2022
DOI: 10.3390/s22103919
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Real-Time Monitoring Method for Radioactive Substances Using Monolithic Active Pixel Sensors (MAPS)

Abstract: This study presents a real-time monitoring technique for radioactive substances that meets safety management needs. We studied the accumulation characteristics of radiation response signals of monolithic active pixel sensors (MAPSs) based on their response and discrimination ability to gamma (γ) photon or neutron radiation. The radiation status of the radioactive substances was determined by monitoring the accumulation data of radiation responses. As per the results, Am-Be and 252Cf radiation response signals … Show more

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Cited by 2 publications
(2 citation statements)
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“…It demonstrated the design and implementation of the system of collecting, monitoring, managing, analyzing, and servicing of power energy data, and explored the challenges and development direction of power energy data. Han et al presents the design and implementation of a cloud computingbased electricity demand response system for large users, which takes advantage of the elasticity, scalability, and low cost of www.ijacsa.thesai.org cloud computing to build a distributed electricity demand response platform, realizing real-time monitoring, analysis, and response to the electricity demand of large users, and providing data support and intelligent services for the scheduling and optimization of the power system [19]. A method for analyzing and identifying the electricity consumption behavior of large users based on the fusion of multi-source data is proposed, which utilizes multi-source data such as the electricity consumption data, electricity consumption contract, and electricity consumption equipment of large users, and provides an effective means for the supervision and service of the electricity consumption of large users [20].…”
Section: Literature Reviewmentioning
confidence: 99%
“…It demonstrated the design and implementation of the system of collecting, monitoring, managing, analyzing, and servicing of power energy data, and explored the challenges and development direction of power energy data. Han et al presents the design and implementation of a cloud computingbased electricity demand response system for large users, which takes advantage of the elasticity, scalability, and low cost of www.ijacsa.thesai.org cloud computing to build a distributed electricity demand response platform, realizing real-time monitoring, analysis, and response to the electricity demand of large users, and providing data support and intelligent services for the scheduling and optimization of the power system [19]. A method for analyzing and identifying the electricity consumption behavior of large users based on the fusion of multi-source data is proposed, which utilizes multi-source data such as the electricity consumption data, electricity consumption contract, and electricity consumption equipment of large users, and provides an effective means for the supervision and service of the electricity consumption of large users [20].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Neutron [6] and gamma [7] radiation sensors for radwaste drum monitoring have already been developed and have proven feasible within the EU MICADO project [8]. However, the use of a wired online monitoring configuration for a real radwaste storage site would be a limitation, and this is why a wireless solution should be aimed at addressing the issue in [9]. In this paper, we describe the development of a wireless sensor, featuring a gamma-ray counter and a compact front-end and data acquisition electronics box, to be easily installed on a drum.…”
Section: Introductionmentioning
confidence: 99%