• Proceedings of the Plant Resources Society of Korea Conference
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• 2011.10a
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• pp.17-17
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• 2011

본 연구는 지역이 가지고 있는 중요한 자원을 자연 생태적 요소, 역사 문화적 요소, 시각 환경적 요소 등으로 분류한 후 충남지역 16개 시 군을 대상으로 군의 상징적 요소로서 가치 있는 자원의 발굴과 동시에 개발에 밀려 점점 사라져가는 농산어촌 대표경관의 추출을 통해 자원의 중요성을 AHP(계층 분석적 의사 결정기법)모델을 통해 분석하여 상호 중요도를 파악하고자 한다. 이러한 연구를 통해 지역의 대표적인 상징적 요소와 경관적 요소의 상관성을 파악함과 동시에 중요도에 따라 순위(ranking ordering)를 결정함으로서 지역의 정체성(identity)을 확보하고, 향후 보전할 자원의 특성을 파악함으로써 지역의 문화적, 환경적, 생태적 자원가치의 패러다임을 구축하고자 한다. 연구방법은 1차적으로 문헌조사를 통한 지역의 자원특성에 대한 분류체계를 설정한 후 전문가 집단을 선정하여 설문조사를 통한 통계적 분석방법을 사용하고자 한다. 전문가 집단은 지역에 대한 비교적 잘 파악하고 있는 지역전문가(관련대학 교수, 공무원, 연구원 등)로 구성하였으며, 1, 2차 설문을 통한 상징성 및 대표경관자원을 최종적으로 선정한 후, 3차 설문에서는 농촌 및 경관관련 전문가 집단을 재선정하여 AHP(계층 분석적 의사결정)기법을 통한 자원의 중요도를 파악하고자 한다. 분석방법은 자료의 계량적 분석을 위해 통계프로그램인 SPSS 12.0 for Windows와 도출된 상징요소의 가중치를 파악하기 위해 AHP 프로그램인 ExpertChoice 2006을 사용하여 도출된 상징요소의 가중치별 순위를 측정하여 분석의 과학성, 논리성, 타당성을 확보하고자 한다.

• Environmental and Resource Economics Review
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• v.33 no.3
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• pp.241-261
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• 2024

This study analyzes the determinants of greenhouse gas emissions using data from 16 metropolitan municipalities in South Korea. The STIRPAT model, which probabilistically models environmental impacts, was employed for the analysis. Both homogeneous and heterogeneous panel analyses were utilized. Recognizing that results from homogeneous panel analysis could be distorted due to the characteristics of panel data, cross-sectional dependence and slope homogeneity tests were conducted. The tests indicated that it is appropriate to use estimates that consider cross-sectional dependence and reflect slope heterogeneity. Therefore, the results from heterogeneous panel analysis were presented as the main findings. The analysis identified income (per capita GRDP) and energy efficiency (energy intensity) as key determinants of greenhouse gas emissions. Conversely, population was found not to be a key factor, and the industrial structure of the regions (share of the service industry in value-added) was also identified as a potential determinant of greenhouse gas emissions. The hypothesis of the Environmental Kuznets Curve was not statistically significant, suggesting that improving energy efficiency, rather than income growth and economic development, would be the most effective policy tool for reducing greenhouse gases in each municipality.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.1
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• pp.119-126
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• 2018

The purpose of this study is to understand the important factor of internet travel product purchase according to the characteristics of SNS tourism information. The characteristics of SNS tourism information perceived by travel product consumers are investigated as four major dimensions; reliability, interest, interaction, and usefulness. 17 items of online travel product purchase are adopted and produced four factors namely; safety, price & cost, customer service and convenience. We confirm that consumer have high importance on reliability consider convenience as most important factor of online travel product purchase. Interest of SNS tourism information have significant relation with price & cost, and Usefulness and Interaction of SNS tourism information have significant relation with customer service of online travel product purchase.

