• Journal of the Korean Association of Geographic Information Studies
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• v.10 no.2
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• pp.112-121
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• 2007

In occasion of soil loss happened in a basin, soil in the near of a stream may flow into the stream easily, but in case that soil is far away from the stream, sediment yield transferred to rivers by rainfall diminishes. To forecast sediment yield of a stream is an essential item for management of basins and streams. Therefore, sediment yield of soil loss produced from a basin is needed to be calculated as accurate as possible. Purpose of the present research is to calculate soil erosion amount in a basin and to forecast sediment yield flowed into a stream by rainfall and analyze sediment yield in the stream. There are various methods that analyze sediment yield of rivers. In the present study, the soil erosion amount was calculated using Revised Universal Soil Loss Equation(RUSLE) and GRID, and sediment yield was calculated using sediment delivery ratio and empirical methods. DEM data, slope of basin, soil map and landuse constructed by GIS were used for input data of RUSLE. The upstream area of the Yeongsan river basin in Gwangju metropolitan city was selected for the study area. Three methods according to the calculation of LS factor were applied to estimate the soil erosion amount. Two sediment delivery ratio methods for the respective methods were applied and, correspondingly, six occasions in sediment yield were calculated. In addition, the above results were compared by relative amount with estimation by the empirical method of Ministry of Construction & Transportation. Sediment yield calculated in the present study may be utilized for the plan, design and management of dams and channels, and evaluation of disaster impact.

• Journal of Korea Port Economic Association
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• v.30 no.4
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• pp.199-217
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• 2014

There have been relatively lots of studies on the relationships beteen port and city. And, most of the recent studies on the subject shows that the relationship between the two parties is weakening. The contributions of a port to the city economy such as convenience of logistics service utilization, cost reduction, creation of job opportunities and value added production etc. are diminishing, whereas negative effects of port such as environmental effects, limitation of waterfront activities etc. have been increasing. On the other hand, port logistics service demand from city economy is decreasing. As for Busan city, the trend of major economic indicators and growth factor analysis results show that there is hardly any relationships between the development of transportation industry(including port logistics) and the regional economy. Especially, it is identified that most regional industry sectors excluding transportation industry failed to secure competitive advantage. Accordingly, it can be concluded that Busan city economy fails to take advantage of advanced transportation industry sector, which supports overall economic activities. On the other hand, it can be a problem for enhancement of port-city relationships that related and supporting industries of transportation industry such as information and communication industry, financial and insurance industry, and processing and assembling manufacture industry fail to secure competitive advantage in Busan city.

• Research in Community and Public Health Nursing
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• v.11 no.2
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• pp.453-469
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• 2000

This study has a purpose to provide information to help develop nursing intervention for demented elderly staying at home. For this purpose I analysed the relationship of patients' disturbing behaviors with their demographic and social characteristics, premorbid personality, and present environmental characteristics through questionnaire survey on their family members. The survey was performed through direct interview, telephone contact. and mail in the regions of Pusan and Gyeongnam. Among family members contacted. 112 ones made an appropriate response to the survey. The statistical package SAS was utilized for descriptive statistics, correlation coefficients, stepwise multiple regression, and cluster analysis. The results of the study were as follows: 1) Demographic and social characteristics of the patients surveyed are female 81.3%, average age 81.4 years, lack of schooling 83.0%, spouse dead 73.2%, having no other disease 58.9%, average duration of dementia 3.8 years, no medical treatment for dementia 84.8%, good married life 40.2%, and primary care given by daughter-in-law 49.1%. 2) Aggressive Psychomotor Behavior(APB) was observed in a way statistically meaningful in case that primary care was given by daughter-in-law, while Nonaggressive Psychomotor Behavior(NPB) was in case of good married life and primary care given by other than daughter-in-law and spouse. Verbally aggressive behavior (VAB) was observed in groups of female, spouse dead, bad married life, and daughter-in-law's primary care. As for Passive Behavior(PB), it was observed in case that patients had educational background of not less high than middle school and that they were having medical treatment. Functionally Impaired Behavior(FIB) was observed in age group of 60-69 and more than 90, in patients' group having no other disease, and in case that the duration of dementia was not less than 5 years. 3) Premobid Neuroticism(N) showed positive correlation with APB and VAB, while Openness (O) did negative correlation with PB. Agreeableness (A) was proved to have positive correlation with PA and FIB, but to have negative correlation with APB and VAB. In addition, Conscientiousness(C) showed negative correlation with APB and VAB. 4) The worse the psychosocial environment was, the more NPB and VAB were observed. 5) APB was explained 24% by C and primary care-giver, while NPB was explained 28% by psychosocial environment, having other disease or not, and married life. VAB was explained 40% by A. sex, and married life. On the other hand PB was explained 33% by O, A. N, and having medical treatment or not. But any significant factor was not found to explain FIB. 6) A cluster analysis was performed on disturbing behaviors of demented elderly staying at home. It enabled to regroup the demented elderly in 5 patterns: high scored in NPB, high scored in FIB. high scored in NPB and VAB, moderately scored in most disturbing behaviors, and low scored in all areas. In conclusion, disturbing behaviors of demented elderly not only reflect their premorbid personality in the past, but also are affected by their present psychosocial environment. Therefore, it is necessary to encourage and respond them with understanding their disturbing behaviors in relation to their past premorbid personality. In addition, it is important to provide them better psychosocial environment in order to reduce their disturbing behaviors.

