The coverage and detection limit of a sampling point for robotics radiation mapping
The sensor coverage problem aims to maximize the coverage of a target area with a fixed or minimum number of sensors. However, the sampling point coverage for radiation mapping has yet to be specified or adequately established. When dealing with unknown radiation fields, it is critical that the plac...
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my.uniten.dspace-339822024-10-14T11:17:34Z The coverage and detection limit of a sampling point for robotics radiation mapping Abd Rahman N.A. Mohamed Sahari K.S. Baharuddin M.Z. 57855445300 57218170038 35329255600 Detection limit Mobile robot Radiation mapping Radiation sampling point Sampling point coverage Mobile robots Detection limits Hotspots Point coverage Radiation mapping Radiation maps Radiation sampling point Sampling point coverage Sampling points Sensor coverage problem Article computer simulation dosimetry gamma irradiation isotope analysis limit of detection mathematical computing mathematical model radiation detection radiation dose radiation field radiation mapping radiological parameters robotics sensitivity analysis Mapping The sensor coverage problem aims to maximize the coverage of a target area with a fixed or minimum number of sensors. However, the sampling point coverage for radiation mapping has yet to be specified or adequately established. When dealing with unknown radiation fields, it is critical that the placements of sampling points will ensure that all hotspots are detected and accurately identified. Therefore, the concept of coverage and detection limit for a sampling point in radiation mapping is proposed in this paper. The proposed concept relates the angular dependency of the radiation measurement instruments with the detector detection limit or minimum detectable amount (MDA). To demonstrate the implementation, the concept is used to compute the sensitivity of the radiation map for coverage radiation mapping with mobile robot. Simulation results showed that hotspots with intensity equal to or above the sampling point detection limit were successfully detected regardless of their position within the coverage circle. Moreover, the experimental results of coverage radiation mapping showed that the concept can be used to compute the resolution of the radiation map. This will help the user to efficiently configure the appropriate grid size that suit their mapping situation and requirements. � 2023 Elsevier Ltd Final 2024-10-14T03:17:34Z 2024-10-14T03:17:34Z 2023 Article 10.1016/j.apradiso.2023.110968 2-s2.0-85166673634 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166673634&doi=10.1016%2fj.apradiso.2023.110968&partnerID=40&md5=8828184b4d69dbce9f826d12ddce2238 https://irepository.uniten.edu.my/handle/123456789/33982 200 110968 Elsevier Ltd Scopus |
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Detection limit Mobile robot Radiation mapping Radiation sampling point Sampling point coverage Mobile robots Detection limits Hotspots Point coverage Radiation mapping Radiation maps Radiation sampling point Sampling point coverage Sampling points Sensor coverage problem Article computer simulation dosimetry gamma irradiation isotope analysis limit of detection mathematical computing mathematical model radiation detection radiation dose radiation field radiation mapping radiological parameters robotics sensitivity analysis Mapping |
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Detection limit Mobile robot Radiation mapping Radiation sampling point Sampling point coverage Mobile robots Detection limits Hotspots Point coverage Radiation mapping Radiation maps Radiation sampling point Sampling point coverage Sampling points Sensor coverage problem Article computer simulation dosimetry gamma irradiation isotope analysis limit of detection mathematical computing mathematical model radiation detection radiation dose radiation field radiation mapping radiological parameters robotics sensitivity analysis Mapping Abd Rahman N.A. Mohamed Sahari K.S. Baharuddin M.Z. The coverage and detection limit of a sampling point for robotics radiation mapping |
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The sensor coverage problem aims to maximize the coverage of a target area with a fixed or minimum number of sensors. However, the sampling point coverage for radiation mapping has yet to be specified or adequately established. When dealing with unknown radiation fields, it is critical that the placements of sampling points will ensure that all hotspots are detected and accurately identified. Therefore, the concept of coverage and detection limit for a sampling point in radiation mapping is proposed in this paper. The proposed concept relates the angular dependency of the radiation measurement instruments with the detector detection limit or minimum detectable amount (MDA). To demonstrate the implementation, the concept is used to compute the sensitivity of the radiation map for coverage radiation mapping with mobile robot. Simulation results showed that hotspots with intensity equal to or above the sampling point detection limit were successfully detected regardless of their position within the coverage circle. Moreover, the experimental results of coverage radiation mapping showed that the concept can be used to compute the resolution of the radiation map. This will help the user to efficiently configure the appropriate grid size that suit their mapping situation and requirements. � 2023 Elsevier Ltd |
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57855445300 |
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57855445300 Abd Rahman N.A. Mohamed Sahari K.S. Baharuddin M.Z. |
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Article |
author |
Abd Rahman N.A. Mohamed Sahari K.S. Baharuddin M.Z. |
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Abd Rahman N.A. |
title |
The coverage and detection limit of a sampling point for robotics radiation mapping |
title_short |
The coverage and detection limit of a sampling point for robotics radiation mapping |
title_full |
The coverage and detection limit of a sampling point for robotics radiation mapping |
title_fullStr |
The coverage and detection limit of a sampling point for robotics radiation mapping |
title_full_unstemmed |
The coverage and detection limit of a sampling point for robotics radiation mapping |
title_sort |
coverage and detection limit of a sampling point for robotics radiation mapping |
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Elsevier Ltd |
publishDate |
2024 |
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1814061160958263296 |
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13.222552 |