• Proceedings of the KIEE Conference
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• 1999.07c
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• pp.1177-1179
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• 1999

This paper presents a design of artificial neural network power system stabilizer(ANNPSS) using adaptive evolutionary algorithm(AEA). We have proposed an adaptive evolutionary algorithm which uses both a genetic algorithm(GA) and an evolution strategy(ES), useing the merits of two different evolutionary computations. ANNPSS shows better control performances than conventional power system stabilizer(CPSS) in three-phase fault with heavy load which is used when tuning ANNPSS. To show the robustness of the proposed ANNPSS, it is applied to damp the low frequency oscillation caused by disturbances such as three-phase fault with normal and light load. the proposed ANNPSS shows better robustness than CPSS.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2004.07b
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• pp.780-783
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• 2004

본 논문에서는 유한요소법과 등가회로법을 이용하여 윤곽 진동형 압전변압기의 특성을 해석하고 이를 통해 압전변압기의 매칭 임피던스와 기계 및 전기적 결합계수를 계산하였다. 실험적 결과를 통하여 수치해석의 타당성을 검증한 후, 진화 전략에 기초한 멀티 모드 함수의 최적 알고리즘을 이용하여 고효율 고전압 밀도 압전 변압기의 형상 최적화를 수행하였다. 최적화 과정에서의 계산 시간을 단축시키기 위하여 AWE(Asymptotic Waveform Evaluation)를 적용한 유한요소법을 사용하였다.

• Proceedings of the KIEE Conference
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• 2005.10b
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• pp.322-324
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• 2005

In this paper, we introduce the advanced Self-Organizing Fuzzy Polynomial Neural Network based on optimized FPN by evolutionary algorithm and discuss its comprehensive design methodology involving mechanisms of genetic optimization, especially genetic algorithms (GAs). The proposed model gives rise to a structurally and parametrically optimized network through an optimal parameters design available within Fuzzy Polynomial Neuron(FPN) by means of GA. Through the consecutive process of such structural and parametric optimization, an optimized and flexible the proposed model is generated in a dynamic fashion. The performance of the proposed model is quantified through experimentation that exploits standard data already used in fuzzy modeling. These results reveal superiority of the proposed networks over the existing fuzzy and neural models.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2010.06a
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• pp.127-127
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• 2010

This study describes the optimal design of shield to improve the insulation performance of vacuum interrupter(VI). Axi-symmetric finite element routine including floating boundary condition for shields was applied to analyze electric potential and field distribution in VI. A ($\mu-\lambda$) Evolution Strategy(ES) is employed as optimization method. Three design variables of shield are selected for minimizing the maximum electric field strength in VI. Finally, optimal solution for shield is obtained and compared with the result of the prototype.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.1135-1136
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• 2008

Error correcting codes (ECC) are widely used in all types of memory in industry, including caches and embedded memory. The focus in this paper is on studying of power consumption in memory ECCs circuitry that provides single error correcting and double error detecting (SEC-DED) designed by various evolution strategies. The methods are applied to two commonly used SEC-DED codes: Hamming and odd column weight Hsiao codes. Finally, we conduct some simulations to show the performance of the various methods.

• 유체기계공업학회:학술대회논문집
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• 2001.11a
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• pp.185-190
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• 2001

The cavitation causes suction performance and efficiency of the high-speed pump to be reduced significantly To diminish these effects, the inducer has been used. Most of the inducer is designed at a maximum efficiency point of the pump, therefore suction performance drop due to effects of flow separation and inlet inverse flow is often observed at off-design point. The objective of this study is to find out the cavitation modes at various conditions by applying event detection technique and to design an inducer reducing cavitation. The pressure fluctuations at each cavitating condition were measured at inducer inlet and outlet locations using pressure transducers, which were located 90 degrees apart from each other to identify the cavitation modes. The time-frequency characteristics were analyzed by using Choi-williams distribution. In the second part of this paper, the inducer design method which uses nominal performance characteristic and onset condition of cavitation is introduced and applied to real situation.

• Proceedings of the KSME Conference
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• 2003.04a
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• pp.1124-1129
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• 2003

In mechanical design, design process is mainly composed of design, explanation and evaluation. In this paper, Using Genetic Algorithms (GA), Evolutionary computation is introduced as new design process. This method promote the efficiency and power of design. Due to the known characteristics of the stage, the approach basically involves a synthetic design method with the composition of building blocks representing the elements of mechanical objects. In order for the building blocks to be more suitable for representation and evolution of mechanical structures, Elementary Cell Blocks (ECBs) are introduced as new building blocks. In this paper, we have demonstrated the implementation of the approach with the design of gear systems.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2001.05a
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• pp.967-972
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• 2001

An axial fan design code, called iDesignFan$^{TM}$, was developed. In this code, three major loss models were used to predicted the aerodynamic performance of a fan. The overall sound pressure level, predicted from steady blade loading, is also used as an input parameter from the third loop of the designing process to acquire most silent fan for the given aerodynamic performance parameters. With this kind of inverse design concept used in this code, the period of designing a fan, which has given aerodynamic performance with minimal acoustic noise, is significantly shortened. The experimental results of a prototype fan, designed by this code, showed that aerodynamic and acoustic performance of an axial fan is reasonably well predicted. Thus, one can design/develop an axial fan in a short time by using the code.e.

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.01a
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• pp.15-18
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• 2011

현재 컴퓨팅 환경은 분산, 이동, 유비쿼터스 컴퓨팅 환경으로 진화되고 있다. OSGi는 유비쿼터스 환경에서 디지털 이동 전화, 차량, 임베디드 가전, 가정용 게이트웨이, 데스크탑 컴퓨터, 고성능 서버에 이르기까지 그 적용범위가 확대되고 있다. 따라서 서로 다른 장비에 탑재된 OSGi 프레임워크의 서비스들을 서로 연동하여 원격 OSGi 서비스들을 공유하여 상호 운용할 수 있는 기술이 필요하게 되었다. 본 논문에서는 분산 OSGi 프레임워크에서 원격 서비스의 상호운용을 지원하기 위하여 분산 미들웨어 기술인 RMI 패러다임을 적용한 원격 OSGi 서비스 상호운영 방안을 제안한다. 제안하는 원격 OSGi 서비스 상호운용 방안은 OSGi 표준 기술을 활용 및 확장하여 OSGi 아키텍처에 부합하는 원격서비스의 등록 및 발견, 접근 방법을 제공한다. 또한 동적으로 프락시 번들 및 프락시 서비스를 생성함으로써 원격 OSGi 서비스의 위치 투명성을 지원하는 특징을 가진다.

• Journal of Sensor Science and Technology
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• v.14 no.6
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• pp.402-408
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• 2005

This paper describes the optimal design of a multi-layered surface plasmon resonance sensors to meet various specifications and improve some physical parameters. Dip 3 dB bandwidth and depth were chosen as design parameters and the objective function was the norm of the difference between design parameters and target values. The design variables are thicknesses of each layer and to obtain the design parameters, the optical admittance method was employed. The (1+1) evolution strategy was employed as an optimization tool. By applying the proposed optimization procedure to a 3-layered sensor, the optimized design variables considerably improved the 3 dB bandwidth by 4.8 nm and the dip depth by 1.1 dB.