• 제목/요약/키워드: 인접중앙성

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Semantic Network Analysis of Research Trend Related to Private Security (언어 네트워크 분석(Semantic Network Analysis)을 활용한 민간경비 분야의 연구 경향)

  • Yang, Seung-Don
    • The Journal of the Korea Contents Association
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    • v.13 no.11
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    • pp.894-901
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    • 2013
  • This study is aim to research trend of private security and to suggest direction of improvement to sector of private security. This study has been to analyzed to be useful social network analysis(particularly Degree Centrality and Clossness Centrality) for using typical research method about trend of academic subject. As a result of Degree Centrality and Clossness Centrality, Individual factors such as Job Stress and Job satisfaction of private security are more keyword than institutional factors and policy factors such as Security Services Industry Act and training for Private Security guards. It means that research trend of private security are to study Individual factors rather than institutional factors and policy factors. But, this study is a limit as follows; First, An object of study is only to searching article in National Assembly Liberary. A follow-up studies are need to expand the range of an object of study for private security.

Automated Segmentation of 3-D Sagittal Brain MR Images Through Boundery Comparison (경로 재설정을 통한 3차원 시상 두뇌 자기공명영상 분할)

  • Hun, S.;Sohn, K. H.;Choe, Y. S.;Kang, M. G.;Lee, C. H.
    • Journal of Biomedical Engineering Research
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    • v.21 no.2
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    • pp.145-156
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    • 2000
  • 본 논문에서는 중앙시상 두뇌 자기공명영상 분할결과를 이용한 3차원 시상 두뇌 자기공명영상의 자동분할기법을 제안한다. 제안된 알고리즘에서는 먼저 3차원 시상 두뇌 자기공명영상의 중앙영상을 분할하고, 분할된 중앙두뇌 자기공명영상을 인접하는 영상에 마스크로 적용한다. 이 때 마스크 적용으로 인하여 인접하는 영상이 절단되는 문제가 발생할 수 있다. 이러한 문제를 해결하기 위하여 절단 영역의 경계점을 검출한 후, 절단 영역에 대한 경로 재설정을 통해 절단 영역을 복원한다. 이러한 경로 재설정을 위해 connectivity-based threshold segmentation algorithm을 사용하였다. 실험결과 제안된 알고리즘의 유용성을 확인할 수 있었다.

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A Study on the Grounding Method of Parking Areas for Electric Vehicles in Apartment Houses, Etc (공동주택 등에서 전기자동차 전용주차구역의 지상화 등에 관한 법률 및 조례안 연구)

  • ;;;Jeong, Sang
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2023.11a
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    • pp.200-201
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    • 2023
  • 전기차 보급이 늘어나면서 그만큼 화재의 발생이 늘어나고 있다. 화재 발생률로만 보면 내연기관 차량보다 더 높다고 볼 수 없다. 하지만 전기차 화재는 폭발성이 강하고 순식간에 인접한 물체에 옮겨붙으며 화재 진압이 어렵다는 특성을 보이고 있다. 전기차 화재의 위험성에도 불구하고 산업통상자원부에서는 지하 주차장 비율이 높은 환경에서 지상 주차장 설치를 강제한다면 친환경 자동차 보급에 저해가 되기 때문에 법률을 개정하는 것을 주저하고 있는 실정이다. 외국에서도 전기차는 지상주차장을 우선으로 하는 추세이다. 이에 본 연구는 공동주택 등에서 전기차 주차장을 지상에 별도로 설치하는 등 안전을 도모한 법률과 조례안을 구상하고자 한다.

