• Journal of Magnetics
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• 제15권1호
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• pp.1-6
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• 2010

The magnetic properties of amorphous Fe were investigated by examining the electronic structures of structurally disordered Fe systems generated from crystalline bcc and fcc Fe using a Monte-Carlo simulation. As a rst principles band method, the real space spin-polarized tight-binding linearized-mun-tin-orbital recursion method was used in the local spin density approximation. Compared to the crystalline system, the electronic structures of the disordered systems were characterized by a broadened band width, smoothened local density of states, and reduced local magnetic moment. The magnetic structures depend on the short range configurations. The antiferromagnetic structure is the most stable for a bcc-based disordered system, whereas the noncollinear spin spiral structure is more stable for a fcc-based system.

• Nuclear Engineering and Technology
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• 제34권3호
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• pp.202-210
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• 2002

The details of the electronic structure of the perfect crystal provides a critically important foundation for understanding the various defect states in uranium dioxide. In order to understand the local defect and impurity mechanism, the calculation of electronic structure of UO$_2$ in the one-electron approximation was carried out, using a semi-empirical tight-binding formalism(LCAO) with and without f-orbitals. The energy band, local and total density of states for both spin states are calculated from the spectral representation of Green’s function. The bonding mechanism in Perfect lattice of UO$_2$ is discussed based upon the calculations of band structure, local and total density of states.

• 한국재료학회지
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• 제29권8호
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• pp.477-482
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• 2019

The magnetic properties and electronic structures of the B20 crystal structure MnGe and MnSi were investigated using the density functional theory with local density approximation. The low symmetry of the B20 crystal structure plays a very important role to make electromagnetic characteristics of these materials. The important result of the calculations is that it can be observed the appearance of a pair of gaps in the density of states near the Fermi level in both compounds. These features are results from d-band splitting by the low symmetry of the crystal field from B20 crystal structure. It can be seen that there is half-metallic characteristics from the density of states in both compounds. The calculation shows that the value of magnetic moment of MnGe is 5 times bigger than that of MnSi even though they have same crystal structure. The electronic structures of paramagnetic case have a very narrow indirect gap just above the Fermi level in both compounds. These gaps acquire some significance in establishing the stability of the ferromagnetic states within the local density approximation. Calculation shows that the Mn 3d character dominates the density of states near the Fermi level in both materials.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권10호
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• pp.4126-4142
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• 2015

Finger vein recognition is a biometric technology using finger veins to authenticate a person, and due to its high degree of uniqueness, liveness, and safety, it is widely used. The traditional Symmetric Local Graph Structure (SLGS) method only considers the relationship between the image pixels as a dominating set, and uses the relevant theories to tap image features. In order to better extract finger vein features, taking into account location information and direction information between the pixels of the image, this paper presents a novel finger vein feature extraction method, Multi-Orientation Weighted Symmetric Local Graph Structure (MOW-SLGS), which assigns weight to each edge according to the positional relationship between the edge and the target pixel. In addition, we use the Extreme Learning Machine (ELM) classifier to train and classify the vein feature extracted by the MOW-SLGS method. Experiments show that the proposed method has better performance than traditional methods.

• Journal of Electrical Engineering and Technology
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• 제13권6호
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• pp.2511-2520
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• 2018

In this study, Multi-Radial Basis Function Support Vector Machine (Multi-RBF SVM) classifier is introduced based on a composite kernel function. In the proposed multi-RBF support vector machine classifier, the input space is divided into several local subsets considered for extremely nonlinear classification tasks. Each local subset is expressed as nonlinear classification subspace and mapped into feature space by using kernel function. The composite kernel function employs the dual RBF structure. By capturing the nonlinear distribution knowledge of local subsets, the training data is mapped into higher feature space, then Multi-SVM classifier is realized by using the composite kernel function through optimization procedure similar to conventional SVM classifier. The original training data set is partitioned by using some unsupervised learning methods such as clustering methods. In this study, three types of clustering method are considered such as Affinity propagation (AP), Hard C-Mean (HCM) and Iterative Self-Organizing Data Analysis Technique Algorithm (ISODATA). Experimental results on benchmark machine learning datasets show that the proposed method improves the classification performance efficiently.

