• Title/Summary/Keyword: Gradient 방법

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Comparison of Evaluation Methodologies of Atmospheric Dry Deposition Flux (대기건식침적량 평가방법의 비교)

  • 정장표;이승훈;장남익
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • 2000.11a
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    • pp.109-111
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    • 2000
  • 지금까지 대기침적량의 산정에는 크게 대기중의 오염물질 농도와 침적속도를 이용하여 추정하는 방법 (atmospheric flux methods)과 대리표면을 이용하여 건성침적량을 직접 측정하는 표면분석 방법(surface analysis methods)이 주로 이용되고 있다. 전자는 대기중 오염물질 농도를 관측ㆍ분석함으로써 eddy correlation, aerodynamic gradient methods 등의 미기상학적인 방법이 여기에 해당되며 균일하지 못한 표면이나 중력침강이 주가되는 조대입자에 대해 사용이 제한되는 단점이 있다. 이에 반해 대체표면을 사용하는 방법은 일반적으로 시료채취 및 분석과정에 있어서 통제가 용이하기 때문에 현재 광범위하게 널리 사용되고 있다. (중략)

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The Faulty Detection of COG Using Image Subtraction (이미지 정합을 이용한 COG 불량 검출)

  • Joo, Ki-See
    • Proceedings of KOSOMES biannual meeting
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    • 2005.11a
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    • pp.203-208
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    • 2005
  • The CGO (Chip on Glass) to be measured a few micro unit is captured by line scan camera for the accuracy of chip inspection. But it is very sensitive to scan speed and lighting conditions. In this paper, we propose the methods to increase the accuracy of faulty detection by image subtraction. Image subtraction is detected faultiness by subtracting the image of a ' perfect ' COG from trot of the sample under tests. For image subtraction to be successful, the two images must be pre챠sely registered The two images is registered by the area segmentation pattern matching, and the result image get by operating the gradient mask image and the image to practice subtraction. A series of experimentation showed that the proposed algorithm shows substantial improvement over the other image subtraction methods.

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Gradient On-Off Beamforming Algorithm Based On Eigen-Space Method For a Smart Antenna In IS-2000 1X Signal Environment (IS-2000 1X 신호 환경하에서의 고유공간 방법에 근간한 그래디언트 온-오프 빔평성 알고리즘)

  • 이정자;이원철;최승원
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.10C
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    • pp.949-957
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    • 2003
  • This paper presents a gradient ON-OFF algorithm of which the performance is very robust even when the angle spread increases in the mobile communication environments. The proposed method getting the diversity gain by utilizing the primary and secondary eigenvector, which corresponds to the largest and the second largest eigenvalue of the autocovariance matrix of the received signal vector, outperforms the method which just utilizes one eigenvector. By applying the proposed method to IS-2000 1X signal environments, it is observed that the proposed method shows excellent performance compared to a typical beamforming method using just one eigenvector, which considerably degrades the receiving performance as the angle spread increases.

Color Object Segmentation using Distance Regularized Level Set (거리정규화 레벨셋을 이용한 칼라객체분할)

  • Anh, Nguyen Tran Lan;Lee, Guee-Sang
    • Journal of Internet Computing and Services
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    • v.13 no.4
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    • pp.53-62
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    • 2012
  • Object segmentation is a demanding research area and not a trivial problem of image processing and computer vision. Tremendous segmentation algorithms were addressed on gray-scale (or biomedical) images that rely on numerous image features as well as their strategies. These works in practice cannot apply to natural color images because of their negative effects to color values due to the use of gray-scale gradient information. In this paper, we proposed a new approach for color object segmentation by modifying a geometric active contour model named distance regularized level set evolution (DRLSE). Its speed function will be designed to exploit as much as possible color gradient information of images. Finally, we provide experiments to show performance of our method with respect to its accuracy and time efficiency using various color images.

A Study on Image restoration Algorithm using LOG function character (LOG함수의 특성을 이용한 영상잡음제거(1))

  • Kwon, Kee-Hong
    • Journal of the Korea Computer Industry Society
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    • v.6 no.3
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    • pp.447-456
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    • 2005
  • This paper describes iterative restoration method of restoring blurred images using the LOG compansion function and Conjugate Gradient method. Conventional restoration methods results satisfy the requirement performance for restoring blurred images. but iteration number and convergence velocity increase. This paper proposed an opmtimised iteration restoration method for the images degraded by blurring effect, using the LOG compansion function and Conjugate Gradient method. Here, the LOG compansion function used to improve local properties of the image being restored, made the visual character and convergence velocity of the restored image improved. Throught the simulation results, the author showed that proposed algorithm produced superior performance results by conventional methods.

