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전자기력에 의한 연주 Slab 내의 교반유동에 관한 수치적 연구
이재헌,이성우,신영길,김희창 대한금속재료학회(대한금속학회) 1990 대한금속·재료학회지 Vol.28 No.1
A Numerical study was performed for the two-dimensional turbulent stirring flow created by linear motor in a continuous casting system. A k-εturbulent model was applied to solve time-averaged turbulent momentum equations within the computation domain. Four different situations in a stirring system being consisted of two-dimensional slab of 1 m(width) × 0.2 m(height) have been investigated, that is : Model (A) : W =0.1 m and B_0=0.01 tesla, Model (B) : W =0.3 m and B_0=0.01 tesla, Model (C) : W =0.1 m and B_0=0.02 tesla, Model (D) : W =0.3 m and B_0=0.02 tesla, where W is the length of linear motor and B_0 is the magnetic flux applied on the motor-side-surface of the slab. The results shows that the flow characteristics depends mainly on the magnetude of B_0 not on W. The order of the magnitudes of turbulent intensity at four flow situations were almost same. However, the magnitude of turbulent viscosity became much less in case of greater B_0 than in smaller B_0. Therefore it is recommended that the stirrer with greater B_0 should be used to make finer stirring action.
朴埈用,李雨憲,南暢祐 한국경제학회 2002 經濟學硏究 Vol.50 No.4
본고는 한국의 주식시장에 영향을 미치는 것으로 거론되는 거의 모든 거시변수들의 변동의 대부분을 설명하는 몇 개의 주성분(principal component)을 추출한 후 이들이 한국 주식시장에 미치는 영향을 시계열 및 횡단면 상에서 Fama-French의 3요인과 비교분석하였다. 시계열 분석을 통해서 Fama-French 요인의 역할이 매우 크고 중요하지만 Fama-French 요인 그 중에서도 가장 중요한 역할을 하는 시장요인은 거시요인에 의해 상당부분 설명가능하다는 사실을 발견하였고, 횡단면 분석을 통해서 Fama-French 요인 중 규모요인(SMB)과 가치요인(HML)이 유의하며, 이들 요인 못지 않게 혹은 그 이상으로 거시요인이 통계적으로 유의하다는 사실을 발견하였다. We extract fourteen macroeconomic factors from forty macroeconomic time series, and compare the effects of macroeconomic factors on Korean stock market with those of Fama and French's three factors. Through time series regressions, we find that the explanatory power of Fama and French's three factors dominates those of macroeconomic factors. However, we also find that most of the explanatory power of the market factor, which provides the strongest explanatory power in time series regressions, can be explained by the macroeconomic factors. Through cross-section regressions, we find that the size factor (SMB) and the value factor (HML) are statistically significant pricing factors, and that macroeconomic factors are no less significant pricing factors than SMB and HML.
Kwon, Yo Han,Woo, Sang‐,Wook,Jung, Hye‐,Ran,Yu, Hyung Kyun,Kim, Kitae,Oh, Byung Hun,Ahn, Soonho,Lee, Sang‐,Young,Song, Seung‐,Wan,Cho, Jaephil,Shin, Heon‐,Cheol,Kim, Je Y WILEY‐VCH Verlag 2012 Advanced Materials Vol.24 No.38
<P>The first ever demonstration of a cable‐type lithium ion battery architecture with outstanding omni‐directional flexibility is described by Je Young Kim, Heon‐Cheol Shin, and co‐workers on page 5192. The Front Cover image illustrates the unique battery architecture comprising a skeleton frame surrounding an empty space, that is, a hollow‐spiral anode with a multi‐helical structure. This design enables the battery to reliably power an LED screen or an MP3 player even under severe mechanical twisting and bending. </P>
A Fast and Exact Verification of Inter-Domain Data Transfer based on PKI
Im Y. Jung,Hyeonsang Eom,Heon Y. Yeom 한국데이타베이스학회 2011 Journal of information technology applications & m Vol.18 No.3
Trust for the data created, processed and transferred on e-Science environments can be estimated with provenance. The information to form provenance, which says how the data was created and reached its current state, increases as data evolves. It is a heavy burden to trace and verify the massive provenance in order to trust data. On the other hand, it is another issue how to trust the verification of data with provenance. This paper proposes a fast and exact verification of inter-domain data transfer and data origin for e-Science environment based on PKI. The verification, which is called two-way verification, cuts down the tracking overhead of the data along the causality presented on Open Provenance Model with the domain specialty of e-Science environment supported by Grid Security Infrastructure (GSI). The proposed scheme is easy-applicable without an extra infrastructure, scalable irrespective of the number of provenance records, transparent and secure with cryptography as well as low-overhead.
