• 품질경영학회지
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• 제38권1호
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• pp.1-9
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• 2010

Service Oriented Architecture(SOA) is an enterprise-scale IT architecture for linking software resources available on the network. SOA is believed to become the future enterprise solution that promises the agility and flexibility by integrating business processes through composition of the software services across enterprises. The first step for SOA construction is to identify the services. In this paper, we present a process-based service identification methodology for SOA through a case study of an IT company. Our methodology is composed of three steps: Processes (business & technical processes) analysis and systems analysis, Service candidates selection, and Service evaluation and construction planning. This framework would be practical and could be accepted to other organizations as it has been developed through the real case.

• 한국전자거래학회:학술대회논문집
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• 한국전자거래학회 2001년도 International Conference CALS/EC KOREA
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• pp.467-475
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• 2001

As a result of the policy for enforcing the information technology led by government and the effort of companies to get over economic crisis through the reformation of business process, the ERP market is being active. However, because imported ERP products that are supplied currently are designed for standard and rationality, they have a limit to support custom processes of domestic companies in South Korea. On the contrary, ERP products by domestic companies in South Korea are unable to support a consistent methodology of constructing ERP system. This is main reason why much time and costs are consumed than that of an original plan. To succeed in ERP construction, the purpose of ERP setup must be defined. To accomplish this end, it is required to analysis business process completely and to make a plan in detail. For ERP providers, they must support a characterized ERP construction methodology and lower the construction cost by improving an ERP package easy to customize[5].

• 한국건설관리학회논문집
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• 제5권5호
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• pp.93-100
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• 2004

For accurate construction contract time estimation, few parameters are more significant than crew production rates and factors affecting the rates. However, statistical analysis techniques for finding such factors are not always simple mainly because there are many factors and the interaction between factors is not well quantitatively understood. This paper presents methodology of identifying factors driving crew production rates. The methodology is further demonstrated with representative data collected by the author from 13 on-going highway constructions. Three factors were identified as statistically significant drivers of Cap crew production rate: 'Cap Size (m3/ea)'; 'Cap Length (m)'; and 'Cap Shape (Rectangle vs. Inverted 'T')'. It was also found that the production rates are best explained by a multiple regression model with two of the drivers; 'Cap Size' and 'Cap Shape'.

• 한국건설관리학회논문집
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• 제10권6호
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• pp.117-126
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• 2009

건설 산업에 내재된 위험은 작업환경, 작업의 종류, 작업자의 특성 등이 결합되어 발생한다. 건설 현장의 가변적이며 유동적인 특성을 고려한다면 동일 공종이라도 내재된 특성들의 조합에 따라 위험의 크기가 다르게 나타날 수 있다. 하지만 기존의 안전 관리 방식은 이러한 건설업의 특성을 반영하지 못한 체 타산업과 유사한 안전 관리를 수행하고 있다. 이에 본 연구는 건설현장의 다양한 위험 요소를 고려한 위험도 산정 방법을 제시하기 위해 선행연구 분석 및 설문을 통해 위험 영향 요소를 도출하고 가중치 체계를 구축하였다. 그리고 빈도와 강도 기반의 공종별 위험도를 구하였다. 위험 영향 요소와 공종별 위험도를 결합하여 건설 현장의 상황에 맞는 위험도 산정 방법을 마련하였다. 이로써 건설 현장의 특성을 고려한 위험도를 구할 수 있으며, 위험도를 바탕으로 보다 효과적인 안전관리활동을 펼칠 수 있을 것이다. 따라서 본 연구는 위험 영향 요소들을 고려하여 현장 특성을 반영한 위험도를 산정하였다는데 그 의미가 있다.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2019년도 추계 학술논문 발표대회
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• pp.38-39
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• 2019

Environmental problems caused by GHG emitted by various industries are emerging around the world, and accordingly, relevant regulations are being applied by countries around the world. Korea is operating a carbon credit system that trades GHG in industry for money, which is expected to be applied to the construction industry. In addition, construction equipment using fossil fuels accounts for the largest portion of $CO_2$ emissions in the construction industry, and the importance of $CO_2$ reduction and prediction is increasing. However, there is a lack of data on the directly measured $CO_2$ emissions of construction equipment and there is no accurate methodology for measuring methods. Therefore, in this study, independent variables were derived based on the $CO_2$ emission data. In addition, multiple linear regression is performed for each independent variable to derive a predictive model of carbon dioxide emission by work type of construction equipment. It is expected that the construction process plan based on environmental factors in the construction industry can be established in the future.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2016년도 춘계 학술논문 발표대회
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• pp.87-88
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• 2016