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Application of Methodology for Microbial Community Analysis to Gas-Phase Biofilters (폐가스 처리용 바이오필터에 미생물 군집 분석 기법의 적용)

  • Lee, Eun-Hee;Park, Hyunjung;Jo, Yun-Seong;Ryu, Hee Wook;Cho, Kyung-Suk
    • Korean Chemical Engineering Research
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    • v.48 no.2
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    • pp.147-156
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    • 2010
  • There are four key factors for gas-phase biofilters; biocatalysts(microorganisms), packing materials, design/operating techniques, and diagnosis/management techniques. Biofilter performance is significantly affected by microbial community structures as well as loading conditions. The microbial studies on biofilters are mostly performed on basis of culture-dependent methods. Recently, advanced methods have been proposed to characterize the microbial community structure in environmental samples. In this study, the physiological, biochemical and molecular methods for profiling microbial communities are reviewed, and their applicability to biofilters is discussed. Community-level physiological profile is based on the utilization capability of carbon substrate by heterotrophic community in environmental samples. Phospholipid fatty acid analysis method is based on the variability of fatty acids present in cell membranes of different microorganisms. Molecular methods using DNA directly extracted from environmental samples can be divided into "partial community DNA analysis" and "whole community DNA analysis" approaches. The former approaches consist in the analysis of PCR-amplified sequence, the genes of ribosomal operon are the most commonly used sequences. These methods include PCR fragment cloning and genetic fingerprinting such as denaturing gradient gel electrophoresis, terminal-restriction fragment length polymorphism, ribosomal intergenic spacer analysis, and random amplified polymorphic DNA. The whole community DNA analysis methods are total genomic cross-DNA hybridization, thermal denaturation and reassociation of whole extracted DNA and extracted whole DNA fractionation using density gradient.

A Complementary Quadtree in Consideration for Gradient of Homogeneous Regions (동질 영역의 기울기를 고려한 상보 쿼드트리)

  • Kim, Sin-Jin;Lee, Jong-Yeop;Kim, Yeong-Mo;Go, Gwang-Sik
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.39 no.3
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    • pp.36-41
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    • 2002
  • Generally, cartoon images are simple and involve a small number of colors and often include large homogeneous regions with same color or gradient. In this paper, effective compression method for complementary quadtree was suggested for cartoon images, by using those properties. And with progressive transmission, this method involves a progressive increase in the image resolution at the receiver from a lower to a higher resolution during the transmission of data. This is an effective way of using a limited transmission channel, because, after estimating the value of the data in the early transmission period, a decision can be made whether or not to proceed with the transmission of the remaining part. Since the proposed method is lossless and involves progressive transmission, it was compared with progressive PNG and progressive GIF, which had same functions.

Korean Web Content Extraction using Tag Rank Position and Gradient Boosting (태그 서열 위치와 경사 부스팅을 활용한 한국어 웹 본문 추출)

  • Mo, Jonghoon;Yu, Jae-Myung
    • Journal of KIISE
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    • v.44 no.6
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    • pp.581-586
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    • 2017
  • For automatic web scraping, unnecessary components such as menus and advertisements need to be removed from web pages and main contents should be extracted automatically. A content block tends to be located in the middle of a web page. In particular, Korean web documents rarely include metadata and have a complex design; a suitable method of content extraction is therefore needed. Existing content extraction algorithms use the textual and structural features of content blocks because processing visual features requires heavy computation for rendering and image processing. In this paper, we propose a new content extraction method using the tag positions in HTML as a quasi-visual feature. In addition, we develop a tag rank position, a type of tag position not affected by text length, and show that gradient boosting with the tag rank position is a very accurate content extraction method. The result of this paper shows that the content extraction method can be used to collect high-quality text data automatically from various web pages.

Measurement of Numerical Aperture of Graded-index Plastic Optical Fiber by Using a Variable Aperture (입사광의 크기 조절을 통한 경사굴절률 플라스틱 광섬유의 수치구경 측정기법)

  • Kim, Dae-Kyu;Kim, Bo-Ram;Lee, Byoung-Hwak;Park, Seung-Han
    • Korean Journal of Optics and Photonics
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    • v.22 no.1
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    • pp.5-9
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    • 2011
  • There are technical difficulties in measuring the numerical apertures of multi-mode gradient-index plastic optical fibers (GI-POFs) due to their strong speckle noise originating from dopants, non-uniformity of gradient-index profile, and multi-mode interference. Therefore, we propose a new method of obtaining the numerical aperture by controlling the size of the incident laser beam and measuring the numerical aperture of GI-POF. The results show that we can get a value for the numerical aperture of GI-POF very similar to that measured by the conventional method. We can also obtain the optimum launching condition of input beam and maximum coupling efficiency.