Currently, R&D investment of government is increased dramatically. However, the budget of the government is different depend- ing on the size of ministry and priorities, and then it is difficult to obtain consensus on the budget. They did not establish decision support systems to evaluate and execute R&D budget. In this paper, we analyze factors affecting research funds by linear regression and decision tree analysis in order to increase investment efficiency in national research project. Moreover, we suggested strategies that budget is estimated reasonably.

An attempt is given to the problem of analyzing the two-way binary attribute data using the logistic regression model in order to find a sound statistical methodology. It is demonstrated that the analysis of variance (ANOVA) may not be good enough, especi

In this paper, an analysis of two-way binary attribute data is performed using the logistic regression model in order to find a sound statistical methodology. It is demonstrated that the ANOVA may not be enough, especially for the case that the proportion is very low or high. The logistic transformation of proportion data could be a help, but not sound in the statistical sense. The adoption of generalized least squares(GLS) method entails much to estimate the variance-covariance matrix. On the other hand, the logistic regression methodology provides sound statistical background in estimating model parameters and related confidence intervals. The efficiencies of estimates are ensured with a simulated data with a view to demonstrate the usefulness of the methodology.

In the ALC(Autoclaved lightweight concrete) manufacturing process, if the pre-cured semi-cake is removed after proper time is passed, it will be hard to retain the moisture and be easily cracked. Therefore, in this research, we took the research by multiple regression analysis to find relationship between variables for the prediction the hardness that is the control standard of the removal time. We study the relationship between Independent variables such as the V/T(Vibration Time), V/T movement, expansion height, curing time, placing temperature, Rising and C/S ratio and the Dependent variables, the hardness by multiple regression analysis. In this study, first, we calculated regression equation by the regression analysis, then we tried phased regression analysis, best subset regression analysis and residual analysis. At last, we could verify curing time, placing temperature, Rising and C/S ratio influence to the hardness by the estimated regression equation.

The research shows misuse cases of quantitative regression analysis used in QC circle activity and six sigma movement which presents guidelines of correct use for quality practitioners. Additionally, the qualitative regression analysis that responses nonconforming ratio of variable y, is reviewed based on misuse cases for proper use by practitioners in the field. In most cases, there are frequent errors that involve the correlation analysis or ANOVA, regardless of using quantitative regression analysis. In addition, qualitative regression analysis for the nonconforming ratio that has dependent variable of discrete and categorical data, is often applied with quantitative regression and result in ineffective quality improvement.

It is not easy to predict the shrinkage rate of a plastic injection mold in its design process. The shrinkage rate should be considered as one of the important performances to produce the reliable products. The shrinkage rate can be determined by using the CAE tools in the design produces. However, since the analysis can take minutes to hours, the high computational costs of performing the analysis limit their use in design optimization. Therefore this study was carried out to presume for mutual relation of analysis condition to get the optimum average shrinkage by regression analysis. The results shown that coefficient of determination of regression equation has a fine reliability over 87% and regression equation of average shrinkage is made by regression analysis

시중 즉석 면류의 관능적 성질과 back extrusion test 데이터에 대하여 partial least square regression(PLSR)을 실시하였다. 즉석유탕면 8종과 즉석비유탕면 2종에 대한 관능적 속성으로서 경도(A), 탄성(B), 껄끄러운 정도(C), 이에 박히는 정도(D), 굵기감(E)를 검사하였고, 실험 데이터로 힘-변형 곡선 전체를 사용하였다. PLSR의 회귀계수는 힘-변형 곡선의 압착단계, 항복단계, 압출단계로 크게 구분되어 각 관능속성에 대한 특유의 양 또는 음의 효과를 나타냈다. PLSR의 상관계수는 E>D>A>B>C, 오차(root mean square error of prediction expressed in sensory units)는 D>C>E>B>A, 예측능(relative ability of prediction)는 D>C>E>B>A 로 나타나 종합적으로 ‘이에 박히는 정도’가 PLSR의 적용에 가장 우수하게 나타났다. ‘경도’는 예측능은 낮았지만 상관성은 높아서 시료간 순위의 결정에 합당하게 평가되었다.

