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  • Space Sciences (General)  (3)
  • Chemistry and Materials (General)  (1)
  • Computer Systems; Earth Resources and Remote Sensing  (1)
  • Cybernetics, Artificial Intelligence and Robotics; Earth Resources and Remote Sensing  (1)
  • 2015-2019  (4)
  • 2005-2009  (2)
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  • 1
    Publication Date: 2019-07-13
    Description: No abstract available
    Keywords: Space Sciences (General)
    Type: JSC-E-DAA-TN68134 , Interagency Debris Coordination Meeting; May 07, 2019 - May 10, 2019; Rome; Italy
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  • 2
    Publication Date: 2019-07-13
    Description: No abstract available
    Keywords: Computer Systems; Earth Resources and Remote Sensing
    Type: MSFC-E-DAA-TN50091 , AGU Fall Meeting; Dec 11, 2017 - Dec 15, 2017; New Orleans, LA; United States
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  • 3
    Publication Date: 2019-11-23
    Description: No abstract available
    Keywords: Space Sciences (General)
    Type: JSC-E-DAA-TN75035 , Interagency Debris Coordination Meeting; Nov 19, 2019; Teleconference
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  • 4
    Publication Date: 2019-07-12
    Description: There is a need to develop a new technique of damage detection for composites, which could detect cracking or delamination from any desired location within a material structure in real time. Recently, triboluminescent materials have been proposed as smart sensors of structural damage. To sense the damage, these materials can be epoxy bonded, coated in a polymer matrix, or embedded in a composite host structure. When the damage or fracture takes place in the host structure, the resultant fracture of triboluminescent crystals creates a light emission. This will warn in real time that structural damage has occurred. The triboluminescent emission of the candidate phosphor has to be bright enough that the light reaching from the point of fracture to the detector through a fiber optic cable is detectable. There are a large number of triboluminescent materials, but few satisfy the above criterion. The authors have synthesized an organic material known as Europium tetrakis (dibenzoylmethide) triethylammonium (EuD4TEA), which is a potential candidate for application as a damage sensor and could be made into a wireless sensor with the addition of microchip, antenna, and electronics. Preliminary results on the synthesis and characterization of this material are presented.
    Keywords: Chemistry and Materials (General)
    Type: NASA/TM-2008-215410 , M-1230
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  • 5
    Publication Date: 2019-07-19
    Description: A significant scientific benefit of establishing and maintaining long-term space plasma data archives is the ready access the archives afford to resources required for characterizing spacecraft design environments. Space systems must be capable of operating in the mean environments driven by climatology as well as the extremes that occur during individual space weather events. Long- term time series are necessary to obtain quantitative information on environment variability and extremes that characterize the mean and worst case environments that may be encountered during a mission. In addition, analysis of large data sets are important to scientific studies of flux limiting processes that provide a basis for establishing upper limits to environment specifications used in radiation or charging analyses. We present applications using data from existing archives and highlight their contributions to space environment models developed at Marshall Space Flight Center including the Chandra Radiation Model, ionospheric plasma variability models, and plasma models of the L2 space environment.
    Keywords: Space Sciences (General)
    Type: M09-0769 , 2009 American Geophysical Union Fall Meeting; 14-16 De. 2009; San Francisco, CA; United States
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  • 6
    Publication Date: 2019-07-13
    Description: Deep learning has revolutionized computer vision and natural language processing with various algorithms scaled using high-performance computing. At the NASA Marshall Space Flight Center (MSFC), the Data Science and Informatics Group (DSIG) has been using deep learning for a variety of Earth science applications. This paper provides examples of the applications and also addresses some of the challenges that were encountered.
    Keywords: Cybernetics, Artificial Intelligence and Robotics; Earth Resources and Remote Sensing
    Type: MSFC-E-DAA-TN51352 , IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018); Jul 22, 2018 - Jul 27, 2018; Valencia; Spain
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