• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.733-744
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• 2016

The legacy methods for converting a business model to a feature model make it difficult to support an automatic transformation due to a dependence on a domain analyzers' intuitions, which hinders the feature oriented development for the integration of feature modeling in business modeling. This paper proposes a method for converting a BPMN business model into a feature model based on syntax. To allow the conversion between the heterogeneous models from BPMN to the FM(Feature Model), it defines the grouping mechanism based activities' syntax, and then makes translation rules and a method based on the element (represent business function) and structure (relationships and process among elements), which are common constructs of their models. This method was applied to an online shopping mall system as a case study. With this mechanism, it will help develop a mechanical or automated structure transformation from the BPMN model to the FM.

• The KIPS Transactions:PartD
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• v.9D no.4
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• pp.667-676
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• 2002

Digital environment that is represented to Internet is displacing business way of industry and business achievement way with the fast speed being giving great change on life whole. Improve existent business process utilizing Internet and Web connection technology, information superhighway to tradition industrialist manufacturer and e-Transformation's propulsion that wish to maximize productivity and administration efficiency is spread vigorously. In this paper, administration efficiency raising of Web-based factory monitoring system to do monitoring when everywhere integrating operation present condition current point of time of discrete factories in inside and outside of the country by purpose design and implemented. That is, do to normalize system structure and achievement function, and administration data of Web-based, and design using VML (Unified Modeling Language) and take advantage of ASP (Active Server Pages) and implemented web function. Implemented Web-based factory monitoring system is applying two factory (Kl, K2) of K CO., LTD. tire operation division to caravan, and application result was evaluated by very efficient thing to grasp operation situation of whole factory synthetically.

• The KIPS Transactions:PartD
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• v.9D no.4
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• pp.619-628
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• 2002

Reusable software component is an ultimate goal for the software development. Component based development is focused on advanced concepts rather than passive manipulation or class library with source codes. However, the primary component construction in component based development lead to an additional development cost and effort for reconstructing the new software component within a component model. Java application provides several features based on component model. But, we only have an opportunity to develop the smallest reuse units or the restricted set of GUI components. It cannot contributed as a component and only used in the specific domain component with high cost and efforts. In this paper, we apply java component model to the existing java application and extract javabeans through extending the component scalability. We also discuss the algorithm for transformation mechanism from legacy class to javabeans with a partial of business logic.

• The KIPS Transactions:PartC
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• v.13C no.7 s.110
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• pp.851-858
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• 2006

The risk analysis's aim is analyze the risk for the asset of organization with asset assessment, vulnerability assessment, threat assessment. existing TTA risk analysis methodology model propose to overall flow, but can not propose to detail behavior or each level. That is, step of risk analysis is insufficient in classification of threat and detail proposal of considered the risk with classified threat. So this paper propose that analysis and evaluate the vulnerability and threat assessment with determinated quantity. this paper consider current national information system and threat of environment and technology. So can estimate the risk with determinated quantity. Finally, analyze the asset risk of organization.

• The KIPS Transactions:PartD
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• v.13D no.5 s.108
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• pp.749-754
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• 2006

Recently, many enterprises are introducing information systems for their competitive advantages. For enhancing the utilization level of enterprise information system, it is quite important to monitor the usage states of the information systems continuously. However, most enterprise information systems lack this functionality. Proposed in this paper is the framework of IAM (Information Activity Monitoring), which is defined as real-time reporting and alerting of significant information-related activities. This IAM framework provides 4 different views about the information system (data, IT system, business process, and participant) and is implemented as a part of integrated design/manufacturing information system developed by aerospace parts manufacturer. By using the IAM function, IT personnel can monitor significant information-related activities systematically and feedback to their users timely, and ultimately enhance the utilization level of information system.

