• 디지털융복합연구
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• 제11권10호
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• pp.47-57
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• 2013

빅데이터 분석은 데이터의 양, 처리속도, 다양성 측면에서 데이터 마이닝과 달리 문제해결과 의사결정을 위해서는 새로운 도구를 필요로 한다. 많은 글로벌 IT기업들은 사용하기 쉽고 기능성이 우수한 모델링 능력을 가진 다양한 빅데이터 제품을 출시하고 있다. 빅데이터 패키지는 분석도구, 인프라, 플랫폼 형태로 하드웨어와 소프트웨어를 포함한 솔루션이다. 빅데이터의 수집, 저장, 분석, 시각화가 가능한 제품이다. 빅데이터 패키지는 업체별로 제품 종류가 많고 복잡한 기능을 가질 뿐만 아니라 선정에 있어서 전문 지식을 필요로 하며 일반적인 소프트웨어 패키지보다 그 중요성이 높기 때문에 의사결정 방법의 개발이 요구된다. 본 연구는 빅데이터 패키지 도입을 위한 의사결정지원방법을 제안하는 것이 목표이다. 문헌적 고찰을 통하여 빅데이터 패키지의 특징과 기능을 비교하고, 선정기준을 제안한다. 패키지 도입 타당성을 평가하기 위하여 비용과 혜택 각각을 목표노드로 하는 AHP 모델 및 선정기준을 목표노드로 하는 AHP 모델을 제안하고 이들을 결합하여 최적의 패키지를 선정하는 과정을 보인다.

• Nuclear Engineering and Technology
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• 제49권1호
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• pp.148-164
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• 2017

The focus on the issues surrounding spent nuclear fuel and lifetime extension of old nuclear power plants continues to grow nowadays. A transparent decision-making process to identify the best suitable nuclear fuel cycle (NFC) is considered to be the key task in the current situation. Through this study, an attempt is made to develop an equilibrium model for the NFC to calculate the material flows based on 1 TWh of electricity production, and to perform integrated multicriteria decision-making method analyses via the analytic hierarchy process technique for order of preference by similarity to ideal solution, preference ranking organization method for enrichment evaluation, and multiattribute utility theory methods. This comparative study is aimed at screening and ranking the three selected NFC options against five aspects: sustainability, environmental friendliness, economics, proliferation resistance, and technical feasibility. The selected fuel cycle options include pressurized water reactor (PWR) once-through cycle, PWR mixed oxide cycle, or pyroprocessing sodium-cooled fast reactor cycle. A sensitivity analysis was performed to prove the robustness of the results and explore the influence of criteria on the obtained ranking. As a result of the comparative analysis, the pyroprocessing sodium-cooled fast reactor cycle is determined to be the most competitive option among the NFC scenarios.

• 한국건설관리학회논문집
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• 제6권5호
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• pp.89-101
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• 2005

건축공사의 프로젝트 초기단계에 있어서 관련조직 간의 정보전달은 프로젝트의 수행방법을 결정하는데 중요한 영향을 미친다. 그러나 실제로는 체계적인 분석방법 보다는 현장관리자의 경험에 의존하여 중요한 의사결정이 수행되어 왔다. 예를 들면, 건축공사 프로젝트에서 공법선택은 설계자의 경험에 의존한 의사결정으로 진행되어 왔다. 이로 인해 시공단계에서 불필요한 공법변경사례가 발생하여 공기지 연 및 공사비 상승을 초래하였다. 주된 원인은 건축공사 프로젝트의 특성을 반영한 합리적인 의사결정 프로세스에 관한 검토가 체계적으로 이루어지지 않았기 때문이다. 따라서 합리적으로 공법을 선택할 수 있는 지원도구뿐만 아니라 생산설계가 필요하다. 본 연구는 프로젝트 초기단계에서 다양한 영향요인과 연계하여 체계적인 생산설계과정과 의사결정모델을 제안하는 것을 목적으로 하였다. 이러한 관점에서 연구의 목적을 달성하기 위해 다음과 같은 수순으로 연구를 진행하였다. 1)생산설계에 관한 선행이론을 분석하였으며, 2)구체공사에 있어서 프로젝트 제약조건의 분석을 통해 최적의 공법을 선택하는 과정에 대해서 고찰하였다. 3)생산설계의 문제점을 구체화하기 위해 사례연구내용을 분석하였다. 4)사례연구 및 전문가 면담의 결과를 분석함으로써 생산설계를 지원하기 위한 협력체 모델을 제안하였다. 제안된 모델은 유사한 프로젝트에 적용할 수 있도록 체계적으로 축적된 자료로 관리되고 관련조직간 정보전달을 개선할 수 있는 유효한 도구로서 활용될 수 있을 것으로 예상되어진다.

