• Journal of the Korean Society for information Management
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• v.35 no.2
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• pp.37-62
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• 2018

This study examined the factors affecting the performance of automatic classification based on machine learning for domestic journal articles in the field of LIS. In particular, In view of the classification performance that assigning automatically the class labels to the articles in "Journal of the Korean Society for Information Management", I investigated the characteristics of the key factors(weighting schemes, training set size, classification algorithms, label assigning methods) through the diversified experiments. Consequently, It is effective to apply each element appropriately according to the classification environment and the characteristics of the document set, and a fairly good performance can be obtained by using a simpler model. In addition, the classification of domestic journals can be considered as a multi-label classification that assigns more than one category to a specific article. Therefore, I proposed an optimal classification model using simple and fast classification algorithm and small learning set considering this environment.

• The Korean Journal of Applied Statistics
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• v.27 no.7
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• pp.1077-1095
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• 2014

Unlike randomized trial, statistical strategies for inferring the unbiased causal relationship are required in the observational studies. Recently, new methods for the causal inference in the observational studies have been proposed such as the matching with the propensity score or the inverse probability treatment weighting. They have focused on how to control the confounders and how to evaluate the effect of the treatment on the result variable. However, these conventional methods are valid only when the treatment variable is categorical and both of the treatment and the result variables are directly observable. Research on the causal inference can be challenging in part because it may not be possible to directly observe the treatment and/or the result variable. To address this difficulty, we propose a method for estimating the average causal effect when both of the treatment and the result variables are latent. The latent class analysis has been applied to calculate the propensity score for the latent treatment variable in order to estimate the causal effect on the latent result variable. In this work, we investigate the causal effect of adolescents delinquency on their substance use using data from the 'National Longitudinal Study of Adolescent Health'.

• Journal of the Korean Society for Railway
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• v.18 no.6
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• pp.558-566
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• 2015

In this study, quantitative environmental impact assessments of the VSL anchor and RB(Reaming and Bearing) anchor systems were conducted after a life-cycle assessment (LCA). In addition, improvements which reduce the adverse environmental effects of the RB anchor system were confirmed through comparisons with results with a VSL anchor system. Both results showed that water ecotoxicity and global warming are the most important in environmental influences. To determine the effect of reducing the RB anchor system environment, the result was normalized for the environmental impact category. Most items appeared to have been improved with regard to the RB anchor system. The most significant improvement was a 77% decrease in POC levels(photochemical oxidant creation). Greenhouse gas emissions, related to global warming, were decreased by 44%. It is expected that these quantitative environmental impact assessment results will serve as the basis of an anchor system for civil engineering and environmental impact assessments.

• Clean Technology
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• v.15 no.3
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• pp.224-230
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• 2009

Life Cycle Assessment (LCA) has been studied on the reuse of glass bottles. The system boundary in this study encompassed from gate to gate such as production and transportation. A 360 mL volume of a glass bottle was selected as the functional unit. The environmental impact assessments was studied on 6 categories including abiotic resource depletion, acidification, eutrophication, global warming, ozone depletion, and photochemical oxidant creation. The results showed that the most significant impact categories were abiotic resource depletion (48.63%) and global warming (46.27%), and the rest categories revealed insignificant impacts. In the whole system, the chemicals used for the new bottle production revealed the major contribution to the environmental impacts (71.24%), followed by the use of electricity (16.74%) and transportation (11.8%). In addition, the environmental impact of sodium silicate to be put into the stage of the new bottle production was found to be 45.68%, causing severe influence on abiotic resource depletion and global warming.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.6
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• pp.851-857
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• 2018

In this research, LCA analysis of the manufacturing process of pot bearing for fixed, movable in all directions, movable in one direction was carried out to analyze the environmental load using the LCA methodology. Especially, the water footprint that has been and issue in recent years was analyzed. As a result of LCA, it was analyzed that the contribution of the plate was more than 64.2% in all of the six impact categories in the case of fixed pot bearing base, and more than 94% in the category of resource depletion and photochemical oxidant creation. In the case of all direction pot bearing and one direction pot bearing, the contribution of PTFE was the highest in the global warming and stratospheric ozone depletion, and the contribution by the plate was higher in the other impact categories. The water footprint of each type of pot bearing was analyzed as $22.4m^3\;H_2O\;eq/kg$ for one direction pot bearing, $17.1m^3\;H_2O\;eq/kg$ for fixed pot bearing, and $14.1m^3\;H_2O\;eq/kg$ for all direction pot bearing. As a result of life cycle analysis, the contribution of water use in manufacturing was more than 65% in all three types. The results of this study can be used as basic data for decision making in construction method and material selection of bridges in the future.

