• Title/Summary/Keyword: 선의 방향

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Branch line directional coupler with coupled lines (결합 선로를 이용한 브랜치 선로 방향성 결합기)

  • Han, Dae-Hyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.2
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    • pp.286-291
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    • 2011
  • Directional couplers are widely used in RF and microwave applications to distribute or monitor signals. This paper presented a new structure of microstrip branch line directional coupler with coupled lines. The loose couplings of microstrip branch line directional couplers are impractical for the high characteristic impedance values required for the shunt branches. To overcome this limitation, the parallel coupled lines with the shorts were used for the high characteristic impedance. The results of the simulations and measurements were presented for the proposed branch line directional coupler. Measurement of the 10 dB branch line directional coupler shows that the return loss is higher than 30 dB over 10 % bandwidth and the isolation is 35 dB or better over 8 % bandwidth.

An Effective Crease Detection Method for Feature Information Extraction in Fingerprint Images (지문 영상의 특징 정보 추출을 위한 효율적인 주름선 추출 방법)

  • Park, Sung-Wook;Lee, Byung-Jin
    • 전자공학회논문지 IE
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    • v.44 no.2
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    • pp.32-40
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    • 2007
  • In this paper, the crease extraction method is proposed to improve the accuracy of feature extraction within the fingerprint image. First of all, for each pixel in fingerprint image, it calculates the average grey level and variance to determine if the current pixel composes the crease, and estimates the direction of crease. Secondly, once the direction of every pixel in crease candidate area is estimated, it is decomposed into 8 different images, depending on their direction. The properties of crease consists of the length of the crease candidate area, the correspondence between the crease direction and the pixel distribution direction, the difference between the ridge direction and the pixel distribution direction, and finally the grey level of the candidate pixels. The proposed method finally extracts the crease from the crease clusters estimated from directional images. In conclusion, applying the proposed method improved the accuracy of overall feature extraction by 91.4% by accurately and precisely extracting the crease from fingerprint image.

Synthesis and Characterization of $In_2O_3$ Nanowires in a Wet Oxidizing Environment (습식 산화 분위기에서의 산화 인듐 나노선의 합성 및 구조적 특성)

  • Jeong, Jong-Seok;Kim, Young-Heon;Lee, Jeong-Yong
    • Applied Microscopy
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    • v.33 no.1
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    • pp.17-23
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    • 2003
  • Indium oxide ($In_2O_3$) nanowires were successfully synthesized by a simple reaction in a wet oxidizing environment at low temperature without metal catalyst. The nanowires were characterized by an x-ray diffraction (XRD), a scanning electron microscopy (SEM) equipped with an energy dispersive spectrometry (EDS), and a transmission electron microscopy (TEM). It was shown that the $In_2O_3$ nanowires were two types of morphology, uniform nanowires and nanowires containing $In_2O_3$ nanoparticles in its stem. It was found that lengths of the nanowires were ranges of several micrometers and their diameters were around $10{\sim}250$ nm. The growth direction of the nanowires was investigated and their growth mechanism is also discussed.

Study on Input Baseline Corretion in Nonlinear Seismic Analysis (비선형 지진해석에서 입력의 기준선 조정에 관한 연구)

  • 신태명;신응수
    • Journal of KSNVE
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    • v.10 no.2
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    • pp.338-344
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    • 2000
  • 비선형 구조물에 대하여 미끄러짐 또는 기울어짐 해석을 수행할 때에는 수평 두 방향 입력을 동시에 고려하는 해석을 수행할 것을 추천한다. 그 이유는 단일 방향 입력만을 고려한 비선형 해석의 결과가 입력지진의 기준선 조정 여부에 아주 민감하고 자칫 과도하게 보수적이거나 또는 오히려 비보수적인 결과를 초래할 수 있기 때문이다. 특히, 오래 전에 작성되어 일차적 해석만 가능한 전산 프로그램을 사용하여 해석하는 경우 주의가 요구된다. 본 논문에서는 입력지진의 기준선조정에 의한 영향을 수평 단일방향 입력만을 고려하는 해석과 수평 두 방향 입력을 동시에 고려하는 해석에 대하여 살펴본다. 이를 위하여 자립형 계에 대한 예저 헤석을 수행한 결과, 단일방향 비선형 해석시 나타날 수 있는 이러한 불확실성을 피하기 위하여 두 방향 입력을 동시에 고려하는 해석이 필요하고 입력 지진의 기준선 조정과 연계된 표준화된 지침이 필요하다는 것을 알 수 있었다.

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Detection of electrical power lines using edge direction (에지방향을 이용한 전력선 검출)

  • Kim, Dong-Wook;Kang, Jeong-Hyuck
    • Proceedings of the Korea Information Processing Society Conference
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    • 2010.04a
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    • pp.429-432
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    • 2010
  • 본 논문에서는 열 영상 기반의 전력선 검출을 위한 효과적인 방법을 제안하고자 한다. 제안된 방법에서는 전력선이 가지고 있는 방향 특성을 이용하여 전처리과정을 통해 에지의 방향을 추출하고 이를 기반으로 허프 변환(hough transform)을 이용하여 전력선을 검출한다. 모의실험을 통하여 이러한 전력선 검출 방법 매우 유효한 방법임을 확인할 수 있었다.

