• Journal of The Korean Astronomical Society
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• v.15 no.2
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• pp.71-77
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• 1982

According to the star formation rate and metal enrichment rate given by the disk-halo model of Lee and Ann (1981), the two different forms of time-dependent initial mass function (IMF) and the present day mass function (PDMF) of nearby stars have been examined. It was shown that the constraint for the initial rapid metal enrichment requires the time-dependence of IMF at the very early phase ($t{\lesssim}5{\times}10^8$ yrs) of the solar neighborhood. The computed PDMF's show that the PDMF is nearly independent of any specific functional form of IMF as long as the latter includes a Gaussian distribution of log m. This result is due to the very small fractional mass $({\times}5%)$ of stars formed at the very early period during which the IMF is time-dependent. The computed PDMF suggests the presence of more numerous low mass stars than shown in Miller and Scalo's (1979) PDMF, supporting the possibility of the existence of low-velocity M dwarfs. According to the number distribution of stars with respect to [Fe/H], the mean age of these low mass star must be very old so as to yield the mean metal abundance $\bar{[Fe/H]}{\approx}-0.15$ for the stars in the solar neighborhood.

• The Journal of Korean Academy of Prosthodontics
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• v.29 no.2
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• pp.129-145
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• 1991

The purpose of this study was to analyze the stresses and displacements of various esthetic restorations and abutment teeth. The finite element models of central incisor were divided into four groups according to the types of restoration. Three load cases were applied; 1) 45 degrees on the incisal edge, 2) horizontal force on the labial surface, and 3) 26 degrees diagonally on the lingual surface. Material property, geometry, and load conditions of each model were inputed to the two dimensional finite element program and stresses and displacements were analyzed. Results were as follows; 1. In the cases of porcelain fused gold ann and porcelain laminate venner, stresses were equally distributed in supporting abutment tooth. 2. The metal coping of porcelain fused gold u and collarless porcelain fused gold crown functioned as a good stress distributor. 3. When the horizontal load applied, the highest tensile and compressive stresses were seen in the cervical margin of restoration and the dentin of the abutment tooth. 4. The highest displacement of restoration was seen when load was applied at an mee of 26 degrees diagonally in lingual surface of tooth in centric occlusion. 5. The influence of loading direction on the stresses and displacements in the restoration was greater than that of various design. 6. The possibility of fracture was highest in porcelain jacket crown.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.12A
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• pp.1828-1835
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• 2000

In this paper, we analyzed the other-cell interference characteristics for various non-uniform traffic distributions and their effects on the capacity of multi-cell CDMA system. We consider three different traffic distributions, i.e., linear, exponential and Gaussian traffic distribution with distribution parameters. Changing the distribution parameter, we can obtain the center-focused distributions or uniform distributions for each model. From the results of other-cell interference calculation we can see that the other-cell interference decreases, as the user concentrates on the base station. Also using frequency reuse efficiency indicating the capacity reduction of a multi-cell system when compared to a single cell system, we evaluate the effect of traffic distribution on the reverse link CDMA capacity. For linear case, the capacity of multi-cell system is reduced to 0.637∼0.867 times that of single cell system. On the other hand, for both exponential and Gaussian cases, the capacity under a multi-cell environment is equal to 70∼100% of that under a single cell. Therefore, we conclude that the average capacity of multi-cell CDMA system are increased when users are likely to be at near the cell base station due to reduced total other-cell interference and decreased when users exist at near the cell edge regardless of traffic distribution models.

• Journal of Ginseng Research
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• v.31 no.4
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• pp.217-221
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• 2007

Ginseng has been widely used for the management of anxiety and emotional instability, but there is little experimental evidence supporting these clinical applications. The anxiolytic-like effect of ginseng saponin and polysaccharide fractions of white (WG) and red ginsengs (RG) was investigated using the elevated plus-maze test. The saponin (SF) and polysaccharide (PF) fractions were orally administered to male ICR mice for 3 days and behavioral test for the anxiolytic activity were performed. SF significantly increased the time-spent open arms and number into the in the open arm entries. However, PF weakly increased the time-spent in the open arms, but did not increase number into the open ann entries. The WG showed more potent anxiolytic-like effect than that of RG. The anxiolytic-like activities were antagonized by flumazenil, but not by esmolol. These findings suggest the saponin fractions of WG and RG promote the anxiolytic-like activity by antagonizing GABN/benzodiazepine receptors in mice.