• Journal of Advanced Marine Engineering and Technology
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• 제34권3호
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• pp.407-412
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• 2010

According to the remarkable advances in sonar technology, positioning capabilities and computer processing power we can accurately image and explore the seafloor in hydrography. Especially, Multibeam Echo Sounder can provide nearly perfect coverage of the seafloor with high resolution. Since the mid-1990's, Multibeam Echo Sounders have been used for hydrographic surveying in Korea. In this study, new marine data set as an effective decision-making tool in various fields was proposed by visualizing and combining with Multibeam sonar data and marine spatial data sets such as satellite image and digital nautical chart. The proposed method was tested around the port of PyeongTaek-DangJin in the west coast of Korea. The Visualization and fusion methods are described with various marine data sets with processing. We demonstrated that new data set in marine GIS is useful in safe navigation and port management as an efficient decision-making tool.

• 한국가정과교육학회지
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• 제9권1호
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• pp.111-131
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• 1997

The purpose of this study is to develop the lesson model for high school students to improve their abilities as consumer. In the method of the research, the contents on consumer education of the 8 kinds of Home Economics textbooks are reconstructed into the areas of decision-making, financing, reasonable purchasing, and consumer citizenship. The consumer’s ability to be developed in the areas of decision-making, financing, reasonable purchasing, and consumer citizenship is set up as follows： 1) The establishment of the sound consumer morality and values, the ability of independent decision-making, the critical ability, and the problem-solving ability. 2) The ability of research on social, cultural and economic values, and the ability to estimate one’s own short-term and long-term life plan. 3) The ability of reasonable purchase. 4) The ability to participate in a consumer movement, and the ability to take good care of environment. Subsequently, 9 lesson models for the student to improve the consumer’ability are developed.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2016년도 춘계 학술논문 발표대회
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• pp.156-157
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• 2016

Construction projects have shown a dramatic increase in size and complexity during the recent years that precise management has been recognized as one of key factors leading the project to success. It has been investigated that management in construction sites is generally done based on the experience of site engineers. Such experience based decision making lacks reliability that could bring disastrous results such as delay and cost overruns. The purpose of this study is to suggest a process progress pattern analysis method that is expected to be used as an objective reference for site managers to aid the decision making done regarding process progress management.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2017년도 제48회 춘계학술대회논문집
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• pp.1104-1107
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• 2017

본 논문에서는 액체로켓엔진 개발과정에서 제기될 수 있는 주요 이슈에 대한 의사결정의 효율적 수단으로써 계층분석방법(AHP)에 주목하였으며, 액체로켓엔진의 추진제 선정 문제를 통하여 계층분석 방법의 유효성 및 적용가능성을 검토하였다.

• Nuclear Engineering and Technology
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• 제54권1호
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• pp.414-422
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• 2022

Presented in this paper is a methodology for combining a Bayesian statistical approach with Data Quality Objectives (a structured decision-making method) to provide increased levels of confidence in analytical data when approaching a waste boundary. Development of sampling and analysis plans for the characterisation of radioactive waste often use a simple, one pass statistical approach as underpinning for the sampling schedule. Using a Bayesian statistical approach introduces the concept of Prior information giving an adaptive sample strategy based on previous knowledge. This aligns more closely with the iterative approach demanded of the most commonly used structured decision-making tool in this area (Data Quality Objectives) and the potential to provide a more fully underpinned justification than the more traditional statistical approach. The approach described has been developed in a UK regulatory context but is translated to a waste stream from the Fukushima Daiichi Nuclear Power Station to demonstrate how the methodology can be applied in this context to support decision making regarding the ultimate disposal option for radioactive waste in a more global context.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.497-501
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• 2013

An important decision-making element for the success of housing redevelopment projects is a prediction of the profitability of redevelopment. Risk factors influencing profitability were deduced through a review of the literature about profitability and a risk analysis developed by a survey of maintenance projects. In addition, a profitability prediction depending on the analysis of risk factors is necessary to judge the business feasibility of a project in the planning stages. A profitability prediction model of management and disposal method, which is calculated by proportional rate and which helps estimate contributions to profitability, is proposed to prevent difficulties in business development. The proposed model has the potential to prevent interruptions, reduce the length of projects, generate cost savings, and enable rational decision-making during the project period by allowing a judgment of profitability at the planning stage.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.66-73
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• 2013

Analytical Hierarchy Process (AHP) is a famous method amongst Multi Criteria Decision Making (MCDM), set up by Saaty in 1980. AHP can be determined as a methodology of hierarchical analysis following reasonable decision making with make simpler a difficult crisis. Decision making in systems of Safety management concerned multipart challenges. AHP is process for get better the composite decisions understanding with analyzes of the problem in a structure of hierarchy. The integration all of applicable decision criteria, their pair wise judgment permits the decision maker to establish the trade-offs amongst objectives. In recent years, Malaysian's economy and infrastructure development have significantly and rapidly risen. The construction industry continues to play a major role in this development as many construction activities have been carried out to meet the high demands of the expansive market. However, the construction industry has faced a wide range of challenges, one of which is the frequent occurrences of accidents at the workplace. An effective safety program can substantially reduce accidents because it can help management to build up safer means of operations and create safe working environments for the workers. Furthermore, by having an effective safety programs, good safety culture can be embedded in organization because it can encourage mutual cooperation between management and workers in the operations of the programs and decisions that affect their safety and health. The focus of this research is development methodology of Analytics Hierarchy Process (AHP) in construction safety factors and investigates the levels of some effective elements in SMS in Malaysian construction industries.