U.S. Department of EnergyOffice of Scientific and Technical Information
STAR: Software Toolkit for Analysis Research
Abstract
This paper provides an update on the development of the Software Toolkit for Analysis Research (STAR). The goal of the STAR project is to produce a research tool that facilitates the development and interchange of algorithms for locating phenomena of interest in large quantities of data. The authors have applied this technology to the Space and Atmospheric Burst Reporting System (SAVRS) in support of the Knowledge Fusion Technologies project. Data from satellites was enhanced to contain evidence of nuclear detonations (nudets). the resulting data was analyzed to determine which algorithms were the most effective at detecting nudets; these algorithms will eventually be implemented in hardware to allow processing on board future Global Positioning System satellites. They wanted to not only solve specific problems from within this domain but also to solve them in a computational environment that would permit the developed tools to be applied to new domains or different problems in the same domain. This paper presents an overview of the software developed for this knowledge fusion project. They also present the results of applying the software to the enhanced satellite data.
- Authors:
- Publication Date:
- Research Org.:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE, Washington, DC (United States)
- OSTI Identifier:
- 102220
- Report Number(s):
- LA-UR-95-2123; CONF-950787-78
ON: DE95016870; TRN: AHC29524%%100
- DOE Contract Number:
- W-7405-ENG-36
- Resource Type:
- Conference
- Resource Relation:
- Conference: 36. annual meeting of the Institute for Nuclear Materials Management, Palm Desert, CA (United States), 9-12 Jul 1995; Other Information: PBD: [1995]
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 99 MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS; 45 MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEFENSE; 35 ARMS CONTROL; NUCLEAR EXPLOSION DETECTION; RADIATION DETECTION; DATA PROCESSING; S CODES; RADIATION DETECTORS; DATA ANALYSIS; ALGORITHMS; SATELLITES; DATA TRANSMISSION; TIME-SERIES ANALYSIS
Citation Formats
Doak, J, Prommel, J, and Hoffbauer, B. STAR: Software Toolkit for Analysis Research. United States: N. p., 1995.
Web.
Doak, J, Prommel, J, & Hoffbauer, B. STAR: Software Toolkit for Analysis Research. United States.
Doak, J, Prommel, J, and Hoffbauer, B. 1995.
"STAR: Software Toolkit for Analysis Research". United States. https://www.osti.gov/servlets/purl/102220.
@article{osti_102220,
title = {STAR: Software Toolkit for Analysis Research},
author = {Doak, J and Prommel, J and Hoffbauer, B},
abstractNote = {This paper provides an update on the development of the Software Toolkit for Analysis Research (STAR). The goal of the STAR project is to produce a research tool that facilitates the development and interchange of algorithms for locating phenomena of interest in large quantities of data. The authors have applied this technology to the Space and Atmospheric Burst Reporting System (SAVRS) in support of the Knowledge Fusion Technologies project. Data from satellites was enhanced to contain evidence of nuclear detonations (nudets). the resulting data was analyzed to determine which algorithms were the most effective at detecting nudets; these algorithms will eventually be implemented in hardware to allow processing on board future Global Positioning System satellites. They wanted to not only solve specific problems from within this domain but also to solve them in a computational environment that would permit the developed tools to be applied to new domains or different problems in the same domain. This paper presents an overview of the software developed for this knowledge fusion project. They also present the results of applying the software to the enhanced satellite data.},
doi = {},
url = {https://www.osti.gov/biblio/102220},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Sep 01 00:00:00 EDT 1995},
month = {Fri Sep 01 00:00:00 EDT 1995}
}