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Identifying anomalous nuclear radioactive sources using Poisson kriging and mobile sensor networks

Nuclear security is a critical concept for public health, counter-terrorism efforts, and national security. Nuclear radioactive materials should be monitored and secured in near real-time to reduce potential danger of malicious usage. However, several challenges have arose to detect the anomalous ra...

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Detalles Bibliográficos
Autores principales: Zhao, Jifu, Zhang, Zhe, Sullivan, Clair J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6493762/
https://www.ncbi.nlm.nih.gov/pubmed/31042771
http://dx.doi.org/10.1371/journal.pone.0216131
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author Zhao, Jifu
Zhang, Zhe
Sullivan, Clair J.
author_facet Zhao, Jifu
Zhang, Zhe
Sullivan, Clair J.
author_sort Zhao, Jifu
collection PubMed
description Nuclear security is a critical concept for public health, counter-terrorism efforts, and national security. Nuclear radioactive materials should be monitored and secured in near real-time to reduce potential danger of malicious usage. However, several challenges have arose to detect the anomalous radioactive source in a large geographical area. Radiation naturally occurs in the environment. Therefore, a non-zero level of radiation will always exist with or without an anomalous radioactive source present. Additionally, radiation data contain high levels of uncertainty, meaning that the measured radiation value is significantly affected by the velocity of the detector and background noise. In this article, we propose an innovative approach to detect anomalous radiation source using mobile sensor networks combined with a Poisson kriging technique. We validate our results using several experiments with simulated radioactive sources. As results, the accuracy of the model is extremely high when the source intensity is high or the anomalous source is close enough to the detector.
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spelling pubmed-64937622019-05-17 Identifying anomalous nuclear radioactive sources using Poisson kriging and mobile sensor networks Zhao, Jifu Zhang, Zhe Sullivan, Clair J. PLoS One Research Article Nuclear security is a critical concept for public health, counter-terrorism efforts, and national security. Nuclear radioactive materials should be monitored and secured in near real-time to reduce potential danger of malicious usage. However, several challenges have arose to detect the anomalous radioactive source in a large geographical area. Radiation naturally occurs in the environment. Therefore, a non-zero level of radiation will always exist with or without an anomalous radioactive source present. Additionally, radiation data contain high levels of uncertainty, meaning that the measured radiation value is significantly affected by the velocity of the detector and background noise. In this article, we propose an innovative approach to detect anomalous radiation source using mobile sensor networks combined with a Poisson kriging technique. We validate our results using several experiments with simulated radioactive sources. As results, the accuracy of the model is extremely high when the source intensity is high or the anomalous source is close enough to the detector. Public Library of Science 2019-05-01 /pmc/articles/PMC6493762/ /pubmed/31042771 http://dx.doi.org/10.1371/journal.pone.0216131 Text en © 2019 Zhao et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Zhao, Jifu
Zhang, Zhe
Sullivan, Clair J.
Identifying anomalous nuclear radioactive sources using Poisson kriging and mobile sensor networks
title Identifying anomalous nuclear radioactive sources using Poisson kriging and mobile sensor networks
title_full Identifying anomalous nuclear radioactive sources using Poisson kriging and mobile sensor networks
title_fullStr Identifying anomalous nuclear radioactive sources using Poisson kriging and mobile sensor networks
title_full_unstemmed Identifying anomalous nuclear radioactive sources using Poisson kriging and mobile sensor networks
title_short Identifying anomalous nuclear radioactive sources using Poisson kriging and mobile sensor networks
title_sort identifying anomalous nuclear radioactive sources using poisson kriging and mobile sensor networks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6493762/
https://www.ncbi.nlm.nih.gov/pubmed/31042771
http://dx.doi.org/10.1371/journal.pone.0216131
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