Results 91 to 100 of about 2,281 (217)

ANALISA ALGORITMA NAÏVE BAYES, J48, DAN KSTAR UNTUK KLASIFIKASI WARNA

, 2016
ANALYSYS NAÏVE BAYES, J48, AND KSTAR ALGORITHM FOR COLOUR CLASSFICATION FRITZ MERCYANO FANIEL NIM : 1181002 Data mining techniques (Data Mining) is a mining or the new techniques discovery of information to look for patterns or particular rules of a
Faniel, Fritz Mercyano
core   +1 more source

Potential of Machine Learning for Predicting Sleep Disorders: A Comprehensive Analysis of Regression and Classification Models. [PDF]

Diagnostics (Basel), 2023
Alazaidah R, Samara G, Aljaidi M, Haj Qasem M, Alsarhan A, Alshammari M.   +5 more
europepmc   +1 more source

LHCD research activity and system status at KSTAR

, 2014
2
조무현
core  

Test of the ITER-like resonant magnetic perturbation configurations for edge-localized mode crash suppression on KSTAR

, 2019
KSTAR has demonstrated divertor heat flux broadening during edge-localized mode (ELM) crash suppression using ITER-like three-row resonant magnetic perturbation (RMP) for the first time.
In, Yongkyoon, Kim, M., Park, G.Y., Park, Hyeon Keo, Kim, K., 3D Physics Task Force in KSTAR, Park, J.-K., Lee, H.H., Ahn, J.-W., Loarte, A., Jeon, Y.M.   +10 more
core   +1 more source

OVERVIEW OF KSTAR RESULTS IN PHASE-I OPERATION

, 2019
The KSTAR (Korea Superconducting Tokamak Advanced Research) pursued to develop key technologies for superconducting tokamak operation and to contribute to a few research items for ITER relevant issues. As a result, the KSTAR achieved highly confined mode
Leuer, JA, Watanabe, K, Park, YS, Grisham, LR, Delpech, L, Hwang, YS, Kim, JY, Park, MK, Ahn, JW, Park, YM, Walker, M, Chu, Y, Kim, HK, Hoang, TT, Ellis, R, Kim, JS, Park, HK, Kwak, JG, Kim, WC, Kwon, M, Park, JG, Lee, SG, Mueller, D, Yang, HL, Oh, YK, Choe, WH, Na, YS, Oda, Y, Hyatt, AW, Litaudon, X, Joung, SH, Inoue, T, Namkung, W, In, SR, Kajiwara, K, Gorelov, Y, Eidietis, NW, Hosea, J, Bae, YS, Cho, MH, Lohr, J, Sabbagh, SA, Sakamoto, K, Park, KR   +43 more
core   +1 more source

GS-DeepNet: mastering tokamak plasma equilibria with deep neural networks and the Grad-Shafranov equation. [PDF]

Sci Rep, 2023
Joung S, Ghim YC, Kim J, Kwak S, Kwon D, Sung C, Kim D, Kim HS, Bak JG, Yoon SW.   +9 more
europepmc   +1 more source

Plasma-Surface Interaction Activities in KSTAR

, 2013
Selected topics of Plasma-Surface Interaction (PSI) activities in KSTAR are briefly introduced. SOL parameter measurements, particle balance and fuel retention, in-vessel dust research, and finally tungsten R & D are discussed.
Oh, Y. K., Chung, K. S., Yu, Y., Kim, K. P., Nam, Y. U., Rho, T. H., Chu, Y., Hong, S. H., KSTAR Teams, Litnovsky, A., Kim, K. R., Chung, J., Hellwig, M., Bang, E. N., Matveev, D., van den Berg, M. A., Bak, J. G., Kim, W. C., Kim, H. K., Yang, H. L., Oh, Y. S., Komm, M., Park, H. J., Park, K. R.   +23 more
core  

Radiation-front position control with scenario adjustments during the first tungsten divertor operation on KSTAR

Nuclear Fusion
This study reports the first experimental demonstration of a radiation front-based detachment control system during the initial tungsten divertor campaign in KSTAR.
C.S. Byun, S. Oh, S.K. Kim, B.S. Kim, Y.S. Han, S.H. Hahn, H.H. Lee, A. Jalalvand, Y.H. Lee, J.H. Hwang, R. Shousha, J.-S. Park, E. Kolemen   +12 more
doaj   +1 more source

Nonlinear BOUT++ ELM simulation in KSTAR H-mode plasma

, 2017
2
윤건수
core  

Distinct Dynamics of Edge-Localized Modes in KSTAR

, 2016
2
윤건수
core