• 한국멀티미디어학회논문지
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• 제21권6호
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• pp.685-697
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• 2018

(Most companies that perform BPR have not achieved satisfactory results or have not performed successful BPRs. There are many reasons for this, but the most important one has caused problems that do not accurately reflect the requirements of various stakeholders. In this paper, we will apply the BPR consulting methodology to a new value innovation requirements engineering process based on the Blue Ocean strategy, which is a way to create a new market without competition by customerizing potential customers by satisfying new customer expectations and needs. This paper uses a requirements engineering process that can generate customer value by applying the ERRC(Erasure Reduce Raise Create) analysis method, which is the core of the Blue Ocean Strategy Framework[1,2]. We will also apply the Six Sigma DFSS (Design For Six Sigma) methodology to improve quality and process through quantitative and systematic analysis. The proposed approach was presented to the BPR consulting to present a practical case, and the results of the empirical analysis of the system user to validate the results of BPR consulting.

• Structural Engineering and Mechanics
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• 제31권1호
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• pp.57-74
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• 2009

Power signals resulting from spindle and feed motor, present a rich content of physical information, the appropriate analysis of which can lead to the clear identification of the nature of the tool wear. The partial least-squares regression (PLSR) method has been established as the tool wear analysis method for this purpose. Firstly, the results of the application of widely used techniques are given and their limitations of prior methods are delineated. Secondly, the application of PLSR is proposed. The singular value theory is used to noise reduction. According to grey relational degree analysis, sample variable is filtered as part sample variable and all sample variables as independent variables for modelling, and the tool wear is taken as dependent variable, thus PLSR model is built up through adapting to several experimental data of tool wear in different milling process. Finally, the prediction value of tool wear is compare with actual value, in order to test whether the model of the tool wear can adopt to new measuring data on the independent variable. In the new different cutting process, milling tool wear was predicted by the methods of PLSR and MLR (Multivariate Linear Regression) as well as BPNN (BP Neural Network) at the same time. Experimental results show that the methods can meet the needs of the engineering and PLSR is more suitable for monitoring tool wear.

• Architectural research
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• 제15권4호
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• pp.201-206
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• 2013

Special attention is required for the design of windows due to their high thermal vulnerability. This paper examines the problems that might arise in the application of the u-value, by reflecting the changes in the u-value of the window, depending on the window-to-wall ratio obtained in an energy demand analysis. Research indicates that the u-value of a window increases with an increase in the difference between the u-values of the frames and the glass. Relative to the changes in the u-value of the windows, the energy demand varied from 1.3% to 9.3%. Windows with a g-value of 0.3 or 0.5 displayed a higher energy demand than windows with a g-value of 0.7. Therefore, when the difference between the performance of the glass and the frame is significant, especially when the g-value is small, a modified heat transmission coefficient should be applied to the window size during the evaluation of the building energy demand.

• 대한원격탐사학회지
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• 제26권4호
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• pp.411-419
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• 2010

남양주시의 각종 국가 주제도와 위성 및 항공영상 자료를 이용하여 산지가치를 유형별로 구분하였다. 그리고 GIS 분석을 이용하여 산지를 보전적, 생산적, 휴양적, 계획적 가치의 4가지로 평가하고, 가치 평가의 우선순위에 따라 최종 산지의 가치를 구분한 종합도를 작성하였다. 남양주시의 전체 산지에서, 보전적 가치가 높은 지역은 $195km^2$, 생산적 가치가 높은 지역은 $96km^2$, 휴양적 가치가 높은 지역은 $59km^2$, 계획적 가치가 높은 지역은 $11km^2$로 나타났다. 향후, GIS를 활용한 산지가치 유형 구분 시스템의 활용가능성이 확인되었으며, 주기적인 자료의 갱신에 따라 산지를 과학적으로 관리할 수 있을 것으로 판단된다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2007년도 춘계학술대회 논문집
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• pp.295-302
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• 2007

The objective of this paper is to evaluate the proposed design by the Value Engineering (VE) analysis for the gravel ballast and the concrete ballast track structures. However, reliabilities about the VE analysis results based on Life-Cycle Cost(LCC) has not been fully benefited from VE implementation due to disregard of basic principles and lack of systematic performance measurement systems. In this paper, the VE analysis using the Delphi survey of professional group is proposed to decide reasonable determinants for investment and alternative design in construction project of railway tracks. Moreover, the efficiency of VE analysis is invested by an application of the developed methodology to track structures.

