• Journal of Korea Technology Innovation Society
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• v.19 no.4
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• pp.687-710
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• 2016

This study aims to empirically estimate distributed lag effects of expenditure by type of R&D on scientific publication in the national R&D program. To analyze the lag structure between them, we used a dataset comprised of panel data from 104 technologies categorized by 6T (IT, BT, NT, ST, ET, CT) from 2007 to 2014, and employed multiple regression analysis based on the polynomial distributed lag model. This is because it is highly likely to emerge multicollinearity, if a distributed lag model without special restrictions is applied to multiple regression analysis. The main results are as follows. In the case of basic research, its lag effects are relatively evenly distributed during four years. On the other hand, the applied research and experimental development have distributed lag effects for three years and two years respectively. Therefore, when it comes to analyzing performance of scientific publication, it is necessary to be performed with characteristics of the time lag by type of R&D.

• Fire Science and Engineering
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• v.28 no.2
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• pp.69-75
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• 2014

This study derives the factors which affect the occurrence of arson from statistical data (population, economic, and social factors) by multiple regression analysis. Multiple regression analysis applies to 4 forms of functions, linear functions, semi-log functions, inverse log functions, and dual log functions. Also analysis respectively functions by using the stepwise progress which considered selection and deletion of the independent variable factors by each steps. In order to solve a problem of multiple regression analysis, autocorrelation and multicollinearity, Variance Inflation Factor (VIF) and the Durbin-Watson coefficient were considered. Through the analysis, the optimal model was determined by adjusted Rsquared which means statistical significance used determination, Adjusted R-squared of linear function is scored 0.935 (93.5%), the highest of the 4 forms of function, and so linear function is the optimal model in this study. Then interpretation to the optimal model is conducted. As a result of the analysis, the factors affecting the arson were resulted in lines, the incidence of crime (0.829), the general divorce rate (0.151), the financial autonomy rate (0.149), and the consumer price index (0.099).

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.33-33
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• 2017

수문모형들은 유역차원의 저감대책 수립 및 평가에 유용하게 사용될 수 있고 이를 활용한 합리적인 예측이 가능하다. 한국의 미계측 유역에 대한 유사발생량 예측을 모델을 개발하였다. 본 연구에서 개발한 예측모형의 특징은 신뢰할 수 있는 관측 자료를 활용하여 단계별 다중회귀분석을 이용하여 매개변수를 결정하였으며, 최소한의 입력자료를 이용하여 전국 규모의 연평균 유사발생량을 예측할 수 있다는 것이다. 본 연구에서 개발된 모형을 활용하여 4대강 유역의 중권역별 유사량을 추정하였다. 수자원장기 종합에서 사용한 중권역별 강우 자료를 활용하여 모의를 수행하였다. 2001년부터 2015년 까지 15년까지 모의결과 4대강 유역 전체적으로 연 강우량의 변동에 따라 유사발생량도 증감하는 패턴을 나타내고 있으며, 그 주기는 약 8년 정도로 추정되었다. 4대강 주요 중권역을 대상으로 2010년에 추정된 비유사량을 K-DRUM 예측값 및 유량조사사업단 추정값과 비교하여 모델의 활용성을 검토하였다. 유사량 예측의 불확실성을 감안할 때 본 연구에서 개발된 모델을 이용하여 1차 스크리닝 수준에서 미계측 유역에 대한 비유사량 예측이 가능할 것으로 판단되며, 향후 미계측 유역에 대한 유사관리계획 수립에 활용될 수 있을 것으로 판단된다.

• Journal of the Korean Data and Information Science Society
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• v.20 no.3
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• pp.541-550
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• 2009

This research attempted to find out any implications for strategies to design and develop the connections between the activities of the brain function and the fields of English learning (dictation, word level, speaking, word memory, listening). Thus, in developing the brain based learning model for the English education, attempts need to be made to help learners to keep the whole brain toward learning. On this point, this study indicated the significant results for the exclusive brain location and the brainwaves on the each English learning field by the quantitative EEG analysis. The results of this study presented the guidelines for the balanced development of the left brain and the right brain to train the specific site of the brain connected to the English learning fields. In addition, whole brain training model is developed by the quantitative EEG data not by the theoretical learning methods focused on the right brain training.

