• Journal of the Computational Structural Engineering Institute of Korea
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• v.13 no.4
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• pp.405-415
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• 2000

Time series of wind-induced pressure on a structure are modeled using autoregressive moving average (ARMA) model. In an AR process, the current value of the time series is expressed in terms of a finite, linear combination of the previous values and a white noise. In a MA process, the value of the time series is linearly dependent on a finite number of the previous white noises. The ARMA process is a combination of the AR and MA processes. In this paper, the ARMA models with several different combinations of the AR and MA orders are fitted to the wind-induced pressure time series, and the procedure to select the most appropriate ARMA model to represent the data is described. The maximum likelihood method is used to estimate the model parameters, and the AICC model selection criterion is employed in the optimization of the model order, which is assumed to be a measure of the temporal complexity of the pressure time series. The goodness of fit of the model is examined using the LBP test. It is shown that AR processes adequately fit wind pressure time series.

• Journal of Korea Society of Industrial Information Systems
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• v.26 no.1
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• pp.55-65
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• 2021

In this paper, a methodology for reinforcing reverse logistics (RL) activities in a closed-loop supply chain (CLSC) model is proposed. For the methodology, the activities of the recovery center (RC) which can be considered as one of the facilities in the RL are reinforced. By the reinforced activities in the RC, the recovered parts and products after checking and recovering processes of the returned product from customer can be reused in the forward logistics (FL) of the CLSC model. A mathematical formulation is suggested for representing the CLSC model with reinforced RL activities, and implemented using a hybrid genetic algorithm (HGA) approach. In numerical experiment, two different scales of the CLSC model are presented and the performance of the HGA approach is compared with those of some conventional approaches. The experimental results show that the former outperforms the latter in most of performance measures. The robustness of the CLSC model is also proved by regulating various rates of the recovered parts and products in the RC.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2006.04a
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• pp.59-63
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• 2006

지하수 모델 개발은 모델의 목적 설정, 자료수집, 개념모델의 수립, 모델 설계, 모델 보정 및 민감도 분석, 예측, 결과제시, 사후검사의 순으로 수행된다. 본 연구의 목표는 신뢰성 있는 지하수 모델 개발을 위해 주요 수문요소(hydraulic features)들을 개념화하는 단계에서 부딪히게 되는 문제점들을 국내의 지하수 환경에 비추어 고찰하였고, 하천 및 지하수 분수령에 대한 경계조건 설정, 암반층의 하부 경계면 설정 등과 같은 수문요소들이 내포하는 불확실성을 논의하였다. 또한 시범지역의 지하수 모델에 대한 민감도 분석을 통하여 이들이 모델 결과에 미치는 영향을 정량적으로 제시하였다.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.13 no.1
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• pp.129-138
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• 2002

Objectives：In order to treatment guideline of ADHD, present clinical practise of child psychiatrists and their opinion of optimal intervention were evaluated. Methods：Structured questionnaire items about diagnostic workup, drug choice of 5 different situations according to different co-morbid disorders, and non - pharmacological treatment were applied to 32 child psychiatrists working at university and general hospital. we compared the data with Texas Algorithm Project guideline. Results：(1) Intelligence Test, Sentence Completion Test, sustained attention test, and Conner's questionnaire were the basic routine test that must be performed. (2) Main trend of medication in this study was not different from TAP guideline. (3) In case of co-morbid tic disorder, first recommending drug is still psychostimulant in the TAP guideline. But in this study initial psychostimulant prescription was not main trend. (4) In case of MPH non-response co-morbid disruptive behavior disorder, MPH medication combined with other drug were more common than switching to other drug as suggested the TAP guidelines. (5) In non-pharmacological treatment, most child psychiatrists reported the importance of parent management. Conclusion：There were some difference in medication trend in this study compared with TAP guideline. Further study and conference are needed for experts consensus in Korea.

• Horticultural Science & Technology
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• v.32 no.2
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• pp.241-251
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• 2014

This study was carried out to develop a simple, rapid and reliable assessment model to predict cold tolerance in Pittosporum tobira, a broad-leaved evergreen commonly used in the southern region of South Korea, which can minimize the possible experimental errors appeared in a electrolyte leakage test for cold tolerance assessment. The modeling procedure comprised of regrowth test and a electrolyte leakage test on the plants exposed to low temperature treatments. The lethal temperatures estimated from the methodological combinations of a electrolyte leakage test including tissue sampling, temperature treatment for potential electrical conductivity, and statistical analysis were compared to the results of the regrowth test. The highest temperature showing the survival rate lower than 50% obtained from the regrowth test was $-10^{\circ}C$ and the lethal was $-10^{\circ}C{\sim}-5^{\circ}C$. Based on the results of the regrowth test, several methodological combinations of electrolyte leakage tests were evaluated and the electrolyte leakage lethal temperatures estimated using leaf sample tissue and freeze-killing method were closest to the regrowth lethal temperature. Evaluating statistical analysis models, linear interpolation had a higher tendency to overestimate the cold tolerance than non-linear regression. Consequently, the optimal model for cold tolerance assessment of P. tobira is composed of evaluating electrolyte leakage from leaf sample tissue applying freeze-killing method for potential electrical conductivity and predicting lethal temperature through non-linear regression analysis.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.07a
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• pp.384-385
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• 2017

