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공학적 접근을 통한 해체비용 산정 프레임워크에 대한 고찰 (A Study on Decommission Cost Estimation Framework with Engineering Approach)

  • 이선기
    • 시스템엔지니어링학술지
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    • 제8권2호
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    • pp.57-67
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    • 2012
  • It is the sensitivity and confidentiality of nuclear power plant decommissioning cost that prevent detailed cost information to be released to the public, which causes some limitation to analyze and reuse the costs. This limitation to access cost information means that the lessons learned from preceding cost estimating may not systematically feed back into following cost estimates. As an alternative, decommissioning cost estimation framework is indispensable to reflecting available experience and knowledge for decommission costs. This study provides the cost estimation framework including data flow and structuralization based on engineering and bottom up approach to enhance decommissioning cost estimation.

기중기의 모터속도 측정장치 개발 (Development of the speed-measurement device of motor in a crane)

  • 김강철
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2000년도 추계종합학술대회
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    • pp.638-641
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    • 2000
  • The conventional motor in a crane has a tan generator to feed back the number of turns. The tan generator is contacted to a motor shaft through the coupling. Don has been often generated because the coupling has worn out while the motor is turning. In this paper, we design the speed-measurement device of motor in a un. The device is composed of PIC16F84 controller, photo-sensor, and analog-to digital converter. The photo sensor measures the turn of a motor without contact so the device decreases the probability of errors. And The device can acknowledge the turn direction of the motor with a gin81e senor and two color reflectors.

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점간(点間) 위치(位置) 최적제어(最適制御) 방식(方式)의 제안(制案) (A Proposal of Point - to - Point Optimal Control Mode)

  • 김주홍;엄기환;조한준;오준남;김진원
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1988년도 추계학술대회 논문집 학회본부
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    • pp.72-75
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    • 1988
  • In the point-to-point motion on servo system, the control mode which minimizes the performance index including, the impact of end point, time and energy, is proposed. The proposed control mode applied to the feed-back control system of D.C motor and then had a computer simulation. This control mode had less the impact of end point, stedy state error, time and energy than the bang-bang or the saturating- proportional control mode.

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Genetic Algorithms for neural network control systems

  • Jeong, Il-Kwon;Lee, Ju-Jang
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1994년도 Proceedings of the Korea Automatic Control Conference, 9th (KACC) ; Taejeon, Korea; 17-20 Oct. 1994
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    • pp.737-741
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    • 1994
  • We show an application of a genetic algorithm to, control systems including neural networks. Genetic algorithms are getting more popular nowadays because of their simplicity and robustness. Genetic algorithms are global search techniques for optimization and many other problems. A feed-forward neural network which is widely used in control applications usually learns by error back propagation algorithm(EBP). But, when there exist certain constraints, EBP can not be applied. We apply a modified genetic algorithm to such a case. We show simulation examples of two cart-pole nonlinear systems: single pole and double pole.

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신경회로망을 이용한 실내환경에서의 주행표식인식 (Landmark recognition in indoor environments using a neural network)

  • 김정호;유범재;오상록;박민용
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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    • pp.306-309
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    • 1996
  • This paper presents a method of landmark recognition in indoor environments using a neural-network for an autonomous mobile robot. In order to adapt to image deformation of a landmark resulted from variations of view-points and distances, a multi-labeled template matching(MLTM) method and a dynamic area search method(DASM) are proposed. The MLTM is. used for matching an image template with deformed real images and the DASM is proposed to detect correct feature points among incorrect feature points. Finally a feed-forward neural-network using back-propagation algorithm is adopted for recognizing the landmark.

