• 제목/요약/키워드: proceeding pattern

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개선된 특성점 검출 기법에 의한 QRS 패턴해석 (A QRS pattern analysis algorithm by improved significant point extraction method)

  • 황선철;이병채;남승우;이명호
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1991년도 춘계학술대회
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    • pp.51-55
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    • 1991
  • This paper describes an algorithm of pattern analysis of ECG signals by significant points extraction method. The significant points can be extracted by modified zerocrossing method, which method determines the real significant point among the significant point candidates by zerocrossing method and slope rate of left side and right side. This modified zerocrossing method improves the accuracy of detection of real significant point position. This paper also describes the pattern matching algorithm by a hierarchical AND/OR graph of ECG signals. The decomposition of ECG signals by a hierarchical AND/OR graph can make the pattern matching process easy and fast. Furthermore the pattern matching to the significant points reduces the processing time of ECG analysis.

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Affine-Invariant Image normalization for Log-Polar Images using Momentums

  • Son, Young-Ho;You, Bum-Jae;Oh, Sang-Rok;Park, Gwi-Tae
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.1140-1145
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    • 2003
  • Image normalization is one of the important areas in pattern recognition. Also, log-polar images are useful in the sense that their image data size is reduced dramatically comparing with conventional images and it is possible to develop faster pattern recognition algorithms. Especially, the log-polar image is very similar with the structure of human eyes. However, there are almost no researches on pattern recognition using the log-polar images while a number of researches on visual tracking have been executed. We propose an image normalization technique of log-polar images using momentums applicable for affine-invariant pattern recognition. We handle basic distortions of an image including translation, rotation, scaling, and skew of a log-polar image. The algorithm is experimented in a PC-based real-time vision system successfully.

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A Study on an Inspection System of Repeated Pattern in PDP panel

  • Jung, Ji-Hun;Nam, Sang-woon;Hwang, Yong-Ha;Park, Yong-June;Kang, Tea-Kyu;Jeong, Dea-Hwa
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.126-131
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    • 2004
  • The popularity of flat-panel display(FPD), including plasma display panel(PDP) and liquid-crystal display(LCD), has given rise to the need to streamline their production. In these days, PDP is one of the most popular display devices because of its expansion of manufacturing process and simplicity. Bus electrodes, sustain electrodes, barrier ribs and RGB phosphors are patterned on PDP panel to display an image. Since a minute damage on the pattern can cause a serious defect to display, it is important to inspect the pattern precisely. In this paper, an automatic inspection system of repeated pattern in PDP panel has been introduced to find the defect, such as open, short, dirt, island, and so on. And the inspection system has been operated in the mass production line of PDP.

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클러스터링 기법을 이용한 손가락 마디지문 식별 알고리즘 (A Finger Crease Pattern Identification Algorithm Utilizing Clustering Method)

  • 주일용;안장용;최환수
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 추계종합학술대회 논문집(4)
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    • pp.247-250
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    • 2000
  • This paper proposes a finger crease pattern identification algorithm utilizing a clustering method. The algorithms has been developed for the use of biometric person identification system. Since the finger crease pattern may be well-imaged utilizing low cost imaging devices such as low-end CCD camera with LED lighting, the feasibility of commercialization of the algorithm and the system utilizing the algorithm may be well justified if the finger crease pattern is a reasonable choice for the biometric feature. In this paper, we exploit this possibility and show the potential of using the finger crease pattern as a feature for biometric person identification.

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재공학 환경에서 적용성 향상을 위한 디자인 패턴의 UML 표현 (Design Pattern to Improve the Applicability In a Reengineering Environment Represented with UML)

  • 최성만;김송주;유철중;장옥배;이정열
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2003년도 봄 학술발표논문집 Vol.30 No.1 (B)
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    • pp.148-150
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    • 2003
  • 본 논문은 재공학 환경에서 기존의 디자인 패턴을 적용성 향상을 위해 UML로 표현하였으며, 대상으로는 디자인 패턴 중에서 Strategy Pattern과 Visitor Pattern을 이용해 보았다. Strategy Pattern에서는{variation}과 {incomplete}를 이용하였다.{variation}은 메소드 구현시 패턴을 캡슐화하여 다양하게 변경될 수 있도록 하였다. 또한,{incomplete}는 주어진 관계를 만족하는 새로운 클래스가 패턴 인스턴스화 동안에 추가될 수 있도록 하였다. Visitor pattern에서의{extensible}은 클래스 인터페이스가 패턴을 캡슐화하고 있는 개념으로 다양하게 변경될 수 있도록 하였다. 즉, 클래스 인터페이스는 패턴 인스턴스화에 의존적이며 새로운 메소드와 속성을 클래스가 기능적으로 확장할 수 있는 기능을 갖는다.

