• 자원리싸이클링
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• 제6권1호
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• pp.17-22
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• 1997

미립의 자성/비자성 입자의 혼합분체로부터 자성 입자만을 연속적으로 분리할 수 있는 전자석 유동층이 제안되었고 본 선별기에 의해 분리된 입자분중 자성 분율에 대한 공탑 가스유속, 혼합분체내 자성 입자의 분율(=100-비자성 입자의 분율) 및 전자석으로 공급되는 전류 세기와 같은 조업변수의 영향이 규명되었다. 전자석 유동층에 의한 자성 분리는 미립의 혼합분체내 자성입자에 작용하는 전자서의 자력이 분체를 유동화시키는 가스흐름으로 인한 유체력보다 클 때 가능함이 밝혀졌다.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 1999년도 춘계학술대회 논문집
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• pp.59-72
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• 1999

In this thesis, we measured the Barkhausen effect of CoFeSiB amorphous ribbon and then investigated its possibility to be used as a sensor material. We used a sample of composition $($Fe_{0.06}$$Co_{0.94}$)_${0.79}$$Si_{2.1}$$B_{18.9}$ with a thickness 12[pm1, width 2.5[rnml and length 5[cm], which was fabricated by a single roll method. In order to improve magnetic characteristics of the sample, we had carried on annealing in the magnetic field and in none magnetic field. And, experimented results to the magnetic characteristics show that the ribbon has large Barkhausen jump even in weak magnetic field below 0.5[0el. From the results, we confirmed that the sample can be used as an magnetic sensor material.

• Journal of Magnetics
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• 제14권3호
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• pp.104-107
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• 2009

The effects of the magnetic property variation on current-induced magnetization switching in magnetic tunnel junction with perpendicular magnetic anistoropy (PMA) and the soft magnetic polarization-enhancement layers (PELs) inserted between the layers with PMA and the MgO layer was studied. A micromatnetic model was used to estimate the switching time of the free layer by different applied current densities, with changing saturation magnetization ($M_s$) of the PELs, interlayer exchange coupling between PMA layers and PELs. The switching time could be significantly reduced at low current densities, by increasing $M_s$ of PELs and decreasing interlayer exchange coupling.

• Journal of Electrical Engineering and Technology
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• 제2권1호
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• pp.102-105
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• 2007

Effects of $Ag_2O$ doping on the electromagnetic properties in the BiSrCaCuO superconductors. The electromagnetic properties of the $Ag_2O$ doped and undoped BiSrCaCuO superconductor were evaluated to investigate the contribution of the pinning centers to the magnetic effect. It was confirmed experimentally that a large amount of magnetic flux was trapped in the $Ag_2O$ doped sample than that in the undoped one, indicating that the pinning centers of magnetic flux are related closely to the occurrence of the magnetic effect. It is considered that the area where normal conduction takes place increases by adding $Ag_2O$ and the magnetic flux penetrating through the sample increases. The results suggested that Ag acts to increase the pinning centers of the magnetic flux, contributing to the occurrence of the electromagnetic properties.

• 한국소성가공학회:학술대회논문집
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• 한국소성가공학회 2008년도 춘계학술대회 논문집
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• pp.305-308
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• 2008

In this paper, the magnetic domain states and recordability of the molded magnetic nanopillars were examined and analyzed by magnetic force microscopy (MFM) measurement. We focused on the some of the technical issues for MFM measurement regarding the lift height and geometry of the MFM tip. The effects of MFM tip shape and lift height on the MFM resolution were analyzed. Finally, we showed that the magnetic film on each molded nanopillars has a single magnetic domain state.

