• Title/Summary/Keyword: Kyungjoo

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Analysis of Cellular Fatty Acid Methyl Esters (FAMEs) for the Identification of Bacillus anthracis (균체 지방산 분석을 이용한 Bacillus anthracis의 동정)

  • Kim, Won-Yong;Song, Tae-Wook;Song, Mi-Ok;Nam, Ji-Yeon;Park, Chul-Min;Kim, Ki-Jung;Chung, Sang-In;Choi, Chul-Soon
    • The Journal of the Korean Society for Microbiology
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    • v.35 no.1
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    • pp.31-40
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    • 2000
  • Bacillus anthracis, the etiological agent of anthrax has been classified into the Bacillus subgroup I with B. cereus, B. mycoides and B. thuringiensis based on morphological and DNA similarity. DNA studies have further indicated that these species have very AT-rich genomes and high homology, indeed it has been proposed that these four sub-species be recognized as members of the one species. Several methods have been developed to obtain good differentiation between these species. However, none of these methods provides the means for an absolutely correct differntiation. The analysis of fatty acid methyl esters (FAMEs) was employed as a quick, simple and reliable method for the identification of 21 B. anthracis strains and closley related strains. The most significant differences were found between B. anthracis and B. anthracis closely related strains in FAMEs profiles. All tested strains of B. anthracis had a branched fatty acid C17:1 Anteiso A, whereas the fraction of unsaturated fatty acid Iso C17:1 w10c was found in B. anthracis closely related strains. By UPGMA clustering analysis of FAMEs profiles, all of the tested strains were classified into two clusters defined at Euclidian distance value of 24.5. The tested strains of B. anthracis were clustered together including Bacillus sp. Kyungjoo 3. However, the isolates of B. anthracis closely related spp. Rho, S10A, 11R1, CAU9910, CAU9911, CAU9912 and CAU9913 were clustered with the other group. On the basis of these results, isolates of B. anthracis Bongchon, Kyungjoo 1, 2 and Bacillus sp. Kyungjoo 3 were reclassified as a B. anthracis. It is concluded that FAMEs analysis provides a sensitive and reliable method for the identification of B. anthracis from closely related taxa.

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A New Covert Visual Attention System by Object-based Spatiotemporal Cues and Their Dynamic Fusioned Saliency Map (객체기반의 시공간 단서와 이들의 동적결합 된돌출맵에 의한 상향식 인공시각주의 시스템)

  • Cheoi, Kyungjoo
    • Journal of Korea Multimedia Society
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    • v.18 no.4
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    • pp.460-472
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    • 2015
  • Most of previous visual attention system finds attention regions based on saliency map which is combined by multiple extracted features. The differences of these systems are in the methods of feature extraction and combination. This paper presents a new system which has an improvement in feature extraction method of color and motion, and in weight decision method of spatial and temporal features. Our system dynamically extracts one color which has the strongest response among two opponent colors, and detects the moving objects not moving pixels. As a combination method of spatial and temporal feature, the proposed system sets the weight dynamically by each features' relative activities. Comparative results show that our suggested feature extraction and integration method improved the detection rate of attention region.

Detection of Abnormal Region of Skin using Gabor Filter and Density-based Spatial Clustering of Applications with Noise (가버 필터와 밀도 기반 공간 클러스터링을 이용한 피부의 이상 영역 검출)

  • Jeon, Minseong;Cheoi, Kyungjoo
    • Journal of Korea Multimedia Society
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    • v.21 no.2
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    • pp.117-129
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    • 2018
  • In this paper, we suggest a new system that detects abnormal region of skim. First, an illumination elimination algorithm which uses LAB color model is processed on input facial image to obtain robust facial image for illumination, and then gabor filter is processed to detect the reactivity of discontinuity. And last, the density-based spatial clustering of applications with noise(DBSCAN) algorithm is processed to classify areas of wrinkles, dots, and other skin diseases. This method allows the user to check the skin condition of the images taken in real life.

An Optimal Hangul Code System For The Korean Language Processing (한국어 정보처리를 위한 최적화 한글 코드에 관한 연구)

  • Byun, Jeong-Yong
    • Annual Conference on Human and Language Technology
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    • 1989.10a
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    • pp.39-43
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    • 1989
  • 컴퓨터에 의한 한글정보처리의 주체는 한글이며, 객체는 그 처리도구인 컴퓨터라는 전제하에서 한글문자의 개별성에 의한 주체적 파악을 통하여, 한국어 정보처리에 최적한 코드로의 개선안을 제안한다. 개선안의 구체적 대상 범주로서 최근의 한국어 정보처리의 응용분야인 자연언어처리, 문자인식, 음성 인식 및 합성, 전자출판등이 점차 확대되어 가고 있다는 관점에서 보아서 기존의 코드가 가지고 있는 문제점을 분석하고 이들에 최적한 코드는 무엇이며 어떠한 성격을 가져야 하며, 그들이 기존의 코드가 중요시하던 처리효율이나 저장 효율의 문제에 어떠한 영향을 미치는지에 대하여 해당 알고리즘을 개발하고 이들에 대한 평가를 해보인다.

