A framework for parallel visualization at Pacific Northwest National Laboratory (PNNL) is being developed that utilizes the IBM Scaleable Graphics Engine (SGE) and IBM SP parallel computers. Parallel visualization res...
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ISBN:
(纸本)0819444057
A framework for parallel visualization at Pacific Northwest National Laboratory (PNNL) is being developed that utilizes the IBM Scaleable Graphics Engine (SGE) and IBM SP parallel computers. Parallel visualization resources are discussed, including display technologies, data handling, rendering, and interactivity. Several of these resources have been developed, while others are under development. These framework resources will be utilized by programmers in custom parallel visualization applications.
As the World Wide Web (WWW) continues to grow at an enormous rate, finding useful information on the WWW is becoming more and more tedious and time consuming. This paper introduces a new visualization technique called...
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ISBN:
(纸本)0819444057
As the World Wide Web (WWW) continues to grow at an enormous rate, finding useful information on the WWW is becoming more and more tedious and time consuming. This paper introduces a new visualization technique called TugOfWar for the visualization of search results on the WWW. TugOfWar provides a simple, 2-Dimensional (M), and interactive graphical user interface to help the users comprehend and filter such results. The TugOfWar interface visuall displays the relationship between the query keywords and the displayed documents (inter-document relationships) and the relevance of the query keywords to each individual document (intra-document relationships). Operations on the interface such as zoom in/out, add/remove keywords, or display details of a document increase the power of visualization. A large number of documents maybe displayed on one screen, which allows users to judge document relevance more quickly and accurately rather than by linearly flipping through result pages. The TugOfWar technique i intended to provide a global overview of the search results and may be combined with other visualization techniques to provide more details about the contents of a specific document. Several examples are used to illustrate the advantages of the TugOfWar approach.
Thesauri, such as Roget's Thesaurus, show the semantic relationships among terms and concepts. Understanding these relationships can lead to a greater understanding of linguistic structure and could be applied to ...
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ISBN:
(纸本)0819444057
Thesauri, such as Roget's Thesaurus, show the semantic relationships among terms and concepts. Understanding these relationships can lead to a greater understanding of linguistic structure and could be applied to creating more efficient natural-language recognition and processing programs. A general assumption is that focus and context displays of hyperbolic trees accelerate browsing ability over conventional trees. It is believed that allowing the user to visually browse the thesaurus will be more effective than keyword searching, especially when the terms in the thesaurus are not known in advance. The visualization can also potentially provide insight into semantic structure of terms. The novelty of this visualization lay in its implementation of various direct manipulation functions, tightly coupled windows, and how data is read into visualization. The direct manipulation functions allow the user to customize the appearance of the tree, to view the density of terms associated with particular concepts, and to view the thesaurus entries associated with each term. Input data is in an XML file format. The extensibility and ability to model complex hierarchies made XML a convenient choice. The object-oriented design of the code allows for displaying virtually any hierarchical data if it is in the XML format.
The field of information visualization is in permanent expansion and new and innovative ways of visualizing large volumes of abstract data are being developed. The use of virtual metaphoric worlds is one of them, but ...
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ISBN:
(纸本)0819444057
The field of information visualization is in permanent expansion and new and innovative ways of visualizing large volumes of abstract data are being developed. The use of virtual metaphoric worlds is one of them, but these visualizations per se are only truly useful if the user is provided a means of exploring the information. A common way of data exploration is navigation. In the case of three-dimensional (3D) information visualization, navigation as a means of information exploration attains even more importance due to the extra exploitable dimension. Nonetheless, navigation in large virtual worlds is still a difficult task and not only for naive users, there is anecdotal evidence that electronic navigation is considered difficult even by the virtual worlds builders. Wayfinding, "knowing where to go", is sometimes perceived as the hardest part;other times, it is the locomotion, "getting there", that is found difficult. This paper presents a navigation strategy that attempts to solve these problems by combining physical/metaphoric navigation with semantic navigation. We present a framework for navigating large virtual worlds that relies heavily on the use of visual metaphors. The combination of physical and semantic navigation embedded in the metaphor components allows for a powerful data exploration and electronic navigation mechanism.
Time varying simulations are common in many scientific domains to study the evolution of phenomena or features. The data produced in these simulations is massive. Instead of just one dataset of 512(3) or 1024(3) (for ...