• The KIPS Transactions:PartC
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• v.10C no.4
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• pp.423-432
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• 2003

It is essential suity management and standardized asset analysis for telecommunication networks, however existing risk analysis methods and tools are not enough to give shape of the method to evaluate value and asset. they only support asset classification schemes. Moreover, since the existing asset classification schemes are to evaluate comprehensive general risk, they are not appropriate for being applied telecommunication networks and they can´t offer any solutions to an evaluator´s subjectivity problem. In this paper, to solve these problems, we introduce the standardized definition of asset evaluation model new asset classification scheme, two-dimensional asset process classification scheme to consider business process and asset, various evaluation standards for quantitative value and qualitative evaluation. To settle an valuator´s subjectivity problem, we proposed $\beta$-distribution Delphi method.

• Journal of Internet Computing and Services
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• v.14 no.2
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• pp.25-34
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• 2013

In this paper, we propose an activity-performer bipartite matrix generation algorithm for analyzing workflow-supported human-resource affiliations in a workflow model. The workflow-supported human-resource means that all performers of the organization managed by a workflow management system have to be affiliated with a certain set of activities in enacting the corresponding workflow model. We define an activity-performer affiliation network model that is a special type of social networks representing affiliation relationships between a group of performers and a group of activities in workflow models. The algorithm proposed in this paper generates a bipartite matrix from the activity-performer affiliation network model(APANM). Eventually, the generated activity-performer bipartite matrix can be used to analyze social network properties such as, centrality, density, and correlation, and to enable the organization to obtain the workflow-supported human-resource affiliations knowledge.

• Journal of Korea Multimedia Society
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• v.16 no.3
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• pp.399-409
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• 2013

The development of IT has led to increase the business's dependence on IT and the interests of enterprises on IT governance. Also, more enterprises have adopted managed services to save operating costs in IT departments and to maximize their business efficiency. However, until recently, there are very few academic as well as practical researches regarding managed services, IT service effectiveness, IT governance and their interrelations. This study analyzes the effects of managed services on IT governance based on the IT-BSC (Balanced Scorecard) model. Using the expert FGI (Focus Group Interview) and survey, the research results present that managed services have the most significant effect on the user-oriented and the operational efficiency in enterprises. Also, managed services through the business process standardization can improve the IT governance more effectively. This study will be a relevant guideline for enterprises that will adopt managed services.

• Journal of the Korea Society of Computer and Information
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• v.7 no.1
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• pp.161-173
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• 2002

The increasing disposable time through advancing information has come to make the tourism industry as well as the information communication industry glow in the 21st century We cannot make rational decision without proper guide information. It is impossible to anticipate tourism Products which are invisible products consisting of a variety of basic combinations of products. Tourists are getting dissatisfied with tourism experts' distorted guidance every year. A recent survey shows that the current tourism information system can't meet the need of tourists who are informative and individualized. This paper presents tourism information system that offers the most appropriate tour courses depending on the tastes of tourists by utilizing expert system, artificial intelligent applied technology. This paper is the first attempt to maximize comsumer satisfaction by developing the intelligent agent system that is able to reflect the traits of individualized customers' in the tourism industry The establishment of this system will contribute to activating the tourism industry, ultimately, by decreasing inconveniencies and tour schedules appropriate to the purpose of individual tours.

• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.149-156
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• 2020

In the Fourth Industrial Revolution, successful cases using big data in various industries are reported. This paper examines cases that successfully use big data in the medical industry to develop the service and draws implications in value that big data create. The related work introduces big data technology in the medical field and cases of eight innovative service in the big data service are explained. In the introduction, the overall structure of the study is mentioned by describing the background and direction of this study. In the literature study, we explain the definition and concept of big data, and the use of big data in the medical industry. Next, this study describes the several cases, such as technologies using national health information and personal genetic information for the study of diseases, personal health services using personal biometric information, use of medical data for efficiency of business processes, and medical big data for the development of new medicines. In the conclusion, we intend to provide direction for the academic and business implications of this study, as well as how the results of the study can help the domestic medical industry.