• Title/Summary/Keyword: 방향가중치

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A Study on Direction of Arrival Algorithm using Optimum Weight and Steering Direction Vector of MUSIC Algorithm (MUSIC알고리즘의 지향 방향벡터와 최적 가중치를 이용한 도래방향 추정 알고리즘 연구)

  • Lee, Kwan-Hyeong;Song, Woo-Young;Lee, Myeong-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.4
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    • pp.147-152
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    • 2012
  • This paper estimates the direction of arrival of desired a target using propagation wave in spatial. Direction of arrival estimation is to find desired target position among received signal to receiver array antennas. In this paper, we estimated direction of arrival for target, by using cost function and high resolution MUSIC algorithm, in order to direction of arrival estimation, and calculated optimum weight vector. Through simulation, in regard to the estimation of the arrival direction of a target, the performances of the existing ESPRIT algorithm and the proposed algorithm were comparatively analyzed. In the estimation time of the arrival direction of a target object, the proposed algorithm showed an improvement of approximately as compared to the existing ESPRIT algorithm.

Image Interpolation using directional edge weight (방향성 에지 윤곽선 가중치를 이용한 영상 보간)

  • Lee, Ou-Seb;Kim, Hyeong-Kyo
    • Journal of the Institute of Convergence Signal Processing
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    • v.11 no.1
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    • pp.26-31
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    • 2010
  • We proposed a new directional edge based interpolation, DEBI, by combining two weighted directional information to reduce blurred edges and annoying artifacts. Four isotropic gradient masks are employed in defining edge directions and they are proven to hold a first order derivative relation with respect to a rotating coordinate. Two minimum gradients among four absolute directional results are shown to be sufficient to describe slant edges efficiently. Compared with widely used bilinear and bicubic interpolation methods, the proposed algorithm results in a noticeable improvement along edge area.

Applicability of Existing Formulae for Composite Roughness (기존 복합 조도계수 산정식의 적용성)

  • Kim, Ji-Sung;Lee, Chan-Joo;Kim, Keuk-Soo;Kim, Won
    • Proceedings of the Korea Water Resources Association Conference
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    • 2010.05a
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    • pp.1084-1088
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    • 2010
  • 일반적으로 자연하천에서는 횡방향 흐름저항 요소가 매우 다를 수 있다. 이러한 하천은 흐름저항 요인에 따라 몇 개의 소단면으로 구분될 수 있으며, 1차원 해석을 위해서는 단면 전체를 대표하는 복합 조도계수(composite roughness coefficient)를 사용함으로써 수위 또는 평균유속의 계산이 가능해 진다. 복합 조도계수는 각 소단면의 면적(A), 윤변(P), 또는 동수반경(R)을 적절히 조합하여 각 소단면의 조도계수에 가중치를 부여하면서 계산되는데, 각 산정식들의 개발과정에 도입된 가정 조건에 따라 상이한 가중치를 부여하게 되며, 일부 산정식들에서는 횡방향으로 동일한 재료로 구성된 조건에서도 복합 조도계수 산정 결과는 하상재료에 의한 조도계수와 다른 값을 산정하게 된다. 본 연구에서는 13개의 기존 복합 조도계수 산정식을 이론적으로 검토하였고, 소규모 실내 수리실험자료로부터 실측 복합 조도계수와 계산된 값을 비교 분석하였으며, 소단면 분할방법에 의한 기존 산정식의 적용성을 분석하였다. 분석결과, 윤변을 가중치로 사용하는 경우는 실측 복합 조도계수 그리고 각 산정식에 의한 계산 복합 조도계수의 차이가 비교적 작게 나타났으나 각 산정식의 가정조건에 유의하여야 하는 것으로 나타났다. 한편 단면적 또는 윤변과 동수반경을 조합하여 가중치로 사용하는 경우는 방법별로 큰 차이를 보이는 것으로 분석되었고, 그 원인은 단면분할 방법에 기인하므로 이러한 방법을 적용할 경우에는 소단면 분할방법에 특히 주의하여야 함을 알 수 있다.

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Low Complexity Hybrid Interpolation Algorithm using Weighted Edge Detector (가중치 윤곽선 검출기를 이용한 저 복잡도 하이브리드 보간 알고리듬)

  • Kwon, Hyeok-Jin;Jeon, Gwang-Gil;Jeong, Je-Chang
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.3C
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    • pp.241-248
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    • 2007
  • In predictive image coding, a LS (Least Squares)-based adaptive predictor is an efficient method to improve image edge predictions. This paper proposes a hybrid interpolation with weighted edge detector. A hybrid approach of switching between bilinear interpolation and EDI (Edge-Directed Interpolation) is proposed in order to reduce the overall computational complexity The objective and subjective quality is also similar to the bilinear interpolation and EDI. Experimental results demonstrate that this hybrid interpolation method that utilizes a weighted edge detector can achieve reduction in complexity with minimal degradation in the interpolation results.