In order to assess the design value of engineering work from the point of view of LCC (Life Cycle Cost) in Korea, it is mandatory for all construction works that the total construction costs are over 10 billion won. The LCC includes initial construction costs, maintenance & operation costs, energy costs, end-of-life costs, and so on. Among these, the portion for maintenance & operation costs for a building is sizeable, as compared to the initial construction costs. Furthermore, the paradigm for construction industry has rapidly shifted from 2D to BIM, which includes design planning and data management. However, the study of BIM-based LCC analysis is not adequate today, even though all domestic construction projects ordered by the Public Procurement Service have to adopt BIM. Therefore, this study suggests a methodology of BIM-based LCC analysis that is particularly focused on repair and replacement (R&R) cost. For this purpose, we defined requirements of calculating R&R cost and extracted X from the relevant IFC data. Thereafter, we input them to the ontology of calculating the initial construction costs to obtain an objective output. Finally, in order to automatically calculate R&R cost, mapping with R&R criteria was performed. We expect that our methodology will contribute to more efficiently calculate R&R cost and, furthermore, that this methodology will be applicable to all range of total LCC. Thus, the proposed process of automatic BIM-based LCC analysis will contribute to making LCC analysis more fast and accurate than it is at present.

• 한국게임학회 논문지
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• 제2권1호
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• pp.49-54
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• 2002

In this paper we propose the methodology for 3D background image construction in computer games. This methodology was developed based on TIP (Tour Into the Picture) using a vanishing line Proposed by Kang et at. The methodology Proposed in this study can simply implement a 3D background for a computer game with a background model which is very complex or based on a real picture. Compared to the graphics technologies generally used, the proposed methodology does not need the process of modeling elaborate 3D information of a background, and hence can display the background even on a low grade personal computer using a small reference image. TIP technology was successfully applied to the implementation of a background model for a computer game and was found to be appropriate especially for real time games.

• 한국정보과학회논문지:소프트웨어및응용
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• 제29권3호
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• pp.133-144
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• 2002

본 논문은 절차지향 소프트웨어를 객체지향 소프트웨어로 재공학하는 과정에서 객체들의 안전한 지속성에 대한 결정 방법을 제안한다. 본 논문에서는 지속성 결정을 위해 다섯 단계의 과정을 제시한다: 정적 정보, 투영, 반영, 인스턴스, 정제 단계. 각 단계를 통해 객체의 정확한 생성과 소멸 시점을 추출하고, 정제 과정을 거침으로써 객체의 메시지 전달과 생성/소멸 과정에서 안전성과 일관성을 유지할 수 있도록 한다.

• 한국컴퓨터정보학회논문지
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• 제23권3호
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• pp.49-54
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• 2018

A data warehouse is a system that collectively manages and integrates data of a company. And provides the basis for decision making for management strategy. Nowadays, analysis data volumes are reaching critical size challenging traditional data ware housing approaches. Current implemented solutions are mainly based on relational database that are no longer adapted to these data volume. NoSQL solutions allow us to consider new approaches for data warehousing, especially from the multidimensional data management point of view. In this paper, we extend the data warehouse design methodology based on relational database using star schema, and have developed a consistent design methodology from information requirement analysis to data warehouse construction for large scale data warehouse construction based on MongoDB, one of NoSQL.

• 국제학술발표논문집
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• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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• pp.597-602
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• 2011

A robust asset management methodology is essential for effective decision-making of maintenance, repair and rehabilitation of a bridge network. It can be achieved by a computer-based bridge management system (BMS). Successful BMS development requires a reliable bridge deterioration model, which is the most crucial component in a BMS, and an optimal management philosophy. The maintenance optimization methodology proposed in this paper is developed for a small bridge network with limited structural condition rating records. . The methodology is organized in three major components: (1) bridge health index (BHI); (2) maintenance and budget optimization; and (3) reliable Artificial Intelligence (AI) based bridge deterioration model. The outcomes of the paper will help to identify BMS implementation problems and to provide appropriate solutions for managing small bridge networks.