Paper Info
Title
Detection and classification of liquid explosives using NMR
Abstract
In this work, we present a novel method for non-invasive identification of liquids, for instance to allow for the detection of liquid explosives at airports or border controls. The approach is based on a nuclear magnetic resonance technique with an inhomogeneous magnetic field, forming estimates of the liquid's spin-spin relaxation time, T2, and diffusion constant, D, thereby allowing for a unique classification of the liquid. The proposed detectors are evaluated using both simulated and measured data sets.
Year
DOI
Venue
2009
10.1109/ICASSP.2009.4960268
ICASSP
Keywords
Field
DocType
spin-spin relaxation time,novel method,liquid explosive,border control,non-invasive identification,proposed detector,inhomogeneous magnetic field,unique classification,nuclear magnetic resonance technique,magnetic field,signal to noise ratio,diffusion,magnetic fields,classification,gallium,diffusion constant,probability density function,terrorism,signal processing,explosives,data mining,security,radio frequency,nuclear magnetic resonance,nmr
Signal processing,Magnetic field,Pattern recognition,Biological system,Computer science,Signal-to-noise ratio,Relaxation (NMR),Explosive material,Radio frequency,Artificial intelligence,Fick's laws of diffusion,Detector
Conference
ISSN
Citations 
PageRank 
1520-6149
1
0.48
References 
Authors
1
4
Name
Order
Citations
PageRank
Erik Gudmundson1263.80
Andreas Jakobsson240943.32
I. J. F. Poplett310.48
John A. S. Smith4486.03