Browse "NE-Conference Papers(학술회의논문)" by Author Kwak, Sehyun
Showing results 1 to 19 of 19
| Bayesian based missing input imputation scheme for neural network reconstructing magnetic equilibria in real time Joung, Semin; Kim, Jaewook; Kwak, Sehyun; Park, Kyeo-reh; Jeon, YM; Hahn, SH; Han, HS; et al, 22nd Topical Conference on High Temperature Plasma Diagnostics, American Institute of Physics, 2018-04-19 |
| Bayesian inference for edge electron density profiles from the JET Li-BES data Kwak, Sehyun; Svensson, J; Brix, M; Ghim, Young chul; Contributors, JET, Deutsche Physikalische Gesellschaft Spring Meeting, Deutsche Physikalische Gesellschaft, 2016-02-29 |
| Bayesian inference of electron temperature and density profiles from JET high resolution Thomson scattering and interferometer data Kwak, Sehyun; Svensson, J.; Bozhenkov, J.; Flanagan, J.; Kempenaars, M.; Ghim, Young-chul, Deutsche Physikalische Gesellschaft Spring Meeting, German Physical Society, 2017-03-13 |
| Bayesian magnetic signal inference from KSTAR for neural network accelerated equilibria reconstruction model Joung, Semin; Kwak, Sehyun; Ghim, Young-chul, KSTAR Conference 2018, National Fusion Research Institute, 2018-02-22 |
| Bayesian modeling of multiple diagnostics at Wendelstein 7-X using Minerva framework Kwak, Sehyun; Svensson, J.; Bozhenkov, S.; Mora, H.; Hofel, U.; Pavone, A.; Krychowiak, M.; et al, 59th Annual Meeting of the APS Division of Plasma Physics, American Physical Society, 2017-10-24 |
| Bayesian modelling inference of multiple diagnostic systems at Wendelstein 7-X in the Minerva framework Kwak, Sehyun; Svensson, J.; Bozhenkov. S.; Trimino Mora, H.; Hofel, U.; Pavone, A.; Krychowiak, M.; et al, KSTAR Conference 2018, National Fusion Research Institute, 2018-02-22 |
| Bayesian modelling of spectrum data: A way to remove beam modulations Kwak, Sehyun; Svensson, J; Brix, M; Ghim, Young chul; Contributors, JET, KSTAR Conference 2016, National Fusion Research Institute, 2016-02-24 |
| Data-driven Grad-Shafranov solver with KSTAR EFIT data based on neural network and Bayesian inference Joung, Semin; Kim, Jaewook; Kwak, Sehyun; Jeon, YM; Hahn, SH; Han, HS; Kim, HS; et al, 3rd IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis, IAEA, 2019-05-29 |
| Electron density and temperature inference using Bayesian analysis on KSTAR Thomson scattering system with fast sampling digitizers Ghim, Young-chul; Kwak, Sehyun; Park, KyeoReh; Kim, KeonHee; Svensson, Jakob; Bozhenkov, S; Lee, Jong Ha, KSTAR Conference 2017, National Fusion Research Institute, 2017-01-19 |
| Equilibrium reconstruction based on the neural network algorithm in real time Kwak, Sehyun; Jeon, Young-mu; Ghim, Young-chul, KSTAR Conference, National Fusion Research Institute, 2014-02-25 |
| Feasibility study of direct spectra measurements for Thomson scattered signals for KSTAR fusion-grade plasmas Park, KyeoReh; Kim, KeonHee; Kwak, Sehyun; Svensson, J.; Lee, J.H.; Ghim, Young-chul, 18th International Symposium on Laser-Aided Plasma Diagnostics, International Symposium on Laser-Aided Plasma Diagnostics, 2017-09-25 |
| Neural network based real-time reconstruction of KSTAR magnetic equilibria with Bayesian-based preprocessing Joung, Semin; Kwak, Sehyun; Jeon, Y.M.; Hahn, S.H.; Han, H.S.; Kim, H.S.; Bak, J.G.; et al, 59th Annual Meeting of the APS Division of Plasma Physics, American Physical Society, 2017-10-26 |
| Neural network for real-time plasma equilibrium reconstruction and imputation of missing magnetic signals based on Bayesian analysis in KSTAR Joung, Semin; Kwak, Sehyun; Park, KyeoReh; Ghim, Young-chul, KSTAR Conference 2017, National Fusion Research Institute, 2017-01-19 |
| Neural network magnetic equilibrium reconstruction with Bayesian based preprocessor in KSTAR Joung, Semin; Kwak, Sehyun; Jeon, Y.M.; Hahn, S.H.; Han, H.S.; Kim, H.S.; Bak, J.G.; et al, 11th IAEA Technical Meeting on Control, Data Acquisition, and Remote Participation for Fusion Research, IAEA, 2017-05-09 |
| Plasma equilibrium reconstruction for real-time control using artificial neural network in KSTAR Joung, S; Kwak, Sehyun; Ghim, Young chul, KSTAR Conference 2016, National Fusion Research Institute, 2016-02-24 |
| Real-time EFIT data reconstruction based on neural network in KSTAR Kwak, Sehyun; Jeon, YoungMu; Ghim, Young-chul, 56th Annual Meeting of the APS Division of Plasma Physics, American Physical Society, 2014-10-29 |
| Reconstruction of electron density profile using Bayesian inference on Li-BES data Kwak, Sehyun; Svensson, Jakob; Brix, Mathias; Bawa'aneh, M.S.; Ghim, Young-chul; contributors, JET, KSTAR Conference, National Fusion Research Institute, 2015-02-25 |
| Research on improving techniques of inducing, collecting and utilizing scattered photons for the KSTAR Thomson scattering system Ghim, Young-chul; Cho, Kyuman; Kim, KeonHee; Park, KyeoReh; Kwak, Sehyun; Oh, TaeSuk; Lee, JongHa, 한국물리학회 추계학술대회, 한국물리학회, 2017-10-26 |
| Sensitivity test of atomic data utilized in Li-BES data analysis using Bayesian inference Jeong, Chung sun; Kwak, Sehyun; Svensson, J; Brix, M; Ghim, Young Chul, Korean Nuclear Society Spring Conference, Korean Nuclear Society, 2016-05-13 |
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