• Title/Summary/Keyword: parameter calibration

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Development of TCAD calibration methodology for ESD simulation and TLP measurement analysis (ESD 시뮬레이션과 TLP 측정해석을 위한 TCAD calibration methodology 개발)

  • 염기수
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • pp.538-542
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    • 1999
  • New methodology of parameter calibration is proposed for TCAD simulation of nMOSFET in ESD(Electro-Static Discharge) protection circuits. Recently, TLP(Transmission Line Pulsing) measurement has received great interest due to the ability of analyzing device characteristics when ESD pulse is applied to the ESD pulse is applied to the ESD protection circuits. This paper describes new methodology of analyizing TLP measurement, TCAD simulation, and parameter calibration.

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Parameter Calibration o fthe Nonlinear Muskingum Model using Harmony Search

  • Geem, Jong-Woo;Kim, Joong-Hoon;Yoon, Yong-Nam
    • Proceedings of the Korea Water Resources Association Conference
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    • pp.3-10
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    • 2000
  • A newly developed heuristic algorithm, Harmony Search, is applied to the parameter calibration problem of the nonlinear Muskingum model. The Harmony Search could, mimicking the improvisation of music players, find better parameter values for in the nonlinear Muskingum model than five other methods including another heuristic method, genetic algorithm, in the aspect of SSQ (the sum of the square of the deviations between the observed and routed outflows) as well as in the aspects of SAD (the sum of the absolute value of the deviations), DPO (deviations of peak of routed and actual flows) and DPOT (deviations of peak time of rented and actual outflow). Harmony Search also has the advantage that it does not require the process of assuming the initial values of design parameters. The sensitivity analysis of Harmony Memory Considering Rate showed that relatively large values of Harmony Memory Considering Rate makes the Harmony Search converse to a better solution.

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Parameter Calibration of the Nonlinear Muskingum Model using Harmony Search

  • Geem, Zong-Woo;Kim, Joong-Hoon;Yoon, Yong-Nam
    • Journal of Korea Water Resources Association
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    • v.33 no.S1
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    • pp.3-10
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    • 2000
  • A newly developed heuristic algorithm, Harmony Search, is applied to the parameter calibration problem of the nonlinear Muskingum model. The Harmony Search could, mimicking the improvisation of music player, find better parameter values for in the nonlinear Muskingum model than five other methods including another heuristic method, genetic algorithm, in the aspect of SSQ(the sum of the square of the deviations between the observed and routed outflows) as well as in the aspects of SAD(the sum of the absolute value of the deviations), DPO(deviations of peak of routed and actual flows) and DPOT(deviatios of peak time of routed and actual outflow). Harmony Search also has the advantage that it does not require the process of asuming the initial values of desing parameters. The sensitivity analysis of Harmony Memory Considering Rate showed that relatively large values of Harmony Memory Considering Rate makes the Harmony Search converge to a better solution.

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A Position Measurements of Moving Object in 2D Plane (2차원 평면상에서 이동하는 물체의 위치측정)

  • Ro, Jae-Hee;Lee, Yong-Jung;Choi, Jae-Ha;Ro, Young-Shick;Lee, Yang-Burm
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.12
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    • pp.1537-1543
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    • 1999
  • In this paper, PSD(Position Sensitive Detector) sensor system that estimates position for moving objects in 2D plane is developed. PSD sensor is used to measure the position of an incidence light in real-time. To get the position of light source of moving target, a new parameter calibration algorithm and neural network technique are proposed and applied. Real-time position measurements of the mobile robot with light source is examined to validate the proposed method. It is shown that the proposed technique provides accurate position estimation of the moving object.

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Position Measurements of Moving Object in Cartesian Coordinate (직교좌표에서 이동물체의 위치측정)

  • 이용중;노재희;이양범
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.10 no.1
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    • pp.36-42
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    • 2001
  • In this paper, PSD(Position Sensitive Detector) sensor system that estimates position for moving objects in 2D plane is developed. PSD sensor is used to measure the position the position of and incidence light in real-time. To get the position of light source of moving target, a new parameter calibration algorithm and neural network technique are proposed and applied. Real-time position measurements of the mobile robot with light source is examined to validate the proposed method. It is shown that the proposed technique provides accurate position estimation of the moving object.

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Positioning Accuracy Improvement of Robots by Link Parameter Calibration (링크인자 보정에 의한 로보트 위치 정밀도 개선)

  • Cho, Eui-Chung;Ha, Young-Kyun;Lee, Sang-Jo;Park, Young-Pil
    • Journal of the Korean Society for Precision Engineering
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    • v.6 no.3
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    • pp.32-45
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    • 1989
  • The positioning accuracy of robots depends upon a forward kinematics which relates the joint variables to the orientation and position of the robot extremity in the absolute coordinate system. The relationship between two connective joint coordi- nates of a robot, which is the basis of the kinematics, is defined by 4 Denavit-Hartenberg parameters. But manufacturing errors in machining and assembly process of robots lead to disctrepancies between the design parameters and the physical structure. Thus, improving the positioning accuracy of robots reguires the identification of the actual link parameters of each robot. In this study, the least-squares method is used to calibrate the link parameters and off-line parameter calibration software is developed. Computer simulation is done to study the dependence of the calibration performance upon the DOF of the robot and number of acquired data set used in the least-squares method. 3 DOF Robot/Controller and specially designed 3D coordinate measurer is made and experiment is carried out to verify the theoretical and computational analysis.