• The Korean Journal of Emergency Medical Services
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• v.12 no.1
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• pp.53-67
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• 2008

Purpose : This study is descriptive correlation research to provide basic materials for developing program which can give practical assistance in preventing and managing obesity through more comprehensive approaches of influential factors on obesity found in existing literatures. Methods : Data were collected from the 4th, 5th and 6th graders at 2 elementary schools in Gwangju Metropolitan City and 4 elementary schools in Jeollanamdo province using questionnaire and students' physical examination results from June 15 to July 27, 2006 and data obtained from 1,866 students were used for analysis. Data collected were analyzed with technical statistics and correlation analysis using SPSS/PC(version 12.0). Results : 1. Obesity level of elementary school students was examined as follows; 33.2% had low weight, 44.3% normal, 10.8% overweight and 11.7% obese. 14.8% of boys and 8.6% of girls, 13.5% of the 4th graders, 12.1% of the 5th graders and 9.2% of the 6th graders, and 13.7% of urban students and 9.6% of rural students were obese. 2. According to general characteristics and obesity of the subjects, there were significant differences by sex(${\chi}^2=29.55$, p= .000), grade(${\chi}^2=12.84$, p= .046), region(${\chi}^2=41.96$, p= .000) and pocket money(${\chi}^2=33.43$, p= .001). 3. As genetic factors, all variables including sibling's obesity r= .128(p= .000), mother's obesity r= .098(p= .000) and father's obesity r= .081(p= .001) had influence on children's obesity. 4. Concerning environmental factors, there was positive correlation between eating habits r=- .052(p= .02) and school record r=- .048(p= .04) and there was negative correlation between internet using time r= .050(p= .03) and conflict with parents r= .048(p= .04). 5. Self-respect as psychological factor had negative correlation as r=- .048(p= .04). Conclusion : Consequently, the influential factors on obesity of elementary school students were as follows. Obesity was higher in boys than in girls, in urban areas than in rural areas, in lower grade than in higher grade, in children with obese siblings, obese father and mother, irregular and wrong eating habits, frequent internet uses, parents in conflict and lower school record and self-respect. Therefore, since it was found that these variables were more exact causes to increase children's obesity, development of various obesity mediation programs considering these variables at home, school and society is urgently required.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.6
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• pp.887-894
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• 2018

An electric vehicle is emerging as an alternative to the response of global climate change and sustainability. However, an Electric vehicle has not been popular due to the constraints such as its price or technical limitations. In order to analyze the effect of purchasing electric vehicles, this study conducted a binary logistic regression model that demonstrates the relation between purchasing and influencing variables. Variables which have high correlation were excluded from the model through the correlation analysis to prevent multicollinearity. Socio-economic variables such as the number of owned vehicles, sex, ages are not significant. On the other hand, Variables related to prices, charging and policy are found to have a significant to effect on the purchase of electric vehicles. In accordance with the model estimated result, it seems to be necessary to improve the charging incentives, or to provide electric car information and to expand opportunities for experience electric vehicles. The result is also expected to be helpful for spreading electric vehicles and formulating policies.

• International Journal of Computer Science & Network Security
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• v.21 no.3
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• pp.257-265
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• 2021

Modern methods of regulating migration processes in EU states include a wide variety of adapted, transformed under the sway of globalization tools in order to influence the movement of human capital within the European space. The main purpose of the regulatory policy on migration flows is the redistribution of professionally competent professionals between different spheres of life. Herewith, the determining factor in the effectiveness of such distribution is a rational combination of stimulating and disincentive levers of influence on the movement of citizens of different EU countries and taking into account the motives of such mobility. Modernization of migration management approaches can be a major economic, social, political and cultural progress of European countries. The purpose of the research is to conduct a detailed analysis of existing practices of migration flow management, in particular their stimulation or containment, and to outline key migration trends formed under the influence of multicomponent approaches to migration regulation, transformation of regulatory legislation and changing priorities of modern society. The research methods: statistical-analytical method; ARIS method; method of tabular, graphical and analytical modeling; comparative analysis; systematization, generalization. Results. Current pan-European methods of regulating migration processes are insufficiently adapted to the multinational socialeconomic space; consequently, there are some disparities in the distribution of migrants between EU countries, although the overall dynamics of migration is positive. Fluctuations in the population of European countries during 2000-2019 and trends in the transformation of social-economic space confirm the insufficient level of influence of current methods of regulating migration flows. Along with this, the presence of a characteristic asymmetry in the distribution of migrants requires a greater focus on the modernization of regulatory instruments, in particular, the regulatory mechanism for managing migration processes. As a result of the conducted study, further prospects for the implementation of alternative methods of regulating migration processes in EU states have been outlined; the current and projected limits for increasing the level of observance of migrants' rights at the European level have been clarified through the adoption of appropriate regulatory acts; effective solutions for intensifying the influx of high-quality labor resources from different countries to EU have been identified. The research results can be used to study methods of regulating migration processes in the countries in the global dimension.

