• 한국통신학회논문지
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• 제30권9C호
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• pp.860-870
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• 2005

본 논문에서는 karnaugh map(k-map)상의 셀을 이용하여 $2^{n}$개의 서로 다른 극수(polarity)를 갖는 GRM(Generalized Reed-Muller)상수를 생성하는 새로운 기법을 제안하였다. n개의 입력변수에 대한 일반적인 GRM 함수의 생성 방법은 단일 변수에 대한 변환 행렬을 구하고 이를 n번의 Kronecker 곱을 행한 변환 행렬을 이용하여 GRM 상수를 구하는 것이다. 이런 방법을 사용하는 경우, 변수의 숫자가 증가함에 따라 변환 행렬의 차수가 $2^{n}\times2^{n}$로 커지는 단점을 갖는다. 이에 반하여 본 논문에서는 k-map상에서 변수를 축약시킨 셀 [$f_{i}$]을 구하고 이를 단일 변수 변환 행렬과 연산하여 GBM 상수를 구하는 새로운 기법을 제안한다. 본 논문에서 제안한 새로운 방법과 타 논문과의 비교를 한 결과, 기존 방법은 가산기, 승산기, KP(Kronecker 곱 승산기)회로가 필요한데 반하여 본 논문에서는 가산기만이 필요하므로 효율적인 VLSI 설계에 유리하다

• 천문학회보
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• 제36권2호
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• pp.131.1-131.1
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• 2011

We present applications of clustering methods to detect variability in massive astronomical time series data. Focusing on variability of bright stars, we use clustering methods to separate possible variable sources from other time series data, which include intrinsically non-variable sources and data with common systematic patterns. We already finished the analysis of the Northern Sky Variability Survey data, which include about 16 million light curves, and present candidate variable sources with their association to other data at different wavelengths. We also apply our clustering method to the light curves of bright objects in the SuperWASP Data Release 1. For the analysis of the SuperWASP data, we exploit a elastically configurable Cloud computing environments that the KISTI Supercomputing Center is deploying. Two quite different configurations are incorporated in our Cloud computing test bed. One system uses the Hadoop distributed processing with its distributed file system, using distributed processing with data locality condition. Another one adopts the Condor and the Lustre network file system. We present test results, considering performance of processing a large number of light curves, and finding clusters of variable and non-variable objects.

• 한국산림과학회지
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• 제2권1호
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• pp.33-36
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• 1962

• Journal of the Korean Data Analysis Society
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• 제20권6호
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• pp.2829-2840
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• 2018

음이 아닌(non-negative) 측정값을 가지는 확률변수에 있어서, 영(0)이 과도하게 측정되는 자료를 반연속형(semi-continuous) 자료와 영-과잉(zero-inflated) 자료로 구분한다. 이러한 자료에서는 특정 확률 분포(probability distribution) 하에서의 확률보다 훨씬 큰 확률로 0을 관측하게 되는데, 연속형(continuous) 확률분포를 고려하는 경우에는 반연속형으로, 이산형(discrete) 확률분포를 고려하는 경우에는 영-과잉이라고 한다. 본 연구에서는 경계값(0)의 측정 여부에 관한 모형과 0보다 큰 확률변수에 대한 확률분포를 활용한 모형 등 두 개의 부문으로 이루어진 모형, 즉 2-부문 모형(two-part model)을 소개하고자 한다. 특히, 이산형 확률분포 중 포아송 분포와 음이항 분포를 고려한 영-과잉 회귀모형(regression model)을 설명하고 그 특성을 파악하고자 한다. 실증연구에서는 이러한 영-과잉 회귀모형을 활용하여 지난 10년(2009년부터 2018년) 간 한국의 여름철(6-8월) 폭염주의보(heat-wave advisory) 및 폭염경보(heat-wave warning) 발생일수를 적합하였다. 또한 공간예측기법 중 하나인 범용크리깅(universal kriging)을 이용하여 적합결과를 바탕으로 한 폭염 발생일수에 대한 예측지도를 작성하였다.

• 가정과삶의질연구
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• 제10권1호통권19호
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• pp.27-42
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• 1992

This study focused on consumer information search activity and consumer's post-purchase satisfaction. For these purpose, a survey was conducted suing questionaires on 430 homemakers that lived in seoul. Statistics used for data were Frequency Distribution. Percentile, Mean, One-way AAANOVA., Scheffe-test, T-test, Pearson's correlation. Multiple Regression Analysis and Multiple Classification Analysis. The major findings were ; 1) The level of each amount information search was lower than average. And the level of consumer's post-purchase satisfaction was a little higher than average. 2) On amount of "noncommercial-personal" information search, the influencing variables were desire to seek information, education, brand royalty in turn. These three variables explained 7% of dependent variable's variance. 3) On amount of "noncommercial-media" information search, the influencing variables were desire to seek information, amount of internal information, education, occupational status in turn. These variables explained 14% of dependent variable's variance. 4) On amount of "commercial-personal" information search, the influencing variable was desire to seek information, and this variable explained 3.1% of dependent variable'a variance. 5) On amount of "commercial-media" information search, the influencing variables were desire to seek information, education, amount of internal information in turn. These three variables explained 12.1% dependent variable's variance. 6) Resulting from multiple classification analysis, influencing variables on consumer's post-purchase satisfaction were amount of noncommercial-media information search and printed media search, and brand royalty. These three variables explained 9% of dependent variable's variance. Furthermore, througout all the subareas of consumer's satisfaction, the amount of noncommercial-media information search was the most influencing variable.

