• Title/Summary/Keyword: Number Matching

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Wavelet Based Matching Pursuit Method for Interpolation of Seismic Trace with Spatial Aliasing (공간적인 알리아싱을 포함한 탄성파 트레이스의 내삽을 위한 요소파 기반의 Matching Pursuit 기법)

  • Choi, Jihun;Byun, Joongmoo;Seol, Soon Jee
    • Geophysics and Geophysical Exploration
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    • v.17 no.2
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    • pp.88-94
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    • 2014
  • Due to mechanical failure or geographical accessibility, the seismic data can be partially missed. In addition, it can be coarsely sampled such as crossline of the marine streamer data. This seismic data that irregular sampled and spatial aliased may cause problems during seismic data processing. Accurate and efficient interpolation method can solve this problem. Futhermore, interpolation can save the acquisition cost and time by reducing the number of shots and receivers. Among various interpolation methods, the Matching Pursuit method can be applied to any sampling type which is regular or irregular. However, in case of using sinusoidal basis function, this method has a limitation in spatial aliasing. Therefore, in this study, we have developed wavelet based Matching Pursuit method that uses wavelet instead of sinusoidal function for the improvement of dealiasing performance. In addition, we have improved interpolation speed by using inner product instead of L-2 norm.

An Effective Block Matching Algorithm for Motion Compensated Coding (이동 보상형 부호화를 위한 효과적인 블록정합 알고리즘)

  • 송현선;김남철;최태호
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.13 no.3
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    • pp.221-230
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    • 1988
  • This paper presents an effective block matching algorithm(BMA) in which the number of search point is about a half of that of three step search, and the number of search step is fixed a four. The performance of the proposed algorithm is compared with those of three step search and one-at-at time search(OTS) for three video sequences composed of 16 framse. Moreover the performance of applying subsampling or integral projection to each BMA for further reducing the amount of computation is considered.

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Use of dummy antenna to monopole antenna factor (더미 안테나를 사용한 모노폴 안테나 보정계수 추출)

  • 안형배;주은정;이황재;강대현;이종악
    • Proceedings of the IEEK Conference
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    • 2001.06a
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    • pp.169-172
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    • 2001
  • This paper has been studied a calibration techniques for monopole antenna in the frequency range 150 KHz to 30 MHz. The long wavelength associated with the low frequency, methods used to calibrate or characterize antennas at higher frequencies are not applicable. The equivalent capacitance substitution method uses a dummy antenna in place of the actual rod element See figure 1. for guidance in making a dummy antenna. Set up the matching network to be characterized and the measuring equipment as shown in Figure 2. Subtract the measured output of the matching network from the measured output of the signal generator and subtract -6 dB(for the 1 m rod). Measurements made at a sufficient number of frequencies number of frequencies to obtain a smooth curve of antenna factor.(fig 5.)

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Eigenvalue and Frequency Response Analyses of a Hard Disk Drive Actuator Using Reduced Finite Element Models (축소된 유한요소모델을 이용한 하드디스크 구동부의 고유치 및 주파수응답 해석)

  • Han, Jeong-Sam
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.31 no.5
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    • pp.541-549
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    • 2007
  • In the case of control for mechanical systems, it is highly useful to be able to provide a compact model of the mechanical system to control engineers using the smallest number of state variables, while still providing an accurate model. The reduced mechanical model can then be inserted into the complete system models and used for extended system-level dynamic simulation. In this paper, moment-matching based model order reductions (MOR) using Krylov subspaces, which reduce the number of degrees of freedom of an original finite element model via the Arnoldi process, are presented to study the eigenvalue and frequency response problems of a HDD actuator and suspension system.

More Efficient Method for Determination of Match Quality in Adaptive Least Square Matching Algorithms

  • Lee, Hae-Yeoun;Kim, Tae-Jung;Lee, Heung-Kyu
    • Proceedings of the KSRS Conference
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    • 1998.09a
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    • pp.274-279
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    • 1998
  • For the accurate generation of DEMs, the determination of match quality in adaptive least square matching algorithm is significantly important. Traditionally, only the degree of convergence of a solution matrix in least squares estimation has been considered for the determination of match quality. It is, however, not enough to determine the true match quality. This paper reports two approaches of match quality determination based on adaptive least square correlation : the conventional if-then logic approaches with scene geometry and correlation as additional quality measures; and, the fuzzy logic approaches. Through these, accurate decision of match quality will minimize the number of blunder and maximize the number of exact match. The proposed methods have been tested on JERS and SPOT images and the results show good performance.

