• Journal of the Korean Society for information Management
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• v.16 no.1
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• pp.89-117
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• 1999

(1) structure of writings, (2) construction of paragraphs. (3) structure of sentences, (4) use of words were most important things on local information composition. To be expertise system, the Knowledge-base had the writing frames for essay structure and paragraph frames for construction of paragraph. To refer to the clause and sentence structure and to the use of words, Example dictionaries were offered. It is necessary to make nore precise rule for (1) extracting subject name of the frames and (2) making representative word of sentences for advanced system in the future.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.177-180
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• 1996

Fuzzy control systems depend on a number of parameters such as the shape or magnitude of the fuzzy membership functions, etc. Conventional fuzzy reasoning method can not be easily applied to the multi-input multi-output(MIMO) system due to the large number of rules in the rule base. Recently Z. Cao et al have proposed a New Fuzzy Reasoning Method(NFRM) which turned out to be superior to Zadeh's FRM. We have extended the NFRM to handle the MIMO system. However, it is difficult to choose a proper relation matrix of the NFRM. Therefore, we have modified the evolution strategy(ES), which is one of the optimization algorithms, to do efficiently the tuning operation for the extended NFRM. Finally we applied the extended NFRM with the modified ES to tracking control of robot manipulator.

• Research in Community and Public Health Nursing
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• v.8 no.1
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• pp.21-30
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• 1997

The purpose of the study is to establish the nurses engaged in blood donation business right cognition and supply base data to make out proper directed blood donation rule through investigation of actual condition and general issue related to directed blood donation. In this study I searched for related reference and computed the directed blood donors in seoul national university hospital blood bank. The directed blood donation in Korea have been increased for supplying fresh whole blood and plateletpheresis donor blood. The most blood donation in the blood bank belong to hospital are directed blood donation. The benefits of directed blood donation are enlargement blood donor, easy insurance a demand type of blood. But that program also give rise to recipient severe burden, additional cost and confused blood donation system. First of all for lessening the burden of the recipient and the directed blood donor, blood donation site, time, cost and procedure must be repared by proper rules. An alternative plans for the directed blood donation are autologous blood program and donor registration system.

• Proceedings of the KIEE Conference
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• 1999.07b
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• pp.507-509
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• 1999

In this paper, we propose a new fuzzy model identification method that can yield a successful fuzzy rule base for fundamental approximations. The method in this paper uses a set of input-output data and is based on a hybrid messy genetic algorithm (mGA) with a fine-tuning scheme. The mGA processes variable-length strings, while standard GAs work with a fixed-length coding scheme. For successfully identifying a complex nonlinear system, we first use the mGA, which coarsely optimizes the structure and the parameters of the fuzzy inference system, and then the gradient descent method which tine tunes the identified fuzzy model. In order to demonstrate the superiority and efficiency of the proposed scheme, we finally show its application to a nonlinear approximation.

• Journal of Electrical Engineering and Technology
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• v.5 no.3
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• pp.415-422
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• 2010

The distributed flexible alternative current transmission system (D-FACTS) is a recently developed FACTS technology. Distributed Static Series Compensator (DSSC) is one example of DFACTS devices. DSSC functions in the same way as a Static Synchronous Series Compensator (SSSC), but is smaller in size, lower in price, and possesses more capabilities. Likewise, DSSC lies in transmission lines in a distributed manner. In this work, we designed a fuzzy logic controller to use the DSSC for enhancing transient stability in a two-machine, two-area power system. The parameters of the fuzzy logic controller are varied widely by a suitable choice of membership function and parameters in the rule base. Simulation results demonstrate the effectiveness of the fuzzy controller for transient stability enhancement by DSSC.

• Proceedings of the KSR Conference
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• 2009.05a
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• pp.360-364
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• 2009

To verify the suitability of the Railroad safety requirements analysis, the actions of the function which it follows in a given operation condition are composed of the rule model or the state model. And it test must be possible. The subject of condition transfer in compliance with the transfer condition which is an event of system it will be able to accomplish the operation of system. However, tasks allocated to the actor are the duty which is added in organization. This time, the start of duty task is started in compliance with an external or internal condition. If there are 9 tasks which have one objective, the relationship among the previous and the current internal tasks and next tasks which will given is able to show in logical model. Thus when planning an organization, the integral part of class must include Task, Role and Position. And this time we make a series of outputs of examination of organizing model and examples to meet the capable skill.

• Proceedings of the KIEE Conference
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• 2000.07a
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• pp.119-121
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• 2000

The protective relay setting of transmission systems has to consider various factors such as the protrected device, relay type and system conditions and it requires the empirical knowledge of experts. In this study. The setting rules have been accumulated in Oracle DB and its inference scheme has been devised. Their applications to relay setting system are expected to refine the setting knowledge enhancing the accuracy and consistency of the relay setting.

• Proceedings of the KIEE Conference
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• 1995.07b
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• pp.689-691
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• 1995

In this paper, a fault detection and isolation unit(FDIU) for a centrifugal pump system driven by DC-motor is proposed. The proposed scheme can be classified into the dedicated observer scheme(DOS). A fuzzy logic based inference engine is adopted for the isolation of each faults. Having the fuzzy inference engine, the proposed FDIU resolve a few important problems of the conventional DOSs with conventional two valued logic. The ouputs of the proposed FDIU are not "ith fault occurred" but the grade of memberships that indicate the consistency of observered symptoms(residuals) with each fault symptoms stored in the rule base. The ouputs can easily be transferred to the ranking of the fault possibilities and it will provide very useful informations in monitoring the process. The simulation results show that the FDIU has very good diagnostic ability even in the noisy environment.

• Journal of Intelligence and Information Systems
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• v.1 no.2
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• pp.73-83
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• 1995

In this paper, we propose a generating method for the optimal rules of the fuzzy rule base using evolution algorithms. With the aid of evolution algorithms optimal rules of fuzzy logic system can be automatic designed without human expert's priori experience and knowledge. can be intelligent control. The a, pp.oach presented here generating rules by self-tuning the parameters of membership functions and searchs the optimal control rules based on a fitness value which is the defined performance criterion. Computer simulations demonstrates the usefulness of the proposed method in non-linear systems.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.667-668
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• 2007

운전하고 있으나 방사상계통 운전에 대한 정보공유가 미비하여 특정 계통조작시 정전으로 이어질 우려가 상존하고 있다. 본 논문에서는 방사상 계통과 환상계통을 자동 판단하여 계통조작시 정전사고로 이어질 수 있는 경우 사전 경고를 발생하여 정전조작을 미연에 방지할 수 있도록 하는 알고리즘을 개발하였다. 개발된 알고리즘은 SCADA와 미리 구축된 Rule Base를 이용하여 인근지역의 정보를 공유하고, 간단한 집합론을 이용한 수학적 연산작업을 통해 방사상계통인지 환상계통인지를 판단한다. SCADA 시뮬레이터를 통한 다양한 시험을 통해 개발된 알고리즘의 신뢰성을 검증하였으며 이를 구현한 방사상계통 자동판별시스템을 개발하여 실계통에 적용하였다.