• 제목/요약/키워드: 국부적

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An Experimental Study on the Combustion Efficiency Concept in Compartment Fires (구획화재에서 연소효율 개념에 대한 실험적 고찰)

  • Hwang, Cheol-Hong;Park, Chung-Hwa;Ko, Gwon-Hyun;Park, Suel-Hyun;Kim, Jong-Hyun
    • Proceedings of the Korea Institute of Fire Science and Engineering Conference
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    • 2010.10a
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    • pp.257-260
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    • 2010
  • 실제 규모 ISO 9705 표준 화재실에서 액체연료를 대상으로 연소효율 개념에 관한 실험적 연구가 수행되었다. 특히 구획 외부에서 측정되는 총괄연소효율과 구획 내부의 고온 상층부에서 측정된 국부연소효율 개념을 비교 검토하였다. 주요 결과로서, 총괄연소효율은 총괄당량비 증가에 따라 비교적 선형적인 감소경향을 보였다. 반면에 국부연소효율은 총괄당량비가 증가함에 따라 2차 곡선의 형태로 크게 감소됨을 확인하였다. 위 결과를 통해 국부연소 효율에 대한 정보는 구획 내부의 화재현상을 이해하는데 유용한 변수임을 알 수 있었다. 또한 국부연소효율은 구획화재의 상사과정에서 중요한 변수로 사용될 수 있음을 논의하였다.

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Convergence of Nonlocal Integral Operator in Peridynamics (비국부 적분 연산기로 표현되는 페리다이나믹 방정식의 수렴성)

  • Jo, Gwanghyun;Ha, Youn Doh
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.34 no.3
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    • pp.151-157
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    • 2021
  • This paper is devoted to a convergence study of the nonlocal integral operator in peridynamics. The implicit formulation can be an efficient approach to obtain the static/quasi-static solution of crack propagation problems. Implicit methods require constly large-matrix operations. Therefore, convergence is important for improving computational efficiency. When the radial influence function is utilized in the nonlocal integral equation, the fractional Laplacian integral equation is obtained. It has been mathematically proved that the condition number of the system matrix is affected by the order of the radial influence function and nonlocal horizon size. We formulate the static crack problem with peridynamics and utilize Newton-Raphson methods with a preconditioned conjugate gradient scheme to solve this nonlinear stationary system. The convergence behavior and the computational time for solving the implicit algebraic system have been studied with respect to the order of the radial influence function and nonlocal horizon size.

Local Dehazing Method using a Haziness Degree Evaluator (흐릿함 농도 평가기를 이용한 국부적 안개 제거 방법)

  • Lee, Seungmin;Kang, Bongsoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.10
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    • pp.1477-1482
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    • 2022
  • Haze is a local weather phenomenon in which very small droplets float in the atmosphere, and the amount and characteristics of haze may vary depending on the region. In particular, these haze reduce visibility, which can cause air traffic interference and vehicle traffic accidents, and degrade the quality of security CCTVs and so on. Therefore, in the past 10 years, research on haze removal has been actively conducted to reduce damage caused by haze. In this study, local haze removal is performed by weight generation using a haziness degree evaluator to adaptively respond to haze-free, homogeneous haze, and non-homogeneous haze cases. And the proposed method improves the limitations of the existing static haze removal method, which assumes that there is haze in the input image and removes the haze. We also demonstrate the superiority of the proposed method through quantitative and qualitative performance evaluations with benchmark algorithms.

