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检索条件"任意字段=Conference on Visualization and Data Analysis 2002"

共 316 条记录，以下是81-90 订阅

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Scalable analysis techniques for microprocessor performance counter metrics

Scalable analysis techniques for microprocessor performance ...

引用

2002 IEEE/ACM conference on Supercomputing, SC 2002

作者： Ahn, Dong H. Vetter, Jeffrey S. Lawrence Livermore National Laboratory LivermoreCA94551 United States

ISBN: (纸本)076951524X

Contemporary microprocessors provide a rich set of integrated performance counters that allow application developers and system architects alike the opportunity to gather important information about workload behaviors. Current techniques for analyzing data produced from these counters use raw counts, ratios, and visualization techniques help users make decisions about their application performance. While these techniques are appropriate for analyzing data from one process, they do not scale easily to new levels demanded by contemporary computing systems. Very simply, this paper addresses these concerns by evaluating several multivariate statistical techniques on these datasets. We find that several techniques, such as statistical clustering, can automatically extract important features from the data. These derived results can, in turn, be fed directly back to an application developer, or used as input to a more comprehensive performance analysis environment, such as a visualization or an expert system. © 2002 IEEE.

关键词： Expert systems

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Volume visualization of 5D sedimentation models

Volume visualization of 5D sedimentation models

引用

conference on visualization and data analysis 2002

作者： Vickery, RJ Keen, TR Moorhead, RJ Brou, RJ Carruth, DW Doane, SM Mississippi State Univ Engn Res Ctr Mississippi State MS 39762 USA

ISBN: (纸本)0819444057

We implemented a hybrid immersive visualization system for a five dimensional (5D) coupled bottom boundary layer-sedimentation model. This model predicts sediment resuspension, transport, and resulting distributions for shallow water regions on continental shelves. One variable of interest, suspended sediment concentration (SSC), is 51) and varies by longitude, latitude, depth, time, and grain size. At each grid point there are twenty values for SSC, representing grain sizes ranging from 2.36 to 3306 mum. Currently the most common methods of analyzing the SSC distribution are only 2D, e.g., point profiles, cross-sections, map views at equal water depths, and time series. Traditional methods require multiple sets of plots that are analyzed manually. Good 3D methods are needed that will allow researchers to investigate the complex relationships between variables and see the underlying physical processes more comprehensively, especially within the wave boundary layer close to the ocean bottom. This paper presents the work in progress on the motivation, requirements, and overall design of the visualization system, along with the latest efforts to incorporate volume visualization as an effective means of understanding the SSC variable. The system is optimized for deployment in a CAVE. We also describe the extension of this system to other problem domains.

关键词： volume visualization texture synthesis texture generation sedimentation

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A general-purpose electronic warfare system test configuration data model

A general-purpose electronic warfare system test configurati...

引用

conference on Radar Sensor Technology and data visualization

作者： Viverito, VJ Georgia Tech Res Inst Elect Syst Lab Atlanta GA 30318 USA

ISBN: (纸本)0819444944

Electronic Warfare Systems tests, whether performed in the lab or on the range, require extensive configuration of the test equipment, all attributes of which must be stored for later data reduction and analysis. Many tests require similar configurations;it would therefore be useful if general-purpose configuration templates could be built once then reused whenever necessary. In this paper, a data model is developed which stores complex EW-system test configurations. Configurations may be reused at multiple levels. Should new kinds of data be required in the future, the model is extensible. Equally important, the model can be pared down in uncomplicated configuration situations. Finally, less frustration during data reduction and analysis would occur since the model facilitates straightforward data entry. Software that reduces data gleaned from EW-system tests may use this model both to develop databases for configuration storage and as part of the internal model of the reduction software itself.