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대단면 근접병설터널의 설계 및 안정성 평가기법에 관한 연구

  • 김도형;박준경;김영근;오세준;이두화
    • Proceedings of the Korean Society for Rock Mechanics Conference
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    • 2003.03a
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    • pp.51-66
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    • 2003
  • 최근 용지매입의 제한과 자연환경훼손의 최소화를 도모하는 사회적 환경으로 인해 대단면 근접병설터널 계획이 점차 증가하고 있다. 지금까지는 주로 중앙벽체부의 지지기능을 활용한 2Arch터널의 형태로 도심지 지하철의 정거장이나 고속도로의 일부구간에 계획되고 있으나, 대단면 근접병설터널에 대한 시공실적 및 설계사례가 부족한 국내에서는 이에 대한 역학적 거동과 합리적 시공방안에 대한 연구가 미흡한 실정이다. 따라서, 대단면 근접병설터널에 대한 국내·외의 설계 및 시공사례를 정리·분석하므로서 차후 제한된 구간에서의 터널계획시 합리적인 설계 및 시공이 되고자 하였다. 또한, 최근 도심지 구간에 계획중인 터널의안정성 검토 사례를 중심으로 터널 및 인접구조물, 중앙필러부 및 콘크리트 라이닝에 대한 상세 안정성 검토방법을 고찰함으로써 기존 병설터널의 거동특성과는 구별되는 대단면 근접 병설터널의 안정성 평가기법에 대한 방향을 제안하였다.

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Mapping Knowledge Structure of Science and Technology Based on University Research Domain Analysis (대학의 연구 영역 분석을 통한 과학 기술 분야의 지식 구조 매핑에 관한 연구)

  • Chung, Young-Mee;Han, Ji-Yeon
    • Journal of the Korean Society for information Management
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    • v.26 no.2
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    • pp.195-210
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    • 2009
  • This study explores knowledge structures of science and technology disciplines using a cocitation analysis of journal subject categories with the publication data of a science & technology oriented university in Korea. References cited in the articles published by the faculty of the university were analyzed to produce MDS maps and network centralities. For the whole university research domain, six clusters were created including clusters of Biology related subjects, Medicine related subjects, Chemistry plus Engineering subjects, and multidisciplinary sciences plus other subjects of multidisciplinary nature. It was found that subjects of multidisciplinary nature and Biology related subjects function as central nodes in knowledge communication network in science and technology. Same analysis procedure was applied to two natural science disciplines and another two engineering disciplines to present knowledge structures of the departmental research domains.

Industry Linkage Analysis and Link Structure Network Analysis of Water Transportation Industry (수상 운송업의 산업연관분석 및 연계구조 네트워크 분석)

  • Park, Sung-Min;Park, Chan-Kwon
    • Journal of Convergence for Information Technology
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    • v.12 no.3
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    • pp.85-107
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    • 2022
  • This study is to analyze the induced effect, network connectivity, and network visualization of the water transportation industry on the overall economy in relation to all industries. For this, various inducement coefficients of the water transportation industry are analyzed using industry linkage analysis and unit structure matrix, and network visualization analysis is performed using network connectivity and NetDraw using Ucinet 6 that utilizes unit structure matrix and inverse matrix function. As a result of the study, analysis results of input coefficient, production inducement coefficient, value-added inducement coefficient, and inter-industry chain effect were presented as various inducement coefficients in the water transportation industry. content was presented. Through this study, the current position and status of the water transportation industry and its relationship with all industries were confirmed, and the strategic relationship with which industries it should be presented was presented. In the future, it is necessary to further analyze the current status and trends of various induced effects, connectivity (centrality), and network visualization analysis using industry-related analysis published since the 2000s.

A Method for Estimating Local Intelligibility for Adaptive Digital Image Decimation (적응형 디지털 영상 축소를 위한 국부 가해성 추정 기법)

  • 곽노윤
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.4 no.4
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    • pp.391-397
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    • 2003
  • This paper is about the digital image decimation algorithm which generates a value of decimated element by an average of a target pixel value and a value of neighbor intelligible element to adaptively reflect the merits of ZOD method and FOD method on the decimated image. First, a target pixel located at the center of sliding window is selected, then the gradient amplitudes of its right neighbor pixel and its lower neighbor pixel are calculated using first order derivative operator respectively. Secondly, each gradient amplitude is divided by the summation result of two gradient amplitudes to generate each intelligible weight. Next, a value of neighbor intelligible element is obtained by adding a value of the right neighbor pixel times its intelligible weight to a value of the lower neighbor pixel times its intelligible weight. The decimated image can be acquired by applying the process repetitively to all pixels in input image which generates the value of decimated element by calculating the average of the target pixel value and the value of neighbor intelligible element.