A Fast and Exact Verification of Inter-Domain Data Transfer based on PKI
Jung, Im-Y.,Eom, Hyeon-Sang,Yeom, Heon-Y. Korea Data Strategy Society 2011 Journal of information technology applications & m Vol.18 No.3
Trust for the data created, processed and transferred on e-Science environments can be estimated with provenance. The information to form provenance, which says how the data was created and reached its current state, increases as data evolves. It is a heavy burden to trace and verify the massive provenance in order to trust data. On the other hand, it is another issue how to trust the verification of data with provenance. This paper proposes a fast and exact verification of inter-domain data transfer and data origin for e-Science environment based on PKI. The verification, which is called two-way verification, cuts down the tracking overhead of the data along the causality presented on Open Provenance Model with the domain specialty of e-Science environment supported by Grid Security Infrastructure (GSI). The proposed scheme is easy-applicable without an extra infrastructure, scalable irrespective of the number of provenance records, transparent and secure with cryptography as well as low-overhead.
유휴 멀티 e-Science 그리드 자원 공유를 위한 통합 자원 접근 제어
정임영(Im Y. Jung),정은진(Eunjin Jung),염헌영(Heon Y. Yeom) 한국정보과학회 2008 정보과학회논문지 : 시스템 및 이론 Vol.35 No.9·10
본 논문은 e-Science 그리드 자원 공유를 위한 가볍고 솔기없는 통합 자원 접근제어를 제안한다. 그리드 컴퓨팅에 기반한 e-Science는 고가의 과학 실험 장비를 포함하는 그리드 자원을 원격조정하고 이로부터 얻은 데이타를 고성능 컴퓨터를 통해 처리하는 총체적인 도메인을 구성하여 과학자들의 연구를 돕는다. 그런데, 많은 사용자들이 그리드 자원을 이용할 때, 사용자가 소속된 e-Science 그리드에서 자원이 부족할 경우, 원하는 자원을 이용하기 위해 기다리거나 자원이용을 포기할 수 있다. 이런 경우, 적절한 보상 하에 타 그리드의 유휴 자원을 이용할 수 있으면 자원제공자와 사용자 모두에게 도움이 될 수 있다. 그런데, e-Science 그리드는 개개 그리드 단위로 특정 과학응용을 연구하는 과학자들의 사용편의를 위해, 가상 조직(Virtual Organization-VO)에 특화된 자원 접근정책이 운영되고 있기 때문에, 자원의 공유가 결코 쉬운 문제가 아니다. 본 논문은 e-Science 그리드 사용자가 복수 개 타 그리드의 공유자원을 이용할 때, 전체 그리드 차원의 자원접근정책 통합을 위한 선협정(Service Level Agreement-SLA)이 필요없어 가볍고, 사용자가 소속 그리드의 자원을 이용하는 것과 같은 과정으로 추가적인 등록이 필요하지 않아 솔기없는 새로운 통합 자원 접근 제어를 제안한다. This paper proposes a light-weight, seamless integrated access control for global e-Science resource sharing. E-Science, based on Grid Computing, was designed to help scientists to remotely control and process the Grid resources such as high-end equipments and remote machines. As many researchers engage in the e-Science Grids, the researchers in a grid often have to wait for or give up use of the Grid resources, even when there are idle resources in other Grids. In this case, provided that proper compensation is given, Grid resource sharing is helpful both for the researchers and the Grids which provide their resources. But, sharing Grid resources globally is not simple, as each e-Science Grid is especially designed for resource sharing in its Virtual Organization(VO) and already has its unique access control policy for its resources. This paper proposes a new integrated access control for e-Science Grid resource sharing. The access control is light-weight without any priori service level agreement(SLA)s among the Grids which share their resources and seamless because the users can use the resources shared as the ones belonging to their Grids without their additional registration to the other Grids.
Residual Multi-dilated convolution U-Net을 이용한 다중 심장 영역 분할 알고리즘 연구
임상헌 ( Sang-heon Lim ),최한승 ( H. S. Choi ),배희진 ( S. K. Jung ),정서경 ( J. K. Jung ),정진교 ( Myung-suk Lee ),이명숙 한국정보처리학회 2019 한국정보처리학회 학술대회논문집 Vol.26 No.1
본 연구에서는 딥 러닝을 이용하여 완전 자동화된 다중 클래스 전체 심장 분할 알고리즘을 제안하였다. 제안된 방법은 recurrent convolutional block과 residual multi-dilated block을 삽입하여 기존 U-Net을 개선한 인공신경망 모델을 사용하였다. 평가는 자동화 분석 결과와 수동 평가를 비교하였다. 그 결과 96.88%의 평균 DSC, 95.60%의 정확도, 97.00%의 recall을 얻었다. 이 실험 결과는 제안된 방법이 다양한 심장 구조에서 효과적으로 구분되어 수행되었음을 알 수 있다. 본 연구에서 제안된 알고리즘이 의사와 방사선 의사가 영상을 판독하거나 임상 결정을 내리는데 보조적 역할을 할 것을 기대한다.