• Journal of KIISE:Computing Practices and Letters
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• v.13 no.5
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• pp.271-281
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• 2007

Real-time support of embedded OS is not optional, but essential in contemporary embedded systems. In order to achieve these system#s real-time property, it is crucial that schedulability analysis for tasks having its property have been accomplished before system execution. Acquiring Worst-Case Execution Time(WCET) of task is a core part of schedulability analysis. Because traditional WCET tools analyze only its estimation of application task(i.e. program), it is not considered that application tasks are affected by scheduling primitives(e.g. scheduler, interrupt service routine, etc.) of OS when it schedules them. In this paper, we design and implement WCET analysis tool which deliberates on scheduling primitives of system using embedded Linux widely used in embedded OSes. This tool can estimate either WCET of normal application programs or corresponding primitives which have an influence on schduling property in embedded Linux kernel. Therefore, precision of estimation about schedulability analysis is improved. We develop this tool as Eclipse#s plug-in to work properly in any platform and support convenient interface or functionality for user.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04c
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• pp.106-108
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• 2003

본 논문에서는 기존에 구현된 CASE(Computer Aided Software Engineering) 도구인 OODesigner 에 OLE/COM 기술을 이용하여 복합문서 지원 기능을 추가로 구현한 연구 결과에 대하여 논한다. OLE 컨테이너 기능을 구현함으로써 OODesigner는 다른 소프트웨어에 의해 만들어진 문서 객체를 포함하여 복합문서를 작성할 수 있다. 본 연구의 결과로 구현된 복합문서 지원 기능을 갖는 OODesigner는 윈도시스템에서 실행되는 각종 응용 프로세스와 상호 협동 작용을 하며 수행될 수 있기 때문에 기존의 CASE 도구가 지원하지 못하는 유용한 문서화 기능을 제공할 수 있다. 즉 객체 지향 관련 설계 문서의 내용을 OODesigner로 편집함과 동시에 OLE 기능을 지원하는 각종 서버 소프트웨어를 연결하여 수행함으로써 일관성 있고 편리한 문서화 작업을 수행할 수 있다.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2001.10a
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• pp.355-359
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• 2001

In this study, experiments were carried out to investigate the characteristics of grinding and wear process of diamond wheel grinding ceramic materials. Normal component of grinding resistance of $AI_2O_3$ was less then that of $Si_3N_4$ and $ZrO_2$. It is because the resistance for grain shedding is less then that for layer formation. For the case of $Si_3N_4$ and $ZrO_2$, as the grain mesh number of wheel increases, the surface roughness decreases. For the case of $AI_2O_3$, the surface roughness does not decreases. For the case of $Si_3N_4$ and $ZrO_2$, grinding is carried out by abrasive wear processes. For the case of $AI_2O_3$, grinding is carried out by grain shedding process.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2000.05a
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• pp.812-815
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• 2000

Injection molding process was taken to manufacture DC motor case that surrounds DC motor used as automobile parts. Up to now, DC motor case has been made by the deep drawing process or bending process of metal materials. Simulations of filling, packing and cooling processes were done by CAE tool like Moldflow software. Optimal delivery system was decided from the analysis of flow balance, and packing and cooling analyses were performed by using the design of experiment to minimize the volumetric shrinkage of molded part and the temperature difference between mold and part.

• Research in Mathematical Education
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• v.11 no.1
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• pp.65-74
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• 2007

The algorithmic idea has been a kind of necessary mathematics quality for modern people in this information society. In China the algorithm was represented fully as one of the new mathematics contents in the secondary level for the first time when The Standards of Mathematics Curriculum for the Senior High School was promulgated in 2003, so the research about the teaching algorithm undoubtedly has its practical implications for mathematics education. In this paper, with the conceptual framework of The Mathematics Task Framework as the research tool, an algorithmic teaching case based on LOGO software was introduced in detail, and data by ways of observations, interviews and worksheets were collected, then the case was analyzed. The results showed that the teaching of algorithm is feasible and effective in the LOGO environment. Some beneficial implications about the instructional design of algorithm were also discussed.

