• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.692-700
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• 2020

The purpose of this study was to investigate the degree of optimism, academic resilience, and major satisfaction of nursing students, and identify influencing factors of major satisfaction. The study was a cross-sectional descriptive correlational design. A convenience sample of 286 nursing students was conducted from a university in Busan. Data were analyzed through descriptive statistics, t-test, one way ANOVA, Pearson's correlation coefficient, and hierachical multiple regression analysis using IBM SPSS version 23.0. The average score of optimism, academic resilience and major satisfaction in nursing students were 3.85±0.54, 3.87±0.52 and 3.75±0.63 respectively. The degree of major satisfaction was positively correlated with optimism and academic resilience. The significant predictors of major satisfaction were optimism(β=.385, p<.001) and academic resilience(β=.356, p<.001), explaining 49.2% of the independent variables. Accordingly, in order to increase the major satisfaction level of nursing college students, it is necessary to develop a program that can improve optimism and academic resilience, and apply it in the nursing curriculum.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.123-133
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• 2019

This research empirically investigated halo effect in evaluating culture and art performance program. We diagnosed halo effect by using correlation analysis, factor analysis, and regression model on results and scores of fifteen evaluation indicators within three categories for the 107 Local Representative Performance Art Festivals in 2014 and 2015. The results indicates strong possibility of halo effect in culture and art performance evaluation. The correlation coefficients between evaluation indicators is higher than 0.5 and factor structure does not match with evaluation categories in both years. Scores in categories and standard deviations also are also significantly correlated with each other. The results implies that more sophisticated standard, diversification of evaluator, education, and meta-anlysis are need to control halo effect.

• Journal of the Korean earth science society
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• v.28 no.2
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• pp.214-226
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• 2007

Because precipitation is influenced by various atmospheric variables, it is highly nonlinear. Although precipitation predicted by a dynamic model can be corrected by using a nonlinear Artificial Neural Network, this approach has limits such as choices of the initial weight, local minima and the number of neurons, etc. In the present paper, we correct simulated precipitation by using a multiple linear regression (MLR) method, which is simple and widely used. First of all, Ensemble hindcast is conducted by the PNU/CME Coupled General Circulation Model (CGCM) (Park and Ahn, 2004) for the period from April to August in 1979-2005. MLR is applied to precipitation simulated by PNU/CME CGCM for the months of June (lead 2), July (lead 3), August (lead 4) and seasonal mean JJA (from June to August) of the Northeast Asian region including the Korean Peninsula $(110^{\circ}-145^{\circ}E,\;25-55^{\circ}N)$. We build the MLR model using a linear relationship between observed precipitation and the hindcasted results from the PNU/CME CGCM. The predictor variables selected from CGCM are precipitation, 500 hPa vertical velocity, 200 hPa divergence, surface air temperature and others. After performing a leave-oneout cross validation, the results are compared with the PNU/CME CGCM's. The results including Heidke skill scores demonstrate that the MLR corrected results have better forecasts than the direct CGCM result for rainfall.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.5
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• pp.624-630
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• 2012

The peer review learning is a method which improves learning outcome of students through feedback between students and the observation and analysis of other students. One of the important problems in a peer review system is to find proper evaluators to each learner considering characteristics of students for improving learning outcomes. Some of peer review systems randomly assign peer review evaluators to learners, or chose evaluators based on limited strategies. However, these systems have a problem that they do not consider various characteristics of learners and evaluators who participate in peer reviews. In this paper, we propose a novel prediction approach of learning outcomes to apply peer review systems considering various characteristics of learners and evaluators. The proposed approach extracts representative attributes from the profiles of students and predicts learning outcomes using various regression models. In order to verify how much outliers affect on the prediction of learning outcomes, we also apply several outlier removal methods to the regression models and compare the predictive performance of learning outcomes. The experiment result says that the SVR model which does not removes outliers shows an error rate of 0.47% on average and has the best predictive performance.

