• Journal of Microbiology and Biotechnology
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• 제11권3호
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• pp.508-514
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• 2001

A stuructural gene (ycl) encoding novel yeast cell wall hydrolase, YCL, was cloned from alkalophilic Bacillus alcalophilus subsp. YB380 by PCR, and transformed into E. coli JM83. Based on the N-terminal and internal amino acid sequences of the enzyme, primers were designed for PCr. The positive clone that harbors 1.8 kb of the yeast cell wall hydrolase gene was selected by the colony hybridization method with a PCR fragment as a probe. According to the computer analysis, this gene contained a 400-base-paired N-terminal domain of the enzyme. Based on nucletide homology of the cloned gene, a 850 bp fragment was amplified and the C-terminal domain of the enzyme was sequenced. With a combination of the two sequences, a full nucleotide sequence for YCL was obtained. This gene, ycl, consisted of 1,297 nucleotides with 27 nucleotides with 27 amino acids of signal sequence, 83 redundant amino acids of prosequence, and 265 amino acids of the mature protein. This gene was then cloned into the pJH27 shuttle vector and transformed into the Bacillus subtilis DB104 to express the enzyme. It was confirmed that the expressed cell wall hydrolase that was produced by Bacillus subtilis DB104 was the same as that of the donor strain, by Western blot using polyclonal antibody (IgY) prepared from White Leghorn hen. Purified yeast cell wall hydrolase and expressed recombinant protein showed a single band at the same position in the Western blot analysis.

• 대한조선학회논문집
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• 제52권1호
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• pp.88-95
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• 2015

For the frequency-domain spectral fatigue analysis, the probability density function of stress range needs to be estimated based on the stress spectrum only, which is a frequency domain representation of the response. The probability distribution of the stress range of the narrow-band spectrum is known to follow the Rayleigh distribution, however the PDF of wide-band spectrum is difficult to define with clarity due to the complicated fluctuation pattern of spectrum. In this paper, efforts have been made to figure out the links between the probability density function of stress range to the structural response of wide-band Gaussian random process. An artificial neural network scheme, known as one of the most powerful system identification methods, was used to identify the multivariate functional relationship between the idealized wide-band spectrums and resulting probability density functions. To achieve this, the spectrums were idealized as a superposition of two triangles with arbitrary location, height and width, targeting to comprise wide-band spectrum, and the probability density functions were represented by the linear combination of equally spaced Gaussian basis functions. To train the network under supervision, varieties of different wide-band spectrums were assumed and the converged probability density function of the stress range was derived using the rainflow counting method and all these data sets were fed into the three layer perceptron model. This nonlinear least square problem was solved using Levenberg-Marquardt algorithm with regularization term included. It was proven that the network trained using the given data set could reproduce the probability density function of arbitrary wide-band spectrum of two triangles with great success.

• 한국전산구조공학회논문집
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• 제21권3호
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• pp.281-285
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• 2008

축소시스템 기법은 전체 구조의 거동을 나타내는 저차 고유모드를 근사화한다. 지난 연구에서 축소시스템을 구축하기 위한 2단계 축소기법을 제안하였다. 또, 기존의 2단계 축소기법을 반복적 IRS기법을 통해 중간 주파수 대역의 고유모드에 대한 해의 정확도를 높이는 방안에 대해 연구가 제안되었다. 본 연구에서는 기존의 향상된 2단계 축소기법에 다단계 부구조화 기법을 적용하는 기법을 제안한다. 첫 단계에서는 전체 시스템을 그래프 분할을 통해 계층적으로 부구조로 분할되고, 두 번째 단계에서는 각각의 부구조를 개선된 2단계 축소기법을 이용하여 축소한다. 각각의 축소된 분절화된 고유치문제의 조합을 총해 최종적 축소시스템을 구축하고 이렇게 구한 축소된 고유치 문제를 란초스 기법(ARPACK)을 통해 해석한다. 최종적으로 제안된 기법의 성능을 수치 예제를 통해 검증한다.

