• 제목/요약/키워드: model averaging

검색결과 301건 처리시간 0.027초

PC를 이용한 직류서어보 전동기의 파라미터 측정의 자동화에 관한 연구 (A Study on the Automation of the Parameter Measurement of D.C.Servomotors Using a PC)

  • 천희영;박귀태;임장철;장영학
    • 대한전기학회논문지
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    • 제38권9호
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    • pp.710-723
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    • 1989
  • This paper describes the efforts to develope a PC based parameter identification system for D.C servomotors. A new identification algorithm for the D.C. servomotor parameters is developed. The algorithm is implemented on 16 bit IBM-PC/XT using the C language. The whole identification process of signal generation, measuring and parameter determination is fully automated. To minimize the errors due to the ripple component in the measured armature currents, digital averaging filter is employed. The proposed parameter correction method using the deadzone current and the time to reach the peak current resulted in excellent agreement between the measured current and the current estimated using the model.

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다중 스테레오를 위한 DEM 융합기법 (OEM Fusion Technique for Multi-Image stereo)

  • 김민석;우동민
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 하계학술대회 논문집 D
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    • pp.3047-3049
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    • 2000
  • The ability to efficiently and robustly recover accurate 3D terrain models from sets of stereoscopic images is important to many civilian and military applications. To develop an effective and practical terrain modeling system. We propose the methods which detect unreliable elevations in digital elevation maps (DEMs). and fuse several DEMs from multiple sources into an accurate and reliable result. This paper focuses on two key factors for generating robust 3D terrain models. the ability to detect unreliable elevation estimates. and to fuse the reliable elevations into a single optimal terrain model. We apply the correlation score methodology to reconstruct accurate DEM for multi-image and show the method is more effective than the conventional averaging method. The photo-realistic simulator is used for generating four simulated images from ground truth DEM and orthoimage.

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Video Codec 화질 개선을 위한 순차적 적응형 칼만 필터링 연구 (A Sequencial Adaptive Kalman Filtering for Video Codec Image Enhancement)

  • 백원진;이종수;김수원;박진우
    • 한국통신학회논문지
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    • 제15권12호
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    • pp.1031-1043
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    • 1990
  • 비디오 코덱의 입력 또는 출력 영상에 내재하는 여러 종류의 영상잡음을 제어하고 최적으로 영상을 복원시키고자 코우절 영상 모델이 적용된 실시간 응용의 칼만 필터링 방법을 제안하였다. 화질의 개선도를 향상시키고자 처리화소선 간의 평균화와 지역 분산치에 의한 적응형 칼만 알고리즘을 제안하였고 그에 따른 잡음 제어와 영상 정보 복원 효과를 NMSE, LOGMSE 측정과 실험 결과에서 관측함으로써, 비디오 코덱의 전, 후처리 과정에서의 칼만 필터 적용 가능성을 제시하였다.

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Mechanical Properties Prediction by Manufacturing Parameters for Braided Composites

  • Kim, Myungjun
    • 항공우주시스템공학회지
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    • 제14권4호
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    • pp.25-31
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    • 2020
  • The development of manufacturing technology for braided composites has led to farther extension of the applications in aerospace structures. Since the mechanical characteristics of braided composites are affected by various materials and manufacturing parameters, it is important to determine the parameters required to appropriately design the braided composite structures. In this study, we proposed a geometric model of RUC (repeating unit cell) for 2D braided composites, and predicted the mechanical properties according to the change of fiber volume fraction, fiber filament size, braiding angle, and gap between adjacent yarns by the yarn slicing technique and stress averaging method. Finally, we analyze the characteristics of mechanical properties according to each manufacturing parameter of the braided composite material.

Halftoning Method by CMY Printing Using BNM

  • Kim, Yun-Tae;Kim, Jeong-Yeop;Kim, Hee-Soo;Yeong Ho ha
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 ITC-CSCC -2
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    • pp.851-854
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    • 2000
  • Digital halftoning is a technique to make an equivalent binary image from scanned photo or graphic images. Low pass filtering characteristic of human visual system can be applied to get the effect of spatial averaging of local area consisted of black and white pixels for gray image. The overlapping of black dot decreases brightness and black dot is very sensitive to human visual system in the bright region. In this paper, for gray-level expression, only bright gray region in the color image is considered for blue noise mask (BNM) approach. To solve this problem, BNM with CMY dot is used for the bright region instead of black dot. Dot-on-dot model with single mask causes the problem making much black dot overlap, color distortion. Therefore approach with three masks for C, M and Y each is proposed to decrease pixel overlap and color distortion.

