• Title/Summary/Keyword: Scaling factor

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A New Washout Algorithm for Reappearance of Driving Perception of Simulator (운전 시뮬레이터의 주행감각 재현을 위한 새로운 가속도 모의 수법 알고리즘 개발)

  • 유기성;이민철
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.6
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    • pp.519-528
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    • 2004
  • For reappearance of driving perception in a driving simulator, a washout algorithm is required. This algorithm can reappear the vehicle driving motions within workspace of the driving simulator. However classical washout algorithm contains several problems such as selection of order, cut-off frequency of filters, generation of wrong motion cues by characteristics of filters, etc. In order to overcome these problems, this paper proposes a new washout algorithm which gives more accurate sensations to drivers. The algorithm consists of an artificial inclination of the motion plate and human perception model with band pass filter and dead zone. As a result of this study, the motion of a real car could be reappeared satisfactorily in the driving simulator and the workspace of motion plate is restrained without scaling factor.

AN IMPROVED MONTE CARLO METHOD APPLIED TO THE HEAT CONDUCTION ANALYSIS OF A PEBBLE WITH DISPERSED FUEL PARTICLES

  • Song, Jae-Hoon;Cho, Nam-Zin
    • Nuclear Engineering and Technology
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    • v.41 no.3
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    • pp.279-286
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    • 2009
  • Improving over a previous study [1], this paper provides a Monte Carlo method for the heat conduction analysis of problems with complicated geometry (such as a pebble with dispersed fuel particles). The method is based on the theoretical results of asymptotic analysis of neutron transport equation. The improved method uses an appropriate boundary layer correction (with extrapolation thickness) and a scaling factor, rendering the problem more diffusive and thus obtaining a heat conduction solution. Monte Carlo results are obtained for the randomly distributed fuel particles of a pebble, providing realistic temperature distributions (showing the kernel and graphite-matrix temperatures distinctly). The volumetric analytic solution commonly used in the literature is shown to predict lower temperatures than those of the Monte Carlo results provided in this paper.

Development of a Robust Design Process Using a Robustness Index (강건성 지수를 이용한 강건설계 기법의 개발)

  • Hwang, Kwang-Hyeon;Park, Gyung-Jin
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.27 no.8
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    • pp.1426-1435
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    • 2003
  • Design goal is to find the one that has the highest probability of success and the smallest variation. A robustness index has been proposed to satisfy these conditions. The two-step optimization process of the target problem requires a scaling factor. The search process of a scaling factor is replaced with the making of the decoupled design between the mean and the standard deviation. The decoupled design matrix is formed from the sensitivity or the sum of squares. After establishing the design matrix, the robust design process has a new three-step one. The first is ″reduce variability,″ the second is ″make the candidate designs that satisfy constraints and move the mean on the target,″ and the final is ″select the best robust design using the proposed robustness index.″ The robust design process is verified by three examples and the results using the robustness index are compared with those of other indices.

A Study on Clustering Kansei Factors for the Surface Roughness of Materials

  • Jun, Chang Lim;Choi, Kyungmee
    • Communications for Statistical Applications and Methods
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    • v.10 no.1
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    • pp.49-60
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    • 2003
  • The human sensibility product design requires information on consumer's emotions such as vision, auditory, olfactory, gustatory, or tactile perceptions. In this study, tactile sense which has not been well studied compared to other senses, is measured and statistically analysed. The emotional responses of 37 pairs of positive and negative adjectives describing tactile senses are collected and analysed through the questionnaire to find the correlation between adjectives and surface roughness of the sample. Mean ranks for 37 pairs of adjectives on four samples are obtained, and used to cluster these adjectives by factor analysis, multidimensional scaling, or cluster analysis.

The Sequential GHT for the Efficient Pattern Recognition (효율적 패턴 인식을 위한 순차적 GHT)

  • 김수환;임승민;이규태;이태원
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.28B no.5
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    • pp.327-334
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    • 1991
  • This paper proposes an efficient method of implementing the generalized Hough transform (GHT), which has been hindered by an excessive computing load and a large memory requirement. The conventional algorithm requires a parameter space of 4 dimensions in detection a rotated, scaled, and translated object in an input image. Prior to the application of GHT to the input image, the proposed method determines the angle of rotation and the scaling factor of the test image using the proportion of the edge components between the reference image and test image. With the rotation angle and the scaling factor already determined, the parameter spaceis to be reduced to a simple array of 2 dimensions by applying the unit GHT only one time. The experiments with the image of airplanes reveal that both of the computing time and the requires memory size are reduced by 95 percent, without any degradatationof accuracy, compared with the conventional GHT algorithm.

