• Title/Summary/Keyword: local similarity

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An Algorithm for multiple local alignment (다중 지역 정렬을 위한 알고리즘)

  • Jang, Suk-Bong;Lee, Gye-Sung
    • Annual Conference of KIPS
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    • 2002.11c
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    • pp.2337-2340
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    • 2002
  • 본 연구는 생물정보학(Bioinformatics)의 가장 기초적인 분야중 하나인, 새롭게 밝혀진 유전자 서열과 이미 밝혀진 유전자 서열 사이의 유사성(similarity)이나 상동성(homology)을 찾기 위한 방법에 대한 연구 중 지역 서열정렬로 사용하는 알고리즘인 Smith-Waterman 알고리즘이 갖고 있는 문제를 파악한다. 긴 서열에 대한 선호를 막고 대신 부분적인 지역 정렬을 다수 개 찾아 정렬시키는 알고리즘을 제안하기로 한다.

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Adaptive Parametric Estimation and Classification of Remotely Sensed Imagery Using a Pyramid Structure

  • Kim, Kyung-Sook
    • Korean Journal of Remote Sensing
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    • v.7 no.1
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    • pp.69-86
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    • 1991
  • An unsupervised region based image segmentation algorithm implemented with a pyramid structure has been developed. Rather than depending on thraditional local splitting and merging of regions with a similarity test of region statistics, the algorithm identifies the homogenous and boundary regions at each level of pyramid, then the global parameters of esch class are estimated and updated with values of the homogenous regions represented at the level of the pyramid using the mixture distribution estimation. The image is then classified through the pyramid structure. Classification results obtained for both simulated and SPOT imagery are presented.

Effects of Local and Sa-am Acupuncture on Hypoadrenia and Chronic Low Back Pain (신정격(腎正格) 침치료와 요추부 국소 침치료가 신허요통(腎虛腰痛)에 미치는 유효성 비교평가)

  • Kim, Seoung-Min;Kim, Ho-Jun;Lee, Myeong-Jong;Shin, Young-Jin
    • The Journal of Korean Medicine
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    • v.30 no.2
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    • pp.104-116
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    • 2009
  • Objectives: This experimental study was designed to show the relationship between kidney qi deficiency and hypoadrenia. A comparative study between Sa-am and local area acupuncture stimulation was conducted. The test results help to show the relationship between kidney qi deficiency and hypoadrenia as well as the recuperation of the patient with the use of VAS, ROM, Sch ber test, ODI and salivary cortisol testing. Methods: 1. Twenty-four adults with chronic low back pain were recruited. Once selected the test population was divided into two different groups. One group was treated only with the use of local area acupuncture and the other with Sa-am acupuncture. 2. At the completion of each acupuncture treatment both groups underwent a VAS, ROM, ODI, $Sch{\ddot{o}}ber$ Test and salivary cortisol test. Results: 1. Both the Sa-am acupuncture group and the local area acupuncture group had statistical significance in VAS decrease and flection ROM increase. 2. Only the Sa-am acupuncture group had statistical significance in extension ROM increase. Only the local area acupuncture group had statistical significance in both lateral flection ROM increase and ODI test. 3. There was statistical significance of correlation between morning salivary cortisol test and adrenal fatigue questionnaire. Conclusions: Both local area acupuncture as well as Sa-am acupuncture treatments were effective for treating lower back pain caused by kidney qi deficiency. In addition, each patients recuperation level can be verified with the results seen from the salivary cortisol test results. The cortisol results suggest a similarity between kidney qi deficiency and hypoadrenia.

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An Application of Network Autocorrelation Model Utilizing Nodal Reliability (집합점의 신뢰성을 이용한 네트워크 자기상관 모델의 연구)

  • Kim, Young-Ho
    • Journal of the Economic Geographical Society of Korea
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    • v.11 no.3
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    • pp.492-507
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    • 2008
  • Many classical network analysis methods approach networks in aspatial perspectives. Measuring network reliability and finding critical nodes in particular, the analyses consider only network connection topology ignoring spatial components in the network such as node attributes and edge distances. Using local network autocorrelation measure, this study handles the problem. By quantifying similarity or clustering of individual objects' attributes in space, local autocorrelation measures can indicate significance of individual nodes in a network. As an application, this study analyzed internet backbone networks in the United States using both classical disjoint product method and Getis-Ord local G statistics. In the process, two variables (population size and reliability) were applied as node attributes. The results showed that local network autocorrelation measures could provide local clusters of critical nodes enabling more empirical and realistic analysis particularly when research interests were local network ranges or impacts.

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Mobile robot indoor map making using fuzzy numbers and graph theory

  • Kim, Wan-Joo;Ko, Joong-Hyup;Chung, Myung-Jin
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10b
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    • pp.491-495
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    • 1993
  • In this paper, we present a methodology to model an indoor environment of a mobile robot using fuzzy numbers and to make a global map of the robot environment using graph theory. We describe any geometric primitive of robot environment as a parameter vector in parameter space and represent the ill-known values of the prameterized geometric primitive by means of fuzzy numbers restricted to appropriate membership functions. Also we describe the spatial relations between geometric prinitives using graph theory for local maps. For making the global map of the mobile robot environment, the correspondence problem between local maps is solved using a fuzzy similarity measure and a Bipartite graph matching technique.