• Journal of Engineering Education Research
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• v.19 no.2
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• pp.8-13
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• 2016

This paper is concerned with the development case of CEA(Course-Embedded Assessment) design tool for engineering education accreditation operations department for CEA system implemented. Each university or programs are already devoting efforts to build research and CEA system for CEA applied to. In order to effectively apply the CEA studies for each program it is required and particularly, the preferred way to build an operating system is considered a difficult situation of the course unit. Therefore, this case study and to propose a method and procedures required to assessment the design basis for curriculum and program assessment unit in terms of the applicability of CEA, proposes a virtual application results. The information proposed in this case study is determined that could be used in the design for the outcomes and assessment of a variety of programs as one of the steps to build the CEA systems.

• Proceedings of the Korean Information Science Society Conference
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• 2000.04a
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• pp.522-524
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• 2000

본 연구에서는 통합 멀티미디어 통신시스템을 구축하기 위한 CASE 도구의 개발에서 시스템 구축에 필요한 객체를 설계, 확장하거나, 설계된 객체의 재사용성을 높이기 위한 방안으로 패턴지향형정보저장소를 설계하였다. 그리고 시스템 구축에 필요한 객체의 재사용시 중복성을 피하며 복잡도를 감소시키기 위해 CASE 도구의 설계단계에서 객체를 통합관리/이용할 수 있도록 하고, 재사용에 필요한 객체를 패턴화하여 저장함으로써 저장소의 재사용 효율성을 증가시킨다. 따라서 본 연구에서는 정보저장소에 저장된 패턴-객체의 재사용시 유지보수 비용을 감소시키고 멀티미디어의 특성을 수용할 수 있도록 표준화된 단일 패턴-객체와 이를 이용한 복합 패턴-객체로 확장 가능하도록 혼합형 정보저장소를 설계하였다.

• Journal of the Korea Institute of Building Construction
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• v.12 no.5
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• pp.518-527
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• 2012

This study uses a hybrid estimation tool for effective cost data management of building projects, and develops a realistic cost estimation model. The method makes use of newly available information as the project progresses, and project cost and percentage progress are analyzed and used as inputs for the developed system. For model development, case-based reasoning (CBR) is proposed, as it enables complex nonlinear mapping. This study also investigates analytic hierarchy process (AHP) for weight generation and applies them to a real project case. Real case studies are used to demonstrate and validate the benefits of the proposed approach. By using this method, an evaluation of actual project performance can be developed that appropriately considers the natural variability of construction costs.

• Journal of Navigation and Port Research
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• v.31 no.9
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• pp.793-799
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• 2007

The effect of seasonal wind on the tidal circulation in Jeju harbor was examined by using a numerical shallow water model. A finite element for analyzing shallow water flow is presented. The Galerkin method is employed for spatial discretization. Two step explicit finite element scheme is used to discretize the time function, which has advantage in problems treating large numbers of elements and unsteady state. The numerical simulation is compared with three cases; Case 1 does not consider the effect of wind, Case 2 and Case 3 consider the effect of summer and winter seasonal wind, respectively. According to result considering effect of seasonal wind, velocity of current vector shows slightly stronger than that of case 1 in the flow field. It can be concluded that the present method is a useful and effective tool in tidal current analysis.

• The Journal of Korean Academic Society of Nursing Education
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• v.29 no.3
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• pp.234-246
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• 2023

Purpose: This study aimed to develop a case-based nursing education program using generative artificial intelligence and to assess its usability and applicability in nursing curriculums. Methods: The program was developed by following the five steps of the ADDIE model: analysis, design, development, implementation, and evaluation. A panel of five nursing professors served as experts to implement and evaluate the program. Results: Utilizing ChatGPT, six program modules were designed and developed based on experiential learning theory. The experts' evaluations confirmed that the program was suitable for case-based learning, highly usable, and applicable to nursing education. Conclusion: Generative artificial intelligence was identified as a valuable tool for enhancing the effectiveness of case-based learning. This study provides insights and future directions for integrating generative artificial intelligence into nursing education. Further research should be attempted to implement and evaluate this program with nursing students.