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  • 1
    Publication Date: 2019-07-12
    Description: XCALIBR (XML Capability Analysis LIBRary) is a set of Extensible Markup Language (XML) database and spreadsheet- based analysis software tools designed to assist in technology-return-on-investment analysis and optimization of technology portfolios pertaining to outer-space missions. XCALIBR is also being examined for use in planning, tracking, and documentation of projects. An XCALIBR database contains information on mission requirements and technological capabilities, which are related by use of an XML taxonomy. XCALIBR incorporates a standardized interface for exporting data and analysis templates to an Excel spreadsheet. Unique features of XCALIBR include the following: It is inherently hierarchical by virtue of its XML basis. The XML taxonomy codifies a comprehensive data structure and data dictionary that includes performance metrics for spacecraft, sensors, and spacecraft systems other than sensors. The taxonomy contains 〉700 nodes representing all levels, from system through subsystem to individual parts. All entries are searchable and machine readable. There is an intuitive Web-based user interface. The software automatically matches technologies to mission requirements. The software automatically generates, and makes the required entries in, an Excel return-on-investment analysis software tool. The results of an analysis are presented in both tabular and graphical displays.
    Keywords: Man/System Technology and Life Support
    Type: NPO-41911 , NASA Tech Briefs, March 2009; 13
    Format: application/pdf
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  • 2
    Publication Date: 2019-07-13
    Description: A hierarchical Extensible Markup Language(XML) database called XCALIBR (XML Analysis LIBRary) has been developed by Millennium Program to assist in technology investment (ROI) analysis and technology Language Capability the New return on portfolio optimization. The database contains mission requirements and technology capabilities, which are related by use of an XML dictionary. The XML dictionary codifies a standardized taxonomy for space missions, systems, subsystems and technologies. In addition to being used for ROI analysis, the database is being examined for use in project planning, tracking and documentation. During the past year, the database has moved from development into alpha testing. This paper describes the lessons learned during construction and testing of the prototype database and the motivation for moving from an XML taxonomy to a standard XML-based ontology.
    Type: IEEE Aerospace Conference; Mar 05, 2005 - Mar 12, 2005; Big Sky, MT; United States
    Format: text
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  • 3
    Publication Date: 2019-07-13
    Description: In late 2005 the NASA Earth Science Technology Office convened a working group to review decadal-term technology needs for Earth science active optical remote sensing objectives. The outcome from this effort is intended to guide future NASA investments in laser remote sensing technologies. This paper summarizes the working group findings and places them in context with the conclusions of the National Research Council assessment of Earth science needs, completed in 2007.
    Keywords: Earth Resources and Remote Sensing
    Type: SPIE Remote Sensing Symposium; Sep 17, 2007 - Sep 21, 2007; Florence; Italy
    Format: application/pdf
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  • 4
    Publication Date: 2019-07-13
    Description: The authors describe their experiences at a major space engineering university (the University of Texas at Austin) in the use of graduate level design courses and projects to produce information and tools that are of use to undergraduate design classes, graduate students, and industry. The information produced to date includes a spacecraft subsystems information document, a mission design tool (a FORTRAN subroutine library), a series of space mission characterizations, and a set of spacecraft characterizations.
    Keywords: SOCIAL SCIENCES (GENERAL)
    Type: AIAA PAPER 93-1080 , ; 7 p.|AIAA, AHS, and ASEE, Aerospace Design Conference; Feb 16, 1993 - Feb 19, 1993; Irvine, CA; United States
    Format: text
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