• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.627-628
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• 2015

Construction defect which can causes economic damage such as schedule delay, cost overrun is a considerably important factor in construction industry. In general, a construction defect features a difficulty to find out causes precisely because it occurs when several interrelated causes combine. Yet, studies have tried to understand the interrelationships between factors are limited. In addition, despite of a tremendous amount of construction data, it's not still enough to analyze them, but tends to depend on experience or know-how of practitioners. Thus, it is necessary to identify underlying causes in influential factors by utilizing related data. This paper analyses Interrelationships between causal factors using Association Rule Mining to discover root causes of construction defects. Confidence and Lift that can be used for presenting the interrelationships of the causes were extracted from 1241 cases in 30 projects in Korea. It is expected that this paper allows the construction managers to discover key factors and make right decisions to reduce occurrence of construction defects. Furthermore, analysis of interrelationships can improve understanding of structural patterns of construction defects.

• 한국사회복지학
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• 제32권
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• pp.235-266
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• 1997

• 대한치과의사협회지
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• 제25권6호통권217호
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• pp.516-517
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• 1987

• 대한치과의사협회지
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• 제25권5호통권216호
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• pp.402-403
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• 1987

• Asia pacific journal of information systems
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• 제20권2호
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• pp.1-21
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• 2010

e-Government is an innovative phenomenon around the globe for refurbishing public administration. Research to date, however, has been deficient in empirical studies of the factors that emerge out of the interplay of structure and human interactions responsible for successful implementation of e-Government projects. From the perspective of structuration theory, this study examines and explains the impact of this interplay in the implementation of an e-Government system, eSeva for local administration at one of the Indian state, The results suggest that the success of implementation of e-Government projects can be conceptualized as the outcome of persisting constructive interrelationships among the human, programmatic and institutional elements of e-Government and the critical learning and adaptation as a result of efforts at the structuration level.

• Korea-Australia Rheology Journal
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• 제18권1호
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• pp.31-38
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• 2006

A systematic approach is employed to elucidate the interrelationships among macroeconomic entities such as science, engineering, technology, industry and national economy. Specifically, a conceptual, sequential method has been developed to clearly identify the essential ingredients needed for each macroeconomic entity starting from science to transform to the next one, and all the way to the national economy where the production of added-value is of overriding importance. The results thus obtained can then be utilized for macroeconomists to readily apply the engineering theory and knowledge to various macroeconomics situations, while engineers can likewise utilize the results on top of the microeconomic knowledge already prevalent in many engineering fields in getting better grasp of the seemingly difficult nation's macroeconomic picture. Other peripheral concepts and issues such as the evolutionary development of industry, the perspectives of the $21^{st}$ century civilization, an analogy between macroeconomics and chemical engineering, and national policies for each macroeconomic entity are also presented in this study.

• 한국안전학회지
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• 제17권4호
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• pp.126-132
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• 2002

By using the reference data, the empirical equations which describe the interrelationships of explosion properties and physical properties of n-chlorinated hydrocarbons have been derived. The properties which have been correlated are the lower and upper explosive limits, the stoichiometric coefficients, the heats of combustion, the carbon numbers. Also, the new equations using the mathematical and statistical methods for predicting the temperature dependence of lower explosive limits(LEL) of chlorinated hydrocarbons on the basis of the literature data are proposed. The fire and explosion properties calculated by the proposed equations in this research were a good agrement with literature data within a few A.A.P.E.(Average Absolute Percent Error) and A.A.D.(Average Absolute Deviation.) From a given explosive properties, by using the proposed equations, it is possible to predict to the fire and explosion characteristics for the other chlorinated hydrocarbons.

• 아태비즈니스연구
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• 제13권1호
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• pp.317-333
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• 2022

Purpose - The purpose of this study is to investigate the interrelationships between visitor motivations, attitude, and behavioral intention toward the Harbin International Ice and Snow Festival, China. It is also to test moderating roles of gender and past travel experience between these factors. Design/methodology/approach - Data was collected from potential Chinese visitors, after which 420 usable surveys were processed. Findings - To investigate our hypotheses, we used descriptive, confirmatory factor analysis, and structural equation modeling. We found that aesthetic attractiveness, purchase of local products, and involvement had positive effects on attitude toward the festival. Attitude toward the festival had a significant effect on behavioral intention to visit. Finally, it was also found that gender and past travel experience significantly moderated the interrelationships between these factors. Research implications or Originality - Theoretical and managerial implications, as well as, suggestions for future research are discussed.

• 한국경제지리학회지
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• 제16권1호
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• pp.1-16
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• 2013

본 연구는 우리나라 패션산업의 집중이 강하게 나타나고 있는 수도권 지역을 대상으로 패션산업의 공간분포를 파악하고, 그 특성을 분석한다. 특히, 우리나라 패션산업을 기존의 노동집약적인 저수익의 봉제의류산업에서 디자인을 통한 고부가가치 창출이 가능한 지식기반산업으로 전환시키고자 하는 상황에서 우리나라 패션산업이 집중되어 있는 서울의 패션제조업 분포에 지식기반산업들이 보이는 특성이 나타나는가에 초점을 두고 분석하였다. 이를 위하여 공간적 자기상관 분석을 이용하여 직능별 패션산업의 공간적 군집여부를 탐색하고, 그 분포양상을 바탕으로 수도권 패션산업의 클러스터를 구분 짓고 그 특성을 파악하였다. 또한 직능 간 연계성을 파악하기 위하여 이항 로지스틱 회귀분석을 통해 직능별 패션산업의 공간적 군집 형성에 영향을 주는 타 직능 변수와의 관계식을 도출하였다.

• 한국정보통신학회논문지
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• 제26권5호
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• pp.755-762
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• 2022

본 논문에서는 학습 예측이 가능한 군집적 알고리즘으로 COVID-19에서 상황인식정보인 질병의 속성정보와 클러스터링를 이용한 군집적 알고리즘을 제안한다. 클러스터링 내에서 처리되는 군집 데이터는 신규 또는 새롭게 입력되는 정보가 상호관계를 예측하기 위해 분류 제공되는데, 이때 새롭게 입력되는 정보가 비교정보에서 오염된 정보로 처리되면 기존 분류된 군집으로부터 벗어나게 되어 군집성을 저하시키는 요인으로 작용하게 된다. 본 논문에서는 COVID-19에서의 질병속성 정보내 K-means알고리즘을 이용함에 있어 이러한 문제를 해결하기 위해 질병 상호관계 정보 추출이 가능한 사용자 군집 분석 방식을 제안하고자 한다. 제안하는 알고리즘은 자율적인 사용자 군집 특징의 상호관계를 분석학습하고 이를 통하여 사용자 질병속성간에 따른 클러스터를 구성해 사용자의 누적 정보로부터 클러스터의 중심점을 제공하게 된다. 논문에서 제안된 COVID-19의 다중질병 속성정보군집단위로 분류하고 학습하는 알고리즘은 적용한 모의실험 결과를 통해 사용자 관리 시스템의 예측정확도가 학습과정에서 향상됨을 보여주었다.