The ARVORES project is a specific science task (part of a larger supercomputing effort) whose purpose is to develop SAR resources based on JERS-1 multi-season coverage of the Amazon rainforest using available state of...
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The ARVORES project is a specific science task (part of a larger supercomputing effort) whose purpose is to develop SAR resources based on JERS-1 multi-season coverage of the Amazon rainforest using available state of the art computing technology. Because of the basin-wide coverage of this data set, in addition to providing the immediate science goals of landcover classification, it will also serve as a foundation which present and future data sets may be overlain and compared to. In addition, it is the goal of this project to use the science requirements related to the study of the Amazon region to guide the development of a flexible, large-scale computing environment for addressing SAR specific tasks.
The largescale spatial and temporal variations of surface ice temperature over the Antarctic region are studied using infrared data derived from the Nimbus-7 Temperature Humidity Infrared Radiometer (THIR) from 1979 ...
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The largescale spatial and temporal variations of surface ice temperature over the Antarctic region are studied using infrared data derived from the Nimbus-7 Temperature Humidity Infrared Radiometer (THIR) from 1979 through 1985 and from the NOAA Advanced Very High Resolution Radiometer (AVHRR) from 1984 through 1995. Enhanced techniques suitable for the polar regions for cloud masking and atmospheric correction were used before converting radiances to surface temperatures. The observed spatial distribution of surface temperature is highly correlated with surface ice sheet topography and agrees well with ice station temperatures with 2 K to 4 K standard deviations. The average surface ice temperature over the entire continent fluctuates by about 30 K from summer to winter while that over the Antarctic Plateau varies by about 45 K. Interannual fluctuations of the coldest temperatures are observed to be as large as 15 K. Also, the interannual variations in surface temperatures are highest at the Antarctic Plateau and the ice shelves (e.g., Ross and Ronne) with a periodic cycle of about 5 years and standard deviations of about 11 K and 9 K, respectively. Despite large temporal variability, however, especially in some regions, a regression analysis that includes removal of the seasonal cycle shows no apparent trend in temperature during the period 1979 through 1995.
A dynamic query interface (DQI) is a database access mechanism that provides continuous real-time feedback to the user during query formulation. Previous work shows that DQIs are elegant and powerful interfaces to sma...
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A dynamic query interface (DQI) is a database access mechanism that provides continuous real-time feedback to the user during query formulation. Previous work shows that DQIs are elegant and powerful interfaces to small databases. Unfortunately, when applied to largedatabases, previous DQI algorithms slow to a crawl. We present a new incremental approach to DQI algorithms and display updates that work well with largedatabases, both in theory and in practice.
The Table Lens, focus+context visualization for largedata tables, allows users to see 100 times as many data values as a spreadsheet in the same screen space in a manner that enables an extremely immediate form of ex...
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The Table Lens, focus+context visualization for largedata tables, allows users to see 100 times as many data values as a spreadsheet in the same screen space in a manner that enables an extremely immediate form of exploratory dataanalysis. In the original Table Lens design, data are shown in the context area using graphical representations in a single pixel row. Scaling up the Table Lens technique beyond approximately 500 cases (rows) by 40 variables (columns) requires not showing every value individually and thus raises challenges for preserving the exploratory and navigational ease and power of the original design. We describe two design enhancements for introducing regions of less than a pixel row for each data value and discuss the issues raised by each.
We describe a system that allows the user to rapidly construct program visualizations over a variety of data sources. Such a system is a necessary foundation for using visualization as an aid to software understanding...
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We describe a system that allows the user to rapidly construct program visualizations over a variety of data sources. Such a system is a necessary foundation for using visualization as an aid to software understanding. The system supports an arbitrary set of data sources so that information from both static and dynamic analysis can be combined to offer meaningful software visualizations. It provides the user with a visual universal-relation front end that supports the definition of queries over multiple data sources without knowledge of the structure or contents of the sources. It uses a flexible back end with a range of different visualizations, most geared to the efficient display of large amounts of data. The result is a high-quality, easy-to-define program visualization that can address specific problems and hence is useful for software understanding. The overall system is flexible and extensible in that both the underlying data model and the set of visualizations are defined in resource files.