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A Causal-Forecasting Model using Guided Genetic Algorithm in Continuous Manufacturing Process (연속생산공정에서의 유도형 유전알고리즘을 이용한 인과형 예측모델에 관한 연구)

  • 정호상;정봉주
    • Korean Management Science Review
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    • v.17 no.2
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    • pp.39-54
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    • 2000
  • This paper presents a causal forecasting model using guided genetic algorithm in continuous manufacturing process. The guide genetic algorithm(GGA) is an extended genetic algorithm(GA) using penalty function and population diversity index to increase forecasting accuracy. GGA adds to the canonical GA the concept of a penalty function to avoid selecting the unproductive chromosomes and to make a proper searching direction. Also, GGA modifies the current population using the similarity of chromosomes to avoid falling into the trap of local optimal solution. For investigation GGA performance, we used a set of real data that was collected in local glass melting processes, and experimental results show the proposed model results in the better forecasting accuracy than linear regression model and canonical GA.

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Source code Plagiarism Detection with Recursive Local Alignments (재귀적 지역정렬을 이용한 프로그램 표절 탐색)

  • 전명재;이평준;조환규
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.04a
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    • pp.946-948
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    • 2004
  • 지역정렬(local alignment)과 전체정렬(global alignment)로 대표되는 정렬 문제는 전산학 분야의 전형적인 문제로, 두 서열의 전체적인 또는 부문적인 유사성(similarity)을 찾아 주기 위한 방법이다. 특히 정렬은 두 문자열에서 유사하게 나타나는 유사 서브스트링을 찾아내는 문제라든가 근래의 생물정보학에서 두 DNA시퀀스간의 유사도를 판별하는 문제 등에서 매우 중요란 기법이다. 본 논문에서는 두 서열들을 유사하게 매칭 시켜 주는 기존의 정렬 방법을 응용, 변형하여 C, C++. JAVA등으로 짜여진 프로그램 소스들의 유사도를 측정하는 방법을 제시하였다. 실제로 이런 프로그램 소스의 표절은 대학교육 수업과정 등에서 빈번하게 발생되는 문제점으로서 본 논문에서는 프로그램 소스표절을 검사, 탐지할 수 있는 방법론 및 구체적인 프로그램과 그 결과를 제시하고 있다. 아울러 두 프로그램간의 유사성을 비교하기 위해 기존의 지역정렬 방법을 보다 효율적으로 적절히 변형시키는 방법을 제시하고 있다.

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Shape-based Image Retrieval using VQ based Local Differential Invariants

  • Kim , Hyun-Sool;Shin, Dae-Kyu;Chung , Tae-Yun;Park , Sang-Hui
    • KIEE International Transaction on Systems and Control
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    • v.12D no.1
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    • pp.7-11
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    • 2002
  • In this study, fur the shape-based image retrieval, a method using local differential invariants is proposed. This method calculates the differential invariant feature vector at every feature point extracted by Harris comer point detector. Then through vector quantization using LBG algorithm, all feature vectors are represented by a codebook index. All images are indexed by the histogram of codebook index, and by comparing the histograms the similarity between images is obtained. The proposed method is compared with the existing method by performing experiments for image database including various 1100 trademarks.

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A Lossless compression of Medical Images using Global & Local redundancy (전역적.국부적 중복성을 이용한 의료영상의 무손실 압축)

  • Lee, J.S.;Kwon, O.S.;Han, Y.H.;Hong, S.H.
    • Proceedings of the KOSOMBE Conference
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    • v.1996 no.11
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    • pp.293-296
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    • 1996
  • In this paper, we studied two image characteristics, similarity and smoothness, which give rise to local and global redundancy in image representation. The similarty means that any patterns in the image repeat itself anywhere in the rest of image. The smoothness means that the gray level values within a given block vary gradually rather than abruptly. In this sense, we propose a lossless medical image compression scheme which exploits both types of redundancy. This method segments the image into variable size blocks and encodes them depending on characteristics of the block. The proposed compression schemes works better than other compression schemes such as the huffman, the arithmetic, the Lempel-Ziv and the lossless scheme of JPEG.

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Local Differential Pixel Assessment Method for Image Stitching (이미지 스티칭의 지역 차분 픽셀 평가 방법)

  • Rhee, Seong Bae;Kim, kyuheon
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2019.06a
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    • pp.298-301
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    • 2019
  • 이미지 스티칭은 다수의 이미지를 합성하여 카메라의 좁은 시야각(Field of View) 문제를 해결하는 기술이다. 최근 동영상 기반 Panorama, Super Resolution, 360 VR (Virtual Reality) 등의 컨텐츠 사용이 증가함에 따라, 보다 빠르고 정확한 이미지 스티칭 기술의 필요성이 커지고 있다. 지금까지 필요 성능을 만족시키기 위해 많은 알고리즘이 제안되고 있지만, 정확성을 측정하는 객관적 평가 방법은 표준화되지 않고 있다. 최근에서야 PSNR (Peak Signal-to-Noise Ratio) 과 SSIM (Structural Similarity index method) 측정값을 제시하는 방법이 주를 이루고 있지만, 본 논문에서는 PSNR 과 SSIM 측정 방식의 문제점을 밝히고 지역 차분 픽셀 평가 방법을 제안한다. 기하적 유사성과 광도 측정 정보를 포괄하는 LDPM(Local Differential Pixel Mean) 평가 방식을 테스트 이미지를 통해 증명하고 SSIM 과 비교를 통해 해당 평가 방법의 이점을 밝힌다.

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