• Title/Summary/Keyword: demension

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ASSOUAD DIMENSION: ANTIFRACTAL METRIZATION, POROUS SETS, AND HOMOGENEOUS MEASURES

  • Luukkainen, Jouni
    • Journal of the Korean Mathematical Society
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    • v.35 no.1
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    • pp.23-76
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    • 1998
  • We prove that a non-empty separable metrizable space X admits a totally bounded metric for which the metric dimension of X in Assouad's sense equals the topological dimension of X, which leads to a characterization for the latter. We also give a characterization based on this Assouad dimension for the demension (embedding dimension) of a compact set in a Euclidean space. We discuss Assouad dimension and these results in connection with porous sets and measures with the doubling property. The elementary properties of Assouad dimension are proved in an appendix.

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The Study of Childhood in The Period of the Three States (삼국사기.삼국유사에 나타난 아동기고찰)

  • 신양재
    • Journal of the Korean Home Economics Association
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    • v.32 no.5
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    • pp.125-134
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    • 1994
  • The Purpose of this study is to explore the conceptions of childhood and the practices about childrearing in the period of the Three States. The method used for this study is the historical method and the literatures of analysis are The Chronicles of the Three States and The Heritage of the Three States. According to the results the conceptions of childhood in its boundary were that the point at which childhood in its boundary were that the point at which childhood ended was the age of 15. And the conceptions of childhood in its demension were that the age of 10 was important demension epitemologically and the age of 15 was important in political dimension. Also there were several practices of childrearing in the Three States. First the sweddling clothes were in use. Second a child was carried on adult's back. Third parents paryed for giving birth to their child and had a dream of conception. finally there were th child welfare works. Through this study we can have access to the understanding about cultural transmission process of childrearing in Korea.

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The Jeong-Gi-Shin study on the principle of Dan-Jeon respiration and Seon meditation (단전(丹田) 호흡(呼吸)과 화두(話頭) 참선(參禪)의 원리(原理)에 관(關)한 정기신론적(精氣神論的)인 비교(比較) 고찰(考察))

  • Kim, Kyeong-Chul
    • Korean Journal of Oriental Medicine
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    • v.2 no.1
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    • pp.307-313
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    • 1996
  • In order to study for the principle of the Dan-Jeon respiration and Seon meditation to be ascetic exercises for the sake of experience of Oriental medicine as practical science, they were investigated the theory of the Jeong-Gi-Shin. The results obtained were as fallows ; 1. The Dan-Jeon respiration was Mahayana of ascetic exercises to act demension of Gi to be observed two sides of material and spirit. 2. The Seon meditation was Mahayanea of exercises to experience demension of Shin to be the subject of life directly. 3. Even though Dan-Jeon respiration takes the golden mean of Shin, it belongs to the category of Jeon-Gi to correspond to appearance of material dimension. Seon meditation utilizes the Jeong-Gi in the stage of the golden mean of Shin. As results, Dan-Jeon respiration does not get out of the world of appearance centering around the Gi. But Seon meditation gets out of the world of appearance and utilizers the relativity in the free absoluteness.

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A Study on Factors Influencing the Health Promoting Behaviors in Postpartal Women (산욕부의 건강증진행위에 영향을 미치는 요인)

  • Jo Lucia;Choi Soon-Hee
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.5 no.2
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    • pp.353-361
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    • 1998
  • The purpose of this study was to determine the predictors of health promoting behavior in postpartal $4{\sim}6$ week women. The sample consisted of 104 postpartal women who experienced a vaginal delivery at four obstetrical clinics located in Kwangju city. Data were collected for two months from June 1 to July 30, 1997. Analysis of the data was done by use of percentage, t-test, ANOVA, Pearson's Correlation Coeficients, and Stepwise Multiple Regression. The results of this study were summarized as follows : 1. The range of total HPLP score was from 93 to 182 and the mean score of that was 142.28. In comparison of mean scores defending on each item of six demensions, self-actualization demension tended to showed hightest score(3.33) and exercise & rest demension, the lowest score(2.47). 2. The HPLP score was not significantly different defending on the general characteristics. 3. The HPLP score showed a positive correlation with family-support(r=.51) and self-efficacy(r=.41), but a inverse correlation with perceived barriers(r=-.27). 4. By using stepwise multiple regression analysis it was determined that the main influencing factors on the HPLP score were family-support(26%) and self-efficacy (8%). These variables made it possible to explain 34% of variance in HPLP score.

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Adaptive Two Dimensional Linear Prediction Algorithm For Estimating Incident Angles of Multiple Broadbamd Signals. (다수의 광대역 신호의 입사각 추정을 위한 이차원의 정응선형예측 알고리즘)

  • 김태원
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1987.11a
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    • pp.61-65
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    • 1987
  • An algorithm for estimating incident angles of multiple broaband signals is proposed. The method adopts semicausal model for two dimensional linear prediction filter coefficients such that the arithmatic averag of the mean squared values of the forward and reverse prediction arrors is minimized. Preliminary results demonstrating the performance of the proposed method are presented. Simulation results indicate that the performance depends on signal-to-noise ratio and prediction order in spatial demension.

