• Title/Summary/Keyword: root-mean-square error

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Simulating Cutting Forces in Milling Machines Using Multi-layered Neural Networks (다층 신경회로망에 의한 밀링가공의 절삭력 시뮬레이션)

  • Lee, Sin-Young
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.25 no.4
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    • pp.271-280
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    • 2016
  • Predicting cutting forces in machine tools is essential to productivity improvement and process control in the manufacturing field. Furthermore, milling machining is more complicated than turning machining. Therefore, several studies have been conducted previously to simulate milling forces; this study aims to simulate the cutting forces in milling machines using multi-layered neural networks. In the experiments, the number of layers in these networks was 3 and 4 and the number of neurons in the hidden layers was varied from 20 to 200. The root mean square errors of simulated cutting force components were obtained from taught and untaught data for the various neural networks. Results show that the error trends for untaught data were non-uniform because of the complex nature of the cutting force components, which was caused by different cutting factors and nonlinear characteristics coming into play. However, trends for taught data showed a very good coincidence.

Comparison of KOMPSAT-2 Geometric Correction Imagery Accuracy by GCP Selection (지상기준점선택에 따른 KOMPSA를-2영상의 기하보정 정확도 비교)

  • Kee, Tae-Young;Hong, Min-Gee;Kim, Choen;Choi, Joon-Soo
    • Proceedings of the KSRS Conference
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    • 2009.03a
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    • pp.270-274
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    • 2009
  • 한반도의 정밀관측을 목적으로 개발된 KOMPSAT-2위성의 영상을 활용하기 위해서는 촬영 시 발생하는 기하학적 왜곡의 보정이 필요하다. 본 연구에서는 지상기준점(Ground Control Point: GCP) 선택의 세 가지 특성을 각각 적용하여 기하보정을 하였다. 보정 영상의 정확도 검정을 위하여 수치지도(digital map)를 이용한 평균제곱근오차(Root Mean Square Error: RMSE)와 육안검사를 통해 정확도를 비교하였다. 그 결과 영상의 중앙은 선형 교차점을 선택한 방법이 가장 정확하였고, 가장자리는 건물의 모서리 또는 건물의 중심을 선택한 방법이 우수하였다.

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Simulations of Capacitive Cross-talk Effects on TFT-LCD Operational Characteristics (TFT-LCD 특성에 미치는 Capacitive Cross-talk의 영향에 대한 시뮬레이션)

  • 윤영준;정순신;김태형;최종선
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 1999.11a
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    • pp.557-560
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    • 1999
  • The design of large area thin film transistor liquid crystal displays (TFT-LCDs) requires consideration of cross-talks between the data lines and pixel electrodes. These limits are imposed by the parasitic capacitive elements present in a pixel. The capacitive coupling of the data line signal onto the pixel causes a pixel voltage error. In this study semi-empirical capacitance model which is adopted from VLSI interconnection capacitance calculations was used to calculate mutual coupling capacitances. With calculated mutual coupling capacitances and given image pattern, the root mean square(RMS) voltage of pixel is calculated to see vertical cross-talk from the first to the last column. The information obtained from this study could be utilized to design the larger area and finer image quality panel.

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Estimation of the exponential distribution based on multiply Type I hybrid censored sample

  • Lee, Kyeongjun;Sun, Hokeun;Cho, Youngseuk
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.3
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    • pp.633-641
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    • 2014
  • The exponential distibution is one of the most popular distributions in analyzing the lifetime data. In this paper, we propose multiply Type I hybrid censoring. And this paper presents the statistical inference on the scale parameter for the exponential distribution when samples are multiply Type I hybrid censoring. The scale parameter is estimated by approximate maximum likelihood estimation methods using two different Taylor series expansion types ($AMLE_I$, $AMLE_{II}$). We also obtain the maximum likelihood estimator (MLE) of the scale parameter ${\sigma}$ under the proposed multiply Type I hybrid censored samples. We compare the estimators in the sense of the root mean square error (RMSE). The simulation procedure is repeated 10,000 times for the sample size n=20 and 40 and various censored schemes. The $AMLE_{II}$ is better than $AMLE_I$ in the sense of the RMSE.

Estimation of the half-logistic distribution based on multiply Type I hybrid censored sample

  • Shin, Hyejung;Kim, Jungdae;Lee, Changsoo
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.6
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    • pp.1581-1589
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    • 2014
  • In this paper, we consider maximum likelihood estimators of the location and scale parameters for the half-logistic distribution when samples are multiply Type I hybrid censored. The scale parameter is estimated by approximate maximum likelihood estimation methods using two different Taylor series expansion types ($\hat{\sigma}_I$, $\hat{\sigma}_{II}$). We compare the estimators in the sense of the root mean square error (RMSE). The simulation procedure is repeated 10,000 times for the sample size n=20 and 40 and various censored schemes. The approximate MLE of the second type is better than that of the first type in the sense of the RMSE. Further an illustrative example with the real data is presented.

