• Title/Summary/Keyword: Conduct Parameter

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Dallas-Forth Worth 우유시장의 시장지배력 측정에 관한 연구 (An Empirical Analysis of Market Power in The Dallas-Forth Worth Milk Market)

  • 김동훈
    • 국제지역연구
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    • 제14권3호
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    • pp.35-60
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    • 2010
  • 이 논문은 동태게임이론에 바탕을 둔 구조모형을 개발하여 미국 Dallas-Forth Worth 지역의 우유시장의 시장지배력을 측정하였다. 특히, 정태모형에서 도출된 담합추정 파라미터와 동태모형에서 도출된 파라미터를 비교하였으며 정태모형을 이용한 시장지배력 측정의 편기를 분석하였고 기업들의 담합행동의 순환적인 행동도 분석하였다. 분석 결과에 따르면 기업들의 행위가 동태적인 과점이론을 따를 경우 정태모형은 시장지배력을 과소평가하는 경향을 나타내고 있으며 Dallas-Forth Worth 우유시장에서 기업들의 담합 행위는 수요충격과 미래에 예상되는 비용충격에 반순환적인(countercyclical) 모습을 보여주고 있다. Dallas-Forth Worth 시장의 결과는 이론적인 동태과점모형의 예측과 일치하고 있다. 이는 기업들이 가격책정이 다른 기업들의 현재 시장에서의 반응뿐만 아니라 미래의 시장경쟁상황도 고려하여 이루어지고 있음을 나타낸다. 따라서 시장지배력의 검정은 이런 동태적 경쟁을 고려하도록 가격책정관계식을 설정하는 것이 필요하다고 할 수 있다. 그리고 정태 계량모형을 데이터에 무원칙하게 적용하는 것은 시장의 경쟁상황에 대한 잘못된 해석을 유발할 수 있다.

LabView기반 6축 수직 다관절 로봇의 파라미터 스케쥴링 프로그래밍에 관한 연구 (Application of LabView-Based Parameter Scheduling Programming for a 6-Axis Articulated Robot)

  • 김성빈;정원지;김효곤
    • 한국생산제조학회지
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    • 제24권3호
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    • pp.327-333
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    • 2015
  • As industrial robots come into wider use, their control techniques are being developed along with enhancements in their performance. Specially, the dynamic performance of a 6-axis articulated industrial robot is greatly changed according to the position and orientation of the robot. This means that the PI parameter tuning of the robot and orientation of the robot. This mconsidering the dynamic characteristics of robot mechanism. In this study, $LabView^{(R)}$ programming was applied to automatically conduct parameter scheduling for various robot motions. Using forward and inverse kinematics of RS2, we can divide the working envelope of RS2 into 24 subspaces. We then conduct the gain-tuning according to each subspace. Finally, we program the actual gain scheduling, in which the optimized gain-tuning for each subspace to be passed should be changed for various robot motions using $LabView^{(R)}$.

Bayesian Confidence Intervals in Penalized Likelihood Regression

  • Kim Young-Ju
    • Communications for Statistical Applications and Methods
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    • 제13권1호
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    • pp.141-150
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    • 2006
  • Penalized likelihood regression for exponential families have been considered by Kim (2005) through smoothing parameter selection and asymptotically efficient low dimensional approximations. We derive approximate Bayesian confidence intervals based on Bayes model associated with lower dimensional approximations to provide interval estimates in penalized likelihood regression and conduct empirical studies to access their properties.

하이브리드시스템 모델링 기반 발전기 전력시스템 안정화장치 정수선정 기법 (Parameter Selection Method for Power System Stabilizer of a Power Plant based on Hybrid System Modeling)

  • 백승묵
    • 전기학회논문지
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    • 제63권7호
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    • pp.883-888
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    • 2014
  • The paper describes the parameter tuning of power system stabilizer (PSS) for a power plant based on hybrid system modeling. The existing tuning method based on bode plot and root locus is well applied to keep power system stable. However, due to linearization of power system and an assumption that the parameter ratio of the lead-lag compensator in PSS is fixed, the results cannot guarantee the optimal performances to damp out low-frequency oscillation. Therefore, in this paper, hybrid system modeling, which has a DAIS (differential-algebraic-impusive-switched) structure, is applied to conduct nonlinear modeling for power system and find optimal parameter set of the PSS. The performances of the proposed method are carried out by time domain simulation with a single machine connected to infinite bus (SMIB) system.

The Effect of Methods of Estimating the Ability on The Accuracy and Items Parameters According to 3PL Model

  • Almaleki, Deyab A.;Alomrany, Ahoud Ghazi
    • International Journal of Computer Science & Network Security
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    • 제21권7호
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    • pp.93-102
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    • 2021
  • This study aimed to test method on the accuracy of estimating the items parameters and ability, using the Three Parameter Logistic. To achieve the objectives of the study, an achievement test in chemistry was constructed for third-year secondary school students in the course of "natural sciences". A descriptive approach was employed to conduct the study. The test was applied to a sample of (507) students of the third year of secondary school in the "Natural Sciences Course". The study's results revealed that the (EAP) method showed a higher degree of accuracy in the estimation of the difficulty parameter and the abilities of persons higher than the MML method. There were no statistically significant differences in the accuracy of the parameter estimation of discrimination and guessing regarding the difference of the two methods: (MML) and (EAP).