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A Security System that Flexibly Generates a Range of Direction Data and Recognizes the Pattern (적응적으로 방향 데이터의 범위를 생성하여 패턴을 인식하는 보안시스템)

  • Han, Juchan;Jeon, Minseong;Kim, Jeongyeong;Cheoi, Kyungjoo
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2016.06a
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    • pp.103-105
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    • 2016
  • 본 논문에서는 손의 움직임 패턴으로 암호를 구성하고, 이를 인식하는 보안 시스템에서 기존의 고정된 공간에서 방향 데이터 범위를 생성하여 입력되는 패턴마다 적응적으로 방향 데이터를 뽑아낼 수 없었던 단점을 극복하고자 입력되는 움직임 패턴의 방향 데이터를 입력 패턴마다 적응적으로 생성하는 방법을 제안한다. 기존의 고정된 공간에서의 방향 데이터 생성 방식 기법과 비교 실험한 결과 정인식률 94.2%로 기존방식의 91.4%보다 높은 인식률로 만족할 만한 성능을 보여줌을 확인할 수 있었다.

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An Intelligent Fire Leaning and Detection System (지능형 화재 학습 및 탐지 시스템)

  • Cheoi, Kyungjoo
    • Journal of Korea Multimedia Society
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    • v.18 no.3
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    • pp.359-367
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    • 2015
  • In this paper, we propose intelligent fire learning and detection system using hybrid visual attention mechanism of human. Proposed fire learning system generates leaned data by learning process of fire and smoke images. The features used as learning feature are selected among many features which are extracted based on bottom-up visual attention mechanism of human, and these features are modified as learned data by calculating average and standard variation of them. Proposed fire detection system uses learned data which is generated in fire learning system and features of input image to detect fire.

A Security System using a Movement Pattern drawn with Fingers (손가락으로 그린 움직임 패턴을 이용한 보안 시스템)

  • Han, Juchan;Jeon, Minseong;Cheoi, Kyungjoo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2016.04a
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    • pp.730-732
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    • 2016
  • 본 논문에서는 보다 보안을 높이기 위해서 인가된 사용자의 암호를 번호로 구성하지 않고, 사용자만이 알고 있는 간단하면서도 독특한 손가락의 움직임 패턴으로 구성하고, 이를 적용한 보안 시스템을 제안하였다. 제안하는 시스템은 등록단계에서 립모션 컨트롤러(Leap Motion Controller)를 사용하여 손가락의 보안패턴을 입력받았으며, OpenGL과 OpenCV를 사용하여 구현하였다. 실험 결과 제안하는 시스템은 잘못된 보안 패턴을 정확히 걸러내었으며, 정인식률도 91.4%로 만족할 만한 성능을 보여주었다.

A Novel OLED Inspection Process Method with Simultaneous Measurement for Standard and Deposition Pattern (기준패턴과 증착패턴의 동시 측정을 통한 OLED 공정 검사 방법)

  • Kwak, Byeongho;Cheoi, Kyungjoo
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.15 no.4
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    • pp.63-70
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    • 2019
  • The subject of the simultaneous measuring system of base pattern and deposition pattern is a new research topic on a defect inspection of OLED. In this paper, we propose a new OLED inspection method that simultaneously measures standard and deposition pattern images. This method reduces unnecessary processes and tac time during OLED inspection. For an additional reduction of the tac time during pattern measurement, the ROI was configured to measure only in the designated ROI area instead of measuring the entire area of an image. During the ROI set-up, the value of effective deposition pattern area is included so that if the deposition pattern is out of the ROI zone, it would be treated as a defect before measuring the size and center point of the pattern. As a result, the tac time and inspection process could be shortened. The proposed method also could be applied to the OLED manufacturing process. Production of OLED could be increased by reducing tac time and inspection process.

A System for Personal Information Detection Encrypt/Discryption (문서파일 내의 개인정보탐색 및 암·복호화 시스템)

  • Kim, Beckyeob;Lee, Juhee;Choi, Kyungjoo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2014.11a
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    • pp.479-481
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    • 2014
  • 개인정보보호법의 개정안이 1년간의 계도 기간을 거쳐 2014년 8월 7일에 시행되었다. 개인정보 보호법은 개인정보보호에 관한 법률이 포함하고 있으며 크게 관리적인 보호조치와 기술적 보호 조치로 구분된다. 본 시스템은 기술적인 보호조치에 해당하며, 개인정보가 포함된 문서를 탐지 및 암 복호화 한다. 개인 정보를 보호하는 방법에 있어서 개인정보에 해당하는 패턴을 정의하고, 상기 패턴을 참조하여 컴퓨터에 저장된 파일에 개인정보가 포함되어 있는가를 검색하며, 정보보호를 위한 암 복호화 동작을 수행하는 정보보호단계를 제공함으로써, 개인정보가 포함되어 있는 파일의 외부 유출을 차단할 수 있을 것으로 기대된다.