The display of multivariate datasets in parallel coordinates, transforms the search for relations among the variables into a 2-D pattern recognition problem. This is the basis for the application to visual data mining...
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The display of multivariate datasets in parallel coordinates, transforms the search for relations among the variables into a 2-D pattern recognition problem. This is the basis for the application to visual data mining. The knowledge discovery process together with some general guidelines are illustrated on a dataset from the production of a VLSI chip. The special strength of parallel coordinates is in modeling relations. As an example, a simplified economic model is constructed with data from various economic sectors of a real country. The visual model shows the interelationship and dependencies between the sectors, circumstances where there is competition for the same resource, and feasible economic policies. Interactively, the model can be used to do trade-off analyses, discover sensitivities, do approximate optimization, monitor (as in a process) and provide decision support.
The advances in computer graphics technology plus the increased complexity of finite element (FE) simulations of the crash behavior of a car body have resulted in the need for new visualization techniques to facilitat...
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The advances in computer graphics technology plus the increased complexity of finite element (FE) simulations of the crash behavior of a car body have resulted in the need for new visualization techniques to facilitate the analysis of such engineering computations. The VR system VtCrash provides novel computer-human interface techniques for intuitive and interactive analysis of large amounts of crash simulation data. VtCrash takes geometry and physical properties data as input and enables the user to enter a virtual crash and to interact with any part of the vehicle.
We describe a method for the visualization of information units on spherical domains which is employed in the banking industry for risk analysis, stock prediction and other tasks. The system is based on a quantificati...
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We describe a method for the visualization of information units on spherical domains which is employed in the banking industry for risk analysis, stock prediction and other tasks. The system is based on a quantification of the similarity of related objects that governs the parameters of a mass-spring system. Unlike existing approaches we initialize all information units onto the inner surface of two concentric spheres and attach them with springs to the outer sphere. Since the spring stiffnesses correspond to the computed similarity measures, the system converges into an energy minimum which reveals multidimensional relations and adjacencies in terms of spatial neighborhoods. Depending on the application scenario our approach supports different topological arrangements of related objects. In order to cope with largedata sets we propose a blobby clustering mechanism that enables encapsulation of similar objects by implicit shapes. In addition, we implemented various interaction techniques allowing semantic analysis of the underlying data sets. Our prototype system IVORY is written in Java, and its versatility is illustrated by an example from financial service providers.
The paper presents a parallel volume rendering system, ParVox, for large volumes of 4D data sets in regular structured grids. A parallel volume rendering API based on the splatting algorithm constitutes the core of th...
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ISBN:
(纸本)9781581130102
The paper presents a parallel volume rendering system, ParVox, for large volumes of 4D data sets in regular structured grids. A parallel volume rendering API based on the splatting algorithm constitutes the core of the ParVox system. A network interface program takes commands from an X Window based GUI, calls the API to perform the rendering functions, compresses the rendered images and sends them back to the GUI window. The ParVox system is designed for interactive, distributed visualization of large multiple time steps, multiple parameters volume datasets. The parallel splatting algorithm employs both object space decomposition and image space decomposition; an asynchronous image compositing scheme based on the direct send model reduces both the communication overhead and the synchronization overhead. The ParVox system architecture, the parallel algorithm and its implementation on the Cray T3D and the parallel wavelet compression algorithm are discussed extensively. The performance results and some optimization techniques are also presented.
Computational simulation of complex physical processes encountered in the design of advanced defense and commercial products increasingly requires modeling the complete three-dimensional geometrical details with tens ...
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Computational simulation of complex physical processes encountered in the design of advanced defense and commercial products increasingly requires modeling the complete three-dimensional geometrical details with tens of millions of grid cells to properly capture the physics. Advances in parallel computing, both in hardware and software, now make it feasible to solve such largescale simulations in a timely manner. The paper describes some of the work carried out at Rockwell in performing parallel computing in computational electromagnetics.
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