• 한국수학교육학회지시리즈A:수학교육
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• 제58권4호
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• pp.531-543
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• 2019

본 연구는 2009개정 교육과정과 2015개정 교육과정을 반영한 교과서에서 연속확률분포를 정의하고 도입하는 방법에 대해 비교 분석하였다. 2015개정 교육과정을 반영한 확률과 통계 교과서는 연속확률변수를 가부번집합인 확률변수로 정의하기보다는 특정 범위의 모든 실숫값을 가지는 확률변수로 정의하였다. 또한 연속확률분포를 도입함에 있어 균등분포를 이용한 방법과 상대도수밀도를 이용한 방법을 사용하였다.

• 한국컴퓨터정보학회논문지
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• 제16권4호
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• pp.127-135
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• 2011

백트래킹을 이용한 깊이우선탐색에서 해를 빨리 찾기 위한 방법 중 하나는 결정변수의 순서를 효과적으로 배열하는 것이다. 이 때 문제의 동적 및 정적 특성을 고려한 변수 순서화 알고리즘 개발은 매우 중요한 문제이다. 그러나 문제에 적합한 최적의 변수 순서화 알고리즘을 개발하는 것은 어려운 문제이다. 본 논문에서는 변수의 속성에 기반을 두어 문제의 형태를 규정하는 문제분류규칙을 제안하고 이 규칙을 이용하여 문제에 적합한 변수 순서화 알고리즘의 형태를 예측할 수 있게 한다. 결정변수가 동적 및 정적 특성을 갖는 DS-type 문제로서 주파수 할당문제를 선택하여 최적의 변수 순서화 알고리즘을 예측한다. 또한 문제분류규칙에 의해 생성되지 않는 특별한 형태의 문제인 기지국 위치문제를 적용하여 제안하는 문제분류규칙의 효용성을 입증한다.

• Journal of Preventive Medicine and Public Health
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• 제40권6호
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• pp.495-504
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• 2007

Objectives : This study attempts to show how studies using non-experimental data can strengthen causal inferences by applying propensity score and instrumental variable methods based on the counterfactual framework. For illustrative purposes, we examine the effect of having private health insurance on the probability of experiencing at least one hospital admission in the previous year. Methods : Using data from the 4th wave of the Korea Labor and Income Panel Study, we compared the results obtained using propensity score and instrumental variable methods with those from conventional logistic and linear regression models, respectively. Results : While conventional multiple regression analyses fail to identify the effect, the results estimated using propensity score and instrumental variable methods suggest that having private health insurance has positive and statistically significant effects on hospital admission. Conclusions : This study demonstrates that propensity score and instrumental variable methods provide potentially useful alternatives to conventional regression approaches in making causal inferences using non-experimental data.

• Asia pacific journal of information systems
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• 제32권2호
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• pp.249-274
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• 2022

This study is to focuses on users' attitudes toward augmented reality games. Based on the Technology Acceptance Model (TAM) and Flow theory, continuous usage intention was set as a dependent variable, and immersion was set as a mediating variable. As independent variables, spatial presence, perceived interactivity, perceived pleasure, and sickness were set. Besides, this study strived to compare and analyze Korean and Chinese Data. The results of this study were as follows. First of all, Korean users significantly affected spatial presence, perceived pleasure, and immersion. Spatial presence and perceived pleasure had also mediated effects on continuous usage intention through immersion. However, perceived interactivity and sickness did not affect immersion and even no mediating effect to continuous usage intention. In the case of Chinese users, spatial presence, perceived interactivity, and perceived pleasure were grouped into one variable. This variable influenced immersion and also had mediated effect on continuous usage intention. However, sickness, like Korean users, did not affect the set path. This study had implications for analyzing user perspective using immersion, a significant variable in previous research. In addition, this study found similarities and characteristics through a comparative analysis between Korean and Chinese users indirectly.

• Smart Structures and Systems
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• 제20권1호
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• pp.23-33
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• 2017

Variable Curvature Friction Pendulum (VCFP) bearing is one of the alternatives to control excessive induced responses of isolated structures subjected to near-fault ground motions. The curvature of sliding surface in this isolator is varying with displacement and its function is non-spherical. Selecting the most appropriate function for the sliding surface depends on the design objectives and ground motion characteristics. To date, few polynomial functions have been experimentally tested for VCFP however it needs comprehensive parametric study to find out which one provides the most effective behavior. Herein, seismic performance of the isolated structure mounted on VCFP is investigated with two different polynomial functions of the sliding surface (Order 4 and 6). By variation of the constants in these functions through changing design parameters, 120 cases of isolators are evaluated and the most proper function is explored to minimize floor acceleration and/or isolator displacement under different hazard levels. Beside representing the desire sliding surface with adaptive behavior, it was shown that the polynomial function with order 6 has least possible floor acceleration under seven near-field ground motions in different levels.