• KIEAE Journal
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• v.12 no.5
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• pp.35-42
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• 2012

The rental housing has been a main role to supply a living space to the household who can not be available for the home-owner. Specially, the public rental housing is targeted for the low-income household and supplied with low rental fee. Therefore, the rent owner should manage and maintain the housing condition decently with a systematically maintenance plan which includes a repair time and scope, a repair cost. Among them, the repair time is important to make a repair plan. The repair time would be explained with two types, which is divided into a breakdown maintenance and a preventive maintenance. Each of them has a advantage in a repair cost, maintenance of the living condition and provision of the repair scope and method. In this paper, it aimed at providing the repair time in 12 components of the public rental housing which is reflected from a preventive maintenance. This study shows that overall, a permanent rental housing has a longer repair time than any other rental housing in 12 housing components. A public rental housing is closer to the a permanent rental housing then a redevelopment rental housing in repair time. On the other hand, the repair time of the 12 housing components is different form the rental housing. This leads to further study in difference of the repair time according to a tenant type.

• Asia Marketing Journal
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• v.11 no.1
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• pp.29-38
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• 2009

Estimating the Bass diffusion model often creates a time-interval bias, which leads the OLS approach to overestimate sales at early stages and underestimate sales after the peak. Further, a specification error from omitted variables might raise serial correlations among residuals when marketing actions are not incorporated into the diffusion model. Autocorrelated disturbances may yield unbiased but inefficient estimation, and therefore invalid inference results. This phenomenon warrants a modified approach to estimating the Bass diffusion model. In this paper, the authors propose a modified Bass diffusion model handling autocorrelated disturbances. To validate the new approach, authors applied the method on two different data-sets: CT Scanners in the U.S, and FPD TV sales in Korea. The results showed improved model fit and the validity of the proposed model.

• The Korean Journal of Applied Statistics
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• v.24 no.3
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• pp.477-484
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• 2011

When an event of target variable is rare, a widespread strategy is to build a model on the sample that disproportionally over-represents the events, that is over-sampled. Using the data over-sampled from the original data set, the predicted values would be biased; however, it can be easily corrected to represent the population. In this study, we investigate into the relationship between the proportion of rare event on a data-mart and the model performance using real world data of a Korean credit card company. Also, we use the methods for adjusting of posterior probability for over-sampled data of the offset method and the weighted method. Finally, we compare the performance of the methods using real data sets.

• Journal of Oral Medicine and Pain
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• v.34 no.3
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• pp.277-294
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• 2009

The purpose of this study was to evaluate the soft tissue changes of class II adolescents and adults in respect to extraction or nonextraction. The study included 68 patients from Wonkwang Dental Hospital were categorized to adolescent extraction group, adolescent nonextraction group, adult extraction group, adult nonextraction group. Cephalometric tracing of each patient was done to compare pretreatment and posttreatment of each group, to compare the changes between groups. And among the variables that showed significancy, correlation analysis and simple linear regression were done. The results were as follows. 1. In both adolescents and adults after extraction treatment, nasolabial angle significantly increased and in both subjects after non extraction treatment, nasolabial angle significantly decreased. 2. In extraction subjects, there were positive correlation between the amount of treatment changes of vertical-U1 and E line-upper lip, the changes of vertical-L1 and E line-lower lip, the changes of vertical-L1 and vertical-Li. 3. In extraction subjects, simple regression equations of E line-upper lip, E line-lower lip, Li were calculated by regression analysis. According to the results above, it could be considered that the effect of the extraction or nonextraction treatment was greater than the effect of growth.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.393-403
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• 2018

This study was conducted to evaluate the effects of a Motivation Enhancement for Smoking Cessation Program on middle school students' knowledge regarding smoking, self-efficacy, and daily amount of smoking. The study used a nonequivalent control group pre-post-test design and included 47 students who smoke from two middle schools located in city U as subjects. Subjects were separated into two groups, an experimental group with 23 students and a control group with 24 students. Data were collected from February 19, 2018 to May 11, 2018 and analyzed using the IBM SRSS/win 24.0 program to conduct a t-test, ${\chi}^2$-test, Fisher's exact test, and a paired t-test. After subjects went through the Motivation Enhancement for Smoking Cessation Program, their knowledge regarding smoking (t= 3.38, p=0.002), self-efficacy (t= -3.37, p=0.002), and their daily amount of smoking (t=3.38, p=0.002) showed significant changes. The results indicate that the Motivation Enhancement for Smoking Cessation Program is effective at increasing subjects' knowledge regarding smoking and self- efficacy while decreasing their daily amount of smoking. Therefore, to induce cessation of adolescent smoking, Motivation Enhancement for Smoking Cessation Programs tailored to each student should be held.

