• Korean Journal of Construction Engineering and Management
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• v.8 no.3
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• pp.159-167
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• 2007

In this study, the concepts of integrated VE analysis assessment is introduced in order to achieve "Design for Deterioration performance" in design VE phase. For this purpose, a framework for fuzzy reliability based LCC and value analysis model using fuzzy logic based approach for breakwaters Projects is suggested. It is anticipated that the methodology Proposed in this paper can also be utilized in the design and maintenance phase of other facilities where decision making is made for the fuzzy reliability based life cycle cost and value analysis.

• Korean Journal of Construction Engineering and Management
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• v.8 no.5
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• pp.71-79
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• 2007

It is common that the analysis of VE/LCC is performed in design phase of quay wall structures. The analysis is mainly executed based on experience and engineering sense of expert considering the selection of construction method, construction and maintenance cost. Recently there are increasing demands on the analysis that includes uncertainty and vulnerability of input parameters, for this purpose, fuzzy reliability based probabilistic VE/LCC analysis model for quay wall structures is suggested. In VE/LCC analysis for quay wall structures, the application of probabilistic analysis method give very similar results compare with those of deterministic analysis method. It is anticipated that the methodology proposed in this paper can also be utilized in the design and maintenance phase of other facilities where decision making is made for the probabilistic life cycle cost and value analysis.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.6
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• pp.923-932
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• 2019

VE is used as a powerful tool to add value to facilities by improving functionality and reducing costs. By identifying the client's requirements in the VE process and reflecting them in the quality model, the developed alternatives meet the client's requirements. However, there is no process to verify how the developed alternatives reflect the needs of the client through functional analysis, idea generation and evaluation. The purpose of this study was to develop, verify, and prove the effectiveness of a methodology for evaluating client satisfaction with alternatives developed during the VE Job Plan. The KANO model, which can identify the satisfaction and dissatisfaction of requirements in product planning, was set as a methodology for alternative verification procedures of VE, and was improved and applied to the purpose of this study. As a result, the alternative evaluation method developed in this study was found to be useful. It is expected that the KANO model will be used to evaluate the satisfaction of VE alternatives in the VE Job Plan analysis.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.36 no.5
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• pp.881-889
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• 2016

The VE evaluation process, in which the value is composed of the cost and the function, should have a characteristic of quantitative analysis based on specific figures rather than qualitative approach. However, most of the VE evaluation performed domestically have a problem of having no systematic process of quantification of the function, even though the cost is estimated and analyzed quantitatively. Moreover, in addition to the tendency of strong practical experience, the VE evaluation has the problem of limited application of practical scientific analysis caused by declining the suggestion of creative opinions by over quantification or over objectification. This paper presents the suggestions for improvement of VE evaluation processes, which satisfies the aspects of simplification and objectification, without hindering the essence of the evaluation in the practical business point of view.

• Korean Journal of Construction Engineering and Management
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• v.14 no.6
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• pp.30-37
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• 2013

Idea creation is the most important step in the overall value engineering (VE) process. Usually the activity is done mostly relying on the experience and knowledge of the experts in the VE team. A more organized approach is needed to find the chance of design improvement during a VE workshop. This study presents an organized approach to increasing the chance of idea creation during the VE workshop. The concept of conflict resolution in TRIZ (Theory of Inventive Problem Solving) is applied to understand the problem area during design improvement. The technical parameters were identified in the problem area to explain the conflicts in design improvement. These technical parameters were used to assist problem solving and improve design functions. A case study was done on a temporary construction operation, and demonstrated that the organized idea creation can help improve the design value of the temporary construction operation.

• Korean Journal of Construction Engineering and Management
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• v.6 no.3 s.25
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• pp.156-166
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• 2005

The purpose of this study is to present proper VE application methods to euly design phases. Since VE methodology is more effective on early stage of design phase, the study focused on application of VE methodology in early stage of design process. With the examination of past studies, obstacles of VE application in domestic construction industry are defined. To solve these problems, this paper presents (1) subdivision of VE execution time, (2) an appropriate VE targeting method for construction industry, (3) a resonable and practical function analysis process, and (4) modified design-VE job plan.