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Parameter Estimation for Nash Model and Diskin Model by Optimization Techniques (최적화 기법을 이용한 Nash 모형과 Diskin 모형의 매개변수 추정)

  • Choi, Min-Ha;Ahn, Jae-Hyun;Kim, Joong-Hoon;Yoon, Yong-Nam
    • Journal of the Korean Society of Hazard Mitigation
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    • v.1 no.3
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    • pp.73-82
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    • 2001
  • This study examines the applicability of the Nash model and the Diskin model, which are linear and nonlinear runoff models, respectively, by applying optimization techniques to the parameter calibration of the two models. Nonlinear programming which is one of traditional optimization techniques and Genetic Algorithm which has been actively applied recently are used in this study. The Nash and Diskin models which use the calibrated parameter with a flood events are applied to a different flood event in Soyang Dam basin. The results obtained from the parameter calibration show slight discrepancy depending upon the flood events. It has been found in the comparion between the observed hydrograph and the hydrographs obtained from the parameter calibration that the Diskin model can better simulate the observed hydrograph than the Nash model can, especially, for the peak flow. This can be analyzed that the Diskin model which is a nonlinear runoff model is better off in simulating the nonlinear characteristic of the rainfall-runoff process.

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3D Depth Measurement System based on Parameter Calibration of the Mu1ti-Sensors (실거리 파라미터 교정식 복합센서 기반 3차원 거리측정 시스템)

  • Kim, Jong-Man;Kim, Won-Sop;Hwang, Jong-Sun;Kim, Yeong-Min
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • pp.125-129
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    • 2006
  • The analysis of the depth measurement system with multi-sensors (laser, camera, mirror) has been done and the parameter calibration technique has been proposed. In the proposed depth measurement system, the laser beam is reflected to the object by the rotating mirror and again the position of the laser beam is observed through the same mirror by the camera. The depth of the object pointed by the laser beam is computed depending on the pixel position on the CCD. There involved several number of internal and external parameters such as inter-pixel distance, focal length, position and orientation of the system components in the depth measurement error. In this paper, it is shown through the error sensitivity analysis of the parameters that the most important parameters in the sense of error sources are the angle of the laser beam and the inter pixel distance.

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Large Scale Rainfall-runoff Analysis Using SWAT Model: Case Study: Mekong River Basin (SWAT 모형을 이용한 대유역 강우-유출해석: 메콩강 유역을 중심으로)

  • Lee, Dae Eop;Yu, Wan Sik;Lee, Gi Ha
    • Journal of The Korean Society of Agricultural Engineers
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    • v.60 no.1
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    • pp.47-57
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    • 2018
  • This study implemented the rainfall-runoff analysis of the Mekong River basin using the SWAT (Soil and Water Assessment Tool). The runoff analysis was simulated for 2000~2007, and 11 parameters were calibrated using the SUFI-2 (Sequential Uncertainty Fitting-version 2) algorithm of SWAT-CUP (Calibration and Uncertainty Program). As a result of analyzing optimal parameters and sensitivity analysis for 6 cases, the parameter ALPHA_BF was found to be the most sensitive. The reproducibility of the rainfall-runoff results decreased with increasing number of stations used for parameter calibration. The rainfall-runoff simulation results of Case 6 showed that the RMSE of Nong Khai and Kratie stations were 0.97 and 0.9, respectively, and the runoff patterns were relatively accurately simulated. The runoff patterns of Mukdahan and Khong Chaim stations were underestimated during the flood season from 2004 to 2005 but it was acceptable in terms of the overall runoff pattern. These results suggest that the combination of SWAT and SWAT-CUP models is applicable to very large watersheds such as the Mekong for rainfall-runoff simulation, but further studies are needed to reduce the range of modeling uncertainty.

Numerical Model for SBR Aerobic Digestion Combined with Ultrasonication and Parameter Calibration (초음파 결합형 SBR 호기성 소화의 모델과 매개변수의 보정)

  • Kim, Sunghong;Lee, Inho;Yun, Jeongwon;Lee, Dongwoo
    • Journal of Korean Society of Water and Wastewater
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    • v.27 no.4
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    • pp.457-468
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    • 2013
  • Based on the activated sludge model(ASM), a mathematical model which represents the aerobic sludge digestion by sequencing batch reactor(SBR) combined with ultrasonic treatment was composed and performed in this study. Aerobic digestion using sequencing batch reactor(SBR) equipped with ultrasound treatment was also experimented for the purpose of parameter calibration. Most of the presented kinetic parameters in ASM or ASM2 could be used for the aerobic digestion of sludge but the parameters related in hydrolysis and decay rate needed modification. Hydrolysis rate constant of organic matter in aerobic condition was estimated at $0.3day^{-1}$ and the maximum growth rate for autotrophs in aerobic condition was $0.618day^{-1}$. Solubilization reactions of particulate organics and nitrogen by ultrasonication was added in this kinetic model. The solubilization rate is considered to be proportional to the specific energy which is defined by specific ultrasound power and sonication time. The solubilization rate constant by ultrasonication was estimated at $0.202(W/L)^{-1}day^{-1}$ in this study. Autotrophs as well as heterotrophs also decomposed by ultrasonic treatment and the nitrification reaction was limited by the lack of autotrophs accumulation in the digester.