for visually mining 3D time-varying scientific datasets.
format Conference or Workshop Item
author Mohamad Sharif, Johan
Omar, Mohd. Shahir Shamsir
Ngadi, M. Asri
Abd. Latiff, Muhammad Shafie
author_facet Mohamad Sharif, Johan
Omar, Mohd. Shahir Shamsir
Ngadi, M. Asri
Abd. Latiff, Muhammad Shafie
author_sort Mohamad Sharif, Johan
title Visualizing collaboration time-varying scientific datasets
title_short Visualizing collaboration time-varying scientific datasets
title_full Visualizing collaboration time-varying scientific datasets
title_fullStr Visualizing collaboration time-varying scientific datasets
title_full_unstemmed Visualizing collaboration time-varying scientific datasets
title_sort visualizing collaboration time-varying scientific datasets
publishDate 2007
url http://eprints.utm.my/id/eprint/25073/
_version_ 1643647551647252480
score 13.211869

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