• 제목/요약/키워드: the Building Image

검색결과 1,220건 처리시간 0.031초

Quantitative Estimation of the Precipitation utilizing the Image Signal of Weather Radar

  • Choi, Jeongho;Lim, Sanghun;Han, Myoungsun;Kim, Hyunjung;Lee, Baekyu
    • Journal of Multimedia Information System
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    • 제5권4호
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    • pp.245-256
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    • 2018
  • This study estimated rainfall information more effectively by image signals through the information system of weather radar. Based on this, we suggest the way to estimate quantitative precipitation utilizing overlapped observation area of radars. We used the overlapped observation range of ground hyetometer observation network and radar observation network which are dense in our country. We chose the southern coast where precipitation entered from seaside is quite frequent and used Sungsan radar installed in Jeju island and Gudoksan radar installed in the southern coast area. We used the rainy season data generated in 2010 as the precipitation data. As a result, we found a reflectivity bias between two radar located in different area and developed the new quantitative precipitation estimation method using the bias. Estimated radar rainfall from this method showed the apt radar rainfall estimate than the other results from conventional method at overall rainfall field.

콘크리트 균열 깊이와 이미지 특성정보간의 상관성 분석 (Correlation Analysis between Crack Depth of Concrete and Characteristics of Images)

  • 정서영;유정호
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2021년도 봄 학술논문 발표대회
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    • pp.162-163
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    • 2021
  • Currently, the depth of cracks is measured using ultrasonic detectors in maintenance practice. This method consists of measuring the depth of cracks by attaching ultrasonic depth measuring equipment to the concrete surface, and there are restrictions on the timing and location of the inspection. These limitations can be addressed through the development of image-based crack depth measurement AI technology. If crack depth measurements are made based on images, restrictions on the timing and location of inspections can be lifted because images acquired with simple filming equipment can be used as input information. To efficiently develop these artificial intelligence technologies, it is essential to identify the interrelationship between crack depth measurements and image characteristic information. Thus, this study is a basic study of the development of image-based crack depth measurement AI technology and aims to identify image characteristic information related to crack depth.

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The optimization of new alignment films in the TNLC for low image-sticking

  • Lee, Jong-Hyun;Yi, Jun-Sin;Jung, Hwan-Kyung;Lee, Seung-Guk;Nam, Hyo-Hak;Nam, Yoon-Joung;Choi, Sung-Woo
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2007년도 7th International Meeting on Information Display 제7권1호
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    • pp.513-516
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    • 2007
  • We introduce a new copolymer alignment film made by bridge-building structure. It is a better film to decrease the image-sticking level in LCD displays. It is noted that the image-sticking was decreased by preventing ion mixing between inter-layers through high hardness. We have investigated the electrical characteristics such as pretilt angle, Residual DC, VHR by changing cure temperature and process delay time conditions of the new alignment film. In this paper, we have investigated the solution for the deep-rooted image defect and incidentally got a contrast ratio improvement by high anchoring force and hardness elevation through the new copolymer alignment film.

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A Study on Object Detection in Region-of-Interest Algorithm using Adjacent Frames based Image Correction Algorithm for Interactive Building Signage

  • Lee, Jonghyeok;Choi, Jinyeong;Cha, Jaesang
    • International Journal of Internet, Broadcasting and Communication
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    • 제10권2호
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    • pp.74-78
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    • 2018
  • Recently, due to decrease hardware prices and the development of technology, analog signage has been changing to digital signage for providing content such as advertisements, videos. Furthermore, in order to provide advertisements and contents to users more effectively, technical researches are being conducted in various industries. In addition, including digital signage that uses displays, it can be seen that it provides advertisements and contents using diverse devices such as LED signage, smart pads, and smart phones. However, most digital signage is installed in one place to provide contents and provides interactivity through simple events such as manual content provision or touch. So, in this paper, we suggest a new object detection algorithm based on an adjacent frames based image correction algorithm for interactive building signage.

