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

机译:使用泊松克里金法和移动传感器网络识别异常核放射源

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摘要

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.
机译:核安全是公共卫生,反恐努力和国家安全的关键概念。应当对核放射性物质进行近乎实时的监视和保护,以减少恶意使用的潜在危险。然而,在大的地理区域中检测异常的放射源提出了若干挑战。辐射自然发生在环境中。因此,无论是否存在异常放射源,都将始终存在非零辐射水平。另外,辐射数据包含高度不确定性,这意味着测得的辐射值会受到探测器速度和背景噪声的显着影响。在本文中,我们提出了一种创新的方法,该方法使用移动传感器网络结合泊松克里格技术来检测异常辐射源。我们使用模拟放射源进行的多次实验验证了我们的结果。结果,当光源强度高或异常光源离探测器足够近时,模型的精度就非常高。

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