• Proceedings of the Materials Research Society of Korea Conference
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• 1992.05a
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• pp.18-18
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• 1992

• 한국전산유체공학회:학술대회논문집
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• 2007.10a
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• pp.7-19
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• 2007

[ ${\Box}$ ] Biomimetics is the abstraction of good design from nature. ${\Box}$ Nature works for Maximum achievement at Minimum effort. ${\Box}$ When designing a new product, we can often find the right qualities and properties in a natural product.

• Journal of applied mathematics & informatics
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• v.22 no.1_2
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• pp.541-547
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• 2006

A procedure for investigating the influence of observations in choosing Box-Cox transformation for multivariate data is suggested. It is effective in spotting influential observations. A numerical example is provided for illustration.

• Proceedings of the Korea Contents Association Conference
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• 2014.11a
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• pp.15-16
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• 2014

제품/서비스의 전체 사용 경험 주기에서 사용자 인지와 수용에 영향력을 행사하는 첫 단계에 해당하는 OOBE(Out of Box Experience)를 Mobile App 서비스에 맞게 재구성하였다. 본 연구는 "사용자가 서비스를 획득하고(Acquire), 서비스 사용을 준비하다가(Prepare), 어느 시점에서 본격적으로 서비스를 사용하기 시작(First Use)"하는 3단계를 제시한다.

• Proceedings of the Korea Concrete Institute Conference
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• 1997.04a
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• pp.436-441
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• 1997

A Formulation based on macroelement concept is developed to analysis the prestressed concrete box girder bridges. The proposed method enables to model the arbitrary shapes and boundary conditions of prestressed concrete box girder bridges. The validity of the algoriyhm is demonstrated through comparisons with other results.

• Communications for Statistical Applications and Methods
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• v.1 no.1
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• pp.131-140
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• 1994

Box-Jenkins 시계열 분석에서 모형검진을 위한 통계량으로 잔차의 자기상관함수를 이용한 Box와 Pierce(1970)의 포트맨토우 검정과 Ljung과 Box(1978)의 변형된 포트맨토우 검정을 Basawa(1987)가 제안한 예측오차를 이용한 모형 검진 방법과 비교, 분석하였다. 시뮬레이션 연구를 수행하여 경험적 평균, 분산 및 유의 수준을 비교하여 과대적합의 방법을 이용하여 검정력을 비교하였다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2010.11a
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• pp.785-786
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• 2010

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2011.06a
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• pp.1215-1216
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• 2011

• Bulletin of the Korean Chemical Society
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• v.6 no.6
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• pp.381-382
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• 1985

• Molecules and Cells
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• v.20 no.1
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• pp.35-42
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• 2005

A novel combined method for locating box H/ACA small nucleolar RNAs (snoRNAs) is described, together with a software tool. The method adopts both a probabilistic hidden Markov model (HMM) and a minimum free energy (MFE) rule, and filters possible candidate box H/ACA snoRNAs obtained from genomic DNA sequences. With our novel method 12 known box H/ACA snoRNAs, and one strong candidate were identified in 30 nucleolar protein genomic sequences.