• Journal of Agricultural Extension & Community Development
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• v.6 no.1
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• pp.15-24
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• 1999

There have always been dilemmas between development and environmental conservation throughout the world. Gradually environmental contamination threatens sustainable development and conservation. we try to study on the sustainable development with environmental conservation. One of the instruments to get this goal is Environmental Impact Statement. Environmental Impact Statement has now become a standard tool of decision making in Environmentally Sound and Sustainable Development. The objectives of this study is to explore and suggest some suggestions for improvements of EIA. 1. Identify all criteria and standards that apply to physical and social environmental components and dynamics. 2. Giving attention to the purpose of the criterion and standard, with respect to resource use and quality. 3. Demonstrate the relevance legal, technical, and scientific authority by early planning through construction, operation and maintenance phases. 4. Implement rationales and protocols for the documentation of standard analytical methods, location of sampling points and statistical analysis of data. 5. Establish precise protocols by predictions of environmental impact relevant for established criteria and standards. Reviewing these protocols with relevant legal authorities prior to their implementation is important.

• Human Ecology Research
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• v.55 no.1
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• pp.27-44
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• 2017

In our society, consumers and enterprises work in cooperation for the continuous development and growth of society as well as construct effective and ethical measures. One of the representative examples are customercentered management activities in corporations, social responsibility activities, and sustainable ethical consumption that show consideration for the consumer's environment. The ethical consumption behavior of consumers becomes a virtuous circle that influences other consumer's ethical decision making by creating an ethical consumption culture. Furthermore, the cost and effort to solve non-ethical consumption problems can be solved. This research aims at aspiring the perception of consumer's ethical consumption and finding measures to increase ethical behavior. This paper further investigated the consumer's ethical consumption behavior, personality traits, perception of consumption society, and ethical judgements. For the research, a structured survey was conducted on 300 university students in Seoul. SPSS ver. 21.0 and AMOS ver. 18.0 programs were used for statistical data analysis. The results indicated differences in variables that influence consumer's ethical consumption behavior (fair trade, boycotts, and environmentally friendly products). In particular, it was evident that ethical judgements (such as the agent, personality traits, and perception consumption society) have different direct and non-direct influences on ethical consumption behavior. Strengthening the management of factors that influence measures that increase university student's ethical consumption behavior in direct and non-direct ways, providing education and improving information are believed effective in increasing ethical consumption behavior.

• Journal of Radiation Protection and Research
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• v.16 no.1
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• pp.53-72
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• 1991

An integrated model is developed in this paper for the performance assessment of high level radioactive waste repository. This integrated model consists of two simple mathematical models. One is a multiple-barrier failure model of the repository system based on constant failure rates which provides source terms to biosphere. The other is a biosphere model which has multiple pathways for radionuclides to reach to human. For the parametric uncertainty and sensitivity analysis for the risk assessment of high level radioactive waste repository, Latin hypercube sampling and rank correlation techniques are applied to this model. The former is cost-effective for large computer programs because it gives smaller error in estimating output distribution even with smaller number of runs compared to crude Monte Carlo technique. The latter is good for generating dependence structure among samples of input parameters. It is also used to find out the most sensitive, or important, parameter groups among given input parameters. The methodology of the mathematical modelling with statistical analysis will provide useful insights to the decision-making of radioactive waste repository selection and future researches related to uncertain and sensitive input parameters.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.11a
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• pp.283-284
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• 2012

High-rise building construction has been increasing for the recent years and the construction process has become more complicated. This suggests a need for precise planning based on reliable data to prevent cost overruns and delays. However, the process planning is implemented based mainly on the experience of engineers that can result in critical damage in cost and time. Accurate productivity estimation and unit cost analysis must be considered important matter to prevent such disaster. This study estimates productivity and unit cost of curtain wall operations in high-rise building construction by simulation techniques and statistical methodologies. This study suggests a decision making methodology for the site personnel that enables to compare various combinations of productivity and unit cost based on reliable data that has been collected in actual construction sites. It is expected that this study contributes to the following research of developing an optimized construction performance assembling model for the site personnel.

• Journal of Preventive Medicine and Public Health
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• v.36 no.3
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• pp.230-238
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• 2003

Objectives : To estimate the value of statistical life (VSL) and health damage cost on theoretical mortality estimates due to environmental pollution. Methods : We assessed the health risk on three environmental problems and eight sub-problems. Willingness to pay (WTP) was elucidated from a questionnaire survey with dichotomous contingent valuation method and VSL (which is the division of WTP by the change of risk reduction) calculated from WTP. Damage costs were estimated by multiplying VSL by the theoretical mortality estimates. Results : VSLs from death caused by air pollution, indoor air pollution and drinking water contamination were about 0.3, 0.5 and 0.3 billion won, respectively. Damage costs of particulate matters ($PM_{10}$) and radon were higher in the sub-problems and were above 100 billion won. Because damage cost depends on theoretical mortality estimate and WTP, its uncertainty is reduced in the estimating process. Conclusion : Health damage cost or risk benefit should be considered as one scientific criterion for decision making in environmental policy.

