Title :
Engineering Solution to Nuclear Material Detection at Ports: Introducing the Novel iMASS Paradigm
Author :
Alamaniotis, M. ; Young, J. ; Perry, J. ; Xiao, S. ; Agarwal, V. ; Forsberg, P. ; Gao, R. ; Choi, C. ; Tsoukalas, L.H. ; Jevremovic, T.
Author_Institution :
Sch. of Nucl. Eng., Purdue Univ., West Lafayette, IN, USA
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.
Keywords :
Monte Carlo methods; freight handling; fuzzy control; intelligent control; Monte Carlo methods; automated cargo interrogation; fuzzy logic; homeland security; intelligent control paradigm; intelligent model assisted sensing system; port cargo material detection; special nuclear material detection; Containers; Decision making; Detection algorithms; Fuzzy logic; Humans; Intelligent control; Power system modeling; Safety; Terrorism; Weapons; detection of nuclear materials; fuzzy logic;
Conference_Titel :
Tools with Artificial Intelligence, 2009. ICTAI '09. 21st International Conference on
Conference_Location :
Newark, NJ
Print_ISBN :
978-1-4244-5619-2
Electronic_ISBN :
1082-3409
DOI :
10.1109/ICTAI.2009.94