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Institution

Kyonggi University

EducationSuwon, South Korea
About: Kyonggi University is a education organization based out in Suwon, South Korea. It is known for research contribution in the topics: Catalysis & Dielectric. The organization has 1946 authors who have published 4404 publications receiving 64791 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, graphite powders were coated with ZrO2 by the controlled hydrolysis of a zirconium oxychloride aqueous solution, which was carried out with temperature control.
Abstract: Graphite powders were coated with ZrO2 by the controlled hydrolysis of a zirconium oxychloride aqueous solution. Thehydrolysis process was carried out with temperature control because of the low wettability of ZrO2 to the surface of thegraphite. PVA was added to the solution for the enhancement of Zr ion adsorption. The surface of the graphite particles coatedwith ZrO2 was observed by TEM. There are two types of ZrO2 particles; (a) primary particles a few nm in size and (b) secondary particles with ∼0.1 μm size were obtained. The data of oxidation weight loss and surface potentialshow that the graphite surface was successfully modified by the forced hydrolysis of the zirconium chloride aqueous solution.

41 citations

Journal ArticleDOI
TL;DR: In this article, a correlated function expansion (CFE) is introduced to identify the role of independent and correlated composition variations upon a desired material property, and to provide an efficient means to compute the property throughout the composition space.
Abstract: A correlated function expansion (CFE) is introduced (a) to identify the role of independent and correlated composition variations upon a desired material property, and (b) to provide an efficient means to compute the property throughout the composition space. As an example the contributions of independent and correlated composition behavior upon the principal energy band gaps for the alloys ${\mathrm{Ga}}_{\mathrm{\ensuremath{\alpha}}}{\mathrm{In}}_{1\mathrm{\ensuremath{-}}\mathrm{\ensuremath{\alpha}}}{\mathrm{P}}_{\mathrm{\ensuremath{\beta}}}{\mathrm{As}}_{1\mathrm{\ensuremath{-}}\mathrm{\ensuremath{\beta}}}$ and ${\mathrm{Ga}}_{\mathrm{\ensuremath{\alpha}}}{\mathrm{In}}_{1\mathrm{\ensuremath{-}}\mathrm{\ensuremath{\alpha}}}{\mathrm{P}}_{\mathrm{\ensuremath{\beta}}}{\mathrm{Sb}}_{\mathrm{\ensuremath{\gamma}}}{\mathrm{As}}_{1\mathrm{\ensuremath{-}}\mathrm{\ensuremath{\beta}}\mathrm{\ensuremath{-}}\mathrm{\ensuremath{\gamma}}}$ are calculated and analyzed by applying the CFE to the universal tight-binding (UTB) Hamiltonian model of the alloys. The convergence properties of the CFE over the entire composition variable space (\ensuremath{\alpha},\ensuremath{\beta},\ensuremath{\gamma}) are examined upon including independent, pair-, and triple-correlated terms. By retaining only independent component contributions in the CFE it was possible to represent the UTB results to better than 90% accuracy for both the alloys ${\mathrm{Ga}}_{\mathrm{\ensuremath{\alpha}}}{\mathrm{In}}_{1\mathrm{\ensuremath{-}}\mathrm{\ensuremath{\alpha}}}{\mathrm{P}}_{\mathrm{\ensuremath{\beta}}}{\mathrm{As}}_{1\mathrm{\ensuremath{-}}\mathrm{\ensuremath{\beta}}}$ and ${\mathrm{Ga}}_{\mathrm{\ensuremath{\alpha}}}{\mathrm{In}}_{1\mathrm{\ensuremath{-}}\mathrm{\ensuremath{\alpha}}}{\mathrm{P}}_{\mathrm{\ensuremath{\beta}}}{\mathrm{Sb}}_{\mathrm{\ensuremath{\gamma}}}{\mathrm{As}}_{1\mathrm{\ensuremath{-}}\mathrm{\ensuremath{\beta}}\mathrm{\ensuremath{-}}\mathrm{\ensuremath{\gamma}}}.$ Pair composition correlations contributed approximately 5--10 % to the band gaps in both alloys and for ${\mathrm{Ga}}_{\mathrm{\ensuremath{\alpha}}}{\mathrm{In}}_{1\mathrm{\ensuremath{-}}\mathrm{\ensuremath{\alpha}}}{\mathrm{P}}_{\mathrm{\ensuremath{\beta}}}{\mathrm{Sb}}_{\mathrm{\ensuremath{\gamma}}}{\mathrm{As}}_{1\mathrm{\ensuremath{-}}\mathrm{\ensuremath{\beta}}\mathrm{\ensuremath{-}}\mathrm{\ensuremath{\gamma}}}$ the triple correlations were at the level of $\ensuremath{\sim}3%.$ The CFE is a generic tool capable of simplifying efforts at finding desired alloy compositions for material properties.

