• Journal of the Korea Computer Industry Society
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• v.3 no.12
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• pp.1697-1712
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• 2002

Unified Modeling Language (UML) is a standard language for specifying, visualizing, constructing, and documenting the artifacts of software systems. It simplifies the complex process of software design, making a blueprint for construction. In this paper, we apply automated application generation tools such as Rational Rose and BizWiz to a realistic cyber shopping mall and then compare and analyze them in the view of UML. We also propose some methods for the systematic system analysis, design, and implementation by applying UML to a customer management system based on above results.

• Journal of the Korean Society of Systems Engineering
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• v.7 no.1
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• pp.53-56
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• 2011

Configuration management plays a key role in systems engineering process for any project from earlier stage of development. It consists of five major activities, ie., configuration management planing, configuration identification, configuration control, configuration status accounting and configuration verification and audit, and is essential to control system design, development and operation throughout entire life cycle of the system development. And it is directly associated with other part of systems engineering management process, ie., technical data management which provides traceability of important decisions and changes during development. In this paper, we describe how to apply CASE(Computer-aided Systems Engineering) tool-Cradle for the configuration management to achieve effectiveness of Technical Management process.

• Proceedings of the KIEE Conference
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• 2001.07b
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• pp.1220-1222
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• 2001

We proposed a modularization design technique for implementing software of on-board train control system. We already proved the efficiency of CASE Tool(SCADE) for safety critical software design. The several functions of train are implemented on CASE tool each modules. We divided functions of train into modules based on the modularization design. We used MATLAB for design of on-board train control software. We proved that this technique is more useful for the software design of on-board train control for EMU.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.04a
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• pp.610-614
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• 1996

In machining muliple components fixed on the same pallet of a NC machine, it is very important to minimize the total time required to finish the machining by carefully determining the component layout on the pallet, and the tool path of NC machine, and the sequence of tools to be used. In this paper, a linear integer programming model is presented to obtain an efficient layout; and a two-phased heuristic algorithm is proposed to minimize the total time for machining multiple components. Numerical examples are given for the case of identical components and nonidentical components, respectively. The result of either case shows significant reduction of 7.2~15.0% in the total time required to finish the machining.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2000.04a
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• pp.726-733
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• 2000

In this article, we introduce a practical case study of the structural design improvement for a vertical machining center. During test operations, it have experienced excessive deflections and vibrations due to the fluctuating forces generated by the ball-screw thrust motor. At first we did investigate where and how much deflections and vibrations had been brought about on it. Next we made some possible structural design alternatives. It is a matter of course to compare finite element static and dynamic analysis results of both the original design and alternatives. Fortunately we have been able to find out a good one among those alternatives.

• Journal of the Korea Safety Management & Science
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• v.15 no.1
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• pp.249-258
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• 2013

Data Envelopment Analysis (DEA) is a useful tool to analyze the relative efficiency of decision making units (DMU) characterized by multiple inputs and multiple outputs. This method has been popularly used as an analytical tool to suggest some strategic improvement. To do this, the results of DEA provide decision makers with a single efficiency score, efficient frontier, return to scale, benchmarking decision making units, etc. The purpose of this paper is to evaluate research performance of 38 universities and provide an inefficient university with the way of organizational changes to be an efficient university by using DEA. Various input and output variables are used to identify technical and scale inefficiency. Additionally, we analyze how an inefficient DMU could be changed an efficient DMU based on a case university. This result will give an insight of constructive directions for increasing of research performance to university decision makers.

• IE interfaces
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• v.23 no.4
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• pp.275-285
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• 2010

In complex industrial world, many companies make every effort to analyze their competition capability through various performance evaluation tools to cope with rapidly changing business environment. Among evaluation tools the balanced scorecard (BSC), put forward by Kaplan and Norton in 1992, is a strategic performance management tool for measuring whether the smaller-scale operational activities of a company are aligned with its larger-scale objectives in terms of vision and strategy. The BSC tool offers a comparative advantage over others to evaluate the objective achievement of a company by linking its strategic objectives with operational KPI. In this paper, we introduce a case that the BSC performance evaluation system was implemented based on product data management and applied it to the business process. Specially, we shows a implementation procedure to derive discipline-specific topics and key performance metrics.

• The Journal of Korean Medicine
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• v.45 no.1
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• pp.225-232
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• 2024

Objectives: The purpose of this case study was to report the effect of Chuna therapy include Space Spinal Conduction Exercise and Manipulation Treatment for Functional dyspepsia patients. Methods: A 32-years-old male patients with functional dyspepsia visited the clinic ten times from March 17th 2023 to April 22th 2023. To assess the treatment outcomes, we used the Standard tool for pattern identification of Functional dyspepsia and Nepean Dyspepsia Index-Korean version (NDI-K) symptom score. Result: After treatment, Standard tool for pattern identification of Functional dyspepsia and Nepean Dyspepsia Index-Korean version (NDI-K) score decreased. Conclusion: Chuna therapy include Space Spinal Conduction Exercise and Manipulation Treatment was effective in the treatment of patient with Functional dyspepsia.

• Transactions of the Korean Society of Mechanical Engineers
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• v.16 no.7
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• pp.1266-1277
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• 1992

In the machining processes, the tool chipping are known to be the most dangerous when the variation of end of tool edges is largest. Therefore, chipping has been caused by the stress distribution in the moment of cutting. In this study, in order to predict the shapes of tool chipping with the tool shapes and the cutting conditions, the premier chipping shapes of involute cutter iss predicted by the stress distribution value of cutting edges and it is verified by the experiments. The growth behavior of the tool chipping is considered through the experiment of gear cutting and in case of evaluation of specific cutting energy in the proper machining conditions through the simulation result, it can be known that the prediction of cutting force is possible accurately.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1997.04a
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• pp.1038-1043
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• 1997

To adapt the neural network proess for the purpose of determination of optimal utting onditions (optimal cutting speed and feed rate), some selection strategies for the machining factors are necessary, which is considered planning cutting process. In this case, factors that have both nonlinearity and strong relationship must be selected. Although tool grade and chemical properties of workpiece material have strong effect to cutting speed, it's not easy to find a analytic relation between them. In this paper, a mathematical method for determining the optimal amount of cutting (depth of cut, feed rate) is presented by tool goemetry and heat generation during cutting process. And various tool grade and workpiece material groups ase classified based on its chemical properties. Thier chemical composition and hardness are used as input pattern for neural network learnig. The result of learning shows the relationship between tool grade and workpiece material and it is proved that it can be used as a sub-system for automatic process planning system.