• Title/Summary/Keyword: adaptive method

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Feedback Error Quantification in Adaptive Modulation over Fading Channels

  • Choi, Se-Yeong
    • Journal of information and communication convergence engineering
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    • v.9 no.2
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    • pp.183-186
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    • 2011
  • In this work, we consider imperfectness of feedback channels in the adaptive transmission scheme which was previously studied with an assumption of error-free feedback channels. New method of mapping the modulation index into the feedback channel symbols and quantifying feedback error over fading channels are proposed. The presented method and results are expected to offer valuable tools for the system designer to efficiently implement adaptive diversity schemes to compensate for the performance degradation due to feedback error.

Motion planning of a robot manipulator for time-varying obstacle avoidance using adaptive view-time (적응관측시간을 이용한 로보트 매니퓰레이터의 시변 장애물 회피 동작 계획)

  • 고낙용;최한수;이범희;고명삼
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10a
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    • pp.428-433
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    • 1993
  • An analytic solution approach to the time-varying obstacle avoidance problem is pursued. We use the view-time concept, especially the adaptive view-time. First. we introduce the adaptive view-time and analyze its properties. Next, we propose a view-time based motion planning method. The proposed method is applied and simulated for the collision-free motion planning of a 2 DOF robot manipulator. We simulate the robot motion under several different view-time systems. Generally, the motion planning with the adaptive view-time systems has some advantages over that with the fixed view-time systems.

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A study on the intelligent control of chaotic nonlinear systems using neural networks (신경 회로망을 이용한 혼돈 비선형 시스템의 지능 제어에 관한 연구)

  • 오기훈;주진만;박진배;최윤호
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.453-456
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    • 1996
  • In this paper, the direct adaptive control using neural networks is presented for the control of chaotic nonlinear systems. The direct adaptive control method has an advantage that the additional system identification procedure is not necessary. In order to evaluate the performance of our controller design method, two direct adaptive control methods are applied to a Duffing's equation and a Lorenz equation which are continuous-time chaotic systems. Our simulation results show the effectiveness of the controllers.

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On the stable adaptive controller for the turret gun system using direct adaptive control method (직접적응제어 방식을 사용한 포탑포 시스템의 안정한 적응제어기에 관하여)

  • 김종화;이만형;배종일
    • 제어로봇시스템학회:학술대회논문집
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    • 1988.10a
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    • pp.160-163
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    • 1988
  • In this paper, the adaptive controller for the turret gun is discussed which uses model reference adaptive technique based on the Lyapunov direct method. Turret gun can be decomposed into two time-invariant SISO control systems. One is for the elevation angle control and the other is for the azimuth angle control under the assumption of independence each other. Thus we only consider here about the control loop for the elevation angle.

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An Adaptive Buffering Method for Practical HTTP Live Streaming on Smart OTT STBs

  • Kim, Hyun-Sik;Kim, Inki;Han, Kyungsik;Kim, Donghyun;Seo, Jong-Soo;Kang, Mingoo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.3
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    • pp.1416-1428
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    • 2016
  • In this paper, we address the channel zapping time problem of video streaming services based on HTTP Live Streaming (HLS) on smart Over-The-Top Set-Top Boxes (OTT STBs). Experimental analysis of the channel zapping time, show that smart OTT STBs inevitably suffer from the accumulated zapping time through channel change request, Internet Group Management Protocol (IGMP) leave/join, synchronization delay, video buffer delay, and STB processing delay when providing HLS services. As a practical solution for the zapping time reduction, an adaptive buffering method is proposed. The proposed method exploits two adaptive buffers added to the basic HLS player. These two adaptive buffers are responsible for constantly buffering previous and next channels relative to the current channel. Implementation and test results show that a stable zapping time less than one second can be achieved even under diverse video bitrate changes and varying network conditions by the proposed adaptive buffering method.

