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

Zhao, Jifu; Zhang, Zhe; Sullivan, Clair J.

doi:10.1371/journal.pone.0216131

Cited by 27 publications

(6 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…N. Rao et al (Rao et al, 2015) suggested a Particle Filter algorithm, where it has been used in a border monitoring scenario. A geostatistical interpolation method that uses the given measurements to estimate positions where data were not collected based on Poisson kriging is presented (Zhao et al, 2019). Fragkos et al (2020) developed a fusion algorithm based on an analytical procedure for five sensors.…”

Section: Introductionmentioning

confidence: 99%

Particle Filter Based Range Search Approach for Localization of Radioactive Materials

Mahmoud

el-Hamid

2022

Front. Energy Res.

View full text Add to dashboard Cite

Wireless Sensor Networks (WSNs) have recently become crucial in monitoring operations. The development of a Data Fusion Algorithm for radioactive source localization utilizing WSN based on the Particle Filter (PF) technique is presented. The localization of an unknown-intensity point radioactive source using sensor nodes measured intensities in Count per Minute (CPM) is considered. The surveillance area is covered by several sensors (radiation detectors) n. Instead of using four sensors, as described in previous research, two consecutive sensors are used in sequence (S1, S2), (S2, S3)……, (Sn-1, Sn) till reaching the last sensor available Sn. Apollonius circle calculated range guides a particle filter for estimating the source location using actual measurements. Compared with other approaches such as the Iterative Pruning Clustering algorithm, more accurate estimates in terms of the error between the estimated source position and ground truth are obtained. The comparison is conducted using the same real measurements data. The Particle Filter based algorithm is implemented in a Xilinx FPGA chip. The architecture is a two sequential steps implementation, where particle generation, weight calculation, and normalization are carried out in parallel during the first step, followed by a sequential or parallelized resampling in the second step. This architecture targets a balance between hardware resources and speed of operation. The future work plan includes security-related studies and complete WSN implementation using μC/FPGA devices.

show abstract

Section: Introductionmentioning

confidence: 99%

Particle Filter Based Range Search Approach for Localization of Radioactive Materials

Mahmoud

el-Hamid

2022

Front. Energy Res.

View full text Add to dashboard Cite

show abstract

“…The search of radioactive sources using mobile sensor networks was proposed in References [ 91 , 92 ], using Poisson Krigin techniques for the spatial distribution of radiation levels and source location, and in Reference [ 93 ], adopting a Bayesian framework and a sequential Monte Carlo for parameters estimation.…”

Section: Mobile Radiation Detection Systemsmentioning

confidence: 99%

State-of-the-Art Mobile Radiation Detection Systems for Different Scenarios

Marques

Vale

Vaz

2021

Sensors

View full text Add to dashboard Cite

In the last decade, the development of more compact and lightweight radiation detection systems led to their application in handheld and small unmanned systems, particularly air-based platforms. Examples of improvements are: the use of silicon photomultiplier-based scintillators, new scintillating crystals, compact dual-mode detectors (gamma/neutron), data fusion, mobile sensor networks, cooperative detection and search. Gamma cameras and dual-particle cameras are increasingly being used for source location. This study reviews and discusses the research advancements in the field of gamma-ray and neutron measurements using mobile radiation detection systems since the Fukushima nuclear accident. Four scenarios are considered: radiological and nuclear accidents and emergencies; illicit traffic of special nuclear materials and radioactive materials; nuclear, accelerator, targets, and irradiation facilities; and naturally occurring radioactive materials monitoring-related activities. The work presented in this paper aims to: compile and review information on the radiation detection systems, contextual sensors and platforms used for each scenario; assess their advantages and limitations, looking prospectively to new research and challenges in the field; and support the decision making of national radioprotection agencies and response teams in respect to adequate detection system for each scenario. For that, an extensive literature review was conducted.

show abstract

“…In few recent decades the issues of radiation safety are becoming increasingly important. This is caused by the various reasons [2] including essential increasing the nuclear waste, expansion of the areas of contaminated land, intensive use of nuclear materials in military [3] and civilian purposes, operation of power plants containing the nuclear reactors (nuclear plants, submarines, 1049 (2022) 012015 IOP Publishing doi:10.1088/1755-1315/1049/1/012015 2 missiles, and etc. ), increasing a number of terrorist attacks and level of their preparation.…”

Section: Introductionmentioning

confidence: 99%

“…• in contrast to the manned vehicles, UAVs do not require special strict regulations or permissions, there are less problem with pilot's safety; • UAVs can provide more detail explorations of the areas with complicated reliefs or obstacles [2,12,13]; • their exploitation is less expensive;…”

Section: Introductionmentioning

confidence: 99%

Mathematical aspects of remote assessment of the radiation state of contaminated areas

Zabulonov

Popov²,

Skurativskyi³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

The use of radioactive materials is widespread in scientific investigations and various sectors of the economy. There are also extremely radiation-hazardous objects, for instance the well-known Chornobyl Exclusion Zone (Chornobyl, Ukraine) covering the large contaminated areas and the Shelter Object containing the materials of huge radioactivity of about 20 MCi. To safe handling with such objects and materials, the correct their monitoring, detection and characteristics evaluation are vital. The modern development of small flying machines, measurement equipment, and information technologies allow one to increase the amount of measurement data and their accuracy, and to reduce the processing time. On the other hand, the requirements to accuracy, quickness, and correctness of data interpretation increase as well. To solve these problems effectively, the mathematical tools of data processing should be improved. The main mathematical problem at the remote evaluation of radioactive fields relates to the solving the inverse problem for the Fredholm integral of the first kind. In this research, we consider the reconstruction of surface density of gamma radiation on the ground using the data of aerial shooting. We survey the methods for solving the inverse problem, their advantages and disadvantages. The adaptation of the methods to the reconstruction of nonstationary discontinuous radioactive fields is presented. We modify the numerical algorithms using the opportunities of modern calculating software. In particular, it is considered the task when the algorithm reconstructs the density distribution very well.

show abstract

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

Cited by 27 publications

References 25 publications

Particle Filter Based Range Search Approach for Localization of Radioactive Materials

Particle Filter Based Range Search Approach for Localization of Radioactive Materials

State-of-the-Art Mobile Radiation Detection Systems for Different Scenarios

Mathematical aspects of remote assessment of the radiation state of contaminated areas

Contact Info

Product

Resources

About