• Title/Summary/Keyword: Image Distribution

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Image Analysis and DC Conductivity Measurement for the Evaluation of Carbon Nanotube Distribution in Cement Matrix

  • Nam, I.W.;Lee, H.K.
    • International Journal of Concrete Structures and Materials
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    • v.9 no.4
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    • pp.427-438
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    • 2015
  • The present work proposes a new image analysis method for the evaluation of the multi-walled carbon nanotube (MWNT) distribution in a cement matrix. In this method, white cement was used instead of ordinary Portland cement with MWNT in an effort to differentiate MWNT from the cement matrix. In addition, MWNT-embedded cement composites were fabricated under different flows of fresh composite mixtures, incorporating a constant MWNT content (0.6 wt%) to verify correlation between the MWNT distribution and flow. The image analysis demonstrated that the MWNT distribution was significantly enhanced in the composites fabricated under a low flow condition, and DC conductivity results revealed the dramatic increase in the conductivity of the composites fabricated under the same condition, which supported the image analysis results. The composites were also prepared under the low flow condition (114 mm < flow < 126 mm), incorporating various MWNT contents. The image analysis of the composites revealed an increase in the planar occupation ratio of MWNT, and DC conductivity results exhibited dramatic increase in the conductivity (percolation phenomena) as the MWNT content increased. The image analysis and DC conductivity results indicated that fabrication of the composites under the low flow condition was an effective way to enhance the MWNT distribution.

An Extraction Technique of Automatic Recognizing Regions on Power Distribution Facility Map by Partial Extension (부분확장에 의한 배전설비도면의 자동인식 대상영역 추출 방법)

  • Kim, Gye-Young;Lee, Bong-Jae;Cho, Seon-Ku;Woo, Hee-Gon
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.10
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    • pp.1349-1355
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    • 1999
  • A power distribution facility map is drawn on cadastral map. Besides, grid lines are added on the map for sectionalization. For automatic recognition of the map, we first extract recognizing regions. In this paper, we propose an extraction method of recognizing regions by partially extending thinned image. The proposed method is consist of three phases, binarization phase, thinning phase and partial extending phase. The first phase generate a binary image using threshold value which is obtained by histogram analysis. The binary image contains many part of recognizing regions, but not all. The second phase generate thinned image which is generated by appling thinning operator to the binary image. And the third phase extends thinned image from terminal point until satisfying termination condition. The proposed method is tested on several power distribution facility maps, and the results are presented.

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A Study on Free Surface Effect of 2-D Airfoils (2차원 익형의 자유수면 효과에 관한 연구)

  • Park, Il-Ryong;Jeon, Ho-Hwan
    • Journal of Ocean Engineering and Technology
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    • v.9 no.2
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    • pp.75-82
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    • 1995
  • The free surface effects on the aerodynamic performance of 2-D wings are investigated based on the potential flow approximation. The wing is represented b source and vortex distributions on the wing surface. The steady free surface effect is taken into account by source distribution on the free surface and the velocity potentials of air and water flows are obtained. Using three different techniques, namely, positive image method, inverse image method and source distribution method, numerical results are obtained for wave elevation, pressure distribution and lift coefficient with various foil sections. The wave elevation calculated by the inverse image method is shown to be very small even at higher speeds so that the free surface effect on the performance of wings is regraded negligible. However, the wave elevations by the positive image method and source distribution method are relatively high at higher speeds and accordingly the free surface effects on wings can not be neglected.

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Consideration of Image Quality of Dithered Picture by Constrained Average Method Using Various Probability Distribution Models

  • Sato, Mitsuhiro;Hasegawa, Madoka;Kato, Shigeo
    • Proceedings of the IEEK Conference
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    • 2002.07c
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    • pp.1495-1498
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    • 2002
  • The constrained average method is one of dither methods which combines edge emphasis and grayscale rendition to provide legibility of textual region and proper quality of continuous tone region. How-ever, image quality of continuous tone region is insufficient compared to other dither methods, such as ordered dither methods or the error diffusion method. The constrained average method uses a uniform distribution function to decide number of lit pixels related to the average intensity in a picture area. However, actual distribution of continuous tone region is closer to the Laplacian distribution or triangle distribution. In this paper, we introduce various probability distributions and the actual luminance distribution to decide the threshold value of the constrained average method in order to improve image quality of dithered image.

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New Still Edge Image Compression based on Distribution Characteristics of the Value and the Information on Edge Image (경계의 값 분포 특성과 정보를 기반한 새로운 경계 영상 압축 기법)

  • Kim, Do Hyun;Han, Jong Woo;Kim, Yoon
    • Journal of Korea Multimedia Society
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    • v.19 no.6
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    • pp.990-1002
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    • 2016
  • In this paper, we propose a new compression method for the edge image by analyzing the characteristics and the distribution of pixel values of the edge image. The pixel values of the edge image have the Gaussian distribution around '0', and most of the pixel values are `0`. By these analyses we suggest the Zero-Based codec that expresses all values in a CU by a single bit flag. Also, in order to reduce the computational complexity of the proposed codec, the block partition and the intra-prediction techniques are proposed by using edge information like the number of each edge direction, the distribution and the amplitude of a major edge direction in the CU. Experimental results show that the proposed codec leads to a slighter distortion in Y domain than that of HEVC, but has far faster processing speed up to 53 times while it maintains the similar image quality compared to HEVC.

