• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.2
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• pp.383-388
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• 2024

This paper is a study to derive the predicted value of power generation based on the photovoltaic power generation data measured in Jeollanam-do, South Korea. Multivariate variables such as direct current, alternating current, and environmental data were measured in the inverter to measure the amount of power generation, and pre-processing was performed to ensure the stability and reliability of the measured values. Correlation analysis used only data with high correlation with power generation in time series data for prediction using partial autocorrelation function (PACF). Deep learning models were used to measure the amount of power generation to predict the amount of photovoltaic power generation, and the results of correlation analysis of each multivariate variable were used to increase the prediction accuracy. Learning using refined data was more stable than when existing data were used as it was, and the solar power generation prediction algorithm was improved by using only highly correlated variables among multivariate variables by reflecting the correlation analysis results.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.36 no.11
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• pp.1413-1420
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• 2012

To predict the dynamics behavior, running stability, etc. of a railway vehicle and to understand its physical characteristics, analytical methods are used for the testing and manufacturing of a scale model along with numerical simulations in developed countries (England, France, Japan, etc.). The test of the dynamics characteristics of full-scale models is problematic in that it is expensive and time-consuming because an entire large-scale test plant needs to be constructed, difficulties are involved in the test configuration, etc. To overcome these problems, an analytical study involving dynamics tests and computer simulations using a scaled bogie model that applies the laws of similarity was carried out. In this study, we performed stability analysis on a 1/5 small scaled bogie for parameters such as the running speed and carbody weight by using an analysis model. Furthermore, we verified the reliability by using a small-scaled derailment simulator and examined the dynamic characteristic of the 1/5 small scaled bogie.

• The Korean Journal of Applied Statistics
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• v.34 no.2
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• pp.177-190
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• 2021

Random forests is a popular method that improves the instability and accuracy of decision trees by ensembles. In contrast to increasing the accuracy, the ease of interpretation is sacrificed; hence, to compensate for this, variable importance is provided. The variable importance indicates which variable plays a role more importantly in constructing the random forests. However, when a predictor is correlated with other predictors, the variable importance of the existing importance algorithm may be distorted. The downward bias of correlated predictors may reduce the importance of truly important predictors. We propose a new algorithm remedying the downward bias of correlated predictors. The performance of the proposed algorithm is demonstrated by the simulated data and illustrated by the real data.

• The Korean Journal of Financial Management
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• v.13 no.1
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• pp.137-158
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• 1996

주식투자에 따른 체계적 위험인 베타는 실증분석에 따르면 장기적으로는 안정적이지만 단기적으로는 불안정하다. 본 연구에서는 3개월과 1년의 기간별로 추정된 규모별 및 업종별 포트폴리오 베타의 불안정성을 검토하고, 베타의 불안정성을 설명할 수 있는 거시경제변수를 찾아보고자 하였다. 베타추정시 시장수익률의 선택이 실증분석결과에 미치는 영향을 검토하고자 시장수익률로서 종합주가지수 수익률과 산술평균 수익률을 이용하여 베타를 추정하고, 이를 이요한 회귀분석 결과에 따르면 시장수익률로서 종합주가지수 수익률보다는 산술평균 수익률을 사용한 경우에 분석결과에 논리적 일관성이 있는 것으로 판단된다. 규모별 포트폴리오 베타와 거시경제변수간의 관계를 분석한 결과 금리차이와 수출비율은 소기업 포트폴리오 베타와는 음의 관계를, 대기업 포트폴리오 베타와는 양의 관계를 보이고 있다. 그리고 회사채금리는 소기업 포트폴리오 베타와 양의 관계를, 대기업 포트폴리오 베타와는 음의 관계를 보이고 있다. 거시경제변수와 업종별 포트폴리오 베타와의 회귀분석에서는 대부분의 거시경제변수가 일부 포트폴리오 베타와는 양의 관계를, 다른 포트폴리오 베타와는 음의 관계를 보이고 있다.

