• Title/Summary/Keyword: 곡선 적응

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Signal Interference Rejection using Data-Recycling LMS Algorithm in Digital Communication System (디지털 통신 시스템에서 데이터-재순환 LMS 알고리즘을 이용한 신호 간섭 제어)

  • 김원균;나상동
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.24 no.9A
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    • pp.1329-1338
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    • 1999
  • In this paper, an efficient signal interference control technique to improve the convergence speed of LMS algorithm is introduced. The convergence characteristics of the proposed algorithm, whose coefficients are multiply adapted in a symbol time period by recycling the received data, are analyzed to prove theoretically the improvement of convergence speed. According as the step-size parameter $\mu$ is increased, the rate of convergence of the algorithm is controlled. Also, a increase in the step-size parameter $\mu$ has the effect of reducing the variation in the experimentally computed learning curve. Increasing the eigenvalue spread has the effect of controlling down the rate of convergence of the adaptive equalizer and also increasing the steady-state value of the mean squared error and also demonstrate the superiority of signal interference control to the filter algorithm increasing convergence speed by (B+1) times due to the data-recycling LMS technique.

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Analysis of Burst Detection Based on Adjustable Sampling Interval (가변적 샘플링 기반한 누수탐지 분석)

  • Kim, Seong Won;Jeong, An Chul;Jung, Kwan Sue
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.292-292
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    • 2015
  • 최근 상수관망의 물 공급 과정에서 여러 가지 원인으로 인해 물의 손실에 따른 비용손실이 발생하고 있다. 급수시스템의 경우에는 파열 및 누수발생과 관련되어 사용되는 비용은 분실되는 물의 직적비용, 급수시스템 수리에 따른 공사비용, 공급중지와 관련된 사회적 비용이 있다. 파열 및 누수를 신속하게 감지하는 것은 물 손실에 의해 발생하는 직접 및 간접비용을 줄일 수 있다. 그러나 국내의 경우 정기적으로 매년 1회 시행되는 상수관로에 대한 누수탐지작업으로 신속한 감지 및 즉각적인 대처를 할 수 없는 실정이다. 본 연구에서는 수도관에서 발생되는 파열 및 누수를 탐지하기 위하여 블록 유입부에 설치된 유량계의 샘플링 간격의 영향에 대한 연구를 실시하였다. 적응칼만필터 알고리즘을 이용한 가변 샘플링 간격은 최대 최소 샘플링 간격과 정규화된 잔차의 상한값과 하한값 도입하여 제시하였다. 샘플링 간격의 효과를 강조하기 위해 사인 곡선, 사다리꼴 파열, 불규칙 잡음으로 구성된 가상의 유량 데이터로 알고리즘에 대한 검증실험을 진행하였고 실험 결과 샘플링 간격이 길수록 긴 시간 동안 누수 및 파열에 대한 작은 잔차를 발생시켰다. 모의실험결과 샘플링 주기를 변경함으로써 분석에 필요한 유량 데이터의 샘플수를 크게 줄일 수 있었다.

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A Curve Lane Detection Method using Lane Variation Vector and Cardinal Spline (차선 변화벡터와 카디널 스플라인을 이용한 곡선 차선 검출방법)

  • Heo, Hwan;Han, Gi-Tae
    • KIPS Transactions on Software and Data Engineering
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    • v.3 no.7
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    • pp.277-284
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    • 2014
  • The detection method of curves for the lanes which is powerful for the variation by utilizing the lane variation vector and cardinal spline on the inverse perspective transformation screen images which do not required the camera parameters are suggested in this paper. This method detects the lane area by setting the expected lane area in the s frame and next s+1 frame where the inverse perspective transformation and entire process of the lane filter are adapted, and expects the points of lane location in the next frames with the lane variation vector calculation from the detected lane areas. The scan area is set from the nextly expected lane position and new lane positions are detected within these areas, and the lane variation vectors are renewed with the detected lane position and the lanes are detected with application of cardinal spline for the control points inside the lane areas. The suggested method is a powerful method for curved lane detection, but it was adopted to the linear lanes too. It showed an excellent lane detection speed of about 20ms in processing a frame.

