• Title/Summary/Keyword: Estimation equation

검색결과 1,844건 처리시간 0.029초

The Effect of Predictive Reaeration Estimation Equation on Stream Water Quality Modeling

  • Kim, Hyung-Joong
    • 한국농공학회지
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    • 제39권2호
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    • pp.97-103
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    • 1997
  • DO concentration in the aquatic system is important for the water quality management perspective. Water quality model uses available reaeration coefficient (K2) estimation equations in calculating DO, however, they might include inevitable uncertainty that the model output can be less reliable. In this study, the calibrated QUAL2E model for the Passaic River in New Jersey, U.S., was used to examine the effect of K2 estimation equation on the output DO concentration of the river. The model was run with six commonly used equations separately with all the other conditions remained same. The result showed that the output DO concentration profiles varied widely with different equations, and maximum difference was 4.96 mg/L for the same location which is unacceptably large. It implies that the development of reliable equation is required for proper water quality management. The unreliable model output can lead to a wrong decision in water quality management such as unnecessarily high or too low treatment of wastewater, which will cause serious effect on the community economically and socially in either case. Generating more reliable model output with slight investment to develop a site specific K$_2$ equation can improve the decision making process significantly and is highly recommended.

해외 토사유출량 산정공식의 국내적용성 검토 (I);RUSLE를 중심으로 (Applicability Examination of the RUSLE Sediment Yield Prediction Equation in Korea)

  • 손광익
    • 한국수자원학회논문집
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    • 제34권3호
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    • pp.199-207
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    • 2001
  • 개발에 의하여 증가된 토사유출량의 유역외 배출을 최소화하기 위한 침사지 등의 설계에 필요한 검증된 토사유출량 산정기법이 국내에는 없는 실정이다. 따라서 본 연구에서는 현재까지 개발된 각종 장·단시간 호우에 대한 외국의 토사유출량 산정 기법들 중 개정범용토양손실공식(RUSLE)의 국내 적용 가능성을 검토하였다. 전국 7개 개발현장에서 실측한 강우 및 토사유출량 자료를 RUSLE공식에 적용, 그 적용범위 및 한계성 등을 검토한 결과 국내 개발지역에 대한 토사생산량 산정기법으로써의 가능성을 확인하였으며 RUSLE공식의 적용시 우리나라에서 많이 범하고 있는 각 인자별 산정 오류에 대해서도 검토하였다. RUSLE공식 적용시 필요한 토사전달률에 대해서도 우리나라에 적합한 두 가지 기법을 제시하였다.

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Adaptive Estimation of Hairy Root Mass Using Conductometry

  • Kim, Ji-Hyeon;Yoo, Young-Je
    • Journal of Microbiology and Biotechnology
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    • 제13권5호
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    • pp.641-646
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    • 2003
  • An accurate and efficient method for measuring the mass of hairy roots using conductometry is established. A conductivity equation expressed in terms of the concentration of the ion species in the medium is suggested. By using this equation, the effect of the individual ions on the total conductivity can be quantitatively analyzed. An equation for the in situ estimation of the cell growth coefficient for determining the mass of hairy roots is established based on measurements of the nitrogen concentration and conductivity during cultivation. The proposed equation does not require preliminary experiments to determine the cell growth coefficient. Instead, the physiological characteristics of the plant species are reflected by introducing the cellular nitrogen content. Since the cell growth coefficient is determined by measuring the major ionic nutrient concentrations, it is more effective to express the dynamics of an actual culture system. This improved method for determining the mass of hairy roots was successfully utilized in a fed-batch culture system.

방위각 정보만을 이용한 비선형 표적추적필터 (Nonlinear Bearing Only Target Tracking Filter)

  • 윤장호
    • 항공우주시스템공학회지
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    • 제10권1호
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    • pp.8-14
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    • 2016
  • The optimal estimation of a bearing only target tracking problem be achieved through the solution of the Fokker-Planck equation and the Bayesian update. Recently, a nonlinear filtering algorithm using a direct quadrature method of moments in which the associated Fokker-Planck equation can be propagated efficiently and accurately was proposed. Although this approach has demonstrated its promising in the field of nonlinear filtering in several examples, the "degeneracy" phenomenon, similar to that which exists in a typical particle filter, occasionally appears because only the weights are updated in the modified Bayesian rule in this algorithm. Therefore, in this paper to enhance the performance, a more stable measurement update process based upon the update equation in the Extended Kalman filters and a more accurate initialization and re-sampling strategy for weight and abscissas are proposed. Simulations are used to show the effectiveness of the proposed filter and the obtained results are promising.