• Journal of Korean Home Economics Education Association
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• v.23 no.4
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• pp.125-141
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• 2011

The purpose of this study is to investigate Home Economics(HE) teachers' perception of Home Economics curriculum perspective and their instructional culture, and to find out correlations between them. 210 questionnaires were used for analysis. The results are as follows. First, our research showed that the preferences of HE teachers with respect to curriculum perspectives were in the order of the interpretive, emancipatory, and technical perspectives. However, there was no consistency among findings in the preferences for the sub-elements of a curriculum. Second, our results indicated that HE teachers performed their role affirmatively in terms of instructional culture such as the 'cooperation between teachers', the 'class focused on student', and the 'learning materials preparation'. Third, there was a statistically significant difference in five elements such as the 'cooperation among teachers' between the HE teachers' curriculum perspectives and their instructional culture. Fourth, there was a statistically significant difference in the 4 factors of 'instructional culture' between the teacher group whose curriculum preference was clear and those group whose curriculum preferences was vague.

• Korean Journal of Childcare and Education
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• v.11 no.5
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• pp.153-171
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• 2015

This study was to examine the analysis level of implementation of the Nuri Curriculum of age 3 ~ 4 child-care teachers. It recognized general tendencies about the perception and satisfaction and the relation among level of implementation and perception, satisfaction of the Nuri Curriculum of age 3~4 Child-care teachers. And it also recognized the effect of level of implementation on perception and satisfaction. A survey was therefore administered to 264 child care teachers in Seoul and Gyoung-gi do. The collected data were by mean, standard deviation for recognize general tendency about perception and satisfaction, other data were by pearson relation, multiple regression analysis. Results were as follows: Firstly, general perception on Nuri Curriculum of age 3~4 Child-care teachers were a little above average, and there were positive relationships between perception and teachers' the level of implementation. Specially perception of practice and support had a significant positive correlation with theoretical basis and character. Secondly, general tendency of satisfaction were above average, and there were positive relationships between Satisfaction and teachers' the level of implementation. Specially satisfaction of curriculum had a significant positive correlation with assessment and practice and support had a significant positive correlation with teaching material. Thirdly, the practice and support perception exerted the largest influence on the teachers' the level of implementation, and satisfaction of curriculum exerted influence on the teachers' evaluation of the level of implementation.

• Journal of the Korean Society of Earth Science Education
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• v.13 no.1
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• pp.74-89
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• 2020

The purpose of this study was to develop a concept test tool for seasonal change with reliability and validity, and to objectively observe and analyze sub-concepts and misconceptions related to the concept of seasonal change to explain the relationship between variables. The development process of the conceptual change concept inspection tool consisted of the development of the inspection tool development plan, the development of the inspection tool draft, the modification of the preliminary inspection and inspection tools, the development of the final inspection tool, and the implementation of this inspection. The developed test tool can be used to provide students with appropriate learning and help by examining students' degree of seasonal change concept formation and analyzing the cause of the difficulty in concept formation. As a result of regression analysis of 198 students in 6th grade using the developed test tool, it was found that the understanding of pre-learning concept and correction of misconception had a statistically significant effect on the concept learned in the seasonal change unit, and misconception had greater effect. Correction of misconceptions had a significant effect on students above the average score among the two sections created and cut based on the average score, and on the students below the average score, the understanding of pre-learning concept had a significant effect.

• The Korean Journal of Financial Management
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• v.16 no.2
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• pp.27-51
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• 1999

