• 한국전기전자재료학회논문지
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• 제16권4호
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• pp.343-350
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• 2003

Using Bi$_2$Sr$_2$Ca$_2$.$_2$Cu$_3$ $O_{x}$ powders prepared by solid state reaction and spray drying method, the nucleation and growth behaviors of superconducting and second phases were investigated during isothermal heat treatment. When the spray drying power was used in contrast with solid state reaction powder, Bi$_2$Sr$_2$Ca$_2$.$_2$Cu$_3$ $O_{x}$ (2223) phase could be formed at the relatively shot time and second phases were much bigger. Quantitative analysis showed that as the heat treatment time increased, more Bi$_2$Sr$_2$Ca$_2$.$_2$Cu$_3$ $O_{x}$ (2212) changed to 2223 and the major second phase was changed from (Sr,Ca)$_{14}$Cu$_{24}$ $O_{x}$(14:24) to (Sr,Ca)$_2$Cu$_1$ $O_{x}$ (2:l). The superconducting phase formed at the relatively short time 14:24 phase. Following the Bi-free phase of 14:24 Phase, but long time was needed in places far from the 14:24 phase. Following the formation of the 2212 phase near the 14:24 phase, the 2223 phase nucleated preferentially at the interface between the 2212 and 14:24 phases. The preferential nuclcation of 2223 was explained by its structural similarity and low Interfacial energy with both the Bi-free and 2212 Phases.12 Phases.

• 지구물리와물리탐사
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• 제10권4호
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• pp.314-321
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• 2007

최근에 들어서 물성이 서로 다른 두 종류의 탐사자료의 복합역산에 대한 연구가 활발하게 이루어지고 있다. 이는 복합역산에 의하여 훨씬 더 정확한 지하구조 영상을 계산할 수 있을 뿐만 아니라 물리탐사 변수가 아닌 다른 물성 분포의 유도가 물리탐사로서 가능해지기 때문이다. 이 연구에서는 (1) cross-gradient로 정의되는 두 지하구조의 유사성의 최대화, (2) 두 물성간의 상관관계의 최대화, (3) 지하 물성 분포에 대한 선험적 정보의 3 종류 제한을 채택한 탄성파 굴절법 주시 토모그래피와 전기비저항 탐사 자료의 복합역산법을 개발하였다. 지표 전기비저항과 탄성파 굴절법 탐사의 수치실험을 통하여, 제안한 복합역산법의 효용성과 각종 제한조건의 효과를 분석하였다. 특히 제한조건을 적절히 이용할 경우, 탄성파 탐사의 저속도층에 의한 숨은 층 문제를 복합탐사 및 역산으로 해결할 수 있음을 알 수 있었다.

• Bulletin of the Korean Chemical Society
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• 제27권11호
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• pp.1733-1736
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• 2006

A new biologically active peptide with structural similarity to neuromedin N (NMN) has been isolated from extracts of visceral tissue of the African lungfish, Protopterus dolloi, using the rectum of the quail as the bioassay system. The primary structure of NMN-related peptide was established as Lys-Ala-Pro-Tyr-Ile-Leu-OH ([$Ala_2$]-NMN) and contained one substitution ($Ala_2\rightarrow$Ile) compared with the porcine NMN. [$Ala_2$]-NMN was found to have an excitatory effect on rectal muscle tissues of quail (Coturnix japonica), newt (Cynops pyrrhogaster) and black bass (Micropterus sulmoides). The threshold concentration of [Ala2]-NMN for contraction of C. japonica muscle was found to be approximately $10^-11$M. [$Ala_2$]-NMN showed contractile activities in the following order: C. japonica > C. pyrrhogaster > M. sulmoides. The identification of [Ala2]-NMN provides evidence that NMN family, hitherto confined to mammals, has a widespread occurrence in lungfish.

• 가정과삶의질연구
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• 제30권5호
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• pp.1-15
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• 2012

The purpose of this study is various discussion and alternatives focusing on integration of center for enhancing family policy delivery system and family support service the long term. The subject is managers who work at Healthy Family Support centers and Multicultural Family Centers. And they are responded non-structural questionnaire. The results were follows: First, 82.4% respondents of healthy support center and 50% respondents were in favor of integration. Second, reason of integration are conformance for social integration, the efficiency of center operations, the adequacy of program for various family, doing program with the goal of both centers of the similarity, complementary, and user convenience, prevent duplication and missing of services and so on, If the amount charged against the project of the center dissimilarity of institutions, including the operating direction was different. Third, the Center for the meaning of integration are name, organization, reorganization or consolidation of functions, was regarded as entrusted to corporate consolidation. Fourth, the consolidation that occurs during problem solving to ensure the succession of budgeting and human resources and program alternative for dressing up, commissioning center was the difference as problem solving.