• Structural Engineering and Mechanics
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• 제29권2호
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• pp.135-154
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• 2008

The moving vehicle loads on a bridge deck is one of the most important live loads of bridges. They should be understood, monitored and controlled before the bridge design as well as when the bridge is open for traffic. A MOM-based algorithm (MOMA) is proposed for identifying the timevarying moving vehicle loads from the responses of bridge deck in this paper. It aims at an acceptable solution to the ill-conditioning problem that often exists in the inverse problem of moving force identification. The moving vehicle loads are described as a combination of whole basis functions, such as orthogonal Legendre polynomials or Fourier series, and further estimated by solving the new system equations developed with the basis functions. A number of responses have been combined, some numerical simulations on single axle, two axle and multiple-axle loads, being either constant or timevarying, have been carried out and compared with the existing time domain method (TDM) in this paper. The illustrated results show that the MOMA has higher identification accuracy and robust noise immunity as well as producing an acceptable solution to ill-conditioning cases to some extent when it is used to identify the moving force from bridge responses.

• 한국수학교육학회지시리즈A:수학교육
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• 제58권3호
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• pp.383-401
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• 2019

고등학교의 통합 교육에서는 각 교과 간의 공통 개념이나 아이디어를 중심 내용으로 다루어야 하기 때문에, 본 연구는 이미 학습한 과학적 개념인 'Mendel의 유전 법칙'을 이용하여 수학을 중심으로 한 통합 수업이 진행될 수 있도록 자료를 개발하고, 개발된 자료에 대하여 CVR 검증을 통하여 전문가 타당성을 확인한 연구이다. 선행연구에 의하면 중학교에서 학습한 과학 개념 중에서 수학과 연계가 비교적 적은 것으로 알려진 내용 중 Mendel의 유전 법칙을 대상으로 하여 연구를 진행하였다. 수학과 다른 과목을 통합한 수업에서는 두 과목 사이의 공통 연결고리가 풍부할수록 수업효과가 좋기 때문에, 본 연구에서는 확률 영역 이외에도 통계 영역의 개념까지 포함하여 조사를 진행하였으며, 이에 근거하여 1차시(100분) 수업에 해당하는 수업 자료를 개발할 수 있었다.

• 한국항공우주학회지
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• 제49권11호
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• pp.945-951
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• 2021

SOQPSK-TG는 대역폭 효율이 매우 우수한 항공기 텔레메트리용 변조신호이다. 본 논문에서는 SOQPSK-TG 변조방식의 주파수 파형 필터를 선형 근사하여 듀오바이너리 프리코더와 약 1T_b 구간의 위상천이 구간을 갖는 수정 주파수 파형 필터로 모델링하였다. 그리고 기존의 프리코더와 결합하여 이중 듀오바이너리 MSK로 SOQPSK-TG를 모델링하였다. SOQPSK-TG 신호와 새롭게 모델링한 이중 듀오바이너리 MSK 신호를 시간 영역, 주파수 영역에서 비교하여, 두 신호가 거의 일치하고 실질적인 성능 차이가 없음을 확인하였다. 또한 새로 모델링한 이중 듀오바이너리 프리코더에 의한 변조지수 변화를 고려하여 IQ-검출기의 검출 필터를 코사인 합 필터로 구현하였을 때 기존 코사인 필터 대비 약 0.1 dB 수신성능이 개선됨을 확인하였다.

• 한국콘텐츠학회논문지
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• 제21권12호
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• pp.132-139
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• 2021

본 코퍼스 기반 연구는 통사론 영역에서 자주 등장하는 학술어휘들을 목록화하고 추출된 단어 목록을 Coxhead(2000)의 학술어휘 목록(AWL) 및 West(1953)의 기본어휘 목록(GSL)과 비교하여 통사론 코퍼스 내의 어휘 분포와 범위를 조사하였다. 이를 위해 영어교육 전공자들이 주로 사용하는 필수 통사론 전공 서적을 546,074 단어 수준의 전문 코퍼스로 구축한 다음 AntWordProfiler 1.4.1로 분석하였다. 빈도를 기준으로 분석한 결과 16회 이상 등장한 학술어휘는 288개(50.5%), 15회 이하 등장한 학술어휘는 218개(38.2%)로 나타났다. AWL과 GSL의 출현 범위는 각각 9.19%와 78.92%로 나타났으며 GSL과 AWL을 포함한 비중은 전체 토큰의 88.11%에 달하였다. AWL이 광범위한 학술 요구를 충족시키는데 중추적인 역할을 할 수 있다는 점을 감안할 때, 본 연구는 학문 문식성과 학업 능력을 향상시키기 위한 방안으로 학문 분야별 학술 어휘목록을 편성할 필요가 있음을 강조하였다.

