• Structural Engineering and Mechanics
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• v.26 no.3
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• pp.297-313
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• 2007

A preliminary performance-based seismic design methodology is proposed. The top yield displacement of the system is computed from these of the components, which are assumed constant. Besides, a simple procedure to evaluate the top yield displacement of frames is developed. Seismic demands are represented in the form of yield point spectra. The methodology is general, conceptually transparent, uses simple calculations based on first principles and is applicable to asymmetric systems. To consider a specific situation two earthquake levels, occasional and rare are considered. The advantage of an arbitrary assignment of strength to the different components to reduce eccentricities and improved the torsional response of the system is addressed. The methodology is applied to an asymmetric five story building, and the results are verified by push-over analysis and non linear dynamic analysis.

• Transactions of the Korean hydrogen and new energy society
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• v.26 no.5
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• pp.453-462
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• 2015

In this study, a methodology is investigated for the development of social responsibility program employed by major domestic companies under social pressure. It is true, however, that its infancy in history and lack of experience makes it difficult to run novel programs for the companies on their own and it naturally leads to copying and/or slight modification of what others do. Utilizing widely accepted SWOT analysis, stakeholders analysis and PDCA Cycle, a methodology for the successful programs with sustainability is proposed by reflecting business nature and strategic direction. Three real cases are analyzed. In addition, relationship and position with social welfare organizations is elucidated.

• Korean Journal of Construction Engineering and Management
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• v.5 no.5 s.21
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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'.

• Journal of Community Nutrition
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• v.8 no.1
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• pp.16-23
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• 2006

This paper describes a methodology for conducting Community Nutrition research with rather than on people in a community to generate grounded theory. This collaborative grounded theory methodology incorporates local knowledge and wisdom and builds community leadership capacity through engaging community-based professionals and para-professionals in the research process. In addition to building capacity for participation and leadership in research, education and action, this approach can increase the validity and value of the research and facilitate its application in community led programs. The methodology has five components: background, study design, data gathering, data analysis and interpretation, and application of findings in community programming. Three stages of the data analysis component focus sequentially on each interview independently, comparing across interviews, and systematically testing theory developed in the first two.

• Computers and Concrete
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• v.7 no.6
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• pp.511-522
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• 2010

A color based segmentation procedure and a modified signature technique have been applied to the detection and analyses of complicated void shapes in cemented materials. The gray-scale segmentation and available signature methods were found to be inefficient especially for the analyses of complicated void shapes. The applicability of the developed methodology has been demonstrated on artificially prepared cemented materials made of self compacted concrete material. In order to characterize the void shapes in the investigated sample images, two new shape parameters called as coefficients of inclusion and exclusion have been proposed. When compared with the traditional use of the signature method, it was found that the methodology followed herein would better characterize complicated void shapes. The methodology followed in this study may be applied to the analysis of complicated void shapes that are often encountered in other cementitious materials such as clays and rocks.

• International Journal of Naval Architecture and Ocean Engineering
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• v.11 no.1
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• pp.11-21
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• 2019

In product design, the initial design stage is being increasingly emphasized because it significantly influences the successive product development and production stages. However, for larger and more complex products, it is very difficult to accurately predict product reliability in the initial design stage. Various design methodologies have been proposed to resolve this issue, but maintaining reliability while exploring design alternatives is yet to be achieved. Therefore, this paper proposes a methodology for conceptual design considering reliability issues that may arise in the successive detailed design stages. The methodology integrates the independency of axiomatic design and the hierarchical structure of failure mode, effects, and criticality analysis (FMECA), which is a technique widely used to analyze product reliability. We applied the proposed methodology to a liquefied natural gas fuel gas supply system to verify its effectiveness in the reliability improvement of the design process.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2000.04a
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• pp.187-196
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• 2000

A lot of Internet shopping malls strive for obtaining a competitive advantage over others in an increasingly tighter electronic marketplace. To this end, understanding customer preference toward products (or services) and administering appropriate marketing strategy is essential for their continuous survival. However, only a few marketing researchers and practicioners focused on this issue, compared with academic and industry efforts devoted to traditional market segmentation. In this paper, we suggest a methodology of conjoint segmentation for electronic shopping malls. Traditional market segmentation methodologies based on customer's profile sometimes fail to utilize abundant information given while navigating around cyber shopping malls. In this methodology, we do not impose information overload to the customer for preference elicitation, but this methodology, we do not impose information overload to the customer for preference elicitation, but capture automatically generated surfing or buying data and analyze them to get useful market segmentation information. The methodology consists of 4-stages: 1) analyzing legacy homepages, 2) data preparation, 3) estimating and interpreting the result, and 4) developing marketing mix. Our methodology was to give useful guidelines for market segmentation to companies working in the electronic marketplace.

• Journal of the military operations research society of Korea
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• v.32 no.2
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• pp.56-77
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• 2006

This paper suggests more improved war-game modeling methodology for close combat attrition modeling. Military operation analysts have been using equation-based modeling techniques such as Lanchester-type differential equation modeling, for combat attrition evaluation. This modeling methodology is easy to analyze and evaluate the war-game simulation results but has several limitations to simulate the dynamic combat environment. To overcome these shortcomings, we propose the agent-based modeling methodology. This methodology is modeling close combat based in attrition behaviors instead of attrition coefficients. The simulation analysis & evaluation is executed for these two kinds of modeling methodology on the similar close combat situation.

• International Commerce and Information Review
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• v.7 no.1
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• pp.55-74
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• 2005

Recently, many enterprises have attempted to construct data warehousing systems for decision-support. Data warehouse is an intelligent store of data that can aggregate vast amounts of information. Building DW requires two important development issues:(i) DW for the decision making of business users and (ii) metadata within it. Most DW development methodologies have not considered metadata development; it is necessary to adopt a DW development methodology which develops a DW and its metadata simultaneously. Metadata is a key to success of data warehousing system and is critical for implementing DW. That is, metadata is crucial documentation for a data warehousing system where users should be empowered to meet their own information needs; users need to know what data exists, what it represents, where it is located, and how to access it. Furthermore, metadata is used for extracting data and managing DW. However, metadata has failed because its management has been segregated from the DW development process. Metadata must be integrated with data warehousing systems. Without metadata, the decision support of DW is under the control of technical users. Therefore, integrating data warehouse with its metadata offers a new opportunity to create a more adaptive information system. Therefore, this paper proposes a DW development methodology from a metadata perspective. The proposed methodology consists of five phases: preparatory, requirement analysis, data warehouse (informational database) development, metastore development, and maintenance. To demonstrate the practical usefulness of the methodology, one case is illustrated

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.1
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• pp.34-41
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• 2020

There has not been any scientific analysis on appropriate size of workforce and salary for civilian workers in military so far. Thus, this paper conducted analysis on propriety in employment size of military doctrine researchers using system dynamic methodology based on annual military doctrine workload. Vensim software was mainly used to measure complement of the research group based on data from job analysis. Secondly, a multiple regression analysis was performed to study an appropriate wage for researchers based on their expertise and working condition. The data from twenty public research institutions and twenty eight job positions that are performing similar duty with military doctrine researchers was obtained and utilized to create a salary-estimation regression equation in the analysis. Finally, with cost-benefit analysis method this paper studied financial effectiveness of hiring military doctrine researchers. Contingent valuation method, which has been recognized as one of the most effective methodologies in cost-benefit analysis on intangible value, was utilized to measure benefit of hiring the researchers. The methodology presented in this paper can be applied to measure and improve the efficiency of military organization not only in military doctrine research area but also in several military functional area (military training, logistics, administration, combat development, and combat support).