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01511 am a22001933u 4500 |
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3312 |
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|a dc
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|a Mohamad Sharif, Johan
|e author
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|a Abd. Latiff, Muhammad Shafie
|e author
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|a Ngadi, Md. Asri
|e author
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|a Visual study of timeline and collaborative events of ion trajectories in glass structure
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|b Chiang Mai University,
|c 2007.
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|z Get fulltext
|u http://eprints.utm.my/id/eprint/3312/1/Visual_Mining_Ion_Dynamic_Datasets-afterCorrection.pdf
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|a Our perception of the ion trajectories has largely relied on numerical and statistical analysis of data from experimental dimension and computer simulation results (Funke, 1993; Ngai, 1993; Smith et al., 1995; Ngai et al., 1998; Ngai et al., 2002). In particular, we considered a simulated 3D time-varying model of ion trajectory and examined the temporal correlation among chaotic movement of the ions. Our goal is to contrive effective visual study to assist scientists, especially physicists, in ascertaining temporal correlation among intricate and apparently chaotic time-varying datasets. We proposed a hybrid application with combination of iconic techniques, global and local colour scale and opacity scheme for spatio-temporal depiction. We illustrated also few images that can offer an effective tool for visually mining 3D time-varying scientific datasets.
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|a en
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|a Q Science (General)
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|a QD Chemistry
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|a QA76 Computer software
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|a QC Physics
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