Loss-pattern identification in near-real-time accounting systems
Conference
·
OSTI ID:6723719
To maximize the benefits from an advanced safeguards technique such as near-real-time accounting (NRTA), sophisticated methods of analyzing sequential materials accounting data are necessary. The methods must be capable of controlling the overall false-alarm rate while assuring good power of detection against all possible diversion scenarios. A method drawn from the field of pattern recognition and related to the alarm-sequence chart appears to be promising. Power curves based on Monte Carlo calculations illustrate the improvements over more conventional methods. 3 figures, 2 tables.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- DOE Contract Number:
- W-7405-ENG-36
- OSTI ID:
- 6723719
- Report Number(s):
- LA-UR-82-2780; CONF-821119-4; ON: DE83000605
- Resource Relation:
- Conference: International symposium on recent advances in nuclear materials safeguards, Nienna, Australia, 8 Nov 1982; Other Information: Portions of document are illegible
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
98 NUCLEAR DISARMAMENT, SAFEGUARDS, AND PHYSICAL PROTECTION
NUCLEAR MATERIALS DIVERSION
DETECTION
NUCLEAR MATERIALS MANAGEMENT
ACCOUNTING
ALGORITHMS
MONTE CARLO METHOD
REAL TIME SYSTEMS
SAFEGUARDS
MANAGEMENT
MATHEMATICAL LOGIC
055001* - Nuclear Fuels- Safeguards
Inspection
& Accountability- Technical Aspects
NUCLEAR MATERIALS DIVERSION
DETECTION
NUCLEAR MATERIALS MANAGEMENT
ACCOUNTING
ALGORITHMS
MONTE CARLO METHOD
REAL TIME SYSTEMS
SAFEGUARDS
MANAGEMENT
MATHEMATICAL LOGIC
055001* - Nuclear Fuels- Safeguards
Inspection
& Accountability- Technical Aspects