• JSTS:Journal of Semiconductor Technology and Science
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• 제11권4호
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• pp.329-335
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• 2011

In this paper, a dual-band integer-N frequency divider is proposed for 2.4/5.2 GHz multi-standard wireless local area networks. It consists of a multi-modulus imbalance phase switching prescaler and two all-stage programmable counters. It is able to provide dual-band operation with high resolution while maintaining a low power consumption. This frequency divider is integrated with a 5 GHz VCO for multi-standard applications. Measurement results show that the VCO with frequency divider can work at 5.2 GHz with a total power consumption of 22 mW.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권4호
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• pp.1748-1759
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• 2018

Weber Local Descriptor (WLD) is a stable and effective feature extraction algorithm, which is based on Weber's Law. It calculates the differential excitation information and direction information, and then integrates them to get the feature information of the image. However, WLD only considers the center pixel and its contrast with its surrounding pixels when calculating the differential excitation information. As a result, the illumination variation is relatively sensitive, and the selection of the neighbor area is rather small. This may make the whole information is divided into small pieces, thus, it is difficult to be recognized. In order to overcome this problem, this paper proposes Weber Symmetrical Local Graph Structure (WSLGS), which constructs the graph structure based on the $5{\times}5$ neighborhood. Then the information obtained is regarded as the differential excitation information. Finally, we demonstrate the effectiveness of our proposed method on the database of ORL, JAFFE and our own built database, high-definition infrared faces. The experimental results show that WSLGS provides higher recognition rate and shorter image processing time compared with traditional algorithms.

• 한국자기학회지
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• 제8권3호
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• pp.111-117
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• 1998

최근 perovskit 구조의 망간산화물에서 발견된 초거대자기저항(colossal magnetoresistance: CMR) 현상의 발견은 물리적 특이성과 공업적인 응용 가능성으로 학계의 큰 주목을 받고 있다. 그런데 이러한 CMR 현상은 망간화산화물외에 pyrochlore 구조의 Tl2Mn2O7과 spinel 구조의 Cr-황화물에서도 관측됨었음이 보고되었다. 본 논문에서는 Cr-황화물 Fe1-xCuxCr2S4 (x=0.0, 0.5, 1.0)의 전자구조를 구재밀도근사(local density approximation: LDA) lineatized muffintin orbital(LMTO) 밴드계산 방법을 이용하여 연구하였다. 그 결과 x=0.0, 0.5에 대한 특성저항은 절반금속(Half-Metal)성질과 얀-텔러(Jahn-Teller) 효과를 적용하여 정성적인 이해가 가능하였다. 특히, x=0.0, 0.5, 1.0각각에 대해서 전도모델을 제시하여, 계산결과로 얻어진 절반금속 전자구조가 CMR 현상과 밀접한 관련이 있음을 예측하였다.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2009년도 제38회 동계학술대회 초록집
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• pp.377-377
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• 2010

FINEMET type nanocrystalline materials synthesized by controlled crystallization of amorphous ribbons[1] exhibit excellent soft magnetic properties making them attractive for technological applications. Present work reports the electronic structure studies of Co-substituted FINEMET to get information on the effect of successive Co substitution on local environment around Fe and Co atom by using near edge x-ray absorption fine structure (NEXAFS) and x-ray magnetic circular dichroism (XMCD) measurements. NEXAFS spectroscopy and XMCD measurements have been carried out at Fe $L_{3,2}$ and Co $L_{3,2}$-edges to investigate the chemical states and electronic structure of FINEMET [$(Fe_{100-x}Co_x)_{78}Si_9Nb_3Cu_1Ba$](0$L_{3,2}$-edge reveal that Fe is in 2+ state and in tetrahedral symmetry with other elements. The magnetic properties exhibiting soft magnetic behavior[2] are discussed on the basis of the electronic structure studied through XMCD.

• 대한전자공학회논문지SD
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• 제45권8호
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• pp.1-10
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• 2008

본 논문에서는 새로운 스위칭 방식인 LFS (Local Field Switching)을 이용하여 설계한 128비트 MRAM (Magnetoresistive Random Access Memo교)에 대해 기술하였다. LFS 방식은 MTJ (Magnetic Tunnel Junction)를 직접 통과해 흐르는 전류에 의해 형성되는 국소 자기장을 이용하여 MTJ의 극성을 변환시킨다. 이 방식은 MTJ와 전류의 거리가 가깝기 때문에 작은 전류로도 충분히 큰 자기장을 형성하므로 writing current가 적어도 된다. 또한 Digit Line이 없어도 되므로 half select disturbance가 발생하지 않아 기존 MTJ를 이용한 방식에 비해 셀 선택도가 우수하다. 설계한 MRAM은 IT(트랜지스터)-1MTJ의 메모리 셀 구조를 가지며 양방향 write driver와 mid-point reference cell block, current mode sense amplifier를 사용한다. 그리고 MTJ 공정 없이 회로 동작을 확인하기 위해 LFS-MTJ cell을 CMOS emulation cell로 대체하였다. 설계한 회로를 6 metal을 사용하는 $0.18{\mu}m$ CMOS 공정으로 구현하였고 제작된 chip을 custom board 상에서 테스트하여 동작을 확인하였다.