• 제목/요약/키워드: Rate-adaptive

검색결과 1,710건 처리시간 0.041초

웨이브렛 변환과 적응 프랙탈 보간을 이용한 심전도 데이터 압축 (ECG data compression using wavelet transform and adaptive fractal interpolation)

  • 윤영노;이우희
    • 전자공학회논문지B
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    • 제33B권12호
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    • pp.45-61
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    • 1996
  • This paper presents the ECG data compression using wavelet transform (WT) and adaptive fractal interpolation (AFI). The WT has the subband coding scheme. The fractal compression method represents any range of ECG signal by fractal interpolation parameters. Specially, the AFI used the adaptive range sizes and got good performance for ECG data cmpression. In this algorithm, the AFI is applied into the low frequency part of WT. The MIT/BIH arhythmia data was used for evaluation. The compression rate using WT and AFI algorithm is better than the compression rate using AFI. The WT and AFI algorithm yields compression ratio as high as 21.0 wihtout any entropy coding.

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GMAW에서 시각센서를 이용한 용접선 정보의 추출과 와이어 승급속도의 제어에 관한 연구 (A Study on Weld Line Detection and Wire Feeding Rate Control in GMAW with Vision Sensor)

  • 조택동;김옥현;양상민;조만호
    • Journal of Welding and Joining
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    • 제19권6호
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    • pp.600-607
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    • 2001
  • A CCD camera with a laser stripe was applied to realize the automatic weld seam tracking in GMAW. It takes relatively long time to process image on-line control using the basic Hough transformation, but it has a tendency of robustness over the noises such as spatter and arc light. For this reason. it was complemented with adaptive Hough transformation to have an on-line processing ability for scanning specific weld points. The adaptive Hough transformation was used to extract laser stripes and to obtain specific weld points. The 3-dimensional information obtained from the vision system made it possible to generate the weld torch path and to obtain the information such as width and depth of weld line. We controled the wire feeding rate using informations of weld line.

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입력 신호의 연속적인 직교화를 통한 LMS 알고리즘의 수렴 속도 향상 (Convergence Acceleration of the LMS Algorithm Using Successive Data Orthogonalization)

  • 신현출
    • 대한전자공학회논문지SP
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    • 제45권2호
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    • pp.90-94
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    • 2008
  • 적응 필터의 입력 신호의 상관도 (correlation)가 클 경우 LMS 알고리즘의 수렴 속도는 상당히 느려지게 된다. 본 논문에서는 입력 신호의 상관도가 높은 상황에서 수렴 속도를 향상시킬 수 있는 적응 필터링 알고리즘을 제안한다. 입력 신호에 대하여 직교성을 가지도록 변환을 인위적으로 가하여 LMS 알고리즘의 한계를 극복한다. 제안한 알고리즘의 성능 향상은 시스템식별 모델을 통하여 그 수렴 속도의 개선을 확인하며 또한 시변 환경 하에서 적응 필터의 시변 추적 능력을 통해 보여 진다.

HIPERLAN/2의 에러 채널을 위한 적응적 자원 할당 알고리즘 (Adaptive Resource Allocation Algorithm for HIPERLAN/2 with Error Channel)

  • 김창균;조광오;이정규
    • 대한전자공학회논문지TC
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    • 제41권2호
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    • pp.1-8
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    • 2004
  • 본 논문에서는 ARAHE(Adaptive Resource Allocation algorithm for HIPERLAN/2 with Error channel)을 제안하고 있다. 이 방식은 효율적인 자원 할당을 위하여 EIB(Error Indication Bits)를 사용한다. 시뮬레이션을 통해 ARAHE의 성능을 평가하고, 시뮬레이션 결과는 ARAHE가 delay와 utilization, TSR(Transmission Success Rate)에서 기존 방식보다 더 좋은 성능을 나타냄을 보이고 있다.

적응 SFLC(Scaled Fourier Linear Combiner)를 이용한 활동 중의 PPG 신호의 잡음 감소 (Noise Reduction of PPG Signal During Free Movements Using Adaptive SFLC(Scaled Fourier Linear Combiner))

  • 김성민;차은종;김덕원;유재하;김동연;김수찬
    • 대한전기학회논문지:시스템및제어부문D
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    • 제55권3호
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    • pp.138-141
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    • 2006
  • Blood flow is one of vital signals related to human physiological information. Photoplethysmograph (PPG) has been used to measure indirectly heart rate, blood oxygen saturation ($SpO_2$), and so on. Because PPG signal is weak and sensitive to motion artifacts, it is very important to continuously obtain stable PPG signal during free movement. In this study, we applied the scaled Fourier linear combiner (SFLC) using both the adaptive filter and FLC to remove effectively the motion artifacts as well as background noise in the real time without additional signal correlated with motion from a accelerometer. The proposed method would be useful to reduce the movement and background noise which are not synchronized with heart rate.