Dose- Response Curves of Mouse Jejunal Crypt Cells by Multifractionated Irradiation (다분할조사에 의한 마우스공장소낭선 세포의 선량반응곡선)

  • Hong, Seong-Eon;Ahn, Chi-Yul
    • Radiation Oncology Journal
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    • v.4 no.2
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    • pp.89-97
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    • 1986
  • Using as assay for jejunal crypt stem cell survival, dose-response curves for the reproductive capacity of crypt stem cells of mouse jejunum exposed to multifractionated gamma-ray irradiation (single, 2, 3, 4, 5, 8, 10, 12, and 16 fractions) were analyzed and single-dose survival curve of these cells was constructed. The following conclusion were drawn: 1) Survival curves for higher numbers of dose fractions were displaced to higher dose, and characterized by increasingly shallower slopes. 2) The single-dose survival curve had broad shoulder, Dq=460 cGy, remaining near-exponential over initial dose range 0 to 300 cGy, with initial slope 1Do=474 cGy. 3) At fractionated dose En the range of 180 to 450 cGy, the average recovered dose per fraction interval was approximately $50\%$ of the dose per fraction. 4) The value of $\alpha/\beta$ ratio by using of linear regression analysis for the reciprocal dose plots was 8.3 Gy which lied in the range of 6-14 Gy for early-reacting tissues. 5) The linear-quadratic model for dose-response formula offers valid approximations for at 1 doses to be used in radiotherapy, only two parameters to be determined, and considerable convenience in practical applications.

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Entropy-Coded Lattice Vector Quantization Based on the Sample-Adaptive Product Quantizer and its Performance for the Memoryless Gaussian Source (표본 적응 프로덕트 양자기에 기초한 격자 벡터 양자화의 엔트로피 부호화와 무기억성 가우시언 분포에 대한 성능 분석)

  • Kim, Dong Sik
    • Journal of the Institute of Electronics and Information Engineers
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    • v.49 no.9
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    • pp.67-75
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    • 2012
  • Optimal quantizers in conducting the entropy-constrained quantization for high bit rates have the lattice structure. The quantization process is simple due to the regular structure, and various quantization algorithms are proposed depending on the lattice. Such a lattice vector quantizer (VQ) can be implemented by using the sample-adaptive product quantizer (SAPQ) and its output can also be easily entropy encoded. In this paper, the entropy encoding scheme for the lattice VQ is proposed based on SAPQ, and the performance of the proposed lattice VQ, which is based on SAPQ with the entropy coder, is asymptotically compared as the rate increases. It is shown by experiment that the gain for the memoryless Gaussian source also approaches the theoretic gain for the uniform density case.

The Improvement of High Convergence Speed using LMS Algorithm of Data-Recycling Adaptive Transversal Filter in Direct Sequence Spread Spectrum (직접순차 확산 스펙트럼 시스템에서 데이터 재순환 적응 횡단선 필터의 LMS 알고리즘을 이용한 고속 수렴 속도 개선)

  • Kim, Gwang-Jun;Yoon, Chan-Ho;Kim, Chun-Suk
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.9 no.1
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    • pp.22-33
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    • 2005
  • In this paper, an efficient signal interference control technique to improve the high convergence speed of LMS algorithms is introduced in the adaptive transversal filter of DS/SS. The convergence characteristics of the proposed algorithm, whose coefficients are multiply adapted in a symbol time period by recycling the received data, is analyzed to prove theoretically the improvement of high convergence speed. According as the step-size parameter ${\mu}$ is increased, the rate of convergence of the algorithm is controlled. Also, an increase in the stop-size parameter ${\mu}$ has the effect of reducing the variation in the experimentally computed learning curve. Increasing the eigenvalue spread has the effect of controlling which is downed the rate of convergence of the adaptive equalizer. Increasing the steady-state value of the average squared error, proposed algorithm also demonstrate the superiority of signal interference control to the filter algorithm increasing convergence speed by (B+1) times due to the data-recycling LMS technique.

Categorized VSSLMS Algorithm (Categorized 가변 스텝 사이즈 LMS 알고리즘)

  • Kim, Seon-Ho;Chon, Sang-Bae;Lim, Jun-Seok;Sung, Koeng-Mo
    • The Journal of the Acoustical Society of Korea
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    • v.28 no.8
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    • pp.815-821
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    • 2009
  • Information processing in variable and noisy environments is usually accomplished by means of adaptive filters. Among various adaptive algorithms, Least Mean Square (LMS) has become the most popular for its robustness, good tracking capabilities and simplicity, both in terms of computational load and easiness of implementation. In practical application of the LMS algorithm, the most important key parameter is the Step Size. As is well known, if the Step Size is large, the convergence rate of the algorithm will be rapid, but the steady state mean square error (MSE) will increase. On the other hand, if the Step Size is small, the steady state MSE will be small, but the convergence rate will be slow. Many researches have been proposed to alleviate this drawback by using a variable Step Size. In this paper, a new variable Step Size LMS(VSSLMS) called Categorized VSSLMS (CVSSLMS) is proposed. CVSSLMS updates the Step Size by categorizing the current status of the gradient, hence significantly improves the convergence rate. The performance of the proposed algorithm was verified from the view point of convergence rate, Excessive Mean Square Error(EMSE), and complexity through experiments.