3D 가상도시 구축을 위한 건물 텍스쳐 이미지의 왜곡보정 (Adjustment of texture image for construction of a 3D virtual city)

  • 김성수;김병국
    • 대한공간정보학회지
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    • 제10권2호
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    • pp.49-56
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    • 2002
  • 3D 가상도시 구축에 있어 사용자로 하여금 공간 객체 중심으로 지형 지물을 인식할 수 있게 해 줄 수 있는 요소로서 Texture Image를 들 수 있다. 본 연구에서는 디지틀 카메라를 통하여 건물 측면 Texture Image를 획득하고 이렇게 획득한 이미지가 가지고 있는 왜곡을 2D Projective Transformation방법을 사용하여 보정하였다. 보정이 끝난 Texture Image는 OpenGL을 이용하여 3D 건물 모델에 Mapping을 실시하였다. 본 연구를 통해 개발한 응용 프로그램은 가상도시를 구축하는 과정상에 자동화된 방법을 제공할 수 있다.

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루버를 이용한 대형공장 내부 자 연환기유동 개선에 관한 연구 (Improvement for Natural Ventilation Flow inside a Large Factory Building Using Louver-t ype Ventilator)

  • 강종훈;이상준
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 2008년도 춘계학술대회논문집
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    • pp.705-706
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    • 2008
  • When heat generated inside a large factory building is not discharged due to a stagnant flow, the working environment of workers becomes worse and the cooling of high-temperature products such as hot-rolling coils is delayed. To investigate the natural ventilation inside a large factory building, experimental studies were carried out using wind-tunnel tests. The scale-down factory building models were placed in an atmospheric boundary layer (ABL) and the mean and fluctuating velocity fields were measured using a particle image velocimetry (PIV) technique. For the prototype factory model, the outdoor air is only entrained into the factory building through the one-third open windward wall, and stagnant flow is formed in the rear part of the target area. In order to improve the indoor ventilation environment of the factory building, three different louver-type ventilators were attached at the upper one-third open windward wall of the factory model. Among the three louver ventilators tested in this study, the ventilator model #3 with the outer louver (${\theta}_o$ = 90$^{\circ}$) and the inner louver (${\theta}_i$ = -70$^{\circ}$) was found to improve the natural ventilation inside the factory building model effectively. The flow rate of the entrained air was increased with aligning the outer louver blades with the oncoming wind and guiding the entrained air down to the ground surface with elongated inner louver blades.

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포인트 클라우드 데이터 기반 군집형 솔리드 건물 모델 자동 생성 기법 (Automatic Generation of Clustered Solid Building Models Based on Point Cloud)

  • 김한결;황윤혁;이수암
    • 대한원격탐사학회지
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    • 제36권6_1호
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    • pp.1349-1365
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    • 2020
  • 최근 스마트 시티, 디지털 트윈 등에 실제 3차원 좌표를 취득할 수 있는 이점에 따라 포인트 클라우드를 이용한 모델 생성에 관한 연구가 늘어나고 있으며, 건물 형상 및 텍스처의 수정이 용이한 솔리드 모델에 대한 요구가 늘어나고 있다. 이에 따라 본 논문에서는 포인트 클라우드 데이터를 기반으로 군집형 솔리드 건물 모델을 생성하는 방법을 제안한다. 제안하는 방법은 총 다섯단계로 구성된다. 첫 단계에서는 포인트 클라우드의 평면성 분석을 통해 지면을 제거하였다. 두 번째 단계에서는 지면이 제거된 포인트 클라우드에서 건물 영역을 추출하였다. 세 번째 단계에서는 건물의 세부 구조물 영역을 추출하였다. 네 번째 단계에서는 추출된 영역에 3차원 좌표정보가 부여된 3차원 건물 모델의 형상을 생성하였다. 마지막 단계에서는 건물 모델 형상에 텍스처를 부여하여 3차원 건물 솔리드 모델을 생성하였다. 제안하는 방법의 검증을 위하여 상용 소프트웨어를 이용해 무인항공기 영상으로부터 포인트 클라우드를 추출하여 실험하였다. 그 결과, 포인트 클라우드 내에 존재하는 일정 높이 이상의 모든 건물에 대하여 포인트 클라우드 대비 위치오차 1 m 내외의 3차원 건물 형상을 생성하고, 원본 영상 해상도 대비 2배 이내의 해상도를 갖는 텍스처링이 수행된 3차원 모델이 생성되는 것을 확인하였다.

