• 제목/요약/키워드: RLS

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도파민 수송체 유전자 다형성과 항정신병약물로 유발된 하지불안증후군의 연관성 연구 (Association Study Between Dopamine Transporter Gene 40 bp VNTR and Antipsychotics-Induced Restless Legs Syndrome)

  • 강승걸;이헌정;최정은;김린;정인과
    • 수면정신생리
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    • 제15권1호
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    • pp.39-43
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    • 2008
  • 목 적 : 하지불안증후군(restless legs syndrome ; RLS)의 병인은 아직 불명확하지만, 도파민 결핍과 유전적 소인이 흔히 제기된다. RLS는 도파민수용체를 차단하는 항정신 병약물을 복용하는 환자들에서 더 흔히 발생하는 것으로 보인다. 본 연구에서는 정신분열병환자에서 항정신병약물에 의해 유발된 RLS와 도파민 수송체(dopamine transporter gene ; DAT1) 유전자가 연관이 있는지 알아보고자 하였다. 방 법: International Restless Legs Syndrome Study Group의 진단기준으로 190명의 한국인 정신분열병 환자들을 대상으로 RLS에 대해서 평가하였다. 유전자형분석은 중합효소연쇄반응기법을 사용하여 DAT1 유전자의 40 염기쌍(basepair) variable number of tandem repeat(VNTR)에 대해서 시행되었다. 결 과 : 우리는 44명의 RLS군과 146명의 비RLS군으로 환자들을 분류하였다. 두 군간의 유전자형과 대립유전자 빈도의 차이를 분석한 결과 유의한 차이를 발견할 수 없었다. 결 론 : 이 연구는 DAT1 유전자의 40 bp VNTR 다형성이 항정신병약물로 유발된 RLS와 연관이 없다는 것을 시사한다. 이 결과를 확증하기 위해서는 향후 보다 대규모의 연합연구가 필요할 것이다.

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RBRLS 알고리즘의 탭 가중치 갱신에 따른 MSE 성능 분석 (MSE Convergence Characteristic over Tap Weight Updating of RBRLS Algorithm Filter)

  • 김원균;윤찬호;곽종서;나상동
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 1999년도 추계종합학술대회
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    • pp.248-251
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    • 1999
  • We extend the sue of the method of least square to develop a recursive algorithm for the design of adaptive transversal filters such that, given the least-square estimate of this vector of the filter at iteration n-1, we may compute the updated estimate of this vector at i(oration n upon the arrival of new data. The RLS algorithm may be viewed as a special case of the Kalman filter. Indeed this special relationship between the RLS algorithm and the Kalman filter is considered. We begin the development of the RLS algorithm by reviewing some basic relations that pertain to the method of least squares. Then, by exploiting a relation in matrix algebra known as the matrix inversion lemma, we develop the RLS algorithm. An important feature of the RLS algorithm is that it utilizes information contained in the input data, extending back to the instant of time when the algorithm is initiated. The resulting rate of convergence is therefore typically an order of magnitude faster than the simple LMS algorithm. This improvement in performance, however, Is achieved at the expensive of a large increase in computational complexity.

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직교 입력 벡터를 이용하는 수정된 RLS 알고리즘에 관한 연구 (A Study on the Modified RLS Algorithm Using Orthogonal Input Vectors)

  • 안봉만;김관웅;안현규;한병성
    • 한국전기전자재료학회논문지
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    • 제32권1호
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    • pp.13-19
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    • 2019
  • This paper proposes an easy algorithm for finding tapped-delay-line (TDL) filter coefficients in an adaptive filter algorithm using orthogonal input signals. The proposed algorithm can be used to obtain the coefficients and errors of a TDL filter without using an inverse orthogonalization process for the orthogonal input signals. The form of the proposed algorithm in this paper has the advantages of being easy to use and similar to the familiar recursive least-squares (RLS) algorithm. In order to evaluate the proposed algorithm, system identification simulation of the $11^{th}$-order finite-impulse-response (FIR) filter was performed. It is shown that the convergence characteristics of the learning curve and the tracking ability of the coefficient vectors are similar to those of the conventional RLS analysis. Also, the derived equations and computer simulation results ensure that the proposed algorithm can be used in a similar manner to the Levinson-Durbin algorithm.

Acupuncture Treatment for Restless Legs Syndrome: A Review of Randomized Controlled Trials

  • Go Eun Chae;Hyun Woo Kim;Hye Jeong Jo;Ahra Koh;Young Jin Lee;Ji Eun Choi;Woo Young Kim
    • Journal of Acupuncture Research
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    • 제40권4호
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    • pp.308-318
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    • 2023
  • To determine the effectiveness of acupuncture in treating restless legs syndrome (RLS), we conducted a literature review of randomized controlled trials (RCTs) that utilized acupuncture as an intervention for patients diagnosed with RLS. Relevant clinical studies (n = 158) from seven databases (the Cochrane Library, PubMed, Embase, CNKI, KISS, RISS, and OASIS) were included based on the inclusion and exclusion criteria and analyzed. Moreover, 6 RCTs were selected for review. In all six studies, it was indicated people who underwent acupuncture treatment showed significant improvements in their overall health. An increase in the treatment efficacy rate, sleep quality, and quality of life indicators after the acupuncture treatment was confirmed. The severity of pain as assessed using the visual analog scale (VAS) scores and International RLS Study Group Rating Scale (IRLSRS) scores and the severity of RLS symptoms were significantly reduced. Any significant side effects were not reported. Acupuncture is suggested as an effective and safe treatment method for RLS. However, further large-scale RCT studies are needed to confirm our findings.