An Adaptive Image Restoration Algorithm Using Local Constraints (공간 제약 정보를 이용한 적응 영상 복원 기법)

  • 송원선;김지희;홍민철
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2001.11b
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    • pp.139-142
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    • 2001
  • 본 논문에서는 공간 영역의 제약 정보를 이용한 적응 영상 복원 방식을 제안한다. 공간 영역의 제약 정보로는 국부 정보의 평균, 분산 및 최대 값을 이용하였다 반복 기법을 이용하여 매 반복 해에서 얻어진 복원 영상으로부터 상기 제약 정보를 설정하게 되고, 위의 제약 정보는 임의의 입력 값에 의해 정의되는 매개 변수와 더불어 복원 영상의 국부 완화 정도를 결정하게 된다. 제안된 방식을 이용하여 복원 영상을 얻기 위해 비적응 복원 방식보다 빠른 수렴 속도를 갖게 됨을 알 수 있었다. 또한, 국부적으로 제어된 완화 정도를 지닌 복원 영상을 얻을 수 있었다.

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An Adaptive Noise Detection and Modified Gaussian Noise Removal Using Local Statistics for Impulse Noise Image (국부 통계 특성을 이용한 임펄스 노이즈 영상의 적응적 노이즈 검출 및 변형된 형태의 Gaussian 노이즈 제거 기법)

  • Nguyen, Tuan-Anh;Song, Won-Seon;Hong, Min-Cheol
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2009.11a
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    • pp.179-181
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    • 2009
  • In this paper, we propose an adaptive noise detection and modified Gaussian removal algorithm using local statistics for impulse noise. In order to determine constraints for noise detection, the local mean, variance, and maximum values are used. In addition, a modified Gaussian filter that integrates the tuning parameter to remove the detected noises. Experimental results show that our method is significantly better than a number of existing techniques in terms of image restoration and noise detection.

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THE CAUSTICS AROUND A LOCAL DENSITY PERTURBED REGION IN REDSHIFT SPACE AND THEIR IMPLICATIONS TO RICH CLUSTERS OF GALAXIES (적색편이 공간에서 국부 요동지역 주변의 초면과 은하단에 응용)

  • 송두종
    • Journal of Astronomy and Space Sciences
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    • v.10 no.2
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    • pp.163-188
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    • 1993
  • On the framework of Tolman spacetime model, the caustics around a local perturbed region in redshift is due to the local expansion rate induced by a local density inhomogeneity in real space. We have compared the caustics in redshift space, which are analytically obtained, with the observed redshift-distance patterns of galaxies which are belonging to Coma and Perseus clusters. For the Abell density distribution model and polytropic density profiles which are well-fitting the optical and X-ray observations, respectively, the size of caustics which is defined by "turnaround radius" of a local density perturbed region should give constraints on the sizes and masses of rich clusters and give also a clue to understand the state of hot X-ray emitting gas.

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Adaptive Non-Local Means Denoising Algorithm Using Down-Scaled Images (다운 스케일 영상을 이용한 적응적인 비국부 평균 노이즈 제거 방식)

  • Nguyen, Tuan-Anh;Kim, Dong Young;Hong, Min-Cheol
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.1
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    • pp.55-57
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    • 2015
  • This paper presents an adaptive non-local means denoising algorithm using down-scaled images. This work provides a method to reduce artifacts and information loss around context region by increasing the number of similar patches for high activity region with down-scaled images. Experimental results demonstrate that the proposed algorithm outperforms the non-local means algorithm more than 1.5 (dB).

Automatic Target Recognition by selecting similarity-transform-invariant local and global features (유사변환에 불변인 국부적 특징과 광역적 특징 선택에 의한 자동 표적인식)

  • Sun, Sun-Gu;Park, Hyun-Wook
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.39 no.4
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    • pp.370-380
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    • 2002
  • This paper proposes an ATR (Automatic Target Recognition) algorithm for identifying non-occluded and occluded military vehicles in natural FLIR (Forward Looking InfraRed) images. After segmenting a target, a radial function is defined from the target boundary to extract global shape features. Also, to extract local shape features of upper region of a target, a distance function is defined from boundary points and a line between two extreme points. From two functions and target contour, four global and four local shape features are proposed. They are much more invariant to translation, rotation and scale transform than traditional feature sets. In the experiments, we show that the proposed feature set is superior to the traditional feature sets with respect to the similarity-transform invariance and recognition performance.