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Title: Anomaly metrics to differentiate threat sources from benign sources in primary vehicle screening.

Abstract

Discrimination of benign sources from threat sources at Port of Entries (POE) is of a great importance in efficient screening of cargo and vehicles using Radiation Portal Monitors (RPM). Currently RPM's ability to distinguish these radiological sources is seriously hampered by the energy resolution of the deployed RPMs. As naturally occurring radioactive materials (NORM) are ubiquitous in commerce, false alarms are problematic as they require additional resources in secondary inspection in addition to impacts on commerce. To increase the sensitivity of such detection systems without increasing false alarm rates, alarm metrics need to incorporate the ability to distinguish benign and threat sources. Principal component analysis (PCA) and clustering technique were implemented in the present study. Such techniques were investigated for their potential to lower false alarm rates and/or increase sensitivity to weaker threat sources without loss of specificity. Results of the investigation demonstrated improved sensitivity and specificity in discriminating benign sources from threat sources.

Authors:
;
Publication Date:
Research Org.:
Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1029822
Report Number(s):
SAND2011-6827
TRN: US201201%%231
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; CARGO; DETECTION; ENERGY RESOLUTION; METRICS; MONITORS; RADIATIONS; RADIOACTIVE MATERIALS; SENSITIVITY; SPECIFICITY; TRADE

Citation Formats

Cohen, Israel Dov, and Mengesha, Wondwosen. Anomaly metrics to differentiate threat sources from benign sources in primary vehicle screening.. United States: N. p., 2011. Web. doi:10.2172/1029822.
Cohen, Israel Dov, & Mengesha, Wondwosen. Anomaly metrics to differentiate threat sources from benign sources in primary vehicle screening.. United States. https://doi.org/10.2172/1029822
Cohen, Israel Dov, and Mengesha, Wondwosen. Thu . "Anomaly metrics to differentiate threat sources from benign sources in primary vehicle screening.". United States. https://doi.org/10.2172/1029822. https://www.osti.gov/servlets/purl/1029822.
@article{osti_1029822,
title = {Anomaly metrics to differentiate threat sources from benign sources in primary vehicle screening.},
author = {Cohen, Israel Dov and Mengesha, Wondwosen},
abstractNote = {Discrimination of benign sources from threat sources at Port of Entries (POE) is of a great importance in efficient screening of cargo and vehicles using Radiation Portal Monitors (RPM). Currently RPM's ability to distinguish these radiological sources is seriously hampered by the energy resolution of the deployed RPMs. As naturally occurring radioactive materials (NORM) are ubiquitous in commerce, false alarms are problematic as they require additional resources in secondary inspection in addition to impacts on commerce. To increase the sensitivity of such detection systems without increasing false alarm rates, alarm metrics need to incorporate the ability to distinguish benign and threat sources. Principal component analysis (PCA) and clustering technique were implemented in the present study. Such techniques were investigated for their potential to lower false alarm rates and/or increase sensitivity to weaker threat sources without loss of specificity. Results of the investigation demonstrated improved sensitivity and specificity in discriminating benign sources from threat sources.},
doi = {10.2172/1029822},
url = {https://www.osti.gov/biblio/1029822}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2011},
month = {9}
}