• Journal of the Korean Society of Safety
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• v.18 no.2
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• pp.86-91
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• 2003

The utility and the nuclear research institutes in korea have conducted research for improving inefficient requirements in technical specifications using the results of probability risk assessments and informations with risk. However, the guidance for reviewing the improved technical specifications has not been developed. The objective of this study is to develop a decision-making framework for investigating and reviewing the technical documents associated with the to changes of technical specification This study has developed a decision-making framework for reviewing the improvements of the RI-TS(Risk-Informed Technical Specifications). This work may contribute to enhancing both the safety and the efficiency of nuclear power plants by changing Technical Specifications proposed by the utility.

• Nuclear Engineering and Technology
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• v.52 no.7
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• pp.1587-1596
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• 2020

The location selection for nuclear power plants (NPP) is a strategic decision, which has significant impact operation of the plant and sustainable development of the region. Further, the ranking of the alternative locations and selection of the most suitable and efficient locations for NPPs is an important multi-criteria decision-making problem. In this paper, the non-sequential Monte Carlo probabilistic method and the Latin hypercube sampling probabilistic method are used to evaluate and select the optimal locations for NPP. These locations are identified by the power plant's onsite loads and the average of the lowest number of relay protection after the NPP's trip, based on electricity considerations. The results obtained from the proposed method indicate that in selecting the optimal location for an NPP after a power plant trip with the purpose of internal onsite loads of the power plant and the average of the lowest number of relay protection power system, on the IEEE RTS 24-bus system network given. This paper provides an effective and systematic study of the decision-making process for evaluating and selecting optimal locations for an NPP.

• Korean Journal of Social Welfare
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• v.57 no.4
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• pp.5-33
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• 2005

In order to examine the causes of the social policy changes in Korea during the late of 1990s, this study tries to compare the social policy decision-making structure between Kim Yong-Sam Government and Kim Dae-Jung Government. This study applies policy network analysis method which measures the relation and power structures of policy actors and as a result shows the characteristics of the policy making structure. Analysing the 6 policy domains and 52 policy events, this study finds that the importance and location of veto points which were created by the social policy decision processes have changed. In Korea, social policy decision processes have been produced power structures in which Ministry of Finance and Economic Planning Board have played a decisive role. In result, these executives can have controlled policy making processes and had veto power, i. e. veto points in policy decision-making structure. But, during Kim Dae-Jung government, accountability issues of financial crisis and reorganization of ministries have changed the importance and location of veto points. Pro-welfare groups of civil society got a chance to penetrate policy decision-making structure during that time. This study argues that these changes of policy decision-making structure may be associated with the social policy changes in Korea during the late of 1990s.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.5
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• pp.918-922
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• 2009

The power expansion planning is large and capital intensive capacity planning. In the past, the expansion planning was established with the proper supply reliability in order to minimize social cost. However, the planning cannot use cost minimizing objective function in the power markets with many market participants. This paper proposed the power expansion planning process in the power markets. This system is composed of Regulator and GENCO's model. Regulator model used multi-criteria decision making rule. GENCO model is very complex problem. Thus, this system transacted the part by several scenario assuming GENCO model.

• Korean Journal of Human Ecology
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• v.10 no.1
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• pp.127-139
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• 2001

The purpose of this study was to find out the relationships among the elderly's self-esteem and life-adjustment according to decision-making power in their family. Interview survey was conducted and were selected. 296 over age 60 who lived in Jeonju. Frequencies, Percentiles, Pearson's correlation, t-test, ANOVA and Duncan's method were utilized for data analysis. The findings of this study were as follows ; 1) Decision-making power of the elderly in family had significant differences according to sex, coresiding with married children, and the sum of monthly personal expenses. 2) Elderly's self-esteem had significant differences according to sex, the present job, the situation of a spouse, and the sum of the monthly personal expenses. 3) Elderly's life-adjustment had significant difference according to residence type, the present job, the situation of a spouse, religion, education, and the sum of the monthly personal expenses. 4) Clothing and food in family had significant differences according to sex. 5) The elderly men's self-esteem had positive relationship with housing, sons and daughters guidance, grandchildren care, and family event and etc. But the elderly women's self-esteem had positive relationship with food, grandchildren care, and family event and etc. 6) The elderly men's life-adjustment had positive relationship with clothing, food, housing, family economy, sons and daughters guidance, grandchildren care, and family event and etc. But the elderly women's life-adjustment had positive relationship with food, housing, sons and daughters guidance, grandchildren care, and family event and etc.