• Journal of the Korean Data and Information Science Society
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• v.20 no.5
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• pp.819-827
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• 2009

This study was conducted to investigate the relationship between the sociodemographic factors and the Korean consumers palatability evaluation grades with Hanwoo sensory evaluation data. The dichotomy logistic regression model and the multinomial logistic regression model are fitted with the independent variables such as the consumer living location, age, gender, occupation, monthly income, and beef cut and the the palatability grade as the dependent variable. Stepwise variable selection procedure is incorporated to find the final model and odds ratios are calculated to find the associations between categories.

• Journal of the Korean Data and Information Science Society
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• v.27 no.4
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• pp.969-977
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• 2016

Climate change affects the growth of crops which were planted especially in fields, and it becomes more important to use climate data to predict the yields of the major vagetables. The variation of the crop products caused by climate change is one of the significant factors for the discrepancy of the demand and supply, and leads to the price instability. In this paper, using a panel regression model, we predicted the garlic yields with the weather conditions of different regions. More specifically we used the panel data of the several climate variables for 15 main garlic production areas from 2006 to 2015. Seven variables (average temperature, average maximum temperature, average minimum temperature, average surface temperature, cumulative precipitation, average relative humidity, cumulative duration time of sunshine) for each month were considered, and most significant 7 variables were selected from the total 84 variables by the stepwise regression. The random effects model was chosen by the Hausman test. The average maximum temperature (January), the cumulative precipitation (March, October), the cumulative duration time of sunshine (April, October) were chosen among the variables as the significant climate variables of the model

• Journal of the Korea Institute of Military Science and Technology
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• v.12 no.1
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• pp.70-79
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• 2009

Currently, the investment on Research and Development(R&D) for defense core technology is continuously increasing to maintain advanced country's R&D level. In accordance with this trend, the national defense R&D investment management system is being more strengthening, and importance of performance evaluation is being emphasized more and more. However, the existing indicators of performance evaluation for defense core technology R&D is limited in efficient management because of the qualitative evaluation items and subjective allocation of points. In this paper, we developed a novel indicator for defense core technology R&D performance evaluation through domestic and foreign related literature and inquiry, brainstorming, and analysis techniques by Stepwise Multiple linear Regression(SMR) and Analytic Hierarchy Process(AHP). And we verified effectiveness of proposed indicators of performance evaluation by comparing with the existing evaluation indicators. Our proposed indicators for performance evaluation will create superiority performance on defense R&D fields.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.11
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• pp.5364-5371
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• 2012

This study was performed to investigate the relations between internet addiction, depression, and anxiety in smoking adolescents. In order to get the data by self-questionnaire, 202 subjects were selected from Aug. 15 to Sep. 20, 2012. The data was analyzed by mean, standard deviation, t-test, ANOVA, Pearson's correlation coefficient, and multiple regression using SPSS/WIN 18.0 program. Internet addiction score was $30.9{\pm}6.55$, depression score was $9.0{\pm}4.76$, and anxiety score was $12.3{\pm}5.31$. There were significant positive correlations between internet addiction and depression, between internet addiction and anxiety, between depression and anxiety. Multiple regression analysis revealed that the predictors of internet addiction were average number of days drinking alcohol per month, average daily cigarette consumption and starting daily smoking age. The findings of study will be used for basic information to prevent and control internet addiction of smoking adolescents.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.4 no.1
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• pp.89-111
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• 2009

