• Journal of the Korean Regional Science Association
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• v.31 no.2
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• pp.29-45
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• 2015

Urban household's interest in moving to rural area after retirement have been increasing. Most of them live in rural areal for the sake of pleasant natural environment such as fresh air, clean water. The purpose of the study is to analyse characteristics of them and factors affecting their decision. In 2010, about 27% of urban households wish to migrate to rural area after retirement. The results from the random intercept binary logit model implies that 40~50 age, less high-school graduate and middle-income households are more likely to move. And households are more concerned with residential environment-noise, air, water- than house condition. Also, more people have moved to rural in the region. more households wish to move. It implies that information about urban-to-rural migration and life in rural area affect people's positive attitude to move to rural after their retirement.

• Perspectives in Nursing Science
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• v.6 no.1
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• pp.67-76
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• 2009

Recently, small and medium-sized hospitals which are located in rural areas have many difficulties in securing high quality nurses. That is because working environments for nurses in small and medium-sized hospitals in rural areas are poor compared with those of big hospitals in urban. As a result, the migration of nurses from small and medium-sized hospitals in rural areas to big hospitals in urban is continuously happening. In general, big hospitals provide nurses with high level of salary and fringe benefits. To prevent the migration of nurses, chief executive officers of small & medium hospitals in rural areas have been interested in improving nurses' working conditions including wages. Also, they have raised nurses' salary and improved working conditions. But, basically these individualized efforts have some limit. In connection with this, medical interest groups have produced various voices in terms of interpretation and solutions for these issues. However, from the future perspectives, it seems evident that two approaches for both manpower supply and demand plans of nurses are necessary. They should contain not only accurate estimation of the supply-demand of nursing manpower but also the improvement of working conditions and wages of nurses. Estimation of nursing manpower supply-demand depends on the standards and criteria being used. Supply and demand may be met or not in accordance with the points emphasized on the decision. In the articles, issues regarding nursing manpower, levels of salary, other working conditions and social support system for child care are discussed. According to Joe's report (2005), most health institutions did not meet the guidelines of nurse staffing in Medical Law. The wages of nurse vary on every hospital and there is a big difference in wages' range. The average starting salary for a nurse is 22 million won a year. In case of tertiary hospitals, it reaches up to 30 million won a year. Nurse as a profession should have a strong responsibility and should take care of the patients for 24 hours with three working shifts. Also, most of them are female who have the burden of child rearing. Therefore, it is suggested to increase the salary, to provide comfortable working conditions, and to have social support system for nurses with household affairs.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2000.05a
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• pp.59-63
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• 2000

At military bases, environmental restoration activities resulting from oil contamination are growing concerns of preventing adverse effects on human health and environments. Its technologies are still under developing stage through some countries such as United States and Germany. This study is focused on developing model for a decision-maker to assist the restoration priority under the situation of limited resources such as budget and time. The Model, named the Base Restoration Priority Decision model(BRP model), is composed of the three factors : oil contaminants receptors, and the potential migration pathways. Each risk rating of factor is combined in the 27 matrix blocks and set immediate, moderate, and delayed action category designated restoration priority. This is categorized to group sites into three degree using the simplest of assessment system. As a result, the model will be able to apply to the effective allocation of resources for the restoration by any decision-maker because the model is easy to understand. Also, the continuous study will have established risk assessment system for the restoration of contaminated military with this study as the starting point.

• Journal of Korea Technology Innovation Society
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• v.17 no.1
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• pp.264-288
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• 2014

The competition for attracting outstanding HRST (human resource for science and technology) who can lead technological innovation is heating up all over the world. The various concepts, which are brain drain, brain gain, brain overflow, brain migration, brain circulation, are used to explain the international mobility of HRST. But the concept of brain scout is the more adequate for explaining in the case of outstanding HRST as the main cause of excessive competition for scouting. This study analyzed the critical factors of the determinants of Korean students in the USA who have intentions of returning to Korea in view of brain scout. As the first step in this study, potential factors and hypothesis are established by the interviews. As the second step, the major factors are examined by surveys and hypothesis testing. Also, a new model for decision-making is proposed which describes intentions of returning to Korea by logistic regression analysis and contributions of each factor derived from this study were compared. Finally, policy implications for attracting outstanding HRST and the limit of this study are discussed.

