• Journal of Korean Society on Water Environment
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• v.35 no.4
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• pp.316-331
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• 2019

Carbon dioxide($CO_2$) emission from rivers to the atmosphere is a key component in the global carbon cycle. Most of the rivers are supersaturated with $CO_2$. At a global scale, the amount of $CO_2$ emission from rivers is reported to be five-fold greater than that from lakes and reservoirs, but relevant data are rare in Korea. The objectives of this study is to estimate the $CO_2$ net atmospheric flux(NAF) from the upstream of Gangjeong-Goryeong Weir(GGW), Dalseong Weir(DSW), Hapcheon-Changnyeong Weir(HCW), and Changnyeong-Haman Weir(CHW) located in Nakdong River South Korea) using field and laboratory experiments and to apply data mining techniques to develop parsimonious prediction models that can be used to estimate $CO_2$ NAF with physical and water quality variables that can be collected easily. As a result, the study sites were all heterotrophic systems that often released $CO_2$ to the atmosphere, except when the algal photosynthesis was active.The median $CO_2$ NAF was minimum $391.5mg-CO_2/m^2$ day at GGW and maximum $1472.7mg-CO_2/m^2$ day at DSW. The $CO_2$ NAF showed a negative correlation with pH and Chl-a since the overgrowth of the algae consumed $CO_2$ in the water and increased the pH. As the parsimonious multiple regression model and random forest model developed, this study showed an excellent performance with the $Adj.R^2$ value higher than 0.77 in all weirs. Thus, these methods can be used to estimate $CO_2$ NAF in the river even if there is no $pCO_2$ measurement data.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.371-381
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• 2019

This study explored how retirement satisfaction or dissatisfaction influences on retirees' life satisfaction, comparing to workers and the gender differences were examined. The study sample was 2,609 persons (1,886 workers, 723 retirees) aged 45 or older who participated in the 1-2 waves of the Korean Longitudinal Study of Ageing (KLoSA), and the retirees were classified into continuously dissatisfied retirees and satisfied retirees during wave 1 and 2. Using SPSS 21.0, the multiple regression models were examined, and in order to clarify the gender difference, the multi-group analysis and the wald-test were conducted to test the difference of the regression coefficients according to gender using Mplus 7.3. According to the results, the life satisfaction of dissatisfied retirees was lower than that of the employed, but when satisfied with retirement, the life satisfaction was higher than that of the employed. In addition, the dissatisfied retirees in both gender were less satisfied with life than the employed, and this effect was greater in female group. However, the life satisfaction of female satisfied with retirement was higher than that of the employed, whereas the evidence of the male influence was not found to be significant. Based on the results of this study, discussion about heterogeneity of retirees and gender differences in life span were presented.

• Journal of Digital Convergence
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• v.17 no.5
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• pp.257-266
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• 2019

This study investigates convergent factors related with communication competency of some health majors students in studying for TOEIC. The questionnaire was used using an unregistered self-administered questionnaire for 280 health majors students in TOEIC class from college located in J area from November 1, 2018 to November 30, 2018. The hierarchical multiple regression analysis shows the following results. The communication competency of respondents turned out to be significantly higher in following groups: a group in which ego-resilience is higher, a group in which inkling is higher, and a group in which self-leadership is higher. The results show explanatory power of 57.0%. The results of the study indicate that the efforts, to increase ego-resilience, inkling and self-leadership are required to improve the communication competency among health majors students in studying for TOEIC. These results can be used to develop and operate educational resources and support programs that improve communication competency of health majors students in studying for TOEIC. Future research requires presentation and analysis of structural models considering factors affecting communication competency and correlation with TOEIC scores of health majors students in studying for TOEIC.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.219-227
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• 2019

