• Title/Summary/Keyword: Minimum Error

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A Study on GMSK with Two-bit Differential Detection in Land Mobile Radio Communication Systems (육상이동무선통신에서의 GMSK 2비트 차동검파에 관한 연구)

  • 정기석;차균현
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.15 no.1
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    • pp.21-28
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    • 1990
  • In this paper, the effects of Intersymbol Interference(ISI) of Gaussian filtered minimum shift Keying (GMSK) with two-bit differential defection on the probability of error is analyzed theoretically in fast Rayleigh fading characterizing land mobile radio channels and a closed form for the probability of error is derived. Numerical results are presented for cased of interest, BT=0.25 to 0.4, taking fading rate $f_\rho$T as a parameter. It is shown that the probability of error taking the ISI of the only one adjacent bit into consideration is accurate enough to evaluate the performance of GMSK with two-bit differential detetion.

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The Analysis of the Effects of Interference and Noise on Land Mobile Radio Communications (이동체 통신에 미치는 제선 간섭잡음의 해석)

  • 손승완;공병옥;조성준
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.10 no.3
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    • pp.135-146
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    • 1985
  • The error rate equation of MSK(Minimum Shift Keying) signal transmitted through the fading channel has been derived in the interference and impulsive noise environments. The error rate performance of MSK system have been evaluated and shown in figures as parameters of carrier-to-noise power ratio(CNR), carrier-to-interferer power ratio(CIR), impulsive index, the ratio of Gaussian noise power component to impulsive noise power component, and fading figure. The results show that, in the fading environment, the error is occurred more frequently by Gaussian noise in the deep fading, however in the shallow fading, impulsive noise is more dominant than Gaussian noise. And in thepresence of interference and fading, interferer deteriorates the MSK receiving system severely even if the interferer is weak.

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Characteristics Improvement of Hydraulic Servosystem by Using Generalized Minimum Variance Adaptive Control (일반화최소분산 적응제어를 이용한 유압 서보계의 특성개선에 관한 연구)

  • 박용호;김기홍;이진걸
    • Journal of Advanced Marine Engineering and Technology
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    • v.27 no.3
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    • pp.388-394
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    • 2003
  • Hydraulic system is difficult to obtain a suitable performance due to the nonlinearity load pressure change and system parameter variation. The requirement of control a1gorithm has been complex in order to satisfy the performance. The adaptive control is a control method which is suggested to achieve the control object under the plant characteristics change. In spite of the case that plant characteristics and the degree of variation are difficult to grasp. the adaptive control could keep the characteristics of closed-loop system generally. In this study. a method of combined generalized minimum variance adaptive control (GMVAC) and output error feedback is proposed, in order to solve the problem of non-minimum phase of plant and the vibration and overshoot in initial response. The control performance according to the variation of characteristics of plant is evaluated by changing the supply pressure. The experimental results show the effectiveness of the proposed scheme.

Mix Design of High Performance Concrete (고성능콘크리트의 배합설계)

  • Jung Yong-Wook;Lee Seung-Han;Yun Yong-Ho
    • Proceedings of the Korea Concrete Institute Conference
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    • 2005.05b
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    • pp.73-76
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    • 2005
  • This study aims to suggest a simple and convenient design for a mix proportion method for high performance concrete by determining the optimum fine aggregate ratio and minimum binder content based on the maximum density theory. The mix design method introduced in this study adopted the optimum fine aggregate ratio with a minimum void and binder content higher than the minimum binder content level. The research results reveal that the method helps to reduce trial and error in the mixing process and is a convenient way of producing high performance concrete with self filler ability. In an experiment based on the mix proportion method, when aggregate with the fine aggregation ratio of 41$\%$ was used, the minimum binder content of high performance concrete was 470kg/$m^{3}$ and maximum aggregate capacity was $0.657m^{3}/m^{3}$. In addition, in mixing high performance concrete, the optimal slump flow to meet filler ability was 65$\pm$5cm, V load flow speed ranged from 0.5 to 1.5.

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On line flatness calibration of engineering surfaces using minimum separation technique (최소거리법에 의한 온라인 편평도 측정시스템 개발)

  • ;M. BURDEKIN
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1991.11a
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    • pp.105-109
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    • 1991
  • A computer aided flatness calibration system has been developed. Rectangular grids based measurement procedure is proposed with closing error technique. giving advantages over conventional diagonal measurement procedures (‘Union Jack’). A new analysis technique has been developed for flatness evaluation called ‘ETT(Enclose Tilt technique)’, enabling minimum separation definition which is acknowledged as standard term for flatness definition. Practical assessment shows the performance of the developed system.

