• 제목/요약/키워드: Filtering types

검색결과 267건 처리시간 0.022초

협대역 제거형 공간필터법에 의한 직물 결함의 온라인 종류판별 -공간주파수 영역에서의 해석- (On-Line Defect Discrimination of Knitted Fabrics by the Narrow Band Eliminating Spatial Filtering Method -Analysis in Spatial Frequency Domain-)

  • 전승환;김정률
    • 한국항해학회지
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    • 제20권1호
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    • pp.81-85
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    • 1996
  • The defects occurred in knitted fabrics have several types due to some trouble sources. In particular, the defects caused by knitting machine troubles give a serious damage to the whole webs. It is, therefore, necessary to discriminate the kind of defects. The method to discriminate the type and size of defects has been proposed, which is used a pair of narrow band eliminating spatial filters. This method is based upon an isotropic signal processing in time domain. This paper is to confirm that the proposed method can be useful in the discrimination of defects, having analyzed in spatial frequency domain.

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A Study on an Image Restoration Algorithm in Universal Noise Environments

  • Jin, Bo;Kim, Nam-Ho
    • Journal of information and communication convergence engineering
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    • 제6권1호
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    • pp.80-85
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    • 2008
  • Images are often corrupted by noises during signal acquisition and transmission. Among those noises, additive white Gaussian noise (AWGN) and impulse noise are most representative. For different types of noise have different characters, how to remove them separately from degraded image is one of the most fundamental problems. Thus, a modified image restoration algorithm is proposed in this paper, which can not only remove impulse noise of random values, but also remove the AWGN selectively. The noise detection step is by calculating the intensity difference and the spatial distance between pixels in a mask. To divide two different noises, the method is based on three weighted parameters. And the weighted parameters in the filtering mask depend on spatial distances, positions of impulse noise and standard deviation of AWGN. We also use the peak signal-to-noise ratio (PSNR) to evaluate restoration performance, and simulation results demonstrate that the proposed method performs better than conventional median-type filters, in preserving edge details.

사상체질 임상정보 분석을 위한 웹 기반의 의사결정 나무 프로그램 개발 (Development of Decision Tree Program based on Web for Analyzing Clinical Information of Sasang Constitutional Medicine)

  • 진희정;김명근;김종열
    • 한국한의학연구원논문집
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    • 제14권3호
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    • pp.81-87
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    • 2008
  • Sasanag Contitution Medicine(SCM) is the traditional medicine theory based on constitutional medicine in Korea. It is most import ant that a personal SCM type is determined accurately ahead of applying any Sasang treatments. For this, many researches have been studied to diagnose the SCM type using constitutional clinical data. The decision tree is a tree-structured data-mining methodology. Recently, in the Korean traditional medicine society, there have been several efforts to find diagnosing tools using the decision tree method. So, we developed a decision tree program based on web for analyzing constitutional clinical information. It can use various clinical data as input data, offer filtering function to select clinical data to be used. We can find useful factor to be influential on SCM types using this program.

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고조파 억압을 위한 피드 구조를 가진 SIR CPW 대역통과 여파기 (SIR CPW bandpass filter with folded feed structure for suppressing spurious harmonics)

  • 박광선;신철재
    • 한국전자파학회:학술대회논문집
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    • 한국전자파학회 2003년도 종합학술발표회 논문집 Vol.13 No.1
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    • pp.265-268
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    • 2003
  • In this paper, we introduce the SIR typed bandpass filters in CPW structures for shifting spurious harmonic frequency into higher frequency band. And we proposed the effective feed structures for suppressing spurious frequency in the SIR typed CPW bandpass filters. The designed folded feed structures have lowpass filtering characteristic. They are very effective feed types in the CPW bandpass filters for suppressing harmonics. The measured results of the CPW bandpass filter with folded feed line shows that it has suppressed and wide out-of-band up to 5.8fo.

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방향성 정보 척도를 이용한 적응적 다단 메디안 필터에 관한 연구 (A study on Adaptive Multi-level Median Filter using Direction Information Scales)

  • 김수겸
    • Journal of Advanced Marine Engineering and Technology
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    • 제28권4호
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    • pp.611-617
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    • 2004
  • Pixel classification is one of basic image processing issues. The general characteristics of the pixels belonging to various classes are discussed and the radical principles of pixel classification are given. At the same time. a pixel classification scheme based on image direction measure is proposed. As a typical application instance of pixel classification, an adaptive multi-level median filter is presented. An image can be classified into two types of areas by using the direction information measure, that is. smooth area and edge area. Single direction multi-level median filter is used in smooth area. and multi-direction multi-level median filter is taken in the other type of area. What's more. an adaptive mechanism is proposed to adjust the type of the filters and the size of filter window. As a result. we get a better trade-off between preserving details and noise filtering.