• Asia Marketing Journal
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• v.2 no.3
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• pp.44-63
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• 2000

경영관리의 초점이 생산중심에서 마케팅중심 그리고 서비스중심으로 급격히 변화하면서 서비스 경쟁이 중요한 생존무기가 되고 있다. 차별화의 수단으로 서비스의 중요성이 강조되면서 여러 가지 서비스 속성 중에서 서비스 품질에 관한 연구가 활발히 진행되어 왔다. 그러나 서비스 품질을 구성하는 차원을 밝히려는 연구는 많았던데 비해 서비스 품질이 소비자의 태도와 재이용 의도에 어떠한 영향을 미치는가에 관한 연구는 거의 이루어지지 않았다. 본 연구에서는 지각된 서비스 품질을 구성하는 여러 차원들이 소비자의 태도에 어떠한 영향을 주며, 태도는 소비자의 재이용 의도에 어떠한 영향을 주는가를 알아보았다. 자료는 소매점 이용자를 대상으로 수집되었으며 소매점 서비스에 관한 인과관계 모형을 통하여 분석되었다. 연구 결과 기능적 품질에 속하는 신뢰성 차원과 기술적 품질에 속하는 유형설비 차원이 소비자의 태도에 긍정적인 영향을 미치는 것으로 나타났다. 기술적 품질로 볼 수 있는 가격(비용) 차원은 예상대로 부정적인 영향을 주는 것으로 나타났다. 반면에 기능적 품질에 속하는 감정배려는 통계적으로 유의적인 영향을 미치지 못하는 것으로 나타났다. 한편 서비스 품질을 통해 형성된 소비자 태도는 소매점 재이용 의도에 긍정적인 영향을 미치는 것으로 나타났다. 본 연구는 추가적으로 소매점을 특성에 따라 몇 개의 범주로 분류하고 인과관계 모형의 영향 관계가 어떻게 달라지는가를 분석하였다. 분석결과 대형 할인소매점, 백화점, 주거지역 인근의 소매점들에서 상당한 차이를 발견하였다. 즉, 태도와 재이용 의도 사이의 긍정적인 영향관계는 소매점 유형에 관계없이 나타났으나 태도에 영향을 주는 서비스 품질 차원은 매우 다르게 나타났다. 이는 차별화 지표로 서비스 품질을 사용할 경우에 서비스 관리자들이 어떠한 전략을 선택해야 하는가에 관하여 시사하는 바가 크다. 아울러 동일범주의 서비스 산업이더라도, 서비스의 특성에 따라 서비스 품질을 구성하는 중요한 차원을 규명하기 위한 추가 연구의 필요성을 제기한다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.4
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• pp.681-691
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• 2017

In this research, life cycle inventory database (LCI DB) was developed for elastomeric bearing employing life cycle assessment (LCA) methodology additionally the reliability improvement rate in the evaluation of the environmental load of the bridge was analyzed. As are result of impact assessment by 6 major impact categories, production of elastomeric bearing puts on environmental impact in the order of resource depletion, global warming, photochemical oxidant creation. and among a wide variety of input, steel plates contributes in most of the impact categories. As a result of applying the elastomeric bearing LCI database constructed in this study, the environmental loads increased by 0.53% on average, and the cut-off based on the cost of input materials increased by 11.36%. It is anticipated that it will be possible to improve the credibility and to provide data based on current production technology, such as estimating GHG emissions and evaluating environmental load, by constructing elastomeric bearing LCI DB.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.479-479
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• 2017