Non-linear distributed parameter system estimation using two dimension Haar functions

  • Park Joon-Hoon;Sidhu T.S.
    • Journal of information and communication convergence engineering
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    • 제2권3호
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    • pp.187-192
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    • 2004
  • A method using two dimension Haar functions approximation for solving the problem of a partial differential equation and estimating the parameters of a non-linear distributed parameter system (DPS) is presented. The applications of orthogonal functions, including Haar functions, and their transforms have been given much attention in system control and communication engineering field since 1970's. The Haar functions set forms a complete set of orthogonal rectangular functions similar in several respects to the Walsh functions. The algorithm adopted in this paper is that of estimating the parameters of non-linear DPS by converting and transforming a partial differential equation into a simple algebraic equation. Two dimension Haar functions approximation method is introduced newly to represent and solve a partial differential equation. The proposed method is supported by numerical examples for demonstration the fast, convenient capabilities of the method.

6자유도 운동재현용 베드의 순기구학 추정기 설계 (Design of the Estimator of Forward Kinematics Solution for a 6 DOF Motion Bed)

  • 강지윤;김동환;이교일
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1996년도 춘계학술대회 논문집
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    • pp.483-487
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    • 1996
  • We consider the estimation of the position and orientation of 6 DOF motion bed (Stewart platform) from the measured cylinder length. The solution of forward kinematics is not solved yet as a useful realtime application tool because of the complity of the equation with multiple solutiple solutions. Hence we suggest an algorithm for the estimation of forward kinematics solution using Luenberger observer withnonlinear error correction term. The Luenberger observer withlinear model shows that the estimation error does not go to zero in steadystate due to the linearization error of the dynamic model. Hence the linear observer is modified using nonlinear measurement error equation and we prove thd practical stability of the estimation error dynamics of the proposed observer using lyapunov function.

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사출 성형 플라스틱 단붙이 기어의 강도평가 (Strength Estimation of Injection Molded Plastic Stepped Spur Gear)

  • 정태형;문창기;하영욱
    • 한국공작기계학회논문집
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    • 제15권3호
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    • pp.17-23
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    • 2006
  • The strength estimation is carried out for injection molded plastic stepped gear. The stepped gear is considered as a plate model which is fixed by two edges and freed on the other sides. The stress of common normal gear is calculated by Lewis formula which can be derived quite simply from the equation fur the stress at the root of a cantilever beam. Stress ratio(step factor) between the common normal gear and stepped gear is proposed for the ratio of the bending stress of normal gear and that of stepped gear. This study proposes the step factor added in Dupont equation which is used for strength estimation of injection molded plastic stepped gear.

최적화 기법에 의한 비선형 시스템에서의 강인한 적응 관측기 설계 (Robust Adaptive Observer Design for a Class of Nonlinear Systems via an Optimization Method)

  • 정종철;허건수
    • 대한기계학회논문집A
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    • 제30권10호
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    • pp.1249-1254
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    • 2006
  • Existing adaptive observers may cause the parameter drifts due to disturbances even if state estimation errors remain small. To avoid the drift phenomena in the presence of bounded disturbances, several robust adaptive observers have been introduced addressing bounds in state and parameter estimates. However, it is not easy for these observers to manipulate the size of the bounds with the selection of the observer gain. In order to reduce estimation errors, this paper introduces the (equation omitted) gain minimization problem in the adaptive observer structure, which minimizes the (equation omitted) gain between disturbances and estimation errors. The stability condition of the adaptive observer is reformulated as a linear matrix inequality, and the observer gain is optimally chosen by solving the convex optimization problem. The estimation performance is demonstrated through a numerical example.

나선근에 의한 횡보강 응력 계산을 위한 횡보강 유효 계수의 산정법 (Estimation of Confinement Effectiveness Factor for Confining Stress by Spiral)

  • 김진근;박찬규
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 1995년도 봄 학술발표회 논문집
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    • pp.280-285
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    • 1995
  • In order to predict the behavior of column confined with spirals, the accurate estimation of confining stress by spiral is very important, Thus a number of models have been proposed for calculating the confining stress by spiral. However, in these equations, it was not considered the effects of the difference of mechanical characteristics related to the application of high strength concrete and spiral in structures. In this study, a model equation for calculation of the confining stress by spiral was proposed based on the test results investigated here. The proposed equation included the effects of concrete strength, spacing and yield strength of spirals

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유한구간 임펄스 응답 평활기의 최적 지연시간에 대한 연구 (A study of the optimal lag size of FIR smoothers)

  • 권보규;한수희;권욱현
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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    • pp.95-97
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    • 2007
  • In this paper, we propose the optimal lag size which is optimize the performance of the fixed-lag minimum variance FIR smoother. Since the performance of estimation is represented with two Riccati equation and the nonlinear equation of lag size, it is difficult to obtain the optimal lag size. Therefore, we consider the optimal lag size for the scalar system and the numerical example is provided to demonstrate the proposed algorithm.

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