Since the financial crisis in 1997, the Korean economy has a steady increase of people who tend to establish their own business by 2008. Business foundations can be divided into independent businesses and franchise businesses. This study focuses on what type of business owners among franchise enterprisers can achieve success. This is intended to reduce trial and error by drawing upon success factors in the stages of establishment, operation, and achievement based on a total sample of 350 individual business sites. The result shows that the success factors in the stage of establishment include (1) Preparation such as foundation education (2) Marketing capability (3) Appropriateness of Business Item (4) Other founder's entry barrier, conglomerate's entry regulation and (5) Head Office Support including service education, market survey education, marketing support. On the other hand, the success factors in the stage of operation include the supervisor capability, Marketing capability, Head Office Support, Customer Management Capability and Employee Satisfaction. Additionally after choosing the major factors according to each stage, multiple regression analysis was processed and interpreted. Finally, we believe that the franchise or independent business foundations can make a profit as well as increase continuous sales and customer satisfaction only with thorough and careful preparation in all stages of foundation and operation. This study is expected to contribute to those who prepare new business in franchise domain to minimize failures with deep consideration of the success factors in the franchise.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.213-213
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• 2020

최근 나타나는 지구온난화와 이상기후로 인해 가뭄과 홍수피해 같은 자연재해 발생 빈도가 높아졌고, 하천에서는 오염된 수질과 수생태계 복원 및 수변공간 조성, 수자원 관리 등의 목적으로 수질환경 개선사업이 진행되고 있다. 수질환경 측면에서 하천에서 발생하는 가장 큰 문제점으로는 녹조 즉, 남조류의 발생을 예로 들 수 있다. 본 연구에서는 최근 보 개방을 통하여 수질개선 효과가 나타나고 있는 금강을 대상으로 세종보, 공주보, 백제보 구간에 대하여 주요 수질인자에 대한 상관관계 분석을 수행하였다. 특히 남조류 세포수와 주요 하천 수질인자를 Pearson's correlation analysis를 이용하여 상관관계를 분석하였고, 보 위치별 남조류 세포수를 종속변수로 하고, 상관도가 높은 수질인자를 독립변수로 하는 다중회귀식을 도출하여 금강 내 주요 하천 수질인자의 농도에 따른 남조류 세포수 관계를 규명하고자 하였다. 분석기간은 2012년 1월부터 2019년 12월까지 보 건설 이후 시점으로 선정하였고, 월 평균 남조류 개체수가 조류경보제 발령기준 관심단계이상에 해당하는 금강수계의 3개 보에 대하여 남조류 세포수와 수질에 영향을 끼치는 인자인 강수량, (수온)W·T, (수소이온농도)pH, (용존산소)DO, (생물화학적산소요구량)BOD, (화학적산소요구량)COD, (부유물질량)SS, (총질소)TN, (총인)TP, (클로로필-a)Chl-a, (전기전도도)EC, (질산성질소)NO₃-N, (암모니아성 질소)NH₃-N, (인산염 인)PO₄-P, (용존총질소)DTN, (용존총인)DTP, (총유기탄소)TOC 와의 상관관계를 분석하였다. 분석 결과 측정 지점별 남조류 세포수와 상관관계가 있는 인자는 서로 상이했지만 (수온)W·T과 pH의 경우 모든 지점에서 남조류 세포수와 양의 상관관계가 나타났다. 세종보는 W·T(0.383, P<0.01), pH(0.391, P<0.05)의 양의 상관계수를 나타냈고, 공주보에서는 (수온)W·T(0.436, P<0.05), pH(0.412, P<0.05)의 양의 상관관계를 나타냈다. 백제보에서는 (수온)W·T(0.415, P<0.01), pH(0.221, P<0.01)의 양의 상관성을 나타냈다. 남조류 세포수와 수질인자 간의 상관관계 분석에 따라 통계적으로 유의한 인자 중 (수온)W·T과 pH에 영향을 받는 영양염류와 퇴적물에 대한 후속 연구가 필요할 것으로 사료되며, 연구를 통해 제시된 남조류 세포수 다중회귀식은 주요 수질인자 농도에 따라 발생 가능한 남조류세포수를 예측하여 금강의 수질 관리에 활용될 수 있을 것으로 기대된다.