Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Wonku Kim"'
A counting-time optimization method for artificial neural network (ANN) based gamma-ray spectroscopy
Publikováno v:
Nuclear Engineering and Technology, Vol 56, Iss 7, Pp 2690-2697 (2024)
With advancements in machine learning technologies, artificial neural networks (ANNs) are being widely used to improve the performance of gamma-ray spectroscopy based on NaI(Tl) scintillation detectors. Typically, the performance of ANNs is evaluated
Externí odkaz:
https://doaj.org/article/c036aaa808b14df99a3c9e419e4e309a
Publikováno v:
Nuclear Engineering and Technology, Vol 55, Iss 7, Pp 2432-2437 (2023)
Methodology for suppressing or recovering the distorted spectra, which may occur due to mutual non-uniformity and nonlinear response when a multi-detector is simultaneously operated for gamma spectroscopy, is presented with respect to its applicabili
Externí odkaz:
https://doaj.org/article/09490dae07ad4932ab8c0ce3d95b9b82
Publikováno v:
Nuclear Engineering and Technology, Vol 54, Iss 3, Pp 1037-1048 (2022)
A radioactive isotope identification algorithm is a prerequisite for a low-resolution scintillation detector applied to an unmanned radiation monitoring system. In this paper, a sparse representation with dictionary learning approach is proposed and
Externí odkaz:
https://doaj.org/article/a1f0dcc0527842d394e30012af068deb
Autor:
Kilyoung Ko, Hyunwoong Choi, Yongsun Yi, Wonku Kim, Junhyeok Kim, Jisung Hwang, Eunbie Ko, Gyuseong Cho
Publikováno v:
Sensors, Vol 21, Iss 21, p 7040 (2021)
There has been considerable interest in inorganic scintillators based on lutetium due to their favorable physical properties. Despite their advantages, lutetium-based scintillators could face issues because of the natural occurring radioisotope of 17
Externí odkaz:
https://doaj.org/article/decc5b503c164ff1ad660a164d30fd9a
Publikováno v:
Nuclear Engineering and Technology. 54:1037-1048
A radioactive isotope identification algorithm is a prerequisite for a low-resolution scintillation detector applied to an unmanned radiation monitoring system. In this paper, a sparse representation with dictionary learning approach is proposed and
Autor:
Hyunwoong Choi, Jisung Hwang, Wonku Kim, Junhyeok Kim, Kilyoung Ko, Gyuseong Cho, Eunbie Ko, Yongsun Yi
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 21
Sensors, Vol 21, Iss 7040, p 7040 (2021)
Sensors
Volume 21
Issue 21
Sensors, Vol 21, Iss 7040, p 7040 (2021)
There has been considerable interest in inorganic scintillators based on lutetium due to their favorable physical properties. Despite their advantages, lutetium-based scintillators could face issues because of the natural occurring radioisotope of 17