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ISBN:
(纸本)0819444057
Time varying simulations are common in many scientific domains to study the evolution of phenomena or features. The data produced in these simulations is massive. Instead of just one dataset of 512(3) or 1024(3) (for regular gridded simulations) there could now be hundreds to thousands of timesteps. For datasets with evolving features, feature analysis and visualization tools are crucial to help interpret all the information. For example, it is usually important to know how many regions are evolving, what are their lifetimes, do they merge with others, how does the volume/mass change, etc. Therefore, feature based approaches, such as feature tracking and feature quantification are needed to follow identified regions over time. In our previous work, we have developed a methodology for analyzing time-varying datasets which tracks 3D amorphous features as they evolve in time. However, the implementation is for single-processor non-adaptive grids and for massive multiresolution datasets this approach needs to be distributed and enhanced. In this paper, we describe extensions to our feature extraction and tracking methodology for distributed AMR simulations. Two different paradigms are described, a "fully distributed" and a "partial-merge" strategy. The benefits and implementations of both are discussed.
This paper introduces an immersive virtual reality application that allows users to browse and explore the contents of database systems. We have implemented a visualization metaphor that is based upon the intrinsic ch...
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ISBN:
(纸本)0769516564
This paper introduces an immersive virtual reality application that allows users to browse and explore the contents of database systems. We have implemented a visualization metaphor that is based upon the intrinsic characteristics of particles, coined 'infoticles', which are used as representations of data objects. Users are able to interact with the dynamic, three-dimensional visualization by manipulating forces and surfaces. These tools, representing respectively user interests and data filters, influence the collection of infoticles according to the rules of Newtonian mechanics. Informational values are expressed through the presence of both dynamic and static characteristics such as motion, directionality, and form. We demonstrate these principles trough a prototype that uses our university's financial budget data.
Breakdown analysis involves decomposing data into sub-groups to allow for comparison and identification of problem areas. Good analysis requires the ability to group data based on attributes or values. Breakdown Visua...
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ISBN:
(纸本)1581134541
Breakdown analysis involves decomposing data into sub-groups to allow for comparison and identification of problem areas. Good analysis requires the ability to group data based on attributes or values. Breakdown visualization provides a mechanism to support this analysis through user guided decomposition and exploration of tabular data with a polyarchy structure. This is useful in domains such as sports statistics and corporate financial reports. Breakdown visualization utilizes a spreadsheet format for comparison of adjacent visualizations.
Advanced medical imaging technologies have enabled biologists and other researchers in biomedicine, biochemistry and bio-informatics to gain better insight in complex, large-scale data sets. These datasets, which occu...
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ISBN:
(纸本)0819444057
Advanced medical imaging technologies have enabled biologists and other researchers in biomedicine, biochemistry and bio-informatics to gain better insight in complex, large-scale data sets. These datasets, which occupy large amounts of space, can no longer archived on local hard drives. San Diego Supercomputer Center (SDSC) maintains a large data repository, called High Performance Storage System (HPSS), where large-scale biomedical data sets can be stored. These data sets must be transmitted over an open or closed network (Internet or Intranet) within a reasonable amount of time to make them accessible in an interactive fashion to researchers all over the world. Our approach deals with extracting and transforming these data sets using Haar wavelets, and transmitting them over a low- to medium-bandwidth network. These compressed data sets are then reconstructed into a 3-D volume on the client side, and rendered using texture mapping in Java3D. The data sets are handled using the Scalable visualization Toolkits developed within an NPACI (National Partnership for Advanced Computational Infrastructure) framework. Sub-volumes of the data sets are extracted to provide a detailed view of a particular region of interest (ROI). This application has also been ported to a C++ platform to obtain higher rendering speed and better performance but lacks platform independency.
Visual analysis of time varying scientific data can be divided into four different categories with an increasing degree of user interaction. 1) Production of static images representing scientific data at selected time...
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ISBN:
(纸本)1581135254
Visual analysis of time varying scientific data can be divided into four different categories with an increasing degree of user interaction. 1) Production of static images representing scientific data at selected times. 2) Production of video sequences in which graphical representation, time line and viewpoints are predefined. 3) Interactive streaming of logged data sets, allowing the user to alter graphical representation, filtering, time lines and viewpoints. 4) Real time interaction with the simulation or experiment that produces the data, allowing the user to alter parameters, graphical representation, filtering, time lines and viewpoints.
Currently, the cDNA and genomic sequence projects are processing at such a rapid rate that more and more gene data become available. New methods are needed to efficiently and effectively analyze and visualize this dat...
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