• Title/Summary/Keyword: Error Handling

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Design of an Optimal State Feedback Controller for Container Crane Systems with Constraints (제약조건을 가지는 컨테이너 크레인 시스템용 최적 상태궤환 제어기 설계)

  • 주상래;진강규
    • Journal of Advanced Marine Engineering and Technology
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    • v.24 no.2
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    • pp.50-56
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    • 2000
  • This paper presents the design of an optimal state feedback controller for container cranes under some design specifications. To do this, the nonlinear equation of a container crane system is linearized and then augmented to eliminate the steady-state error, and some constraints are derived from the design specifications. Designing the controller involves a constrained optimization problem which classical gradient-based methods have difficulties in handling. Therefore, a real-coding genetic algorithm incorporating the penalty strategy is used. The responses of the proposed control system are compared with those of the unconstrained optimal control system to illustrate the efficiency.

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Rotational position control of RCGLUD using input shaping algorithm (입력 다듬기를 이용한 사용후 핵연료 수송용기 취급장치의 회전 위치제어)

  • 김동기;박영수;윤지섭
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.1060-1063
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    • 1996
  • Remote Cask Grappling and Lid Unbolting Device (RCGLUD) is developed as a dedicated device capable of performing complete procedure of handling nuclear spent fuel transport cask. Since RCGLUD is suspended to an overhead crane, its body should undergo prolonged vibration upon actuation in rotational direction and it becomes difficult to achieve precise grappling of the cask. Therefore, this paper presents an adaptation of input shaping technique to effectively suppress the rotational vibration of RCGLUD and achieve precise positioning in rotational direction. This technique has a practical merit in that it requires only the information on the system natural frequency and the damping ratio. Its performance is verified by both simulation and experimental studies, and revealed that the method is also insensitive to modeling error.

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Nonlinearity-Compensation Extended Kalman Filter for Handling Unexpected Measurement Uncertainty in Process Tomography

  • Kim, Jeong-Hoon;Ijaz, Umer Zeeshan;Kim, Bong-Seok;Kim, Min-Chan;Kim, Sin;Kim, Kyung-Youn
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1897-1902
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    • 2005
  • The objective of this paper is to estimate the concentration distribution in flow field inside the pipeline based on electrical impedance tomography. Special emphasis is given to the development of dynamic imaging technique for two-phase field undergoing a rapid transient change. Nonlinearity-compensation extended Kalman filter is employed to cope with unexpected measurement uncertainty. The nonlinearity-compensation extended Kalman filter compensates for the influence of measurement uncertainty and solves the instability of extended Kalman filter. Extensive computer simulations are carried out to show that nonlinearity-compensation extended Kalman filter has enhanced estimation performance especially in the unexpected measurement environment.

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Evolutionary Learning of Neural Networks Classifiers for Credit Card Fraud Detection (신용카드 사기 검출을 위한 신경망 분류기의 진화 학습)

  • 박래정
    • Journal of the Korean Institute of Intelligent Systems
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    • v.11 no.5
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    • pp.400-405
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    • 2001
  • This paper addresses an effective approach of training neural networks classifiers for credit card fraud detection. The proposed approach uses evolutionary programming to trails the neural networks classifiers based on maximization of the detection rate of fraudulent usages on some ranges of the rejection rate, loot minimization of mean square error(MSE) that Is a common criterion for neural networks learning. This approach enables us to get classifier of satisfactory performance and to offer a directive method of handling various conditions and performance measures that are required for real fraud detection applications in the classifier training step. The experimental results on "real"credit card transaction data indicate that the proposed classifiers produces classifiers of high quality in terms of a relative profit as well as detection rate and efficiency.

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Performance evaluation of telecommunication protocols using stochastic petri nets reward model (Stochastic Petri Nets Reward Model을 이용한 통신 프로토콜의 성능평가)

  • 로철우;장직현
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.32A no.4
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    • pp.1-14
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    • 1995
  • A new stochastic Petri nets model, called Stochastic Petri Nets Reward Model(SPNRM) is used for modeling and evaluating the performance of telecommunication protocols. We have developed a SPNRM of the TDX-10 Internal protocol, which has a packet data exchange facility between DCEs, Especially a timer and retransmission handling model is presented for error control of the data transmission phase. The stochastic Petri nets package(SPNP), a software package for SPNRM used in this paper, has been used to generate numerical results by analytical-numerical method rather than simulation. From the steady state solution of the net, it is possible to calculate automatically the performance measure of the protocol medeled with both end-to-end and link-by-link method, which are the mean response times and the throughputs.

