• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.1108-1115
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• 2003

This paper Introduces a method to automate process design using Case Based Reasoning technique. A case is represented hierarchically through functional requirement, behavioral model, and process mechanism model Specifically, a case retrieval algorithm to use function and behavior, case adaptation method to use hierarchical case representation, and a machine selection method are presented.

• Journal of Korean Society for Quality Management
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• v.25 no.1
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• pp.44-55
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• 1997

In order to determine procedures for a, pp.opriate model selection of technological growth curves, numerous time series that were representative of growth behavior were collected according to data characteristics. Three different growth curve models were fitted onto data sets in an attempt to determine which growth curve models achieved the best forecasts for types of growth data. The analysis of the results gives rise to an a, pp.oach for selecting a, pp.opriate growth curve models for a given set of data, prior to fitting the models, based on the characteristics of the goodness of fit test.

• Journal of the Korean Operations Research and Management Science Society
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• v.10 no.2
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• pp.1-14
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• 1985

This problem of product selection and princing are considered in congested and uncongested markets. In a congested market, such as a computer service market, product quality (the level of congestion) is partly a function of the amount of usage, which in turn depands on user choice. In an uncongested market, product qualities are set solely by providers. A model of quality and capacity variation is developed using a state equation description to represent user optimizing behavior. The model is used to study the problem of scarce resources among competing user demands through quality-dependent pricing.

• Proceedings of the KAIS Fall Conference
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• 2011.05a
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• pp.119-121
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• 2011

The proper selection and application of the constitutive model leads to successful prediction of the mechanical behavior for the geomaterials. Three models, which have been recently noted, were chosen and their contents have been briefly and conceptually described in this study.

• Journal of the Korean Society for Precision Engineering
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• v.14 no.12
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• pp.135-142
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• 1997

New approach to determine thd design of automotive tire profile was introduced. In this study, design technology for tire profile was combined with a finite element method to improve high speed durability. Static and dynamic behavior analysis of new concept tire was compared with conventional tire profile. To obtain the improved tire performance, appropriate design values, ie. design methodology, section profile selection, material properties, are needed.

• Journal of the Korean Home Economics Association
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• v.35 no.6
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• pp.143-155
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• 1997

The purpose of this study is to compare the differences of clothing behavior by the level of self-monitoring under given social situations. The result of this study is drown from the analysis of the survey, gathered from the 522 female students of universities reside in Seoul, by using the method of convenience sampling. The statistical methods used to test the data were MANOVA and chi-square test. The results of this study can be summarized s follows; first, as a result of analyzing the differences of situational self-image pursuits among situations depending individual's self-monitoring levels, it was found that the pursuits changes among situations regardless of the self-monitoring levels. Thus, this hypothesis could not be verified. Second, as a result of analyzing the changes of priority of clothing selection factors among situations depending on individual's self-monitoring levels, it was found that the priority factors changed among situations regardless of the self-monitoring levels.

• Korean Journal of Human Ecology
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• v.9 no.1
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• pp.63-70
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• 2000

The purpose of this study is The results was that consumers who like to the top brand's commodities, had commonly high tendency to and fro its trademark and store allegiance. Furthermore, they have usually bought something following on their inclination what they had purchased as well as the store decoration character and the marketing promotion attribute. The other consumers who prefer to the discount store's merchandises, had also high propensity and the biggest influence on buying something which were those factors; their instance shopping habit, utility-economy trait, follow the fashion character and strong circumspection tendency besides using the mass media Info., personal data and commodities' attribute.

• Proceedings of the Korea Contents Association Conference
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• 2003.11a
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• pp.447-453
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• 2003

Emotion Technology is used in many field such as computer A.I., graphics, robot, and interaction with agent. We focus on the theory, the technology and the features in emotion application. Firstly in the field of theory, there are psychological approach, behavior-based approach, action-selection approach. Secondly in the field of implementation technologies use the learning algorithm, self-organizing map of neural network and fuzzy cognition maps. Thirdly in the field of application, there are software agent, agent robot and entrainment robot. In this paper, we research the case of application and analyze emotion architecture.

• 한국정보디스플레이학회:학술대회논문집
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• 2003.07a
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• pp.581-584
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• 2003

Most modeling about dynamic behavior of Antiferroelectric Liquid Crystal (AFLC) is limited to the hysteric characteristics of AFLC cells or thresholdless switching of frustrated AFLC cells. In this paper, domain growth of AFLC cells is modeled with extended bilayer model. When driving pulses that consist of a selection voltage, a bias voltage, and a reset voltage are applied to the AFLC cell, its dynamic behavior is simulated.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1997.10a
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• pp.973-976
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• 1997

Process behavior in metal cutting results from the chip formation process which is not easily observable and measurable during machining. By means of the finite element method chip formation in orthogonal metal cutting is modeled. The reciprocal interaction between mechanical and thermal loads is taken into consideration by involving the thermo-viscoplastic flow behavior of workpiece material. Local and temporal distributions of stress and temperature in the cutting zone are calculated depending on the cutting parameters. The calculated cutting forces and temperatures are compared with the experimental results obtarned from orthogonal cutting of steel AISl 4140. The model can be applied in process design for selection of appropriate tool-workpiece combination and optimum cutting conditions in term of mechanical and thermal loads.