3D scientific data mining in ion trajectories
In physics, structure of glass and ion trajectories are essentially based on statistical analysis of data acquired through experimental measurement and computer simulation. Invariably, the details of the structure-transport relationships in the data have been mistreated in favour of ensemble average...
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my.utm.271412022-04-29T21:53:58Z http://eprints.utm.my/id/eprint/27141/ 3D scientific data mining in ion trajectories Mohamad Sharif, Johan Ngadi, Md. Asri Abd. Latif, Muhammad Shafie Jamil, M. M. A. QA75 Electronic computers. Computer science In physics, structure of glass and ion trajectories are essentially based on statistical analysis of data acquired through experimental measurement and computer simulation. Invariably, the details of the structure-transport relationships in the data have been mistreated in favour of ensemble average. In this study, we demonstrate a visual approach of such relationship using surface-based visualisation schemes. In particular, we demonstrate a scientific datasets of simulated 3D time-varying model and examine the temporal correlation among ion trajectories. We propose a scheme that uses a three dimensional visual representation with colour scale for depicting the timeline events in ion trajectories and this scheme could be divided into two major part such as global and local time scale. With a collection of visual examples from this study, we demonstrate that this scheme may offer an effective tool for visually mining 3D timeline events of the ion trajectories. This work will potentially form a basis of a novel analysis tool for measuring the effectiveness of visual representation to assist physicist in identifying possible temporal association among complex and chaotic atom movements in ion trajectories. 2010 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/27141/1/JohanMSharif2010_3DScientificDataMining.pdf Mohamad Sharif, Johan and Ngadi, Md. Asri and Abd. Latif, Muhammad Shafie and Jamil, M. M. A. (2010) 3D scientific data mining in ion trajectories. In: 3rd International Conference on Knowledge Discovery and Data Mining, WKDD 2010, 2010, Phuket, Thailand. http://dx.doi.org/10.1109/WKDD.2010.114 |
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QA75 Electronic computers. Computer science Mohamad Sharif, Johan Ngadi, Md. Asri Abd. Latif, Muhammad Shafie Jamil, M. M. A. 3D scientific data mining in ion trajectories |
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In physics, structure of glass and ion trajectories are essentially based on statistical analysis of data acquired through experimental measurement and computer simulation. Invariably, the details of the structure-transport relationships in the data have been mistreated in favour of ensemble average. In this study, we demonstrate a visual approach of such relationship using surface-based visualisation schemes. In particular, we demonstrate a scientific datasets of simulated 3D time-varying model and examine the temporal correlation among ion trajectories. We propose a scheme that uses a three dimensional visual representation with colour scale for depicting the timeline events in ion trajectories and this scheme could be divided into two major part such as global and local time scale. With a collection of visual examples from this study, we demonstrate that this scheme may offer an effective tool for visually mining 3D timeline events of the ion trajectories. This work will potentially form a basis of a novel analysis tool for measuring the effectiveness of visual representation to assist physicist in identifying possible temporal association among complex and chaotic atom movements in ion trajectories. |
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Conference or Workshop Item |
author |
Mohamad Sharif, Johan Ngadi, Md. Asri Abd. Latif, Muhammad Shafie Jamil, M. M. A. |
author_facet |
Mohamad Sharif, Johan Ngadi, Md. Asri Abd. Latif, Muhammad Shafie Jamil, M. M. A. |
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Mohamad Sharif, Johan |
title |
3D scientific data mining in ion trajectories |
title_short |
3D scientific data mining in ion trajectories |
title_full |
3D scientific data mining in ion trajectories |
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3D scientific data mining in ion trajectories |
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3D scientific data mining in ion trajectories |
title_sort |
3d scientific data mining in ion trajectories |
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2010 |
url |
http://eprints.utm.my/id/eprint/27141/1/JohanMSharif2010_3DScientificDataMining.pdf http://eprints.utm.my/id/eprint/27141/ http://dx.doi.org/10.1109/WKDD.2010.114 |
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