• Title/Summary/Keyword: Local Region

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역사적 지역 정체성의 지역민 소외 아이러니에 관한 이론적 고찰 (A theoretical study on the irony of alienation of local people by historical local identity)

  • 이동현;설혜림;이지훈;김영재
    • 건축역사연구
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    • 제31권2호
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    • pp.7-18
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    • 2022
  • This study discusses various conflict situations and unexpressed pathological potential in historical regions. In this regard, the issue of alienation of local people due to local identity was raised and the cause was investigated. It explains the structural origins of local alienation that occurred in the process of objectifying a region and forming its identity. The process of alienation of local residents of local identity identified in this paper was divided and explained in three stages: objectification of the region, symbolization of local identity, and religious materialism of local identity. In addition, in the process, the incorporation of the production mode of intellectual work, the separation of producers, and the loss of the subject-centered control ability over these products were pointed out as problematic situations. The study suggests to change the perception of the region and to restore the control of the local people through narrative in relation to this problematic situation. Thus, this thesis asserts that we need to have doubts about the justification for the public good and the basis of the resulting consensus, and that we should be constantly interested in the pathological signs of society around us.

Color Correction Using Chromaticity of Highlight Region in Multi-Scaled Retinex

  • Jang, In-Su;Park, Kee-Hyon;Ha, Yeong-Ho
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2009년도 IWAIT
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    • pp.59-62
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    • 2009
  • In general, as a dynamic range of digital still camera is narrower than a real scene‘s, it is hard to represent the shadow region of scene. Thus, multi-scaled retinex algorithm is used to improve detail and local contrast of the shadow region in an image by dividing the image by its local average images through Gaussian filtering. However, if the chromatic distribution of the original image is not uniform and dominated by a certain chromaticity, the chromaticity of the local average image depends on the dominant chromaticity of original image, thereby the colors of the resulting image are shifted to a complement color to the dominant chromaticity. In this paper, a modified multi-scaled retinex method to reduce the influence of the dominant chromaticity is proposed. In multi-scaled retinex process, the local average images obtained by Gaussian filtering are divided by the average chromaticity values of the original image in order to reduce the influence of dominant chromaticity. Next, the chromaticity of illuminant is estimated in highlight region and the local average images are corrected by the estimated chromaticity of illuminant. In experiment, results show that the proposed method improved the local contrast and detail without color distortion.

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평면 추출셀과 반복적 랜덤하프변환을 이용한 다중 평면영역 분할 방법 (A Method to Detect Multiple Plane Areas by using the Iterative Randomized Hough Transform(IRHT) and the Plane Detection)

  • 임성조;김대광;강동중
    • 전기학회논문지
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    • 제57권11호
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    • pp.2086-2094
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    • 2008
  • Finding a planar surface on 3D space is very important for efficient and safe operation of a mobile robot. In this paper, we propose a method using a plane detection cell (PDC) and iterative randomized Hough transform (IRHT) for finding the planar region from a 3D range image. First, the local planar region is detected by a PDC from the target area of the range image. Each plane is then segmented by analyzing the accumulated peaks from voting the local direction and position information of the local PDC in Hough space to reduce effect of noises and outliers and improve the efficiency of the HT. When segmenting each plane region, the IRHT repeatedly decreases the size of the planar region used for voting in the Hough parameter space in order to reduce the effect of noise and solve the local maxima problem in the parameter space. In general, range images have many planes of different normal directions. Hence, we first detected the largest plane region and then the remained region is again processed. Through this procedure, we can segment all planar regions of interest in the range image.

자동 얼굴인식을 위한 얼굴 지역 영역 기반 다중 심층 합성곱 신경망 시스템 (Facial Local Region Based Deep Convolutional Neural Networks for Automated Face Recognition)

  • 김경태;최재영
    • 한국융합학회논문지
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    • 제9권4호
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    • pp.47-55
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    • 2018
  • 본 논문에서는 얼굴인식 성능 향상을 위해 얼굴 지역 영역 영상들로 학습된 다중개의 심층 합성곱 신경망(Deep Convolutional Neural Network)으로부터 추출된 심층 지역 특징들(Deep local features)을 가중치를 부여하여 결합하는 방법을 제안한다. 제안 방법에서는 지역 영역 집합으로 학습된 다중개의 심층 합성곱 신경망으로부터 추출된 심층 지역 특징들과 해당 지역 영역의 중요도를 나타내는 가중치들을 결합한 특징표현인 '가중치 결합 심층 지역 특징'을 형성한다. 일반화 얼굴인식 성능을 극대화하기 위해, 검증 데이터 집합(validation set)을 사용하여 지역 영역에 해당하는 가중치들을 계산하고 가중치 집합(weight set)을 형성한다. 가중치 결합 심층 지역 특징은 조인트 베이시안(Joint Bayesian) 유사도 학습방법과 최근접 이웃 분류기(Nearest Neighbor classifier)에 적용되어 테스트 얼굴영상의 신원(identity)을 분류하는데 활용된다. 제안 방법은 얼굴영상의 자세, 표정, 조명 변화에 강인하고 기존 최신 방법들과 비교하여 얼굴인식 성능을 향상시킬 수 있음이 체계적인 실험을 통해 검증되었다.

