Automated Data Processing (ADP) research and development

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Monitoring a comprehensive test ban treaty (CTBT) will require screening tens of thousands of seismic events each year. Reliable automated data analysis will be essential in keeping up with the continuous stream of events that a global monitoring network will detect. We are developing automated event location and identification algorithms by looking at the gaps and weaknesses in conventional ADP systems and by taking advantage of modem computational paradigms. Our research focus is on three areas: developing robust algorithms for signal feature extraction, integrating the analysis of critical measurements, and exploiting joint estimation techniques such as using data from acoustic, ... continued below

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10 p.

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Dowla, F.U.; Kohlhepp, V.N. & Leach, R.R. Jr. July 1, 1995.

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Description

Monitoring a comprehensive test ban treaty (CTBT) will require screening tens of thousands of seismic events each year. Reliable automated data analysis will be essential in keeping up with the continuous stream of events that a global monitoring network will detect. We are developing automated event location and identification algorithms by looking at the gaps and weaknesses in conventional ADP systems and by taking advantage of modem computational paradigms. Our research focus is on three areas: developing robust algorithms for signal feature extraction, integrating the analysis of critical measurements, and exploiting joint estimation techniques such as using data from acoustic, hydroacoustic, and seismic sensors. We identify several important problems for research and development; e.g., event location with approximate velocity models and event identification in the presence of outliers. We are employing both linear and nonlinear methods and advanced signal transform techniques to solve these event monitoring problems. Our goal is to increase event-interpretation throughput by employing the power and efficiency of modem computational techniques, and to improve the reliability of automated analysis by reducing the rates of false alarms and missed detections.

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10 p.

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OSTI as DE95016592

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  • 16. international conference on amorphous semiconductors, Kobe (Japan), 4-8 Sep 1995

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  • Other: DE95016592
  • Report No.: UCRL-JC--121747
  • Report No.: CONF-950921--8
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 110774
  • Archival Resource Key: ark:/67531/metadc623588

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Office of Scientific & Technical Information Technical Reports

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

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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  • July 1, 1995

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  • June 16, 2015, 7:43 a.m.

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  • Feb. 18, 2016, 11:43 a.m.

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Dowla, F.U.; Kohlhepp, V.N. & Leach, R.R. Jr. Automated Data Processing (ADP) research and development, article, July 1, 1995; California. (digital.library.unt.edu/ark:/67531/metadc623588/: accessed November 25, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.