• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.10a
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• pp.139-148
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• 1999

오늘날 기술집약적인 벤처기업들에 대한 관심이 집중되고 있다. 소수의 진취적인 벤처기업들이 기술개발 및 신상품 개발 등 두드러진 활약을 보이고 있기 때문이다. 그러나 실제 이 벤처기업의 성공 가능성은 그렇게 높지 않다. 특히 벤처기업 환경이 아직 미약한 국내의 경우 위험부담이 훨씬 더 크다. 이러한 벤처기업 환경에서 투자대상 벤처기업을 선정하는 것은 매우 전략적인 의사결정이다. 일반적으로 일반 벤처투자가들은 관심이 있는 산업에 해당하는 기업의 사업계획서와 기초적인 관련 정보를 토대로 투자여부를 결정한다. 그렇지만 실제로는 이와 같은 분석에 필수적으로 요구되는 정보가 불확실할 뿐만 아니라 기술분야에 대한 전문적 지식도 부족하기 때문에 투자 여부를 결정하는 것은 매우 복잡하고 어려운 문제이다. 그러므로 투자대상 벤처기업의 선정을 효과적으로 지원해주는 체계적인 접근이 필요하다. 특히 벤처 사업과 관련된 기술 동향 및 수준 등에 관련된 전문 지식과 경험이 체계적으로 제공되어야 하고 또한 벤처 투자가의 개인적 경험과 판단이 평가 프로세스에 직접적으로 반영될 수 있어야 한다. 이에 본 연구에서는 전문가의 지식과 경험을 체계화하고 투자가의 개인적 판단을 효과적으로 수용할 수 있는 전문가시스템의 접근방법을 제시하고자 한다. 투자대상 벤처기업의 선정을 위한 전문가시스템을 구축하기 위해 본 연구에서는 다양한 정보수집 과정을 거쳤다. 우선 벤처 투자와 관련된 기존 문헌을 심층 분석하였으며 아울러 벤처 투자 업계에서 활약중인 전문 벤처캐피탈리스트들과의 수차례 인터뷰를 통해 벤처기업 평가의 주요 요인과 의사결정 과정을 파악할 수 있었다. 이러한 과정을 통하여 본 연구에서는 벤처 투자의 90%를 차지하는 정보통신분야에 속한 기법 중에서 투자대상 벤처기업의 선정을 위한 전문가시스템을 구축중이다.의 밀도를 비재무적 지표변수로 산정하여 로지스틱회귀 분석과 인공신경망 기법으로 검증하였다. 로지스틱회귀분석 결과에서는 재무적 지표변수 모형의 전체적 예측적중률이 87.50%인 반면에 재무/비재무적 지표모형은 90.18%로서 비재무적 지표변수 사용에 대한 개선의 효과가 나타났다. 표본기업들을 훈련과 시험용으로 구분하여 분석한 결과는 전체적으로 재무/비재무적 지표를 고려한 인공신경망기법의 예측적중률이 높은 것으로 나타났다. 즉, 로지스틱회귀 분석의 재무적 지표모형은 훈련, 시험용이 84.45%, 85.10%인 반면, 재무/비재무적 지표모형은 84.45%, 85.08%로서 거의 동일한 예측적중률을 가졌으나 인공신경망기법 분석에서는 재무적 지표모형이 92.23%, 85.10%인 반면, 재무/비재무적 지표모형에서는 91.12%, 88.06%로서 향상된 예측적중률을 나타내었다.ting LMS according to increasing the step-size parameter $\mu$ in the experimentally computed. learning curve. Also we find that convergence speed of proposed algorithm is increased by (B+1) time proportional to B which B is the number of recycled data buffer without complexity of computation. Adaptive transversal filter with proposed data recycling buffer algorithm could efficiently reject ISI of channel and in

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.4
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• pp.887-896
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• 2015

This study estimates future AADT using historical AADT and socio-economic factors in isolated area. Multiple linear regression method by socio-economic factors are lower MAPE and higher R-square than using historical AADT. Analysis of socio-economic factors influence AADT in isolated typical areas, varied socio-economic factors influence on AADT. In isolated coastal areas, oil price influence on AADT. AADT forecasting model in isolated area is excellent when analysising $R^2$ and MAPE. It is assume that estimation of AADT in isolated area using multiple linear regression is accurate because of a little passed traffic volume and traffic volume fluctuation.

