• 품질경영학회지
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• 제23권4호
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• pp.28-41
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• 1995

We consider the problem of identifying multiple outliers in linear model. The available regression diagnostic methods often do not succeed in detecting multiple outliers because of the masking and swamping effect. Recently, among the various robust estimator of reducing the effect of outliers, LMS(Least Meadian Square) estimator has been to be a suitable method proposed to expose outliers and leverage points. However, as you know it, the data analysis method with LMS estimator is to be taken the median of the squared residuals in the sample which is extracted the sample space. Then this model causes the trouble, for the number of the chosen sample is nCp, i.e. as the size of sample space n is increasing, the number is increasing fastly. And the covariance matrix may be the singular matrix, so that matrix is approching collinearity. Thus we propose a procedure ELMS for the resampling in LMS method and study the size of the effective elementary set in this algorithm.

• 천문학회보
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• 제46권1호
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• pp.31.3-32
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• 2021

We quantify the relative role of galaxy environment and bar presence on AGN triggering in face-on spiral galaxies using a volume-limited sample with 0.02 < z < 0.055, Mr < 19.5, and σ > 70 km s-1 selected from Sloan Digital Sky Survey (SDSS) Data Release 7. To separate their possible entangled effects, we divide the sample into bar and non-bar samples, and each sample is further divided into three environment cases of isolated galaxies, interacting galaxies with a pair, and cluster galaxies. The isolated case is used as a control sample. For these six cases, we measure AGN fractions at a fixed central star formation rate and central velocity dispersion, σ. We demonstrate that the internal process of the bar-induced gas inflow is more efficient in AGN triggering than the external mechanism of the galaxy interactions in groups and cluster outskirts. The significant effects of bar instability and galaxy environments are found in galaxies with a relatively less massive bulge. We conclude that from the perspective of AGN-galaxy coevolution, a massive black hole is one of the key drivers of spiral galaxy evolution. If it is not met, a bar instability helps the evolution, and in the absence of bars, galaxy interactions/mergers become important. In other words, in the presence of a massive central engine, the role of the two gas inflow mechanisms is reduced or almost disappears. We also find that bars in massive galaxies are very decisive in increasing AGN fractions when the host galaxies are inside clusters.

• International Journal of Reliability and Applications
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• 제1권2호
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• pp.123-131
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• 2000

This paper concerns with the consistent estimator for the fuzzy expectation of a random variable taking values in the space F($R^p$) of upper semicontinuous convex fuzzy subsets of $R^p$ with compact support. We introduce the concept of a fuzzy sample mean and show that the fuzzy sample mean is a strong consistent estimator for the fuzzy expectation. Some examples are given to illustrate the main result.

• 한국지능시스템학회논문지
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• 제11권4호
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• pp.307-310
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• 2001

확률 공간에서 퍼지 집합의 특징성의 측도에 관하여 소개한다. 이에 관한 Yager의 결과들을 개선 및 일반화하고 랜덤샘플에 의한 퍼지 집합의 특징성의 퍼지측도에 대한 극한에 대하여 연구하고자 한다.

• 대한가정학회지
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• 제42권2호
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• pp.1-18
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• 2004

The purpose of this study was to investigate the degree of relationship satisfaction and self-disclosure in real-space friend relations and cyber-space friend relations. The sample was 248 middle and high school students, and 107 undergraduates. The main findings of this study are as follows: 1) Relationship satisfaction is significantly higher in cyber-space friend relations than in real-space friend relations. 2) In contrast to relationship satisfaction, self-disclosure is significantly higher in real-space friend relations than in cyber-space friend relations. 3) Self-disclosure differs significantly in terms of grade, gender, number of friends, communication method, and daily internet usage.

• 한국주거학회논문집
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• 제12권4호
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• pp.33-43
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• 2001

This study had a aim to present a detailed investigation of the difference between the preoccupied and occupied space in the apartment house. In this connection, this study was to analyse the space configuration of the residential space with and without furniture for 3LDK plan in the apartment housing by the comparative method. The space configuration analysis which represents results a numeral and graphical ways is based on the relation between the space and the social changes. The results of this study were as follows; There were a various width of change of the integration value which represented the space configure between the residential space with and without furniture according to the sample plans. It means that the residential space redefine by residence, though the architect design the perfect plan to be considered user.

