• Journal of the Korean Society for Marine Environment & Energy
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• v.15 no.2
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• pp.118-125
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• 2012

World population has increased rapidly following the industrial revolution, reaching 7 billion in 2012. Several forecasts estimate that this number will rise to about 8 billion in 2025. Improvements of living standards in developing nations have also raised resource and energy demands worldwide. In consequences, human beings have faced many global and urgent problems, such as global warming, water and food shortages, resource and energy crises, and so on. Many ocean utilization technologies for avoiding or reducing such big problems have been developed, for examples $CO_2$ ocean sequestration, seawater desalination, artificial upwelling, deepwater mining, and ocean energies. It is important, however, to assess such technologies from the viewpoints of sustainability and public acceptancy, since the aims of those technologies are to develop sustainable social systems rather than conventional ones based on fossil resources. Inclusive Marine Pressure Assessment and Classification Technology Research Committee (generally called IMPACT Research Committee) of Japan Society of Naval Architects and Ocean Engineers, has proposed Inclusive Impact Index "Triple I" as an indicator, which can predict both environmental sustainability and economical feasibility, in order to assess the ocean utilization technologies from the viewpoints of sustainability and public acceptancy. This index was considered by combining Ecological Footprint and Environmental Risk Assessment. The Ecological Footprint and the Environmental Risk Assessment are introduced in the first part of this paper. Then the concept and the structure of the Triple I are explained in the second part of this paper. Finally, the economy-ecology conversion factor in Triple I accounting is considered.

• Proceedings of the IEEK Conference
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• 2009.05a
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• pp.258-260
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• 2009

본 논문에서는 최적화 알고리즘인 유전자 알고리즘과 context-based FCM 클러스터링 방법을 이용하여 새로운 형태의 RBF 뉴럴 네트워크의 포괄적인 설계 방법론을 소개한다. 제안된 구조는 클러스터링 기법을 기반하여 사용된 데이터의 특성에 효과적인 모델을 구축하고자 한다. 또한 유전자 알고리즘을 이용하여 모델의 최적화에 주요한 영향을 미치는 파리미터들(-은닉층에서의 contex의 수, contex에 포괄되는 노드의 수, 그리고 contex에 입력되는 입력변수)을 동조한다. 제안된 모델의 설계 공정은 1) K-means 클러스터링을 통한 context fuzzy set에 대한 정의와 설계, 2) context-based fuzzy clustering에 대한 모델의 적용과 이에 따른 모델 구축의 효율성, 3) 유전자 알고리즘을 통한 모델 최적화를 위한 파라미터들의 최적화와 같은 단계로 구성되어 있다. 구축된 RBF 뉴럴 네트워크의 후반부 다항식에 대한 parameter들은 성능지수를 최소화하기 위해 Least Square Method에 의해서 보정된다. 본 논문에서는 모델을 설계함에 있어서 체계적인 설계 알고리즘을 포괄적으로 설명하고 있으며, 더 나아가 제안된 모델의 성능을 다른 표준적인 모델들과 대조함으로써 제안된 모델의 우수성을 나타내고자 한다.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.12 no.1
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• pp.35-42
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• 2007

Thermal discharges from the nuclear power plants into neighboring Korean coastal waters have raised serious disputable arguments from the two parties of local fishermen and scientists involved since late 1970's. To meet the social demands and provide scientific and reasonable solutions, new set of standards have been established which will guide through measuring and processing the various variables and parameters in environmental and fishery impact assessment procedures for the thermal discharge from the nuclear power plants. These are made possible for the first time by the combined efforts by Korean Oceanography Society and Fishery Society. In this paper, Thermal Disharge Impact Index(TI) is proposed by the probability of the local temperatures exceeding critically to local fishery multiplied by the weighted sum of diverse environmental and ecological factors. The TI is essentially conceived to overcome the long-exising bad practices based on the particular excess temperature such as 1. The proposed TI based on the guideline principle proposed by the UNEP(2002) is expected to be practical, economic and self-adaptive. To prove the usefulness of the TI, it is highly recommended to conduct prototype experiments and exercises in a particular nuclear power plant site in the near future.

• Korean Journal of Construction Engineering and Management
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• v.13 no.5
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• pp.84-93
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• 2012

Most of the studies on reduction of buildings' environmental burden in the construction industry have been focused on carbon dioxide emission, although there are various kinds of environmental issues such as global warming, acidification, and etc. which are considered by many researchers. Therefore, this study defined and suggested six impact categories and the principles to assess each impact for the assessment of comprehensive environmental impacts of buildings. The six impact categories are abiotic depletion, global warming, ozone layer depletion, acidification, eutrophication, and photochemical oxidation. A case study has been conducted through comparative analysis of two structural design alternatives to confirm the necessity of assessing the six impact categories. That is, the results of global warming potential and the six impacts proposed in this study were compared. By comparing the results of only global warming potential, the second design alternative using 24MPa concrete was chosen as a better alternative, while the first design alternative using 21MPa concrete was resulted as a better alternative when six impact categories were considered. The results mean that the assessment of various environmental impacts is an appropriate and reasonable approach and the comprehensive assessment offers more reliable results of environmental impacts in the building construction.