• Journal of Gastric Cancer
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• 제22권4호
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• pp.319-338
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• 2022

Purpose: Gastric cancer (GC) has high morbidity and mortality, the cure rate of surgical treatment and drug chemotherapy is not ideal. Therefore, development of new treatment strategies is necessary. We aimed to identify the mechanism underlying Sp1 regulation of GC progression. Methods and Methods: The levels of Sp1, β-catenin, SET domain bifurcated 1 (SETDB1), and 15-hydroxyprostaglandin dehydrogenase (HPGD) were detected by quantitative reverse transcription polymerase chain reaction and western blot analysis. The targets of SETDB1 were predicted by AnimalTFDB, and dual-luciferase reporter assay was used for confirming the combination of Sp1, β-catenin, and SETDB1. HGC27 or AGS cells (1×10⁶ cells/mouse) were injected into mice via the caudal vein for GC model establishment. The level of Ki67 was detected using immunohistochemistry, and hematoxylin and eosin staining was performed for evaluating tumor metastasis in mice with GC. Results: HPGD was inhibited, while the protein levels of Sp1, β-catenin, and SETDB1 were up-regulated in GC tissues and cell lines. HPGD overexpression or SETDB1 silencing inhibited the proliferation, invasion, and migration of GC cells, and Sp1 regulated the proliferation, invasion, and migration of GC cells in a β-catenin-dependent manner. Furthermore, HPGD served as a target of SETDB1, and it was negatively regulated by SETDB1; additionally, Sp1 and β-catenin bound to the SETDB1 promoter and negatively regulated HPGD expression. We proved that Sp1 regulated GC progression via the SETDB1/HPGD axis. Conclusions: Our findings revealed that Sp1 transcriptionally inhibited HPGD via SETDB1 in a β-catenin-dependent manner and promoted the proliferation and metastasis of GC cells.

• Journal of Information Technology Applications and Management
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• 제30권2호
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• pp.1-18
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• 2023

Recently, as technology development has accelerated and product life cycles have been shortened, it is necessary to derive key product features from customers in the R&D planning and evaluation stage. More companies want differentiated competitiveness by providing consumer-tailored products based on big data and artificial intelligence technology. To achieve this, the need to correctly grasp the required quality, which is a requirement of consumers, is increasing. However, the existing methods are centered on suppliers or domain experts, so there is a gap from the actual perspective of consumers. In other words, product attributes were defined by suppliers or field experts, but this may not consider consumers' actual perspective. Accordingly, the demand for deriving the product's main attributes through reviews containing consumers' perspectives has recently increased. Therefore, we propose a review data analysis-based required quality methodology containing customer requirements. Specifically, a pre-training language model with a good understanding of Korean reviews was established, consumer intent was correctly identified, and key contents were extracted from the review through a combination of KeyBERT and topic modeling to derive the required quality for each product. RevBERT, a Korean review domain-specific pre-training language model, was established through further pre-training. By comparing the existing pre-training language model KcBERT, we confirmed that RevBERT had a deeper understanding of customer reviews. In addition, all processes other than that of selecting the required quality were linked to the automation process, resulting in the automation of deriving the required quality based on data.

• 한국음향학회지
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• 제28권7호
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• pp.646-652
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• 2009

본 논문에서는 점용접 너깃의 피로수명을 고려한 차량 서브프레임의 용접간격 최적화 설계기법이 제안된다. 주파수영역 피로해석기법에 의해 점용접 너깃의 피로수명이 평가된다. 피로해석에서 사용되는 입력 데이터는 벨지안로 프로파일을 통과하는 차량동역학 해석과 차량 서브프레임 유한요소모델의 모드 주파수 해석을 통해 얻는다. 주파수 영역 피로해석으로 부터 얻은 피로수명 결과로부터 용접간격 최적화를 수행 할 설계점들이 선정된다. 점용접 너깃의 피로수명을 최대화시키는 용접간격을 얻기 위하여 4-요인, 3-수준 직교배열 실험계획법이 사용된다. 본 연구를 통하여 최적화된 서브프레임은 초기모델에 비하여 최소 피로수명을 갖는 용접 너깃의 피로수명이 약 65.8 % 증대되는 것을 알 수 있다.