• Title/Summary/Keyword: 정렬행렬

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SDINS Closed Loop Self-Alignment Algorithm using Pseudo Initial Position (가상의 초기위치를 이용한 SDINS 폐루프 자체 정렬 알고리즘)

  • Kim, Taewon
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.45 no.6
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    • pp.463-472
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    • 2017
  • Inertial Navigation System Alignment is the process to determine direction cosine matrix which is the transformation matrix between the INS body frame and navigation frame. INS initial position value is necessary to INS attitude calculation, so that user should wait until he get such value to start the INS alignment. To remove the waiting time, we propose an alignment algorithm that immediately starts after the INS power on by using pseudo initial position input and then is completed with attitude error compensation by entering true position later. We analyse effect of INS sensor error on attitude in process of time and verify the performance and usefulness of the close-loop alignment algorithm which corrects attitude error from the change of initial position.

An Adaptive Algorithm for Plagiarism Detection in a Controlled Program Source Set (제한된 프로그램 소스 집합에서 표절 탐색을 위한 적응적 알고리즘)

  • Ji, Jung-Hoon;Woo, Gyun;Cho, Hwan-Gyu
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.10b
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    • pp.580-585
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    • 2006
  • 본 논문에서는 대학생들의 프로그래밍 과제물이나 프로그래밍 경진대회에 제출된 프로그램과 같이 동일한 기능을 요구받는 프로그램 소스 집합들에서 표절 행위가 있었는지를 탐색하는 새로운 알고리즘을 제시한다. 본 논문에서는 프로그램의 소스 집합에서 추출된 키워드들의 빈도수에 기반한 로그 확률값을 가중치로 하는 적응적(adaptive) 유사도 행렬을 만들어 이를 기반으로 주어진 프로그램의 유사구간을 탐색하는 지역정렬(local alignment) 방법을 소개한다. 우리는 10여개 이상의 프로그래밍 대회에 제출된 실제 프로그램으로 본 방법론을 실험하였다. 실험결과 이 방법은 이전의 고정적 유사도 행렬(일치 +1, 불일치 -1, 갭(gap)을 이용한 일치 -2)에 의한 유사구간 탐색에 비하여 여러 장점이 있음을 알 수 있었으며, 보다 다양한 표절탐색 목적으로 제시한 적응적 유사도 행렬이 응용될 수 있음을 알 수 있었다.

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Principal Component Analysis as a Preprocessing Method for Protein Structure Comparison (단백질 구조 비교를 위한 전처리 기법으로서의 주성분 분석)

  • Park Sung Hee;Park Chan Yong;Kim Dae Hee;Park Soo-Jun;Park Seon Hee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2004.11a
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    • pp.805-808
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    • 2004
  • 본 논문에서는 두 단백질의 구조적 유사성을 기반으로 한 단백질 비교를 위해서 전처리 기법으로서의 주성분분석기법을 소개한다. 기존의 백본 및 알파탄소 간의 거리행렬(distance matrix), 2차 구조 비교기법, 구역(segment)단위의 비교 기법과 같은 단백질 비교 기법들은 위치이동(translation)와 회전(rotation)에 불변한(invariant) 차이를 구하기 위하여 거리행렬을 이용하였다. 그리고, 난 다음 이들의 최적화 과정을 거쳤다. 그러나, 본 논문에서 제시하는 전처리 기법으로서의 주성분분석기법은 단백질 구조를 전체적인 구조 관점에서 위치를 정렬시킨 후에 단백질 간의 구조를 비교하는 방식이다. 단백질의 구조의 방향성(Orientation)을 맞춘 다음에는 다양한 단백질 표현으로 구를 비교할 수 있다. 본 논문에서는 두 단백질의 구조의 유사성을 측정하기 위한 간결한 단백질 표현(representation)으로 3 차원 에지 히스토그램을 사용하였다. 이 기법은 방향성을 정렬하기 위하여 기존의 방법에서 사용되었던 반복적인 거리계산을 통한 최적화하는 과정을 없앰으로써 단백질 구조 비교 시간을 단축할 수 있는 새로운 단백질 구조 비교 패러다임을 가능하게 한다. 따라서, 이 패러다임을 통하여 적절한 단백질 구조 방향성 정렬과 단백질 구조 표현을 이용한 단백질 구조 비교 검색 시스템은 많은 양의 단백질 구조 정보로부터 원하는 형태의 단백질 구조를 빠른 시간에 검색할 수 있는 장점을 가질 수 있다.