• Journal of Electrical Engineering and Technology
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• v.10 no.4
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• pp.1508-1517
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• 2015

Optimal Power dispatch is the short-term decision of the optimal output of a number of power generation facilities, to meet the system demand, with the objective of Power dispatching at the lowest possible cost, subject to transmission lines power loss and operational constraints. The operational constraint includes power balance constraint, generator limit constraint, and emission dispatch constraint and valve point effects. In this paper, Opposition based Differential Evolution Algorithm (ODEA) has been proposed to handle the objective function and the operational constraints simultaneously. Furthermore, the valve point loading effects and transmission lines power loss are also considered for the efficient and effective Power dispatch. The ODEA has unique features such as self tuning of its control parameters, self acceleration and migration for searching. As a result, it requires very minimum executions compared with other searching strategies. The effectiveness of the algorithm has been validated through four standard test cases and compared with previous studies. The proposed method out performs the previous methods.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.419-421
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• 2018

Cloud vehicular networks are a promising paradigm to improve vehicular through distributing computation tasks between remote clouds and local vehicular terminals. Software-Defined Network(SDN) can bring advantages to Intelligent Transportation System(ITS) through its ability to provide flexibility and programmability through a logically centralized controlled cluster that has a full comprehension of view of the network. However, as the SDN paradigm is currently studied in vehicular ad hoc networks(VANETs), adapting it to work on cloud-based vehicular network requires some changes to address particular computation features such as task computation of applications of cloud-based vehicular networks. There has been initial work on briging SDN concepts to vehicular networks to reduce the latency by using the fog computing technology, but most of these studies do not directly tackle the issue of task computation. This paper proposes a Software-Defined Cloud-based vehicular Network called SDCVN framework. In this framework, we study the effectiveness of task computation of applications of cloud-based vehicular networks with vehicular cloud and roadside edge cloud. Considering the edge cloud service migration due to the vehicle mobility, we present an efficient roadside cloud based controller entity scheme where the tasks are adaptively computed through vehicular cloud mode or roadside computing predictive trajectory decision mode. Simulation results show that our proposal demonstrates a stable and low route setup time in case of installing the forwarding rules of the routing applications because the source node needs to contact the controller once to setup the route.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.238-240
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• 2018

Cloud vehicular networks are a promising paradigm to improve vehicular through distributing computation tasks between remote clouds and local vehicular terminals. Software-Defined Network(SDN) can bring advantages to Intelligent Transportation System(ITS) through its ability to provide flexibility and programmability through a logically centralized controlled cluster that has a full comprehension of view of the network. However, as the SDN paradigm is currently studied in vehicular ad hoc networks(VANETs), adapting it to work on cloud-based vehicular network requires some changes to address particular computation features such as task computation of applications of cloud-based vehicular networks. There has been initial work on briging SDN concepts to vehicular networks to reduce the latency by using the fog computing technology, but most of these studies do not directly tackle the issue of task computation. This paper proposes a Software-Defined Cloud-based vehicular Network called SDCVN framework. In this framework, we study the effectiveness of task computation of applications of cloud-based vehicular networks with vehicular cloud and roadside edge cloud. Considering the edge cloud service migration due to the vehicle mobility, we present an efficient roadside cloud based controller entity scheme where the tasks are adaptively computed through vehicular cloud mode or roadside computing predictive trajectory decision mode. Simulation results show that our proposal demonstrates a stable and low route setup time in case of installing the forwarding rules of the routing applications because the source node needs to contact the controller once to setup the route.

• Korea journal of population studies
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• v.31 no.2
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• pp.157-189
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• 2008

This study aims at exploring some statistical aspects in response to the increase of foreigners and immigrants within the population of Korea. Such an interest conducts our case study of France with regard to the census and legal systems that restrict definition and measures of foreign population in the country. This study also explores historical background, legal entities and authorities involved in policy-related decision making in census and other statistics, and processes of statistical production on the concerned population. Also, an importance of statistical contributions to the immigration policies is discussed.

• Journal of the Korea Society of Computer and Information
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• v.22 no.11
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• pp.89-96
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• 2017

This study analyzed how mental health affects stress in adolescents. The subjects of the study were data of about 60,000 middle and high school students living in the country, using cross-tabulation data and chi - square test to analyze the relationship between stress and mental health of adolescents. As a result of the research, it was found that the adolescents exposed to the excessive stress showed a poor correlation with the recovery of the fatigue, while the adolescents with relatively low stress showed the good recovery of fatigue. In the case of mental illness, depression or despair, the students who answered that they were stressed showed a lot of experience. In the case of suicide ideation, suicide attempt, and suicide attempt, the number of attempts to commit suicide was high when the level of perceived stress was high similar to the result of previous analysis. This finding confirms that stress is an important factor in the quality of life in adolescent mental health. It can be used as a strategy and business to prevent the problem of youth suicide in modern society in advance by stress management.

• International Journal of Computer Science & Network Security
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• v.24 no.4
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• pp.147-154
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• 2024

The continuous increase in urban population due to migration of mases from rural areas to big cities has set urban water supply under serious stress. Urban water resources face scarcity of available water quantity, which ultimately effects the water supply. It is high time to address this challenging problem by taking appropriate measures for the improvement of water utility services linked with better understanding of demand side management (DSM), which leads to an effective state of water supply governance. We propose a dynamic framework for preventive DSM that results in optimization of water resource management. This paper uses Agent Based Modeling (ABM) with Digital Twin (DT) to model water consumption behavior of a population and consequently forecast water demand. DT creates a digital clone of the system using physical model, sensors, and data analytics to integrate multi-physical quantities. By doing so, the proposed model replicates the physical settings to perform the remote monitoring and controlling jobs on the digital format, whilst offering support in decision making to the relevant authorities.