• Ecology and Resilient Infrastructure
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• v.5 no.4
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• pp.276-284
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• 2018

In order to analyze sediment transport characteristics of knickpoint migration, sediment transport length, and sediment transport weight through the under-flow type vertical lift gate, the hydraulic model experiment and dimensional analysis were performed. The correlations between Froude number and sediment transport characteristics were schematized. The multiple regression formulae for sediment transport characteristics with non-dimensional parameters were suggested. The determination coefficients of multiple regression equations appeared high as 0.618 for knickpoint migration, 0.632 for sediment transport length, and 0.866 for sediment transport weight. In order to evaluate the applicability of the developed hydraulic characteristic equations, 95% prediction interval analysis was conducted on the measured and the calculated by multiple regression equations, and it was determined that NSE (Nash-Sutcliffe Efficiency), RMSE (root mean square), and MAPE (mean absolute percentage error) are appropriate, for the accuracy analysis related to the prediction on sediment transport characteristics of kickpoint migration, sediment transport length and weight.

• Environmental and Resource Economics Review
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• v.33 no.1
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• pp.59-86
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• 2024

Recently, research on city gas demand is increasing by reflecting the characteristics of each region. The similarity of the social structure of the adjacent region and the density of the supply infrastructure induce spatial correlation with the clustering that has a microscopic relationship between regions. Accordingly, as a result of analyzing the spatial correlation after dividing the demand for city gas for civilian use into a total of 54 regions based on the jurisdiction of 34 city gas companies, it was confirmed that there was a positive spatial correlation from a global and local perspective. In this study, the demand for city gas for civilian use for 54 regions from January 2014 to December 2022 was composed of panel data, and the spatial panel regression analysis and the general panel regression analysis were compared, and it was found that the spatial error model (SEM) was the most suitable model. This presents policy and practical implications by confirming that the demand for city gas for civilian use in one region has a significant relationship with the adjacent region.

• The Korean Journal of Applied Statistics
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• v.27 no.6
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• pp.991-1002
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• 2014

Both Bayesian and maximum likelihood methods are efficient for the estimation of regression coefficients of various Tobit regression models (see. e.g. Chib, 1992; Greene, 1990; Lee and Choi, 2013); however, some researchers recognized that the maximum likelihood method tends to underestimate the disturbance variance, which has implications for the estimation of marginal effects and the asymptotic standard error of estimates. The underestimation of the maximum likelihood estimate in a seemingly unrelated Tobit regression model is examined. A Bayesian method based on an objective noninformative prior is shown to provide proper estimates of the disturbance variance as well as other regression parameters

• Journal of the Economic Geographical Society of Korea
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• v.24 no.4
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• pp.425-445
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• 2021

The purpose of this study is to present policy implications for future urban regeneration projects by deriving factors that affect residents' life satisfaction by region. To this end, a survey was conducted and multiple regression analysis was conducted using the Changsin/Sungin-dong, Haebangchon, and Garibong-dong regions where the general type of neighborhood regeneration project of Seoul was conducted. As a result of the analysis, it was found that life satisfaction increased when autonomy among the local governance factors in Changsin/Sungin-dong and autonomy and network in Garibong-dong increased. When examining the factors of regional regeneration capacity for each region, in terms of local identity, landscape characteristics in all three regions had a significant effect on the life satisfaction of residents. In the case of local communities, it was found that the satisfaction with life of residents increased when individual competence in Changsin/Sungin-dong and participation capacity and relationship competence in Garibong-dong increased. In terms of local assets, natural and social assets in all three regions had a significant effect on the life satisfaction of residents. Therefore, it is judged that the relationship between the influence of residents' life satisfaction in the general type of neighborhood regeneration project for neighborhood regeneration will be a meaningful data in promoting the urban regeneration project.