• Journal of Korea Port Economic Association
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• v.28 no.1
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• pp.263-288
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• 2012

This study aims to define which factors will contribute to vitalization of Saemangeum New Port to secure international competitiveness in order to attract international shipping companies, shippers and forwarders in constructing Saemangeum New Port, and to propose subsequent implications. For research methods of the current study, a factor analysis and a decision making method of analytic hierarchy process(AHP) were used. Through precedent studies, total 11 measuring variables were selected including short entrance and exit channels, main infrastructure development project, tax cut and deregulation, and through a factor analysis, total 3 high rank evaluation factors including 'location and facilities', 'surrounding infrastructure and hydrophile property', and 'local policy and environment'. Analysis results summarizing a test of reliability of measuring variables in this study indicate that as Cronbach alpha coefficient of total 11 measuring variables were turned out to be over 0.8, it is surpassing general average 0.6, which means there is reliability.

• Journal of the Korean Geographical Society
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• v.38 no.5
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• pp.725-740
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• 2003

The National Land Planning and Use Law Act at the beginning of 2002, introduced Land Suitability Assessment System(LSAS) in order to mitigate conflicts between development and conservation needs for land. LSAS is to assess land characteristics according to its physical, locational, and environmental characteristics, and then to classify it into several categories based on its usability. This study aims to review the factors to determine the suitability of the land and their weights. Land suitability is determined by a variety of factors, such as land-surface slope and altitude, the type of land use in neighboring areas, accessibility to public facilities and existing developed areas, and ecological characteristics of the land. This article analyzed these factors and their influences by using the Delphi survey and Analytic Hierarchical Process. One of the most influential factors on the development suitability of land is the distance to developed areas and public facilities. On the other hand, the slope and altitude of the land have comparatively low influences on the land development. The coverage of prime cultivating land of the neighbouring region and slope of the land are analyzed as important factors on the agricultural suitability of the land. The ecological features and the ratio of conservation area in the neighbourhood are counted as the most important factors in determining the land for conservation. This article tested these factors and their weights in assessing land suitability of land as a case study.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.259-259
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• 2019

시계열 자료들을 분석하고자 하는 경우 자료가 정상성(stationarity)을 만족하는 경우는 드물다. 특히 계절성을 제거한 자료들에서는 정량화하기 어려운 주기성이 많이 관찰된다. 즉, 어떤 특정지역에서 나타나는 현상이 다른 기상 현상에 영향을 미칠 것은 자명한 일이나 그 관련성이 선형(linearity)일 가능성은 극히 드물다. 따라서 그들 사이의 관련성이 선형성에 근거한 지표들로 정량화되어야 한다. 이러한 문제점을 해결하기 위해서 다양한 방법이 사용되며 그중에서 웨이블릿 분석을 통해 본 연구를 진행하였다. 웨이블릿 변환(wavelet transforms)은 특수한 함수의 집합으로 구성되어 기존 웨이블릿 신호의 분석을 위해 사용되는 방법이다. 이 변환은 푸리에 변환에서 변형된 방법으로 특정한 기저 함수(base function)를 이용하여 기존의 시계열 자료를 주파수로 바꾸는 변환이다. 웨이블릿 변환에서 기저 함수를 모 웨이블릿이라고 하며 이를 천이, 확대 및 축소 과정을 통해 주파수를 구성한다. 웨이블릿 분석은 모 웨이블릿을 분해하고 재결합하여 시계열 분석을 할 수 있다. 모 웨이블릿 함수에는 Haar, Daubechies, Coiflets, Symlets, Morlet, Mexican Hat, Meyer 등의 여러 가지 종류의 모 웨이블릿 함수가 있으며 모 웨이블릿이 달라지면 결과가 다르게 나타난다. 기존에는 Morlet 웨이블릿을 주로 이용하여 주파수분석에 사용하여 결과를 도출하였다. 그리고 시계열 자료는 크게 백색잡음(White Noise), 장기기억(Long Term Memory), 단기기억(Short Term Memory)으로 나뉜다. 각 시계열 자료의 종류에 따라 임의의 시계열 자료를 산정하여 그에 따른 웨이블릿 분석을 통해 모 웨이블릿의 특성을 도출하였다. 본 연구에서는 웨이블릿 분석을 통해 시계열 자료의 최적 모 웨이블릿을 결정하고자 남방진동지수(SOI), 북극진동지수(AOI)의 자료를 이용하여 웨이블릿 분석을 시도하였다. 웨이블릿 분석은 모 웨이블릿에 따라 달라지는 결과를 토대로 분석하였으며 이를 정상성과 지속성에 따라 분류된 시계열에 적용하여 최적 모 웨이블릿을 결정하고자 하였다. 본 연구에서는 임의의 시계열 자료에서 설정한 최적의 모 웨이블릿을 AOI와 SOI와 같은 실제 시계열 자료에 대입하여 분석을 진행하였다. 본 연구에서는 시계열 자료의 종류를 구분하고 자료의 특성에 따라 가장 적합한 모 웨이블릿을 구하고자 하였다.

