The Knowledge Base Interface for Parametric Grid Information

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The parametric grid capability of the Knowledge Base (KBase) provides an efficient robust way to store and access interpolatable information that is needed to monitor the Comprehensive Nuclear Test Ban Treaty. To meet both the accuracy and performance requirements of operational monitoring systems, we use an approach which combines the error estimation of kriging with the speed and robustness of Natural Neighbor Interpolation. The method involves three basic steps: data preparation, data storage, and data access. In past presentations we have discussed in detail the first step. In this paper we focus on the latter two, describing in detail the ... continued below

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9 p.

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Hipp, James R.; Simons, Randall W. & Young, Chris J. August 3, 1999.

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  • Sandia National Laboratories
    Publisher Info: Sandia National Labs., Albuquerque, NM, and Livermore, CA (United States)
    Place of Publication: Albuquerque, New Mexico

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Description

The parametric grid capability of the Knowledge Base (KBase) provides an efficient robust way to store and access interpolatable information that is needed to monitor the Comprehensive Nuclear Test Ban Treaty. To meet both the accuracy and performance requirements of operational monitoring systems, we use an approach which combines the error estimation of kriging with the speed and robustness of Natural Neighbor Interpolation. The method involves three basic steps: data preparation, data storage, and data access. In past presentations we have discussed in detail the first step. In this paper we focus on the latter two, describing in detail the type of information which must be stored and the interface used to retrieve parametric grid data from the Knowledge Base. Once data have been properly prepared, the information (tessellation and associated value surfaces) needed to support the interface functionality, can be entered into the KBase. The primary types of parametric grid data that must be stored include (1) generic header information; (2) base model, station, and phase names and associated ID's used to construct surface identifiers; (3) surface accounting information; (4) tessellation accounting information; (5) mesh data for each tessellation; (6) correction data defined for each surface at each node of the surfaces owning tessellation (7) mesh refinement calculation set-up and flag information; and (8) kriging calculation set-up and flag information. The eight data components not only represent the results of the data preparation process but also include all required input information for several population tools that would enable the complete regeneration of the data results if that should be necessary.

Physical Description

9 p.

Notes

INIS; OSTI as DE00009689

Medium: P; Size: 9 pages

Source

  • 21st Seismic Research Symposium: Technologies for Monitoring the CNTBT, Las Vegas, NV (US), 09/21/1999--09/24/1999

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  • Report No.: SAND99-2008C
  • Grant Number: AC04-94AL85000
  • Office of Scientific & Technical Information Report Number: 9689
  • Archival Resource Key: ark:/67531/metadc791788

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Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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  • August 3, 1999

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  • Dec. 19, 2015, 7:14 p.m.

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  • April 11, 2017, 7:38 p.m.

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Hipp, James R.; Simons, Randall W. & Young, Chris J. The Knowledge Base Interface for Parametric Grid Information, article, August 3, 1999; Albuquerque, New Mexico. (digital.library.unt.edu/ark:/67531/metadc791788/: accessed October 17, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.