• Journal of Navigation and Port Research
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• v.46 no.3
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• pp.203-208
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• 2022

Recently, various digital technology issues such as e-Navigation, Maritime Autonomous Surface Ship (MASS) and Smart ships have constantly emerged in the maritime industry, based on the fourth industrial revolution. The International Maritime Organization is gradually tightening regulations for marine safety and marine environmental protection, and these strengthened regulations are leading to new maritime industries. Thus, the purpose of this study was to design a suitable model to analyze the industrial competitiveness of domestic autonomous operation technology industry, based on the Porter's diamond model. Based on a total of five evaluation factors and 13 detailed factors, the industrial competitiveness of the domestic autonomous operation technology industry was evaluated qualitatively and quantitatively. This industry, which is in the early stage of industrial development, was evaluated as 16.9 points relative to indexing industrial competitiveness. Currently, it is characterized by the simultaneous development of related regulations and core technologies, from the establishment of the scope of the industry. The industrial competitiveness evaluation considering these industrial characteristics is expected to serve as the basis for strategic support and new industrial policy, and impact a wide range of related industries such as shipping, logistics, ports, and shipbuilding and equipment industries.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.5
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• pp.617-626
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• 2022

In Korea, annual precipitation and its variability have gradually increased since modern meteorological observations began, and the risk of disasters has also been increasing due to significant regional variations and recent abnormal climate conditions. Given that damage from storms and floods mainly occurs around rivers, it is crucial to determine the appropriate design frequency for river-related projects. This study examined existing design practices used to determine hydrological design frequencies and suggested a new method to determine appropriate design frequencies. The study collected available data pertaining to seven evaluation factors, specifically the basin areas, shape parameters, channel slopes, stream orders, backwater effect reaches, extreme rainfall frequencies, and urbanized flood inundation areasfor 413 local rivers in Chungcheongnam-do in Korea. The estimated weights for areas of extreme rainfall frequencies and urbanized flood inundation were found to be 18, having a great effect on determining the design frequency. Compared with the established design frequency in previous government reports, the estimated design frequency increased for 255 rivers and decreased for 158 rivers.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.5
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• pp.681-688
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• 2022

According to a recent study, most construction companies in Korea do not manage risk effectively, and it is judged that the risk management system needs to be improved. In addition, most risk-related studies deal with risks from a macroscopic perspective, and there are few studies dealing with process risks at the project construction stage. Therefore, this study tried to suggest a risk response plan through analysis and classification of risk factors that may occur in retaining work among process risks. To this end, a workshop was held for risk experts to identify and analyze risks that may occur during the construction of retaining work for apartments. As a result of the study, it was expected that savings of KRW 4.97 billion would be possible in the 95 % confidence interval, and the maximum possible cost was reduced from KRW 15 billion to about KRW 10 billion. Based on the risk reduction ratio, it was found that risks that can be reduced without any special input cost, risks with large effects in response to risks, and risks with insignificant effects were found. Therefore, using the types and risk factors presented in this study as guides, it is expected that it will be helpful in successfully operating the project if an appropriate response strategy is prepared and systematically responded to the site conditions.

• Ecology and Resilient Infrastructure
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• v.9 no.4
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• pp.269-281
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• 2022

The prediction of changes regarding the distribution of vegetation and plant species according to climate changes is important for ecosystem management. In this study, we attempted to develop an assessment method to evaluate the possibility of the potential distribution of warm-temperate woody plant species of East Asia in Korea. To begin with, a list of warm-temperate woody plants distributed in China and Japan, but not in Korea, was prepared, and a database consisting their global distribution and bioclimatic variables was constructed. In addition, the warm-temperate vegetation zone in Korea was delineated using the coldness index and relevant bioclimatic data were collected. After the exclusion of multicollinearity among bioclimatic variables using correlation analysis, mean temperature of the coldest quarter, mean temperature diurnal range, and annual precipitation were selected as the major variables that influence the distribution of warm-temperate plants. A multivariate environment similarity surfaces (MESS) analysis was conducted to calculate the similarity scores between the distribution of these three bioclimatic variables in the global distribution sites of the East Asian warm-temperate woody plants and the Korean warm-temperate vegetation zone. Finally, using stepwise variable-selection regression, the mean temperature of the coldest quarter and annual precipitation were selected as the main bioclimatic variables that affect the MESS similarity index. The mean temperature of the coldest quarter accounted for 88% of the total variance. For a total of 319 East Asian warm-temperate woody plant species, the possibility of their potential distribution in Korea was evaluated by applying the constructed multivariate regression model that calculates the MESS similarity index.