• Korean Management Science Review
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• v.18 no.1
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• pp.135-145
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• 2001

In recent environment of dynamic management, there is growing recognition that information and knowledge management systems are essential for efficient/effective decision making by CEO. To cope with this situation, we suggest the Data-Miming scheme as a key component of integrated information and knowledge management system. The proposed system measures business performance by considering both VA(Value-Added), which represents stakeholder’s point of view and EVA (Economic Value-Added), which represents shareholder’s point of view. To mine the new information & Knowledge discovery, we applied the improved genetic algorithms that consider predictability, understandability (lucidity) and reasonability factors simultaneously, we use a linear combination model for GAs learning structure. Although this model’s predictability will be more decreased than non-linear model, this model can increase the knowledge’s understandability that is meaning of induced values. Moreover, we introduce a random variable scheme based on normal distribution for initial chromosomes in GAs, so we can expect to increase the knowledge’s reasonability that is degree of expert’s acceptability. the random variable scheme based on normal distribution uses statistical correlation/determination coefficient that is calculated with training data. To demonstrate the performance of the system, we conducted a case study using financial data of Korean automobile industry over 16 years from 1981 to 1996, which is taken from database of KISFAS (Korea Investors Services Financial Analysis System).

• Journal of Electrical Engineering and Technology
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• v.12 no.5
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• pp.1764-1776
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• 2017

To achieve economic stability, distribution Company as an economic institution should be managed by various processes. In this way, knowledge of different processes is the first step. Furthermore, expectations, outputs, requirement data, and sub-processes should be extracted and determined. Accordingly, to assign the performance responsibility of each process, the decision-making points must be introduced and, the deviation or change in set-points should be investigated into processes. Also, the performance of processes could be monitored by introducing of the sub-indictors. In this study, a practical method is presented for monitoring of reliability and power loss indices from viewpoint components' supply chain into the distribution network. At first, the visibility model of the supply chain is illustrated by focus group and the sub-indicators are extracted for each process of this chain. Then, validation and verification of the sub-indicators are accomplished by the Delphi method and, an information dashboard is presented by confirmed the sub-indicators and statistics methods. Finally, the proposed method is investigated by real data in a typical network and the results are analyzed.

• Journal of the Korean Operations Research and Management Science Society
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• v.21 no.3
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• pp.109-125
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• 1996

Biases and errors in the human being's reasoning process have been studied continuously by the researchers, especially psychlogists and social scientists. These bias phenomenon is classified on the basis of the origin, i. e. motivation and cognition. Furthermore the necessity of research on the bias in the management and management information system areas in increased more and more recently, which have their academic backgrounds in the psychology and social science. The biased information stream is transformed into the systematic error due to the motivation and cognitive bias of human-being, then its resulting phenomena are as follows; 1. the availability of salient information 2. preconceived ideas or theories about peoples and event 3. anchoring and perseverence phenomena. In order to reduce the information errors, Satty suggested the Analytic Hierarchy Process (AHP) that is the subject of this paper and that is widely used for evaluation of complex decision making alternatives. THerefore this paper studies AHP's effects and its limitations in applying to the management area. Thus this paper compared the performances of the 3 models : 1 the traditional additive regression model. 2 regression model using the factor score, and 3 the regression model with AHP. As a result, 3 models produce the different outcomes.

• Proceedings of the KIEE Conference
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• 2000.11a
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• pp.180-183
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• 2000

The Battery Energy Storage System(BESS) has lots of advantages such as load levelling, quick response emergency power(spinning reserve), frequency and voltage control, improvement of reliability, and deferred generation and transmission construction. The economic feasibility requires justification from the customer side of meter to promoting the dissemination of BESS nationally. In this paper, we proposed the economic assessment model of customer owned Battery Energy Storage System(BESS) which is complemented and improved the existing model. The proposed model is applied to the typical customer type(light-industrial commercial, and residential) which are taken from the statistical analysis on the load profile survey of Korea Electric Power COmpany (KEPCO). The economic assessment performed for each customer type to justifying their economic feasibility of BESS installation from the economic measures such as payback period, overall benefits, ROI, and ROR. The results of this paper are useful to the customer investment decision making and the national energy policy & strategy.

• Journal of muscle and joint health
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• v.26 no.3
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• pp.184-194
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• 2019

Purpose: There has been a considerable increase in the number of women giving birth at advanced age. The genetic screening of such women is highly desirable. Clinical nurses, however, are not adequately trained to assist such clients. This study aims at identifying the educational needs of nurses in order for them to provide better care and treatment for such women. Methods: 206 South Korean clinical nurses participated in this study. Study variables were measured by nurses' attitudes toward terminating pregnancy (ATP), knowledge of prenatal genetic screening and diagnosis (K-PGSD), and information needs for prenatal genetic screening and diagnosis (I-PGSD). The statistical analysis included T-test, analysis of variance and Pearson's Correlation Coefficient. Results: Mean scores were 34.57±5.73 for ATP, 16.44±3.04 for K-PGSD, and 78.81±10.95 for I-PGSD. The findings demonstrate that nurses have high information needs (I-PGSD) to take better care of women who have positive results from their amniocentesis tests. Conclusion: Information needs among clinical nurses are not currently being met. Education for nurses must include training in counseling to encourage patients' autonomous decision-making regarding their pregnancies.