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...
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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.
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 visualiza...
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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.
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 ...
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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-independe...
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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.
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 o...
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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, dataanalysis 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.
Exploring large data sets typically involves activities that iterate between data selection and dataanalysis, in which insights obtained from analysis result in new data selection. Further, dataanalysis needs to use...
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Marsoweb is a collaborative web environment that has been developed for the Mars research community to better visualize and analyze Mars orbiter data. Its goal is to enable online data discovery by providing an intuit...
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ISBN:
(纸本)0819448095
Marsoweb is a collaborative web environment that has been developed for the Mars research community to better visualize and analyze Mars orbiter data. Its goal is to enable online data discovery by providing an intuitive, interactive interface to data from the Mars Global Surveyor and other orbiters. Recently, it has served a prominent role as a resource center for those involved in landing site selection for the Mars Explorer Rover 2003 missions. In addition to hosting a repository of landing site memoranda and workshop talks, it includes a Java-based interface to a variety of datamaps and images. This interface enables the display and numerical querying of data, and allows data profiles to be rendered from user-drawn cross-sections. High-resolution Mars Orbiter Camera (MOC) images (currently, over 100,000) can be graphically perused;browser-based image processing tools can be used on MOC images of potential landing sites. An automated VRML atlas allows users to construct "flyovers" of their own regions-of-interest in 3D. These capabilities enable Marsoweb to be used for general global data studies, in addition to those specific to landing site selection. As of September 2002, over 70,000 distinct users from NASA, USGS, academia, and the general public have accessed Marsoweb.
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