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An Adaptive Algorithm for Plagiarism Detection in a Controlled Program Source Set (제한된 프로그램 소스 집합에서 표절 탐색을 위한 적응적 알고리즘)

  • Ji, Jeong-Hoon;Woo, Gyun;Cho, Hwan-Gue
    • Journal of KIISE:Software and Applications
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    • v.33 no.12
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    • pp.1090-1102
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    • 2006
  • This paper suggests a new algorithm for detecting the plagiarism among a set of source codes, constrained to be functionally equivalent, such are submitted for a programming assignment or for a programming contest problem. The typical algorithms largely exploited up to now are based on Greedy-String Tiling, which seeks for a perfect match of substrings, and analysis of similarity between strings based on the local alignment of the two strings. This paper introduces a new method for detecting the similar interval of the given programs based on an adaptive similarity matrix, each entry of which is the logarithm of the probabilities of the keywords based on the frequencies of them in the given set of programs. We experimented this method using a set of programs submitted for more than 10 real programming contests. According to the experimental results, we can find several advantages of this method compared to the previous one which uses fixed similarity matrix(+1 for match, -1 for mismatch, -2 for gap) and also can find that the adaptive similarity matrix can be used for detecting various plagiarism cases.

Automatic Inter-Phoneme Similarity Calculation Method Using PAM Matrix Model (PAM 행렬 모델을 이용한 음소 간 유사도 자동 계산 기법)

  • Kim, Sung-Hwan;Cho, Hwan-Gue
    • The Journal of the Korea Contents Association
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    • v.12 no.3
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    • pp.34-43
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    • 2012
  • Determining the similarity between two strings can be applied various area such as information retrieval, spell checker and spam filtering. Similarity calculation between Korean strings based on dynamic programming methods firstly requires a definition of the similarity between phonemes. However, existing methods have a limitation that they use manually set similarity scores. In this paper, we propose a method to automatically calculate inter-phoneme similarity from a given set of variant words using a PAM-like probabilistic model. Our proposed method first finds the pairs of similar words from a given word set, and derives derivation rules from text alignment results among the similar word pairs. Then, similarity scores are calculated from the frequencies of variations between different phonemes. As an experimental result, we show an improvement of 10.1%~14.1% and 8.1%~11.8% in terms of sensitivity compared with the simple match-mismatch scoring scheme and the manually set inter-phoneme similarity scheme, respectively, with a specificity of 77.2%~80.4%.

Fundamental Matrix Estimation and Key Frame Selection for Full 3D Reconstruction Under Circular Motion (회전 영상에서 기본 행렬 추정 및 키 프레임 선택을 이용한 전방향 3차원 영상 재구성)

  • Kim, Sang-Hoon;Seo, Yung-Ho;Kim, Tae-Eun;Choi, Jong-Soo
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.46 no.2
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    • pp.10-23
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    • 2009
  • The fundamental matrix and key frame selection are one of the most important techniques to recover full 3D reconstruction of objects from turntable sequences. This paper proposes a new algorithm that estimates a robust fundamental matrix for camera calibration from uncalibrated images taken under turn-table motion. Single axis turntable motion can be described in terms of its fixed entities. This provides new algorithms for computing the fundamental matrix. From the projective properties of the conics and fundamental matrix the Euclidean 3D coordinates of a point are obtained from geometric locus of the image points trajectories. Experimental results on real and virtual image sequences demonstrate good object reconstructions.