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A New Hierarchical Representation Method for Planar Shape (평면 형상에 대한 새로운 계층적 표현 방법)

  • 허봉식;김민환
    • Proceedings of the Korea Multimedia Society Conference
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    • 2001.06a
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    • pp.212-215
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    • 2001
  • 본 논문에서는 평면 형상에 대한 새로운 계층적 표현 방법을 소개하였다. 제안한 방법에서는 근사화 과정의 근사화 오차(approximation error)를 근사화 순서와 정도를 결정하는 중요한 척도로 활용하였으며, 제안한 오차 조절 알고리즘을 통해 보다 자연스러운 근사화 표현이 가능하도록 하였다. 그리고 최소 경계 사각형(MBR: Minimum Bounding Rectangle)을 단순 확장한 최소 경계 팔각형(MBO: Minimum Bounding Octangle)을 지역화에 응용하였으며, 이는 다른 지역화 방법들과 비교하였을 때 상대적으로 더 효율적인 방법임을 확인할 수 있었다.

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A solution to the inverse kinematic by using neural network (신경회로망을 사용한 역운동학 해)

  • 안덕환;이종용;양태규;이상효
    • 제어로봇시스템학회:학술대회논문집
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    • 1989.10a
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    • pp.124-126
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    • 1989
  • Inverse kinematic problem is a crucial point for robot manipulator control. In this paper, to implement the Jacobian control technique we used the Hopfield(Tank)'s neural network. The states of neurons represent joint veocities, and the connection weights are determined from the current value of the Jacobian matrix. The network energy function is constructed so that its minimum corresponds to the minimum least square error. At each sampling time, connection weights and neuron states are updated according to current joint position. Inverse kinematic solution to the planar redundant manipulator is solved by computer simulation.

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Minimum Distance Estimation Based On The Kernels For U-Statistics

  • Park, Hyo-Il
    • Journal of the Korean Statistical Society
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    • v.27 no.1
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    • pp.113-132
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    • 1998
  • In this paper, we consider a minimum distance (M.D.) estimation based on kernels for U-statistics. We use Cramer-von Mises type distance function which measures the discrepancy between U-empirical distribution function(d.f.) and modeled d.f. of kernel. In the distance function, we allow various integrating measures, which can be finite, $\sigma$-finite or discrete. Then we derive the asymptotic normality and study the qualitative robustness of M. D. estimates.

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Decision of Modulation Index of Current-Source TPWM Inverter for Minimization of Speed Ripple and Position Error (속도맥동 및 위치오차를 최소로 하는 전류원 TPWM 인버터의 변조도 결정)

  • 구본호;권우현;김수중
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.26 no.11
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    • pp.1819-1828
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    • 1989
  • In this paper, we determined the modulation index for minimization of speed ripple and position error using maximum speed ripple (SRF) and maximum position error(PEF) in current source TPWM inverter. Through computer simulation, we compared with total current harmonic distortion, SRF and PEF for square wave modulation method and TPWM method. As a result, it turns out that square wave modulation method is superior to TPWM method of 3 pulses per half cycle in speed ripple and position error contents. And TPWM is better than square wave method when pulse number is more than 5. Also, in these pulse numbers, moduladtion index of minimum speed ripple and munimum position error is 0.91.

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Design of Single-input Direct Adaptive Fuzzy Logic Controller Based on Stable Error Dynamics

  • Park, Byung-Jae
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.1 no.1
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    • pp.44-49
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    • 2001
  • For minimum phase systems, the conventional fuzzy logic controllers (FLCs) use the error and the change-of-error as fuzzy input variables. Then the control rule table is a skew symmetric type, that is, it has UNLP (Upper Negative and Lower Positive) or UPLN property. This property allowed to design a single-input FLC (SFLC) that has many advantages. But its control parameters are not automatically adjusted to the situation of the controlled plant. That is, the adaptability is still deficient. We here design a single-input direct adaptive FLC (SDAFLC). In the AFLC, some parameters of the membership functions characterizing the linguistic terms of the fuzzy rules are adjusted by an adaptive law. The SDAFLC is designed by a stable error dynamics. We prove that its closed-loop system is globally stable in the sense that all signals involved are bounded and its tracking error converges to zero asymptotically. We perform computer simulations using a nonlinear plant and compare the control performance between the SFLC and the SDAFLC.

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