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An Output Feedback Controller for a Ball and Beam System under Measurement Noise of Feedback Sensor (센서에 측정에러가 있는 볼-빔 시스템의 출력 궤환 제어기)

  • Kim, Hyun-Do;Choi, Ho-Lim
    • Journal of Institute of Control, Robotics and Systems
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    • v.17 no.10
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    • pp.955-959
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    • 2011
  • In this paper, we assume that an output sensor of a ball and beam system is coupled with AC measurement noise. We propose an output feedback controller for a ball and beam system under measurement noise of feedback sensor. Measurement noise makes feedback signals distorted, and results in performance degradation or even system failure. Therefore, we need to design a robust controller to accommodate the possible measurement noise in the feedback information. Our controller is equipped with a gain-scaling factor to minimize the effect of measurement noise in output feedback information. We give an analysis of the controlled system and illustrate the improved control performance via simulation and experiment for a ball and beam system.

Design and Analysis of an Output Feedback Controller for a Chain of Integrators System Compensating Measurement Noise of Feedback Sensor (적분기 시스템에서 센서의 측정에러를 보상하는 출력 궤환 제어기 설계 및 분석)

  • Kim, Hyun-Do;Choi, Ho-Lim
    • Journal of Institute of Control, Robotics and Systems
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    • v.17 no.4
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    • pp.299-303
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    • 2011
  • In this paper, we propose an output feedback controller for a chain of integrators system compensating measurement noise of feedback sensor. Measurement noise makes feedback signals distorted, and results in performance degradation or even system failure. Therefore, we need to design a robust controller to accommodate the possible measurement noise in the feedback information. Our controller is equipped with a gain-scaling factor to reject or minimize the effect of measurement noise in output feedback information. We give a theoretical analysis of the controlled system and illustrate the improved control performance via an example.

Frequency Control of Hydro Power Plant Based on Automatic Tuning Controller (자동 동조 퍼지 제어기를 이용한 수력발전소 주파수 제어)

  • Lee, Seon-Geun;Lee, Won-Yong;Shin, Dong-Ryul;Kwon, Oh-Seok
    • Proceedings of the KIEE Conference
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    • 1993.07a
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    • pp.251-253
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    • 1993
  • This paper proposes an automatic tuning fuzzy controller for frequency control of a hydro power plant (HPP). The proposed automatic tuning fuzzy controller consists of fuzzy control part and scaling factor calculation part. Scaling factor tuning is based on the concept of conventional tuning rules for the PI controller. The proposed controller was evaluated by simulation. Good results have been obtained for the 5kW model HHP.

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A MONTE CARLO METHOD FOR SOLVING HEAT CONDUCTION PROBLEMS WITH COMPLICATED GEOMETRY

  • Shentu, Jun;Yun, Sung-Hwan;Cho, Nam-Zin
    • Nuclear Engineering and Technology
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    • v.39 no.3
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    • pp.207-214
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    • 2007
  • A new Monte Carlo method for solving heat conduction problems is developed in this study. Differing from other Monte Carlo methods, it is a transport approximation to the heat diffusion process. The method is meshless and thus can treat problems with complicated geometry easily. To minimize the boundary effect, a scaling factor is introduced and its effect is analyzed. A set of problems, particularly the heat transfer in the fuel sphere of PBMR, is calculated by this method and the solutions are compared with those of an analytical approach.

Sketch Classification using Unsigned Distance Field (Unsigned Distance Field를 이용한 Sketch Classification)

  • Kim, Min Woo;Cho, Nam Ik
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • fall
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    • pp.110-112
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    • 2021
  • 본 논문에서는 스케치를 unsigned distance field로 변환하여 스케치 클래스 분류 네트워크의 입력으로 사용한다. 그리고 unsigned distance field scaling factor를 제안하여, unsigned distance field에 보존되는 스케치의 전역적인 정보와 국소적인 정보 사이에 상호조정이 가능하게 하였다. 다양한 scaling factor 값에 대해서 실험을 진행하여, 기존 unsigned distance field보다 국소적인 정보가 더 포함되어 있을 때 클래스 분류 성능이 향상되는 것을 확인하였다. 또한 스케치를 고밀도 데이터로 변환하여 사용했을 때 학습이 더 안정적으로 되고, 네트워크가 더욱 합리적인 근거로 스케치를 올바른 클래스로 분류한다는 것을 Smooth Grad-CAM++를 통해서 확인하였다.

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