Results 11 to 20 of about 2,281 (217)

On hybrid scenarios in KSTAR

Nuclear Fusion, 2020
We report the status of hybrid scenario experiments in Korea Superconducting Tokamak Advanced Research (KSTAR). The hybrid scenario is defined as stationary discharges with B N >= 2.4 and H_89 >= 2.0 at q_95 < 6.5 without or with very mild sawtooth activities in KSTAR. It is being developed towards reactor-relevant conditions.
Na, Y.S., Lee, Y.H., Byun, C.S., Kim, S.K., Lee, C.Y., Park, M.S., Yang, S.M., Kim, B., Jeon, Y.M., Citrin, J., Choi, G.J., Juhn, J.W., Kang, J.S., Kim, H.S., Kim, J.H., Ko, W.H., Kwon, J.M., Lee, W.C., Woo, M.H., Yi, S., Yoon, S.W., Yun, G.S., Team, KSTAR   +22 more
openaire   +4 more sources

CAD-Based Monte Carlo Neutron Transport KSTAR Analysis for KSTAR [PDF]

EPJ Web of Conferences, 2017
The Monte Carlo (MC) neutron transport analysis for a complex nuclear system such as fusion facility may require accurate modeling of its complicated geometry.
Seo Geon Ho, Choi Sung Hoon, Shim Hyung Jin   +2 more
doaj   +2 more sources

Wall conditioning and ELM mitigation with boron nitride powder injection in KSTAR

Nuclear Materials and Energy, 2021
Results from KSTAR powder injection experiments, in which tens of milligrams of boron nitride (BN) were dropped into low-power H-mode plasmas, show an improvement in wall conditions in subsequent discharges and, in some cases, a reduction or elimination ...
E.P. Gilson, H.H. Lee, A. Bortolon, W. Choe, A. Diallo, S.H. Hong, H.M. Lee, J. Lee, R. Maingi, D.K. Mansfield, A. Nagy, S.H. Park, I.W. Song, J.I. Song, S.W. Yun, S.W. Yoon, R. Nazikian   +16 more
doaj   +2 more sources

Status of LHFW research in KSTAR and Future Plan [PDF]

EPJ Web of Conferences
The LHFW research has been conducted on KSTAR after successful feasibility study on VEST. With a newly developed SWA (Slotted Waveguide Antenna) of 2.45 GHz, for the first time LHFW experiment was carried out in the 2024 KSTAR campaign.
Kim Sunho, Jo Jonggab, Wi Hyunho, Kim Jeehyun, Wang Sonjong   +4 more
doaj   +2 more sources

Motional Stark effect diagnostics for KSTAR [PDF]

Journal of the Korean Physical Society, 2014
The motional Stark effect (MSE) diagnostic is used to measure the radial magnetic pitch-angle profile in neutral-beam-heated plasmas. The diagnostic relies upon the measurement of the polarization direction of Stark-split D-alpha emission from injected fast neutral atoms in a magnetic field.
Chung, Jinil, Ko, J., Howard, John, Michael, Clive, Von Nessi, Gregory, Thorman, Alex, De Bock, M. F. M.   +6 more
openaire   +3 more sources

On FIRE mode in KSTAR

Nuclear Fusion
We report on the status of Fast Ion Regulated Enhancement (FIRE) mode experiments in the Korea Superconducting Tokamak Advanced Research. This regime is being developed for high-performance, steady-state operation which features a stationary ion internal
Yong-Su Na, S.J. Park, H. Han, Janghyeok Lee, C. Heo, S.C. Hong, C. Sung, D. Kim, J. Kang, Y.H. Lee, J. Chung, T.S. Hahm, B. Kim, J.G. Bak, R. Budny, M.S. Cha, G.J. Choi, M.J. Choi, J. Gwak, S.H. Hahn, J. Jang, K.C. Lee, J.H. Kim, S.K. Kim, W.C. Kim, J. Ko, W.H. Ko, C.Y. Lee, J.H. Lee, J.H. Lee, J.K. Lee, J.P. Lee, K.D. Lee, J.-K. Park, J.M. Park, Y.S. Park, J. Seo, S.M. Yang, S.W. Yoon, KSTAR Team   +39 more
doaj   +2 more sources

Design and construction of the KSTAR tokamak

Nuclear Fusion, 2001
The extensive design effort for KSTAR has been focused on two major aspects of the KSTAR project mission - steady-state-operation capability and advanced tokamak physics. The steady state aspect of the mission is reflected in the choice of superconducting magnets, provision of actively cooled in-vessel components, and long pulse current drive and ...
G.S. Lee, M. Kwon, C.J. Doh, B.G. Hong, K. Kim, M.H. Cho, W. Namkung, C.S. Chang, Y.C. Kim, J.Y. Kim, H.G. Jhang, D.K. Lee, K.I. You, J.H. Han, M.C. Kyum, J.W. Choi, J. Hong, W.C. Kim, B.C. Kim, J.H. Choi, S.H. Seo, H.K. Na, H.G. Lee, S.G. Lee, S.J. Yoo, B.J. Lee, Y.S. Jung, J.G. Bak, H.L. Yang, S.Y. Cho, K.H. Im, N.I. Hur, I.K. Yoo, J.W. Sa, K.H. Hong, G.H. Kim, B.J. Yoo, H.C. Ri, Y.K. Oh, Y.S. Kim, C.H. Choi, D.L. Kim, Y.M. Park, K.W. Cho, T.H. Ha, S.M. Hwang, Y.J. Kim, S. Baang, S.I. Lee, H.Y. Chang, W. Choe, S.G. Jeong, S.S. Oh, H.J. Lee, B.H. Oh, B.H. Choi, C.K. Hwang, S.R. In, S.H. Jeong, I.S. Ko, Y.S. Bae, H.S. Kang, J.B. Kim, H.J. Ahn, D.S. Kim, C.H. Choi, J.H. Lee, Y.W. Lee, Y.S. Hwang, S.H. Hong, K.-H. Chung, D.-I. Choi, KSTAR Team   +72 more
core   +5 more sources

