DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Cho, Gyuseong | - |
dc.contributor.advisor | 조규성 | - |
dc.contributor.author | Hwang, Jisung | - |
dc.date.accessioned | 2021-05-12T19:33:23Z | - |
dc.date.available | 2021-05-12T19:33:23Z | - |
dc.date.issued | 2020 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=909905&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/283824 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 원자력및양자공학과, 2020.2,[v, 74 p. :] | - |
dc.description.abstract | This thesis study is about an algorithm for the direct calculation of the ambient dose equivalent H$\ast$(10) from the gamma spectra of a spectroscopic electronic personal dosimeter (EPD) using an artificial neural network (ANN). Previous conventional algorithms of spectrum-to-dose conversion have limitations in terms of several aspects including low accuracy in energy range below ~ 300 keV. It leads to need a new approach for spectrum-to-ambient dose equivalent conversion. Therefore, the ANN based dose conversion model is proposed. The proposed ANN model was trained with the simulated spectra of a CsI(Tl)-PIN diode based EPD using Monte Carlo N-particle transport code 6. The results showed that H$\ast$(10) calculated using the ANN is highly consistent with the theoretical H$\ast$(10) in simulation test and is comparable performance with G(E) function method in experimental test. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Artificial neural networks▼aSpectrum-to-ambient dose conversion▼aElectronic personal dosimeter▼aAmbient dose equivalent▼aMCNP6 simulation▼aHyper-parameter optimization | - |
dc.subject | 인공신경망▼a스펙트럼-주위선량당량 환산▼a전자식 개인 선량계▼a주위선량당량▼aMCNP6 시뮬레이션▼a하이퍼파라미터 최적화 | - |
dc.title | $\gamma$ spectrum-dose conversion algorithm using artificial neural networks for spectroscopic EPD | - |
dc.title.alternative | 분광형 전자식 개인 선량계를 위한 인공신경망 기반의 감마스펙트럼-선량 변환 알고리즘 연구 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :원자력및양자공학과, | - |
dc.contributor.alternativeauthor | 황지성 | - |
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