• 제목/요약/키워드: iterative averaging

검색결과 11건 처리시간 0.027초

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.

가스 메탈 아크 용접에서 추적성능 향상을 위한 성능 비교 연구 (A Study of the Comparison for Performance Advancement of Seam Tracking in Gas Metal Arc Welding)

  • 이정익
    • 한국공작기계학회논문집
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    • 제16권1호
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    • pp.9-18
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    • 2007
  • There have been continuous efforts for automation of joint tracking system. This automation process is mainly used to do in root pass of gas metal arc welding in the field of heavy industry and shipbuilding etc. For automation, it is important using of vision sensor. Welding robot with vision sensor is used for weld seam tracking on welding fabrication. Recently, it is used to on post-weld inspection for weld quality evaluation. For real time seam tracking, it is very important role in vision process technique. Vision process is included in filtering and thinning, segmentation processing, feature extraction and recognition. In this paper, it has shown performance comparison results of seam tracking for real time root pass on gas metal arc welding. It can be concluded better segment splitting method than iterative averaging technique in the performance results of seam tracking.

Bayesian Survival Analysis of High-Dimensional Microarray Data for Mantle Cell Lymphoma Patients

  • Moslemi, Azam;Mahjub, Hossein;Saidijam, Massoud;Poorolajal, Jalal;Soltanian, Ali Reza
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권1호
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    • pp.95-100
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    • 2016
  • Background: Survival time of lymphoma patients can be estimated with the help of microarray technology. In this study, with the use of iterative Bayesian Model Averaging (BMA) method, survival time of Mantle Cell Lymphoma patients (MCL) was estimated and in reference to the findings, patients were divided into two high-risk and low-risk groups. Materials and Methods: In this study, gene expression data of MCL patients were used in order to select a subset of genes for survival analysis with microarray data, using the iterative BMA method. To evaluate the performance of the method, patients were divided into high-risk and low-risk based on their scores. Performance prediction was investigated using the log-rank test. The bioconductor package "iterativeBMAsurv" was applied with R statistical software for classification and survival analysis. Results: In this study, 25 genes associated with survival for MCL patients were identified across 132 selected models. The maximum likelihood estimate coefficients of the selected genes and the posterior probabilities of the selected models were obtained from training data. Using this method, patients could be separated into high-risk and low-risk groups with high significance (p<0.001). Conclusions: The iterative BMA algorithm has high precision and ability for survival analysis. This method is capable of identifying a few predictive variables associated with survival, among many variables in a set of microarray data. Therefore, it can be used as a low-cost diagnostic tool in clinical research.

우리나라 중소하천 코리도의 자연성 평가기법 연구 (A Study on Evaluation Method of Stream Naturalness for Ecological Restoration of Stream Corridors)

  • 조용현
    • 한국조경학회지
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    • 제25권2호
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    • pp.73-81
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    • 1997
  • The main purpose of this study was to develop a new method for evaluation of stream naturalness in order to appraise and prescribe for streams effectively in the process of ecological restoration of stream corridors. The results are as follows : 1) For this purpose six factors were selected on considering the spatial axes of stream corridor variation and total 20 descriptors about the physical structure were selected. 2) The calculation of S.N.I. for each segment was consisted of three steps, such as calculation of S.N.I.s of the individual descriptors, averaging all the descriptors's for each factor, and finally averaging the factors's for the Total S.N.I. 3) The evaluation unit was decided to be 100m size. The score system ranging 1~5 was adopted. Weighting parameters of factors were unified with each other. 4) A GIS model was adopted for classification, calculation, querying, analysing, and presenting S.N.I. information. And the format of S.N.I. maps including statistical graphs and other spatial watershed information was designed for the GIS odel. The naturalness of stream corridor was was investigated by the naturalness of habitat, and assessed by the descriptors focused on physical structure, therefore the S.N.I. can manifest prescriptions for restoration of the stream corridor. On the other hand because some evaluation factors such as water quality, water volume, fauna, flora, functions of stream exosystem has been excluded, S.N.I. could have some limits on representing the full aspects of stream naturalness. This evaluation method is hypothetical one, so it would be investigated through iterative applicatons.