• KDI Journal of Economic Policy
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• 제45권3호
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• pp.25-48
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• 2023

The current article has explored the effect of productive capacities (as defined by the United Nations Conference on Trade and Development) and of structural economic vulnerability (as defined by the United Nations) on fiscal space volatility in developing countries. It relies on the definition and measure of fiscal space proposed by Aizenman and Jinjarak (2010; 2011) and Aizenman et al. (2019). To compute the indicator of fiscal space and hence that of fiscal space volatility, fiscal space is considered as the ratio of outstanding public debt to the 'de facto tax base', the latter being the number of years of tax revenues needed for a country to repay its debt. Results based on a sample of 116 countries from 2000 to 2018 have revealed that the enhancement of productive capacities is associated with lower fiscal space volatility, while higher structural economic vulnerability heightens fiscal space volatility. On another note, highly vulnerable countries tend to experience a higher negative effect of productive capacities on fiscal space volatility than relatively less vulnerable countries.

• International Journal of Aeronautical and Space Sciences
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• 제8권2호
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• pp.28-36
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• 2007

A multi-objective design exploration for a three-element airfoil consisted of a slat, a main wing, and a flap was carried out. The lift curve improvement is important to design high-lift system, thus design has to be performed with considered multi-angle. The objective functions considered here are to maximize the lift coefficient at landing and near stall conditions simultaneously. Kriging surrogate model which was constructed based on several sample designs is introduced. The solution space was explored based on the maximization of Expected Improvement (EI) value corresponding to objective functions on the Krigingmodels. The improvement of the model and the exploration of the optimum can be advanced at the same time by maximizing EI value. In this study, a total of 90 sample points are evaluated using the Reynolds averaged Navier-Stokes simulation(RANS) for the construction of the Kriging model. In order to obtain the information of the design space, two data mining techniques are applied to design result. One is functional Analysis of Variance(ANOVA) which can show quantitative information and the other is Self-Organizing Map(SOM) which can show qualitative information.

• 천문학회보
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• 제41권2호
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• pp.54.2-54.2
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• 2016

We present a machine learning approach to estimating stellar atmospheric parameters, effective temperature (Teff), surface gravity (log g), and metallicity ([Fe/H]) for stars observed during the course of the Sloan Digital Sky Survey (SDSS). For training a neural network, we randomly sampled the SDSS data with stellar parameters available from SEGUE Stellar Parameter Pipeline (SSPP) to cover the parameter space as wide as possible. We selected stars that are not included in the training sample as validation sample to determine the accuracy and precision of each parameter. We also divided the training and validation samples into four groups that cover signal-to-noise ratio (S/N) of 10-20, 20-30, 30-50, and over 50 to assess the effect of S/N on the parameter estimation. We find from the comparison of the network-driven parameters with the SSPP ones the range of the uncertainties of 73~123 K in Teff, 0.18~0.42 dex in log g, and 0.12~0.25 dex in [Fe/H], respectively, depending on the S/N range adopted. We conclude that these precisions are high enough to study the chemical and kinematic properties of the Galactic disk and halo stars, and we will attempt to apply this technique to Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST), which plans to obtain about 8 million stellar spectra, in order to estimate stellar parameters.

• 한국디지털건축인테리어학회논문집
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• 제9권1호
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• pp.49-59
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• 2009

This study examined the programs of public library and the spaces for them in Seoul and Gyunggi area. The examination was performed by making field surveys on 12 sample public libraries and posing user questionnaires on 4 libraries out of the sample. The data from the questionnaire survey were processed and analyzed with SPSS 14.0. The results are as follows: First, according to the arrangement of the furniture, the space usages for the programs in public libraries are divided into four classes, one-way exposure: free of furniture: two-way exposure. The one-way exposure has been the most common though the furniture arrangement varies with the characteristics of a program. Second, language or information technology related programs are the most frequently attended programs in public libraries. Lastly, the space usage for the reading education programs has had the highest level of the user satisfaction measurement while the user satisfaction is lower in those for general culture programs and health care programs.