파라메타 추정을 위한 지수 함수적 Sliding window RLS 방식 (Exponentially Weighted Sliding Window RLS Method for Parameter Estimation)

  • 최봉열;이지태;변증남
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1989년도 하계종합학술대회 논문집
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    • pp.109-111
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    • 1989
  • In this paper, we propose a new method of parameter est mat ion which modifies the exponentially weighted RLS (WRLS) method using asliding window. It can be used in adaptive control for a class of linear tine varying system. Computer simulations show that our new method tracts rapidly time varying parameters more effectively than WRLS.

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시변 망각 인자를 갖는 RLS 알고리즘을 이용한 Nonstationary 신호의 스펙트럼 추정 (Spectral Estimation of Nonstationary Signals Using RLS Algorithm with a Variable Forgetting Factor)

  • 조용수
    • The Journal of the Acoustical Society of Korea
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    • 제12권1E호
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    • pp.56-64
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    • 1993
  • 본 논문은 공간적으로 변하는 스펙트럼을 추정하는 새로운 적응 방법을 제안한다. 제안한 방법에서는 오래된 upstream의 데이터를 망각함으로서 신호의 nonstationarity를 고려해주는 시변망각인자의 개념을 recursive least square(RLS) 알고리즘에 도입하였으며, 관심이 있는 공간영역에서 탐사침을 천천히 움직여 얻은 하나의 데이터 군으로부터 downstream 스펙트럼을 추정하였다. 제시한 방법의 실현 가능성은 실제 실험(wind tunnel 이용)을 통해서 얻은 공간적으로 변하는 nonstatonary 신호의 스펙트럼을 추정하는 과정에서 입증되며 또한 기존의 방법들과 비교함으로서 그 우수성을 보인다.

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Gauss Newton Variable Forgetting Factor Recursive Least Squares 알고리듬을 이용한 시변 신호 추정 (Gauss Newton Variable forgetting factor RLS algorithm for Time Varying Parameter Estimation.)

  • 송성욱;임준석;성굉모
    • 한국음향학회:학술대회논문집
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    • 한국음향학회 2000년도 하계학술발표대회 논문집 제19권 1호
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    • pp.173-176
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    • 2000
  • 시변 신호 추적 특성을 향상시키기 위하여, Gauss-Newton Variable Forgetting Factor RLS (GN-VFF-RLS) Algorithm을 제안한다. 최적화된 망각인자를 가정한 기존의 RLS 알고리듬과 비교하여, 제안된 방법은 특히 신호의 변화가 급격히 일어날 경우 주목할만한 추정 성능의 향상을 보여준다. 제안된 알고리듬의 시변 추정 특성을 신호 대 잡음비와 시변 정도에 대하여 모의 실험하고 기존의 추정 알고리듬들과 비교한다.

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PAC 및 PAS 첨가에 따른 상업용 액상 종균제의 총균수 변화에 관한 연구 (A study on the total cell count variation of commercial liquid seed by adding PAC and PAS)

  • 박미자;박경식;김승재
    • 환경위생공학
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    • 제16권2호
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    • pp.79-90
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    • 2001
  • Commercial liquid seeds are used for supplying active microbial flora to organic wastewater treatment plants of high feed-to-microorganism ratio and to maintain optimal microbial condition during unsteady state operation of the biological wastewater treatment plant. In addition to bacterial cells, the liquid weeds contain various additives for special purposes as well as organic substrates for energy supply. The additives give physical stability for the maintenance of microbial decomposition activity and ability to control the overgrowth of seed strains. In this work, the effects of addition of two kinds of typical substrate additives, poly aluminum chloride(PAC) and poly aluminum sulfate(PAS) on the consitutional total cell counts(CFU/ml) of four kinds of reorganization liquid seeds(RLS I, RLS II, RLS III and RLS IV) were studied experimentally. The addition of PAC and PAS gave negative effect on TCC constitution for the four seeds studied.

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RLS 기법을 이용한 유도전동기의 속도센서없는 벡터제어 (Speed-Sensorless Vector Control of an Induction Motor Using Recursive Least Square Algorithm)

  • 박태식;김성환;유지윤;박귀태;김남정
    • 대한전기학회논문지:전기기기및에너지변환시스템부문B
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    • 제48권3호
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    • pp.139-143
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    • 1999
  • This paper is on realization of the speed-sensorless vector control of an induction motor using the RLS(Recursive Least Square) algorithm. The speed estimator is including the RLS algorithm and a rotor flux observer. The RLS algorithm has speed and rotor time constant as parameter vectors and rotor flux observer is designed to have robustness to stator resistance variation and through the IP(Integral and Proportional) speed controller stable performance is obtained for estimating rotor speed. Finally the total algorithm are realized in induction motor drive system and its effectiveness is verified.

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RLS기반 Natural Actor-Critic 알고리즘을 이용한 트레이딩 전략 (Trading Strategy Using RLS-Based Natural Actor-Critic algorithm)

  • 강대성;김종호;박주영;박경욱
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2005년도 추계학술대회 학술발표 논문집 제15권 제2호
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    • pp.238-241
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    • 2005
  • 최근 컴퓨터를 이용하여 효과적인 트레이드를 하려는 투자자들이 늘고 있다. 본 논문에서는 많은 인공지능 방법론 중에서 강화학습(reinforcement learning)을 이용하여 효과적으로 트레이딩하는 방법에 대해서 다루려한다. 특히 강화학습 중에서 natural policy gradient를 이용하여 actor의 파라미터를 업데이트하고, value function을 효과적으로 추정하기 위해 RLS(recursive least-squares) 기법으로 critic 부분을 업데이트하는 RLS 기반 natural actor-critic 알고리즘을 이용하여 트레이딩을 수행하는 전략에 대한 가능성을 살펴 보기로 한다.

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