• Journal of Korean Society of societal Security
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• v.4 no.2
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• pp.29-40
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• 2011

The objective of this paper is to develop an intelligent decision support system that is able to advise disaster countermeasures and degree of incidents on the basis of the collected and analyzed signs of disasters. The concepts derived from ontology, text mining and case-based reasoning are adapted to design the system. The functions of this system include term-document matrix, frequency normalization, confidency, association rules, and criteria for judgment. The collected qualitative data from signs of new incidents are processed by those functions and are finally compared and reasoned to past similar disaster cases. The system provides the varying degrees of how dangerous the new signs of disasters are and the few countermeasures to the disaster for the manager of disaster management. The system will be helpful for the decision-maker to make a judgment about how much dangerous the signs of disaster are and to carry out specific kinds of countermeasures on the disaster in advance. As a result, the disaster will be prevented.

• 한국노년학
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• v.29 no.2
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• pp.579-591
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• 2009

The purpose of this study is what are the factors affecting decision making for selection of social welfare facility, esp., elderly care facility. The resident's selection for social welfare facility are relatively new terms in the Korean social work. To explore the factors, we employed an empirical study. The collected data was analyzed by using SEM(Structural equation modeling). As the results, the standardized regression coefficient of the hypothesis that the service quality will affect the service satisfaction is equal to 0.555(t=6.723, p<0.01) and the coefficient that the service satisfaction will affect the decision making is equal to 0.766. The absolute fitness of the SEM model shows χ² = 580.151(d.f.=317, p-value=0.000) and RMSEA=0.063, so that the model is absolutely fit. Since CFI=0.915, the model is comparatively fit. Conclusively speaking, the hypothesis that service quality affects to service satisfaction was supported. The hypothesis that service satisfaction affects to decision making was also supported. By accounting for the results of the analysis, this study verified the service quality leading to service satisfaction is an important factor for resident to select a residential facility.

• The Korean Journal of Financial Management
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• v.20 no.2
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• pp.41-72
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• 2003

The purposes of this paper are to build theoretical and empirically testable model to identify determining factors of ownership structure, and to analyze this model empirically using th Korea Stock Exchange panel data, and to test the impact of opening the stock market on the determinants of ownership structure. The determining factors of ownership structure identified in this paper include debt ratio, dividend, asset characteristics, profitability, growth business risk, size, institutional investors and chaebol-non chaebol dummy variable. Empirical panel estimation test reveals that this model can explain about $9\sim11%$ of the cross sectional variance in the equity ratio of large shareholders. The reasons that this model has too explanatory power are that some variables were measured with errors, and that there were some omitted variables in tested model. The regression results on the model variables ar generally in line with predictions. But the coefficient estimates on size is never significant. And it appears that the exogenous variable which explains opening the stock market has positive effect on the determinants of ownership structure.

• Journal of Digital Convergence
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• v.11 no.4
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• pp.251-258
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• 2013

Recently companies are confronted with a much more sophisticated business environment than before and at the same time have to be able to adapt to rapid changes. Accordingly, the need for selecting among alternatives and managing systematic decision-making has been steadily increasing to respond to a more diverse customer needs and keep up with the fierce competition. In this study, we propose a framework that consist of problem solving procedures and techniques and knowledge structure built on processes to support strategic decision making. and discuss how to utilize simulation tools as the knowledge-based problem solving tools. In addition we discuss how to build and advance the knowledge structure to implement the proposed architecture. Management decision support systems architecture consist of three key factors. The first is Problem Solving Approach which is used as reference. The second is knowledge structure on business processes that includes standard and reference business processes. The third is simulators that are able to generate and analyze alternatives using problem solving techniques and knowledge base. In sum, the proposed framework of decision-making support systems facilitates knowledge-intensive consulting processes to promote the development and application of consulting knowledge and techniques and increase the efficiency of consulting firms and industry.