A Study on Off-Line Signature Verification using Directional Density Function and Weighted Fuzzy Classifier (가중치 퍼지분류기와 방향성 밀도함수를 이용한 오프라인 서명 검증에 관한 연구)

  • 한수환;이종극
    • Journal of Korea Multimedia Society
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    • v.3 no.6
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    • pp.592-603
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    • 2000
  • This paper is concerning off-line signature verification using a density function which is obtained by convolving the signature image with twelve-directional $5\times{5}$ gradient masks and the weighted fuzzy mean classifier. The twelve-directional density function based on Nevatia-Babu template gradient is related to the overall shape of a signature image and thus, utilized as a feature set. The weighted fuzzy mean classifier with the reference feature vectors extracted from only genuine signature samples is evaluated for the verification of freehand forgeries. The experimental results show that the proposed system can classify a signature whether it is genuine or forged with more than 98% overall accuracy even without any knowledge of varied freehand forgeries.

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A Study on Directionally Weighted Filter Algorithm in Impulse Noise Environments (임펄스 잡음환경에서 방향성을 고려한 가중치 필터 알고리즘에 관한 연구)

  • Long, Xu;Kim, Nam-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.7
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    • pp.1734-1739
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    • 2014
  • Currently, with the rapid development of the digital age, multimedia-related image devices become popular. However, images are susceptible to corruption in processing image data due to the impulse noise and active researches have been conducted to restore these images. This paper, in order to restore the damaged images in impulse noise environments, suggested an image restoration algorithm which applies weights depending on spatial distance between directionality and pixel by focusing on damaged pixels. Additionally, this algorithm was compared with existing methods by using the PSNR (peak signal to noise ratio) as the objective standard to judge whether there were improved effects.

A Study on Weighting for Digital Maturity Model & Indicators based on AHP Technique: Focusing on Digital Curation Maturity Model of Korea Institute of Science and Technology Information (AHP 기법 기반 디지털 큐레이션 성숙도 모델·지표 가중치 연구: 한국과학기술정보연구원 디지털 큐레이션 성숙도 모델을 중심으로)

  • Seonghun Kim;Jinho Park
    • Journal of the Korean Society for information Management
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    • v.40 no.2
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    • pp.243-262
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    • 2023
  • In the rapidly developing information technology environment, information management organizations need to effectively evaluate their digital maturity and clarify the direction of improvement to effectively respond to rapidly changing environments. This study derived weights for the digital curation maturity model developed by KISTI from the perspective of digital transformation to facilitate effective evaluation and direction setting of information management organizations. Relative importance was derived as a weight in the major and middle categories of the model through the AHP technique. Summarizing the results, when the major categories of the entire model are measured on the basis of 100 points, technology is 27 points, data is 24 points, strategy is 19 points, organization (manpower) is 16 points, and (social) influence is calculated as 14 points. In addition, weights for each subcategory were presented for each major classification based on a perfect score of 100 points. It is expected that a more objective and reasonable evaluation will be possible by applying the weights for each area derived from this study to the digital transformation maturity evaluation model.

Adaptive Interpolation for Intra Frame in H.264 using Disturbance Function (H.264 인트라 프레임에서의 방해함수를 이용한 적응적인 인터폴레이션 기법)

  • Park, Mi-Seon;Jeon, Sung-Hun;Lee, Gue-Sang
    • Proceedings of the IEEK Conference
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    • 2005.11a
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    • pp.545-548
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    • 2005
  • H.264의 인트라 프레임 에러복원기법은 상하좌우 인접한 블록의 픽셀을 사용하여 거리의 가중치 평균값으로 손실된 블록을 복원한다. H.264의 인트라 프레임 에러복원기법으로 복원된 블록은 주변블록 픽셀들의 평균을 취하기 때문에 그로 인해 생기는 블러링 현상을 피할 수 없다. 이를 개선하기 위하여 주변블록의 에지정보를 이용하여 인터폴레이션하는 방법이 제안되었으나 에지성분이 다양하거나 에지성분이 없는 경우, 블록을 복원하는 데 있어서 기존 H.264의 복원기법보다 성능이 저하되는 문제점이 있다. 본 논문에서는 주변블록의 정보를 이용하여 손실된 블록의 인터폴레이션의 에지방향을 추정하고 방해함수를 통해서 임계치를 결정하여 적응적으로 에지방향의 인터폴레이션과 가중치평균 인터폴레이션을 선택하여 복원하는 방법을 제안한다. 에지방향의 인터폴레이션에서는 선택된 전체에지방향과 상하좌우 각각의 주변블록의 에지방향들간의 상호 관계를 고려함으로써 최종적으로 최적에지 방향을 선택하여 성능을 향상시킨다. 제안된 방법은 영상에 따라 H.264 에러복원기법보다 객관적인 화질이 $0.5dB\;{\sim}\;2dB$ PSNR 향상을 보였고 주관적인 화질개선의 결과를 보였다.

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A hierarchical path finding algorithm with the technique of minimizing the number of turn (방향전환 최소화 기법을 적용한 계층 경로 탐색 알고리즘)

  • Moon, Dae-Jin;Cho, Dae-Soo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2007.06a
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    • pp.323-326
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    • 2007
  • When traveling on real road network, it generally takes less travel time in a near straight path than a zig-zaged path with same source and destination. In order to making a left(right/u) turn, the delay should be required to decrease the speed. The traffic signal waiting time of left(right/u) turn is probably longer than straight driving. In this paper, we revise the previous hierarchical path finding algorithm to reduce the number of turns. The algorithm proposed in this paper complied with a hierarchical $A^*$ algorithm, but has a distinct strategy for edge weight. We define an edge that makes a turn as a turn-edge and give the turn-edge lower weight to maintain the straightness of the whole path.

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