거주와 건립에 관한 한 고찰 (A Study on Dwelling and Building)

  • 강혁
    • 건축역사연구
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    • 제11권4호
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    • pp.71-86
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    • 2002
  • Since Modern period which is characterized by the governing of technology and capitalism, the production and aesthetics of building became a main issue of architectural discourse. Morever, Modern architecture tends to be a kind of media in which the visual image of building plays a far more important role than building itself. Institutionalized discipline of Architecture in modern system set aside the dwelling aspect of building and destructed close relationship between dwelling and building. This study analyzes the essential meaning of dwelling with a viewpoint of building and vise virsa in order to have a deep reflection on contemporary architecture and modern crisis of dwelling. For this purpose this study first reviewed linguistic and mythical narratives on the origin of dwelling and building. Secondly, reviewed the thought of Heidegger on dwelling and building and his thinking on authenticity of dwelling. Thirdly, reviewed drastic change of idea and reality of dwelling recent days, especially from settlement to nomad. Lastly reviewed E. Levinas' thinking on bodily dwelling or primordial mode of dwelling before poetic dwelling of Heidegger. With these review we can figure out following things on dwelling and building. Physical building or its visual image can not take the place of dwelling in itself. Dwelling and Building happens simultaneously and understood as an event in life world. Today's alienation of dwelling from building reduced our conception of architecture to a physical setting and mere technique. Building must be a ontological and cultural phenomenon beyond physical building. Nomad in this age of information and globalization may be a new mode of dwelling. But it can not exclude traditional way of dwelling on concrete space, because human being as a physical being can not abandon dwelling place that gives a primordial comfort with and within our body.

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포인트 클라우드 데이터 기반 군집형 건물 솔리드 모델 자동 생성 기법과 모델 편집 기능 평가 (Evaluation of Clustered Building Solid Model Automatic Generation Technique and Model Editing Function Based on Point Cloud Data)

  • 김한결;임평채;황윤혁;김동하;김태정;이수암
    • 대한원격탐사학회지
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    • 제37권6_1호
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    • pp.1527-1543
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    • 2021
  • 본 논문에서는 포인트 클라우드 데이터를 기반으로 자동으로 군집형 솔리드 건물 모델을 생성하는 기술을 다양한 데이터에 적용, 실험을 수행하여 적용 가능성과 효용성을 탐색한다. 또한 자동 건물 모델링 기술의 한계로 인해 부족한 모델의 품질을 향상시키기 위하여 건물의 형상 편집 및 텍스처 조정 기술을 개발, 실험을 통해 결과를 확인하였다. 자동 건물 모델 생성 기술의 적용 가능성 탐색을 위하여 무인항공기 영상 기반으로 생성된 포인트 클라우드와 LiDAR(Light Detection and Ranging) 자료를 사용해 실험하였으며, 자동으로 생성된 건물 모델에 건물 형상 편집 및 텍스처 조정 기술을 적용하여 모델의 품질의 향상 실험을 수행하였다. 이를 통해 포인트 클라우드 데이터 기반의 자동 군집형 솔리드 건물 모델링 기술의 적용 가능성과 모델의 품질 향상기술의 효용성을 확인하였다. 개발된 기술은 기존의 건물 모델링 기술과 비교하여 처리시간의 비용이 크게 감소하며, 잦은 모델 갱신이 필요한 지역에 대한 관리 측면에서도 강점이 있을 것으로 기대된다.

Effect of post processing of digital image correlation on obtaining accurate true stress-strain data for AISI 304L

  • Angel, Olivia;Rothwell, Glynn;English, Russell;Ren, James;Cummings, Andrew
    • Nuclear Engineering and Technology
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    • 제54권9호
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    • pp.3205-3214
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    • 2022
  • The aim of this study is to provide a clear and accessible method to obtain accurate true-stress strain data, and to extend the limited material data beyond the ultimate tensile strength (UTS) for AISI 304L. AISI 304L is used for the outer construction for some types of nuclear transport packages, due to its post-yield ductility and high failure strain. Material data for AISI 304L beyond UTS is limited throughout literature. 3D digital image correlation (DIC) was used during a series of uniaxial tensile experiments. Direct method extracted data such as true strain and instantaneous cross-sectional area throughout testing such that the true stress-strain response of the material up to failure could be created. Post processing of the DIC data has a considerable effect on the accuracy of the true stress-strain data produced. Influence of subset size and smoothing of data was investigated by using finite element analysis to inverse model the force displacement response in order to determine the true stress strain curve. The FE force displacement response was iteratively adapted, using subset size and smoothing of the DIC data. Results were validated by matching the force displacement response for the FE model and the experimental force displacement curve.