본 연구는 도로기하구조 요인과 교통사고간의 관계를 규명하기 위하여 CART분석을 이용하여 전국의 4차로 국도를 대상으로 교통사고예측모형을 개발하고, 다중회귀모형, 확률회귀모형과 CART분석모형을 비교 분석하여 개발한 모형의 적합도를 검증하였다. 연구결과로는 첫째, 변수간의 복합적인 상호관계를 설명할 수 있는 CART분석을 이용하여 국도의 교통사고 예측모형을 개발하고 도로기하구조 요인에 따라 표준교통사고율을 의미하는 교통사고발생도표를 제시하였다. 둘째, CART분석모형에 근거하여 교통사고 발생률에 큰 영향을 미치는 도로기하구조 요인이 구간거리(km), 횡단보도폭(m), 횡단길어깨(m), 교통량 순으로 나타났다. 셋째, CART분석모형의 적합도 검증결과, CART분석모형이 실제교통사고율을 타 모형에 비해 전반적으로 잘 묘사하고 있었으나, 각 모형별로 교통사고율의 크기에 따라 교통사고율이 비교적 낮은 구간에서는 다중회귀모형이, 평균이상의 교통사고율을 나타내는 구간에서는 포아송 회귀모형의 예측력이 높았으며, CART분석모형은 교통사고율의 크기와 상관없이 우수한 예측력을 보였다. 넷째, 도출된 교통사고발생도표는 도로기하구조 조건에 따른 표준교통사고율을 제시해주기 때문에 도로설계 시에 안전한 기하구조 설계요소 선정기준을 제시 할 뿐만 아니라, 교통사고 잦은 지점개선사업추진 시 사업의 우선순위를 판단할 수 있는 기준을 제시하는 등 정책적 활용도가 매우 높을 것으로 판단된다.

  This paper investigates the relative effect of each ISO 9001：2000 quality management system’s requirement and business performance. The empirical tests are conducted in ISO 9001 certification companies.   As a result, the 1<SUP>st</SUP>, it shows the re

모바일 컨버전스가 확산되면서 많은 기업들은 다양한 기능을 통합한 컨버전스 제품을 출시하고 있다. 이러한 모바일 컨버전스는 휴대의 편의성과 디지털 기기의 특성상 기기들 간의 공통된 요소를 함께 사용할 수 있는 경제적인 측면과 사용상의 편리성 증가 등 여러 가지 장점을 가지고 있다. 그러나 컨버전스 경향에 힘입어 많은 제품이 시장에 출시되었으나 기대와는 달리 실패하는 사례가 발생하고 있다. 이것은 제품개발에 있어서 컨버전스 제품에 대한 소비자의 평가를 반영하는데 미흡한 결과로 볼 수 있다. 컨버전스 제품이 시장에서 살아남기 위해서는 제품의 우수성과 인프라 구축도 중요하지만 무엇보다도 소비자가 컨버전스 제품을 어떻게 평가하고 어떠한 요인의 영향을 받는지에 대한 이해가 필수적이라 할 수 있다. 그럼에도 불구하고 현재까지 모바일기기를 중심으로 제품 평가에 대한 연구가 미비했다. 따라서 본 연구는 모바일 컨버전스 제품에 대한 소비자 평가와 영향 요인을 알아보고자 한다. 본 연구는 설문조사 방법에 의해 이루어졌으며, 158명으로부터 수집한 자료는 분산분석과 다중회귀분석을 통해 분석하였다. 연구결과 상대적 이점, 복잡성, 관찰가능성(MP3, 게임), 지각된 편리성 등의 요인들이 유의적인 영향을 미치는 것으로 나타났다.