• Korean Journal of Construction Engineering and Management
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• v.6 no.6 s.28
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• pp.133-141
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• 2005

In the resent years, the importance of VE (value engineering) and LCC (life cycle cost) analysis for apartment building construction projects has been fully recognized. Accordingly theoretical models, guidelines, and supporting software systems were developed for the value engineering and life cycle cost analysis for construction management including large building systems. However, the level of consensus on VE and LCC analysis results is still low due to the lack of reliable data on maintenance. This paper presents time dependent LCC model based value analysis method for rational investment decision making and design alternative selection for construction of apartment building. The proposed method incorporates a time dependent LCC model and a performance evaluation technique by fuzzy logic theory to properly handle the uncertainties associated with statistics data and to analyze the value of alternatives more rationally. The presented time dependent VE and LCC analysis procedure were applied to a real world project, and this case study is discussed in the paper. The model and the procedure presented in this study can greatly contribute to design value engineering alternative selection, the estimation of the life cycle cost, and the allocation of budget for apartment building construction projects.

• Korean Journal of Construction Engineering and Management
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• v.15 no.4
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• pp.11-19
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• 2014

Construction VE activities has occupies an important position as a key tool of the project in terms of budget and performance improvements. Reflecting this situation, VE application scope is being expanded than before. Thus, construction projects are required the continued research and development for effective use of construction VE. VE target choice method is the central part in the construction VE work. But, this has a problem with low utilization in practical terms. Accordingly, this study was developed the new methodology(PVTCM) for VE target selection of the construction VE work. Its contents are as follows: First, to analyze practical problem for VE target choice method through VE practical data. Second, to extract the high potential VE object based on the cost model and ideas similarity by excellent VE cases analysis. Third, to implement standardized VE object item by using affinity diagram for each construction type items. This research were conducted to experts interviews for comparison analysis with the cost model as one of a representative target selection method. As a result, proposed method were implemented significantly higher performance in terms of practical effectiveness than conventional method.

• Journal of Intelligence and Information Systems
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• v.18 no.1
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• pp.91-107
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• 2012

As the Internet becomes more popular, many people use it to communicate. With the increasing number of personal homepages, blogs, and social network services, people often expose their personal information online. Although the necessity of those services cannot be denied, we should be concerned about the negative aspects such as personal information leakage. Because it is impossible to review all of the past records posted by all of the people, an automatic personal information detection method is strongly required. This study proposes a method to detect or classify online documents that contain personal information by analyzing features that are common to personal information related documents and learning that information based on the Na$\ddot{i}$ve Bayes algorithm. To select the document classification algorithm, the Na$\ddot{i}$ve Bayes classification algorithm was compared with the Vector Space classification algorithm. The result showed that Na$\ddot{i}$ve Bayes reveals more excellent precision, recall, F-measure, and accuracy than Vector Space does. However, the measurement level of the Na$\ddot{i}$ve Bayes classification algorithm is still insufficient to apply to the real world. Lewis, a learning algorithm researcher, states that it is important to improve the quality of category features while applying learning algorithms to some specific domain. He proposes a way to incrementally add features that are dependent on related documents and in a step-wise manner. In another experiment, the algorithm learns the additional dependent features thereby reducing the noise of the features. As a result, the latter experiment shows better performance in terms of measurement than the former experiment does.

• Journal of the Korean Geotechnical Society
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• v.25 no.12
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• pp.13-25
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• 2009

In this paper, a numerical procedure of probabilistic slope stability analysis that considers the spatial variability of soil properties is presented. The procedure extends the deterministic analysis based on the limit equilibrium method of slices to a probabilistic approach that accounts for the uncertainties and spatial variation of the soil parameters. Making no a priori assumptions about the critical failure surface like the Random Finite Element Method (RFEM), the approach saves the amount of solution time required to perform the analysis. Two-dimensional random fields are generated based on a Karhunen-Lo$\grave{e}$ve expansion in a fashion consistent with a specified marginal distribution function and an autocorrelation function. A Monte Carlo simulation is then used to determine the statistical response based on the random fields. A series of analyses were performed to verify the application potential of the proposed method and to study the effects of uncertainty caused by the spatial heterogeneity on the stability of slope. The results show that the proposed method can efficiently consider the various failure mechanisms caused by the spatial variability of soil property in the probabilistic slope stability assessment.