• Journal of the Korean Society for Railway
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• v.12 no.1
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• pp.144-150
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• 2009

This study analyzed opinions of specialists checking of industrial environment, analysis of bid guideline to select environment friendly railway corridor and choose weight factors. Thus, 7 major categories were extracted from 20 EIA categories and essential supplement request items for environment friendly railway corridor selection. To select environment friendly railway corridors, many alternatives should be compared and the assessment of each alternative must be carried out on the basis of these 7 categories. To solve this problem, the selected method was AHP which simplifies the complex problems utilizing hierarchy, quantifying qualitative problems through 1:1 comparison, and extracting objective conclusions by maintaining consistency. As a result, a GUI-based program was developed which provides basic values of weighted parameters of each category defined by specialists, and a quantification of detailed assessment guidelines to ensures consistency.

• 한국노년학
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• v.39 no.4
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• pp.741-762
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• 2019

The purpose of this study is to identify the Nutrition Quotient for Elderly(NQ-E) of the elderly living in the community and to investigate the characteristics of living conditions affecting the nutritional status of the elderly. The subjects of the survey were 1,970 elderly single elderly households aged 65 and over in the nationwide through convenience sampling method. A survey cooperative system was established with Comprehensive Support Center for Elderly Living Alone, and the 25 social welfare institutions. 385 Life Managers for Elderly Living Alone participated as a survey agent. As a result, NQ-E was 51.14 points, which is the lowest level in the NQ-E, and the explanatory power was 20.1% in multiple regression analysis. Significant variables were age, sex, subjective health status, low number of medication, non-smoker, non-alcoholic, satisfactory economic status, academic status, and the interaction with family and neighbors. Based on this result, this study explains that comprehensive measures of nutritional management for the elderly living alone needs to be sought.

• The Journal of the Korea Contents Association
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• v.16 no.3
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• pp.596-606
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• 2016

The purpose of this study was to find out the factors influencing asthma, allergic rhinitis, and atopic dermatitis among Korean adolescents. Data of 72,060 adolescents aged 12 to 18 years were derived from the 10th Korean youth's risk web-based study, which was conducted in 2014. Multiple logistic regression analysis revealed that factors influencing asthma was sex, age, BMI, subjective socioeconomic status, smoking, and subjective perception of stress. Factors influencing allergic rhinitis was age, place of residence, subjective socioeconomic status, drinking, and subjective perception of stress. Factors influencing atopic dermatitis was sex, age, subjective socioeconomic status, drinking, and subjective perception of stress. In conclusion, regulatory policy of lifestyle, such as smoking and drinking adversely affect allergy related disease in adolescents strengthening comprehensive prevention education and stress management are probably the two need to be implemented at national side.

• Journal of Family Resource Management and Policy Review
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• v.26 no.3
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• pp.19-34
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• 2022

There are growing concerns about debt insolvency among youth and low-income households. The deterioration in household debt quality among young people is due to a combination of sluggish employment, an increase in student loan burden and an increase in high-interest loans from the secondary financial sector. The purpose of this study was to explore the possibility of household debt default among young borrowers in Korea and to predict the factors affecting this possibility. This study utilized the 2021 Household Finance and Welfare Survey and used random forest algorithm to comprehensively analyze factors related to the possibility of default risk among young adults. This study presented the importance index and partial dependence charts of major determinants. This study found that the ratio of debt to assets(DTA), medical costs, household default risk index (HDRI), communication costs, and housing costs the focal independent variables.

• Journal of the Korean Data and Information Science Society
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• v.27 no.1
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• pp.143-154
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• 2016

This study was designed to construct and test structural equation modeling on nurses' emotional labor including antecedents and consequences based on the model of Morris and Feldman (1997). A total of 247 nurses working at secondary and tertiary hospitals in three provinces responded the questionnaires. Emotional labor was measured by frequency of emotional labor, attentiveness of required display rules and emotional dissonance. Routineness of job, job autotomy and organizational support were measured as antecedents; and emotional exhaustion, job satisfaction and organizational commitment were included as the consequences of nurses' emotional labor. Data were analyzed by SPSS 21.0 and AMOS 21.0. The model fitness indices for the hypothetical model showed NFI=.94, CFI=.97, and RMSEA=.07. Job autonomy and perceived organizational support had significant effects on emotional labor. The emotional labor influenced positively emotional exhaustion and negatively job satisfaction and organizational commitment. Nurses' emotional labor mediates between job characteristics and nurses' psychologic results indicating more autonomy and support can reduce nurses' emotional labor and then increase their satisfaction and organizational commitment, and decrease emotional exhaustion.

• Journal of Digital Convergence
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• v.18 no.5
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• pp.145-155
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• 2020

The purpose of this study investigates the relationship between business strategy and cost behavior according to the corporate life cycle. To do so, I first examine the relationship between cost behavior and business strategy. And then, I analyze the effect of the business strategy on cost behavior conditional upon corporate life cycle based on listed Korean firms from 2000 to 2019. Specifically, the business strategy index is calculated by using the six continuous financial factors and the Prospector and Defender was defined on the score. Also, the corporate life cycle is distinguished based on the cash flow pattern. I find the evidence that the Prospector firms are likely to strengthen the asymmetry of cost behavior (cost stickiness), and examined that such a relationship was most strongly represented in the Introduction. This study is meaningful in that this is a more comprehensive analysis by examining business strategy and cost strategy according to the corporate life cycle and expand the application of financial information by using financial indicators to distinguish business strategies.