Detection of Fingerprint Ridge Direction Based on the Run-Length and Chain Codes (런길이 및 체인코드를 이용한 지문 융선의 방향 검출)

  • Lee Jeong-Hwan;Park Se-Hyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.8
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    • pp.1740-1747
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    • 2004
  • In this paper, we proposed an effective method for detecting fingerprint ridge direction based on the run-length and chain codes. First, a fingerprint image is normalized, and it is thresholded to obtain binary image with foreground and background regions. The foreground regions is composed of fingerprint ridges, and the ridges is encoded with the run-length and chain codes. To detect directional information, the boundary of ridge codes is traced, and curvature is calculated at ecah point of boundary. And the detected direction value is smoothed with appropriate window locally. The proposed method is applied to NIST and FVC2002 fingerprint database to evaluate performance. By the experimental results, the proposed method can be used to obtain ridge direction value in fingerprint image.

Multiple Gabor Filtering based on fingerprint Image Quality (지문영상 화질평가에 기반한 게이버 필터의 다중적용)

  • 이응봉;전성욱;류춘우;김학일
    • Proceedings of the Korean Information Science Society Conference
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    • 2002.10d
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    • pp.460-462
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    • 2002
  • 본 논문은 융선 방향의 화소값 변화와 융선의 수직 방향 화소값 변화의 차이를 이용하여 지문영상의 부영역 화질을 제거대상 영역(Removable Block)과 융선의 흐름이 불명확한 영역(Obscure Block), 융선의 방향성이 명확한 영역(Clear Block) 세 가지로 분류하였다. RB영역은 특징점 추출과정에서 제외 하였으며 OB 영역은 필터의 방향을 달리한 다수의 게이버(Gabor) 필터의 적용으로 처리하였고, CB 영역은 게이버 필터의 방향을 융선의 방향으로 하여 한번의 수행하였다. FVC2002(The Second Fingerprint Verification Competition) DB3 SetA 지문필터링을 영상을 대상으로 한 실험에서 부영역의 화질을 고려한 경우 EER(Equal Error Rate)이 14.31%의 처리속도 향상을 확인할 수 있었다.

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말단팬텀에서 X-선 빔의 방향의존성에 관한 이론적 계산

  • 김광표;윤석철;윤여창;김종수;홍종숙
    • Proceedings of the Korean Nuclear Society Conference
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    • 1996.05d
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    • pp.57-62
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    • 1996
  • ANSI N13.32는 손목팬텀과 손가락팬텀에서 말단선량계의 특성조사를 위하여 방향의존성인자를 선량계의 성능평가에 적용하도록 권고하고 있다. 본 연구에서는 말단선량의 정확한 선량평가를 위하여 ANSI N13.32에 제안된 팬텀과 동일하게 모사하고 그 팬텀내의 7mg/$\textrm{cm}^2$ 깊이에서 단일에너지를 가진 광자의 선량당량환산인자 및 방향의존성인자를 MCNP 전산코드를 사용함으로써 계산하였다. 또한 본 연구의 최종목적인 ISO Narrow X-선 빔에 의해 조사된 손가락팬텀에서 선량당량환산인자 및 방향의존성인자를 도출하였다. 전산 수행한 결과 낮은 전압에서 발생된 X-선 빔인 경우, 팬텀의 주축을 따라 수평회전각이 증가할수록 방향의존성인자가 크게 감소하며, 한편 높은 전압에서 생성된 X-선 빔인 경우, 수평회전각이 증가할수록 방향의존성인자간 처음에는 근소하게 감소하지만 90。까지는 증가하고 있음을 알 수 있었다.

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An Efficient Preprocessing Technique for Improving the Performance of the Crease Detection (지문 영상의 주름선 검출을 위한 효율적인 전처리 기법)

  • Park, Sung-Wook;Park, Jong-Wook
    • Journal of Korea Society of Industrial Information Systems
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    • v.14 no.4
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    • pp.57-64
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    • 2009
  • In this paper, We propose an highly efficient preprocessing technique for improving the performance of the crease extraction method, which can improve the accuracy of feature extraction within the fingerprint image. The proposed method applies the 1-dimensional directional slit for each pixel in fingerprint image. Once the direction of every pixel in crease candidate area is estimated, it is decomposed into different images depending on their direction. From the directional images, the crease clusters are estimated by utilizing the property of crease area. The proposed method finally extracts the crease from the crease clusters estimated from directional images.

Crease detection method using fingerprint image decomposition and composition (지문 영상의 분해 및 합성에 의한 주름선 검출방법)

  • Hwang, Woon-Joo;Park, Sung-Wook;Park, Jong-Kwan;Park, Jong-Wook
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.44 no.3
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    • pp.90-97
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    • 2007
  • For a highly reliable fingerprint recognition system, the precise and accurate feature extraction is indispensable. In this paper, We propose a highly efficient crease extraction method, which can improve the accuracy of feature extraction within the fingerprint image. The proposed method applies the 1-dimensional directional slit for each pixel in fingerprint image. And then it calculates the average grey level and variance to determine whether the current pixel composes the crease, and estimates the direction of crease. Once the direction of every pixel in crease candidate area is estimated, it is decomposed into 8 different images depending on their direction. From the 8 directional images, the crease clusters are estimated by utilizing the property of crease area. The proposed method finally extracts the crease from the crease clusters estimated from directional images. In conclusion, the proposed method highly improved the accuracy of overall feature extraction by accurate and precise extraction of the crease from fingerprint image.