과학 모델은 복잡한 자연현상을 단순화하고 패턴화한 것이다. 따라서 과학 모델은 특정한 알고리즘을 가지며, 과학 모델에 대한 이해는 모델이 갖는 특정한 알고리즘에 대한 이해와 직접적으로 관련되어있다. 본 연구에서는 많은 학생들이 대안 개념을 가지고 있는 산-염기를 주제로 하여, 이 모델이 가지는 알고리즘을 학습하기 위한 프로그램을 설계하고, 알고리즘을 학습 하였을 때 과학 학습에 미치는 효과를 확인하였다. 고등학생 3학년을 대상으로 4차시로 수업을 진행하였으며, 수업의 사전과 사후 검사를 실시하여, 학생들의 모델에 대한 이해를 분석하였다. 수업 결과, 학생들은 모델의 정의와 화학반응 및 화학평형의 정성적인 부분에서는 이해의 향상을 보였으나, 정량적인 부분에는 효과를 보이지 못하였다. 이는 화학이 많은 수의 입자를 고려해야 하는 독특한 과목의 특성에 기인하며, 이를 보완하기 위하여 추후 컴퓨터프로그램을 교육 도구로 사용하는 수업을 통해 후속연구를 진행하고자 한다.

• Proceedings of the CALSEC Conference
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• 1997.11a
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• pp.427-441
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• 1997

ㆍEXPRESS에 의한 AP214 Schema 정의 ㆍEXPRESS에 의한 Entity 정의 ㆍEXPRESS에 의한 TYPE, FUNCTION, RULE의 정의 ㆍAIM 축소 정보 모델 (Subset) 구성 ㆍAIM 축소 정보 모델의 예 ㆍ축소 정보 모델에 근거한 소규모 PDM시스템 AP214 개요 정식 명칭 : Core Data for Automotive Design and Processes 파트 번호 : ISO 10303-214 제안시기 : 1992년 STEP 시애틀 회의 (독일에 의하여 제안) 대상 내용 : 자동차의 기획 단계로부터 스타일링, 설계, 실험, 공정 계획, 툴 설계 및 제작, 품질 검사에 이르는 수명 전 주기상에 발생되는 제품 관련 정보 현 상태 : CD(Committee Draft) DIS (Draft International Standard) 표결 진행중(중략)

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1578-1580
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• 2012

모델 검증은 시스템이 만족해야 하는 속성을 자동으로 검사하는 정형 검증 기법으로써, 많은 도메인에서 활용되고 있다. 특히 모델 검증 도구들에 따라 상태 공간 탐색 방식이 다르고, 상태 공간 탐색 방식에 따라서 생성되는 반례도 달라진다. 본 논문에서는 모델 검증의 대표적인 도구인 SPIN과 SMV에서 생성하는 반례를 상호 비교한다.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.5
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• pp.626-630
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• 2010

Since the paper plagiarism has become one of important social issues, it is necessary to develop system for measuring the similarity between papers. The speed and accuracy of the system are very important features. So many researchers are studying the features. In this paper, we propose a preprocessing method using 'Global Dictionary' model to enhance performance of the system. The global dictionary includes information of all words in the document repository. The system uses the model to find similar papers with low computing time. Finally our experiment showed that a set of more than 20,000 documents could be reduced to about 50 documents drastically by our filtering techniques, which proves the excellence of our system.

• Journal of Gifted/Talented Education
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• v.18 no.3
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• pp.371-400
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• 2008

The purposes of this study were to develop and validate Korean MHBT for identification of giftedness. MHBT in this study consists of KFT-HB and MHBT-5. MHBT-S was composed of 1) space presentation and thinking ability, space perception,. physics/technic tasks 2) affective domain; creativity, achievement motivation, desire of knowledge, social competence questionnaire 3) performance attitude questionnaire 4) interest questionnaire. The subject were 489 middle school students (1 or 2grade) in the education centers for gifted youth and general classes. Except a few subscales, internal consistent reliability was considered good. Korean MHBT discriminated well gifted students from general students in KFT-HB and some subtests of MHBT-5. As results, Korean MHBT in this study was expected to be a reliable and valid instrument for identification of korean gifted students.