• 한국정보통신학회논문지
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• 제17권12호
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• pp.2883-2890
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• 2013

전력분석공격은 알려진 값과 마스터키로부터 생성된 숨겨진 값을 입력 받아 연산하는 시점에서 이루어진다. 연산 결과값과 연산 중에 측정된 전력신호의 상관도를 분석하여 숨겨진 값을 찾아내고, 이 찾아낸 값으로 부터 마스터키를 추정할 수 있다. 그러나 전력분석을 가능하게 하는 조건을 바꾸어, 알려진 값과 연산자를 숨기거나, 숨겨진 값으로부터 마스터키의 추정이 불가능하게 하거나, 연산 결과 값과 전력신호간의 상관도를 매우 낮게 하면 전력분석공격이 매우 어렵게 된다. 이와 같은 전력분석공격을 어렵게 하는 조건을 적용한 비밀 중간키를 이용한 소프트웨어적 방어 대책을 제안한다.

• 산업경영시스템학회지
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• 제42권2호
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• pp.62-68
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• 2019

The growth and employment effects of R&D investment were analyzed according to business size, export value and manufacturing sectors so as to suggest improvement directions for effective industry policies. The effect of R&D investment was considered simultaneously from the two perspectives of growth and employment effect, and the causality analysis was carried out by using a path analysis. The result of the path analysis confirmed significant differences in the growth effect of R&D investment depending on business size. However, the effect of increasing employment was difficult to obtain statistically significant results for any various combinations of business size and export value. This is a mixture of directions for the effects of R&D investment on employment, which could be due to the failure to consider appropriate time lags between investment and effect. Efficiency analysis by industry sectors confirmed significant differences in efficiency depending on business size, but differences depending on export value were difficult to identify. In order to derive improvement policy by industry sector according to business size and export value, the direction of selective support policy and universal support policy was derived for six industry groups by combining the return to scale in the efficiency analysis and R&D concentration. Hirschman-Herfindahl index is used for calculating R&D concentration.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.1294-1299
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• 2009

Best value in value engineering has relation to cost and performance. But a severe problem in VE study of a project is to reduce value due to loss of performance, caused by focusing on cost reduction. Also a lack of understanding performance concept, no trial VE workshop as well as cost saving-based policy have not satisfied customer needs. A efficient and practical methodology for accomplishing best value in construction projects is proposed. This study developed a more objective approach for performance measurement approach of mega projects and suggested a systematic process of performance quantitative analysis verifying value improvement. The proposed performance measurement method would be very useful for better communication and consensus between stakeholders and VE team especially through value engineering.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2002년도 학술대회지
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• pp.389-392
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• 2002

국내 기계설비공사는 현장내의 불필요한 자재 적치 및 현장가공으로 인하여 불필요한 인원과 시간이 소요되는 것으로 조사되었다. 이와 같은 기계설비공사의 작업흐름을 린 생산 원리를 적용하여 가치흐름을 분석하였다. 가치흐름분석(VSA)은 가치흐름맵핑(VSM)을 통하여 기존공법과 공장화생산 공법을 비교하여 낭비요소를 도출하였다. 그 결과 기존공법의 문제점과 공장화생산의 저해요소를 도출하였고 이에 대한 개선 방향에 대하여 제시하였다.

• 한국건설관리학회논문집
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• 제5권5호
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• pp.101-108
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• 2004

A construction process consists of value adding activities and non-value adding activities, necessary or unnecessary. If construction personnel can eliminate inefficient and/or unnecessary activities within the process, they may have a great opportunity to improve their construction process. The Product Process Analysis (PPA) technique, which was developed in the manufacturing industry, can be applied for identifying wastes in the construction process and ultimately improving the process itself. It provides useful tools, such as a process chart worksheet and flow diagram, for mapping the flow of construction activities with predetermined standardized symbols. These tools make people understand the flow of activities more easily, identify value adding/non-value adding activities within the process, and areas where the process can be improved. The example applications of PPA are demonstrated in the paper through the case studies implemented on the construction process of structural steel. The results of case studies indicate that PPA technique was effective at identifying and removing wastes in the steel construction process. It is also found that PPA technique is more effective for improving highly repetitive construction processes.