디지털 노마드 시대의 청년로컬창업에 대한 근거이론 분석 (Grounded Theory Analysis of Youth Local Entrepreneurship in the Digital Nomad Era)

  • 조재희;박상혁
    • 디지털산업정보학회논문지
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    • 제20권1호
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    • pp.149-160
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    • 2024
  • This paper was conducted to improve understanding of how the start-up process affects the local community and how young entrepreneurs build and grow their businesses in the process through analysis of young people who started businesses in the region. The research method was conducted through in-depth interviews with 10 young entrepreneurs who started businesses in the western Gyeongsangnam-do region, where population decline is prominent, and the collected data was analyzed through a grounded theory approach to derive common and meaningful themes between each case. proceeded. As a result of the study, insights were derived about the background of entrepreneurs settling in the region, the motivation for starting a business using local resources, the impact of government and local government support, business strategies for sustainable growth, and the entrepreneurs' personal performance. Through this analysis, we hope to provide important insights into the positive impact local entrepreneurship has on the community and how young entrepreneurs contribute to local development.

LTNE 모델을 이용한 다공성 채널 입구영역에서의 열전달 특성 해석 (Analysis of Heat Transfer Characteristics in the Thermally Developing Region of a Porous Channel by LTNE Model)

  • 이상태;이관수;김서영
    • 대한기계학회논문집B
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    • 제26권7호
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    • pp.983-990
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    • 2002
  • A numerical analysis has been carried out on forced convection heat transfer in the developing region of a porous channel. The channel is filled with an isotropic porous medium. At the channel walls, a uniform heat flux is given. Comprehensive numerical solutions are acquired to the Brinkman-Forchheimer extended Darcy equation and the LTNE model which does not employ the assumption of local thermal equilibrium between solid and fluid phases. Details of thermal fields in the developing region are examined over wide ranges of the thermal parameters. The numerical solutions at the fully developed region are compared with the previous analytical solutions. The correlation for predicting local Nusselt number in a porous channel is proposed.

적색도와 국소적 특성을 이용한 적목 영역의 검출 (Detection of Red Eye Region Using Redness and Local Characteristics)

  • 김태우;유현중;조태경
    • 한국산학기술학회논문지
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    • 제8권5호
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    • pp.1098-1103
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    • 2007
  • 본 논문에서는 칼라 영상에서 적목(red eye)의 자동 검출 및 제거 방법을 제안한다. 제안한 방법은 적색도(redness)와 기하학적 특징에 기반하여 초기 적목 영역을 검출하고, 초기 적목 영역 주위의 국소적 특성을 반영하여 최종 적목 영역을 검출한다. 최종 적목 영역에 대해 소프트 제거에 기반한 방법을 사용하여 적목을 제거한다. 실험에서 제안한 방법은 Willamowski와 Csurka[1]의 방법에 비해 적목 영역의 검출과 제거 결과가 개선되었다.

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2D 영상의 효과적인 부분 정합 시스템과 영역기반 영상 표현 (An Efficient Partial Matching System and Region-based Representation for 2D Images)

  • 김선종
    • 제어로봇시스템학회논문지
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    • 제13권9호
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    • pp.868-874
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    • 2007
  • This paper proposes an efficient partial matching system and representation by using a region-based method for 2D image, and we applied to an extraction of the ROI(Region of Interest) according to its matching score. The matching templates consist of the global pattern and the local one. The global pattern can make it by using region-based relation between center region and its rest regions in an object. And, the local pattern can be obtained appling to the same method as global, except relation between objects. As the templates can be normalized, we use this templates for extraction of ROI with invariant to size and position. And, our system operates only one try to match, due to normalizing of region size. To use our system for searching and examining if it's the ROI by evaluating the matching function, at first, we are searching to find candidate regions with the global template. Then, we try to find the ROI among the candidates, and it works this time by using the local template. We experimented to the binary and the color image respectively, they showed that the proposed system can be used efficiently for representing of the template and the useful applications, such as partially retrievals of 2D image.

객체분할을 위한 국부적 워터쉐드와 영역병합 알고리즘 (Local Watershed and Region Merging Algorithm for Object Segmentation)

  • 유홍연;홍성훈
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2006년도 하계종합학술대회
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    • pp.299-300
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    • 2006
  • In this paper, we propose a segmentation algorithm which combines the ideas from local watershed transforms and the region merging algorithm based hierarchical queue. Only the process of watershed and region merging algorithm can be restricted area. A fast region merging approach is proposed to extract the video object from the regions of watershed segmentation. Results show the effectiveness and convenience of the approach.

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메모리가 제한적인 자바가상기계에서의 지역 재사용 (Reusing Local Regions in Memory-limited Java Virtual Machines)

  • 김태인;김성건;한환수
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제34권6호
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    • pp.562-571
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    • 2007
  • 많은 연구들을 통해 수행 속력, 효율성, 용이성, 안전성을 위하여 메모리 관리 기법들을 개선시켰다. 그러한 방법들 중에서 지역별 메모리 관리 기법은 각각의 객체 할당 위치에서 따라 정해진 지역에 할당 시키고 그 지역이 제거된다면 그 곳에 할당된 모든 객체의 메모리를 반환하는 방법이다. 본 논문에서는 메모리 제약적인 환경에서 힙 메모리 사용량을 줄이기 위해 로컬 지역을 재사용하는 방법을 제시한다. 기본 아이디어는 현재 함수가 수행될 동안 사용하지 않는 상위 로컬 지역을 재사용하는 것이다. 이러한 방법을 사용함으로써 메모리 제약적인 환경에서 메모리의 한계를 극복할 수 있을 것이다.