• 전기전자학회논문지
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• 제7권1호
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• pp.1-8
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• 2003

본 논문에서는 고내압 및 고속 스위칭 특성을 갖는 고성능 BCD(Bipolar- CMOS-DMOS) 소자 구조를 고안하였다. 공정 및 소자 시뮬레이션을 통하여, 최적화된 공정 규격과 소자 규격을 설계하였으며, 고안된 소자의 전기적 특성을 만족시키기 위하여 이중 매몰층 구조, 트랜치 격리 공정, n-/p- 드리프트 영역 형성기술 및 얕은 접합 깊이 형성기술 등을 채택하였다. 이 스마트 파워 IC는 20V급 Bipolar npn/pnp 소자, 60V급 LDMOS소자, 수 암페어급의 VDMOS, 20V급 CMOS소자 그리고 5V급 논리 CMOS를 내장하고 있다.

• 산업경영시스템학회지
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• 제32권2호
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• pp.158-170
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• 2009

This paper considers how the optimal export level is influenced by export risk, the degree of risk-averseness for exporting firms, and those firms' cost structure. In addition, export insurance is incorporated into some simple theoretical model to analyze the optimal export level. This paper applies genetic algorithm simulation to show that the exporting firms'risk-averseness do not affect the optimal export decision while export risk and cost function characteristic have relatively more significant effects on the optimal export level. Finally, our findings suggest that the most influential factor for the optimal export levels seems to be the monopoly power of exporting firms.

• 한국환경생태학회지
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• 제22권3호
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• pp.268-279
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• 2008

본 연구는 서울시내 도림천, 방학천, 성내천, 양재천 일부구간을 대상으로 도시하천의 식생회복을 위한 기초자료 구축을 통해 횡단구조를 유형화하고 유형별 식생분포 특성을 규명하고자 하였다. 도시하천 횡단구조는 제방형태(수직형, 사면형)와 둔치 유무, 호안구조의 3가지 항목을 조합하여 사면형 56개 유형, 수직형 31개 유형으로 구분되었다. 대상지내에서는 SB1(저수호안-자연형 식생호안, 고수호안-자연하안), SG5(저수호안-콘크리트, 고수호안-사석공) 유형을 비롯한 사면형 9개 유형, VH4(제방호안-찰쌓기), VH7(제방호안-콘크리트) 유형 등 수직형 3개 유형이 도출되었다. 이 중 저수호안과 고수호안이 모두 콘크리트로 정비된 SG7 유형과, VG7 유형이 가장 긴 구간에서 분포하였다. 주요 8개 유형에 대한 미지형구조 및 식생구조를 조사 분석결과 유형화 항목별 특성에 따라 횡단구조가 식물생육에 미치는 영향을 파악할 수 있었으나 횡단구조 유형별 식생분포 특성은 뚜렷치 않았다.

• 한국안전학회지
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• 제36권5호
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• pp.79-85
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• 2021

A standard engineering model that reflects the current organization system and engineering operation process of domestic nuclear power plants was developed based on the Standard Nuclear Performance Model developed by the American Nuclear Energy Association. The level 0 screen, which is the main screen of the engineering model computer system, consisted of an object tree structure, which provided information that is phased down from a higher structure level to a lower structure level (i.e., level 3). The level 1 screen provided information related to the sub-process of the engineering operation, whereas the Level 2 screen provided information related to each engineering operation activity. In addition, the Level 2 screen provided additional functions, such as linking electronic procedures/guidelines, providing electronic performance forms, and connecting legacy computer systems (such as total equipment reliability monitoring system, configuration management systems, technical information systems, risk monitoring systems, regulatory information, and electronic drawing system). This screen level increased the convenience of user's engineering tasks by implementing them. The computerization of an engineering model that connects the entire engineering tasks of an establishment enables the easy understanding of information related to the engineering process before and after the operation, and builds a foundation for the enhancement of the work efficiency and employee capacity. In addition, KHNP developed an online training module, which operates as an e-learning process, on the overview and utilization of a standard engineering model to expand the understanding of standard engineering models by plant employees and to secure competitiveness.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2003년도 제2차 연례학술대회 발표논문집
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• pp.133-138
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• 2003

The prediction of protein secondary structure has been an important bioinformatics tool that is an essential component of the template-based protein tertiary structure prediction process. It has been known that the predicted secondary structure information improves both the fold recognition performance and the alignment accuracy. In this paper, we describe several novel ideas that may improve the prediction accuracy. The main idea is motivated by an observation that the protein's structural information, especially when it is combined with the evolutionary information, significantly improves the accuracy of the predicted tertiary structure. From the non-redundant set of protein structures, we derive the 'potential' parameters for the protein secondary structure prediction that contains the structural information of proteins, by following the procedure similar to the way to derive the directional information table of GOR method. Those potential parameters are combined with the frequency matrices obtained by running PSI-BLAST to construct the feature vectors that are used to train the support vector machines (SVM) to build the secondary structure classifiers. Moreover, the problem of huge model file size, which is one of the known shortcomings of SVM, is partially overcome by reducing the size of training data by filtering out the redundancy not only at the protein level but also at the feature vector level. A preliminary result measured by the average three-state prediction accuracy is encouraging.

• 산경연구논집
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• 제5권2호
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• pp.13-20
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• 2014

Purpose - The purpose of this study is to empirically investigate the impact of capital structure on firm performance. Research design, data, and methodology - This study examined the impact of capital structure on the performance of cement companies listed on the Karachi Stock Exchange during the period 2009-2013. The authors hypothesize that there is a negative relationship between capital structure and firm performance. To examine the association, the authors run a Pearson correlation and multiple regression analysis. Results - Results reveal a strong negative relationship between debt to asset and firm performance variables (GPM, NPM, ROA, and ROE). Further, there is a positive relationship between debt to equity and firm performance variables (GPM and NPM), anda negative relationship between debt to equity and firm performance variables (ROA and ROE). Moreover, capital structure variables significantly impact firm performance. Conclusions - This study concluded that financial analysts and managers should emphasize on the optimal level of capital structure and efficient utilization and allocation of resources to achieve the targeted level of productive efficiency in business.