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Real-time Object Recognition with Pose Initialization for Large-scale Standalone Mobile Augmented Reality

  • Lee, Suwon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.10
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    • pp.4098-4116
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    • 2020
  • Mobile devices such as smartphones are very attractive targets for augmented reality (AR) services, but their limited resources make it difficult to increase the number of objects to be recognized. When the recognition process is scaled to a large number of objects, it typically requires significant computation time and memory. Therefore, most large-scale mobile AR systems rely on a server to outsource recognition process to a high-performance PC, but this limits the scenarios available in the AR services. As a part of realizing large-scale standalone mobile AR, this paper presents a solution to the problem of accuracy, memory, and speed for large-scale object recognition. To this end, we design our own basic feature and realize spatial locality, selective feature extraction, rough pose estimation, and selective feature matching. Experiments are performed to verify the appropriateness of the proposed method for realizing large-scale standalone mobile AR in terms of efficiency and accuracy.

A Path Storing and Number Matching Technique of XML Documents Based on RDBMS (RDBMS에 기반한 XML 문서의 경로 저장과 숫자 매칭 기법)

  • Vong, Ha-Ik;Hwang, Byung-Yeon
    • Annual Conference of KIPS
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    • 2006.11a
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    • pp.377-380
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    • 2006
  • 최근 XML(eXtensible Markup language) 사용의 증가로 인해 다량의 대용량 XML 문서가 이용되고 있음에 따라, 효율적인 문서 관리를 위한 XML문서의 데이터 모델과 저장 스키마를 어떻게 구현할 것인가에 대한 연구가 활발히 진행되고 있다. 이에 본 논문에서는 관계형 데이터베이스를 기반으로 한 XML문서에 대한 효율적인 저장, 검색 및 관리 기법으로 노드의 텍스트 값이나 속성 값이 존재하는 경로만을 저장하고, 노드 표현에 따라 고유 노드명 식별자(Node Expression Identifier)를 부여함으로써 부여된 노드 식별자를 매칭하는 숫자 매칭(Number Matching)기법을 제안한다. 그리고 이를 입증하기 위해 WPath 질의들에 대한 처리 성능을 기존 방법과 비교함으로써 제안한 방법의 효율성을 제시한다.

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A User Detection Technique Based on Parallel Orthogonal Matching Pursuit for Large-Scale Random Access Networks (대규모 랜덤 액세스 네트워크에서 병렬 직교매칭퍼슛 기술을 이용한 사용자 검출 기법)

  • Park, Jeonghong;Jung, Bang Chul;Kim, Jinwoo;Kim, Jeong-Pil
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.6
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    • pp.1313-1320
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    • 2015
  • In this paper, we propose a user detection technique based on parallel orthogonal matching pursuit (POMP) for uplink multi-user random access networks (RANs) with a number of users and receiver antennas. In general RANs, it is difficult to estimate the number of users simultaneously transmitting packets at the receiver because users with data send the data without grant of BS. In this paper, therefore, we modify the original POMP for the RAN and evaluate its performances through extensive computer simulations. Simulation results show that the proposed POMP can effectively detect activated users more than about 2%~8% compared with the conventional OMP in RANs.

Study of Spectral Reflectance Reconstruction Based on an Algorithm for Improved Orthogonal Matching Pursuit

  • Leihong, Zhang;Dong, Liang;Dawei, Zhang;Xiumin, Gao;Xiuhua, Ma
    • Journal of the Optical Society of Korea
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    • v.20 no.4
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    • pp.515-523
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    • 2016
  • Spectral reflectance is sparse in space, and while the traditional spectral-reconstruction algorithm does not make full use of this characteristic sparseness, the compressive sensing algorithm can make full use of it. In this paper, on the basis of analyzing compressive sensing based on the orthogonal matching pursuit algorithm, a new algorithm based on the Dice matching criterion is proposed. The Dice similarity coefficient is introduced, to calculate the correlation coefficient of the atoms and the residual error, and is used to select the atoms from a library. The accuracy of Spectral reconstruction based on the pseudo-inverse method, Wiener estimation method, OMP algorithm, and DOMP algorithm is compared by simulation on the MATLAB platform and experimental testing. The result is that spectral-reconstruction accuracy based on the DOMP algorithm is higher than for the other three methods. The root-mean-square error and color difference decreases with an increasing number of principal components. The reconstruction error decreases as the number of iterations increases. Spectral reconstruction based on the DOMP algorithm can improve the accuracy of color-information replication effectively, and high-accuracy color-information reproduction can be realized.

A Binarization Technique using Histogram Matching for License Plate with a Shadow (그림자가 있는 자동차 번호판을 위한 히스토그램 매칭 기반의 이진화)

  • Kim, Jung Hun;Kim, Gibak
    • Journal of Broadcast Engineering
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    • v.19 no.1
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    • pp.56-63
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    • 2014
  • This paper deals with a binarization for plate number recognition. The binarization process converts an image into a binary image and plays an important role for automatically recognizing plate number. The rear license plate has often a shadowed image which causes erroneous binarized image due to non-uniform illumination. In this paper, a binarization method is proposed in which the shadow line is detected in a rear plate with a shadow. And then the histogram matching is conducted for the two image separated by the shadow line. After histogram matching, two images are joined and finally Otsu method is applied for the binarization. In the experiment, the proposed algorithm shows robust performance compared to the conventional method in the presence of estimation error in the shadow line.