• Journal of IKEEE
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• v.20 no.1
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• pp.9-15
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• 2016

The endpoint detection (EPD) is the most important technique in plasma etching process. In plasma etching process, the Optical Emission Spectroscopy (OES) is usually used to analyze plasma reaction. And Plasma Impedance Monitoring (PIM) system is used to measure the voltage, current, power, and load impedance of the supplied RF power during plasma process. In this paper, a new decision making algorithm is proposed to improve the performance of EPD in SiOx single layer plasma etching. To enhance the accuracy of the endpoint detection, both OES data and PIM data are utilized and a newly proposed decision making algorithm is applied. The proposed method successfully detected endpoint of silicon oxide plasma etching.

• Journal of the Korea Safety Management & Science
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• v.10 no.1
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• pp.91-105
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• 2008

Nowadays, circulation industry is taking charge of important role in improvement of competitive power on the manufacturing industry and public welfare increase of consumer, price stabilization, employment creation and so on. A lot of research have been progressing for formation of total circulation complex, but decision making for selection of location on some facility is only calculated the optimum value when correct data values are inserted. However, a lot of decision making is accomplished in situation that have little knowledge of objective and constraints and as real world is also evaluated inclusive of analyst's subjectivity about variable, indefinite and fuzzy part, so it is decreasing a reliability on evaluation result and complicating objective evaluation on various effect and negative impact. Accordingly, from under like this situation, this study is to develop location decision model of circulation complex using fuzzy theory from the intention for the most reasonable decision making in fuzzy situation based on decision making problem on conventional location and size decision that did to be satisfactory constraints necessarily.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.4
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• pp.171-178
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• 2018

Recently, the continuing operation of nuclear power plants has become a major controversial issue in Korea. Whether to continue to operate nuclear power plants is a matter to be determined considering many factors including social and political factors as well as economic factors. But in this paper we concentrate only on the economic factors to make an optimum decision on operating nuclear power plants. Decisions should be based on forecasts of plant accident risks and large and small accident data from power plants. We outline the structure of a decision model that incorporate accident risks. We formulate to decide whether to shutdown permanently, shutdown temporarily for maintenance, or to operate one period of time and then periodically repeat the analysis and decision process with additional information about new costs and risks. The forecasting model to predict nuclear power plant accidents is incorporated for an improved decision making. First, we build a one-period decision model and extend this theory to a multi-period model. In this paper we utilize influence diagrams as well as decision trees for modeling. And bayesian statistical approach is utilized. Many of the parameter values in this model may be set fairly subjective by decision makers. Once the parameter values have been determined, the model will be able to present the optimal decision according to that value.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.275-288
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• 2021

This study was attemted to grasp the factors affecting the clinical decision-making ability of nurse. Data were collected from 156 nurse working in hospital in G-do. Analysis was done using t-test, ANOVA, Pearson correlation coefficient, and Multiple regression with IBM SPSS WIN/25.0. The most influential factor on the subjects' clinical decision-making ability was nursing Research 'very interest', critical thinking tendency, 'master/doctor', clinical experience 'more than 20 years and 1 month', moral behavior, nursing research 'important', 'single', clinical work experience '5 years, 1 month-10 years', department work experience '3 years 1 month-5 years'. The explanatory power was 51.4%. It was significant in that it was confirmed that interest and importance, moral behavior, academic background, and career are variables that influence clinical decision-making ability. The results of this study can be utilized as basic data for the development of intervention plans and programs that can increase clinical decision-making ability in the context of an ethical dilemma. In addition, developing and verifying educational programs that can increase clinical decision-making abilities in ethical dilemmas is needed.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.197-204
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• 2019

The purpose of this study was to explore factors that influence decision making for smartphone users. This study sets intimacy, personal connection, use & dependence, familiarity and expertise, efficacy and effectance, self-identity, and control as independent variables and sets decision making as dependent variables. In this study, 200 smartphone users were collected and analyzed through questionnaires, and Smartpls 3.0 was used to understand the impact between variables. Five of the six factors that affected smartphone users' psychological strength were analyzed to have affected their decision-making. In addition, we examined the relationship between psychological effects and use period as a control variable. The results of this study can be used as a basis for the consumer behavior of smartphone devices in the development of smartphone devices.