A Study on the Circadian Rhythm of Opiate Receptor in Rat Brain (백서 뇌내 Opiate 수용체의 일주기 변동에 대한 연구)

  • Lee, Moo-Suck;Kim, Ki-Won;Cho, Kyu-Park
    • The Korean Journal of Pharmacology
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    • v.20 no.2
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    • pp.23-34
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    • 1984
  • To investigate diurnal variations of opiate receptor binding and its modification by experimental condition or treatment of various centrally-acting drugs, the amount of maximum $^3H-morphine$ binding in rat midbrain homogenates was measured at 4 hour intervals for 24 hours. Animals were conditioned under the controlled L : D, 12 : 12 cycle or D: D, 12 : 12 cycle, for 3 weeks and treated with 0.5 ml of physiological saline or drugs for 2 weeks. A highly significant diurnal rhythm with peak at 22 hour of early dark phase with an amplitude$(0.68{\pm}0.06\;pmole/mg\;protein)$ of +51.1% and nadir $(0.33{\pm}0.03\;mole/mg\;prtein)$ at 18 hour of late light phase with an amplitude of -26.6% was found in control group. 24 tour mean of $^3H-morphine$ binding was $0.45{\pm}0.03\;pmole/mg$ protein respectively. Constant dark adaptation or treatment of reserpine, pargyline, imipramine, amphetamine and chlorpromazine modified the diurnal rhythm in the time of peak and nadir binding shape, phase, amplitude of the diurnal curve and 24 hour mean of $^3H-morphine$ binding. However, Kd values were not changed in all experimental groups : Statistical analysis at times of least and great binding indicates that the differences in $^3H-morphine$ binding were due to changes not in the affinity, but in the number of binding sites. The results are interpreted with regard to the diurnal rhythm of opiate receptor finding. The modes of action of psychoactive drugs are closely related to postulated changes of receptor sensitivity in neuropharmacological aspects.

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An Efficient MBR Approximation Scheme for Reducing Dead Space of Bounding Rectangles in The TPR-Tree (TPR-트리에서 경계 사각형의 사장 공간을 줄이기 위한 효율적인 MBR 근사 기법)

  • 최석창;송문배;강상원;황종선
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.10b
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    • pp.91-93
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    • 2004
  • 이동 객체의 현재와 미래 위치 질의에 최적화된 색인 구조로써 TPR-트리가 있다 TPR-트리는 기존의 공간 색인 구조와 달리 이동 객체와 경계 사각형을 참조 위치와 속도 벡터를 매개 변수로 한 시간에 대한 선형 함수 형태로 모델링 함으로써 갱신 비용을 줄이고 현재 및 가까운 미래 위치 정보의 예측을 가능하도록 한다 . 하지만 TPR- 트리는 시간의 정파에 따라 경계 사각형이 선형적으로 환장됨으로 인해 경계 사각형 내의 객체를 제외한 나머지 공간인 사장 공간과 경계 사각 혈들 간의 겹침 현상을 증가시켜 정의 성능이 떨어진다는 단점을 가진다. 본 논문에서는 질의 성능을 향상시키기 위하여 경계 사각형 내의 이동 객체들이 이동함에 따라 변경되는 최소 경계 사각형 (MBR: Minimim Bounding Rectangle)을 베지어 곡선 함수를 이용하여 근사함으로써 사장 공간을 줄이는 적응 경계 사각형 (ABR: Adaptive Bounding Rectangle) 기법을 제안한다.

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Development of Adaptive MPPT Algorithm for Voltage Fluctuation Control in Microgrid (마이크로그리드에서 전압변동 제어를 위한 적응형 MPPT 알고리즘 개발)

  • Lee, Kyoung-Chan;Lee, Soon-Jeong;Oh, Yun-Sik;Seo, Hun-Chul;Kim, Chul-Hwan
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.47-48
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    • 2011
  • PV(Photovoltaic) cell의 출력 전력은 일사량이나 온도와 같은 외부환경의 영향을 받아 변화하게 되므로 PV cell은 전압과 전력의 출력에 있어 비선형적이다. 이와 같은 비선형적 관계로 인해 MPPT(Maximum Power Point Tracking)를 수행하는 것이 PV 시스템에서는 매우 중요하다. 본 논문에서는 PV의 전력-전압 출력 특성에서 MPP를 기준으로 양쪽 경사면의 기울기와 Section의 차이를 이용한 새로운 추종법을 제안하였다. P-V 특성 곡선에서 왼쪽 측면에 비해 오른쪽 측면이 큰 기울기를 갖는 동시에 좁은 Section을 가지므로 제안하는 알고리즘은 이러한 특성을 활용한다. 또한 EMTP를 이용하여 제안된 기법의 성능과 동작을 검증하였다.

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