An Activation plan of Korea Kimchi distribution Industry in the Chinese Kimchi Market

  • Kim, Soonja;Bae, Kihyung;Lee, Jaeeun
    • Journal of Distribution Science
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    • v.16 no.8
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    • pp.51-61
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    • 2018
  • Purpose - To active the Korea kimchi distribution, this study aims to investigate the effect of Korea national image and kimchi image on kimchi purchase intention. this study suggest the strategies for kimchi export to China by examining how the Chinese perceptions of Korean kimchi. Research design, data, and methodology - For this study, empirical analysis was conducted based on survey results. A questionnaire was distributed to a total of 400 Chinese consumers. Of these, 280 were collected and 278 were used for statistical processing, excluding 2 that were found to be unsuitable for analysis. This study was performed by the regression analysis using the spss24 statistical program. Results - As a results, It was not significant that the Chinese consumers' familiarity on the Korea image will have a positive effect on their kimchi purchase intention. On the other hand, the kimchi/Korean food image of Chinese consumers' will increase their kimchi consumption experience. Conclusions - The Chinese consumers' positive image on kimchi/Korean food in terms of the unique characteristics of kimchi, health aspects and preference of kimchi is positively influenced when they have higher image on Korea related to its national characteristics, and that of the higher image for Korea has a positive effect on kimchi purchase intention.

Distribution of a Soft Drink Brand Communication on Brand Image with e-WOM as a Mediating Role on Indonesians Gen Z

  • SHIDDIQI, Muhammad fajar;LI, Sin;SUHARI, Umaidi;HIDAYAT, Zinggara;MANI, La
    • Journal of Distribution Science
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    • v.21 no.1
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    • pp.85-93
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    • 2023
  • Purpose: This research is intended to analyze how distribution of brand communication of a Soft Drink brand on brand image mediated through electronic word of mouth on packaged carbonated drink in Indonesian Gen-Z. This research also aims to find out how electronic word of mouth can have a role in creating a brand image for Indonesia Gen-Z. Research design, data and methodology: This research is using a quantitative approach with purposive sampling technique, a survey was conduct online and the number of samples being 384 responders who are spread all over Indonesia. The questionnaire construct was designed based on several variables, such as brand communication, brand image, and e-WOM. E-WOM was positioned as a mediating variable in this research. Brand Communication indicators consist of event and experience, public relation and publicity, direct marketing and personal selling. Meanwhile brand image consists of Attributes, Benefits, and Attitudes. E-WOM indicators consist of intensity, balance of opinion, and content. Results: The result of this research being (1) There is a significant influence between brand communication and brand image. (2) There is a significant influence between brand communication and electronic word-of-mouth. And (3) There is a significant influence between brand communication and brand image mediated through electronic word-of-mouth. Conclusion: The findings of this research prove that there is significant influence between brand communication, brand image and electronic word-of-mouth, this study also provide several information about how other factor affect the distribution of brand communication.

A Comparison of Classification Techniques in Hyperspectral Image (하이퍼스펙트럴 영상의 분류 기법 비교)

  • 가칠오;김대성;변영기;김용일
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2004.11a
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    • pp.251-256
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    • 2004
  • The image classification is one of the most important studies in the remote sensing. In general, the MLC(Maximum Likelihood Classification) classification that in consideration of distribution of training information is the most effective way but it produces a bad result when we apply it to actual hyperspectral image with the same classification technique. The purpose of this research is to reveal that which one is the most effective and suitable way of the classification algorithms iii the hyperspectral image classification. To confirm this matter, we apply the MLC classification algorithm which has distribution information and SAM(Spectral Angle Mapper), SFF(Spectral Feature Fitting) algorithm which use average information of the training class to both multispectral image and hyperspectral image. I conclude this result through quantitative and visual analysis using confusion matrix could confirm that SAM and SFF algorithm using of spectral pattern in vector domain is more effective way in the hyperspectral image classification than MLC which considered distribution.

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KITSAT-3 Image Browse and Distribution System (우리별 3호 영상 검색 및 분배 시스템)

  • Lee, Young-Ran;Shin, Dongseok;Kim, Tag-Gon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.1 no.2
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    • pp.37-43
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    • 1998
  • This paper presents a KITSAT-3 image catalog browse and distribution system. The access time and easy-to-use concept of the system should be highlighted in order for satellite image users to browse and order the required images as quickly and easily as possible. In general, users want to enter their image search conditions in the simplest ways and to display the search results which can be interpreted intuitively. The KITSAT-3 image catalog browse and distribution system was developed to satisfy the users' requirements with the minimum system installation cost.

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A Study on the Delayed Factors in Evacuation Behavior in the Case of Fire Accidents in Highway Tunnels (고속도로 터널 내 화재사고 발생 시 대피행동 지연 요인에 관한 연구)

  • Jae-Hwan, Cho
    • Journal of the Korea Safety Management & Science
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    • v.24 no.4
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    • pp.143-148
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    • 2022
  • This paper attempted to analyze the correlation between the risk image of the evacuees in the tunnel and the variables that affect the evacuation behavior due to the closed feeling. As to whether there is a difference in the level of recognizing the tunnel risk image according to the distribution of jobs, the null hypothesis was rejected at the significance probability of 0.002, so it can be said that the level of recognition of the tunnel risk image varies depending on the job group. In the distribution difference between gender and tunnel risk image recognition level, the significance probability was 0.012, indicating that the null hypothesis was rejected, indicating that the tunnel risk recognition distribution according to gender was different. As a result of analyzing the distribution difference between the tunnel's closed feeling and the tunnel risk perception level, the significance probability was 0.001, and the null hypothesis was rejected, indicating that there was a difference in the tunnel risk image level.