• 제목/요약/키워드: Averaging Method

검색결과 553건 처리시간 0.023초

유발전위 뇌파 신호의 추출을 위한 구간 래이턴스 교정 평균가산 (Segments latency corrected average for evoked potentials)

  • 이용희;이두수
    • 전자공학회논문지S
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    • 제34S권10호
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    • pp.89-97
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    • 1997
  • To extract time-varying evoked potential (EP), segement latency corrected average method is presented. This method is composed of three steps. First, adaptive filtering for reducing the effect of artifacts and removing background noise is performed. Next, validated intervals of individual segments are aligned, and latency components are detected by cross-correlation between the previously obtained and measured EPs within the intervals. Finally, after the detected latency component, responses of segments are groupe and averaged, the shole corrected EP signal is obtained. In the experiments, the resutls of the conventional methods including simple averaging, Woody's method, and peak component latency corrected averaging are obtained, the results compared with the present method for evaluating performance. Therefore, the presented method confirms that it reflects the latency variations of fundamental peaks and gets the improved EP.

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Collection of dynamical systems with dimensional reduction as a multiscale method of modelling for mechanics of materials

  • Kaczmarek, Jaroslaw
    • Interaction and multiscale mechanics
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    • 제3권1호
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    • pp.1-22
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    • 2010
  • In this paper one introduces a method of multiscale modelling called collection of dynamical systems with dimensional reduction. The method is suggested to be an appropriate approach to theoretical modelling of phenomena in mechanics of materials having in mind especially dynamics of processes. Within this method one formalizes scale of averaging of processes during modelling. To this end a collection of dynamical systems is distinguished within an elementary dynamical system. One introduces a dimensional reduction procedure which is designed to be a method of transition between various scales. In order to consider continuum models as obtained by means of the dimensional reduction one introduces continuum with finite-dimensional fields. Owing to geometrical elements associated with the elementary dynamical system we can formalize scale of averaging within continuum mechanics approach. In general presented here approach is viewed as a continuation of the rational mechanics.

Wavelet 계수 억제에 의한 유발전위 뇌파 신호의 추출 (Extraction of evoked potentials using the shrinkage of wavelet coefficients)

  • 이용희;박현석;김강호;김선일;이두수
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1996년도 추계학술대회
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    • pp.229-232
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    • 1996
  • we propose the shrinkage of wavelet coefficients and the averaging method. The wavelet analysis decomposes the measured evoked potentials into scale coefficients and wavelet coefficients as a resolution level, respectively. And in the course of synthesis of evoked potentials, the presented method shrinks the wavelet coefficients, and then reproduces the evoked potentials and lastly averages it. we measured VEP signal to simulate the presented method, and compared it with averaged signal and LMS algorithm. As a result of simulations, the proposed method gets improved VEP about 0.2-1.6db in comparison with the result of averaging method.

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재질의 공간적 변동이 재료강도시험결과에 미치는 영향 (Effect of Spatial Distribution of Material Properties on its Experimental Estimation)

  • 김선진
    • 동력기계공학회지
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    • 제4권2호
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    • pp.40-45
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    • 2000
  • Some engineering materials are often known to have considerable spatial variation in their resisting strength and other properties. The objective of this study is to investigate the averaging effect and the applicability of extremal statistic for the statistical size effect. In the present study, it is assumed that the material property is a stationary random process in space. The theoretical autocorrelation function of the material strength are discussed for several correlation lengths. And, in order to investigate the statistical size effect, the material properties was simulated by using the non-Gaussian random process method. The material properties were plotted on the Weibull probability papers. The main results are summarized as follows: The autocorrelation function of the material properties are almost independent of the averaging length. The variance decreases with increasing the averaging length. As correlation length is smaller, the slope is larger. And also, it was found that Weibull statistics based on the weakest-link model could not explain the spatial variation of material properties with respect to the size effect satisfactory.

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오차 제어가 가능한 반복적 평균에 의한 디지털 곡선의 스무딩 방법 (A Smoothing Method for Digital Curve by Iterative Averaging with Controllable Error)

  • 류승필
    • 정보과학회 논문지
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    • 제42권6호
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    • pp.769-780
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    • 2015
  • 디지털곡선에 있어서 잡음은 지역적으로 급격한 곡률 변화를 일으키므로 이를 없애거나 그 영향을 완화시키기 위해 평균을 이용한 스무딩 기법을 많이 사용한다. 그런데 스무딩은 그 정도가 지나치면 원래 형태의 특징을 왜곡시키거나, 이미지의 면적이 많이 감소될 수 있고 스무딩이 적으면 잡음이 충분히 제거되지 않는 문제점이 있다. 이 연구에서는 화소로 구성된 디지털 곡선에 대해서 반복적 평균 스무딩의 반복횟수, 이웃 점간의 거리, 평균을 위한 가중치와 스무딩 후의 점의 이동거리 등의 파라메터들 관계를 수학적으로 표현하고, 이 관계를 이용하여 스무딩 곡선을 입력곡선으로부터 허용오차 이내에 있도록 거리오차를 제어하는 방법과 스무딩 속도를 개선하는 방법을 제안한다.

