• Transactions of the Korean Society of Mechanical Engineers A
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• v.33 no.2
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• pp.114-126
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• 2009

In this paper, a versatile multi-criteria optimization concept for fatigue life prediction is introduced. Multi-criteria decision making in engineering design refers to obtaining a preferred optimal solution in the context of conflicting design objectives. Compromise decision support problems are used to model engineering decisions involving multiple trade-offs. These methods typically rely on a summation of weighted attributes to accomplish trade-offs among competing objectives. This paper gives an interpretation of the decision parameters as governing both the relative importance of the attributes and the degree of compensation between them. The approach utilizes a response surface model, the compromise decision support problem, which is a multi-objective formulation based on goal programming. Examples illustrate the concepts and demonstrate their applicability.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.17 no.4
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• pp.67-74
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• 2008

The important dynamic specifications in the aluminum automobile body design are the vibrations and crashworthiness in the views of ride comforts and safety. Thus, considerable effort has been invested into improving the performance of mechanical structures comprised of the interactive multiple sub-structures. Most mechanical structures are complex and are essentially multi-criteria optimization problems with objective functions retained as constraints. Each weight factor can be defined according to the effects and priorities among objective functions, and a feasible Pareto-optimal solution exists for the criteria-defined constraints. In this paper, a multi-criteria design based on the Pareto-optimal sensitivity is applied to the vibration qualities and crushing characteristics of front structure in the automobile body design. The vibration qualities include the idle, wheel unbalance and road shake. The crushing characteristic of front structure is the axial maximum peak load.

• Journal of the Society of Naval Architects of Korea
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• v.46 no.4
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• pp.409-416
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• 2009

The structural design problems are acknowledged to be commonly multi-criteria in nature. The various multi-criteria optimization methods are reviewed and the most efficient and easy-to-use Pareto optimal solution methods are applied to structural optimization of a truss and a beam. The result of the study shows that Pareto optimal solution methods can easily be applied to structural optimization with multiple objectives, and the designer can have a choice from those Pareto optimal solutions to meet an appropriate design environment.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1993.04a
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• pp.34-34
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• 1993

• Journal of the Korean Home Economics Association
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• v.46 no.7
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• pp.59-69
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• 2008

The purpose of this research was to investigate the effect of appearance perception on sportswear benefits sought, evaluative criteria, and sportswear image preferences. The subjects were 530 female sportswear consumers who were residents in Seoul. The data were analyzed by factor analysis, multiple regression, ANOVA, and Duncan test. The results showed that there were two appearance perception factors: appearance interest and weight interest. Sportswear benefits sought had five factors of ideal figure/sex appeal, status ostentation, individuality/fashion, comfort, and youth-orientation. Sportswear evaluative criteria consisted of function, brand/fashion, and design factors. Sportswear image preferences had four factors: innovative, luxurious, simple, and active. Statistical analyses showed that there were significant effects of appearance perception on sportswear benefits sought, evaluative criteria, and sportswear image preferences. For example, the consumers who were interested in their appearances sought the benefits of ideal figure/sex appeal, status ostentation, individual/fashion in sportswear. Also, they considered brand/fashion and design as important criteria and preferred innovative and luxurious sportswear images.

• Journal of Fashion Business
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• v.21 no.2
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• pp.91-104
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• 2017

This study analyzed the difference of selection criteria when buying socks and wearing satisfaction related to socks according to demographic characteristics and fashion interest degree for the adults in their from 20s to 40s. Factor analysis, t-test, ANOVA, and Duncan multiple range test were used for data analysis. The result of factor analysis for selection criteria when buying socks showed that the drawn factors were design and coordination, hygiene and wearing comfort and practicality. The difference analysis results about selection criteria when buying socks showed that design and coordination, hygiene and wearing comfort, and practicality were significantly different according to gender, age, and occupation, and that design and coordination and practicality were significantly different according to marital status. The result of difference analysis for selection criteria when buying socks according to fashion interest degree showed that design, coordination, hygiene, wearing comfort and practicality were significantly different. The result of factor analysis for wearing satisfaction of socks showed that the drawn factors were wearing comfort, hygiene, durability, and design. The difference analysis results about wearing satisfaction of socks showed that design was significantly different according to gender and marital status, wearing comfort and design significantly different according to age, wearing comfort, hygiene, and design were significantly different according to occupation. According to fashion interest degree, wearing comfort and design showed the significant difference.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.7 no.3
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• pp.87-95
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• 2008

The purpose of this study is to provide a decision support to select an appropriate rapid prototyping(RP) machine that suits the application of a part. Selection factors include concept model, form/fit/functional model, pattern model for molding, material property, build time and part cost that greatly affect the performance of RP machines. However, the selection of a RP is not an easy decision because they are uncertain and vague. For this reason, the aim of this research is to propose hybrid multiple attribute decision making approaches to effectively evaluate RP machines. In addition, because subjective considerations are relevant to selection decision, a fuzzy logic approach is adopted. The proposed selection procedure consists of several steps. First, we identify RP machines that the users consider. After constructing the evaluation criteria, we calculate the weights of the criteria by applying the fuzzy Analytic Hierarchy Process(AHP) method. Finally, we construct the fuzzy Technique of Order Preference by Similarity to Ideal Solution(TOPSIS) method to achieve the ranking order of all machines providing the decision information for the selection of RP machines.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.374-377
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• 2005

Automobile is in charge of most transportation system in modern urban city. However, in fact, cause of problem of road state, environment, and the other reasons, urban transit system is using as Mass Transit nowadays. Nevertheless Urban transit system is considering many kind of safety fact of that system which is increasing continuously nowadays, it occurs various train accident. This paper describes 3D Dimensional Measurement(EDM testing) and tensile testing results of carbody structure for crashed EMU(Electric Multiple Units). Tensile tests were performed on two different types of specimens in order to evaluate the strength changes before and after damages, obtained from plastic deformed area and nondeformed region of the crashed EMU. And Structural analysis of EMU was performed for the criteria of safety assessment. Structural analysis using commercial I-DEAS software provided important information on the stress distribution and load transfer mechanisms as well as the amount of damages during rolling stock crash. The testing results have been used to provide the critical information for the criteria of safety diagnosis.

• Communications of the Korean Mathematical Society
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• v.33 no.3
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• pp.833-851
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• 2018

In this article, we prove some normality criteria for a family of meromorphic functions having zeros with some multiplicity. Our main result involves sharing of a holomorphic function by certain differential polynomials. Our results generalize some of the results of Fang and Zalcman [4] and Chen et al. [2] to a great extent.

• Journal of Convergence for Information Technology
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• v.9 no.7
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• pp.33-40
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• 2019

As aerospace industry has been activated recently, it is required to commercialize composite analysis software. Until now, commercial software has been mainly used for analyzing composites, but it has been difficult to use due to high price and limited functions. In order to solve this problem, automatic analysis software for both in-plane and corner radius strength, which are all made on-line and generalized, has recently been developed. However, these have the disadvantage that they can not be analyzed simultaneously with multiple failure criteria. In this paper, we propose a method to greatly improve the processing speed while simultaneously handling the analysis of multiple failure criteria using a parallel processing platform that only works with a GPU equipped with a CUDA core. We have obtained satisfactory results when the analysis speed is experimented on the vast structure data.