Results 1 to 10 of about 4,253 (208)

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

open access: yesEPJ 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   +2 more
doaj   +2 more sources

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   +2 more sources

Observation of a new type of self-generated current in magnetized plasmas [PDF]

open access: yesNature Communications, 2022
Fusion devices like tokamaks require plasma current to generate magnetic field for plasma confinement. Here the authors report an observation of a self-generated anomalous current that contributes up to 30% of the total current in the fusion plasma at ...
Yong-Su Na   +21 more
doaj   +2 more sources

Developing machine learning frameworks to predict mechanical properties of ultra-high performance concrete mixed with various industrial byproducts [PDF]

open access: yesScientific Reports
This research investigates the predictive modeling of ultra-high-performance concrete (UHPC) incorporating industrial byproducts, focusing on compressive strength (Fc), flexural strength (Ff), workability (Slump), and porosity.
Kennedy C. Onyelowe   +7 more
doaj   +2 more sources

AI-driven predictions of geophysical river flows with vegetation [PDF]

open access: yesScientific Reports
In river research, forecasting flow velocity accurately in vegetated channels is a significant challenge. The forecasting performance of various independent and hybrid machine learning (ML) models are thus quantified for the first time in this work ...
Sanjit Kumar   +8 more
doaj   +2 more sources

Mechanical properties of self compacting concrete reinforced with hybrid fibers and industrial wastes under elevated heat treatment [PDF]

open access: yesScientific Reports
Machine learning prediction of the mechanical properties of self-compacting concrete (SCC) reinforced with hybrid fibers, incorporating industrial wastes like fly ash and blast furnace slag, and cured under elevated heat provides a reliable and efficient
Kennedy C. Onyelowe   +8 more
doaj   +2 more sources

The Use of Digital Color Imaging and Machine Learning for the Evaluation of the Effects of Shade Drying and Open-Air Sun Drying on Mint Leaf Quality

open access: yesApplied Sciences, 2022
The objective of this study was to reveal the usefulness of image processing and machine learning for the non-destructive evaluation of the changes in mint leaves caused by two natural drying techniques.
Ewa Ropelewska   +2 more
doaj   +1 more source

Neutron diagnostics using nickel foil activation analysis in the KSTAR

open access: yesNuclear Engineering and Technology, 2021
The spatial distribution and the energy spectrum of the neutron yield were investigated with the neutron activation analysis and MCNP simulation was carried out to verify the analysis results and to extend the results to a 3D mapping of the neutron yield
San Chae, Jae-Yong Lee, Yong-Soo Kim
doaj   +1 more source

Ekstraksi Fitur Tekstur dan Warna pada Kulit Katak Menggunakan GLCM dan Momen Warna

open access: yesJurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer, 2022
Anura is an order in the Amphibian class consisting of frogs and toads. Anura is very important in the ecosystem, especially its role as part of the food chain. Anura's main role is to maintain the balance of the ecosystem and as a bioindicator agent for
Atika Kurniasari   +2 more
doaj   +1 more source

Characterization of the impurity features deposited on the boronization tungsten tiles exposed in KSTAR tokamak using laser-induced breakdown spectroscopy

open access: yesNuclear Materials and Energy, 2022
Boronization is an important wall conditioning procedure for realizing the steady-state high performance operation of tokamaks such as KSTAR and ITER. The measurement of boron and its distribution on the first wall and divertor has a significant impact ...
Liying Sun   +9 more
doaj   +1 more source

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