• 한국벤처창업학회:학술대회논문집
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• 2019.04a
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• pp.161-165
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• 2019

4차 산업혁명으로 기존 일자리가 사라지고 있으며, 보다 창의적인 진로전략이 요구되고 있다. 기존의 진로전략이 구직(求職), 즉 '직업을 찾는다.'는 개념이었다면, 4차 산업혁명 시대의 중요한 진로전략인 창직은 구직의 틀에서 벗어나 개인이 직업을 적극적으로 발굴하고 일자리를 창출하는데 초점을 두고 있다. 즉, 개인이 직업을 '발굴하고', '선택한다.'는 점이 중요하며, 구직이 '남이 나를 고용한다.'는데 의미가 있다면, 창직은 '내가 나를 고용한다.'는 점에서 구직자의 주체적이고 적극적인 의지를 더욱 필요로 하고 있다. 창직교육을 통해 청소년이 자신의 진로를 직접 발굴하고 선택할 수 있는 진로결정 자기효능감의 향상이 자기고용을 이루기 위한 주체적이고 적극적인 의지를 반영하는 창업의지에 미치는 영향을 분석하기 위해 본 연구를 진행하였다. 본 연구의 결과는 다음과 같다. 창직교육 프로그램을 처치한 실험집단은 총 293명으로 검증 시 진로결정 자기효능감, 대인관계기술, 자기주도 학습력, 기업가정신, 기회발견, 기회활용, 사회적 문제해결력, 창의성역량, 창업의지 전 항목에서 통계적으로 유의한 수준에서 평균값의 상승을 보였다. 창직교육 프로그램을 처치하지 않은 통제집단은 총 85명으로 사전/사후의 평균값이 미미한 수준의 차이를 보였다. 실험집단은 통제집단에 비해 자기주도 학습력과 창의성역량이 매우 두드러지게 향상되었고, 진로결정 자기효능감과 창업의지가 두드러지게 향상되었다. 반면, 통제집단은 실험집단과 비교하여 자기주도 학습력과 창의성역량이 미약하게 향상되었고, 진로결정 자기효능감도 미약하게 향상되었으나 오히려 창업의지는 감소하였다. 본 연구로 창직교육을 통한 자기주도 학습력과 창의성역량의 향상이 진로결정 자기효능감과 창업의지에 매개변수가 되어, 진로결정 자기효능감과 창업의지를 향상시켰음을 알 수 있다.

• Journal of Life Science
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• v.9 no.2
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• pp.201-206
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• 1999

Nitric oxide(NO) is a potent and selective pulmonary artery vasodilator. Erythropoietin(EPO) is produced in the kidney in response to reduced oxygen availability. In this study, blood samples were collected for determination of NO and EPO concentrations in 18 normal newborns and 16 newborns with respiratory distress syndrome(RDS). Serum was measured by Ding's method for NO concentration and by enzyme-linked immunosorbant assay for EPO concentration. Nitric ion concentration in serum was 14.9$\pm$3.2 $\mu$M in normal control group and 12.8$\pm$3.3 $\mu$M in RDS group. EPO concentration in serum was 16.2$\pm$3.4 mU/ml in normal control group and 21.2$\pm$5.4 mU/ml in RDS group. These results show the decrease of NO and increase of EPO in RDS newborn patients in comparison with normal newborns. Such imbalances may contribute to the development of several clinical symptoms.

• The KIPS Transactions:PartB
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• v.19B no.1
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• pp.63-76
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• 2012

We propose a Korean compound noun semantic tagging system using statistical compound noun decomposition and semantic relation information extracted from a lexical semantic network(U-WIN) and dictionary definitions. The system consists of three phases including compound noun decomposition, semantic constraint, and semantic tagging. In compound noun decomposition, best candidates are selected using noun location frequencies extracted from a Sejong corpus, and re-decomposes noun for semantic constraint and restores foreign nouns. The semantic constraints phase finds possible semantic combinations by using origin information in dictionary and Naive Bayes Classifier, in order to decrease the computation time and increase the accuracy of semantic tagging. The semantic tagging phase calculates the semantic similarity between decomposed nouns and decides the semantic tags. We have constructed 40,717 experimental compound nouns data set from Standard Korean Language Dictionary, which consists of more than 3 characters and is semantically tagged. From the experiments, the accuracy of compound noun decomposition is 99.26%, and the accuracy of semantic tagging is 95.38% respectively.

• The Korean Journal of Applied Statistics
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• v.22 no.2
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• pp.261-270
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• 2009

Current financial crisis triggered by shaky U.S. banking system adds to the emphasis on the importance of the volatility in controlling and understanding financial time series data. The ARCH and GARCH models have been useful in analyzing economic time series volatilities. In particular, multivariate GARCH(MGARCH, for short) provides both volatilities and conditional correlations between several time series and these are in turn applied to computations of hedge-ratio and VaR. In this short article, we try to assess various MGARCH models with respect to the back-testing performances in VaR study. To this end, 14 korean stock prices are analyzed and it is found that MGARCH outperforms rolling window, and BEKK and CCC are relatively conservative in back-testing performance.

• International Journal of Highway Engineering
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• v.11 no.2
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• pp.17-25
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• 2009

The goal of this study is to develop Logistic regression model by accident location(entry section, exit section, inside intersection and pedestrian crossing section). Based on the accident data of Chungbuk Provincial Police Agency(2004$\sim$2005) and the field survey data, the geometric elements, environmental factor and others related to traffic accidents were analyzed. Developed models are all analyzed to be statistically significant(chi-square p=0.000, Nagelkerke $R^2$=0.363$\sim$0.819). The models show that the common factors of accidents are the traffic volume(ADT), distant of crossing and exclusive left turn lane, and the specific factors are the minor traffic volume(inside intersection model) and U-turn of main road(pedestrian crossing model). Hosmer & Loineshow tests are evaluated to be statistically significant(p$\geqq$0.05) except the entry section model. The correct classification rates are also analyzed to be very predictable(more than 73.9% to all models).