• 한국수정란이식학회지
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• 제25권4호
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• pp.251-258
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• 2010

In the present study, effects of concentration and time of culture in presence of roscovitine on nuclear maturation and meiotic spindle configuration, chromosomal alignment were examined in porcine oocytes. In experiment 1, porcine cumulus oocyte complexes (COCs) were cultured at $39^{\circ}C$ in a 5% $CO_2$ atmosphere in North Carolina State University 23 (NCSU-23) supplemented with 25, 50, 75 or $100\;{\mu}M$ roscovitine for 22 h and then were cultured for additional 22 h after removal of roscovitine. Nuclear maturation and morphology of the meiotic spindle and chromosomal alignment were examined to determine the optimal concentration of roscovitine in oocyte maturation. In experiment 2, COCs were cultured in NCSU-23 supplemented with $50\;{\mu}M$ roscovitine for 17, 20, 27 or 42 h and then an additional 22 h without roscovitine was followed to determine the optimal time of culture. The optimal concentration of roscovitine to arrest and resume meiosis of porcine oocyte was $50\;{\mu}M$ by examining nuclear status (p<0.05) and normal spindle and chromosome configuration. The optimal time of culture in presence of roscovitine to arrest meiosis of porcine oocyte was 17 h (p<0.05), although MII rates and normal morphology of the meiotic spindle and chromosomal alignment were not significantly different among various times of culture. In conclusion, the optimal concentration and time of culture in presence of roscovitine to arrest porcine oocytes are $50\;{\mu}M$ and 17 h, respectively.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.56.1-56
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• 2001

Initial attitude error is one of the large error sources in the navigation errors of SDINS. And it is important to decide the initial attitude of SDINS. The method, like a self-alignment or a transfer alignment method, is required to a precise INS. If we do not have a precise INS, we should get large attitude error. After performing the initial alignment, a vehicle has the initial attitude error. Therefore, it results in navigation error due to the initial attitude error. But, if we use position information during flight, we could estimate and compensate a vehicle attitude error. So, we can maintain a precise attitude in spite of existing the initial attitude error. Using the uplinked position information from a land-based radar system, the new algorithm estimates the attitude of the SDINS during flight ...

• 한국정보시스템학회지:정보시스템연구
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• 제22권1호
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• pp.89-116
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• 2013

The influence factors on the development of information technology(IT) infrastructure for knowledge management(KM) were not empirically investigated and identified. This study empirically examines the relationships among strategic performance measurement systems(SPMS), organizational learning, the strategic alignment of business strategy with information systems(IS) strategy, which is the necessary condition to provide the kinds of knowledge required for the successful realization of business strategy, and the active construction of IT infrastructure for KM. This study demonstrates that SPMS directly affects the organizational learning, with which the members of an organization acquire the types of knowledge about strategic goals or objectives and the ways attaining these goals, and indirectly influences the IS strategic alignment through organizational learning. Thus, the alignment between business strategy and IS strategy can be facilitated and activated by the adoption and implementation of SPMS. According to the results of this study, it is observed that the IS strategic alignment and organizational learning positively affect the activation of the development of KM IT infrastructure in a firm. The results of this study also shows that the construction of KM IT infrastructure, which supports the realization of KM activities, such as knowledge creation, transfer and sharing, can enhance the strategic position of a firm, and the intensified competitiveness of a firm can lead to the improvement of performance.

• 한국언어정보학회:학술대회논문집
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• 한국언어정보학회 2002년도 Language, Information, and Computation Proceedings of The 16th Pacific Asia Conference
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• pp.147-156
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• 2002

Aligned parallel corpora have proved very useful in many natural language processing tasks, including statistical machine translation and word sense disambiguation. In this paper, we describe an alignment technique for extracting transfer mapping from the parallel corpus. During building our system and data collection, we observe that there are three types of translation approaches can be used. We especially focuses on Traditional Chinese and Simplified Chinese text lexical translation and a method for extracting transfer mappings for machine translation.

• 제어로봇시스템학회논문지
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• 제7권4호
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• pp.362-368
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• 2001

We study on the velocity matching algorithm for transfer alignment of inertial navigation system(INS) using a robust H$_2$ filter. We suggest an uncertainty model and a discrete robust H$_2$filter for INS and apply the suggested robust H$_2$ filter to the uncertainty model. The discrete robust H$_2$filter is shown by simulation to have better performance time and accuracy than Kalman filter.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2010년도 춘계학술대회 논문집
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• pp.794-801
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• 2010

Recently the Korean Government is increasing investment and interest on railway in the transportation field as "low carbon and green growth" policy become main national development strategy. While railway competitiveness is weakening over the road from the inconvenient door-to-door and transfer system of railway, it is meaningful to review excellent railway transfer system of advanced countries and adapt their implications for Korea. Their transfer systems like Japan, Hongkong, France, U.K. and German can be categorized in this research as kinds of transfer & connectivity system and transfer facility & flow planning, and, as a result, their implications can be concluded. Also, analyzing transfer system of Korea's main stations and reviewing the difference between Korea and other countries, this paper suggests main principles and directions of urban planning, alignment of rail line, partnership of project stakeholder in the establishment of transfer system in the railway station in the future.