• Journal of the Korea Safety Management & Science
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• v.7 no.5
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• pp.155-174
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• 2005

Parametric life-cycle cost(LCC) models have been integrated with traditional design tools, and used in prior work to demonstrate the rapid solution of holistic, analytical tradeoffs between detailed design variations. During early designs stages there may be competing concepts with dramatic differences. Additionally, detailed information is scarce, and decisions must be models. for a diverse range of concepts, and the lack of detailed information make the integration make the integration of traditional LCC models impractical. This paper explores an approximate method for providing preliminary life-cycle cost. Learning algorithms trained using the known characteristics of existing products be approximated quickly during conceptual design without the overhead of defining new models. Artificial neural networks are trained to generalize on product attributes and life cycle cost date from pre-existing LCC studies. The Product attribute data to quickly obtain and LCC for a new and then an application is provided. In additions, the statistical method, called regression analysis, is suggested to predict the LCC. Tests have shown it is possible to predict the life cycle cost, and the comparison results between a learning LCC model and a regression analysis is also shown

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.6
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• pp.997-1007
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• 2010

This study examines the role of consumer perception of social presence in e-tailing websites. The study proposes that the perception of social presence influences the variables that are important for e-tailers to build a relationship with consumers, which are the attitudes of consumers toward an e-tailer and patronage intentions toward the e-tailer. This study hypothesizes that the attitudes of consumers are influenced by individual perceptions of social presence that guide their patronage intentions. Consumer trust and their affective states are hypothesized to serve as mediators in the relationship between consumer perception of social presence and the attitudes toward an e-tailer. Sixty-one female students were used to test the proposed model. The findings from regression and mediation analyses supported all hypotheses, suggesting that the perception of social presence plays a significant role in consumer shopping habits for apparel: consumer perception of social presence influences consumer trust and affective states that modify attitudes toward an e-tailer and consumer patronage intentions. The theoretical and managerial implications for apparel e-tailers are discussed.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.141-141
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• 2017

본 연구에서는 대하천의 8개의 수질인자(수온, 용존산소, 수소이온농도, 전기전도도, 총질소, 총인, 탁도, 클로로필-a)를 예측할 수 있는 인공신경망모델을 개발하였다. 인공신경망모델(ANN)은 수질데이터가 가지는 불확실성 및 비정상성, 복잡한 상호관련성에 효과적으로 대응할 수 있는 데이터기반 모델이다. 데이터기반 모델의 특성상 예측정확도를 높이기 위해서 양질의 입력데이터를 구성하는 것이 가장 중요하다. 때문에 각각의 수질인자뿐만 아니라 기상학적 인자 또한 예측을 위한 입력자료로 사용하였으며, 요인분석 및 층화표층추출법을 적용하여 입력데이터를 구성하였고 앙상블기법을 이용하여 추가적으로 예측의 정확도를 향상시켰다. 개발된 모델을 이용하여 지천유입이 있는 북한강의 수질자료를 예측한 결과 탁도를 제외한 7개의 수질인자 모두 0.85 이상의 설명력을 보였으며, 실측값과 예보값을 비교해본 결과 평균적으로 10% 미만의 에러값을 나타냈다. 요인분석을 통하여 연관성있는 인자를 입력인자로 추가한 경우 향상된 결과값을 보였주었으며, 앙상블기법을 적용한 결과 정확도 면에서 큰 향상을 보여주었다.

• Journal of the Society of Naval Architects of Korea
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• v.31 no.4
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• pp.82-98
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• 1994

A mathematical model for the hydrodynamic forces acting on the ship manoeuvring in waves is formulated and a numerical method for the problem is developed. The motion of a ship, which manoeuvres in waves, may be thought to have two components; one is a high frequency component due to encounter waves, and the other is a low frequency component due to manoeuvring motion. So the method of two time scale expansion is used to divide linear boundary value problem. For the effects of waves on the manoeuvring motion of a ship, only the second order drift forces are considered. The integral equation for the velocity potential is solved by 3 dimensional panel method and hydrodynamic forces are calculated by direct integral method.

• Computers and Concrete
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• v.20 no.6
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• pp.627-634
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• 2017

Predicting the compressive strength of concrete is important to assess the load-carrying capacity of a structure. However, the use of blended cements to accrue the technical, economic and environmental benefits has increased the complexity of prediction models. Artificial Neural Networks (ANNs) have been used for predicting the compressive strength of ordinary Portland cement concrete, i.e., concrete produced without the addition of supplementary cementing materials. In this study, models to predict the compressive strength of blended cement concrete prepared with a natural pozzolan were developed using regression models and single- and 2-phase learning ANNs. Back-propagation (BP), Levenberg-Marquardt (LM) and Conjugate Gradient Descent (CGD) methods were used for training the ANNs. A 2-phase learning algorithm is proposed for the first time in this study for predictive modeling of the compressive strength of blended cement concrete. The output of these predictive models indicates that the use of a 2-phase learning algorithm will provide better results than the linear regression model or the traditional single-phase ANN models.

• Journal of Auto-vehicle Safety Association
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• v.11 no.2
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• pp.23-28
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• 2019

This paper presents an optimal performance of rear wheel steering vehicle for maneuverability. The maneuverability of vehicle is evaluated in terms of yaw rate, body slip angle and driver input. The maneuverability of vehicle can be improved by rear wheel steering system. To obtain optimal performance of rear wheel steering vehicle, the optimal control history is designed. The high dimensional trajectory optimization problem is solved by formulating a quadratic program considering rear wheel steer input. To evaluate handling performance 7 degree-of-freedom vehicle model with actuation sub-models is designed. A step steer test is conducted to evaluate rear wheel steering vehicle. A response time, a TB factor, overshoot, and yaw rate gain are investigated through objective criteria, assessment webs. The handling performance of vehicle is evaluated via computer simulations. It has been shown from simulation studies that optimal controlled rear wheel steering vehicle provides improved performance compared to others.