• 경영과정보연구
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• 제18권
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• pp.41-67
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• 2006

Value Creation issue for customers is emerging from the college education. Most colleges are facing to cope with over-supplied education facility problems against reducing population to apply to enter universities/colleges. The best way to overcome those problems might be to implement the Customer Satisfaction Management Strategy as if they were private firms for making profit. The main purpose in this study is to provide guidelines for CS strategy with a private college. It is focused on designing research plans and searching CS index. The process of this study is as follows; - Introduced the value creation strategy for customers with private colleges. - Proposed the CS management which is very important for enhancing competitive power - Evaluate various models to measure service quality and CSI for college service. - Provided some guidelines to research design of CS according to 6 customer categories. - Proposed some methodologies to apply a service quality measurement model. - Suggested a revised model from SERVPERF to adapt with college customers satisfaction. The result from this study showed that Customer Satisfaction Management would be the most important strategy to cope with confronting difficulties for private college and the revised model from SERVPERF would be an alternative solution. Further study is essential to assure the suggested model is valuable for private colleges because empirical test has not completed yet.

• 대한간호학회지
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• 제42권3호
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• pp.311-321
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• 2012

Purpose: This study was designed to construct and test a structural equation modeling on specific domain health status and the Selection Optimization Compensation (SOC) strategy affecting successful aging in elderly people. Methods: The model construction was based on the SOC model by Baltes and Baltes. Interviews were done with 201 elderly people aged 65 or older. Interview contents included demographics, functional health status, emotional health status, social health status, SOC strategies, and successful aging. Data were analyzed using SPSS 15.0 and AMOS 7.0. Results: Model fit indices for the modified model were GFI=.93, CFI=.94, and RMSEA=.07. Three out of 7 paths were found to have a significant effect on successful aging in this final model. Functional health status had a direct and positive effect on successful aging. Emotional health status influenced successful aging through SOC strategies. Conclusion: This study suggests that interventions for improving functional health status and for strengthening SOC strategies are critical for successful aging. Continuous development of a variety of successful aging programs using SOC strategy is suggested.

• 대한기계학회논문집A
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• 제24권10호
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• pp.2589-2596
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• 2000

As current manufacturing processes require high spindle speed and precise machining, increasing accuracy by reducing volumetric errors of the machine itself, particularly thermal errors, is very important. Thermal errors can be estimated by many empirical models, for example, an FEM model, a neural network model, a linear regression model, an engineering judgment model, etc. This paper discusses to make a modeling of thermal errors efficiently through backward elimination and fuzzy logic strategy. The model of a thermal error using fuzzy logic strategy overcomes limitation of accuracy in the linear regression model or the engineering judgment model. It shows that the fuzzy model has more better performance than linear regression model, though it has less number of thermal variables than the other. The fuzzy model does not need to have complex procedure such like multi-regression and to know the characteristics of the plant, and the parameters of the model can be mathematically calculated. Also, the fuzzy model can be applied to any machine, but it delivers greater accuracy and robustness.

• 영어어문교육
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• 제7권2호
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• pp.55-75
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• 2002

The present study examined whether Kang's (1999) model of the relationships among language learning strategy use and language proficiency for the Asian students could be applied to a more heterogeneous group. In Kang's study, he collected information of language learning strategies of 957 foreign students learning English as a second language in American colleges through a questionnaire. He also measured the subjects' language proficiency with the Institutional Testing Program TOEFL (Test of English as a Foreign Language). This study analyzed the same data without the limitation of cultural identity. Structural equation modeling was used to model the relationships among strategy use and language proficiency. Then, the model of the present study was descriptively compared with Kang's (1999) model for the Asian students. The overall flow of the relationship paths appeared to vary very little across the two models, which would have indicated that the generalizability of Kang's (1999) model could be extended more than originally examined. (156)

• 정보과학회 논문지
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• 제44권10호
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• pp.1034-1044
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• 2017

본 연구에서는 추상 도달가능성 그래프(ARG) 기반의 소프트웨어 모델체킹에서 그래프 탐색전략을 설정할 수 있는 새로운 방법을 제시한다. ARG의 여러 실행 경로를 하나로 묶어 모델체킹 성능을 향상시키는 기법인 블록 인코딩(Block Encoding) 기법을 활용하는 경우 기존의 기법들은 인코딩 전의 ARG에서 인코딩을 효과적으로 수행할 수 있는 탐색전략만을 고려하였을 뿐 실제 모델체킹의 성능을 좌우할 수 있는 인코딩 후의 ARG에 대한 탐색전략을 고려하지 못하는 문제가 있었다. 본 연구에서는 기존 연구에서 제시된 탐색 기법을 사용하여 블록 인코딩을 효과적으로 수행하는 동시에 인코딩된 후의 ARG에 대한 탐색 순서를 고려할 수 있는 이중 탐색전략 기법을 제시한다. 또한 탐색 순서의 변화가 모델체킹의 성능에 미치는 영향을 확인하기 위하여 제시하는 기법을 오픈소스 모델체킹 도구에 구현하고 벤치마크 실험을 수행하였으며 탐색전략이 달라지면 모델체킹의 성능이 달라지는 현상을 확인하였다.