• 천문학회보
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• 제44권2호
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• pp.47.3-47.3
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• 2019

In this talk, we present numerical simulations of driven hydrodynamic and magnetohydrodynamic (MHD) turbulence with weak/strong imposed magnetic fields. We mainly focus on turbulence driven compressively (∇ × f = 0). Our main goal is to examine how magnetic fields play a role in generating solenoidal modes in compressive turbulence. From our simulation analysis, we find that solenoidal energy densities in hydrodynamic and weak magnetic field cases are generated up to ~ 30% of total ones. On the other hand, in the case of strong magnetic fields, solenoidal energy densities are excited up to ~ 70%. To interpret the results, we further analyze vorticity (w = ∇ × u) equation and find that magnetic fields directly create solenoidal motions, and magnetic tension is most effective in this sense. In hydrodynamic simulations, however, we find that viscous dissipation provides vorticity seeds at the very early stage and they are amplified via stretching process. Lastly, in weak magnetic fields cases, we find that solenoidal motions are created by the effects of magnetic fields, viscosity, and stretching in conjunction.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2002년도 춘계학술대회 논문집
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• pp.267-270
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• 2002

The accuracy and the dynamic bandwidth are the two most important indices that an inductive position sensor is evaluated with. Eddy currents and magnetic hysteresis affect both of these performance indices. As the modulation frequency of the sensor increases to improve the dynamic bandwidth, the effects of eddy currents and hysteresis also increases, which results in the loss of accuracy. In this paper, a magnetic circuit model of the differential inductive sensor is developed. This model includes the effects of hysteresis and eddy currents. Experimental results confirm the validity of the model. The model predicts that the eddy current effects are not significant below the modulation frequency of 50kHz, as long as the lamination thickness is adequate.

• ETRI Journal
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• 제39권6호
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• pp.841-850
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• 2017

We investigate neural network image reconstruction for magnetic particle imaging. The network performance strongly depends on the convolution effects of the spectrum input data. The larger convolution effect appearing at a relatively smaller nanoparticle size obstructs the network training. The trained single-layer network reveals the weighting matrix consisting of a basis vector in the form of Chebyshev polynomials of the second kind. The weighting matrix corresponds to an inverse system matrix, where an incoherency of basis vectors due to low convolution effects, as well as a nonlinear activation function, plays a key role in retrieving the matrix elements. Test images are well reconstructed through trained networks having an inverse kernel matrix. We also confirm that a multi-layer network with one hidden layer improves the performance. Based on the results, a neural network architecture overcoming the low incoherence of the inverse kernel through the classification property is expected to become a better tool for image reconstruction.

• 방사선산업학회지
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• 제10권4호
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• pp.227-230
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• 2016

DWI of biological effects are independent of magnetic field strength in various regions. High field strength, however, does affect the signal to noise ratio (SNR) and artifacts of diffusion weighted imaging (DWI) images, which ultimately will influence the quantitative of diffusion imaging. In this study, the effects of field strength on DWI are reviewed. The effects of the diseases also are discussed. Comparing DWI in cerebellum, WM, GM, Hyperacute region measurements both as a function of field strength (1.5T and 3.0T). Overall, the SNR of the DWI roughly doubled going from 1.5 T to 3.0 T. In summary, DWI studies at 3.0 T is provided significantly improved DWI measurements relative to studies at 1.5T.

• Advances in nano research
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• 제16권6호
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• pp.579-591
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• 2024

This study explained the effects of radiation, magnetic field, and nanoparticle shape on the peristaltic flow of an Upper-Convected Maxwell nanofluid through a porous medium in an asymmetric channel for a better understanding of cooling and heating mechanisms in the presence of magnetic fields. These phenomena are modeled mathematically as a system of non-linear differential equations, that are solved under long-wavelength approximation and low Reynolds number conditions using the perturbation method. The results for nanofluid and temperature described the behavior of the pumping characteristics during their interaction with (the vertical position, thermal radiation, the shape of the nanoparticle, and the magnetic field) analytically and explained graphically. Also, the combined effects of thermal radiation parameters and some physical parameters on pressure rise, pressure gradient, velocity, and heat distribution are pointed out. Qualitatively, a reverse velocity appears with combined high radiation and Grashof number or combined high radiation and low volume flow rate. At high radiation, the spherical nanoparticle shape has the greatest effect on heat distribution.