본 연구의 목적은 적응신경망퍼지추론시스템(ANFIS)과 회귀분석을 활용하여 7가지 역학적 특성치를 갖는 면직물의 시각적 질감을 해석하고 두 가지 방법을 비교하는 것이다. AMFIS는 퍼지 소속 함수와 신경망 구조를 갖는 것으로 인간의 비선형적 감성예측에 유용한 도구이다. 상관관계 및 회귀 분석의 통계분석은 7가지 역학적 특성치가 주관적 질감과 선형의 관계가 있음을 나타내었지만 설명력이 높지 않았고, 선형 이외의 관련성과 변수들 간의 상호작용을 표현하기 어려운 문제가 있었다. 통계분석과 비교하여, ANFIS는 변수들 간의 비선형적인 관련성과 상호작용을 가시적으로 보여주는데 설명력 있는 유용한 도구였으나, 입력 변수 중 출력 변수에 영향력이 있는 변수를 변별하지 못하여, 생성된 규칙의 수가 복잡한 문제가 있었다. 따라서 ANFIS의 해석이 단순하고 의미있는 모델을 구성하기 위해서는 영향력 있는 출력 변수를 추출하고 나머지 변수를 유사하게 통제하는 실험 모델의 구성이 필요하다.

Many studies have shown that the initial median frequency (MDF) and slope correlate with the muscle fiber composition. This study tested the hypothesis that the initial MDF and slope are fixed, regardless of the interval at which data are collected. MDF data using moving fast Fourier transformation of EMG signals, following local fatigue induced by isotonic exercise, were obtained. An inverse FFT was used to eliminate noise, and characteristic decreasing regression lines were obtained. The regression analysis was done in three different periods, the first one third, first half, and full period, looking at variance in the initial MDF, slope, and fatigue index. Data from surface EMG signals during fatiguing isotonic exercise of the biceps brachii and vastus lateralis in 20 normal subjects were collected. The loads tested were 30% and 60% maximum voluntary contraction (MVC) in the biceps brachii and 40% and 80% MVC in the vastus lateralis. The rate was 25 flexions per minute. There were no significant differences in the initial MDF or slope during the early or full periods of the regression, but there was a significant difference in the fatigue index. Therefore, to observe the change in the initial MDF and slope of the MDF regression line during isotonic exercise, this study suggest that only the early interval need to be observed.

모형저항시험 자료를 토대로 선형요소들에 대한 통계 회귀계수를 만들고, 이를 이용하여 새로운 어선의 기본설계 단계에서 유효마력을 추정할 수 있는 방법을 정립하였다. 이러한 방법을 Chine Line이 있는 소형 표준어선 4척과 Round Bottom형 표준어선 2척에 적용하여 유효마력을 추정하였으며, 이를 실험값과 비교하였다. 이 6척 어선의 경우 전속도 범위에서 추정치와 실험치가 잘 일치하고 있는 것과 근접한 것으로 나타났다. 그러므로 작성된 수치계산법은 어선의 유효마력추정에 매우 유용하게 쓰일 수 있음이 입증되었다. 따라서 제안된 방법을 어선설계에 적용하면, 직접적으로는 저항성능을 개선할 수 있을 뿐 아니라, 설계공수단축, 원가절감 등에 기여할 수 있을 것이다.

항만의 주요 정책 및 향후 운영계획 수립 시 정확한 물동량 예측에 관한 연구는 매우 중요하며 이러한 중요성으로 인해 관련 연구가 활발히 수행되고 있다. 본 논문에서는 국내 최대 석탄 및 철광석 처리 항만인 광양항을 대상으로 단계적 회귀분석과 인공신경망모형을 활용하여 모형간 예측력을 비교하였다. 2009년 1월부터 2019년 1월까지 총 121개월의 월별자료를 활용하였으며 석탄 및 철광석 물동량에 영향을 주는 요인을 선정하여 공급관련요인과 시장·경제관련요인으로 분류하였다. 단계적 회귀분석 결과, 광양항 석탄 물동량 예측모형의 경우, 입항선박 톤수, 석탄가격 및 대미환율이 최종변수로 선정되었고 철광석 물동량 예측모형의 경우, 입항선박 톤수, 철광석가격이 최종변수로 선정되었다. 인공신경망모형의 경우, 모델 성능에 영향을 미치는 다양한 Hyper-parameters를 조정하며 최적 모델을 선정하는 시행착오법을 사용하였다. 분석결과 인공신경망모형이 단계적 회귀분석에 비해 우수한 예측성능을 나타내었으며 예측 모형별 예측값과 실측값을 그래프 상 비교 시에도 인공신경망모형이 단계적 회귀분석에 비해 고·저점을 유사하게 나타냈다.

