• Journal of The Korean Astronomical Society
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• v.38 no.4
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• pp.463-470
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• 2005

In this paper, we have made the component-based development of observational software for KASI solar imaging spectrograph (KSIS) that is able to obtain three-dimensional imaging spectrograms by using a scanning mirror in front of the spectrograph slit. Since 2002, the KASI solar spectrograph has been successfully operated to observe solar spectra for a given slit region as well as to inspect the response functions of narrow band filters. To improve its capability, we have developed the KSIS that can perform sequential observations of solar spectra by simultaneously controlling the scanning mirror and the CCD camera via Visual C++. Main task of this paper is to introduce the development of the component-based software for KSIS. Each component of the software is reusable on the level of executable file instead of source code because the software was developed by using CBD (component-based development) methodology. The main advantage of such a component-based software is that key components such as image processing component and display component can be applied to other similar observational software without any modifications. Using this software, we have successfully obtained solar imaging spectra of an active region (AR 10708) including a small sunspot. Finally, we present solar $H{\alpha}$ spectra ($6562.81{\AA}$) that were obtained at an active region and a quiet region in order to confirm the validity of the developed KSIS and its software.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.34 no.3
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• pp.3-10
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• 2018

The purpose of this study is to suggest the direction and recognition for applying to component of Emotion of the elementary school space with characteristics of child development. For the accomplishment of the study is to deduce types of emotional component and characteristics of child development based on literature and advanced research related to 'Child development and behavior', 'The elementary school space', and concept of 'children' and 'emotion'. In addition, The level of recognition of teachers and students about creation plan of school space by types of emotion component and preference and relationships of students on emotion component of elementary school space is investigated. The space environment has great influence in childhood going through big changes in physical, cognitive, emotional and social ways, Providing space environment built with emotion component such as 'affordance', 'diversity', 'territoriality', and 'relationships' considering characteristics of child development is most important of all, In particular, when building indoor space in elementary schools where students going through various development stages live, providing friendly environments for emotion of children put top priority on students in the decision-making process and guaranteed the participation of students is expected.

• Publications of The Korean Astronomical Society
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• v.32 no.1
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• pp.209-211
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• 2017

We performed Principle Component Analysis (PCA) over 264 galaxies in the IRAS Revised Bright Galaxy Sample (Sanders et al., 2003) using 12, 25, 60 and $100{\mu}m$ flux data observed by IRAS and 9, 18, 65, 90 and $140{\mu}m$ flux data observed by AKARI. We found that (i)the first principle component was largely contributed by infrared to visible flux ratio, (ii)the second principal component was largely contributed by the flux ratio between IRAS and AKARI, (iii)the third principle component was largely contributed by infrared colors.

• Journal of the Korean housing association
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• v.17 no.5
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• pp.159-167
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• 2006

This study is analyzed comparison about the component ratio of dwelling space in the existing plan and residents dwelling needs. Also, it is analyzed the residence factors of area component change that residence satisfaction and importance according to the behavioral patterns of residents. The results are as follows. 1) Total area component ratio of the existing plan was 39.5:40.8:19.7% and dwelling consciousness one was 36.4:44.0:19.6%. Compared private space with public space, public area requested increase rather than private area. 2) In the 17, 19pyung-types dwellers are not happy about dining kitchen and utility room and types of 21, 23pyung-types are dissatisfied in room-2 and room-3, living room and dining kitchen are dissatisfied, too. In case of areas over 25pyung-types are dissatisfied in room-3 and room-4. 3) The behavioral patterns of apartment residents were classified six acts, and the most significant factors are appeared associated the acts of ceremony, relation of neighborship, and reception. The next significant factors are appeared associated the acts of family relation, about food life. So, it is concerned with the scale of public room.