Sensitivity of WindSIM in Complex Terrain

  • 신종원;한경섭
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2010년도 추계학술대회 초록집
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    • pp.180.2-180.2
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    • 2010
  • The purpose of this research is to analyze the sensitivity of WindSIM in complex terrain. As the flat areas for wind turbine installation become scarce globally, it becomes inevitable to install wind turbines in complex terrain. In order to predict annual energy production (AEP) in a more precise manner in complex terrain, it is of great importance to conduct such research. Three parameters: reference velocity, roughness and resolution have been chosen to see to which parameter WindSIM was the most sensitive in terms of annual energy production in complex terrain. By fixing two parameters and setting one parameter as a variable, it could be easily found that how annual energy production was effected by the change in each parameter.

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레이저 용접공정의 자동화를 위한 신경망 모델과 목적함수를 이용한 최적화 기법 개발 (Development of Optimization Methodology for Laser Welding Process Automation Using Neural Network Model and Objective Function)

  • 박영환
    • 한국공작기계학회논문집
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    • 제15권5호
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    • pp.123-130
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    • 2006
  • In manufacturing, process automation and parameter optimization are required in order to improve productivity. Especially in welding process, productivity and weldablity should be considered to determine the process parameter. In this paper, optimization methodology was proposed to determine the welding conditions using the objective function in terms of productivity and weldablity. In order to conduct this, welding experiments were carried out. Tensile test was performed to evaluate the weldability. Neural network model to estimate tensile strength using the laser power, welding speed, and wire feed rate was developed. Objective function was defined using the normalized tensile strength which represented the weldablilty and welding speed and wire feed rate which represented the productivity. The optimal welding parameters which maximized the objective function were determined.

Inflow Prediction and First Principles Modeling of a Coaxial Rotor Unmanned Aerial Vehicle in Forward Flight

  • Harun-Or-Rashid, Mohammad;Song, Jun-Beom;Byun, Young-Seop;Kang, Beom-Soo
    • International Journal of Aeronautical and Space Sciences
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    • 제16권4호
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    • pp.614-623
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    • 2015
  • When the speed of a coaxial rotor helicopter in forward flight increases, the wake skew angle of the rotor increases and consequently the position of the vena contracta of the upper rotor with respect to the lower rotor changes. Considering ambient air and the effect of the upper rotor, this study proposes a nonuniform inflow model for the lower rotor of a coaxial rotor helicopter in forward flight. The total required power of the coaxial rotor system was compared against Dingeldein's experimental data, and the results of the proposed model were well matched. A plant model was also developed from first principles for flight simulation, unknown parameter estimation and control analysis. The coaxial rotor helicopter used for this study was manufactured for surveillance and reconnaissance and does not have any stabilizer bar. Therefore, a feedback controller was included during flight test and parameter estimation to overcome unstable situations. Predicted responses of parameter estimation and validation show good agreement with experimental data. Therefore, the methodology described in this paper can be used to develop numerical plant model, study non-uniform inflow model, conduct performance analysis and parameter estimation of coaxial rotor as well as other rotorcrafts in forward flight.

벡터 회로망 분석기 측정을 기반으로 한 3상 변압기의 시간영역 펄스 신호에 대한 응답 분석 (The Response to Impulse Signal on Three Phase Transformer using Vector Network Analyzer)

  • 김광호;정종만;나완수
    • KEPCO Journal on Electric Power and Energy
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    • 제1권1호
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    • pp.79-84
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    • 2015
  • Transformer is widely used element on power system and industrial area. Especially the transformers installed at power system are exposed to an environment of arbitrary changed. Thus the prediction of degradation and the analysis of response to impulse are important. To conduct those works, the electrical characteristics of system should be analyzed, effectively. But the analysis of electrical characteristic in electric machine level such as pole and pad-mounted transformer is almost no, thus commercial VNA (Vector Network Analyzer) is used to getting the response in wide frequency range. However, the output power of VNA is usually under 10mW, so verification for effectiveness of measuring electrically large component should be conducted, firstly. Next, after getting total S-parameter of transformer, predicting impulse response can be performed in time-domain with circuit simulator. In this paper, it is introduced that verification effectiveness of VNA using transfer function from SFRA (Sweep Frequency Response Analyzer), firstly. Next, total S-parameter, six by six matix form, was built using measured 2 port S-parameter from vector network analyzer. To get the response to impulse which is defined by IEC 60060-1, time-domain simulation is conducted to ADS (Advenced Design System) circuit simulator.

Distributed Estimation Using Non-regular Quantized Data

  • Kim, Yoon Hak
    • Journal of information and communication convergence engineering
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    • 제15권1호
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    • pp.7-13
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    • 2017
  • We consider a distributed estimation where many nodes remotely placed at known locations collect the measurements of the parameter of interest, quantize these measurements, and transmit the quantized data to a fusion node; this fusion node performs the parameter estimation. Noting that quantizers at nodes should operate in a non-regular framework where multiple codewords or quantization partitions can be mapped from a single measurement to improve the system performance, we propose a low-weight estimation algorithm that finds the most feasible combination of codewords. This combination is found by computing the weighted sum of the possible combinations whose weights are obtained by counting their occurrence in a learning process. Otherwise, tremendous complexity will be inevitable due to multiple codewords or partitions interpreted from non-regular quantized data. We conduct extensive experiments to demonstrate that the proposed algorithm provides a statistically significant performance gain with low complexity as compared to typical estimation techniques.