The study investigates the relationship between the inflation rate and economic growth to find out the optimal inflation threshold for economic growth. Therefore, this study applied an ordinary least square model (OLS) and the ordinal regression model, and collected the time-series data from 1996 to 2017 to test the relationship between inflation and economic growth in the short-term and long-term. The sample fits the model and is statistically significant. The study showed that 96.6% of correlation between inflation rate and economic growth are close and 4.5% of optimal inflation threshold is appropriate for economic growth. It finds that the optimal inflation threshold is base to perform economic growth, besides the inflation rate is positively related to economic growth. The results support the monetary policy appropriately. This study identifies issues for Government to consider: have a comprehensive solution among macroeconomic policies, monetary policy, fiscal policy and other policies to control and maintain the inflation and stimulate growth; have appropriate policies to regulate inflation to stimulate economic growth over the long term; set a priority goal for sustainable economic growth; not pursue economic growth by maintaining the inflation rate in the long term, but take appropriate measures to stabilize the inflation at the optimal inflation threshold.

In this study, the water quality components (pH, BOD, COD, TOC, SS, DO, TP) and the water quality, observed for 10 years (2008~2017) in the five tributaries of the Nakdong River with the highest flow rates, were analyzed. Monthly levels of the water quality components were estimated and regression functions were used to quantitatively explain the changes in the BOD and COD components, with respect to the TOC components. The results of analyzing the water quality levels in terms of the living environmental standards show that the lowest water quality was observed midstream (ST-3) and the highest water quality was observed upstream (ST-1 and ST-2). The regression function was estimated to be a linear function in all five tributaries, and the goodness of fit of the function was high upstream (ST-2), midstream (ST-3), and downstream (ST-4). According to the regression analysis using the observation data from 2008~2017, we found that the consumption of dissolved oxygen increased with an increase in organic matter in the major tributaries of the Nakdong River.

This study analyzes the error factors of cable tension estimation method using linear regression and suggests the upper and lower limits of tension error. The tension estimation method using linear regression is affected by errors such as boundary condition, natural frequency, cable length, and mass density. The boundary condition error analyzes the error rate for the case where the error occurs the greatest. The error of mass density and length is analytically derived, and the error of measurement natural frequency is analyzed by Monte Carlo simulation. Among these errors, the boundary condition error and the measurement natural frequency error are expected to be able to present the upper and lower limits of the error that can be caused to the estimated tension by the corresponding error factor.

Landfill and incineration tax was introduced in 2018 to reduce waste and promote recycling. However, there is a debate about tax rate. An analysis of the external effects of waste-treatment facilities is necessary, but first, an analysis of direct costs (construction, operation) is compulsory and must be conducted precisely. This study analyzed factors that affect operating cost. Ultimately, an estimation of annual operating cost was achieved by applying a multiple regression analysis to the previously-recorded data from 33 incineration facilities and 199 reclamation facilities. The results showed that incineration operating cost is affected by capacity, capacity utilization rate, and use of electricity. Annual landfill amount, area, and leachate treatment affect landfill operating cost, as well. The coefficient of determination is 0.6 or higher. Significance and collinearity between independent variables is at an acceptable level.

The main purpose of this study is to find out dimensions of English learning style which is manifest in English underachieving student in high school. In this study, 148 English underachieving high school students responded to questionnaire when it comes to English learning style. The items in the questionnaire were based on Learning Style Inventory (LSI) by Kolb (2007) who categorized student's learning style. The subjects' responses to the questionnaire were submitted to SPSS version 20.0 to analyze the salient dimensions of English learning style. The statistical results of factor analysis revealed three dimensions of English learning style of underachieving student: self-direction, creativity and reactivity. The contribution of three dimensions to English proficiency has been investigated through regression and cluster analysis, in which the more dimensions they had, the higher they had English proficiency level. The findings of this study showed that English learning style held by underachieving student could be explored on the basis of differentiated features in isolation from intermediate and high level student.