• 제목/요약/키워드: determination of model parameters

검색결과 519건 처리시간 0.029초

현장 계측을 통한 산업용 열병합 발전설비 모델 파라미터 결정 (Model Parameter Determination of Industrial Co-generator Model Parameters through Filed Measurement)

  • 김학만
    • 조명전기설비학회논문지
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    • 제21권10호
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    • pp.159-165
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    • 2007
  • 본 논문에서는 열병합 발전시스템의 특성 실험으로 구한 실측데이터를 이용하여 발전시스템의 모델 파라미터를 결정하는 기법을 제안하였고 이에 대한 타당성을 입증하져다. 제안한 모델은 발전기, 여자시스템, 터빈/조속기를 주로 다루었다. 도출된 파라미터의 타당성을 검토하기 위해서 실측값과 시뮬레이션 결과를 비교하였다. 시뮬레이션 결과를 실측결과와 일치함을 확인하였습니다.

잉여생산량을 추정하는 모델과 파라미터 추정방법의 비교 (Comparison of models for estimating surplus productions and methods for estimating their parameters)

  • 권유정;장창익;표희동;서영일
    • 수산해양기술연구
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    • 제49권1호
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    • pp.18-28
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    • 2013
  • It was compared the estimated parameters by the surplus production from three different models, i.e., three types (Schaefer, Gulland, and Schnute) of the traditional surplus production models, a stock production model incorporating covariates (ASPIC) model and a maximum entropy (ME) model. We also evaluated the performance of models in the estimation of their parameters. The maximum sustainable yield (MSY) of small yellow croaker (Pseudosciaena polyactis) in Korean waters ranged from 35,061 metric tons (mt) by Gulland model to 44,844mt by ME model, and fishing effort at MSY ($f_{MSY}$) ranged from 262,188hauls by Schnute model to 355,200hauls by ME model. The lowest root mean square error (RMSE) for small yellow croaker was obtained from the Gulland surplus production model, while the highest RMSE was from Schnute model. However, the highest coefficient of determination ($R^2$) was from the ME model, but the ASPIC model yielded the lowest coefficient. On the other hand, the MSY of Kapenta (Limnothrissa miodon) ranged from 16,880 mt by ASPIC model to 25,373mt by ME model, and $f_{MSY}$, from 94,580hauls by ASPIC model to 225,490hauls by Schnute model. In this case, both the lowest root mean square error (RMSE) and the highest coefficient of determination ($R^2$) were obtained from the ME model, which showed relatively better fits of data to the model, indicating that the ME model is statistically more stable and robust than other models. Moreover, the ME model could provide additional ecologically useful parameters such as, biomass at MSY ($B_{MSY}$), carrying capacity of the population (K), catchability coefficient (q) and the intrinsic rate of population growth (r).

Z-map을 이용한 3차원 방전가공조건의 결정방법 (A Method for Determination of 3D-Electrical Discharge Machining Parameters Using Z-map)

  • 주상윤;이건범
    • 한국CDE학회논문집
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    • 제4권4호
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    • pp.355-359
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    • 1999
  • This paper presents a method for determining machining parameters in electrical discharge machining process (EDM) based on discharge area. The parameters are the peak value of currents, the pulse-on time, and the pulse-off time, on which the EDM performance depends chiefly. The optimal machining parameters are closely related on discharge area, which can be calculated from a tool electrode and a discharge height. In the paper the discharge area is obtained from NC code for machining the tool electrode instead of its geometric model. The method consists of following three steps. First a Z-Map model is constructed from the NC code. Secondly, the discharge area is obtained from the Z-Map model and a Z-height. Finally, the machining parameters are calculated from the discharge area. An introduced example shows that the machining parameters are calculated by the using a Z-map model obtained from the machining data for a tool electrode.

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Determination of the Parameter Sets for the Best Performance of IPS-driven ENLIL Model

  • Yun, Jongyeon;Choi, Kyu-Cheol;Yi, Jonghyuk;Kim, Jaehun;Odstrcil, Dusan
    • Journal of Astronomy and Space Sciences
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    • 제33권4호
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    • pp.265-271
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    • 2016
  • Interplanetary scintillation-driven (IPS-driven) ENLIL model was jointly developed by University of California, San Diego (UCSD) and National Aeronaucics and Space Administration/Goddard Space Flight Center (NASA/GSFC). The model has been in operation by Korean Space Weather Cetner (KSWC) since 2014. IPS-driven ENLIL model has a variety of ambient solar wind parameters and the results of the model depend on the combination of these parameters. We have conducted researches to determine the best combination of parameters to improve the performance of the IPS-driven ENLIL model. The model results with input of 1,440 combinations of parameters are compared with the Advanced Composition Explorer (ACE) observation data. In this way, the top 10 parameter sets showing best performance were determined. Finally, the characteristics of the parameter sets were analyzed and application of the results to IPS-driven ENLIL model was discussed.

유역 토양 수분 추적에 의한 유출 모형 (Daily Streamfiow Model based on the Soil Water)

  • 김태일;여재경;박승기
    • 한국농공학회지
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    • 제33권4호
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    • pp.61-72
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    • 1991
  • A lumped deterministic model(DAWAST model) was developed to predict the daily streamflow. Since the streamflow is dominantly determined by the soil water storage in the watershed, the model takes the soil water accounting procedures which are based on three linear reservoirs representing the surface, unsaturated, and saturated soil layers. The variation of soil water storage in the unsaturated zone is traced from the soil water balance on a daily basis. DAWAST model consists of 5 parameters for water balance and 3 parameters for routing. A optimization technique of unconstrained nonlinear Simplex method was applied for the determination of the optimal parameters for water balance. Model verification was carried out to the 7 hydrologic watersheds with areas of 5.89-7,126km$^2$ and the results were generally satisfactory. The daily streamflow can be arbitrarily simulated with the input data of daily rainfall and pan evaporation by the DAWAST model at the station where the observed streamflow data of short periods are available to calibrate the model parameters.

