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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chang, C.L. He, M. Nguyen, M.H. |
| Copyright Year | 2010 |
| Description | Author affiliation: Electrical Engineering Department, California State University, Long Beach, Long Beach, CA 90840 USA (Chang, C.L.) || Computer Engineering and Science Department, California State University, Long Beach, Long Beach, CA 90840 USA (He, M.; Nguyen, M.H.) |
| Abstract | A US law mandating non-intrusive imaging and radiation detection by 2012 for 100% of US-bound containers at international ports has provoked widespread concern that the resulting congestion would hinder trade significantly. To address this issue, we present as a viable alternative an advanced computational model to implement computer automation for dual-energy X-ray imaging technique to detect and recognize nuclear and radiological material smuggled in cargo containers. Successful computer automation enables the dual-energy X-ray imaging technique to efficiently sense and recognize radiological and/or nuclear materials, especially shielded Highly Enriched Uranium (HEU), with high detection accuracy, a low positive-false-alarm rate, and negligible impact on freight movement. Thus, dual-energy X-ray inspection can feasibly be used to efficiently inspect 100% of cargo containers entering the US. |
| Starting Page | 556 |
| Ending Page | 561 |
| File Size | 641836 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424460472 |
| e-ISBN | 9781424460489 |
| DOI | 10.1109/THS.2010.5654985 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-11-08 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Materials Inspection Containers Attenuation Data mining X-ray imaging Engines |
| Content Type | Text |
| Resource Type | Article |
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