분산 환경에서 정보보호 연관 경고 메시지를 이용한 ESM 구현 (An Implementation of ESM with the Security Correlation Alert for Distributed Network Environment)

  • 한근희;전상훈;김일곤;최진영
    • 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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    • 제10권2호
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    • pp.199-208
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    • 2004
  • 본 논문에서는 각 센서에서 수집한 수 많은 경고 메시지중에서 불필요한 정보는 필터링하여, 위험 상태를 크게 4가지의 유형으로 분류하는 SIA 시스템을 제안하고 구현하였다. 또한 제안한 방법을 실제 환경에서 구현하여 현장에서 적용해 본 결과, 실시간으로 이루어지는 네트워크의 위험요소 판정에 도움을 줌으로써 보안관리자가 실질적인 위협에 즉각적으로 대처 할 수 있음을 확인하였다.

m-유형 공간객체를 위한 $R^m$-tree기반의 mk-최근접질의 처리기법 (mkNN Query Processing Method based on $R^m$-tree for Spatial Objects with m-types)

  • 장동주;안수연;정성원
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2011년도 한국컴퓨터종합학술대회논문집 Vol.38 No.1(C)
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    • pp.45-48
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    • 2011
  • 본 논문에서는 다양한 타입의 위치기반 데이터들을 하나의 R-tree로 통합합 $R^m$-tree의 구조와 이 $R^m$-tree를 이용하여 질의 포인트로부터 각 타입에서 k개의 가까운 위치기반 데이터를 찾는 mkNN(multi-type k nearest neighbor) 질의 처리기법을 제안하였다. 특히, 다양한 타입의 위치기반 데이터들을 각 타입별로 독립된 R-tree로 유지하지 않고, 하나의 $R^m$-tree로 통합하여 관리함으로써 mkNN 질의 처리시 같은 레벨의 공간의 반복탐색을 줄일 수 있도록 고안하였다. 그리고 각 타입 t에 대한 위치데이터를 관리하는 부가적인 타입정보 자료구조로서 위치정보를 담은 TMBR, 데이터 개수정보를 담은 $I_t$-entry를 새로이 고안하여 mkNN질의 처리시 효율적인 휠터링(filtering)과 검색과정이 이루어지도록 하였다.

전압 안전도를 고려한 온라인 상정사고 선택법 (On-Line Contingency Selection Method Considering Voltage Security)

  • 송길영;김영한;이기탁
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1987년도 정기총회 및 창립40주년기념 학술대회 학회본부
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    • pp.122-124
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    • 1987
  • This paper presents a new algorithm in formulating a performance index for contingency selection method considering voltage security. Security limits defined-in terms of real power line flows and voltage magnitudes are considered in normalized subspaces where in critical contingencies are identified by a filtering algorithm using the infinite norm. Two types of limits, warning limit and emergency limit, are introduced for voltage and line flow. Usually performance indices have been constructed for real power line flows and voltages with each different criterion. This paper, however, presents a method that constructs them with the same criterion in use of the norm properties, so that we can assess security considering both of them. Rapid contingency simulation is performed using one iteration of fast decoupled load flows with LMML(Inverse Matrix Modification Lemma).

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Derivation of Zeros from Externally-loaded Feed-forward Element of Filter Network

  • Um, Keehong;Yoo, Sooyeup;Pinthong, Chairat
    • International Journal of Internet, Broadcasting and Communication
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    • 제6권1호
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    • pp.9-12
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    • 2014
  • We present a mathematical method for calculation of transmission zero locations, determining a filtering characteristics of two-port systems. By adjusting element values based on the zero locations, the frequency-selectivity is characterized. The characteristic polynomial of ladder networks in externally-loaded feed-forward systems is considered by adopting chain matrices for subsystems. This method can be extended to other types of lumped systems with cross-coupled sections. We find out the zeros by solving characteristics polynomials of closed-form expressions in terms of Laplace impedances of elements. The pairs of complex zeros are shown to be solely from the cross-coupled portion of the system.

Radial Basis Function Neural Networks (RBFNN) and p-q Power Theory Based Harmonic Identification in Converter Waveforms

  • Almaita, Eyad K.;Asumadu, Johnson A.
    • Journal of Power Electronics
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    • 제11권6호
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    • pp.922-930
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    • 2011
  • In this paper, two radial basis function neural networks (RBFNNs) are used to dynamically identify harmonics content in converter waveforms based on the p-q (real power-imaginary power) theory. The converter waveforms are analyzed and the types of harmonic content are identified over a wide operating range. Constant power and sinusoidal current compensation strategies are investigated in this paper. The RBFNN filtering training algorithm is based on a systematic and computationally efficient training method called the hybrid learning method. In this new methodology, the RBFNN is combined with the p-q theory to extract the harmonics content in converter waveforms. The small size and the robustness of the resulting network models reflect the effectiveness of the algorithm. The analysis is verified using MATLAB simulations.