• 한국항행학회논문지
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• 제19권5호
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• pp.389-394
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• 2015

본 논문에서는 관성항법시스템의 전달정렬 기법인 속도정합에 대하여 지렛대 거리 오차와 속도 측정치의 시간 지연을 고려하였고, 시스템 레벨에서 성능을 향상시키기 위한 방법을 제안하였다. 먼저 확장형 칼만필터의 공정잡음과 측정잡음의 공분산 값에 따른 추정 성능을 분석하였다. 그리고 가관측성 분석을 통하여 방위각 자세 오차의 추정 성능을 향상시키기 위한 항체의 운항 조건을 제시하였고 시뮬레이션을 통하여 성능을 분석하였다. 방위각 자세 오차를 추정하기 위한 항체의 운항 조건을 분석하였는데 항체가 순항을 하는 경우에는 방위각 자세 오차를 추정하지 못하며 북측 혹은 동측 가속도가 있어야만 추정이 됨을 알 수 있었다.

• 한국콘텐츠학회논문지
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• 제13권8호
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• pp.482-489
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• 2013

본 연구는 일개 대학에서 e-Learning 수업을 듣고 있는 간호학과 학생 239명을 대상으로 학습전이 인식수준과 만족도에 영향을 미치는 e-Learning 교수설계 변인을 밝히고자 시행된 서술적 조사연구이다. 그 결과, 대상자의 학습전이 인식수준에 영향을 미치는 도입의 하부영역은 학습상황 및 방향제시, 학습자 초기 동기화로 나타났으며, 이는 41%의 설명력이 있었다(F=81.16, p<.001). 대상자의 학습전이 인식수준에 영향을 미치는 학습객체의 하부영역은 동기화, 학습목적 일치, 접근성, 피드백 및 적합으로 나타났으며, 이는 46%의 설명력이 있었다(F=50.69, p<.001). 대상자의 만족도에 영향을 미치는 도입의 하부영역은 학습상황 및 방향제시, 학습자 초기 동기화로 나타났으며, 이는 33%의 설명력이 있었다(F=59.32, p<.001). 대상자의 만족도에 영향을 미치는 학습객체의 하부영역은 동기화, 표현설계, 상호작용 유용성, 피드백 및 적합, 학습목적 일치, 콘텐츠 품질로 나타났으며, 이는 52%의 설명력이 있었다(F=43.93, p<.001). 이를 통해 대학 e-Learning 프로그램의 교수설계 요인이 학습자의 학습전이와 만족도에 영향을 미치고 있다는 것을 알 수 있었다. 이는 e-Learning 프로그램 교수설계 전략을 개발하기 위한 기초자료로서 활용될 수 있을 것이다.

• 한국위성정보통신학회논문지
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• 제9권1호
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• pp.90-96
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• 2014

본 논문은 무선충전기에 있어서 효율 증대 기법에 관한 것으로, 송수신 장치간 정렬상태를 수신 장치인 스마트폰에 표시할 수 있는 방법을 제시한다. 구현된 무선충전기는 세계 표준인 WPC( Wireless Power Consortium ) 방식을 기반으로 되어 있어 수 100kHz 이하의 주파수로 동작하고 누설 자속을 최소화할 수 있도록 자기장 차폐제를 사용한 송수신 코일 구조를 갖는다. 송수신 장치의 정렬 상태를 확인할 수 있는 종래 방식은 수신단 코일의 수신 레벨만을 표시하는 단순 방식이지만 본 방식은 수신 장치의 위치까지 알 수 있어 보다 진보된 방식이라 할 수 있다. 무선 충전기 송수신 장치의 정렬상태 검출을 위하여 수신 코일의 위치변화와 자기장 세기가 서로 선형관계에 있음을 확인하고 삼각측량법을 이용하여 이 선형관계가 위치 정보로 변환될 수 있음을 보였다. 실험을 통하여 선형관계에 영향을 미칠 수 있는 요소들을 분석하고 이 요소들을 최적화한 상태에서의 선형 특성을 가질 수 있음을 보였다.

• 한국군사과학기술학회지
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• 제24권4호
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• pp.382-391
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• 2021

Unsupervised domain adaptation often gives impressive solutions to handle domain shift of data. Most of current approaches assume that unlabeled target data to train is abundant. This assumption is not always true in practices. To tackle this issue, we propose a general solution to solve the domain gap minimization problem without any target data. Our method consists of two regularization steps. The first step is a pixel regularization by arbitrary style transfer. Recently, some methods bring style transfer algorithms to domain adaptation and domain generalization process. They use style transfer algorithms to remove texture bias in source domain data. We also use style transfer algorithms for removing texture bias, but our method depends on neither domain adaptation nor domain generalization paradigm. The second regularization step is a feature regularization by feature alignment. Adding a feature alignment loss term to the model loss, the model learns domain invariant representation more efficiently. We evaluate our regularization methods from several experiments both on small dataset and large dataset. From the experiments, we show that our model can learn domain invariant representation as much as unsupervised domain adaptation methods.