• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 하계학술대회 논문집 D
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• pp.2423-2425
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• 2004

Mobility of an indoor wheeled robot is affected by adhesion force that is related to various floor conditions. When the adhesion force between driving wheels and the floor decreases suddenly, the robot has slip state. First of all, this paper models adhesion characteristics and slip in wheeled robot. Secondly, the paper proposes estimation method of adhesion force coefficient(AFC) according to slip velocity. In order to overcome this slip problem, optimal slip velocity must be decided for stable movement of wheeled robot. The paper proposes an anti-slip control system based on an ordinary disturbance observer, that is, the re-adhesion control is achieved by reducing the driving torque enough to give maximum adhesion force coefficient. fuzzy logic controller(FLC) is petty useful with slip through that compare fuzzy with PI control for the controller performance. These procedure is implemented using a Pioneer 2-DXE parameter.

• 반도체디스플레이기술학회지
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• 제15권3호
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• pp.67-71
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• 2016

This paper addresses a problem of defocus map recovery from single image. We describe a simple effective approach to estimate the spatial value of defocus blur at the edge location of the image. At first, we perform a re-blurring process using Gaussian function with input image, and calculate a gradient magnitude ratio with blurring amount between input image and re-blurred image. Then we get a full defocus map by propagating the blur amount at the edge location. Experimental result reveals that our method outperforms a reliable estimation of depth map, and shows that our algorithm is robust to noise, inaccurate edge location and interferences of neighboring edges within input image.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 추계학술대회 논문집 학회본부A
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• pp.163-167
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• 1998

In this paper an improved re-adhesion control scheme is proposed for IC4M(1-Controller 4-Motors) traction system. It is well known that the coefficient of adhesion between wheel and rail has a maximum value at a certain slip velocity. In the proposed scheme, maximum adhesive force is estimated by an observer and the driving torque of motor is controlled to set maximum adhesive force. The simulation results are presented.

• 대한토목학회논문집
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• 제34권1호
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• pp.107-116
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• 2014

본 연구는 조도보정 블록수로에서의 체적밀집도를 정의하고, 평균유속(V)과 수리반경(R)의 곱인 VR, 블록 Reynolds수($Re^*$), 항력계수($\acute{C}_D$) 및 바닥전단특성의 바닥조도계수($n_b$)를 분석하여 조도계수(n)를 산정하였다. VR과 블록Reynolds수가 증가함에 따라 조도계수가 감소하여 일정함에 수렴하는 경험적인 양상을 확인하였다. 블록Reynolds수의 증가에 따라 항력계수는 감소하여 일정한 값에 수렴하는 것으로 나타났다. 블록Reynolds수가 큰 난류구간에서는 항력계수는 밀집도로 정의한 조도블록의 형상에 지배적임을 볼 수 있다. 정확한 조도계수의 산정을 위해서는 블록Reynolds수와 체적밀집도에 의한 상관식의 개발이 요구된다. n-VR, $\acute{C}_D-Re^*$, $n_b-\acute{C}_D$상관에 대한 관계곡선식을 제시하였다. 조도계수를 산정할 수 있는 블록Reynolds수와 체적밀집도와의 상관관계식을 제시하였다. 실험결과를 토대로 블록Reynolds수와 체적밀집도에 의한 조도 계수 산정식을 이용한 HEC-RAS의 수리특성 분석결과는 실험결과와 잘 일치함을 보여주어 산정한 조도계수 추정식의 적용성을 확인하였다.

• 한국소성가공학회:학술대회논문집
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• 한국소성가공학회 2003년도 춘계학술대회논문집
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• pp.168-171
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• 2003

Generally RF AGC (Roll Force Automatic Gauge Control) controls the roll gap using the variation of rolling force caused by the roll eccentricity and the entry thickness of material, but RE AGC takes the bad effect of the roll eccentricity. The Feed-forward (FF) AGC method, which controls the next stand roll gap by the estimation of the thickness variation due to skid mark is needed to supplement the shortage of RF AGC. In this paper, an adaptive filtering method which takes account of the kind of material, the final objective thickness and the rolling speed is proposed to predict skid mark thickness variation. In addition, an improved estimation method of control point using a speedometer and looper angle is suggested. Via on line test, the performance improvement of the suggested FF AGC method is verified.

