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Author Alamaniotis, M. ♦ Young, J. ♦ Perry, J. ♦ Xiao, S. ♦ Agarwal, V. ♦ Forsberg, P. ♦ Gao, R. ♦ Choi, C. ♦ Tsoukalas, L.H. ♦ Jevremovic, T.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2009
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Containers ♦ Terrorism ♦ Safety ♦ Weapons ♦ Intelligent control ♦ Decision making ♦ Humans ♦ Detection algorithms ♦ Fuzzy logic ♦ Power system modeling ♦ fuzzy logic ♦ detection of nuclear materials
Abstract Detection of special nuclear material (SNM) hidden in cargo containers is considered to be one of the major challenges for homeland security. SNM impose a significant threat for public safety since they can be converted into nuclear weaponry and used for potential terrorist attacks. In this paper we present who we can fill the existing gap in quickly but accurately detecting hidden SNM. Synergism of Monte Carlo methods and intelligent control paradigm provides a novel frame for automated cargo interrogation and final decision making. Human operator is assumed to not be the part of the procedure while the powerful detection algorithms are used with fuzzy logic tools to indicate whether the container should be singled out for manual search or not. In this paper the general frame of our so called iMASS (intelligent Model Assisted Sensing System) is presented.
ISBN 9781424456192
ISSN 10823409
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2009-11-02
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 396.77 kB
Page Count 4
Starting Page 679
Ending Page 682


Source: IEEE Xplore Digital Library