Method for Analysis on Optimization of Averaging Interval of Rainfall Rate Measured by Tipping-Bucket Rain Gauges

  • Nam, Kyung-Yeub;Chang, Ki-Ho;Kim, Kyung-Eak;Oh, Sung-Nam;Choi, Young-Jean;Kim, Kyung-Sik;Lee, Dong-In;Kim, Kum-Lan
    • 대한원격탐사학회지
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    • 제24권1호
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    • pp.17-24
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    • 2008
  • Rainfall data from three different types of rain gauge system have been collected for the summertime rain event at Mokpo in the Korean peninsula. The rain gauge system considered in this paper is composed of three tipping-bucket rain gauges with 0.1, 0.2, and 0.5 mm measuring resolutions, the Optical Rain Gauge (ORG), and the PARSIVEL (PARticle SIze and VELocity). The PARSIVEL rainfall rate has been considered as the reference for comparison since it gave good resolution and performance on this event. Comparison with the PARSIVEL rainfall rate gives the results that the error and temporal variation of rainfall rate are simultaneously reduced with increasing the averaging interval of rainfall rate or decreasing the size of tipping bucket. This suggests that the estimated rainfall rate must be optimized, differently for the type of tipping-bucket rain gages, by minimizing the averaging interval of rainfall rate under the condition satisfying the given performance of rainfall rate.

Proposal of Application Method for Concentration Averaging of Radioactive Waste in Korea by Using CA BTP of US NRC

  • Jiyoung Yi;Chang-Lak Kim
    • 방사성폐기물학회지
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    • 제21권3호
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    • pp.347-357
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    • 2023
  • United States Nuclear Regulatory Commission (U.S. NRC) specifies regulations on obtaining licenses and describes the technical position on the average waste concentration, also known as Concentration Averaging and Encapsulation Branch Technical Position (CA BTP); CA BTP helps classify blendable waste and discrete items and address concentration averaging. The technical position details are reviewed and compared in a real environment in Korea. A few cases of concentration averaging based on the application of CA BTP to domestic radioactive waste are presented, and the feasibility of the application is assessed. The radioactive waste considered herein does not satisfy the Disposal Concentration Limit (DCL) of the second-phase disposal facility while applying the preliminary classification. However, if CA BTP is applied when the radioactive waste is mixed with other radioactive waste items in a large and heavy container, it can be disposed of at the second-phase disposal facility in Gyeongju Repository. To apply the CA BTP of the U.S. NRC, it is necessary to investigate the safety assessment conditions of the US and Korea.

Comparison of Composite Methods of Satellite Chlorophyll-a Concentration Data in the East Sea

  • Park, Kyung-Ae;Park, Ji-Eun;Lee, Min-Sun;Kang, Chang-Keun
    • 대한원격탐사학회지
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    • 제28권6호
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    • pp.635-651
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    • 2012
  • To produce a level-3 monthly composite image from daily level-2 Sea-viewing Wide Field-of-view Sensor (SeaWiFS) chlorophyll-a concentration data set in the East Sea, we applied four average methods such as the simple average method, the geometric mean method, the maximum likelihood average method, and the weighted averaging method. Prior to performing each averaging method, we classified all pixels into normal pixels and abnormal speckles with anomalously high chlorophyll-a concentrations to eliminate speckles from the following procedure for composite methods. As a result, all composite maps did not contain the erratic effect of speckles. The geometric mean method tended to underestimate chlorophyll-a concentration values all the time as compared with other methods. The weighted averaging method was quite similar to the simple average method, however, it had a tendency to be overestimated at high-value range of chlorophyll-a concentration. Maximum likelihood method was almost similar to the simple average method by demonstrating small variance and high correlation (r=0.9962) of the differences between the two. However, it still had the disadvantage that it was very sensitive in the presence of speckles within a bin. The geometric mean was most significantly deviated from the remaining methods regardless of the magnitude of chlorophyll-a concentration values. Its bias error tended to be large when the standard deviation within a bin increased with less uniformity. It was more biased when data uniformity became small. All the methods exhibited large errors as chlorophyll-a concentration values dominantly scatter in terms of time and space. This study emphasizes the importance of the speckle removal process and proper selection of average methods to reduce composite errors for diverse scientific applications of satellite-derived chlorophyll-a concentration data.

A New Method for Segmenting Speech Signal by Frame Averaging Algorithm

  • Byambajav D.;Kang Chul-Ho
    • The Journal of the Acoustical Society of Korea
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    • 제24권4E호
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    • pp.128-131
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    • 2005
  • A new algorithm for speech signal segmentation is proposed. This algorithm is based on finding successive similar frames belonging to a segment and represents it by an average spectrum. The speech signal is a slowly time varying signal in the sense that, when examined over a sufficiently short period of time (between 10 and 100 ms), its characteristics are fairly stationary. Generally this approach is based on finding these fairly stationary periods. Advantages of the. algorithm are accurate border decision of segments and simple computation. The automatic segmentations using frame averaging show as much as $82.20\%$ coincided with manually verified segmentation of CMU ARCTIC corpus within time range 16 ms. More than $90\%$ segment boundaries are coincided within a range of 32 ms. Also it can be combined with many types of automatic segmentations (HMM based, acoustic cues or feature based etc.).

유전체 내의 전계를 급수전개로 표시한 모멘트 방법을 적용한 파수영역의 역산란 방법 (A Spectral Inverse Scattering Technique with Series-Expanded Field in Dirlectric Object)

  • 최현철
    • 한국광학회:학술대회논문집
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    • 한국광학회 1989년도 제4회 파동 및 레이저 학술발표회 4th Conference on Waves and lasers 논문집 - 한국광학회
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    • pp.147-151
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    • 1989
  • A spectral inversion scheme, based on the moment-method procudure with series-expanded field within each cell by dividing the dielectric object into a small number os rectangular cells with large area, is developed to regularize the ill-posedness inherent in inverse scattering problems. One of the interesting features on the presented scheme is that the relative dielectric constant may be obtained by averaging over each cell. This averaging is expected to play an important role in regularizing the high-frequency effect due to noise.

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