• Journal of Information Processing Systems
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• v.2 no.2
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• pp.130-134
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• 2006

In the distributed replicating server model, the provision of replicated services will improve the performance of the providing service and efficiency for clients. Efficiently composing the server selection algorithm decreases the retrieval time for replicated data. In this paper, we define the system model that selects and connects the replicated server that provides an optimal service using the server-side downstream measurement and propose a server selection algorithm.

• Proceedings of the Korean Society for Quality Management Conference
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• 2006.11a
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• pp.73-78
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• 2006

In Modern Industrial Society, Service industry are became more important and larger. It is necessary in Serve industry that Service Quality system(SQS) which is as like Total Quality Management system. In this appaer, we propose Service Quality System Model which is compose Monitoring-Analysis-Validate-Improve-Control(MAVIC). Specially Monitoring-Analysis are measured and analysis by using SERVQUAL model.

• IE interfaces
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• v.11 no.3
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• pp.227-240
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• 1998

This article presents a model for Intelligent Groupware Systems(IGS). The model is concerned not just with a future framework, but attempts to integrate many technologies into the framework. In order to do so, first of all it identifies essential technologies to improve the performance of the components in the model in terms of task-independent technologies(TIT) and task-dependent technologies(TDT). The former mainly consists of current technologies, which is under progress, being able to affect the groupware performance greatly. On the other hand, the latter is closely related to the knowledge depending on application systems. Fianlly, it presents these potential technologies which will be required for the IGS.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.331-334
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• 1996

It is a well-known problem that the adaptive control has a poor transient response. In order to improve this problem, the scheme that model-reference adaptive control (MRAC) uses the genetic algorithm (GA) in the search for parameters is proposed. Use genetic algorithm (GA) in the searching for controller's parameters set and conventional gradient method for fine tuning. And show the reduction of the oscillations in transient response comparing with the conventional MRAC.

• 제어로봇시스템학회:학술대회논문집
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• 1991.10a
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• pp.584-588
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• 1991

This paper presents a fuzzy adaptive controller which can improve the control policy automatically. Adaptation is achieved by the addition of on-line identification of the fuzzy inverse model using input-output data pairs of the process. Starting with an initial crude control rule, the adaptive controller matches the model to the process to self-tune the controller. The control algorithm needs much less memory of computer than other SOC algorithms.

• Transactions of the Korean Society of Mechanical Engineers
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• v.11 no.4
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• pp.663-667
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• 1987

The conventional model of the heat engine involves the inconsistency with the real engine that the power becomes to be zero at the maximum effectiveness condition. In order to improve this defect, a new model of the heat engine is proposed, in which the heat loss from the heat source is taken into account. In accordance with this model, both the power and effectiveness have their respective extremum with respect to operating conditions, and the effectiveness always becomes to be zero when the power is zero.

• Journal of Institute of Control, Robotics and Systems
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• v.8 no.10
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• pp.833-841
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• 2002

We develope a model that can manipulate the reflux ratio of a batch distillation process in real time for optimal operations. Firstly, reflux ratio decision model for batch distillation unit was developed using the simple short-cut method. Secondly, more detailed rigorous method was applied to improve the accuracy of the model. Based on these models, operational strategies for the optimal reflux ratio was proposed. The results are illustrated with suitable examples and compared with the results using commercial simulator.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.37 no.12
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• pp.884-893
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• 1988

Adaptive controllers for linear unknown coefficient system, that is corrupted by disturbance, are designed by parameter adaptation model reference adaptive control(MRAC). This design is stemmed from the Lyapunov direct method. To reduce the model following error and to improve the convergence rate of the design, an indirect-suboptimal control law is derived. Proper compensation for the effects of time-varying coefficients and plant disturbance are suggested. In the design procedure no complete identification of unknown coefficients are required.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1996.11a
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• pp.189-193
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• 1996

Piezoelectric actuator is widely used in precision positioning applications due to its excellent positioning resolution. However, serious hysteresis nonlinearity of the actuator deteriorates its open loop positioning capability. Generally, a nonlinear hysteresis model is used in feedforward loop to improve positioning accuracy. In this study, however, a simple lead compensator is proposed as a substitution for a complex nonlinear hysteresis model and tested through experiments for precision position control.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2003.11a
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• pp.1067-1072
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• 2003

Generally dual mass flywheel(DMF) is used as a solution to reduce noise and vibration of power train system and to improve the comfortability of passenger car. In this paper, design concept of new DMF model, analytical/numerical model, test procedure and tuning results are presented. Design parameters are studied by some numerical methods and tests. As the result, we can find more efficient model of DMF and reduce vibration level in power train system.