Noor Alamshah Bolhassan - Academia.edu (original) (raw)
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Papers by Noor Alamshah Bolhassan
2015 9th International Conference on IT in Asia (CITA), 2015
The 5th International Conference on Information and Communication Technology for The Muslim World (ICT4M), 2014
With a need for rational selection of a highly needed bio-informatics-related data, a technique t... more With a need for rational selection of a highly needed bio-informatics-related data, a technique to select, process and visualize the data is crucial. Through visualization, certain hidden form of knowledge can be achieved. Visual data exploration is really useful when little is known about the data and the exploration goals are vague. In this paper we present the method to be developed and implemented in a system prototype that will be able to produce an interactive visualization. The objective of this paper is twofold. First, we would like to investigate which visual data mining technique is the most effective for conveying and understanding bioactivity-related data visualization. Second, to explore new techniques to present and visualize the data as well as to validate the techniques by creating prototype of visualization tools to display and analysis the data. We develop a new framework using clustering technique for visualization and model the data. The dataset that will be used in our study is a subset of a particular AIDS dataset. For this study, 1000 molecules will be tested and analyzed. This paper explains an ongoing project.
Teleoperators and Virtual Environments, 2007
This paper describes a novel solution to problems associated with interactive display of immersiv... more This paper describes a novel solution to problems associated with interactive display of immersive stereographic imagery via Apple's QuickTime Virtual Reality (QTVR) technology. A unique multinode implementation providing Stereographic QTVR (termed here SQTVR) enables the display of pairs of images exhibiting binocular parallax, and the stereoscopic depth percept that results is enhanced by motion parallax inherent in a subtle translation of the viewpoint through the displayed 3D scene. Stereoscopic depth is maintained as a user pans freely through a complete ¢ ¤ £ ¦ ¥ § horizontal panorama, while the system imposes a slight dollying in and out of the scene as a user's view rotates left or right. In addition, SQTVR solves two problems that can be observed when users of conventional QTVR technology change viewing positions, and these are problems that generally interfere with a user's sense of immersion and telepresence. First, objects that should be revealed ("disoccluded") by a change in viewing position remain occluded behind objects in the foreground of the image. Second, objects that should loom large as they approach the viewing position are displayed in an unchanging proportion relative to image elements in the background. SQTVR's multinode implementation addresses these two limitations of conventional QTVR technology in a natural way by tiling a plane with equilateral triangles connecting potential viewing positions.
2015 9th International Conference on IT in Asia (CITA), 2015
The 5th International Conference on Information and Communication Technology for The Muslim World (ICT4M), 2014
With a need for rational selection of a highly needed bio-informatics-related data, a technique t... more With a need for rational selection of a highly needed bio-informatics-related data, a technique to select, process and visualize the data is crucial. Through visualization, certain hidden form of knowledge can be achieved. Visual data exploration is really useful when little is known about the data and the exploration goals are vague. In this paper we present the method to be developed and implemented in a system prototype that will be able to produce an interactive visualization. The objective of this paper is twofold. First, we would like to investigate which visual data mining technique is the most effective for conveying and understanding bioactivity-related data visualization. Second, to explore new techniques to present and visualize the data as well as to validate the techniques by creating prototype of visualization tools to display and analysis the data. We develop a new framework using clustering technique for visualization and model the data. The dataset that will be used in our study is a subset of a particular AIDS dataset. For this study, 1000 molecules will be tested and analyzed. This paper explains an ongoing project.
Teleoperators and Virtual Environments, 2007
This paper describes a novel solution to problems associated with interactive display of immersiv... more This paper describes a novel solution to problems associated with interactive display of immersive stereographic imagery via Apple's QuickTime Virtual Reality (QTVR) technology. A unique multinode implementation providing Stereographic QTVR (termed here SQTVR) enables the display of pairs of images exhibiting binocular parallax, and the stereoscopic depth percept that results is enhanced by motion parallax inherent in a subtle translation of the viewpoint through the displayed 3D scene. Stereoscopic depth is maintained as a user pans freely through a complete ¢ ¤ £ ¦ ¥ § horizontal panorama, while the system imposes a slight dollying in and out of the scene as a user's view rotates left or right. In addition, SQTVR solves two problems that can be observed when users of conventional QTVR technology change viewing positions, and these are problems that generally interfere with a user's sense of immersion and telepresence. First, objects that should be revealed ("disoccluded") by a change in viewing position remain occluded behind objects in the foreground of the image. Second, objects that should loom large as they approach the viewing position are displayed in an unchanging proportion relative to image elements in the background. SQTVR's multinode implementation addresses these two limitations of conventional QTVR technology in a natural way by tiling a plane with equilateral triangles connecting potential viewing positions.