• Proceedings of the Korean Society for Cognitive Science Conference
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• 2000.05a
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• pp.114-120
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• 2000

본고는 일본어 극어 dare-mo/-demo의 의미를 밝히고 나아가 그 허용맥락을 제시하는 것에 목적을 둔다. 이를 위해 본고는 dare-mo/-demo의 의미가 다음 네 가지 요인에 의해 결정된다고 주장한다: 첫째는 변항적 성격의 비한정사 dare이고 둘째는 고저강세 유형, 셋째는 가능성의 척도(Likelyhood Scale)에 기반한 -mo/demo의 의미, 마지막으로는 이러한 척도를 형성시켜주는 맥락(context)이다. 이 네 가지 요인이 상호 작용하여, daRE-MO/DAre-mo/daRE-DEMO/DAre-demo 각각의 의미를 만들어 낸다. 또한 본고는 dare-mo/-demo의 분포를 통해 드러나는 극어들 사이의 의미 차이를 척도(scale)상의 양(quantity)과 질(quality)이라는 측면에서 제시하였다. 즉 -mo 결합형의 경우 양에 민감한 가능성의 척도가 고려되는 것에 비해, -demo 결합형에서는 양뿐 아니라 질에도 민감한 척도가 고려된다. 그 결과 -demo 결합형들은, 양적 측면과 연관하여 조건/명령/외연적 맥락 등에서 존재 양화의 의미로 해석될 수 있다. 또한 질적인 면에서 하한가(lower bound)까지 허용하는 강한 양보의 의미(derogative sense)를 갖는다는 점에서 특징적이다.

• Proceedings of the KSME Conference
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• 2001.06d
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• pp.821-827
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• 2001

As one of the advanced design features of the Korea next generation reactor, direct vessel injection (DVI) system is being considered instead of conventional cold leg injection (CLl) system. It is known that the DVI system greatly enhances the reliability of the emergency core cooling (ECC) system. However, there is still a dispute on its performance in terms of water delivery to the reactor core during the reflood period of a large-break loss-of-coolant accident (LOCA). Thus, experimental validation is under progress. In this paper, a new scaling method, using time and velocity reduced linear scaling law, is suggested for the design of a scaled-down experimental facility to investigate the direct ECC bypass phenomena in PWR downcomer.

• The Journal of Korean Academy of Sensory Integration
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• v.18 no.2
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• pp.42-54
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• 2020

Objective : The purpose of this study was to define a standard score of Sensory Processing Scale for Children (SPS-C) and its concurrent validity by correlation with the Short Sensory Profile (SSP). Methods : The subjects were children enrolled in nurseries and kindergartens in Busan and Gyeongnam. We defined the standard score of the SPS-C and identified its concurrent validity for 337 children. Both the SPS-C and SSP instruments were used to assess the children's sensory processing ability. The collected data were analyzed using SPSS 24.0. A statistical analysis was used to define the standard score for SPS-C based on the mean and SDs of -1 and -2. To identify the concurrent validity of the SPS-C, the correlation between it and SSP was measured using Pearson's correlation analysis. Results : The ranges of total standard scores on the SPS-C were classified as follows: 115~160 indicated "Typical Performance"; 105~114 indicated "Probable Difference"; and finally, 50~104 indicated "Definite Difference." Concurrent validity was ascertained using the Pearson correlation between the total scores of the SPS-C and the SSP; the Pearson correlation coefficient was .755, indicating a statistically significant correlation. Conclusion : This study suggests the standard score of the SPS-C for interpreting results in clinical settings and confirms that it is a valid tool for evaluating children's sensory processing ability.

• The KSFM Journal of Fluid Machinery
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• v.19 no.5
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• pp.50-60
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• 2016

A design methodology of the modeled test facility to conserve an injection performance of a passive safety injection system is proposed. This safety injection system is composed of a core makeup tank and a safety injection tank. Individual tanks are connected with pressure balance line on the top side and injection line on the bottom side. It is important to conserve the scaled initial injection flow rate and total injection time since this system can be operated by small gravity head without any active pumps. Differential pressure distribution of the injection line induced by the gravity head is determined by the vertical length and elevation of each tank. However, the total injection time is adjustable by the flow resistance coefficient of the injection line. The scaling methodology for the tank and flow resistance coefficient is suggested. A key point of this test facility design is a scaling analysis for the flow resistance coefficient. The scaling analysis proposed on this paper is based on the volume scaling law with the same vertical length to the prototype and can be extended to a model with a reduced vertical length. A set of passive injection test were performed for the tanks with the same volume and the different length. The test results on the initial flow rate and total injection time showed the almost same injection characteristics and they were in good agreement with the design values.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.1568-1572
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• 2007

지역빈도해석은 우리나라와 같이 자료 기간이 짧은 경우 지점빈도해석보다 더 정확한 확률강우량을 산정할 수 있는 기법이다. 지역빈도해석을 통한 확률강우량 산정 결과는 수문학적으로 동질한 지역의 구분 결과에 따라 달라진다. 지역을 구분할 때에는 강우에 영향을 미치는 다양한 변수들이 사용될 수 있다. 변수의 유형과 개수가 지역 구분의 효율성을 좌우하기 때문에 활용 가능한 모든 변수들의 정보를 요약할 수 있는 변수들을 선택하는 것이 지역 구분의 효율성 면에서 유리하다고 할 수 있다. 이런 면에서 지역 구분의 효율성을 증대시킬 목적으로 다변량 분석 기법이 활용될 수 있다. 본 연구에서는 주성분 분석, 요인 분석, Procrustes analysis와 같은 다변량 분석 기법을 활용하여 42개의 강우 관련 변수들을 33개의 변수로 줄일 수 있었다. 분석 결과 변수 개수 감소로 인한 정보 손실은 크지 않은 것으로 나타났다. 따라서 이러한 기법에 의한 변수 차원의 축소는 지역 구분의 효율성 향상에 기여할 수 있는 것으로 판단된다. 선정된 변수들을 바탕으로 군집해석을 수행하여 지역을 구분하였고, L-모멘트에 근거한 이질성척도(H)를 활용하여 구분된 지역의 동질성을 검토하였다. 또한 L-모멘트에 근거한 적합성 척도(Z)를 적용하여 구분된 지역에 적합한 확률분포형을 선정하였고, 선정된 적정 확률분포형을 바탕으로 각 지역에 대한 성장 곡선(growth curve)을 유도하였다.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2010.04a
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• pp.729-732
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• 2010