본 연구는 벤처기업의 매출액의 영향요인에 대하여 기업 내 자원을 범주화하여 그 영향력을 검증하고, 나아가 기업이 보유한 역량을 2개의 차원으로 구분하여 각 차원에 따른 집단 간 벤처기업성과 영향요인의 차이를 확인하고자 하였다. 즉, 기업이 보유하는 역량인 기술, 가격, 품질, 디자인, 조직관리, 마케팅 경쟁력에 대하여 요인분석을 통해 기술역량과 경영역량 차원을 도출하였고, 군집화 과정을 거쳐 각 역량 수준에 따른 네 개의 벤처기업 집단을 분류하였다. 네 개의 집단은 기술-경영 우위, 기술주도, 경영주도, 기술-경영 열위로 나뉘었다. 이후 성과 영향요인들을 자원기반이론의 관점에서 기업현황, 기업가자원, 인적자원, 재무자원, 기술자원, 외부자원의 여섯 개의 상위 범주로 구분하였고, 각 범주에 포함되는 세부 요인들이 매출액에 미치는 영향을 '벤처기업정밀실태조사'의 2개년 데이터를 활용하여 분석하였다. 분석 결과 첫 번째, 전체 벤처기업을 대상으로 분석한 결과 모형에 투입된 33개의 변수들 중 22개의 변수가 벤처기업 매출액에 유의한 영향을 미치는 것이 확인되었다. 두 번째, 기업 역량 차원 분류에 따른 기업 집단 간 영향요인 차이를 분석한 결과, 매출액 영향요인은 입력된 33개의 독립변수 중 최대 13개에서 최소 8개로, 기업 역량 차원에 따른 매출액 영향요인의 차이가 확인되었다.

• Korean Journal of Cognitive Science
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• v.28 no.4
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• pp.329-347
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• 2017

Early research into category-based feature inference reported various phenomena in human thinking including typicality, diversity, similarity effects, etc. Later research discovered that participants' prior knowledge has an extensive influence on these sorts of reasoning. The current research tested the effects of causal knowledge on feature inference and conducted modeling on the results. Participants performed feature inference for categories consisted of four features where the features were connected either in common cause or common effect structure. The results showed typicality effects along with violations of causal Markov condition in common cause structure and causal discounting in common effect structure. To model the results, it was assumed that participants perform feature inference based on the difference between the probabilities of an exemplar with the target feature and an exemplar without the target feature (that is, $p(E_{F(X)}{\mid}Cat)-p(E_{F({\sim}X)}{\mid}Cat)$). Exemplar probabilities were computed based on causal model theory (Rehder, 2003) and applied to inference for target features. The results showed that the model predicts not only typicality effects but also violations of causal Markov condition and causal discounting observed in participants' data.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 1997.11a
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• pp.331-336
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• 1997

본 연구에서 산업재해 사례를 연구 대상으로 재해 발생의 여러 가지 요인들의 관련을 검토하고자 통계적 기법을 이용한 재해요인별 상관분석, 또는 영향의 정도 파악, 재해 요인의 통제에 따른 기타 재해요인에 대한 영향 분석을 시도하는 통계학적 분석 방법을 이용한 재해 발생의 중요요인을 분석하고자 첫째, 산업재해 통계 자료의 내용을 분석하여 재해 관련 변수들을 파악하는데 불안전 행동 및 불안전상태에 의한 재해 형태와 기타 변수들 간의 정성적 상관분석을 통한 상관계수를 고찰, 둘째, 명목척도인 범주형 변수 상호 간의 관련 여부를 파악하기 위해 카이제곱(chi-square)검정을 행하여 입원 일수를 종속 변수로 하는 기타 변수들의 독립성 여부와 변수 상호간 연관이 있다고 판단될 때 각 변수의 연관의 정도 비교, 셋째, 어떤 변수 상호간 일정한 관계를 가질 때 변수의 범주별로 반응변수(종속변수)에 미치는 영향을 회귀식 형태로 파악하고 비교하기 위하여 로짓(logit)모형을 적용하였다. (중략)