• Title/Summary/Keyword: 선형 패턴

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Linear antenna analysis using auxiliary potential function (보조 포텐셜 함수를 이용한 선형 안테나 해석)

  • Jeong, Woo Hyeok;Song, Chan Mi;Hwang, Keum Cheol
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.623-624
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    • 2017
  • 본 논문은 보조 포텐셜 함수를 이용하여 선형 안테나를 해석하였다. 다이폴 혹은 모노폴의 구조를 갖는 선형 안테나의 방사특성을 분석하기 위해 보조 포텐셜 함수 개념을 도입하였고 맥스웰 방정식으로부터 헬름홀츠 방정식을 유도하였다. 이에 그린함수 및 원거리 근사를 적용하여 다이폴 및 모노폴 안테나의 radiation field를 구하였고 안테나 길이에 따른 방사패턴 분포차이를 확인하였다. 또한 계산된 방사패턴을 안테나 시뮬레이션 결과와 비교분석하였다. 도출된 radiation field를 기반으로 Poynting vector, radiation power, radiation intensity, directivity, gain 등 안테나 성능 지표를 유도하였다.

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A Study on the Optimum Synthesis of Beam Patterns and Excitation Current Weights for Monopulse Tracking Linear Array Antennas (모노펄스 추적용 선형 배열 안테나 빔 패턴 및 여기 전류 가중치들의 최적 합성에 관한 연구)

  • Park, Eui-Joon
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.19 no.5
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    • pp.533-540
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    • 2008
  • In the sum and difference pattern synthesis problem of the equi-spaced monopulse tracking linear array antennas, an efficient numerical approach to deriving the relative excitation current weights of antenna elements is presented for the desired patterns. This method is based on the optimum perturbation of null points which are inherent to the Schelkunoffs polynomial representing the pattern array factor. Accordingly, opposite to the conventional method in which the excitation weights are directly optimized, this method is advantageous in that the patterns with the desired individual sidelobe levels(SLLs) and the corresponding excitation weights are easily synthesized by the control of null points. Furthermore, it is showed that two types of difference patterns can be synthesized as imposing the different initial values of null points in the optimization process. The proposed method is numerically validated by synthesizing the patterns with the arbitrary SLLs and substituting the extracted results into the array factor equation.

An Implementation of The Position Pattern Generating Algorithm with Minimal Locomotion Time for Single-Axis Linear Machine Drive System (단축 선형 전동기 구동을 위한 최단시간 이동 방식의 위치 패턴 발생 알고리즘의 구현)

  • Kim, Joohn-Sheok
    • The Transactions of the Korean Institute of Power Electronics
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    • v.12 no.3
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    • pp.221-233
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    • 2007
  • In this paper, a simple but effective position profile generation algorithm for single axis high dynamic linear machine drive system is presented. In the recent industrial application fields like as LCD/PDP and semiconductor factory, requirements for the high performance positioning system with optimal position profile generator are highly increased to reduce the overall processing time. There might be various solutions for position profile generating algorithm according to the application type. A square-wave Impact quantity(Jerk) based algorithm with minimal locomotion time is argued in this paper to minimize the total time of one movement under some specific constrains such as maximum speed limit and maximum acceleration limit. In order to reduce the calculation efforts and satisfy the minimal locomotion time condition, the time variants representing each profile sector and a simple condition comparison algorithm are adopted. Also, the actual implementation method for profile generation algorithm and it's real performance results are presented through commercial linear machine drive system.

A Study on Speech Recognition Using Fuzzy Pattern Matching (퍼지패턴매칭에 의한 음성인식에 관한 연구)

  • 이기영
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1991.06a
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    • pp.3-6
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    • 1991
  • 본 연구에서는 음성의 패턴작성법을 개선하고 음성인식율을 향상시키기 위하여 퍼지패턴매칭을 개선한 뉴럴퍼지패턴매칭에(a neural-fuzzy pattern matching)의해 특정화자 고립단어인식을 수행하였다. 이 방법에서는 신경회로망의 연상기억에 의한 사상에 의해 패턴을 작성하여 주파수변동을 흡수하고 표준패턴고 선형매칭에 의해 유사도를 측정하여 인식하므로써 시간변동의 문제를 보완하였다. 또한, 이 방법에서 사용하는 특징피라미터는 2진화 스펙트럽이며, 유사도는 논리연산에 의해 측정되기 때문에 종래의 왜곡척도를 이용한 DTW 방법에 비해 기억용량과 계산량이 매우 작다. 이 방법의 인식성능을 평가하기 위하여 남녀가 발성한 28개의 도시명을 대상으로 인식실험을 수행한 결과, 신경회로망을 이용하지 않은 퍼지패턴매칭보다 오인식을 감소시켰으며, 뉴럴-퍼지 패턴매칭에 의한 특정화자 고립단어인식의 우수성을 확인하였다.