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대역내 전이중 셀룰러 시스템을 위한 반복적인 자기간섭 채널 추정 (Iterative Self-Interference Channel Estimation for In-Band Full-Duplex Cellular Systems)

  • 신창용;유영기
    • 한국산학기술학회논문지
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    • 제19권4호
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    • pp.25-33
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    • 2018
  • 본 논문은 long-term evolution (LTE) 시스템과 같이 하향링크에서 orthogonal frequency division multiple access (OFDMA) 방식을 이용하고 상향링크에서 single-carrier frequency division multiple access (SC-FDMA) 방식을 이용하는 대역 내 전이중 셀룰러 시스템을 위한 반복적인 자기간섭 채널 추정 방법을 제안한다. 이 방법은 기지국이 알고 있는 하향링크 신호와 상향링크 파일럿 신호를 이용하여 대략적인 자기간섭 채널 추정치를 획득한 후, 이것에 주파수 영역에서의 평균화와 시간 영역에서의 채널 절단을 순차적으로 적용하여 채널 추정치를 정교하게 만든다. 또한 이 방법은 이러한 추정 절차를 반복적으로 수행함으로써 채널 추정치의 정확도를 더욱 향상시키며 자기간섭 채널을 획득하기 위해 별도의 무선자원을 전혀 요구하지 않는다. 시뮬레이션을 통해 제안 방법이 정확한 자기간섭 채널 길이에 대한 정보 없이도 자기간섭 채널 추정 성능을 크게 향상하여 자기간섭이 완벽히 제거된 경우에 매우 근접한 상향링크 채널 추정 성능과 SINR 성능을 달성함을 보인다.

Color Enhancement in Images with Single CCD camera in Night Vision Environment

  • Hwang, Wonjun;Ko, Hanseok
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 ITC-CSCC -1
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    • pp.58-61
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    • 2000
  • In this paper, we describe an effective method to enhance the color night images with spatio-temporal multi-scale retinex focused to the Intelligent Transportation System (ITS) applications such as in the single CCD based Electronic Toll Collection System (ETCS). The basic spatial retinex is known to provide color constancy while effectively removing local shades. However, it is relatively ineffective in night vision enhancement. Our proposed method, STMSR, exploits the iterative time averaging of image sequences to suppress the noise in consideration of the moving vehicles in image frame. In the STMSR method, the spatial term makes the dark images distinguishable and preserves the color information day and night while the temporal term reduces the noise effect for sharper and clearer reconstruction of the contents in each image frame. We show through representative simulations that incorporating both terms in the modeling produces the output sequential images visually more pleasing than the original dim images.

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특징점들의 적응적 선택에 근거한 B-spline 곡선근사 (B-spline Curve Approximation Based on Adaptive Selection of Dominant Points)

  • 이주행;박형준
    • 한국CDE학회논문집
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    • 제11권1호
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    • pp.1-10
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    • 2006
  • This paper addresses B-spline curve approximation of a set of ordered points to a specified toterance. The important issue in this problem is to reduce the number of control points while keeping the desired accuracy in the resulting B-spline curve. In this paper we propose a new method for error-bounded B-spline curve approximation based on adaptive selection of dominant points. The method first selects from the given points initial dominant points that govern the overall shape of the point set. It then computes a knot vector using the dominant points and performs B-spline curve fitting to all the given points. If the fitted B-spline curve cannot approximate the points within the tolerance, the method selects more points as dominant points and repeats the curve fitting process. The knots are determined in each step by averaging the parameters of the dominant points. The resulting curve is a piecewise B-spline curve of order (degree+1) p with $C^{(p-2)}$ continuity at each knot. The shape index of a point set is introduced to facilitate the dominant point selection during the iterative curve fitting process. Compared with previous methods for error-bounded B-spline curve approximation, the proposed method requires much less control points to approximate the given point set with the desired shape fidelity. Some experimental results demonstrate its usefulness and quality.