This study examined the convergent relationship of stress factors related to the depression level(CES-D) of a college student. The questionnaire was used using an unregistered self-administered questionnaire for 304 students from a college located in J area from Nov. 12, 2018 to Dec. 14, 2018. The hierarchical multiple regression analysis results are as follows: The depression level of respondents turned out to be significantly higher in following groups: a group in which job seeking stress(CMI) is higher, a group in which academic burnout(MBI-SS) is higher, a group in which anxiety(BAI) are higher. The results show explanatory power of 60.7%. The results of the study indicate that the efforts, to decrease job seeking stress, to decrease academic burnout and, to decrease anxiety, are required to decrease the depression level among college students. These results can be utilized in various interventional efforts for academic counseling and guidance, job counseling, and psychological and emotional stability that lowers the depression level in college students. Following studies requires the presentation and analysis of structural models for the structural model that effects the depression levels of college students.

• Journal of Internet Computing and Services
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• v.22 no.1
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• pp.23-30
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• 2021

This paper proposes a noise-tolerant image classification system using multiple autoencoders. The development of deep learning technology has dramatically improved the performance of image classifiers. However, if the images are contaminated by noise, the performance degrades rapidly. Noise added to the image is inevitably generated in the process of obtaining and transmitting the image. Therefore, in order to use the classifier in a real environment, we have to deal with the noise. On the other hand, the autoencoder is an artificial neural network model that is trained to have similar input and output values. If the input data is similar to the training data, the error between the input data and output data of the autoencoder will be small. However, if the input data is not similar to the training data, the error will be large. The proposed system uses the relationship between the input data and the output data of the autoencoder, and it has two phases to classify the images. In the first phase, the classes with the highest likelihood of classification are selected and subject to the procedure again in the second phase. For the performance analysis of the proposed system, classification accuracy was tested on a Gaussian noise-contaminated MNIST dataset. As a result of the experiment, it was confirmed that the proposed system in the noisy environment has higher accuracy than the CNN-based classification technique.

• The Korean Journal of Applied Statistics
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• v.34 no.5
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• pp.685-696
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• 2021

The Korean Economically Active Population Survey (KEAPS) is a national survey that produces employment-related statistics. The main purpose of the survey is to find out the economic activity status (employed/ unemployed/ non-employed) of the people. KEAPS has a unique characteristics caused by the survey method. In this study, through understanding of structural non-response and utilization of past data, we would like to present an improved imputation model. The performance of the proposed model is compared with the existing model through simulation. The performance of the imputation models is evaluated based on the degree of mathing/nonmatching rates. For this, we employ the KEAPS data in November 2019. For the randomly selected ones among the total 59,996 respondents, the six explanatory variables, which are critical in determining the economic activity states, are treated as non-response. The proposed model includes industry variable and job status variable in addition to the explanatory variables used in the precedent research. This is based on the linkage and utilization of past data. The simulation results confirm that the proposed model with additional variables outperforms the existing model in the precedent research. In addition, we consider various scenarios for the number of non-responders by the economic activity status.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.444-456
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• 2021

Economic abundance and the development of medical technology led to an aging society with an average life expectancy of 100 years, but retiring from the labor market at the age of 65 has become more difficult. This study aims to identify the influence of entrepreneurship, social support, and entrepreneurship mentoring as an effective support method to increase the entrepreneurial intention in order to enhance the entrepreneurial intention as an adult's second career development. In this study, data were collected using questionnaires from 340 adults, but only 319 were selected because 21 were judged to be inappropriate. For statistical analysis, SPSS 18.0 was used, and reliability test, factor analysis, and multiple regression analysis were used for hypothesis testing. The research results are as follows. First, as a result of examining the effects of adult entrepreneurship factors on entrepreneurship, it was found that among entrepreneurship, innovation and initiative had a significant positive (+) effect on entrepreneurship. Second, as a result of examining the effect of social support on entrepreneurial intention, it was found that family support had a significant negative (-) effect on entrepreneurial intention. Third, as a result of examining the effect of entrepreneurship mentoring on entrepreneurial intentions, it was found that role models and mentors had a positive (+) effect on entrepreneurial intentions. Fourth, as for the mediating effect of entrepreneurial efficacy, there were significant mediating effects of innovativeness → entrepreneurial efficacy → entrepreneurial intention, role model → entrepreneurial efficacy → entrepreneurial intention, mentor → entrepreneurial efficacy → entrepreneurial intention.