• Korean Institute of Interior Design Journal
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• v.20 no.3
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• pp.161-171
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• 2011

The purpose of this study is to examine the preferences about component elements of Public Space of apartment housing in Daegu. This study is based on the survey of thirty nine apartment complex in seventeen construction companies to create images and component elements types. Also, by using an questionnaire analysis derived from a precedent study, component elements in the porch and interior common space of apartment residents are comprehended. The survey analysis of the porch is researched and divided according to a form of porch, designs and lights of ceiling. Interior common space is analyzed by several elements; forms of core, designs and lights of ceiling, design of walls and floors, necessity of windows, and necessity of public facilities. The questionnaire is composed of 40 items and it was returned by one hundred sixty two respondents. As a result of the study, After the enforcement of price deregulation, the porch and interior common space of apartments has had improved quality. However, by questionnaire survey of respondents showed preferences of each element and necessary facilities. Thus, i hope that this study is an excellent source for apartment design.

• Journal of the Korean Operations Research and Management Science Society
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• v.36 no.1
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• pp.13-26
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• 2011

In order to explain the U-shaped pattern of autocorrelations of stock returns i.e., autocorrelations starting around 0 for short-term horizons and becoming negative and then moving toward 0 for long-term horizons, researchers suggested the use of a state-space model consisting of an I(1) permanent component and an AR(1) stationary component, where the two components are assumed to be independent. They concluded that auto-regression coefficients derived from the state-space model follow a U-shape pattern and thus there is mean-reversion in stock prices. In this paper, we show that only negative autocorrelations are feasible under the assumption that the permanent component and the stationary component are independent in the state-space model. When the two components are allowed to be correlated in the state-space model, we show that the sign of the auto-regression coefficients is not restricted as negative. Monthly return data for all NYSE stocks for the period from 1926 to 2007 support the state-space model with correlated noise processes. However, the auto-regression coefficients of the ARIMA process, equivalent to the state-space model with correlated noise processes, do not follow a U-shaped pattern, but are always positive.

• Communications for Statistical Applications and Methods
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• v.20 no.3
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• pp.175-184
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• 2013

Kernel principal component analysis(PCA) maps observations in nonlinear feature space to a reduced dimensional plane of principal components. We do not need to specify the feature space explicitly because the procedure uses the kernel trick. In this paper, we propose a graphical scheme to represent variables in the kernel principal component analysis. In addition, we propose an index for individual variables to measure the importance in the principal component plane.

• The Bulletin of The Korean Astronomical Society
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• v.35 no.2
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• pp.53.1-53.1
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• 2010

Earth's polar motion has been known for more than one century, and it has been monitored by astrometric observation and recently by space geodetic technique. The Chandler and the annual wobbles are two dominant parts of Earth's polar motion. But according to our recent analysis on a relevant and accurate dataset, another polar motion component, of which period is about 500 days, exists with an amplitude of 20 milliarcseconds in average. This third largest component of polar motion should be caused by resonance of unidentified oscillating mode of Earth, possibly Earth's inner core wobble.

• Korean Institute of Interior Design Journal
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• v.24 no.4
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• pp.43-50
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• 2015

In lighting design and lighting in the light of how the physical space rather than the amount of light metering is implemented in the same space as horizontal illuminance and luminance study of the spatial analysis as a basis for improving the quality of scientific and cognitive aspects analyzed the vertical component of the light. Vertical component of the light and the ability to interpret the information space can be secured more easily sense the brightness of a small area compared to the horizontal components of electrical energy, due to the contrast between the dark and the surrounding induce customers to public facilities or commercial space The pedestrian aids to facilitate the determination of the copper. In addition, to secure the brightness of the overall sense of space allows to have a sense of comfort to lower the tension of the space. The vertical component of light also has a deep relationship to improving the quality of light in electrical energy savings increase the accessibility of space, space, nightscape in the humanities also contribute to environmental and looking for one trillion people in the city in terms of cultural development and identity There.

• Communications for Statistical Applications and Methods
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• v.27 no.1
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• pp.149-161
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• 2020

In this paper we extend the functional principal component analysis for real-valued random functions to the case of Hilbert-space-valued functional random objects. For this, we introduce an autocovariance operator acting on the space of real-valued functions. We establish an eigendecomposition of the autocovariance operator and a Karuhnen-Loève expansion. We propose the estimators of the eigenfunctions and the functional principal component scores, and investigate the rates of convergence of the estimators to their targets. We detail the implementation of the methodology for the cases of compositional vectors and density functions, and illustrate the method by analyzing time-varying population composition data. We also discuss an extension of the methodology to multivariate cases and develop the corresponding theory.