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로드셀과 토크암을 이용한 대용량 토크 측정장치 개발에 관한 연구 (Development of device measuring very high torque via torque arm with attached load cells)

  • 이용범;한승호
    • 유공압시스템학회논문집
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    • 제7권1호
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    • pp.6-10
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    • 2010
  • A measurement of very high torque for track drive unit in construction equipment is usually in difficulties due to the requirement of a torque meter with high capacity, and the limitation of geometry for an experimental set-up. To improve the troublesome problem, a new device was proposed, where a torque transmitted through the torque arm can be measured by load cells attached at each torque arm. The experimental set-up of the new device was carried out in order to measure the torque values for a mechanical feedback type planetary gear box, in which the power flow circulates itself in a closed-loop. The new device enables to measure torque values of 60,000Nm. Additionally, the measured values were estimated statistically in the aspect of their repeatability and reproducibility, so that an acceptable behaviour as a measuring device can be confirmed.

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전압형 인버터로 구동되는 유도기의 안정화 제어 (The Stablized Control Method for The Voltage Source Inverter Fed Induction Motor Driver)

  • 노성채;이현우;이오걸;우정인
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1989년도 하계종합학술대회 논문집
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    • pp.567-570
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    • 1989
  • A constant V/F control system of voltage contrlled PWM inverter has a unstable operation of the low- speed and the light-load. In this paper, the authors propose stability control with idealized operation of induction motor by the neglect of primary leakage inductance and resistance. Also ldealized operation system is adopted voltage error, feed back impedance circuit, and increasing resistance from dead time of switching is compensated by the soft ware with u-processors. The proposed simulation of the idealized control method is proved at the low-speed operation for three phase induction motor.

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신경회로망을 이용한 불량 Data 처리에 관한 연구 (A Study for Bad Data Processing by a Neural Network)

  • 김익현;박종근
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1989년도 추계학술대회 논문집 학회본부
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    • pp.186-190
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    • 1989
  • A Study for Bad Data Processing in state estimation by a Neural Network is presented. State estimation is the process of assigning a value to an unknown system state variable based on measurement from that system according to some criteria. In this case, the ability to detect and identify bad measurements is extremely valuable, and much time in oder to achieve the state estimation is needed. This paper proposed new bad data processing using Neural Network in order to settle it. The concept of neural net is a parallel distributed processing. In this paper, EBP (Error Back Propagation) algorithm based on three layered feed forward network is used.

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전원 불평형과 역률을 보상하는 직렬형 능동전력필터의 통합적 제어 (Integrative Control of Series Active Power Filters for Source Voltage Unbalance Compensation and Power Factor Correction)

  • 장정익;석줄기;이동춘
    • 대한전기학회논문지:전기기기및에너지변환시스템부문B
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    • 제55권5호
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    • pp.258-264
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    • 2006
  • This paper presents an integrative control scheme for series-type active power filters combined with shunt passive filters not only to compensate for the source voltage unbalance and current harmonics but also to correct the power factor. To reduce the power capacity of the active filters, passive filters are connected in parallel. Diode rectifiers are replaced by the PWM converters in order to feed the real power back to the source. Power factor control is performed by changing the phase of the load voltage so that the phase of the source current coincides with that of the source voltage. The resultant voltage reference is the addition of the voltage component compensating for the source voltage unbalance and harmonic currents and the voltage component correcting the power factor. The validity of the proposed algorithm has been verified by experimental results.

시간지연을 고려한 ATM 망에서의 체증제어를 위한 $H_{\infty}$ 제어기 설계 (Robust $H_{\infty}$ State Feed back Congestion Contro1 of ATM for lineardiscrete-time systems with Uncertain Time-Variant Delav)

  • 강래청;정우채;김영중;임묘택
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 하계학술대회 논문집 D
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    • pp.2161-2163
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    • 2004
  • This paper focuses on congestion control for ATM network with uncertain time-variant delays. The time-variant delays can be distinguished into two distinct components. The first one that is represented by time-variant queueing delays in the intermediate switches is occurred in the return paths of RM cells. The next one is a forward path delay. It is solved by the VBR Model which quantifies the data propagation from the sources to the switch. Robust $H_{\infty}$ control is studied for solving congestion problem with norm-bounded time-varying uncertain parameters. The suitable robust $H_{\infty}$ controller is obtained from the solution of a convex optimization problem including terms of LMIs.

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