41 citations

Journal ArticleDOI
TL;DR: In this article, a reconfigurable rhombus-shaped patch antenna with a Y-shaped feedline for polarization diversity is proposed, which exhibits a simple structure, which consists of two p-i-n diodes, and a Yshaped feed line.
Abstract: In this letter, a reconfigurable rhombus-shaped patch antenna with a Y-shaped feedline for polarization diversity is proposed This antenna exhibits a simple structure, which consists of a rhombus-shaped patch, two p-i-n diodes, and a Y-shaped feedline The two p-i-n diodes are inserted in the gap between the rhombus-shaped patch and the Y-shaped feedline In order to easily supply a dc bias voltage to the p-i-n diodes, a shorting pin is inserted in the center of the rhombus-shaped patch The proposed antenna can be operated in two modes—the left-hand circular polarization (LHCP) and right-hand circular polarization (RHCP) modes—by electrically controlling the two p-i-n diodes The measured 10-dB reflection coefficient and 3-dB axial-ratio bandwidths of the prototype antenna are approximately 562% and 2%, respectively

41 citations

Journal ArticleDOI
TL;DR: In this paper, the authors show that the Ca2+ ions of SCSON:Eu2+ preferentially changed the emission wavelength assigned to Eu(I) and affected the emission intensity.
Abstract: Sr2–y–zCazSi(O1–xNx)4:yEu2+ (SCSON:Eu2+) solid solutions were prepared by substituting N3-, Eu2+, and Ca2+ ions into Sr2SiO4 (SSO). These ions contributed differently to the evolution of luminescence of SCSON:Eu2+. SSON:Eu2+ (z = 0) has two activation centers: Eu(I) and Eu(II). The nitridation effects led to a dramatic change in the crystal field surrounding the Eu(II) site but rarely affected the Eu(I) site. Accordingly, SSON:Eu2+ exhibited broad excitation spectra from ultraviolet to visible wavelengths. In comparison with the Eu(II) green emissions of SSO:Eu2+, the dominant peak wavelengths (DPWs) of the Eu(II) emissions were at red emission regions (605–630 nm), depending on the amount of Eu2+ ions. The Ca2+ ions of SCSON:Eu2+ preferentially changed the emission wavelength assigned to Eu(I) and affected the Eu(II) emission intensity. In addition to the spectral properties, the chromaticity coordinates and a low thermal quenching behavior of SCSON:Eu2+ powders demonstrated that they can be a novel red ...

41 citations

Journal ArticleDOI
TL;DR: In this paper, a novel generative adversarial network (GAN)-based conjugate gradient SENSE (CG-SENSE) reconstruction framework was proposed for motion correction in multishot MRI.
Abstract: Multishot Magnetic Resonance Imaging (MRI) is a promising data acquisition technique that can produce a high-resolution image with relatively less data acquisition time than the standard spin echo. The downside of multishot MRI is that it is very sensitive to subject motion and even small levels of motion during the scan can produce artifacts in the final magnetic resonance (MR) image, which may result in a misdiagnosis. Numerous efforts have focused on addressing this issue; however, all of these proposals are limited in terms of how much motion they can correct and require excessive computational time. In this paper, we propose a novel generative adversarial network (GAN)-based conjugate gradient SENSE (CG-SENSE) reconstruction framework for motion correction in multishot MRI. First CG-SENSE reconstruction is employed to reconstruct an image from the motion-corrupted k-space data and then the GAN-based proposed framework is applied to correct the motion artifacts. The proposed method has been rigorously evaluated on synthetically corrupted data on varying degrees of motion, numbers of shots, and encoding trajectories. Our analyses (both quantitative as well as qualitative/visual analysis) establish that the proposed method is robust and reduces several-fold the computational time reported by the current state-of-the-art technique.

41 citations


Authors

Showing all 1964 results

NameH-indexPapersCitations
Huu Hao Ngo7562424545
Jaejung Ko482148615
Sang-Ho Lee393544991
Hoon Kim376056010
Soon-Gil Yoon363934887
Dinh Duc Nguyen352324313
Soon Woong Chang351644004
Dukjoon Kim352425133
Kun Chang Lee342435077
Ashraf F. Ashour331573745
Hyejin Lee311542894
Kyung-Yong Chung312373089
Eung Soo Kim311913053
Choongwan Koo31982650
Do-Hee Kim301252559
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202311
202235
2021388
2020375
2019341
2018264