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A Computational Study on Turbulent Flow Characteristics around Full-form Tankers

  • Van, Suak-Ho;Kim, Hyoung-Tae
    • Journal of Hydrospace Technology
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    • 제2권2호
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    • pp.1-13
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    • 1996
  • This paper presents the result of a computational study on the wake characteristics of two tanker models, i.e. HSVA and Mystery hull forms. The focus of the study is on the distributions of axial, radial and tangential velocities of the two hull forms in way of the propeller, especially over the propeller disk. The effect of bilge vortices on the velocity distribution is also concerned. For the computation of stern and wake flows of the two hull farms, the incompressible Reynolds-Averaged Wavier-Stokes(RANS) equations are numerically solved by the second order finite difference method, which employs a four stage Runge-Kutta scheme with a residual averaging technique and the Baldwin-Lomax model. The calculated pressure distributions on the hull surface and the axial, radial and tangential velocity distributions over the propeller disk are presented for the two hull forms. Finally, the result of wake analysis for the computed wake distribution over the propeller disk is given in comparison with those for the experimental wake distribution fur the both hull forms.

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DSP Based Control of Interleaved Boost Converter

  • Sudhakarababu C.;Veerachary Mummadi
    • Journal of Power Electronics
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    • 제5권3호
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    • pp.180-189
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    • 2005
  • In this paper a DSP based control scheme for the interleaved boost converter is presented. The mathematical model for the interleaved boost converter operating in a continuous inductor current mode is developed. A state-space averaging technique is used for modeling the converter system. A fixed frequency sliding mode controller is designed to ensure current distribution between the two converter modules and to achieve the load voltage regulation simultaneously. Necessary and sufficient conditions, using variable structure theory, are derived for the sliding mode to exist. The range of sliding mode controller coefficients is also determined. The designed controller capability, load distribution among the individual boost cells and load voltage regulation against source and load disturbances, are demonstrated through PSIM simulation results. A real-time controller based on ADMC401 DSP is developed. Experimental results are provided to validate the proposed control scheme.

On Teaching Switched Mode Power Supplies - A Converter with Limited Duty Cycle

  • Himmelstoss, Felix A.
    • Journal of Power Electronics
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    • 제10권6호
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    • pp.667-672
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    • 2010
  • A way how to teach a general understanding of switched mode power supplies (SMPS) is shown. A fourth order PWM DC-to-DC converter with limited duty cycle range is treated as an example and a survey over important data (maximum voltage and current ratings for the elements, rms- values for the semiconductor devices and a rough approximation of the losses) of the circuit is given. Furthermore, a converter model based on duty ratio averaging is established. Continuous mode of operation is used. The results make it possible to estimate the applicability of the given converter structure and offer sufficient material for the calculation, design, and analysis and give a better insight into switched mode energy conversion.

Is the Peak-Affect Important in Fast Processing of Visual Images in Printed Ads?: A Comparative Study on the Affect Integration Theories

  • Bu, Kyunghee;Lee, Luri
    • Asia Marketing Journal
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    • 제24권3호
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    • pp.96-108
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    • 2022
  • This study investigates how affects elicited by visual images in print ads are integrated to form a liking for the ads. Assuming a sequential rather than simultaneous processing of still-cut images, we adopt the 'think-aloud' method to capture consumers' spontaneous responses to visual images. We hypothesize that not only would consumers show mixed affects toward a still-cut visual image but that they would also integrate their serial affects heuristically rather than simply averaging the affects as suggested by the compensatory hypothesis. By comparing the effects of two contradictory affect integration hypotheses (i.e., peak-affect and mood-maintenance) with compensatory integration, using a single regression model, we found that peak-negative along with mood maintenance integration of serial affects for a print ad works best in the formation of ad liking. The results also support our initial premise that people can have mixed valence even toward a still-cut ad.

Ensemble techniques and hybrid intelligence algorithms for shear strength prediction of squat reinforced concrete walls

  • Mohammad Sadegh Barkhordari;Leonardo M. Massone
    • Advances in Computational Design
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    • 제8권1호
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    • pp.37-59
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    • 2023
  • Squat reinforced concrete (SRC) shear walls are a critical part of the structure for both office/residential buildings and nuclear structures due to their significant role in withstanding seismic loads. Despite this, empirical formulae in current design standards and published studies demonstrate a considerable disparity in predicting SRC wall shear strength. The goal of this research is to develop and evaluate hybrid and ensemble artificial neural network (ANN) models. State-of-the-art population-based algorithms are used in this research for hybrid intelligence algorithms. Six models are developed, including Honey Badger Algorithm (HBA) with ANN (HBA-ANN), Hunger Games Search with ANN (HGS-ANN), fitness-distance balance coyote optimization algorithm (FDB-COA) with ANN (FDB-COA-ANN), Averaging Ensemble (AE) neural network, Snapshot Ensemble (SE) neural network, and Stacked Generalization (SG) ensemble neural network. A total of 434 test results of SRC walls is utilized to train and assess the models. The results reveal that the SG model not only minimizes prediction variance but also produces predictions (with R2= 0.99) that are superior to other models.