• Land and Housing Review
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• v.13 no.4
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• pp.73-89
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• 2022

With the spread of COVID-19, the role of parks has been emphasized. Under the quarantine guidelines, including social distancing, people are visiting parks as a safe place. In line with these changes, parks need to be studied as pandemic adaptation measures according to their physical and location characteristics. This study aims to explore the potential of linear parks with accessibility and pass way functions based on the characteristics of surrounding land uses. The case study area was selected from Yeonnam-dong to Yeomni-dong of the Gyeongui Line Forest Park, and the area was divided into 4 sections based on the administrative boundary and surrounding land uses. Multiple regression models were adopted in each section using the total number of de facto population as a dependent variable and factors affecting external activities including COVID-19 as independent variables. The results show that first, the more diverse the interaction between commercial facilities and linear parks, the greater the impact of the pandemic. Second, where various commercial facilities are concentrated people respond more sensitively to short-term weather changes than seasonal ones. This study indicates that there are differences in the use of linear parks according to the surrounding land uses. In addition, it suggests that the linear park has potential as a means to overcome the Pandemic crisis of the city and to increase equity in access to green areas.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.453-459
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• 2021

The system marginal price of electricity is the amount paid to all the generating units, which is an important decision-making factor for the construction and maintenance of an electrical power unit. In this paper, we suggest a long-term forecasting model for calculating the system marginal price based on prices of natural gas and oil. As most variables used in the analysis are nonstationary time series, the long run relationship among the variables should be examined by cointegration tests. The forecasting model is similar to an error correction model which consists of a long run cointegrating equation and another equation for short run dynamics. To mitigate the robustness issue arising from the relatively small data sample, this study employs various testing and estimating methods. Compared to previous studies, this paper considers multiple fuel prices in the forecasting model of system marginal price, and provides greater emphasis on the robustness of analysis. As none of the cointegrating relations associated with system marginal price, natural gas price and oil price are excluded, three error correction models are estimated. Considering the root mean squared error and mean absolute error, the model based on the cointegrating relation between system marginal price and natural gas price performs best in the out-of-sample forecast.

• Journal of Korean Academy of Oral Health
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• v.41 no.4
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• pp.267-273
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• 2017

Objectives: Unmet needs for dental treatment are one of the potential contributing factors to poor oral health because oral health problems worsen if left untreated. This study aimed to demonstrate the prevalence of and the causes for unmet dental needs, and to evaluate the association between unmet needs for dental treatment and oral health status. Methods: Data on 3,883 subjects aged ${\geq}18years$ from the Korean National Oral Health Survey 2006 were analyzed. Information regarding unmet needs for dental treatment was obtained using standardized questionnaires. Eight trained dentists examined decayed, missing, or filled teeth (DMFT). Multiple regression models were built to assess the association between unmet needs for dental treatment and the DMFT scores. Results: The prevalence of perceived unmet needs for dental treatment was 34.7% among the adult Korean population. Economic constraints were the main cause (38.6%) for unmet dental needs. The average DMFT scores were higher in the subjects with unmet needs for dental treatment than in those without. In individuals with unmet needs for dental treatment within the past 1 year, the number of decayed teeth after adjusting for confounders was likely to be greater by 0.58 and that of missing teeth by 0.27 compared to that in their counterparts with no unmet dental needs in the past 1 year. Conclusions: Perceived unmet needs for dental treatment were significantly associated with poor oral health status among the adult Korean population. Further studies are needed to clarify the direct and indirect effects of unmet needs for dental treatment on an individual's oral health status by investigating critical variables of the causal pathways among perceived dental needs, dental care utilization, and oral health status.