关键词： UML data model database EW testing

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3D quantification visualization of vascular structures in magnetic resonance angiographic images

引用

International conference on Computational Science

作者： Schaap, JA de Koning, PJH Janssen, JP Westenberg, JJM van der Geest, RJ Reiber, JHC Leiden Univ Med Ctr Dept Radiol Div Image Proc Leiden Netherlands

ISBN: (纸本)3540435948

This paper describes a new method to segment vascular structures in 3D MRA data, based on the Wavefront Propagation algorithm. The center lumen line and the vessel boundary are detected automatically. Our 3D visualization and interaction platform will be prestended, which is used to aid the phycisian in the analysis of the MRA data. The results are compared to conventional X-ray DSA which is considered the current gold-standard. Provided that the diameter of the vessel is larger than 3 voxels, our method has similar result as X-ray DSA.

关键词： visualization

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visualization of coregistered imagery for remote surface operations

Visualization of coregistered imagery for remote surface ope...

引用

2003 IEEE Aerospace conference

作者： Powell, Mark W. Brackes, Paul G. Vona, Marsette A. Norris, Jeffrey S. Jet Propulsion Laboratory California Institute of Technology Pasadena CA United States

ISBN: (纸本)078037651X

This work discusses various techniques used in visualizing sets of coregistered images for planetary lander or rover mission operations. Imagery from all available instrumentation on board a planetary rover or lander is useful in science analysis of a remote landing site. We use a visualization technique called data fusion to expedite analyzing data from an instrument suite. data fusion uses coregistration information to overlay images from different instruments together. These overlay images are then presented to the scientist in both 2D and 3D visualization tools. Next, we introduce a technique for panorama visualization that is based on a spherical warp operation. This warping technique is optimized for computational efficiency in order to run dynamically and to support a 2D or 3D visualization tool. We then present some results of the implementation of these techniques for the 2003 MER Science Activity Planner software, using image data from the 2002 FIDO-MER field test. We conclude with a discussion of future directions for these visualization techniques. © 2003 IEEE.

关键词： visualization

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A PACS-based interface for 3D anatomical structures visualization and surgical planning

A PACS-based interface for 3D anatomical structures visualiz...

引用

Medical Imaging 2002 conference

作者： Koehl, C Soler, L Marescaux, J IRCAD EITS F-67091 Strasbourg France

ISBN: (纸本)081944426X

The interpretation of radiological image is routine but it remains a rather difficult task for physicians. It requires complex mental processes, that permit translation from 2D slices into 3D localization and volume determination of visible diseases. An easier and more extensive visualization and exploitation of medical images can be reached through the use of computer-based systems that provide real help from patient admission to post-operative follow-up. In this way, we have developed a 3D visualization interface linked to a PACS database that allows manipulation and interaction on virtual organs delineated from CT-scan or MRI. This software provides the 3D real-time surface rendering of anatomical structures, an accurate evaluation of volumes and distances and the improvement of radiological image analysis and exam annotation through a negatoscope tool. It also provides a tool for surgical planning allowing the positioning of an interactive laparoscopic instrument and the organ resection. The software system could revolutionize the field of computerized imaging technology. Indeed, it provides a handy and portable tool for pre-operative and intra-operative analysis of anatomy and pathology in various medical fields. This constitutes the first step of the future development of augmented reality and surgical simulation systems.

关键词： surgical simulation and training pre- and intra-operative imaging/visualization real-time 3D visualization medical data storage

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View_HDF: visualization and analysis tool for hierarchical data format files

View_HDF: Visualization and analysis tool for hierarchical d...

引用

Ocean's 2002 conference and Exhibition

作者： Lee, Kam-Pui Spence, Peter L. Sci. Applic. Intl. Corporation 1 Enterprise Parkway Hampton VA 23666 United States

