Analysis of integrated video and radiation data

Conference · Sat Jul 01 00:00:00 EDT 1995

OSTI ID:95130

Howell, J A; Menlove, H O; Rodriguez, C A; Beddingfield, D; Vasil, A

We have developed prototype software for a facility-monitoring application that will detect anomalous activity in a nuclear facility. The software, which forms the basis of a simple model, automatically reviews and analyzes integrated safeguards data from continuous unattended monitoring systems. This technology, based on pattern recognition by neural networks, provides significant capability to analyze complex data and has the ability to learn and adapt to changing situations. It is well suited for large automated facilities, reactors, spent-fuel storage facilities, reprocessing plants, and nuclear material storage vaults.

• Research Organization: Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: W-7405-ENG-36
• OSTI ID: 95130
• Report Number(s): LA-UR-95-2050; CONF-950787-73; ON: DE95015282; TRN: 95:018541
• 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

Related Subjects

05 NUCLEAR FUELS
99 MATHEMATICS
COMPUTERS
INFORMATION SCIENCE
MANAGEMENT
LAW
MISCELLANEOUS
NUCLEAR FACILITIES
MONITORING
V CODES
RADIATION MONITORS
DATA ANALYSIS
VIDEO TAPES
SAFEGUARDS
NUCLEAR MATERIALS MANAGEMENT
PATTERN RECOGNITION
NEURAL NETWORKS
REAL TIME SYSTEMS
RADIATION MONITORING
NEUTRON MONITORS
TESTING
ALGORITHMS