• Journal of Microbiology and Biotechnology
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• 제9권5호
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• pp.668-671
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• 1999

The gene encoding Schwanniomyces occidentalis $\alpha-amylase$(AMY) was introduced into Saccharomyces cerevisiae var. diastaticus which secreted only glucoamylase, by using a linearized yeast integrating vector to develop stable strains with a capability of secreting $\alpha-amylase$and glucoamylase simultaneously. A dominant selectable marker, the geneticin(G418) resistance gene (Gt^r$), was cloned into a vector to screen wild-type diploid transformants harboring the AMY gene. The amylolytic activities of transformants were about 3-7 times higher than those of the recipient strains. When grown in nonselective media, the transformants with the linearized integrating vector containing the AMY gene exhibited almost all of the mitotic stability after 100 generations.

• 대한수학회지
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• 제57권3호
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• pp.721-745
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• 2020

In this paper we study fractional Sobolev spaces characterized by a norm based on eigenfunction expansions. The goal of this paper is twofold. The first one is to define fractional Sobolev spaces of order -1 ≤ s ≤ 2 equipped with a norm defined in terms of Neumann eigenfunction expansions. Due to the zero Neumann trace of Neumann eigenfunctions on a boundary, fractional Sobolev spaces of order 3/2 ≤ s ≤ 2 characterized by the norm are the spaces of functions with zero Neumann trace on a boundary. The spaces equipped with the norm are useful for studying cross-sectional traces of solutions to the Helmholtz equation in waveguides with a homogeneous Neumann boundary condition. The second one is to define fractional Sobolev spaces of order -1 ≤ s ≤ 1 for vector-valued functions in a simply-connected, bounded and smooth domain in ℝ². These spaces are defined by a norm based on series expansions in terms of eigenfunctions of the vector Laplacian with boundary conditions of zero tangential component or zero normal component. The spaces defined by the norm are important for analyzing cross-sectional traces of time-harmonic electromagnetic fields in perfectly conducting waveguides.

• 한국통신학회논문지
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• 제22권4호
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• pp.662-674
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• 1997

In order to post process the vector-quantized images employing the theory of projections onto convex sets or the constrained minimization technique, the the projector onto QCS(quantization constraint set) as well as the filter that smoothes the lock boundaries should be investigated theoretically. The basic idea behind the projection onto QCS is to prevent the processed data from diverging from the original quantization region in order to reduce the blurring artifacts caused by a filtering operation. However, since the Voronoi regions in order to reduce the blurring artifacts caused by a filtering operation. However, since the Voronoi regions in the vector quantization are arbitrarilly shaped unless the vector quantization has a structural code book, the implementation of the projection onto QCS is very complicate. This paper mathematically analyzes the projection onto QCS from the viewpoit of minimizing the mean square error. Through the analysis, it has been revealed that the projection onto a subset of the QCS yields lower distortion than the projection onto QCS does. Searching for an optimal constraint set is not easy and the operation of the projector is complicate, since the shape of optimal constraint set is dependent on the statistical characteristics between the filtered and original images. Therefore, we proposed a hyper-cube as a constraint set that enables a simple projection. It sill be also shown that a proper filtering technique followed by the projection onto the hyper-cube can reduce the quantization distortion by theory and experiment.

• 통합자연과학논문집
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• 제14권4호
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• pp.183-188
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• 2021

Collaborative filtering is one of the commonly used methods in the web recommendation system. Numerous researches on the collaborative filtering proposed the numbers of measures for enhancing the accuracy. This study suggests the movie recommendation system applied with Word2Vec and ensemble convolutional neural networks. First, user sentences and movie sentences are made from the user, movie, and rating information. Then, the user sentences and movie sentences are input into Word2Vec to figure out the user vector and movie vector. The user vector is input on the user convolutional model while the movie vector is input on the movie convolutional model. These user and movie convolutional models are connected to the fully-connected neural network model. Ultimately, the output layer of the fully-connected neural network model outputs the forecasts for user, movie, and rating. The test result showed that the system proposed in this study showed higher accuracy than the conventional cooperative filtering system and Word2Vec and deep neural network-based system suggested in the similar researches. The Word2Vec and deep neural network-based recommendation system is expected to help in enhancing the satisfaction while considering about the characteristics of users.

• Journal of Microbiology and Biotechnology
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• 제11권1호
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• pp.65-71
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• 2001

A gene from Paenibacillus sp. KCTC 8848P encoding ${\beta}-amylase$ was cloned and expressed in Escherichia coli. The Paenibacillus ${\beta}-amylase$ gene cosisted of a 2,409-bp open reading frame without a translational stop codon, encoding a protein of 803 amino acids. The presumed ribosime-binding site, GGAGG, was located 10 bp upstream from the TTG initiation codon. The deduced amino acid sequence of the ${\beta}-amylase$ gene had a 95% similarity to the ${\beta}-amylase$ of Bacillus firmus. The ${\beta}-amylase$ gene was introduced into wild-type strains of Saccharomyces cerevisiae using a linearized yeast integrating vector containing a geneticin resistance gene and its product was secreted into the culture medium.

• 대한수학회논문집
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• 제32권2호
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• pp.417-424
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• 2017

In this paper, we study slant curves in a 3-dimensional almost f-Kenmotsu manifold with proper mean curvature vector field.

• 대한수학회논문집
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• 제11권4호
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• pp.1047-1053
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• 1996

In this paper, we obtain a solution of Einstein's unified field equations on a generalized n-dimensional Riemannian manifold $X_n$.

• Kyungpook Mathematical Journal
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• 제62권4호
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• pp.689-697
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• 2022

In this paper, we study dual integrable representations of locally compact commutative hypergroups and give a sufficient and necessary condition for a dual integrable representation to have an admissible vector.

• 정보처리학회논문지D
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• 제19D권2호
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• pp.151-160
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• 2012

지금까지 제안된 분산 고차원 색인의 대부분은 균일한 분포를 가지는 데이터 집합에서 좋은 검색 성능을 나타내나, 편향되거나 클러스터를 이루는 데이터의 집합에서는 그 성능이 크게 감소된다. 본 논문은 강하게 클러스터를 이루거나 편향된 분포를 가지는 데이터 집합에 대한 분산 벡터 근사 트리의 k-최근접 검색 성능을 향상시키는 방법을 제안한다. 기본 아이디어는 전체 데이터를 클러스터링하는 상위 트리의 말단 노드가 담당하는 데이터 공간의 크기를 계산하고, 그 공간 상의 특징 벡터를 근사하는 데 사용되는 비트의 수를 달리하여 벡터 근사의 식별 능력을 보장하는 것이다. 즉, 고밀도 클러스터에는 더 많은 수의 비트를 할당하는 것이다. 우리는 합성 데이터와 실세계 데이터를 가지고 분산 hybrid spill-tree와 기존 분산 벡터 근사 트리와의 성능 비교 실험을 수행하였다. 실험 결과는 확장된 분산 벡터 근사 트리의 검색 성능이 균일하지 않은 분포의 데이터 집합에서 크게 향상되었음을 보인다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
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• pp.208-210
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• 2007

As a renewable power source, wind power generation has been research interest for many years. And power electronic converters have been developed and applied in variable speed wind turbines. This paper presents the basic development and implementation of space-vector modulated three phase AC-AC matrix converter for variable speed wind power system. Basic matrix converter operation is described, where a new bidirectional switch structure with commutation circuit is used. Finally, experiment results of basic converter operation are shown.