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Linear programming技法에 있어서 Basic Matrix의 Bartels-Golub Decomposition 및 그 응용

  • 문영현
    • 전기의세계
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    • v.32 no.11
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    • pp.664-669
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    • 1983
  • 대규모 system을 취급하는 공학분야에 있어서 Matrix의 demension이 커짐에 따라 전산부담을 줄이기 위한 소요기억용량 절감 및 계산시간의 단축이 주된 관심사 중의 하나가 되어 왔다. LP(Linear Programming)기법 역시 대규모 선형 system에 적용될 경우 Basic Matrix 에 대한 dimensionality 문제를 포함하고 있으며 이에 대한 효과적인 해결방법으로 Bartels-Golub Decomposition 방법이 연구되어 있다. 이 방법은 Chan과 Yip등이 LSGA(Load Shedding and Generator Rescheduling) 문제에의 적용을 시도한 바 있으며, 일반적인 선형최적화 문제뿐만 아니라, dimensionality가 큰 Matrix의 Inverse 계산을 요하는 문제에 널리 적용될 수 있으므로 그 개요를 소개하고자 한다.

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Conversion Equation dB (Rion) to PPV(cm/sec) (dB과 cm/sec간의 환산실험식)

  • Huh Ginn
    • Explosives and Blasting
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    • v.9 no.2
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    • pp.3-7
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    • 1991
  • The Problem of vibration Inflence to housing Construction fields has arised at the begining of 1970, at That time I used Lion(VM -l2B) which recorded only dB Demension. On the 1980's I have been used lnstantel made blastemate(DS-477), modern Instrument for measuring speed, Acc, frequency and placement. but The most of Jobsite used Lion I Carried out the empirical equation of conversion dB to cm /sec as follows. Single free face : dB = 140PPV + 30 double free face : dB = 143PPV + 20 Above equation Could apply on Rock type 3(soft rock)

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A Study on Coordination Image of Korean city woman's Face Color (5YR 7/3) and Clothes Colors (한국도시여성의 얼굴색과 의복색과의 배색이미지에 관한 연구)

  • 이정옥
    • Journal of the Korean Home Economics Association
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    • v.33 no.2
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    • pp.168-180
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    • 1995
  • The purpose of present study was to examine how each clothes colors on the basis of 5YR 7/3 face color affect clothes colors images as follows : (1) what general consciousness of clothes colors in, (2) how the impression of the harmony of 5YR 7/3 face color and clothes colors is, (3) when we divide clothes colors according to the property of colors- chromatic color and achromatic color, cool color.neutral color.warm color, in tone, in color colume- if there is the difference of visual evaluation, (4) image analysis of 45 clothes colors with the view of each kind of adjectives. The result of this study is as the following: 1. As a result of the analysis of general consciousness on clothes colors, when subjects chose clothes, they most considered colors and they also considered their face colors. They would choose the color of clothes, which were becoming to their having clothes colors or their face colors when they bought clothes. 2. The impressions of coordination of 5YR 7/3 face color and clothes colors consisted of three dimensions - evaluation, activity and harmony. 3. It was known that as a result of the analysis of visual evalutional differences according to dividing the clothes colors by property of colors, there were such notable differences that they might effect the coordination images of face color and clothes colors differently. 4. After arranging 45 clothes colors on the graphs in 17 adjectives, gethering them thogether in each dimension and as the result of the analysis in the evaluation dimension, estimation of yellow, light green column were low and that of achromatic colors were high. That is, it was known that the evalution dimension was concerned with hue of the color properties. In activity dimension, there were different image according to each adjectives. That is, it was known that the evalution dimension was concerned with hue of the color properties. In activity dimension, there were different image according to each adjectives. That is, it was known that the activity demension was concerned with value and chroma of the color properties. In harmony dimension, achromatic columm was high and yellow, green yellow, vivid green columm were low in harmony. That is, it was known that the harmony demension was concerned with hue of the color properties.

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Demension reduction for high-dimensional data via mixtures of common factor analyzers-an application to tumor classification

  • Baek, Jang-Sun
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.3
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    • pp.751-759
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    • 2008
  • Mixtures of factor analyzers(MFA) is useful to model the distribution of high-dimensional data on much lower dimensional space where the number of observations is very large relative to their dimension. Mixtures of common factor analyzers(MCFA) can reduce further the number of parameters in the specification of the component covariance matrices as the number of classes is not small. Moreover, the factor scores of MCFA can be displayed in low-dimensional space to distinguish the groups. We propose the factor scores of MCFA as new low-dimensional features for classification of high-dimensional data. Compared with the conventional dimension reduction methods such as principal component analysis(PCA) and canonical covariates(CV), the proposed factor score was shown to have higher correct classification rates for three real data sets when it was used in parametric and nonparametric classifiers.

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