• Journal of electromagnetic engineering and science
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• 제18권4호
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• pp.231-241
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• 2018

In this paper, we consider the anti-attack procedure of a ballistic missile defense system (BMDS) at different operating frequencies at its phased-array radar station. The interception performance is measured in terms of lateral divert (LD), which denotes the minimum acceleration amount available in an interceptor to compensate for prediction error for a successful intercept. Dependence of the frequency on estimation accuracy that leads directly to prediction error is taken into account, in terms of angular measurement noises. The estimation extraction is performed by means of an extended Kalman filter (EKF), considering two typical re-entry trajectories of a non-maneuvering ballistic missile (BM). The simulation results show better performance at higher frequency for both tracking and intercepting aspects.

• 한국멀티미디어학회논문지
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• 제8권12호
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• pp.1581-1588
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• 2005

The primary goal of this paper is to facilitate the rate-distortion control in compressed domain, without introducing a full decoding and re-encoding system in pixel domain. For this aim, the error propagation behavior over several frame-sequences due to DCT coefficients-drop is investigated on the basis of statistical and empirical properties. Then, such properties are used to develop a simple estimation model for the CD distortion accounting for the characteristics of the underlying coded-frame. Experimental results show that the proposed model allows us to effectively control rate-distortions into coded-frames over different kinds of video sequences.

• 항공우주시스템공학회지
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• 제10권1호
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• pp.8-14
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• 2016

The optimal estimation of a bearing only target tracking problem be achieved through the solution of the Fokker-Planck equation and the Bayesian update. Recently, a nonlinear filtering algorithm using a direct quadrature method of moments in which the associated Fokker-Planck equation can be propagated efficiently and accurately was proposed. Although this approach has demonstrated its promising in the field of nonlinear filtering in several examples, the "degeneracy" phenomenon, similar to that which exists in a typical particle filter, occasionally appears because only the weights are updated in the modified Bayesian rule in this algorithm. Therefore, in this paper to enhance the performance, a more stable measurement update process based upon the update equation in the Extended Kalman filters and a more accurate initialization and re-sampling strategy for weight and abscissas are proposed. Simulations are used to show the effectiveness of the proposed filter and the obtained results are promising.

• 제어로봇시스템학회논문지
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• 제12권8호
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• pp.789-797
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• 2006

A new method for the GPS repeater based indoor positioning is proposed and its feasibility is verified by experiments in previous paper. But the problems how can identify switching GPS repeater's ID and when switching will be occurred are remained. To solve the problem faced with, we propose the time synchronized switching GPS repeater and the methods of the detection of switching time and the estimation of TDOA. First, switching GPS repeater retransmits the signals synchronized on GPS time, sequentially. Always, first switching time is synchronized with 1 PPS. Second, we formulate the detection of switching time and the estimation of TDOA and propose the various methods. No method is existed absolutely superior to others in any conditions but the method is existed superior to others in specific condition. Finally, feasibility of indoor positioning using time-synchronized switching GPS repeater is evaluated through experiments in anechoic chamber and general environment with multipath.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1993년도 하계학술대회 논문집 A
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• pp.131-133
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• 1993

In the power system state estimation, the J(x)-index test and normalized residuals $r_N$ have been used to detect the presence of bad measurements and identify their location. But, these methods require the complete re-estimation of system states whenever bad data is identified. This paper presents back-propagation neural network model using autoregressive filter for identification of bad measurements. The performances of neural network method are compared with those of conventional methods and simulation results show the good performance in the bad data identification based on the neural network under sample power system.