• Journal of Korean Tunnelling and Underground Space Association
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• v.24 no.6
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• pp.583-598
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• 2022

As human-based tunnel inspections are affected by the subjective judgment of the inspector, making continuous history management difficult. There is a lot of deep learning-based automatic crack detection research recently. However, the large public crack datasets used in most studies differ significantly from those in tunnels. Also, additional work is required to build sophisticated crack labels in current tunnel evaluation. Therefore, we present a method to improve crack detection performance by inputting existing datasets into a deep learning model. We evaluate and compare the performance of deep learning models trained by combining existing tunnel datasets, high-quality tunnel datasets, and public crack datasets. As a result, DeepLabv3+ with Cross-Entropy loss function performed best when trained on both public datasets, patchwise classification, and oversampled tunnel datasets. In the future, we expect to contribute to establishing a plan to efficiently utilize the tunnel image acquisition system's data for deep learning model learning.

• Journal of the Korean Applied Science and Technology
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• v.38 no.4
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• pp.1029-1044
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• 2021

This research was conducted to investigate the prevalence of depression and convergent factors related to depression in male and female wage workers. Using data from the 2014 and 2016 Korea National Health and Nutrition Examination Survey, 3,763 adults (1,888 males, 1,875 females) between the ages of 19 and under 65 were analyzed. Depression was measured by the Patient Health Questionnaire-9 (PHQ-9), and the depression (PHQ-9≥10) of all workers was 4.1% (3.2% for men, 5.0% for women). Multiple logistic regression analysis was performed to evaluate the depressive factors of male and female wage workers. In male workers, work-related characteristics such as employment type and working hours per week were found to be significantly related to depression even after adjusting for socio-demographic characteristics, health-related characteristics, and life style characteristics. However, in female workers, work-related characteristics did not expose a significant relationship, showing a difference from male workers. Therefore it is necessary to develop and implement workplace counselling or mental health promotion programs that take into account the gender characteristics of depression risk factors. Also, as health-related characteristics (diagnosis of depression, suicide plan, perceived stress level, unmet medical services, self-rated health status) were found to be related to depression for both male and female workers, continuous management of these factors is required.

• Journal of Convergence for Information Technology
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• v.11 no.8
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• pp.160-167
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• 2021

This study was conducted to empirically analyze the prevalence and risk of chronic diseases in the family history of chronic diseases using data from the Korea National Health and Nutrition Examination Survey 2019. Based on 5,691 people, after controlling for socio-demographic variables that were related to family history of chronic diseases, logistic regression analysis was performed to verify the odds ratio, which was the risk of family history of chronic diseases for the prevalence of chronic diseases. The main results were founded that Odds ratio, which was the risk of chronic diseases in groups with a family history compared to those without a family history, was statistically significant at hypertension(2.623), dyslipidemia(1.868), diabetes(1.964), and arthritis(1.435) when gender, age, income status, education level and residence were controlled. These results suggest that it is not only necessary to develop a standardization tool for family history tests, but also a health and disease management system for members with a family history in terms of preventive medicine in health care. This study is significant in that it proposed a practical plan in terms of health care by controlling variables that affect the prevalence of chronic diseases and empirically identifying the risk of family history of chronic diseases.

• Journal of Digital Convergence
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• v.19 no.8
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• pp.361-370
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• 2021

The purpose of this study was to examine the mediating effect of self-esteem in the relationship between bicultural acceptance attitude and peer relationship of multicultural adolescents, and to examine the moderated mediating effect of multicultural acceptability. To this end, the data of 1,197 adolescents who participated in the 8th year survey(2018) of the 'Multicultural Adolescent Panel Study' surveyed by the National Youth Policy Institute were analyzed. As a result of the analysis, first, it was found that the bicultural acceptance attitude of multicultural adolescents had a significant positive effect on self-esteem. Second, it was found that while bicultural acceptance attitude of multicultural adolescents had a significant effect on peer relationship, self-esteem partially mediated these relationships. Third, it was found that multicultural acceptability moderating the indirect effect that affects peer relationship through self-esteem as a mediating bicultural acceptance attitude of multicultural adolescents. Based on the results of this study, a support plan was sought to positively form and maintain the peer relationship of multicultural adolescents, and the implications, limitations, and suggestions for subsequent studies of this study were presented.

• Journal of Korea Water Resources Association
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• v.52 no.7
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• pp.463-473
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• 2019

This study compared the characteristics of the optimization technique and the water supply and demand forecast using K-WEAP (Korea-Water Evaluation and Planning System) model and MODSIM (Modified SIMYLD) model considering wtaer supply priority. Currently, The national water resources plan applied same priority for municipal, industrial and agricultural demand. the K-WEAP model performs the ratio allocation to satisfy the maximum satisfaction rate, whereas the MODSIM model should be applied to the water supply priority of demands. As a result of applying the priority, water shortage decreased by an average of $1,035,000m^3$ than same prioritized results. It is due to the increase of the return flow rate as the distribution of Municipal and industrial water increases. Comparing the analysis results of K-WEAP and MODSIM applying the priorities, the relative error was within 5.3% and the coefficient of determination ($R^2$) was 0.9999. In addition, if both models provide reasonable water balance analysis results, K-WEAP is superior to GUI convenience for model construction and data processing. However, MODSIM is more effective in simulation time efficiency. It is expected that it will be able to carry out analysis according to various scenarios using the model.