본 논문에서는 이산 변수 최적화에 적합한 유전 알고리듬을 이용하여 복합재 적층 패치의 최적강도설계를 수행하였다. 기저판(substrate)와 접착제(adhesive), 그리고 복합재 적층 패치로 이루어진 구조물에서 패치의 강도를 효율적으로 구하기 위해서 응력 함수 기반의 해석적 방법을 도입하였다. 면외 방향의 응력 함수를 가정하여 가상 공액일의 법칙(complementary virtual work principle)에 적용하였으며, 복합재 패치의 자유 경계조건으로부터 면내 방향의 응력함수를 결정하였다. 응력 함수를 통하여 구한 층간 응력 값은 자유 경계 효과를 잘 나타내었고, 이를 이용하여 패치의 강도 해석을 수행하였다. 강도 해석 시, 복합재 패치의 파괴 기준은 면내 응력들에 대해서는 최대 응력 척도를 사용하였으며, 층간 응력들에 대해서는 quadratic delamination 척도를 사용하였다. 유전 알고리듬을 이용한 최적강도설계 과정에서는 임의의 염색체가 주어진 적층 구속 조건을 만족할 수 있게 수정(repairing)하는 과정을 도입하였다. 또한 다수의 전역해(global optima)를 효과적으로 찾기 위해서 multiple elitism 기법을 도입하였다. 응력 함수 기반의 강도 해석방법과 유전 알고리듬과의 연계를 통한 복합재 적층 패치의 강도최적설계 기법은 패치 구조물의 해석 및 설계에 있어서 효율적인 도구로서 사용할 수 있을 것이라 사료된다.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.39 no.2
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• pp.163-168
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• 2015

In order to perform estimations with high reliability, it is necessary to deal with the tail part of the cumulative distribution function (CDF) in greater detail compared to an overall CDF. The use of a generalized Pareto distribution (GPD) to model the tail part of a CDF is receiving more research attention with the goal of performing estimations with high reliability. Current studies on GPDs focus on ways to determine the appropriate number of sample points and their parameters. However, even if a proper estimation is made, it can be inaccurate as a result of an incorrect threshold value. Therefore, in this paper, a GPD based on the Akaike information criterion (AIC) is proposed to improve the accuracy of the tail model. The proposed method determines an accurate threshold value using the AIC with the overall samples before estimating the GPD over the threshold. To validate the accuracy of the method, its reliability is compared with that obtained using a general GPD model with an empirical CDF.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.36 no.8
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• pp.921-927
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• 2012

Reliability-based design optimization (RBDO) can be used to determine the reliability of a system by means of probabilistic design criteria, i.e., the possibility of failure considering stochastic features of design variables and input parameters. To assure these criteria, various reliability analysis methods have been developed. Most of these methods assume that distribution functions are continuous. However, in real problems, because real data is often discrete in form, it is important to estimate the distributions for discrete information during reliability analysis. In this study, we employ the Akaike information criterion (AIC) method for reliability analysis to determine the best estimated distribution for discrete information and we suggest an RBDO method using AIC. Mathematical and engineering examples are illustrated to verify the proposed method.

• Journal of the Korea Convergence Society
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• v.8 no.4
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• pp.111-122
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• 2017

The purpose of this study was to develop a computer-based cognitive bias modification program (CBM-I) and to test the efficacy of CBM-I for college students with social anxiety. Forty socially anxious individuals were randomly assigned to the CBM-I(n=21) or a waiting list condition(n=19). Both groups were assessed at the beginning and the end of the program with interpretation bias and social anxiety symptoms(e.g. B=FNE=Brief-Fear of Negative Evaluation Scale, LSAS=Liebowitz Social Anxiety Scale). The CBM-I modified interpretation by providing positive feedback when participants made benign interpretations and negative feedback in response to threat interpretations. Participants in CBM-I completed three computer sessions over three weeks. The CBM-I successfully decreased social anxiety symptoms compared to the control condition(t=2.35, p<.05; t=4.70, p<.001). This result suggests that interpretation modification may have clinical utility when applied as a multi-session intervention.

• Transactions of the Korean Society of Mechanical Engineers
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• v.12 no.5
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• pp.1138-1149
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• 1988

Experiments have been conducted to investigate mean thermal structure in unstable turbulent thermal convection between two horizontal flat plates. The upper plate was kept at a constant cold temperature and the bottom plate at a constant hot temperature. Both air and water were used as its working fluids. Chamber aspect ratios were 3.80 and 6.17, the mean temperature differences between two plates were 2.6-9.3.deg. C, whose Rayleigh numbers in a range 6.13*10$^{5}$ -1, 07*10$^{8}$ . The heat transfer correlations obtained through the experiments are Nu=0.139R $a^{0.285}$ for air and Nu=0.087 R $a^{0.319}$ for water. Profiles of the mean temperature gradient clearly show the -2 and 1 4/3 power law regions.