scholarly journals Radioisotope identification using sparse representation with dictionary learning approach for an environmental radiation monitoring system

Author(s):  
Junhyeok Kim ◽  
Daehee Lee ◽  
Jinhwan Kim ◽  
Giyoon Kim ◽  
Jisung Hwang ◽  
...  
2020 ◽  
Vol 67 (10) ◽  
pp. 2224-2230
Author(s):  
Dinh Tien Hung ◽  
Cao Van Hiep ◽  
Pham Dinh Khang ◽  
Nguyen Xuan Hai ◽  
Nguyen Ngoc Anh ◽  
...  

2021 ◽  
Vol 23 (3) ◽  
pp. 91
Author(s):  
Jupiter Sitorus Pane ◽  
Pande Made Udiyani ◽  
Muhammad Budi Setiawan ◽  
Surip Widodo ◽  
I Putu Susila

Environmental radiation monitoring is one of the important efforts in protecting society and the environment from radiation hazards, both natural and artificial. The presence of three nuclear research reactors and plans to build a nuclear power plant reactor prompted Indonesia to prepare a radiation monitoring system for safety and security (SPRKK). The goal of the study is to provide an appropriate method for developing radiation monitoring system to support the development of nuclear power plant in the near future.  For this preliminary study, the author developed a code program using Gaussian distribution model approach for predicting radionuclide release and individual dose acceptancy by human being within 16 wind directions sectors and up to 50 km distance. The model includes estimation of source term from the nuclear installation, release of radionuclides source into air following Gaussian diffusion model, some of the release deposit to the land and entering human being through inhalation, direct external exposure, and resuspension, and predicted its accepted individual dose. This model has been widely used in various code program such as SimPact and PC-Cosyma. For this study, the model will be validated using SimPact code program. The model has been successfully developed with less than 5% deviation.   Further study will be done by evaluating the model with real measuring data from research reactor installation and prepare for interfacing with real time radiation data acquisition and monitoring as part of radiation monitoring system during normal and accident condition.


2020 ◽  
Vol 189 (1) ◽  
pp. 56-62
Author(s):  
Michał Biegała ◽  
Teresa Jakubowska

Abstract This paper aims to determine the levels of exposure to neutron and photon radiation among the personnel engaged in cyclotron operation and the personnel engaged in the production of radiopharmaceuticals, with the use of the environmental radiation monitoring system (RMS) installed in the positron emission tomography laboratory. The annual exposures of employees operating the cyclotron measured with the use of the RMS system are: 1.39 ± 0.16 mSv in case of photon radiation and 2.61 ± 0.14 mSv in case of neutron radiation. In the case of employees in the radiopharmaceuticals’ production zone, the annual exposures measured by means of the RMS system are 0.15 ± 0.03 mSv in case of photon radiation and 0.11 ± 0.01 mSv in case of neutron radiation. The exposure levels among the personnel engaged in cyclotron operation and the personnel engaged in the production of radiopharmaceuticals are below the permissible radiation dose limits.


2015 ◽  
Vol 18 (3) ◽  
pp. 29-35
Author(s):  
Nhan Thi Thanh Doan ◽  
Hai Hong Vo ◽  
Hung Quoc Nguyen

In this report, we present the development of an environmental radiation monitoring system. The system includes Inspector+ dose meter, FPGA board, and LabVIEW interface. In the electronic board using FPGA, the embedded VHDL program is developed for FPGA board. Its functions are to accumulate pulse signals from the Inspector+, transmit data to the computer. Computer interface is written on LabVIEW platform. Its functions are to receive data from FPGA board, plot data, store data, as well as control the FPGA board. We evaluate the response of the system by using a standard pulse generator. With this system, we carry out the measurement of environmental background radiation in two experimental rooms and outside at Nuclear physics Department, University of Science, VNU-HCMC.


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