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Development of Objective Vehicle Ride Index (차량 승차감 평가지수 개발에 관한 연구)

  • 장한기;김승한;정용현;장진희
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2001.11a
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    • pp.450-454
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    • 2001
  • The aim of the study is to develope an objective index for the evaluation of vehicle ride comfort using the measured vehicle accelerations. The equation of the index was derived from the correlation analysis of subjective ratings on selected vehicles and the reduced measure of the vehicle motions. First whole procedure of from the measurements to the calculation of the perceptual vibration was developed. Test condition of both the vehicle speed and the road condition was selected so as to maximize the reliability of the index. This paper suggested the equation of the objective ride index on vibration harshness, of which expected error is about 0.3 in 10 scale of subjective rating at 95% of the significance level.

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Space Time Data Analysis for Greenhouse Whitefly (온실가루이의 공간시계열 분석)

  • 박진모;신기일
    • The Korean Journal of Applied Statistics
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    • v.17 no.3
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    • pp.403-418
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    • 2004
  • Recently space-time model in spatial data analysis is widly used. In this paper we applied this model to analysis of greenhouse whitefly. For handling time component, we used ARMA model and autoregressive error model and for outliers, we adapted Mugglestone's method. We compared space-time models and geostatistic model with MSE and MAPE.

A Dual Vacuum Wafer Prealigner and a Multiple Level Structure (2단 진공 웨이퍼 정렬장치 및 다층 구조 설계)

  • Kim, H.T.;Choi, M.S.
    • Transactions of The Korea Fluid Power Systems Society
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    • v.8 no.3
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    • pp.14-20
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    • 2011
  • This study aims at aligning multiple wafers to reduce wafer handling time in wafer processes. We designed a multilevel structure for a prealigner which can handle multiple wafer simultaneously in a system. The system consists of gripping parts, kinematic parts, vacuum chucks, pneumatic units, hall sensors and a DSP controller. Aligning procedure has two steps: mechanical gripping and notch finding. In the first step, a wafer is aligned in XY directions using 4-point mechanical contact. The rotational error can be found by detecting a signal in a notch using hall sensors. A dual prealigner was designed for 300mm wafers and constructed for a performance test. The accuracy was monitored by checking the movement of a notch in a machine vision. The result shows that the dual prealigner has enough performance as commercial products.

Smart Card Reader기 Connector 조립 및 Vision 검사용 자동화기기 개발에 관한 연구

  • 노병옥;성하경
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1994.10a
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    • pp.543-548
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    • 1994
  • This is the paper on the development of assemnly automation and visual inspection system for smart card reader connector. The automation consists of 3 main process injection, assembly and inspection. During the injection, the main pin of a reel. transferred under uniform tension, is cut with an injection interval and positioned precisely to an injection mold by roll feeder after injection. The main base is stacked to a magazine for main pin's exact positionning to a mold . For last effective production, The turn table and pick & place are driver with gears and came by a single monter. We developed the small parts handling technigue for stable supply of micro ist pin and 2nd pin and could determine the orientation and position of those pins. For reliable inspection, We used the vision system which examins the guality of arranged pins with a CCD camera. The connector models which can be manufactured with this system are 8 pin and 10 pin type. The user can select the connector model for production and adjust the torerable error range during the inspection of arranged pins.

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The Development of Mapping Error Handling Program using Genetic Algorithm (유전자알고리즘을 이용한 지도제작 오류 처리 프로그램 개발)

  • Kim, Hyun-Duck;Park, Ki-Surk;Park, Kyung-Yul;Choi, Seok-Keun
    • 한국지형공간정보학회:학술대회논문집
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    • 2004.10a
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    • pp.107-112
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    • 2004
  • 소축척 수치지도 및 지형도 제작을 위한 자동화 처리 과정에서는 기하학적 및 논리적인 오류가 발생하고 있고, 기하학적 오류는 많은 부분에서 자동화 처리가 가능하나 논리적 오류는 논리적으로 자동 판단이 곤란한 경우가 많기 때문에 대부분 수작업으로 이루어 지고 있는 실정이다. 따라서, 본 연구에서는 논리적 오류문제를 해결하기 위하여 폴리곤 겹침에 대해서 도로와 건물 폴리곤간의 겹침위치를 탐색하고, 이를 처리하기 위해 유전자알고리즘을 이용하여 프로그램을 개발하였다. 그 결과 지도제작 과정에서의 논리적 오류에 대한 자동화가 가능하도록 하였고, 그로 인한 지도제작 오류를 최소화할 수 있었다.

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