Results 11 to 20 of about 2,015 (219)

KSTAR ECH System Development Progress [PDF]

open access: yesEPJ Web of Conferences
The KSTAR ECH system has been upgraded to ensure steady-state advanced operation of KSTAR. The planned ECHs include a total of six 1 MW, 300 s ECH systems, of which four 105/140 GHz dual frequency systems have been commissioned and are being used in ...
Joung Mi   +5 more
doaj   +3 more sources

On hybrid scenarios in KSTAR [PDF]

open access: yesNuclear 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.   +22 more
openaire   +4 more sources

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

open access: yesNuclear 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   +16 more
doaj   +2 more sources

Motional Stark effect diagnostics for KSTAR [PDF]

open access: yesJournal 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   +6 more
core   +6 more sources

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

open access: yesEPJ 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   +4 more
doaj   +3 more sources

Interpretable Artificial Intelligence for Analysing Changes in Gases in the Uterine Environment of Cows According to Physiological Structures in the Ovary. [PDF]

open access: yesVet Med Sci
‐ The relationship between the gases in a cow's uterine environment and its ovarian physiological structures. ‐ The sunflower optimisation algorithm (SFOA) deployed in a device called Metrisör ‐ The data from this study may enable the development of a new estrus detection method for cows ABSTRACT The objective of the present study was to examine the ...
Risvanli A   +11 more
europepmc   +2 more sources

KSTAR Supplementary Data [PDF]

open access: yes, 2021
This contains all raw data and predictions of the studies covered in the KSTAR publication. Data folders are broken up based on figures and match KSTAR data folder structures for results.
Kristen Naegle (8206152)
core   +1 more source

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

open access: yesEngineering 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

The measurement of carbon density profile using charge exchange spectroscopy in KSTAR

open access: yesAIP Advances, 2022
The first measurement of the impurity density profile via charge exchange spectroscopy (CES) has been successfully achieved in KSTAR. Since the neutral beam density profile is essential for the measurement, the neutral beam penetration code that was ...
J. K. Lee   +6 more
doaj   +1 more source

Investigating the performance of machine learning algorithms in predicting the survival of COVID‐19 patients: A cross section study of Iran

open access: yesHealth Science Reports, Volume 6, Issue 4, April 2023., 2023
Abstract Background and Aims Like early diagnosis, predicting the survival of patients with Coronavirus Disease 2019 (COVID‐19) is of great importance. Survival prediction models help doctors be more cautious to treat the patients who are at high risk of dying because of medical conditions.
Azita Yazdani   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy