• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.8
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• pp.1939-1946
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• 2009

Modern enterprise may be in need of developing the right application programs under rapidly changing business environment in fast time-to-market. But Most of enterprise without business process mechanism are very hard to develop the application needed in time when it will be changing their business. To solve this problem, we propose the business process framework based on the closed architecture. This approach is to develop the right application with reusing software modules in time and easily under rapid business process changing/improving through mapping BPM(Business Process Model), SOA(Service Oriented Architecture), and CBD(Component Based Development). we also define 5-Layers of BPF(Business Process Framework), and BNF(Backus Naur Form) for structuring BPF.

• Journal of Fashion Business
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• v.9 no.5
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• pp.51-64
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• 2005

The purpose of this study was to investigate how different priorities were among entrepreneurial components influencing upon performance of firm regarding dynamics of textile fashion industry. For research method, 200 questionnaires were distributed to professionals such as entrepreneurs, and managers of textile fashion business. The returned 122 questionnaires were analyzed by regression analysis with SPSS 10.0. The results of this study were as follows: There were significant differences that the most influential component was fund among entrepreneurial components affecting performance of firm, and business idea, and entrepreneur's characteristics in a descending order. But when considering dynamics of textile fashion industry, the most influential component was business idea, and entrepreneur's characteristics, and fund in a descending order.

• Journal of Korea Spatial Information System Society
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• v.2 no.2 s.4
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• pp.75-84
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• 2000

GIS has been building for various application fields with the aids of NGIS project, especially numerous municipal governments are building a UIS in the level of local governments' informatization. Although there are some difference between municipal governments' business, still many things are in common. So far, individual municipal governments have developed a UIS for their own use, which lead to duplicated development of the UIS. The component technology has been introduced to remove such duplicated efforts and it enabled maximizing the reusablilty of the UIS already developed. This paper proposes a component design for network analysis of the drinking water to calculate the amount of flow and the head loss. This component design provides the initial water amount to estimate the amount of the network flow and the head loss, thereby supports the decision making such as installation or extension of the pipe network. The process of the component design accompanies the business reengineering to support the standardized business work flow. Also, the design of the network analysis component uses the algorithms induced with UML specification. Based on the component design, the component development has been progressing and the network analysis system would be followed. In the near future, another component to integrate the network analysis and the business related to the drinking water needs to be developed.

• Journal of KIISE:Software and Applications
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• v.37 no.4
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• pp.239-251
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• 2010

In modern distributed enterprise applications that have multilayered architecture, business entities are a kind of crosscutting concerns running through service components that implements business logic in each layer. When business entities are modified, service components related to them should also be modified so that they can deal with those business entities with new types, even though their functionality remains the same. Our previous paper proposed what we call the DTT (Data Type-Tolerant) component model to efficiently process the variability of business entities, which are data externalized from service components. While the DTT component model, by removing direct coupling between service components and business entities, exempts the need to rewrite service components when business entities are modified, it incurs the burden of implementing data type converters that mediate between them. To solve this problem, this paper proposes a method to use ontology as the metadata of both SCDTs (Self-Contained Data Types) in service components and business entities, and a method to generate data type converter code using the ontology. This ontology-based DTT component model greatly enhances the reusability of service components and the efficiency in processing data variability by allowing the computer to automatically generate data type converters without error.

• The KIPS Transactions:PartD
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• v.13D no.7 s.110
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• pp.947-958
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• 2006

In order to increase extensibility and reusability of business components, the variable things need to be analyzed from the analysis phase and identified as components. In this paper, we propose a rule-based analysis pattern, which can effectively extract object-based main concepts from a variable business process in the analysis phase and identify a variable business component by applying the pattern to the UML Components development process. It can make analysis artifacts consistent and readable for analysts with different level of knowledge and experience to apply the pattern to analysis of rule-based variable business processes. And also, variable business components can be easily identified by applying the pattern to the UML Components development process. In order to prove the feasibility of the pattern, we have applied the pattern the deposit and import/export subsystem of the banking domain. According to our experience, we can make the same business conceptual models between the deposit and import/export subsystem due to the main concepts suggested by the pattern and effectively identify a variable business components in the UML Components development process.