A Transfer Alignment Considering Measurement Time-Delay and Ship Body Flexure (측정치 시간지연과 선체의 유연성을 고려한 전달정렬 기법)

  • Lim, You-Chol;Lyou, Joon
    • Journal of the Korea Institute of Military Science and Technology
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    • v.4 no.1
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    • pp.225-233
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    • 2001
  • This paper deals with the transfer alignment problem of SDINS(StrapDown Inertial Navigation System) subjected to roll and pitch motions of the ship. Specifically, to reduce alignment errors induced by measurement time-delay and ship body flexure, an error compensation method is suggested based on delay state augmentation and DCM(Direction Cosine Matrix) partial matching. A linearized error model for the velocity and attitude matching transfer alignment system is first derived by linearizing the nonlinear measurement equation with respect to its time delay and augmenting the delay state into the conventional linear state equations. And then DCM partial matching is properly combined to reduce effects of a ship's Y axis flexure. The simulation results show that the suggested method is effective enough resulting in considerably less azimuth alignment errors.

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An Implicit Unstructured Finite Element Method for Diffraction of Water Waves by Two-Dimensional Floating Breakwaters (부유체 주위의 2차원 회절 문제를 위한 내율적 비정렬 격자 유한요소해법)

  • 정구창
    • Journal of Ocean Engineering and Technology
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    • v.11 no.4
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    • pp.90-101
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    • 1997
  • A hybrid element method is presented for two-dimensional diffraction problem of water waves. In this method, only a limited fluid domain close to irregular bodies is discretized into conventional finite elements, while the remaining infinite domain is treated as one element with analytical representations of high accuracy. A finite element grid is automatically generated by using Dealunay triangulation based on the Bowyer's algorithm and a linear system of equations is approximately solved with the ILU-CGS algorithm. To validate the present scheme, Computational results are compared with the existing experimental data and other numerical solutions.

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Robust Transfer Alignment Method based on Krein Space (크레인 공간에 기반한 강인한 전달정렬 기법)

  • Sung-Hye Choe;Ki-Young Park;Hyoung-Min Kim;Cheol-Kwan Yang
    • Journal of Advanced Navigation Technology
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    • v.25 no.6
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    • pp.543-549
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    • 2021
  • In this paper, a robust transfer alignment method is proposed for a strapdown inertial navigation system(SDINS) with norm-bounded parametric uncertainties. The uncertainties are described by the energy bound constraint, i.e., sum quadratic constraint(SQC). It is shown that the SQC can be coverted into an indefinite quadratic cost function in the Krein space. Krein space Kalman filter is designed by modifying the measurement matrix and the variance of measurement noises in the conventional Kalman filter. Since the proposed Krein space Kalman filter has the same recursive structure as a conventional Kalman filter, the proposed filter can easily be designed. The simulation results show that the proposed filter achieves robustness against measurement time delay and high dynamic environment of the vehicle.

A Novel Sub-image Retrieval Approach using Dot-Matrix (점 행렬을 이용한 새로운 부분 영상 검색 기법)

  • Kim, Jun-Ho;Kang, Kyoung-Min;Lee, Do-Hoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.3
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    • pp.1330-1336
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    • 2012
  • The Image retrieval has been study different approaches which are text-based, contents-based, area-based method and sub-image finding. The sub-image retrieval is to find a query image in the target one. In this paper, we propose a novel sub-image retrieval algorithm by Dot-Matrix method to be used in the bioinformatics. Dot-Matrix is a method to evaluate similarity between two sequences and we redefine the problem for retrieval of sub-image to the finding similarity of two images. For the approach, the 2 dimensional array of image converts a the vector which has gray-scale value. The 2 converted images align by dot-matrix and the result shows candidate sub-images. We used 10 images as target and 5 queries: duplicated, small scaled, and large scaled images included x-axes and y-axes scaled one for experiment.