Practical Parameter Identification Method for DC Motor Model using the Extend Kalman Filter (확장 칼만 필터를 이용한 직류 모터 모델의 실용적인 계수 동정 기법)

  • Kim, Min-Jeung;Lee, Hye-Jin;Park, Jin-Bae
    • Proceedings of the KIEE Conference
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    • 2005.07c
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    • pp.2444-2446
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    • 2005
  • 본 논문에서는 확장 칼만 필터를 이용하여 직류 모터의 동특성을 실용적으로 모델링하는 방법을 제안한다. 먼저 시험을 통해 모터의 주파수 별 응답 특성을 추출하고 이로부터 확장 칼만 필터를 이용하여 출력전압의 이득 감쇄와 위상 지연을 추정한다. 추정된 값을 이용하여 모터의 선형 동특성을 모델링하고, 각각의 비선형 요소를 추가시키면서 모델 출력과 실제 시험을 통해 획득한 각속도 출력의 RMSE (Root Mean Square Error)를 최소화시키는 비선형 계수 값을 산출하여 최종적인 직류 모터의 모델을 완성한다.

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A Study of Current Ripple Reduction Due to Offset Error in SRF-PLL for Single-Phase Grid-connected Converters (단상 계통연계형 컨버터의 SRF-PLL 옵셋 오차로 인한 전류 맥동 저감에 관한 연구)

  • Seong, Eui-Seok;Jeong, Byeong-Guk;Hwang, Seon-Hwan;Kim, Jang-Mok
    • Proceedings of the KIPE Conference
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    • 2014.07a
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    • pp.451-452
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    • 2014
  • 본 논문에서는 단상 계통연계형 컨버터의 전원 위상각을 추종함에 있어 필수적인 전압 센서의 옵셋 오차에 대한 영향을 분석하고 이를 검출 및 보상하기 위한 알고리즘을 제안하였다. 전원전압 측정에 따른 옵셋 오차는 전원 주파수의 1배 맥동을 야기하여 전원 위상각이 왜곡된다. 왜곡된 전원 위상각에 의한 좌표변환시 동기 좌표계 dq축 전류에 전원 주파수 1배의 맥동을 야기하며 이는 계통측 상전류에 직류성분과 전원 주파수 2배의 고조파 성분을 발생시키게 된다. 따라서, 본 논문에서는 전원측정시 야기되는 옵셋 오차의 영향을 분석하고 이의 검출신호로 전원 위상각 제어기의 적분출력을 선정하였다. 또한 RMS(Root Mean Square) 기법을 이용하여 옵셋 성분을 검출 및 보상하는 알고리즘을 제안하였다. 제안된 알고리즘의 성능은 시뮬레이션과 실험을 통하여 검증하였다.

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Frequency/Amplitude Separation Algorithm Using the Higher Order Differential Energy Operator and Its Application (고차의 미분에너지함수를 이용한 주파수 및 진폭성분 추출 알고리즘과 응용)

  • Iem, Byeong-Gwan
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.8
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    • pp.1498-1502
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    • 2007
  • There have been many different definitions of energy functions as the second statistics of a signal. In this paper, using the higher order differential energy function, we propose an algorithm separating the amplitude and frequency components in a discrete sinusoidal signal. The proposed amplitude and frequency estimation methods have less computational requirement than the existing methods. It also shows large computational advantage over the root mean square (RMS) calculation of a signal. The proposed methods can be used in the detection of abnormal events in signals on the power line. Computer simulations show that proposed frequency estimation method can detect the presence of voltage increase or decrease for a short period of time. Also, the proposed estimation methods have been compared with existing methods in terms of estimation error variance.

Practical Parameter Identification Method for DC Motor Model using the Extended Kalman Filter (확장 칼만 필터를 이용한 직류 모터 모델의 실용적인 계수 동정 기법)

  • Kim, Min-Jeung;Lee, Hye-Jin;Park, Jin-Bae
    • Proceedings of the KIEE Conference
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    • 2005.07b
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    • pp.1802-1804
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    • 2005
  • 본 논문에서는 확장 칼만 필터를 이용하여 직류 모터의 동특성을 실용적으로 모델링하는 방법을 제안한다. 먼저 시험을 통해 모터의 주파수 별 응답 특성을 추출하고 이로부터 확장 칼만 필터를 이용하여 출력 전압의 이득 감쇄와 위상 지연을 추정한다. 추정된 값을 이용하여 모터의 선형 동특성을 모델링하고, 각각의 비선형 요소를 추가시키면서 모델 출력과 실제 시험을 통해 획득한 각속도 출력의 RMSE(Root Mean Square Error)를 최소화시키는 비선형 계수 값을 산출하여 최종적인 직류 모터의 모델을 완성한다.

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Comparison of a Microbiological Model Simulation with Microcosm Data

  • Lee, Jae-Young;Tett, Paul;Jones, Ken
    • Journal of the korean society of oceanography
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    • v.39 no.4
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    • pp.222-233
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    • 2004
  • Using nitrogen as the limiting nutrient, the default version of a microplankton-detritus model linked chlorophyll concentration to the autotroph nitrogen. However, phosphorus dynamics were added to simulate the results of a microcosm experiment. Using standard parameter values with a single value of microheterotroph fraction in the microplankton taken from the observed range, the best simulation successfully captured the main features of the time-courses of chlorophyll and particulate organic carbon, nitrogen and phosphorus, with root-mean-square error equivalent to 29% of particulate concentration. A standard version of microbiological model assumes complete internal cycling of nutrient elements; adding a term for ammonium and phosphate excretion by microheterotrophs did not significantly improve predictions. Relaxing the requirement for constant microheterotroph fraction resulted in an autotroph-heterotroph model AH, with dynamics resembling those of a Lotka-Volterra predator-prey system. AH fitted the microcosm data worse than did MP, justifying the suppression of Lotka-Volterra dynamics in MP. The paper concludes with a discussion of possible reasons for the success of the simple bulk dynamics of MP in simulating microplankton behaviour.