• 통상정보연구
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• 제12권1호
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• pp.271-295
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• 2010

In this study, we investigate the relationships among organizational market orientation, learning orientation, information technology(IT) support for firm resource, IT support for strategy, and balanced scorecard(BSC) performance in export firms. The development of the research model is based on the empirical studies of strategy and resource-based view. The data from the survey was analyzed using Partial Least Squares(PLS). The results from the empirical model suggest that IT support for firm resource is effected by market orientation and learning orientation. And, IT support for strategy is enhanced by IT support for firm resource. Finally, BSC performance of export firms is effected by IT support for strategy.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2010년도 하계학술대회 논문집
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• pp.448-449
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• 2010

This paper proposes a sensorless control strategy for the Interior Permanent Magnet Synchronous Motor (IPMSM) by using the parallel reduced-order Extended Kalman Filter. The sensorless control strategy is composed with two EKFs alternately computed every sampling period with a new model. The new model is based on the extended electromotive force (EEMF) which has a simple structure, making position estimation possible without approximation. The proposed strategy can save computation time and estimate rotor speed and position. To verify the merit of the proposed strategy, simulation and experimental results validate the theoretical analysis and show the feasibility of the proposed control strategy.

• 품질경영학회지
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• 제40권3호
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• pp.347-358
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• 2012

Purpose: Given the mixture components - process variables experimental data, we propose the strategy to find the proper combined model. Methods: Process variables are factors in an experiment that are not mixture components but could affect the blending properties of the mixture ingredients. For example, the effectiveness of an etching solution which is measured as an etch rate is not only a function of the proportions of the three acids that are combined to form the mixture, but also depends on the temperature of the solution and the agitation rate. Efficient designs for the mixture components - process variables experiments depend on the mixture components - process variables model which is called a combined model. We often use the product model between the canonical polynomial model for the mixture and process variables model as a combined model. Results: First we choose the reasonable starting models among the class of admissible product models and practical combined models suggested by Lim(2011) based on the model selection criteria and then, search for candidate models which are subset models of the starting model by the sequential variables selection method or all possible regressions procedure. Conclusion: Good candidate models are screened by the evaluation of model selection criteria and checking the residual plots for the validity of the model assumption. The strategy to find the proper combined model is illustrated with examples in this paper.

• 지능정보연구
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• 제29권1호
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• pp.377-396
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• 2023

암호화폐시장이 지속해서 성장함에 따라 하나의 새로운 금융시장으로 발전하였다. 이러한 암호화폐시장에 관한 투자전략 연구의 필요성 또한 대두되고 있다. 본 연구에서는 단기매매전략과 딥러닝을 결합한 암호화폐 투자 방법론에 대해 실증분석을 진행하였다. 투자 대상의 암호화폐를 이더리움으로 설정하고, 과거 데이터를 기반으로 최적의 파라미터를 찾아 이를 활용하여 실험 모델의 투자 성과를 분석하였다. 실험 모델은 변동성돌파전략, LSTM(Long Short Term Memory)모델, 이동평균 교차 전략, 그리고 단일 모델들을 결합한 결합 모델이다. 변동성돌파전략은 일 단위로 변동성이 크게 상승할 때 매수하고 당일 종가에 매도하는 단기매매전략이며, LSTM모델은 시계열 데이터에 적합한 딥러닝 모델인 LSTM을 활용하여 얻은 예측 종가를 이용한 매매방법이다. 이동평균 교차 전략은 단기 이동평균선이 교차할 때 매매를 결정하는 방법이다. 결합 모델은 변동성돌파전략의 매수 조건과 변동성돌파전략의 목표 매수가보다 LSTM의 예측 종가가 큰 경우 매수하는 조건이 동시에 만족하면 매수하는 규칙이다. 결합 모델은 변동성돌파전략과 LSTM모델의 파생 변수를 활용해 매수 조건에 AND와 OR를 사용하여 만든 매매 규칙이다. 실험 결과, 단일 모델보다 결합 모델에서 투자 성과가 우수함을 확인하였다. 특히, 데일리 트레이딩과 매수 후 보유의 누적수익률은 -50%이하인 것에 비해 결합 모델은 +11.35%의 높은 누적수익률을 달성하여 하락이 지속되던 투자 기간에도 기술적으로 방어하며 수익을 낼 수 있음을 확인하였다. 본 연구는 기존의 딥러닝기반 암호화폐 가격 예측에서 나아가 변동성이 큰 암호화폐시장에서 딥러닝과 단기매매전략을 결합하여 투자 성과를 개선하였다는 점에서 학술적 의의가 있으며, 실제 투자 시 적용 가능성을 보여주었다는 점에서 실무적 의의가 있다.

• Journal of Biosystems Engineering
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• 제37권3호
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• pp.148-154
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• 2012

Purpose: In order to improve road-friendliness of heavy vehicles, a fuzzy hybrid control strategy consisting of a hybrid control strategy and a fuzzy logic control module is proposed. The performance of the proposed strategy should be effectively evaluated using a hardware-in-the-loop (HIL) simulation model of a semi-active suspension system based on the fuzzy hybrid control strategy prior to real vehicle implementations. Methods: A hardware-in-the-loop (HIL) simulation system was synthesized by utilizing a self-developed electronic control unit (ECU), a PCI-1711 multi-functional data acquisition board as well as the previously developed quarter-car simulation model. Road-friendliness of a semi-active suspension system controlled by the proposed control strategy was simulated via the HIL system using Dynamic Load Coefficient (DLC) and Dynamic Load Stress Factor (DLSF) criteria. Results: Compared to a passive suspension, a semi-active suspension system based on the fuzzy hybrid control strategy reduced the DLC and DLSF values. Conclusions: The proposed control strategy of semi-active suspension systems can be employed to improve road-friendliness of road vehicles.