적응형 ODFM/MIMO 시스템의 성능 분석 (Performance Analysis of a Adaptive OFDM-MIMO System)

  • 강희훈;이영종;한완옥;현동환
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2007년도 하계종합학술대회 논문집
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    • pp.481-482
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    • 2007
  • This paper demonstrates OFDM with adaptive modulation applied to Multiple-Input Multiple-Output (MIMO) systems. We apply an optimization algorithm to obtain a bit and power allocation for each subcarrier assuming instantaneous channel knowledge. The analysis and simulation is considered in two stages. The first stage involves the application of a variable-rate variable-power MQAM technique for a Single-Input Single-Output(SISO) OFDM system. This is compared with the performance of fixed OFDM transmission where a constant rate is applied to each subcarrier. The second stage applies adaptive modulation to a general MIMO system by making use of the Singular Value Decomposition to separate the MIMO channel into parallel subchannels. For a two-input antenna, two-output antenna system, the performance is compared with the performance of a system using selection diversity at the transmitter and maximal ratio combining at the receiver.

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Optimal Bit Allocation Adaptive Modulation Algorithm for MIMO System

  • Fan, Lingyan;He, Chen;Feng, Guorui
    • Journal of Communications and Networks
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    • 제9권2호
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    • pp.136-140
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    • 2007
  • In this paper, an adaptive minimum transmit power modulation scheme under constant data rate and fixed bit error rate (BER) for the multiple-input multiple-output (MIMO) system is proposed. It adjusts the modulation order and allocates the transmit power to each spatial sub-channel when meeting the user's requirements at the cost of minimum transmission power. Compared to the other algorithm, it can obtain good performance with lower computational complexity and can be applied to the wireless communication system. Computer simulation results present the efficiency of the proposed scheme. And its performance under different channel condition has been compared with the other algorithm.

웨이브렛 변환과 적응 프랙탈 보간을 이용한 심전도 데이터 압축 (ECG Data Compression Using Wavelet Transform and Adaptive Fractal Interpolation)

  • 이우희;윤영로;박세진
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1996년도 추계학술대회
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    • pp.221-224
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    • 1996
  • This paper presents the ECG data compression using wavelet transform(WT) and adaptive fractal interpolation(AFI). The WT has the subband coding scheme. The fractal compression method represents any range of ECG signal by fractal interpolation parameters. Specially, the AFI used the adaptive range sizes and got good performance for ECG data compression. In this algorithm, the AFI is applied into the low frequency part of WT. The MIT/BIH arrhythmia data was used for evaluation. The compression rate using WT and AFI algorithm is better than the compression rate using AFI. The WT and AFI algorithm yields compression ratio as high as 21.0 without any entroy coding.

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확장형칼만필터에 의한 연속회분식반응조의 탈질 적응제어 (Adaptive Control of Denitrification by the Extended Kalman Filter in a Sequencing Batch Reactor)

  • 김동한
    • 상하수도학회지
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    • 제20권6호
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    • pp.829-836
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    • 2006
  • The reaction rate of denitrification is primarily affected by the utilization of organics that are usually limited in the anoxic period in a sequencing batch reactor. It is necessary to add an extemal carbon source for sufficient denitrification. An adaptive model of state-space based on the extended Kalman filter is applied to manipulate the dosage rate of extemal carbon automatically. Control strategies for denitrification have been studied to improve control performance through simulations. The normal control strategy of the constant set-point results in the overdosage of external carbon and deterioration of water quality. To prevent the overdosage of external carbon, improved control strategies such as the constrained control action, variable set-point, and variable set-point after dissolved oxygen depletion are required. More stable control is obtained through the application of the variable set-point after dissolved oxygen depletion. The converging value of the estimated denitrification coefficient reflects conditions in the reactor.

Bayesian Method for Sequential Preventive Maintenance Policy

  • Kim Hee Soo;Kwon Young Sub;Park Dong Ho
    • 한국신뢰성학회:학술대회논문집
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    • 한국신뢰성학회 2005년도 학술발표대회 논문집
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    • pp.131-137
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    • 2005
  • In this paper, we propose a Bayesian approach to determine the adaptive preventive maintenance(PM) policy for a general sequential imperfect PM model proposed by Lin, Zuo and Yam(2000) that PM not only reduces the effective age of the system but also changes the hazard rate function. Assuming that the failure times follow Weibull distribution, we adopt a Bayesian approach to update unknown parameters and determine the Bayesian optimal sequential PM policies. Finally, numerical examples of the optimal adaptive PM policy are presented for illustrative purposes.

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