• Journal of Multimedia Information System
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• v.3 no.3
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• pp.85-90
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• 2016

We firstly tried to understand consumers' purchasing tendencies and mainly focused on designing a platform model that offers integrated support. C2B (Customer to Business) orders integrate with a consumption platform of a B2C (Business to Customer) model, and integrated support aims at design, supply, processing, and distribution of a fashion business. All the information such as orders, sales, production, supply, and settlement of accounts is synchronized under the C2B, B2C, and O2O (Online to Offline) environment so that accurate information can be shared in real time. Our platform automatically handles with a net income of a product designer, manufacturer, and shipping company once shipping is confirmed.

• The Journal of Information Systems
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• v.18 no.3
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• pp.375-399
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• 2009

In this study, we propose a integrated model of logistic regression, artificial neural networks, support vector machines(SVM), with case-based reasoning(CBR). To predict respondents in the direct marketing is the binary classification problem as like bankruptcy prediction, IDS, churn management and so on. To solve the binary problems, we employed logistic regression, artificial neural networks, SVM. and CBR. CBR is a problem-solving technique and shows significant promise for improving the effectiveness of complex and unstructured decision making, and we can obtain excellent results through CBR in this study. Experimental results show that the classification accuracy of integration model using CBR is superior to logistic regression, artificial neural networks and SVM. When we apply the customer response model to predict respondents in the direct marketing, we have to consider from the view point of profit/cost about the misclassification.

• The Journal of Korean Association of Computer Education
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• v.5 no.4
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• pp.123-133
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• 2002

In this paper we proposed EduCODE for educational contents development method and designed the system to support EduCODE. There are four models in EduCODE such as domain model, navigation model, abstract interface model, and asset model. The method includs graphic notations for contents structure. The system to support EduCODE consisted of authoring module and run-time module. The authoring module automatically generates ADL SCORM XML code using specifications produced by EduCODE and the code is serviced to a client by run-time module and web server.

• Asia pacific journal of information systems
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• v.3 no.1
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• pp.54-87
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• 1993

This exploratory study addressed the issue of effective EUC management, based on the sociotechnical theory. Extensive literature review gave birth to a set of critical success factors in EUC. With those factors, a basic EUC model was developed. Then the model was tested in the domestic industry to find its validity. It was also attemped to develop a structural equation model in which critical factors for sucessful implementation of EUC are arranged by the result of empirical survey. In the final model, technical support, computer experience, user control, and top management support were included as exogenous factors. Thses contructs were found to influence directly or indirectly three endogenous factors, user satisfaction, computer use, and performance.

• 한국지구물리탐사학회:학술대회논문집
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• 2003.11a
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• pp.109-114
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• 2003

It is the common practice to reinforce excessively the secondary tunnel lining due to the lack of rational insights into the ground loosening loads. The main load of the secondary lining for drained-type tunnels is the ground loosening. The main cause of the load for secondary tunnel lining is the deterioration of the primary support members such as shotcrete, steel ribs, and rockbolts. Accordingly, the development of the analysis model to consider the ground-primary supports-secondary lining interaction is very important for the rational design of the secondary tunnel lining. In this paper, the interaction is conceptually described by the simple mass-spring model and the load transfer from the primary supports to the ground and the secondary lining is showed by the characteristic curves including the secondary lining reaction curve for the theoretical solution of a circular tunnel. And also, the application of this model to numerical analysis is verified in order to review the potential tool for practical tunnel problems with the complex conditions like non-circular shaped tunnels, multi-layered ground, sequential excavation and so on.

• Korean Management Science Review
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• v.21 no.2
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• pp.15-25
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• 2004

Great effort has been exerted to redesign the supply chain network as a means to improve corporate competitiveness. In this study, we present a mathematical model and a solution system to help redesign corporate logistics networks. The objective of the model is to minimize total logistics costs. We applied the solution system to real problem cases. We use the model and the concept to develop decision support system that is based on C++ with the use of CPLEX callable library as a solution engine. We tested and verified the DSS for redesigning the network of a large Korean electronics company. Through various scenario analyses. we recommend to redesign their supply chain network that demonstrates the possibility of substantial logistics cost savings.

• Journal of the Korea Safety Management & Science
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• v.8 no.5
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• pp.167-180
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• 2006

This study expands limitation of OASIS(Optimal Allocation of Spares for Initial Supports) program, which calculates CSP(Concurrent Spare Part), not only availability but also cost, and developed the program enabling run in WINDOW OS. By considering multi-step repair and logistics support system, repairing capability at the time of deployment, and procurement period, this model is the first local model reflecting circumstances of the armed forces of the Republic of Korea. Furthermore, the programmed model was selected as the military standard software and has being essentially used for CSP calculation.

• Journal of Korean Academy of Nursing
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• v.35 no.4
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• pp.737-744
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• 2005

Purpose. This study was done to identify and test a model of the psychosocial variables that influence adherence to therapeutic regimens in patients with hypertension. Method. A convenience sample of 219 patients with hypertension who were enrolled in an outpatient clinic of a cardiovascular center in Korea participated in the study. They completed self-administered questionnaires anonymously. The questionnaire was based on the Social Action Theory model and a literature review. The explanatory model was constructed and tested using structural equation modeling in order to examine the effects within the model. Results. The results of this study showed that perceived self-efficacy was the strongest factor influencing patient adherence in this sample. Adherence to therapeutic regimens in patients with hypertension was influenced by self-efficacy, patient-provider relationship, social support, and depression. Conclusions. Adherence to therapeutic regimens in patients with hypertension was most strongly influenced by self-efficacy. These findings suggest that nursing interventions to promote patient adherence should focus on the promotion of self-efficacy including improvement in patient-provider relationship and social support, and reduction in depression.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.55 no.11
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• pp.485-491
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• 2006

In this paper, we study the problem of model selection for Support Vector Machine(SVM) predictor for short-term load forecasting. The model selection amounts to tuning SVM parameters, such as the cost coefficient C and kernel parameters and so on, in order to maximize the prediction performance of SVM. We propose that Cross-Validation method can be used as a model selection algorithm for SVM-based load forecasting technique. Through the various experiments on several data sets, we found that the difference between the prediction error of SVM using Cross-Validation and that of ideal SVM is less than 5%. This shows that SVM parameters for load forecasting can be efficiently tuned by using Cross-Validation.

• Journal of Information Technology Services
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• v.11 no.4
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• pp.171-180
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• 2012

Since software and hardware integration has became a strategic tool for companies to innovate their products, an information system that can comprehensively manage software and hardware integrated product development is critical for the current product development. This paper proposed a product data model that can support modules of related software and hardware parts in Product Data Management(PDM) integrated with Software Configuration Management(SCM). The model allows engineers to define software and hardware product structure independently, and support the integration module that can summon related software and hardware parts to build a comprehensive module for collaboration. Through the integration module, engineers can identify and examine the effectiveness of their design alternatives to other related parts form different disciplines. The product data model was implemented as a prototype PDM system and tested with an example robotics product.