Flexural analysis of thermally actuated fiber reinforced shape memory polymer composite

  • Tiwari, Nilesh;Shaikh, A.A.
    • Advances in materials Research
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    • 제8권4호
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    • pp.337-359
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    • 2019
  • Shape Memory Polymer Composites (SMPC) have gained popularity over the last few decades due to its flexible shape memory behaviour over wide range of strains and temperatures. In this paper, non-linear bending analysis has been carried out for SMPC beam under the application of uniformly distributed transverse load (UDL). Simplified C0 continuity Finite Element Method (FEM) based on Higher Order Shear Deformation Theory (HSDT) has been adopted for flexural analysis of SMPC. The numerical solutions are obtained by iterative Newton Raphson method. Material properties of SMPC with Shape Memory Polymer (SMP) as matrix and carbon fibre as reinforcements, have been calculated by theory of volume averaging. Effect of temperature on SMPC has been evaluated for numerous parameters for instance number of layers, aspect ratio, boundary conditions, volume fraction of carbon fiber and laminate stacking orientation. Moreover, deflection profile over unit length and behavior of stresses across thickness are also presented to elaborate the effect of glass transition temperature (Tg). Present study provides detailed explanation on effect of different parameters on the bending of SMPC beam for large strain over a broad span of temperature from 273-373K, which encompasses glass transition region of SMPC.

A Joint Timing Synchronization, Channel Estimation, and SFD Detection for IR-UWB Systems

  • Kwon, Soonkoo;Lee, Seongjoo;Kim, Jaeseok
    • Journal of Communications and Networks
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    • 제14권5호
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    • pp.501-509
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    • 2012
  • This paper proposes a joint timing synchronization, channel estimation, and data detection for the impulse radio ultra-wideband systems. The proposed timing synchronizer consists of coarse and fine timing estimation. The synchronizer discovers synchronization points in two stages and performs adaptive threshold based on the maximum pulse averaging and maximum (MAX-PA) method for more precise synchronization. Then, iterative channel estimation is performed based on the discovered synchronization points, and data are detected using the selective rake (S-RAKE) detector employing maximal ratio combining. The proposed synchronizer produces two signals-the start signal for channel estimation and the start signal for start frame delimiter (SFD) detection that detects the packet synchronization signal. With the proposed synchronization, channel estimation, and SFD detection, an S-RAKE receiver with binary pulse position modulation binary phase-shift keying modulation was constructed. In addition, an IEEE 802.15.4a channel model was used for performance comparison. The comparison results show that the constructed receiver yields high performance close to perfect synchronization.

Google Earth Engine의 Sentienl-1 SAR를 활용한 남극 빙설 면적 변화 모니터링 (Assessment of Antarctic Ice Tongue Areas Using Sentinel-1 SAR on Google Earth Engine)

  • 이나미;김승희;김현철
    • 대한원격탐사학회지
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    • 제40권3호
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    • pp.285-293
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    • 2024
  • 본 연구는 Google Earth Engine을 활용하여 Sentinel-1 Synthetic Aperture Radar 영상을 통해 남극 Campbell Glacier Tongue (CGT)와 Drygalski Ice Tongue (DIT)의 면적 변화를 2016년부터 2024년까지 모니터링하였다. Otsu 기법과 Simple Non-Iterative Clustering (SNIC) 클러스터링 기법을 사용하여 빙설과 해양을 구분하고 월평균 영상을 통해 빙설 탐지 오류를 줄였다. 분석 결과 CGT는 주기적인 붕괴로 인하여 약 26% 감소하였고 DIT는 전반적으로 증가하다가 최근 급격한 감소를 보였다. Sentinel-2 광학 영상과 비교한 결과 높은 탐지 정확성을 보여 제안된 방법의 신뢰성을 입증하였으며, 본 연구는 남극 빙설과 빙붕의 장기 모니터링에 기여할 것으로 기대된다.