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C(T) 시편 측면 홈 유무에 따른 파괴저항곡선 변화가 유한요소 손상모델 변수 결정에 미치는 영향 평가 (Evaluation of the Effect of Fracture Resistance Curve Change Owing to the Presence or Absence of Side Groove in C(T) Specimen on Finite Element Failure Model Parameter Determination)

  • 김훈태;류호완;김윤재;김종성;최명락;김진원
    • 대한기계학회논문집A
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    • 제40권6호
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    • pp.539-546
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    • 2016
  • 본 연구에서는 C(T) 시편 측면 홈의 유무에 따른 J-R 곡선의 변화가 유한요소 손상해석의 모델변수 결정에 미치는 영향을 알아보았다. 손상해석은 수정 응력 파괴변형률 모델을 이용하였다. C(T) 시편은 SA508 Gr. 1a 배관재에서 채취하였고 일부에 측면 홈이 가공되었다. 시험은 상온과 원전 운전 온도인 $316^{\circ}C$에서 각각 수행되었으며, 시험 결과 얻은 J-R 곡선을 모사하여 손상모델 변수를 얻었다. 그 결과, 측면 홈의 유무에 따른 J-R 곡선의 변화는 손상모델 변수 결정에 영향을 주지 않음을 확인하였다.

절삭실험을 이용한 저합금강의 유동응력 결정 및 검증 (Determination and Verification of Flow Stress of Low-alloy Steel Using Cutting Test)

  • 안광우;김동후;김태호;전언찬
    • 한국기계가공학회지
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    • 제13권5호
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    • pp.50-56
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    • 2014
  • A technique based on the finite element method (FEM) is used in the simulation of metal cutting process. This offers the advantages of the prediction of the cutting force, the stresses, the temperature, the tool wear, and optimization of the cutting condition, the tool shape and the residual stress of the surface. However, the accuracy and reliability of prediction depend on the flow stress of the workpiece. There are various models which describe the relationship between the flow stress and the strain. The Johnson-Cook model is a well-known material model capable of doing this. Low-alloy steel is developed for a dry storage container for used nuclear fuel. Related to this, a process analysis of the plastic machining capability is necessary. For a plastic processing analysis of machining or forging, there are five parameters that must be input into the Johnson-Cook model in this paper. These are (1) the determination of the strain-hardening modulus and the strain hardening exponent through a room-temperature tensile test, (2) the determination of the thermal softening exponent through a high-temperature tensile test, (3) the determination of the cutting forces through an orthogonal cutting test at various cutting speeds, (4) the determination of the strain-rate hardening modulus comparing the orthogonal cutting test results with FEM results. (5) Finally, to validate the Johnson-Cook material parameters, a comparison of the room-temperature tensile test result with a quasi-static simulation using LS-Dyna is necessary.

Determination of Physical Camera Parameters from DLT Parameters

  • Jeong Soo;Lee Changno;Oh Jaehong
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.233-236
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    • 2004
  • In this study, we analyzed the accuracy of the conversion from DLT parameters to physical camera parameters and optimized the use of DLT model for non-metric cameras in photogrammetric tasks. Using the simulated data, we computed two sets of physical camera parameters from DLT parameters and Bundle adjustment for various cases. Comparing two results based on the RMSE values of check points, we optimized the arrangement of GCPs for DLT.

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Horton 침투 모형의 매개변수 결정 사례 (Case Study on the Determination of the Parameters in the Horton's Infiltration Model)

  • 유주환;윤여진
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2009년도 학술발표회 초록집
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    • pp.107-111
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    • 2009
  • The parameters in the Horton's model which has well known as typical infiltration model were determined by the use of the optimization technique. It was assumed the initial infiltration capacity in this model was related to the antecedent precipitation per 10 days with linear combination. And both the parameters of the ultimate infiltration capacity and the decay factor were determined uniquely on a basin. Thus the optimal model's parameters representative to a basin were obtained and the Horton's infiltration equations by rainstorm events were determined. The data of ten rainstorm events for this study were observed at the Jeonjeokbigyo station located at the Selmacheon experimental basin that was $8.5\;km^2$ wide in the Imjin river.

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측정한 산란계수에 의한 HEMT Modeling 변수의 결정에 관한 연구 (A Study of Determination of the Basic Device Parameters of HEMT Modeling by Measured S-parameter)

  • 박순태;손병문
    • 대한전자공학회논문지TE
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    • 제37권1호
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    • pp.1-11
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    • 2000
  • 본 논문에서는 HEMT의 산란계수와 DC특성을 측정하여 모델링 변수들을 정확하게 추출하는 방법을 제안하였다, HEMT의 소신호 등가회로 모델링 변수들 중 extrinsic 직렬 저항은 측정한 DC특성을 이용하여 FUKUI 방법으로 구하였고, 다른 모델링 변수들은 HP 8510C Network Analyzer를 사용하여 여러 바이어스에서 측정한 S-parameter를 이용하여 변수 값을 결정하였다. 최적화 과정을 거쳐 얻은 등가 회로의 중요한 변수인 gm값은 실제 측정한 gm값과 0.078%오차만을 보인 반면, 제작자가 제공한 데이터를 이용하여 최적화하여 얻은 gm값은 실제 측정한 gm값과 175.38%나 오차를 보였다. 그러므로 반드시 정확하게 측정하여 얻은 초기 값을 가지고 정확한 변수를 측정할 수 있다는 것과 HEMT 모델링 변수들을 추출하는 과정을 자세하게 제시했다.

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