Many atmospheric and oceanographic data sets are being archived in Hierarchical data Format (HDF). HDF is self-documenting and enables the storage of large scientific data sets in a common, efficient machine-independent binary format. Science Applications International Corporation (SAIC) along with the Atmospheric Sciences Competency at NASA Langley Research Center (LaRC), have developed an interactive visualization and analysis tool, view_HDF, to manipulate HDF files. view_HDF was initially developed for the Clouds and the Earth's Radiant Energy System (CERES) project at NASA/LaRC, then later extended to HDF files in general. This tool is designed to work with any HDF file and provides a broad range of visualization and analysis capabilities that allow researchers to select, analyze, and manipulate information stored in HDF files. view_HDF can also read column formatted ASCII text. Examples of the tool's versatility and utility are presented using atmospheric and oceanographic data sets. The included data products come from the CERES, TOPEX/Poseidon, MODIS, and Pathfinder missions. From these data products, view_HDF is demonstrated to extract and geolocate, Sea Surface Height, Sea Surface Temperature, Scene Identification, and Wind Speed over ocean for a common data day. The software is written in Interactive data Language (IDL), and although originally developed on a UNIX platform, it has been ported to Microsoft Windows environment. It should be portable to any platform that supports IDL. view_HDF is available from the NASA/LaRC Atmospheric Sciences data Center at http://***/HPDOCS/view_***. The software packages also contain a User's Guide in PDF and a sample data file.

关键词： Earth atmosphere

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visualization of high dynamic range images

Visualization of high dynamic range images

引用

International conference on Image Processing (ICIP'02)

作者： Pardo, Alvaro Sapiro, Guillermo IMERL and IIE Facultad de Ingenieria Universidad de la Republica C.C. 30 Montevideo Uruguay Electrical and Computer Engineering University of Minnesota Minneapolis MN 55455 United States

A novel paradigm for information visualization in high dynamic range images is presented in this paper. These images, real or synthetic, have luminance with typical ranges many orders of magnitude higher than that of standard output devices, thereby requiring some processing for their visualization. In contrast with existent approaches, which compute a single image with reduced range, close in a given sense to the original data, we propose to look for a representative set of images. The goal is then to produce a minimal set of images capturing the information all over the high dynamic range data, while at the same time preserving a natural appearance for each one of the images in the set. A specific algorithm that achieves this goal is presented and tested on natural and synthetic data.

关键词： Image analysis

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Development of reusable software components for monitoring data management, visualization and analysis

Development of reusable software components for monitoring d...

引用

Smart Structures and Materials 2002 conference

作者： Inaudi, D SMARTEC SA (Switzerland)

ISBN: (纸本)0819444448

The permanent or regular monitoring of structures with sensors of any type can generate a consistent volume of data. Furthermore, it is often necessary to store additional information that is useful for the analysis of the measurements. This data should be comprehensible even after tens of years. Our experience has shown that the use of relational database structures can greatly simplify the handling of this large data-flow. With an appropriate data structure, the measurement data and other related information on the monitoring network, the structure and its environment can be organized in a single file that will follow the structure's life in the years. The standardization of a database structure for storing monitoring data also allows the development of re-usable components for data acquisition, data analysis and representation. The use of relational database structures greatly simplifies the quality management and can help in the certification of monitoring systems. This contribution presents a new open and free standard for database structures aiming to the archival of long-term monitoring data (SDB standard). The implementation of this standard in data acquisition, analysis and representation software modules will also be described.

关键词： structural monitoring database

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Progressive and interactive analysis of event data using event miner

Progressive and interactive analysis of event data using eve...

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作者： Ma, Sheng Hellerstein, Joseph L. Perng, Chang-Shing Grabarnik, Genady IBM T.J. Watson Research Center Hawthorne NY 10532 United States

ISBN: (纸本)0769517544

Exploring large data sets typically involves activities that iterate between data selection and data analysis, in which insights obtained from analysis result in new data selection. Further, data analysis needs to use a combination of analysis techniques: data summarization, mining algorithms and visualization. This interweaving of functions arises both from the semantics of what the analyst hopes to achieve and from scalability requirements for dealing with large data volumes. We refer to such a process as a progressive analysis. Herein is described a tool, Event Miner, that integrates data selection, mining and visualization for progressive analysis of temporal, categorical data. We discuss a data model and architecture. We illustrate how our tool can be used for complex mining tasks such as finding patterns not occurring on Monday. Further, we discuss the novel visualization employed, such as visualizing categorical data and the results of data mining. Also, we discuss the extension of the existing mining framework needed to mine temporal events with multiple attributes. Throughout, we illustrate the capabilities of Event Miner by applying it to event data from large computer networks. © 2002 IEEE.

关键词： Miners

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