• Journal of Microbiology and Biotechnology
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• 제17권5호
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• pp.761-768
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• 2007

Serratia proteamaculans HY-3 isolated from the digestive tract of a spider produces an extracellular protease named arazyme, with an estimated molecular mass of 51.5 kDa. The purified enzyme was characterized as having high activities at wide pH and temperature ranges. We further characterized biochemical features of the enzymatic reactions under various reaction conditions. The protease efficiently hydrolyzed a broad range of protein substrates including albumin, keratin, and collagen. The dependence of enzymatic activities on the presence of metal ions such as calcium and zinc indicated that the enzyme is a metalloprotease, together with the previous observation that the proteolytic activity of the enzyme was not inhibited by aspartate, cysteine, or serine protease inhibitors, but strongly inhibited by 1,10-phenanthroline and EDTA. The araA gene encoding the exoprotease was isolated as a 5.6 kb BamHI fragment after PCR amplification using degenerate primers and subsequent Southern hybridization. The nucleotide sequence revealed that the deduced amino acid sequences shared extensive similarity with those of the serralysin family of metalloproteases from other enteric bacteria. A gene(inh) encoding a putative protease inhibitor was also identified immediately adjacent to the araA structural gene.

• 한국정보통신학회논문지
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• 제22권3호
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• pp.425-433
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• 2018

본 논문에서는 시차의 신뢰도를 기반으로 플렌옵틱 영상의 초고해상도 복원 알고리즘을 제안한다. 그리고 플렌옵틱 카메라 영상으로부터 생성한 서브어퍼처(sub-aperture) 이미지는 TV_L1알고리즘에 기반한 시차 추정과 초고해상도 영상 복원에 활용된다. 특히 제안된 알고리즘은 시차가 부정확하게 나타날 수 있는 경계 역역에서 향상된 성능을 보인다. 시차 벡터의 신뢰도는 서브어퍼처 이미지의 상하좌우 각 위치별 영역에 따른 분산을 고려하여 판단한다. 신뢰도가 낮은 시차벡터는 초고해상도 영상 복원시 제외된다. 제안된 방법은 바이큐빅 보간 방법과 기존의 시차기반방법 그리고 사전기반 방법과 비교하여 평가되었다. 성능 평가에서 초고해상도 영상복원의 결과는 PSNR, SSIM 관점에서 성능을 비교하여 최상의 성능을 보여준다.

• Biomolecules & Therapeutics
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• 제25권2호
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• pp.171-176
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• 2017

Streptomyces avermitilis produces clinically useful drugs such as avermectins and oligomycins. Its genome contains approximately 33 cytochrome P450 genes and they seem to play important roles in the biosynthesis of many secondary metabolites. The SAV_7130 gene from S. avermitilis encodes CYP158A3. The amino acid sequence of this enzyme has high similarity with that of CYP158A2, a biflaviolin synthase from S. coelicolor A3(2). Recombinant S. avermitilis CYP158A3 was heterologously expressed and purified. It exhibited the typical P450 Soret peak at 447 nm in the reduced CO-bound form. Type I binding spectral changes were observed when CYP158A3 was titrated with myristic acid; however, no oxidative product was formed. An analog of flaviolin, 2-hydroxynaphthoquinone (2-OH NQ) displayed similar type I binding upon titration with purified CYP158A3. It underwent an enzymatic reaction forming dimerized product. A homology model of CYP158A3 was superimposed with the structure of CYP158A2, and the majority of structural elements aligned. These results suggest that CYP158A3 might be an orthologue of biflaviolin synthase, catalyzing C-C coupling reactions during pigment biosynthesis in S. avermitilis.

