• 제목/요약/키워드: Current prediction

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사천만에서 취송류의 신속예측에 관한 연구 (Study on the Fast Predication of the Wind-Driven Current in the Sachon Bay)

  • 최석원;조규대;김동선
    • 한국환경과학회지
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    • 제8권3호
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    • pp.309-318
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    • 1999
  • In order to fast predict the wind-driven current in a small bay, a convolution method in which the wind-driven current can be generated only wih the local wind is developed and applied in the Sachon Bay. The root mean square(rms) ratio defined as the ratio of the rms error to the rms speed is 0.37. The rms ratio is generally less than 0.2, except for all the mouths of Junju Bay and Namhae-do and in the region between Saryang Island and Sachon. The spatial average of the recover rate of kinetic energy(rrke) is 87%. Thus, the predicted wind-driven current by the convolution model is in a good agreement with the computed one by the numerical model. The raio of the difference between observed residual current (Vr) and predicted wind-driven current (Vc) to a residual current, that is, (Vr-Vc)/Vr shows 56%, 62% at 2 moorings in the Sachon Bay.

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델타 결선형 저인덕턴스 BLDC 전동기의 토크 리플 저감을 위한 전류 보상 기법 (Current Compensation Scheme to Reduce Torque Ripples of Delta-connected Low-inductance BLDC Motor Drives)

  • 박도현;이동춘;이형근
    • 전력전자학회논문지
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    • 제22권5호
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    • pp.449-456
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    • 2017
  • This study proposes a method for compensating for the commutation torque ripple of delta-connected brushless DC motors with low inductance based on a current predictions. At the commutation instant, a phase current at the next sampling period is predicted and compared with the reference phase current to determine whether torque ripples will occur or not. If the predicted current cannot reach the reference phase current, the reference current is modified and the relevant voltage reference is produced to reduce the torque ripple. The validity of the proposed method has been verified by simulation and experimental results. The commutation torque ripple has been decreased by 17.7% at 1,000 rpm and 80% load conditions.

전류추정기에 의한 브러시리스 직류전동기의 상태변수 궤환제어기 설계 (Design of a State Feedback Controller with a Current Estimator in Brushless DC Motors)

  • 오태석;신윤수;김일환
    • 제어로봇시스템학회논문지
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    • 제13권6호
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    • pp.589-595
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    • 2007
  • This paper presents a new method on controller design of brushless dc motors. In such drives the current ripples are generated by motor inductance in stator windings and the back EMF. To suppress the current ripples the current controller is generally used. To minimize the size and the cost of the drives it is desirable to control motors without the current controller and the current sensing circuits. To estimate the motor CUlTent it is modeled by a neural network that is contigured as an output-error dynamic system. The identified model is essentially a one step ahead prediction structure in which past inputs and outputs are used to calculate the current output. Using the model, a state feedback controller to compensate the effects of disturbance has been designed. The controller is implemented by a 16-bit microprocessor and the effectiveness of the proposed control method is verified through experiments.

외식프랜차이즈기업 부실예측모형 예측력 평가 (Evaluating Distress Prediction Models for Food Service Franchise Industry)

  • 김시중
    • 유통과학연구
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    • 제17권11호
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    • pp.73-79
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    • 2019
  • Purpose: The purpose of this study was evaluated to compare the predictive power of distress prediction models by using discriminant analysis method and logit analysis method for food service franchise industry in Korea. Research design, data and methodology: Forty-six food service franchise industry with high sales volume in the 2017 were selected as the sample food service franchise industry for analysis. The fourteen financial ratios for analysis were calculated from the data in the 2017 statement of financial position and income statement of forty-six food service franchise industry in Korea. The fourteen financial ratios were used as sample data and analyzed by t-test. As a result seven statistically significant independent variables were chosen. The analysis method of the distress prediction model was performed by logit analysis and multiple discriminant analysis. Results: The difference between the average value of fourteen financial ratios of forty-six food service franchise industry was tested through t-test in order to extract variables that are classified as top-leveled and failure food service franchise industry among the financial ratios. As a result of the univariate test appears that the variables which differentiate the top-leveled food service franchise industry to failure food service industry are income to stockholders' equity, operating income to sales, current ratio, net income to assets, cash flows from operating activities, growth rate of operating income, and total assets turnover. The statistical significances of the seven financial ratio independent variables were also confirmed by logit analysis and discriminant analysis. Conclusions: The analysis results of the prediction accuracy of each distress prediction model in this study showed that the forecast accuracy of the prediction model by the discriminant analysis method was 84.8% and 89.1% by the logit analysis method, indicating that the logit analysis method has higher distress predictability than the discriminant analysis method. Comparing the previous distress prediction capability, which ranges from 75% to 85% by discriminant analysis and logit analysis, this study's prediction capacity, which is 84.8% in the discriminant analysis, and 89.1% in logit analysis, is found to belong to the range of previous study's prediction capacity range and is considered high number.