Adaptive mesh generation for plane stress problems using error based on element′s representative strain value (요소의 대표 변형률 값에 근거한 에러평가를 이용한 평면응력문제의 적응적 요소망 형성)

  • 정요찬;윤종열;홍승표
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2003.10a
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    • pp.403-409
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    • 2003
  • The finite element method is one of the most widely used method of structural analysis that has wide applications in diverse fields of engineering and science. The method has been proven effective and reliable in many practical problems. One of the reasons for the methods' popularity is its ease of use, but still the user has to input the finite element mesh which affects the accuracy of the results. The knowledge required to form an effective mesh for a given problem is somewhat complex and for sometime there has been research effort to automate the generation of the mesh and this is called the adaptive mesh generation scheme. A good adaptive mesh scheme seemed to require an accurate assessment of error and generally this requires some additional computation. This paper looks into the possibility of generating adaptive meshes based on representative strain values in each finite element method. The proposed adaptive scheme does not require additional computations other that looking up the data values already computed as finite element analysis results and simple manipulations of these data. Two plane stress problems, a plate with a hole and a deep beam with a concentrated load at the end are considered to show the progress of the improved generation of adaptive meshes using the scheme.

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Many-objective Evolutionary Algorithm with Knee point-based Reference Vector Adaptive Adjustment Strategy

  • Zhu, Zhuanghua
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.9
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    • pp.2976-2990
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    • 2022
  • The adaptive adjustment of reference or weight vectors in decomposition-based methods has been a hot research topic in the evolutionary community over the past few years. Although various methods have been proposed regarding this issue, most of them aim to diversify solutions in the objective space to cover the true Pareto fronts as much as possible. Different from them, this paper proposes a knee point-based reference vector adaptive adjustment strategy to concurrently balance the convergence and diversity. To be specific, the knee point-based reference vector adaptive adjustment strategy firstly utilizes knee points to construct the adaptive reference vectors. After that, a new fitness function is defined mathematically. Then, this paper further designs a many-objective evolutionary algorithm with knee point-based reference vector adaptive adjustment strategy, where the mating operation and environmental selection are designed accordingly. The proposed method is extensively tested on the WFG test suite with 8, 10 and 12 objectives and MPDMP with state-of-the-art optimizers. Extensive experimental results demonstrate the superiority of the proposed method over state-of-the-art optimizers and the practicability of the proposed method in tackling practical many-objective optimization problems.

1-PASS SPATIALLY ADAPTIVE WAVELET THRESHOLDING FOR IMAGE DENOSING (1-패스 공간 적응적 웨이블릿 임계화를 사용한 영상의 노이즈제거)

  • 백승수
    • Journal of the Korea Society of Computer and Information
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    • v.8 no.4
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    • pp.7-12
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    • 2003
  • This paper propose the 1-pass spatially adaptive wavelet thresholding for image denosing. The method of wavelet thresholding for denosing, has been concentrated on finding the best uniform threshold or best basis. However, not much has been done to make this method adaptive to spatially changing statistics which is typical of a large class of images. This spatially adaptive thresholding is extended to the overcomplete wavelet expansion, which yields better results than the orthogonal transform. Experiments show that this proposed method does indeed remove noise significantly, especially for large noise power. Experimental results show that the proposed method outperforms level dependent thresholding techniques and is comparable to spatial Wiener filtering method, 2-pass spatially adaptive wavelet thresholding method in matlab.

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Optimum Transmission Method with Energy Saving and Frame length on the Adaptive Modulation Mobile System (적응변조 이동통신 시스템의 프레임 길이와 에너지소비에 따른 적절한 전송방법)

  • Oh, Euy-Kyo
    • Journal of Digital Convergence
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    • v.11 no.12
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    • pp.401-406
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    • 2013
  • In this paper, the optimum transmission method is proposed to save the energy and to increase the throughput of the adaptive modulation mobile radio system with frame length control. Traditionally, adaptive modulation has been used to improve the throughput using the power margin of the system design. Considering the frame length vs energy saving and adaptive modulation, the optimum transmission method is proposed for hub and mobile station each.

Gain Design of an Adaptive Full-order Observer Using a Pole Placement Technique for Speed Sensorless Induction Motor Drives

  • Yoo, Anno;Han, Sang-Heon;Son, Young Ik;Yoon, Young-Doo;Hong, Chanook
    • Journal of Power Electronics
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    • v.16 no.4
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    • pp.1346-1354
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    • 2016
  • This paper proposes a design guideline for the feedback gain of the adaptive full-order observer in the speed sensorless control of induction machines. The performance of the adaptive full-order observer is dependent on its feedback gain. This paper presents a pole placement method for the observer feedback gain design to improve the estimation performance of the speed adaptive observer. In the proposed method, the observer poles can be chosen independently of the induction motor poles. Instead, they can be positioned according to the operating speed. An analysis and experimental results obtained with the proposed method reveals better performances under general operating conditions.