• Korean Journal of Construction Engineering and Management
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• v.9 no.4
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• pp.163-172
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• 2008

This study has provided the answer which construction companies to make complete competitive factors for sustainable growth in construction industry with to 21C environment changes. So the purpose of study is to provide a guideline for establishing the strategy of existence and growth. In order to carry out this purpose of study, above all after has been reviewed Quality Management by considering the characteristics of construction companies, TQM(Total Quality Management) component and business performance, the study has been made a close inquiry in causal relationship between TQM component(leadership, education.training, participation) and business performance(quality) in construction industry. The result of the study can be summarized as follows: First, a test was conducted to whether TQM component(participation) has a significantly positive effect on business performance(quality). Second, it was found that there was a positive casual relationship between each of the TQM factors and business performance(quality). TQM factors had great influences on the business performance of construction companies. So construction companies needed to make continuous efforts to enhance the business performance through TQM approach.

• Journal of the Korean Operations Research and Management Science Society
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• v.36 no.1
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• pp.13-26
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• 2011

In order to explain the U-shaped pattern of autocorrelations of stock returns i.e., autocorrelations starting around 0 for short-term horizons and becoming negative and then moving toward 0 for long-term horizons, researchers suggested the use of a state-space model consisting of an I(1) permanent component and an AR(1) stationary component, where the two components are assumed to be independent. They concluded that auto-regression coefficients derived from the state-space model follow a U-shape pattern and thus there is mean-reversion in stock prices. In this paper, we show that only negative autocorrelations are feasible under the assumption that the permanent component and the stationary component are independent in the state-space model. When the two components are allowed to be correlated in the state-space model, we show that the sign of the auto-regression coefficients is not restricted as negative. Monthly return data for all NYSE stocks for the period from 1926 to 2007 support the state-space model with correlated noise processes. However, the auto-regression coefficients of the ARIMA process, equivalent to the state-space model with correlated noise processes, do not follow a U-shaped pattern, but are always positive.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.1
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• pp.921-924
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• 2005

Embodid Community web application program preservation, damage control and resuability uses EJB component that is high breakup object system than existent model 1 web program. Web programs that is in existing hard to exist on course which UI logic is same with business logic and do maintenance and resuability. But, improved resuability of business separating business logic and UI logic by different machine embodying program to use component. Minimizes Teuranjeksyeon and Paeilobeo and embodied in stabler program than existing by using EJB component.

• The Journal of Industrial Distribution & Business
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• v.13 no.10
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• pp.1-8
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• 2022

Purpose: Support vector machines (SVMs) ensemble has been proposed to improve classification performance of Credit risk recently. However, currently used fusion strategies do not evaluate the importance degree of the output of individual component SVM classifier when combining the component predictions to the final decision. To deal with this problem, this paper designs a support vector machines (SVMs) ensemble method based on fuzzy integral, which aggregates the outputs of separate component SVMs with importance of each component SVM. Research design, data, and methodology: This paper designs a personal credit risk evaluation index system including 16 indicators and discusses a support vector machines (SVMs) ensemble method based on fuzzy integral for designing a credit risk assessment system to discriminate good creditors from bad ones. This paper randomly selects 1500 sample data of personal loan customers of a commercial bank in China 2015-2020 for simulation experiments. Results: By comparing the experimental result SVMs ensemble with the single SVM, the neural network ensemble, the proposed method outperforms the single SVM, and neural network ensemble in terms of classification accuracy. Conclusions: The results show that the method proposed in this paper has higher classification accuracy than other classification methods, which confirms the feasibility and effectiveness of this method.

• The Journal of Society for e-Business Studies
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• v.9 no.3
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• pp.129-144
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• 2004

CASE tools supporting component based development should include functions for modeling, project management, and supporting other phases activities of the development process. Functional requirements of CASE tools supporting component based development are proposed in this paper. Required functions are identified by analyzing the existing CBD CASE tool, and are categorized into modeling, project management, and supporting other phases activities.