• 한국응용과학기술학회지
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• 제31권3호
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• pp.367-374
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• 2014

In this study, skin permeation enhancement was confirmed by designing it to have a structure and composition similarity to the intercellular lipids that improve miscibility with skin by cross-linked lipids poloxamer. The cross-linked lipids poloxamer was synthesized and analyzed by 1H NMR that structure dose had conjugated pluronic with ceramide3. Active component is released by modification of liquid crystal structure because PPO part, large-scale molecule block of pluronic, has hydrophobic nature at skin temperature of $35^{\circ}C$. Conjugated pluronic with ceramide3 was synthesized using Pluronic F127 and p-NPC (4-nitrophenyl chloroformate) at room temperature yielded 89%. Pluronic(Ceramide 3-conjugated Pluronic) was synthesized by reaction of p-NP-Pluronic with Ceramide3 and DMAP. The yield was 51%. This cross-linked lipids poloxamer was blended and dissolved at isotropic state with skin surface lipids, phospholipid, ceramide, cholesterol and anhydrous additive solvent. Next step was preceded by ${\alpha}$-Transition at low temperature for making the structure of Meso-Phase Lamella, and non-hydrous skin analogue liquid crystal using thermo-sensitivity smart sensor, lamellar liquid crystal structure through aging time. For confirmation of conjugation thermo-sensitivity smart sensor and non-hydrous skin analogue liquid crystal, structural observation and stability test were performed using XRD(Xray Diffraction), DSC(Differential Scanning Calorimetry), PM (Polarized Microscope) And C-SEM (Cryo-Scanning Electron Microscope). Thermo-sensitivity observation by Franz cell revealed that synthesized smart sensor shown skin permeation effect over 75% than normal liquid crystal. Furthermore, normal non-hydrous skin analogue liquid crystal that not applied smart sensor shown similar results below $35^{\circ}C$ of skin temperature, but its effects has increased more than 30% above $35^{\circ}C$.

• 디지털융복합연구
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• 제16권11호
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• pp.495-500
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• 2018

본 연구는 멀티 디바이스 환경에서 사용자 경험의 연속성을 높일 수 있는 요인들에 대해 알아보았다. 우선 구조적 차이와 태스크의 연속성에 관해서는 크로스 미디어의 특성에 따른 OS의 차이와 마우스의 사용과 터치 제스처라는 기능적인 차이가 연속성을 방해하는 요소로 나타났으며 연속성을 높이기 위해서는 메타포와 어포던스로 시각 단서를 제공해 상관성과 가시성을 높여주어야 한다. 시각 기억과 인지의 연속성 부분에서는 시지각적 요소의 동일성과 유사성으로 익숙함을 부여하여 친숙성의 요인이 연속성과 밀접한 관련이 있음을 알 수 있었다. 마지막으로 사용자 경험의 연속성을 위해서는 시지각적 요소는 물론 정보의 의미와 배치의 일관성이 사용자 경험의 연속성을 위한 요인이 되는 것을 알 수 있었다. 이를 바탕으로 사용자 경험의 연속성 차원의 친숙성, 일관성, 상관성, 가시성의 요인으로 회귀 분석을 실시한 결과 친숙성, 일관성, 상관성은 유의미한 영향 요인인 반면 가시성은 연속성에 큰 영향을 미치지 않음을 알 수 있었다.

• 한국IT서비스학회지
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• 제18권2호
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• pp.143-159
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• 2019

Machine learning (ML) is a method of fitting given data to a mathematical model to derive insights or to predict. In the age of big data, where the amount of available data increases exponentially due to the development of information technology and smart devices, ML shows high prediction performance due to pattern detection without bias. The feature engineering that generates the features that can explain the problem to be solved in the ML process has a great influence on the performance and its importance is continuously emphasized. Despite this importance, however, it is still considered a difficult task as it requires a thorough understanding of the domain characteristics as well as an understanding of source data and the iterative procedure. Therefore, we propose methods to apply deep learning for solving the complexity and difficulty of feature extraction and improving the performance of ML model. Unlike other techniques, the most common reason for the superior performance of deep learning techniques in complex unstructured data processing is that it is possible to extract features from the source data itself. In order to apply these advantages to the business problems, we propose deep learning based methods that can automatically extract features from transaction data or directly predict and classify target variables. In particular, we applied techniques that show high performance in existing text processing based on the structural similarity between transaction data and text data. And we also verified the suitability of each method according to the characteristics of transaction data. Through our study, it is possible not only to search for the possibility of automated feature extraction but also to obtain a benchmark model that shows a certain level of performance before performing the feature extraction task by a human. In addition, it is expected that it will be able to provide guidelines for choosing a suitable deep learning model based on the business problem and the data characteristics.