JM KTA 소프트웨어에서 인트라 및 인터 예측블록이 혼합된 코딩 방법 (Adaptive Combination of Intra/Inter Predictions in JM KTA Software)

  • 김민재;서찬원;장명훈;한종기
    • 방송공학회논문지
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    • 제16권2호
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    • pp.190-206
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    • 2011
  • 본 논문에서는 KTA 소프트웨어의 부호화 효율을 향상시키기 위하여 인트라 예측과 인터 예측을 적응적으로 혼합하여 사용하는 방법을 제안한다. 제안하는 알고리즘은 확장된 매크로 블록 내에서 인터 예측 블록들을 먼저 부호화 및 복호화한 후 그 복원값들을 인트라 예측 부호화 과정에서 이용한다. 기존의 인트라 예측 방법에서는 현재 블록의 우측과 하단에 위치한 화소들을 이용하지 못하였으나, 제안 알고리즘에서는 현재 부호화하려는 블록의 상단과 좌측뿐만 아니라 우측 또는 하단의 복호화가 완료된 화소를 이용하여 양방향 인트라 예측을 수행한다. 이를 위해서 양방향 예측 필터를 디자인하였고, 확장 매크로블록 내의 매크로블록들의 적응적인 코딩 순서 정보를 전달하기 위해서 신택스 구조를 수정하였다. 컴퓨터 실험 결과를 통하여 제안하는 방법이 기존 기술에 비해 압축효율을 향상시키는 것을 알 수 있었다.

A Noise Reduction Method with Linear Prediction Using Periodicity of Voiced Speech

  • Sasaoka, Naoto;Kawamura, Arata;Fujii, Kensaku;Itoh, Yoshio;Fukui, Yutaka
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 ITC-CSCC -1
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    • pp.102-105
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    • 2002
  • A noise reduction technique to reduce background noise in corrupted voice is proposed. The proposed method is based on linear prediction and takes advantages of periodicity of voiced speech. A voiced sound is regarded as a periodic stationary signal in short time interval. Therefore, the current voice signal is correlated with the voice signal delayed by a pitch period. A linear predictor can estimate only the current signal correlated with the delayed signal. Therefore, the enhanced voice can be obtained as output of the linear predictor. Simulation results show that the proposed method is able to reduce the background noise.

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Implementation of low power algorithm for near distance wireless communication and RFID/USN systems

  • Kim, Song-Ju;Hwang, Moon-Soo;Kim, Young-Min
    • International Journal of Contents
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    • 제7권1호
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    • pp.1-7
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    • 2011
  • A new power control algorithm for wireless communication which can be applied to various near distance communications and USN/RFID systems is proposed. This technique has been applied and tested to lithium coin battery operated UHF/microwave transceiver systems to show extremely long communication life time without battery exchange. The power control algorithm is based on the dynamic prediction method of arrival time for incoming packet at the receiver. We obtain 16mA current consumption in the TX module and 20mA current consumption in the RX module. The advantage provided by this method compared to others is that both master transceiver and slave transceiver can be low power consumption system.

평면이방성을 고려한 사각엠보싱 공정의 미세면굴곡에 대한 연구 (A Study on the Surface Deflection in Rectangular Embossing Considering Planar Anisotropy)

  • 김진학;정완진
    • 소성∙가공
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    • 제22권6호
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    • pp.310-316
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    • 2013
  • Recently, numerical predictions of surface deflection based on curvature analysis have been developed. In the current study, a measure of surface deflection is proposed as the maximum variation of curvature difference between the panel and the tool in order to account for surfaces that have high curvature. The current study focused on the assessment of accuracy for the surface deflection prediction with the consideration of planar anisotropy. As an example, a shallow rectangular drawn part with rectangular embossing was considered. In terms of the proposed surface deflection measure, the maximum variation of curvature difference, the prediction with a planar anisotropic model shows better correspondence with experiment than the one using a normal anisotropic model.

고강도강 차체 박판부품 프레스성형 CAE의 예측 정확도 고찰 (Investigation of the Prediction Accuracy for the Stamping CAE of Thin-walled Automotive Products)

  • 정대근;김세호;노재동
    • 소성∙가공
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    • 제23권7호
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    • pp.446-452
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    • 2014
  • In the current study finite element forming analysis is performed to understand the final geometric accuracy limitations for the stamping of an automotive S-rail from four different steel sheets having tensile strengths of 340MPa, 440MPa, 590MPa and 780MPa. Comparisons between the analysis and the experiments for both springback and formability as measured by the amount of edge draw-in and the thickness distribution were conducted. The springback modes were classified according to a scheme proposed in the current investigation and the error was calculated using the normalized root mean square error method. While the analysis results show fairly good agreement with the experimental data for deformation and formability, the simulation accuracy is lower for predicting wall curl, camber and section twist as the UTS of steel sheet increases.

지식기반 임금예측시스템 설계와 구축사례 (Design and Implementation of a Knowledge - Based Wage Rate Prediction System)

  • 조재희
    • Asia pacific journal of information systems
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    • 제4권1호
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    • pp.3-31
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    • 1994
  • Potential employers considering locations for production or service facilities typically equire detailed advance knowledge of the wages they will be expected to offer for workers in various occupational categories. The State of Missouri s Department of Labor and Industrial Relations is often contacted by organizations requesting such information. The current wage rate survey approach, initiated in 1988, allows the Department to predict an appropriate wage rate for a given occupation in certain counties, adjusted for changes in the Consumer Price Index (CPI). However, both Department employees and firms have indicated that improved prediction responsiveness and accuracy are desirable. A major deficiency of the current approach is its inability to predict wages for unsurveyed counties. This paper describes a knowledge-based system (KBS), currently in the prototype testing stage, that is expected to supplement the wage rate survey in the near future.

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