• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.17 no.2
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• pp.227-234
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• 2019

A user-friendly modeling interface is developed for a process-based total system performance assessment framework (APro) specialized for a generic geological disposal system for high-level radioactive waste. The APro modeling interface is constructed using MATLAB, and the operator splitting scheme is used to combine COMSOL for simulation of multiphysics and PHREEQC for the calculation of geochemical reactions. As APro limits the modeling domain to the generic disposal system, the degree of freedom of the model is low. In contrast, the user-friendliness of the model is improved. Thermal, hydraulic, mechanical and chemical processes considered in the disposal system are modularized, and users can select one of multiple modules: "Default process" and multi "Alternative process". APro mainly consists of an input data part and calculation execution part. The input data are prepared in a single EXCEL file with a given format, and the calculation part is coded using MATLAB. The final results of the calculation are created as an independent COMSOL file for further analysis.

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.31 no.1
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• pp.43-54
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• 2021

This work proposes a process to derive elements of emotional materials based on trend research in the application of materials in product development. It was intended to be applied to the development of a case model, a Korean sports wheelchair, and focused on the material portion of CMF-based research. Through research methodologies such as megatrends, competitor product and part-by-part analysis, and psychological color analysis, we studied optimization, verification, and DBization of materials, and drew the final application plan through FGI verification.

• Convergence Security Journal
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• v.16 no.5
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• pp.73-79
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• 2016

EPG (Electronic Program Guide), which shows the title, broadcasting time, genre, parental rating of a program, is recognized as one of the most successful data service by viewers and broadcasting stations, who want an improved TV watching experience and a more fruitful profit model, respectively. In the circumstance, the request for the development or renewal of EPG frequently occurs and so the developers are looking for ways to improve the efficiency of the EPG development. This paper addresses the need of the developers by devising an EPG feature model based on FODA (Feature-Oriented Domain Analysis) and the testcases of each feature of the model. By utilizing the EPG feature model and the testcases, the tasks of requirement analysing and testcase designing, which are major tasks of the EPG development process, can be improved.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.315-320
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• 2008

Construction industry have been occurred to the various demand of information. Also information quantity is increasing therefore, The role of information systems is important. Recently PMIS, an efficient decision-making support instrument of construction industry, is applied to various projects. However, its utility is still not enough. So this study suggests the concept model on the basis BIM to settle such a problem. Building the Pilot System was based on this study, and present the direction from Advanced PMIS.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.338-342
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• 2006

최근 들어 수자원관리에 있어서도 다양한 이해당사자의 참여 요구가 증가하고 있으며, 수자원과 함께 생태, 환경, 사회, 경제적인 요소의 고려도 요구되고 있다. 이에 부응하기 위하여 수자원관리자들은 통합수자원관리의 실현을 위한 많은 노력을 기울이고 있다. 본 연구에서는 통합수자원관리에 필요한 지식관리시스템(www.water21.net)을 구축하였다. 수자원 통합지식관리시스템에서는 지식을 구조화/체계화하기 위하여 관리계획의 준비, 모델의 구성, 계획의 수립, 계획의 평가 등 4단계로 구성된 프로세스 온톨로지(Ontology)를 개발하고 적용하였으며, 수자원관련 지식의 효율적인 유통체계를 구축하기 위하여, 물 관련 지식의 허브 역할을 수행할 수 있는 버퍼 개념을 도입하고, 지식제공자들과 '물관련 지식공유협약'의 체결을 추진하고 있다. 통합수자원관리에는 다양한 이해당사자의 참여와 생태, 환경, 사회, 경제적 요소에 대한 고려가 필요하다. 하지만 이를 실현하기 위해서는 많은 시간과 비용이 소요된다. 본 연구에서 개발된 수 자원통합 지식관리시스템은 사용자들에게 물관련 정보를 빠르고 체계적으로 제공함으로써 이에 소요되는 시간과 비용을 줄여줄 것이다. 또한 국가적으로는 물관련 분야의 지식기반을 구축하는데 기여하게 될 것이다.

• Journal of the Korea Computer Industry Society
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• v.5 no.1
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• pp.19-28
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• 2004

The major problems in workflow system which controls business process arise with the difficulty of managing a vast volume of data. In this paper, a more reasonable method to manage workflow data is proposed after analyzing the data being used in workflow system. The data used in workflow system can be classified to model data, control data, workitem data and relevant data. The prime accent is placed on the workflow model data, as the model data is normally consistent and referenced more frequently that if the data is used efficiently, it is anticipated to give a good performance to workflow system. Relying on an intensive study, this paper designs and develops a model data system. This model data system is based on memory and manages versions, consistency, dynamic modification, and etc

• Journal of Korea Multimedia Society
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• v.8 no.5
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• pp.715-720
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• 2005

In a software development process, it is necessary to have a method which verifies and satisfies users' requirements in their point of view. This allows the system developer to design a high qualify software system and have it developed and used in an effective way since users' requirements have well been shown through it. In this paper, we propose the RV-UI model system that can verify users' requirements a step ahead of system implementation step. This RV-UI model system has standardized user interface which is in practical use into functional model for each process and it is designed to satisfy users' requirements and manage configuration of them through the interface which has the Kano model.

• The Journal of Society for e-Business Studies
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• v.24 no.2
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• pp.165-178
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• 2019

In an environment transformed by smart factories, measuring the current level of the manufacturing system, deriving improvement targets and tasks and increasing the level of manufacturing competitiveness become the basic activities of the company. However, research on the component analysis and maturity assessment to ensure the future competitiveness of the company is in progress and in the early stages. This study analyzed the existing research on various models, development process, and framework for manufacturing system. In addition, we designed a structural model by deriving the components of future manufacturing system through smart factory related maturity assessment studies. We designed a meta-model that includes an assesment model and a transformation model, and derived the framework development process to propose an integrated framework for the maturity assessment of the future manufacturing system. We verified it by applying it into an actual evaluation project of smart factory.

• Journal of the Korea Society of Computer and Information
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• v.28 no.4
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• pp.21-29
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• 2023

In this paper, we propose an AI-based system for automatically classifying industry and occupation codes in the population census. The accurate classification of industry and occupation codes is crucial for informing policy decisions, allocating resources, and conducting research. However, this task has traditionally been performed by human coders, which is time-consuming, resource-intensive, and prone to errors. Our system represents a significant improvement over the existing rule-based system used by the statistics agency, which relies on user-entered data for code classification. In this paper, we trained and evaluated several models, and developed an ensemble model that achieved an 86.76% match accuracy in industry and 81.84% in occupation, outperforming the best individual model. Additionally, we propose process improvement work based on the classification probability results of the model. Our proposed method utilizes an ensemble model that combines transfer learning techniques with pre-trained models. In this paper, we demonstrate the potential for AI-based systems to improve the accuracy and efficiency of population census data classification. By automating this process with AI, we can achieve more accurate and consistent results while reducing the workload on agency staff.

• 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.