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잠수복 패턴 자동 설계 및 $CO_2$ 레이저 절단을 위한 통합 시스템 개발 (Integrated Automation System of Pattern Design and $CO_2$ Laser Cutting for Diving Suits)

  • 윤세봉;강병수;강재관;김여숙
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2004년도 추계학술대회 논문집
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    • pp.409-412
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    • 2004
  • In this paper, an integrated automation system of pattern design and $CO_2$ laser cutting for diving suits is presented. Pattern design includes grading which creates a full-size range from a base pattern. Tool path for laser cutting from the patterns is generated in G-code format. $CO_2$ Laser cutting machine is developed to help cut the patterns with accuracy and speed. Aluminum profiles, ball screws, and stepping motors are engaged into the machine as frame structure, transfer unit, and driving devices respectively. The developed system is tested in dry suit cutting, convincing it can be readily introduced in driving suits manufacturing with respect to cost and efficiency.

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유전 알고리즘을 이용한 모듈화된 신경망의 비선형 함수 근사화 (Nonlinear Function Approximation of Moduled Neural Network Using Genetic Algorithm)

  • 박현철;김성주;김종수;서재용;전홍태
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2001년도 추계학술대회 학술발표 논문집
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    • pp.10-13
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    • 2001
  • Nonlinear Function Approximation of Moduled Neural Network Using Genetic Algorithm Neural Network consists of neuron and synapse. Synapse memorize last pattern and study new pattern. When Neural Network learn new pattern, it tend to forget previously learned pattern. This phenomenon is called to catastrophic inference or catastrophic forgetting. To overcome this phenomenon, Neural Network must be modularized. In this paper, we propose Moduled Neural Network. Modular Neural Network consists of two Neural Network. Each Network individually study different pattern and their outputs is finally summed by net function. Sometimes Neural Network don't find global minimum, but find local minimum. To find global minimum we use Genetic Algorithm.

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Finding approximate occurrence of a pattern that contains gaps by the bit-vector approach

  • Lee, In-Bok;Park, Kun-Soo
    • 한국생물정보학회:학술대회논문집
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    • 한국생물정보시스템생물학회 2003년도 제2차 연례학술대회 발표논문집
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    • pp.193-199
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    • 2003
  • The application of finding occurrences of a pattern that contains gaps includes information retrieval, data mining, and computational biology. As the biological sequences may contain errors, it is important to find not only the exact occurrences of a pattern but also approximate ones. In this paper we present an O(mnk$_{max}$/w) time algorithm for the approximate gapped pattern matching problem, where m is the length of the text, H is the length of the pattern, w is the word size of the target machine, and k$_{max}$ is the greatest error bound for subpatterns.

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Pattern Characteristic by Electrostatic Field Induced Drop-On-Demand Ink-jet Printing

  • Choi, J.Y.;Kim, Y.J.;Son, S.U.;Kim, Y.M.;Lee, S.H.;Byun, D.Y.;Ko, H.S.
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2007년도 춘계학술대회A
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    • pp.451-454
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    • 2007
  • This paper presents the pattern characteristic using the electrostatic drop-on-demand ink-jet printing system. In order to achieve the pattern characteristic of electrostatic inkjet printing, the capillary inkjet head system is fabricated using capillary tube, Pt wire and electrode, and is packaged by acrylic board for the accurate alignment between wire and electrode-hole. The applied DC voltage of 1.4 $\sim$ 2.0 kV used for the observation of electrostatic droplet ejection. Electrostatic droplet ejection is directly observed using a high-speed camera. For investigated pattern characteristic, conductive inkjet silver ink used. The higher voltage has a good condition which has micro dripping mode. Also, the droplet size decreases with increasing the supplied DC voltage. This paper shows the pattern which is formed by about 300um. Also, capillary inkjet head system will be applied industrial area comparing conventional electrostatic inkjet head system.

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전자 스페클 패턴 간섭계를 이용한 형상 측정 (Surface contouring using Electronic Speckle Pattern Interferometry)

  • 김계성;유원재;강영준
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1995년도 추계학술대회 논문집
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    • pp.397-401
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    • 1995
  • ESPI(Electronic Speckle Pattern Interfermetry) is an optical technique to measure surface deforamtion of engineering components and materials in industrial ares. This optical method is capable of providing full-field results with high spatial resolution, high speed and is the non-contact technique. One of important application aspects using electronic speckle pattern interferometry is to generate contours of a diffuse object in order to provide data for 3-D shape analysis and topography measurement. The contouring method by modified dual-beam speckle pattern interferometry is proposed. We introduce a shift of the illumination beams through optical fiber in order to obtain the contour fringe patterns. The speckle pattern correlation technique is suitable for providing measurement range from millimeters to several centimeters. The complete geometric analysis of the contoretical and experimental results are obtained.

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