Detection of drugs and explosives using neutron computerized tomography and artificial intelligence techniques

被引：22
作者：
Ferreira, F. J. O. [1 ]
Crispim, V. R. [2 ]
Silva, A. X. [2 ]
机构：
[1] Inst Engn Nucl, BR-21945970 Rio De Janeiro, Brazil
[2] Univ Fed Rio de Janeiro, DNC Poli, PEN COPPE CT, BR-21941972 Rio De Janeiro, Brazil
来源：
APPLIED RADIATION AND ISOTOPES | 2010年 / 68卷 / 06期
关键词：
Detect illicit drugs and explosives; Real time neutron radiography; Artificial intelligence techniques;
D O I：
10.1016/j.apradiso.2010.01.019
中图分类号：
O61 [无机化学];
学科分类号：
070301 ; 081704 ;
摘要：
In this study the development of a methodology to detect illicit drugs and plastic explosives is described with the objective of being applied in the realm of public security. For this end, non-destructive assay with neutrons was used and the technique applied was the real time neutron radiography together with computerized tomography. The system is endowed with automatic responses based upon the application of an artificial intelligence technique. In previous tests using real samples, the system proved capable of identifying 97% of the inspected materials. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1012 / 1017
页数：6
相关论文
共 15 条
  • [1] CASALI F, 1992, P 4 WORLD C NEUTR RA, P481
  • [2] CRISPIM VR, 1993, THESIS DCOTORATE COP
  • [3] Fast neutron radiography scanner for the detection of contraband in air cargo containers
    Eberhardt, JE
    Rainey, S
    Stevens, RJ
    Sowerby, BD
    Tickner, JR
    [J]. APPLIED RADIATION AND ISOTOPES, 2005, 63 (02) : 179 - 188
  • [4] Ferrari J.R., 2004, North American Journal of Psychology, V6, P1
  • [5] Gonzalez R.C., 2002, DIGITAL IMAGE PROCES
  • [6] The role of neutron based inspection techniques in the post 9/11/01 era
    Gozani, T
    [J]. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIONS WITH MATERIALS AND ATOMS, 2004, 213 : 460 - 463
  • [7] Haykin S., 1999, Neural Networks: A Comprehensive Foundation, DOI DOI 10.1017/S0269888998214044
  • [8] Hinton D.E. Rumelhar. G.E., 1986, MICROSTRUCTURES COGN, V1, P318
  • [9] MULTILAYER FEEDFORWARD NETWORKS ARE UNIVERSAL APPROXIMATORS
    HORNIK, K
    STINCHCOMBE, M
    WHITE, H
    [J]. NEURAL NETWORKS, 1989, 2 (05) : 359 - 366
  • [10] HUGLES DJ, 1955, BNL325, P46
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