DocumentCode :
1131243
Title :
Port-of-Entry Inspection: Sensor Deployment Policy Optimization
Author :
Elsayed, Elsayed A. ; Young, Christina M. ; Xie, Minge ; Zhang, Hao ; Zhu, Yada
Author_Institution :
Dept. of Ind. & Syst. Eng., Rutgers Univ., Piscataway, NJ
Volume :
6
Issue :
2
fYear :
2009
fDate :
4/1/2009 12:00:00 AM
Firstpage :
265
Lastpage :
276
Abstract :
This paper considers the problem of container inspection at a port-of-entry. Containers are inspected through a specific sequence to detect the presence of nuclear materials, biological and chemical agents, and other illegal shipments. The threshold levels of sensors at inspection stations of the port-of-entry affect the probabilities of incorrectly accepting or rejecting a container. In this paper, we present several optimization approaches for determining the optimum sensor threshold levels, while considering misclassification errors, total cost of inspection, and budget constraints. In contrast to previous work which determines threshold levels and sequence separately, we consider an integrated system and determine them simultaneously. Examples applying the approaches in different sensor arrangements are demonstrated.
Keywords :
containers; decision trees; inspection; optimisation; container inspection; optimization; port-of-entry inspection; sensor threshold levels; Container inspection; gamma rays; large-scale systems; network reliability; probability; probability of false accept; probability of false reject; receiver operating characteristic curve; sensor threshold levels; sequences;
fLanguage :
English
Journal_Title :
Automation Science and Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1545-5955
Type :
jour
DOI :
10.1109/TASE.2008.2003348
Filename :
4768618
Link To Document :
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