• 한국디지털정책학회:학술대회논문집
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• 2004.05a
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• pp.705-717
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• 2004

본 연구는 '01.3.19-'03.11.21 까지의 국채 현 선물 장기간 데이터를 이용하여 두 변수간의 관계를 분석해 본 결과 두 변수가 상당히 높은 양(+)의 관계를 갖는 것으로 나타남. 변수간에 장기안정관계 즉 공 적분관계가 존재하는 것으로 나타나 오차수정모형 (ECM)을 통해서 분석을 시도했다. 두 기간 사이에 국채 현 선물 가격간의 관계 변화가 있었는지 알아보기 위해 실증분석 기간을 반분한 후 분석을 실시한 결과국채 선물의 현물에 대한영향력이 최근들어 더 커지고 있는 것으로 나타남. 두 변수간의 원인과 결과관계를 분석하기 위해 실시한 인과관계분석에서는 두 변수간에 통계적으로 유의한 인과관계를 발견할 수 없었다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.9
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• pp.5763-5768
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• 2015

A relief valve is a mechanical element to keep safety by controlling high pressure. Usually, the high pressure is relieved by using the spring force and letting the fluid to flow from another way out of system. When its normal pressure is reached, the relief valve can return to initial state. The relief valve should be designed for smooth operation and should satisfy the structural safety requirement under operating condition. The commercial software ANSYS/WORKBENCH is utilized for flow and structural analysis. Very high pressure may cause structural problem due to severe stress. The study suggests the design satisfying the structural design requirement

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.62-71
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• 2016

Food insecurity is associated with poor health outcomes. In particular, previous studies marked the adverse outcomes on mental health. This study examined the association of food insecurity and mental health in Korean adults using the data from the 2013 Korean National Health and Nutrition Examination Survey (KNHANES). The study population was 5,685 adults in Korea. Food insecurity was examined using 18-items. A diagnosis of depression was considered to be depression. Depressive symptoms were defined as more than 2 weeks of depression feelings. Multivariate logistic regression models examined the associations between food insecurity and depression and depressive symptom. The overall prevalence of depression was 3.8% in the participants. Food insecurity was associated significantly with depression and depressive symptom in the unadjusted and age and sex adjusted model. Food insecurity was associated with depression, depressive symptoms in the multivariate logistic regression model (OR:3.49, OR:3.70). Marginal food insecurity was not associated with depression in the multivariate logistic regression model. The results showed that food insecurity is associated with depression and depressive symptoms in adults. Multi-disciplinary interventions are needed including nutrition, health, health policy, and a healthy environment for the food insecurity group to achieve a better health outcome, especially mental health.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.8
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• pp.1716-1721
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• 2005

Conventionally, 2WS is used for vehicle sleeting, which can only steering front wheel. In case of trying to high speed slalom or emergency through this kind of vehicle equipped 2WS, it may occur much of side slip angle. On the other hand, 4WS makes decreasing of side slip angle, outstandingly, so it is possible to support vehicle movement stable. And conventional ABS and TCS can only possible control the longitudinal movement of braking equipment and drive which can only availab to control of longitudinal direction. There after new braking system ESP was developed, which controls both of longitudinal and lateral, with adding of the function of controlling Active Yaw Moment. On this paper, we show about not only designing of improed braking and steering system through establishing of the integrated control system design of 4WS and ESP but also designing of the system contribute to precautious for advanced vehicle stability problem.

• Korea Trade Review
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• v.43 no.1
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• pp.177-197
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• 2018

This paper aims to analyze the effects of external uncertainty on the entry modes decision of multinational firms. On the basic assumption that the entry modes of the firms are dependent on ex-ante or ex-post perceived risk, we empirically analyzed the impacts of perceived risk factors on the investment patterns of firms. We found that the larger the population, the higher the level of GDP per capita, and the larger the trade volume as a ratio of GDP resulted in increased M&A FDI and greenfield FDI. The economic growth rate variables were found to be significantly positive effect on only greenfield entry mode. Regarding the main variables, lower levels of corruption and increased stability regarding political issues resulted in the host country receiving increased M&A investment. However, we found only a positive statistical significance of the political stability variable on the explaining greenfield FDI. Results show that M&A entry mode is affected by both corruption and political instability level. However, the greenfield FDI featuring sunk costs, seems more responsive to political instability.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.22 no.2
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• pp.88-94
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• 2010

A reliability analysis method is proposed in this paper to quantitatively evaluate the risk for internal stability of a quay wall constructed on the deep cement mixed ground, differentiating from the companion paper that mainly describes the external stability. Failure modes for toe pressure, shear strength of improved ground and extrusion of unimproved soft soil are investigated and compared in the risk estimation of internal stability using MVFOSM, FORM, and MCS. From the reliability analysis results for internal stability of a quay wall, the variance and distribution type of the compressive strength of Deep Mixed Soil-Cement appear to be very affective to the failure probability. On the other hand, other random variables seem to be relatively very insensitive to the probability of failure. It is therefore very important to rationally and accurately determine the probabilistic properties of the in-site compressive strength of Deep Mixed Soil-Cement.