본 연구는 사업구조조정을 위하여 기업이 자발적으로 자산을 매각할 때, 부채변제 목적으로 자산을 매각하는 경우를 제외한 재투자 목적으로 자산을 매각한 경우에 없어 자산매각에 따른 주가변동인 공시효과를 살펴보고 또한 이런 공시효과가 매각기업의 매각직전 경영성과인 Tobin's Q에 따라 달리 나타날 수 있으므로 이에 따른 공시효과의 차이를 비교해 본다. 그 다음에, 기업이 자산매각을 통하여 확보한 유동성을 새로 재투자할 기회를 갖는 자산매각의 경우에 있어, 이런 기회가 사업을 집중화할 목적인지 혹은 아닌지에 따라 장기간의 경영성과인 Tobin's Q와 어떤 영향관계를 갖는 지와, 또 매각자산의 상대적 매각규모가 장기간의 경영성과와 어떤 영향관계를 갖는 지를 분석한다. 분석결과, 자산매각에 대한 중시효과는 통계적으로 유의한 정의 비정상수익률을 실현하였으며, 자산매각직전의 경영성과를 나타내는 Tobin's Q값의 우열에 따리 분류한 4사분위별 집단의 비정상수익률은 Tobin's Q값이 낮거나 높은 기업일수록 정의 비정상수익률을 크게 실현하였다. 그리고 사업을 집중화할 목적으로 자산매각을 실시한 경우와 그렇지 않은 경우에 없어서 경영성과는 두 집단간에 유의적인 차이를 나타냈으나, 매각이후 각 연도기말의 Tobin's Q값들 사이에 대한 전년도와의 차이는 통계적인 유의성을 찾을 수가 없었다. 그렇지만 기업의 경영성과인 Tobin's Q는 집중화 집단이 비집중화 집단보다 크게 나타났었다. 또한 자산매각 이후에 없어, Tobin's Q와 집중화등기 및 상대적 매각규모는 유의적인 정의 관계를 나타냈다.었다.가 높은 한국, 영국, 독일에서는 환율이 주가에 비해 선행하여 변동한다고 볼 수 있다.하는 것이 필요할 것이다. 초과가치가 크게 나타나는 것으로 분석되어, 다각화 기업이 더 많은 부채부담능력을 가질 수 있고, 부채의 세금절감효과에 의해 기업가치를 증가시킬 수 있음을 알 수 있었다.있는 과정이므로 장기기대 주가의 미지성이 평균회귀 과정의 기각을 유도하게 된다. 우리나라의 투자자들은 무위험자산과 위험을 동시에 고려하여 투자활동을 전개하고 있음이 발견되었다. 선형의 효용함수를 갖는 위험중립적 태도의 투자자가 아니다. 위험기피형 효용함수 아래에서 투자활동을 수행하고 있는 합리적 투자자들이라 할 수 있다. 뿐 만 아니라 자신의 평생에 걸친 소비를 소비가 이루어지는 각 기마다 가급적 일정하게 하는 소비행동을 목표로 삼고 소비와 투자에 대한 의사결정을 내리고 있음이 실증분석을 통하여 밝혀졌다. 투자자들은 무위험 자산과 위험성 자산을 동시에 고려하여 포트폴리오를 구성하는 투자활동을 행동에 옮기고 있다.서, Loser포트폴리오를 매수보유하는 반전거래전략이 Winner포트폴리오를 매수보유하는 계속거래전략보다 적합한 전략임을 알 수 있었다. 다섯째, Loser포트폴리오와 Winner포트폴리오를 각각 투자대상종목으로써 매수보유한 반전거래전략과 계속거래 전략에 대한 유용성을 비교검증한 Loser포트폴리오와 Winner포트폴리오 각각의 1개월 평균초과수익률에 의하면, 반전거래전략의 Loser포트폴리오가 계속거래전략의 Winner포트폴리오보다 약 5배정도의 높은 1개월 평균초과수익률을 실현하였고, 반전거래전략의 유용성을

• The Journal of the Acoustical Society of Korea
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• v.31 no.3
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• pp.170-178
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• 2012

In the paper, phonetic decision tree of the triphone unit was built for the phoneme-based speech recognition of 640 stations which run by the Korail. The clustering rate was determined by Pearson and Regression analysis to decide threshold used in node splitting. Using the determined the clustering rate, thresholds are automatically decided by the threshold value according to the average clustering rate. In the recognition experiments for verifying the proposed method, the performance improved 1.4~2.3 % absolutely than that of the baseline system.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.2 s.314
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• pp.93-101
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• 2007

To jointly optimize the spatial registration and the exposure compensation, an iterative registration algorithm, the Lucas-Kanade algorithm, is combined with an exposure compensation algorithm, which is based on the histogram transformation function. Based on a simple regression model, a nonparametric estimator, the empirical conditional mean, and its polynomial fitting are used as histogram transformation functions for the exposure compensation. Since the proposed algorithm is composed of separable optimization phases, the proposed algorithm is more advantageous than the joint approaches of Mann and Candocia in the aspect of implementation flexibility. The proposed algorithm performs a better registration for real images than the case of registration that does not consider the exposure difference.