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Design of Pattern Classification Rule based on Local Linear Discriminant Analysis Classifier by using Differential Evolutionary Algorithm (차분진화 알고리즘을 이용한 지역 Linear Discriminant Analysis Classifier 기반 패턴 분류 규칙 설계)

  • Roh, Seok-Beom;Hwang, Eun-Jin;Ahn, Tae-Chon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.22 no.1
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    • pp.81-86
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    • 2012
  • In this paper, we proposed a new design methodology of a pattern classification rule based on the local linear discriminant analysis expanded from the generic linear discriminant analysis which is used in the local area divided from the whole input space. There are two ways such as k-Means clustering method and the differential evolutionary algorithm to partition the whole input space into the several local areas. K-Means clustering method is the one of the unsupervised clustering methods and the differential evolutionary algorithm is the one of the optimization algorithms. In addition, the experimental application covers a comparative analysis including several previously commonly encountered methods.

Control of One Dimensional Inverse Scattering Pattern and Its Applications (일차원 역산란 패턴 제어와 그 응용)

  • 최종인;박의준
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.10 no.2
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    • pp.291-301
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    • 1999
  • A method for the synthesis of one-dimensional nonlinear distribution function is presented for the desired inverse scattering pattern. This method is based on the inverse transform of the solution of the Riccati equation derived from one-dimensional inverse scattering problem. Since the solution is analogous to the array factor or normalized space factor in collinear array antenna, the synthesis method for field pattern is applied for the construction of the involved line-source nonlinear distribution function. The suggested method is carried out under the optimization process, and is numerically verified by synthesizing the dispersive transmission line profile within the specified frequency band and control of scattered field on resistive strip.

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LFSR-based PRPG with phase shifters (페이지 쉬프터를 갖는 LFSR기반의 PRPG)

  • Cho, S.J.;Choi, U.S.;Hwang, Y.H.;Kweon, M.J.;Kim, J.G.;Yim, J.M.;Heo, S.H.
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.10a
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    • pp.343-346
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    • 2009
  • Since an LFSR as a pattern generator has solely linear dependency in itself, it generates sequences by moving the bit positions for a pattern generation. So the correlation between the generated patterns is high and thus reduces the possibility of fault detection. To overcome these problems many researchers have studied to have goodness of randomness between the output test patterns. In this paper, we propose the new and effective method to construct phase shifter as PRPG.

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Multi-parametric Diagnosis Indexes and Emerging Pattern based Classification Technique for Diagnosing Cardiovascular Disease (심혈관계 질환 진단을 위한 복합 진단 지표와 출현 패턴 기반의 분류 기법)

  • Lee, Heon-Gyu;Noh, Ki-Yong;Ryu, Keun-Ho;Jung, Doo-Young
    • The KIPS Transactions:PartD
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    • v.16D no.1
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    • pp.11-26
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    • 2009
  • In order to diagnose cardiovascular disease, we proposed EP-based(emerging pattern- based) classification technique using multi-parametric diagnosis indexes. We analyzed linear/nonlinear features of HRV for three recumbent postures and extracted four diagnosis indexes from ST-segments to apply the multi-parametric diagnosis indexes. In this paper, classification model using essential emerging patterns for diagnosing disease was applied. This classification technique discovers disease patterns of patient group and these emerging patterns are frequent in patients with cardiovascular disease but are not frequent in the normal group. To evaluate proposed classification algorithm, 120 patients with AP (angina pectrois), 13 patients with ACS(acute coronary syndrome) and 128 normal people data were used. As a result of classification, when multi-parametric indexes were used, the percent accuracy in classifying three groups was turned out to be about 88.3%.

A Moment Based Image Affine Information Estimation for Intelligent Robot Vision (지능 로봇 비젼을 위한 모멘트 기반 영상 사형 정보 예측)

  • 강환일;임승철;황원영;신대진
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2004.04a
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    • pp.183-187
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    • 2004
  • 본 논문에서는 기하학적 모멘트를 이용한 영상의 기하학적인 정보 예측 방법을 제안한다. 기준 패턴의 기하학적인 모멘트와 감지 패턴의 기하학적인 모멘트를 이용하여 감지 영상의 선형 이동, 회전, 확대 및 축소를 예측할 수 있다. 또한 XRS 정규화를 통하여 사형 변환된 패턴의 정보를 감지할 수 있다. 실험을 통하여 제안된 방법의 유용성을 보인다.

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A Cylindrical Hybrid Antenna for Shaping Complex Beam Patterns (복합 빔 패턴 형성을 위한 원통형 하이브리드 안테나)

  • Eom, Soon-Young;Jung, Young-Bae;Jeon, Soon-Ick;Kim, Chang-Joo
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.18 no.11
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    • pp.1279-1290
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    • 2007
  • In this paper, a cylindrical hybrid antenna which is spatially fed by an off-set linear feed array is described to form complex beam patterns. The linear feed array consists of twelve micro-strip patch elements and forms a flat-topped beam pattern with a beam-width of $90^{\circ}$ in the horizontal plane. The vertical curve on the cylindrical reflector with the linear feed array is shaped in order to form a cosecant beam pattern within the range of $-5^{\circ}$ to $-25^{\circ}$ in the vertical plane. To form complex beam patterns, the hybrid antenna with cylindrical reflector aperture of $140{\times}50\;cm$ was designed and fabricated to be operated within the IMT 2000 service band, and also electrical performances of the antenna were measured and analyzed.