• Journal of Korea Water Resources Association
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• v.55 no.4
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• pp.257-266
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• 2022

Inundation damage is increasing every year due to localized heavy rain and an increase of rainfall exceeding the design frequency. Accordingly, the importance of hydraulic structures for flood control and defense is also increasing. The hydraulic structures are designed according to its purpose and performance, and the amount of flood is an important calculation factor. However, in Korea, design rainfall is used as input data for hydrological analysis for the design of hydraulic structures due to the lack of sufficient data and the lack of reliability of observation data. Accurate probability rainfall and its temporal distribution are important factors to estimate the design rainfall. In practice, the regression equation of temporal distribution for the design rainfall is calculated using the cumulative rainfall percentage of Huff's quartile method. In addition, the 6^th order polynomial regression equation which shows high overall accuracy, is uniformly used. In this study, the optimized regression equation of temporal distribution is derived using the variable selection method according to the principle of parsimony in statistical modeling. The derived regression equation of temporal distribution is verified through the significance test. As a result of this study, it is most appropriate to derive the regression equation of temporal distribution using the stepwise selection method, which has the advantages of both forward selection and backward elimination.

• Journal of Gifted/Talented Education
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• v.26 no.4
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• pp.565-585
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• 2016

This study purpose was to explore whether career maturity and parents-children relationship related factors were differentiated by giftedness, gender and secondary school level (research question 1). In addition, this study focused on the effects of parents-children relationship related factors on career maturity with a comparison on gifted and regular students (research question 2). The sample included 213 gifted middle school and high school students who participated in the Korean gifted education center and 243 regular students. Multivariate analysis of variance was conducted for research question 1, and hierarchical regression analysis was conducted for research question 2. The results of this study showed that (1) gifted students showed a higher level of career maturity, achievement expectation (parents-children relationship), respect (parents-children relationship), discussion and leisure (activity with parents), sharing ordinary life and communication (activity with parents), career support of parents compared to regular students ; (2) Girls showed higher level only in sharing ordinary life and communication compared to boys ; (3) middle school students more highly perceived the parents' achievement expectation and control, respect for parents, activities with parents (discussion and leisure, sharing ordinary life and communication) compared to high school students ; (4) the career support of parents was the strongest predictor of career maturity, and discussion and leisure was also a significant factor predictor of career maturity. Based on these results, it was suggested for parents to support their children's career maturity of both gifted and regular students by increasing frequencies of various activities shared with their children such as discussion and leasure.

• Journal of the Korea Institute of Building Construction
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• v.18 no.5
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• pp.455-461
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• 2018

The purpose of this study is to evaluate the tensile strength performance of the polyurethane coating material used as the waterproofing material in concrete structures. A linear regression equation is proposed to establish a correlation on the tensile strength of polyurethane coating membrane against periodic exposure to chemical degradation. The polyurethane film membrane showed a minimum strength of 23% to a maximum of 38% when subjected to chemical degradation. The elongation rate showed a relation with the tensile strength deterioration rate of at least 15% to 22% at maximum, and the proposed regression equation could be used to predict the degree of performance change of the polyurethane coating membrane under chemical degradation condition.

• The Journal of the Korea Contents Association
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• v.16 no.7
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• pp.207-220
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• 2016

Paradigm for supporting housing for low-middle income class has been changing from public rental housing to Housing Voucher. Housing Voucher started first in Seoul since 2010, and it has been expended to other areas in 2014. Given the dearth of previous research data, this study aims to analyze options determinants that the beneficiaries could consider in choosing their residential area. In this study, the researcher used for the research methods, a quantitative analysis by Geographically Weighted Regression (GWR) and Ordinary Least Square (OLS) has been conducted. As a result, the accessibility to social welfare centers, public transportation and job opportunities emerged main factors to for the Housing Voucher recipients in Seoul to choose their residential area. This is different results from previous research, which has two implications. First, reexamination of Housing Voucher is necessary. Second, Housing Voucher beneficiaries should include not only the housing but also support for family and welfare system access.