• Journal of Environmental Impact Assessment
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• v.28 no.3
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• pp.215-230
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• 2019

The objective of this research is to evaluate the water quality characteristics using the statistical analysis of major tributaries in the Han River and to provide water quality improvement plan by selecting tributaries that should be preferentially managed by river grade classification method. The major 15 tributaries in Han River watershed were monitored for discharge and water quality during January-December 2017. As a result of the correlation analysis, the river discharge has been not correlation with other water quality constituents (p>0.05) but COD and TOC were significantly correlated (r=0.957, p<0.01). The main cause of water quality fluctuation was organic pollutants and nutrients in the principal component analysis (PCA) method. The BOD, COD, TOC, TN, and TP were found to be significantly different (p<0.05) by seasonal in result of one-way ANOVA analysis. Result of river grade classification by quantitative indicators the tributaries requiring improvement of water quality were Gulpocheon, Anyangcheon, Wangsukcheon, and Tancheon which affected by wastewater treatment plant.In this research, we determined tributaries that need to improve the water quality of Han River watershed and it can be used as an important data for efficient water quality management.

• Journal of Korea Water Resources Association
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• v.52 no.4
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• pp.301-312
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• 2019

The importance of the dual drainage system model has increased as the urban flood damage has increased due to the increase of local storm due to climate change. The dual drainage model is a model for more accurately expressing the phenomena of surface flow and conduit flow. Surface runoff and pipe runoff are analyzed through the respective equations and parameters. And the results are expressed visually in various ways. Therefore, inundation analysis results of dual drainage model are used as important data for urban flood prevention plan. In this study, the applicability of the COBRA model, which can be interpreted by combining the dual drainage system with the natural watershed and the urban watershed, was investigated. And the results were compared with other dual drainage models (XP-SWMM, UFAM) to determine suitability of the results. For the same watershed, the XP-SWMM simulates the flooding characteristics of 3 types of dual drainage system model and the internal flooding characteristics due to the lack of capacity of the conduit. UFAM showed the lowest inundation analysis results compared with the other models according to characteristics of consideration of street inlet. COBRA showed the general result that the flooded area and the maximum flooding depth are proportional to the increase in rainfall. It is considered that the COBRA model is good in terms of the stability of the model considering the characteristics of the model to simulate the effective rainfall according to the soil conditions and the realistic appearance of the flooding due to the surface reservoir.

• Journal of Industrial Convergence
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• v.17 no.2
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• pp.29-34
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• 2019

The purpose of this study is to analyze the achievements of employment support by the government support specialization project. The data used in this study are based on the comparison of 5 - year employment support field and the operation results of the program until 2014-2018. The results of the study are as follows. First, the overall employment rate of the university has been continuously increased. Especially, the employment rate of the specialization department has been higher than the employment rate of the non - specialization department. Second, as a result of the analysis of the employment capacity strengthening index and the learning capacity strengthening index, it showed a steady increase in each year and contributed to the cultivation of customized talents required by the local society and the national industry. Third, as a result of analyzing the satisfaction of students who are business users, it was confirmed that the business reflecting the demands of the consumers was realized. Fourth, the continuous improvement of the business and the reflux have made the infrastructure of the employment support project more advanced and the system of supporting employment of the university systematically established. In conclusion, the result of the employment support project according to the specialization program showed excellent results and it is necessary to complement theses results when establishing related business plan in the future.

• Journal of the Society of Disaster Information
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• v.17 no.2
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• pp.206-217
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• 2021

Purpose: Recently, a series of large social disasters have led to a lot of research to prevent social disasters as well as natural disasters and reduce damage. However, this paper aims to select the types of social disasters that local governments should focus on and create basic data for effective countermeasures and mitigation efforts. Method: Among 43 types of disasters announced by the Ministry of Public Administration and Security, 11 types of disasters were selected and collected to select the main types of disasters, and risk types were derived by region with risk maps. In order to derive the risk map, each detailed index was rescheduled to be 0-1 and weights were determined through entropy technique. Result: As a result, about 41% of the major disasters announced by the Ministry of Public Administration and Security were consistent, and the rest of the major types were disasters that could not be obtained or have not occurred in the past 20 years. Conclusion: Therefore, in order to establish an effective prevention and recovery plan for social disasters through this study, it was intended to present social disaster-focused disasters for each local government.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.445-453
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• 2021

This study investigates the factors influencing quality of life for cancer patients based on demographic characteristics, physical-mental health, and oral health. These factors are analyzed using the results from 235 cancer patients in Korea's 7th national health and nutrition survey. Data were analyzed using PASW Statistics Ver. 18.0. Studies show that cancer patients experienced stress (74.5%), depression (84.3%), and activity limitations (15.3%). In oral health, problems chewing were often experienced in groups with low incomes (3.35±.21), activity limitations (2.71±.31), and depression (3.01±.27). The factors influencing quality of life were higher by 3.43 times in the low-income group and by 8.39 times in the activity-restricted group, by 2.74 times in the high-stress group, by 4.58 times in the depression group, by 2.68 times in the chewing-problems group, and were 4.92 times higher in the speech problems group (p<0.05). To improve quality of life, not only mental and physical health care, but also oral care is necessary. An integrated management plan for medical staff in the treatment process of cancer patients is required to prevent mental, physical, and oral discomfort.