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Usefulness of In-store Spotting Survey in Developing a Supermarket Location Analysis Model (내점객 인터뷰에 근거한 슈퍼마켓 입지분석 모델의 실용성 평가)

  • 서성무;고윤배
    • Asia Marketing Journal
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    • v.1 no.1
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    • pp.5.1-5.11
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    • 1998
  • 이 연구는 2차자료가 부족한 우리나라 슈퍼마켓 업체의 여건을 감안하여 간편하게 활용할 수 있는 입지분석 모델의 가능성을 탐구하였다. 연구모델은 두 가지 기준을 근거로 모두 네가지 모델을 설정하고 비교검토했다. 먼저 표본추출방법에 의해 내점객표본과 지역할당표본으로 분류하고, 이것을 다시 포함하는 변수의 범위에 따라 축소모델과 확장모델로 구분하였다. 공간상호작용모델의 추정에는 MNL(Multinomial Logit)방식을 이용했다. 분석결과 내점객표본으로 조사해서 얻은 응답자의 주거지와 주로 찾는 점포, 그리고 사전적으로 입수한 경쟁점포의 매장면적, 인접점포까지의 거리에 대한 자료만을 이용해서 추정한 가장 간단한 모델이 비교적 만족스러운 결과를 나타냈다.

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Characteristics of Induced Resistance to Erysiphe graminis f. sp. hordei in Near-Isogenic Barley Lines. (근 동질유전자 보리계통에서 보리흰가루 병에 대한 유도저항성의 특성)

  • Cho Baik Ho
    • Korean Journal Plant Pathology
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    • v.1 no.1
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    • pp.79-84
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    • 1985
  • Some characteristics of the resistance induced by Erysiphe graminis f. sp. hordei on near-isogenic barley leaves were evaluated. Inoculation of heat-killed incompatible inducer conidia did not protect barley leaves against compatible challenger race when the inducer inoculum was removed prior to inoculation of challenger. However, the colony formation of challenger race was greatly reduced by 87.1 to $91.2\%$ when the heat-killed inducer inoculum was not removed from the leaves. Although incompatible inducer conidia were removed before they penetrate the host cell, colony formation of challenger was markedly decreased without change in its infection type. After penetrating the host cell by inducer, however, a change in infection types occurred on the challenged leaves. Irrespective of compatibility of previously inoculated inducer on middle part of leaves, there was no reduction in colony formation of challenger race both on the adjacent acropetal and basipetal parts of the same leaves free of inducer inoculation. The colonies formed on the basipetal part by challenger race showed normal 4 type, whereas the infection type of colonies formed on the acropetal part was somewhat changed, thereby sporulation being reduced. The possibility of translocation of resistance-inducing factors was discussed.

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A Basic Study of Obstacles Extraction on the Road for the Stability of Self-driving Vehicles (자율주행 차량의 안전성을 위한 도로의 장애물 추출에 대한 기초 연구)

  • Park, Chang min
    • Journal of Platform Technology
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    • v.9 no.2
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    • pp.46-54
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    • 2021
  • Recently, interest in the safety of Self-driving has been increasing. Self-driving have been studied and developed by many universities, research centers, car companies, and companies of other industries around the world since the middle 1980s. In this study, we propose the automatic extraction method of the threatening obstacle on the Road for the Self-driving. A threatening obstacle is defined in this study as a comparatively large object at center of the image. First of all, an input image and its decreased resolution images are segmented. Segmented areas are classified as the outer or the inner area. The outer area is adjacent to boundaries of the image and the other is not. Each area is merged with its neighbors when adjacent areas are included by a same area in the decreased resolution image. The Obstacle area and Non Obstacle area are selected from the inner area and outer area respectively. Obstacle areas are the representative areas for the obstacle and are selected by using the information about the area size and location. The Obstacle area and Non Obstacle area consist of the threatening obstacle on the road. Through experiments, we expect that the proposed method will be able to reduce accidents and casualties in Self-driving.