• Bulletin of the Korean Chemical Society
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• 제24권3호
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• pp.325-333
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• 2003

An analysis of the electronic structure and bonding in the ternary silicide YNiSi₃is made, using extended Huckel tight-binding calculations. The YNiSi₃structure consists of Ni-capped Si₂dimer layers and Si zigzag chains. Significant bonding interactions are present between the silicon atoms in the structure. The oxidation state formalism of $(Y^{3+})(Ni^0)(Si^3)^{3-}$ for YNiSi₃constitutes a good starting point to describe its electronic structure. Si atoms receive electrons from the most electropositive Y in YNiSi₃, and Ni 3d and Si 3p states dominate below the Fermi level. There is an interesting electron balance between the two Si and Ni sublattices. Since the ${\pi}^*$ orbitals in the Si chain and the Ni d and s block levels are almost completely occupied, the charge balance for YNiSi₃can be rewritten as $(Y^{3+})(Ni^{2-})(Si^{2-})(Si-Si)^+$, making the Si₂layers oxidized. These results suggest that the Si zigzag chain contains single bonds and the Si₂double layer possesses single bonds within a dimer with a partial double bond character. Strong Si-Si and Ni-Si bonding interactions are important for giving stability to the structure, while essentially no metal-metal bonding exists at all. The 2D metallic behavior of this compound is due to the Si-Si interaction leading to dispersion of the several Si₂π bands crossing the Fermi level in the plane perpendicular to the crystallographic b axis.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2007년도 정기 학술대회 논문집
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• pp.157-162
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• 2007

A new level set based topology optimization employing inner-front creation algorithm is presented. In the conventional level set based topology optimization, the optimum topology strongly depends on the initial level set distribution due to the incapability of inner-front creation during optimization process. In the present work, in this regard, an inner-front creation algorithm is proposed. in which the sizes. shapes. positions, and number of new inner-fronts during the optimization process can be globally and consistently identified by considering both the value of a given criterion for inner-front creation and the occupied volume (area) of material domain. To facilitate the inner-front creation process, the inner-front creation map which corresponds to the discrete valued criterion of inner-front creation is applied to the level set function. In order to regularize the design domain during the optimization process, the edge smoothing is carried out by solving the edge smoothing partial differential equation (PDE). Updating the level set function during the optimization process, in the present work, the least-squares finite element method (LSFEM) is employed. As demonstrative examples for the flexibility and usefulness of the proposed method. the level set based topology optimization considering lightweight design of 3D shell structure is carried out.

• 한국인터넷방송통신학회논문지
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• 제22권2호
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• pp.129-134
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• 2022

버섯형 이중 격자 구조의 공진 바이오센서가 TE 편광 하의 근적외선 (NIR) 파장 범위에서 동작하도록 설계되었다. 정확한 MTLT (modal transmission-line theory)를 적용하여 광학적 특성을 결정하고, 격자 구조의 기하학적 매개변수를 변경하여 격자 구조의 반사 공진을 분석하였다. 수치 해석적 분석 결과, 단일층 격자 구조에서는 발생하지 않는 여기된 날카로운 Fano 공명 (FR)이 발생하였다. 설계된 구조에서 FR의 발생을 입증하기 위하여 이중 격자의 구조 매개변수와 반사 스펙트럼 사이의 관계를 자세하게 조사하였다. 제안된 구조를 기반으로 잠재적 감도가 112.9~214.3 deg/RIU, 그리고 447 nm/RIU인 광 바이오센서가 설계되었다. 제안된 버섯형 구조는 광범위한 응용 분야를 가진 광바이오센서 설계에 대한 좋은 표본으로 이용할 수 있다.

• 한국의학물리학회지:의학물리
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• 제32권4호
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• pp.92-98
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• 2021

Purpose: This study automatically discriminates homogeneous and structure edge regions on computed tomography (CT) images, and it evaluates the noise level and edge preservation ratio (EPR) according to the different types of iterative reconstruction (IR). Methods: The dataset consisted of CT scans of 10 patients reconstructed with filtered back projection (FBP), statistical IR (iDose⁴), and iterative model-based reconstruction (IMR). Using the 10th and 85th percentiles of the structure coherence feature, homogeneous and structure edge regions were localized. The noise level was estimated using the averages of the standard deviations for five regions of interests (ROIs), and the EPR was calculated as the ratio of standard deviations between homogeneous and structural edge regions on subtraction CT between the FBP and IR. Results: The noise levels were 20.86±1.77 Hounsfield unit (HU), 13.50±1.14 HU, and 7.70±0.46 HU for FBP, iDose⁴, and IMR, respectively, which indicates that iDose⁴ and IMR could achieve noise reductions of approximately 35.17% and 62.97%, respectively. The EPR had values of 1.14±0.48 and 1.22±0.51 for iDose⁴ and IMR, respectively. Conclusions: The iDose⁴ and IMR algorithms can effectively reduce noise levels while maintaining the anatomical structure. This study suggested automated evaluation measurements of noise levels and EPRs, which are important aspects in CT image quality with patients' cases of FBP, iDose⁴, and IMR. We expect that the inclusion of other important image quality indices with a greater number of patients' cases will enable the establishment of integrated platforms for monitoring both CT image quality and radiation dose.