Data Mining Strategies for Understanding Birth Patterns in Dairy Cattle: Single and Multiple Birth Analysis. [PDF]

Vet Med Sci
Multiple machine learning algorithms are evaluated to predict multiple birth in dairy cattle using classification techniques. Among 21 models, radial basis function (RBF) and support vector machine (SVM) demonstrate superior performance with the highest accuracy and lowest error rates.
Ghaderi-Zefrehei M, Montazeri-Najafabadi M, Rafeie F, Esfahani EN, Soflaei MRAB, Kafi M, Banabazi MH.   +6 more
europepmc   +2 more sources

Overview of KSTAR initial operation

Nuclear Fusion, 2011
Since the successful first plasma generation in the middle of 2008, three experimental campaigns were successfully made for the KSTAR device, accompanied with a necessary upgrade in the power supply, heating, wall-conditioning and diagnostic systems.
Kwon, M., Oh, Y. K., Yang, H. L., Na, H. K., Kim, Y. S., Kwak, J. G., Kim, W. C., Kim, J. Y., Ahn, J. W., Bae, Y. S., Baek, S. H., Bak, J. G., Bang, E. N., Chang, C. S., Chang, D. H., Chavdarovski, I., Chen, Z. Y., Cho, K. W., Cho, M. H., Choe, W., Choi, J. H., Chu, Y., Chung, K. S., Diamond, P., Do, H. J., Eidietis, N., England, A. C., Grisham, L., Hahm, T. S., Hahn, S. H., Han, W. S., Hatae, T., Hillis, D., Hong, J. S., Hong, S. H., Hong, S. R., Humphrey, D., Hwang, Y. S., Hyatt, A., In, Yongkyoon, Jackson, G. L., Jang, Y. B., Jeon, Y. M., Jeong, J. I., Jeong, N. Y., Jeong, S. H., Jhang, H. G., Jin, J. K., Joung, M., Ju, J., Kawahata, K., Kim, C. H., Kim, D. H., Kim, Hee-Su, Kim, H. S., Kim, H. K., Kim, H. T., Kim, J. H., Kim, J. C., Kim, Jong-Su, Kim, Jung-Su, Kim, Kyung-Min, Kim, K. M., Kim, K. P., Kim, M. K., Kim, S. H., Kim, S. S., Kim, S. T., Kim, S. W., Kim, Y. J., Kim, Y. K., Kim, Y. O., Ko, W. H., Kogi, Y., Kong, J. D., Kubo, S., Kumazawa, R., Kwak, S. W., Kwon, J. M., Kwon, O. J., LeConte, M., Lee, D. G., Lee, D. K., Lee, D. R., Lee, D. S., Lee, H. J., Lee, J. H., Lee, K. D., Lee, K. S., Lee, S. G., Lee, S. H., Lee, S. I., Lee, S. M., Lee, T. G., Lee, W. C., Lee, W. L., Leur, J., Lim, D. S., Lohr, J., Mase, A., Mueller, D., Moon, K. M., Mutoh, T., Na, Y. S., Nagayama, Y., Nam, Y. U., Namkung, W., Oh, B. H., Oh, S. G., Oh, S. T., Park, B. H., Park, D. S., Park, H., Park, H. T., Park, J. K., Park, J. S., Park, K. R., Park, M. K., Park, S. H., Park, S. I., Park, Y. M., Park, Y. S., Patterson, B., Sabbagh, S., Saito, K., Sajjad, S., Sakamoto, K., Seo, D. C., Seo, S. H., Seol, J. C., Shi, Y., Song, N. H., Sun, H. J., Terzolo, L., Walker, M., Wang, S. J., Watanabe, K., Welander, A. S., Woo, H. J., Woo, I. S., Yagi, M., Yaowei, Y., Yonekawa, Y., Yoo, K. I., Yoo, J. W., Yoon, G. S., Yoon, S. W.   +146 more
openaire   +3 more sources

Cross‐project defect prediction method based on genetic algorithm feature selection

Engineering Reports, Volume 5, Issue 12, December 2023., 2023
Applied genetic algorithm to feature selection in software defect prediction technology. Abstract With the continuous development of Internet technology, the role of software in life is increasing, and software defect prediction (SDP) is a key means to ensure software reliability.
Zhixi Hu, Yi Zhu
wiley   +1 more source