• Korea Journal of Geothermal Energy
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• v.9 no.2
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• pp.16-21
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• 2013

• Proceedings of the Korean Magnestics Society Conference
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• 2011.06a
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• pp.36-36
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• 2011

• Journal of the Korean Society of Safety
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• v.8 no.4
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• pp.73-81
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• 1993

In recent years, mould industry in machining requires to increase machining productivity and to reduce costs, To adapt this trend it is necessary to optimize machine condition, Even though many researches in this area introduced various way to set the optimal condition, still there are not enough. Therefore this research was done to select the optimal cutting condition for industry, and to develop the computer program to select the optimal cutting condition automatically. The result of this research will contribute to increase machining productivity of various mould companies with the automatic selection of optimal cutting condition.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.383-388
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• 2005

In the construction industry, complex works are carried out with significant resources under non-linear circumstances where clear concepts of project management could be of benefit to all parties and personnel involved. In this paper, we define the optimum project management configuration for construction management by using DSM (Design Structure Matrix). Furthermore DSM can be visualized as a network model, and then Graph Theory provides us the numerical results.

• The Journal of the Acoustical Society of Korea
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• v.17 no.7
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• pp.12-21
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• 1998

본 논문은 음성 부호화기인 MPMLQ(Multi Pulse Maximum Likehood Quantization)를 고정 소숫점 범용 DSP에 실시간으로 구현할 때 발생되는 계산량을 줄이기 위한 변형된 형태의 MPMLQdp 관한 것이다. MPMLQ는 음성 신호에서 선형 예측 계수와 피치 정보를 추출하고 남은 잔여 신호와 가장 유사한 여기 신호를 표현할 때 상관법을 이용 한다. 상관법은 DSP상에 구현할 때 계수 승산 오버플로우를 발생시킬 수 있으므로 연산후 항상 점검하여야 한다. 이것은 MPMLQ 구현시 전체 계산량의 많은 부분을 차지한다. 본 논 문은 이러한 문제점에 착안하여 계수 승산 오버플로우가 발생하지 않도록 입력 음성신호의 크기를 2비트 만큼 줄이고, 이로 인하여 같은 크기로 줄어든 잔여 신호를 고려하여 MPMLQ에서 여기신호의 크기를 표현하는 고정 코드북 이득표를 적절히 조절하였다. 실험 결과 변형된 MPMLQ의 SSNR은 0.040325dB(실험data기준) 향상되었으며, 계산량에 있어서 도 17.7%의 처리속도 향상되었다. 따라서 고정 소숫점 범용 DSP에 실시간 구현이 가능하였다.

• 제어로봇시스템학회:학술대회논문집
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• 1995.10a
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• pp.428-431
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• 1995

In this paper we propose an on-line tuning method by using genetic algorithm for robust minimax I-PD controller based on new criterion. The new criterion is the Integral of Squared Error (ISE) with a penalty of the derivative of manipulated variable. The work focuses on robust tuning of I-PD controller's parameters in the presence of plant parameter uncertainty. The result of several simulation studies are provided to illustrate the performance of this robust tunig method.

• Environmental Analysis Health and Toxicology
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• v.19 no.3
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• pp.251-259
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• 2004

Xenoestrogens are chemicals with diverse structure that mimic estrogen. Bisphenol A, a monomer of polycarbonate and epoxy resins, has been detected in canned food and human saliva. Bisphenol A stimulate cell proliferation and induce expression of estrogen -response genes in vitro. The purpose of the this study was to evaluate cell proliferation of bisphenol A in the presence of a rat liver 59 mix contaning cytochrome P450 enzymes and Cu (II). The fragmentation of intact DNA, a parameter of apoptotic cell death, was evaluated quantitatively by diphenylamine reaction method. Bisphenol A induced apoptotic cell death in a dose-dependent manner The effect of radical scavenger on the apoptotic cell death induced bisphenol A was investigated. The DNA fragmentation induced by bisphenol A was significantly inhibited by addition of radical scavenger to the culture medium. This indicated that elevated oxidative stress caused by imbalance between the production and removal of free radicals occurred in cells. Taken together, these results suggest that free radical reacts with Cu (II) leading oxidative stress.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1997.11a
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• pp.267-270
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• 1997

In this paper, we proposed an optimazation method using Genetic Algorithm for nonlinear system modeling. Fuzzy Neural Network(FNNs) was used as basic model of nonlinear system. FNNs was fused of Fuzzy Inference which has linguistic property and Neural Network which has learning ability and high tolerence level. This paper, We used FNNs which was proposed by Yamakawa. The FNNs was composed Simple Inference and Error Back Propagation Algorithm. To obtain optimal model, parameter of membership function, learning rate and momentum coefficient of FNNs are tuned using genetic algorithm. And we used simplex algorithm additionaly to overcome limit of genetic algorithm. For the purpose of evaluation of proposed method, we applied proposed method to traffic choice process and waste water treatment process, and then obtained more precise model than other previous optimization methods and objective model.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2010.04a
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• pp.717-720
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• 2010

본 논문에서는 ILM 교량의 특성상 압출 시 응력이 발생하며, 이러한 응력의 발생위치는 본구조물의 캔틸레버화가 되었을 시 나타나게 된다. 이러한 응력을 줄이기 위하여 ILM 교량의 기본설계 과정을 유전자 알고리즘 기법을 이용하여 단면의 형고에 변화를 주어 반복수행 함으로써 최적설계를 도출해 내는 연구를 수행하였다. 유전자 알고리즘을 통하여 교배를 시켜서 세대가 올라갈수록 모멘트는 줄어들고 목적함수는 올라가는 진행 과정을 보여 줌으로써 최적화 과정을 표현하였고, 단면의 형고를 바꿔 줌으로써 ILM 교량의 최적화를 확인할 수가 있었다. 본 연구에서 수행한 유전자 알고리즘을 이용한 최적화 방법을 보여주려고 한다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.1354-1357
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• 1993

This paper proposes that the best reasoning(i.e. rule evaluation) method which should be used in a fuzzy system significantly depends on the reasoning environment. It is shown that allowing for dynamic switching of reasoning methods leads to better performance, even when only two different reasoning methods are considered. This paper discusses DSFS (Dynamic Switching Fuzzy System) which dynamically switches and finds the best reasoning method (from among 80 different possible reasoning methods) to use depending on the reasoning situation. To overcome the reasoning speed and memory problem of DSFS due to its computational requirements, the DSFS Switching Reasoning Table method is proposed and its higher performance as compared to a conventional fuzzy system is shown. Finally, efforts to obtain general relationships between the characteristics of different reasoning methods and the actual control surface/environment is discussed.