• 제목/요약/키워드: search area analysis

검색결과 395건 처리시간 0.03초

Effect of Outriggers on Differential Column Shortening in Tall Buildings

  • Kim, Han-Soo
    • 국제초고층학회논문집
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    • 제6권1호
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    • pp.91-99
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    • 2017
  • Special consideration should be given to differential column shortening during the design and construction of a tall building to mitigate the adverse effects caused by such shortening. The effects of the outrigger - which is conventionally used to increase the lateral stiffness of a tall building - on the differential shortening are investigated in this study. Three analysis models, a constant-section, constant-stress, and general model, are prepared, and the differential shortenings of these models with and without the outrigger are compared. The effects of connection time, sectional area, and location of the outrigger on the differential shortening are studied. The sectional area of the outrigger shows a non-linear relation in reducing the maximum differential shortening. The optimum locations of the single and dual outriggers are investigated by an exhaustive search method, and it is confirmed that a global optimum location exists. This study shows that the outrigger can be utilized to reduce the differential shortening between the interior core wall and the perimeter columns as well as to reduce the lateral displacements due to wind or earthquake loads.

Effectiveness of external agents in polluted sedimentary area

  • Alam, Md. Mahabub;Haque, Md. Niamul;Cho, Daechul;Kwon, Sung-Hyun
    • Environmental Engineering Research
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    • 제21권1호
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    • pp.52-57
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    • 2016
  • Sediment is a useful natural source but deteriorated continually by anthropogenic and industrial sources. Therefore, it is imperative to search a suitable method for improving or restoring sediment quality. Sediment has been tested to identify the effects of some external agents on a polluted area for 28 days. Chemical analysis and total viable counts (TVC) test have been conducted for 4 days interval to assess their performance. The analyses of chemical oxygen demand (COD), acid volatile sulfide (AVS), total phosphorous (T-P), total nitrogen (T-N) indicate that the chemical agents was more efficient to improve sediment quality whereas the microbial agent was more efficient for nutrient releasing from sediment. Oxygen releasing property of the chemical agent was thought to be providing with more congenial environment for the higher growth of the bacterial community than the direct application of microbial agents.

산업재해 예방을 위한 효과적 안전교육방안 연구 - 인천지역 중소기업을 대상으로 - (A Study on the Effective Safety Education Plan to Prevent Industrial Disaster - Focused on to small and medium enterprises in Incheon area -)

  • 이백현;정수일
    • 대한안전경영과학회지
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    • 제9권2호
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    • pp.19-31
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    • 2007
  • If you examine the Industrial Disaster Analysis Content that occurs every year in the small and medium enterprise, industrial disaster occurs because of manager's lack of safety and worker's unprepared safety education. Therefore effective safety education systems are needed to offer adequate knowledge and technology to the workers. On this research, to give an effective education way to decrease industrial disaster we administered to the workers who are in charge of 300 workplace in Incheon area to search actual condition of industrial disaster and to disclose a link between industrial disaster and industrial safety education. We put in effect on frequency study and examined x2 using SPSSWIN 10.0. On the research, the results shows that the industrial safety education and training are in effect regularly and the satisfaction are low. But the manager's satisfactions are high through safety education. So it shows that we need to find a way to put in effect safety education to satisfy the workers.

AI기반 의류정보를 이용한 비인가 접근감지 (Detection of unauthorized person using AI-based clothing information analysis)

  • 신성윤;이현창
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2019년도 제60차 하계학술대회논문집 27권2호
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    • pp.381-382
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    • 2019
  • Recently, various search techniques using artificial intelligence techniques have been introduced. It is also possible to use the artificial intelligence to grasp customer propensity. Analyzing the clothes that customers usually wear, it is possible to analyze various colors such as favorite colors, patterns, and fashion styles. In this study, we use artificial intelligence technology to create an application that distinguish between adults and children by combining various factors such as shape, type, color and size of human clothes. Through this, it will be possible to utilize it in a living area where children can be protected in advance by grasping the intrusion of unauthorized adults in the living area where children live mainly. In addition, in the future, we can obtain good results to detect stranger adult person if we apply this experimental result to the detection system using clothing information.

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대구.경북지역 공공도서관의 아동서비스용 웹사이트 분석 및 개선방안 (Analysis and Suggestion of Public Library Websites for Children Service in Daegu and Gyeongbuk Area)

  • 오선경
    • 정보관리연구
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    • 제38권2호
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    • pp.127-152
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    • 2007
  • 오늘날 아동은 성인보다 컴퓨터와 인터넷을 통한 정보습득에 익숙하며 실제로 그들의 생활형태에 커다란 영향을 미치고 있다. 이에 공공도서관은 시공간에 제약 없이 아동들이 스스로 평생동안 학습하고, 책을 읽고, 정보에 접근할 수 있도록 웹사이트를 구축하여 제공해야 한다. 본 연구는 공공도서관 웹사이트의 중요성, 특히 아동을 위한 공공도서관 웹서비스의 중요성과 국내 동향을 분석하고 개선방안을 제시하고자 하는데 목적이 있다. 이를 위하여 대구 경북지역의 공공도서관 홈페이지를 대상으로 웹사이트의 구축여부, 구성체계, 검색서비스, 콘텐트를 분석하였다.

백화점 공간의 연속 주시에 나타난 주의집중 특성 (Features of Attention Shown at Continuous Observation of Department-Store Space)

  • 최계영
    • 한국실내디자인학회논문집
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    • 제24권6호
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    • pp.128-136
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    • 2015
  • This research, which has been planned to appreciate the features of continuous observation of space, has applied the procedure of acquiring continuous visual information when the act of watching takes place along the time to analyze the space characteristics through the scenes and time so that the features of attention shown in the process of acquiring visual information at the time of observing continuous scenes might be estimated. For analysis of the features of continuous observation was set up the premise that the features of observation and perception vary depending on gender, when the women shops in department stores were selected as research objects. The observation features found at the time of continuous observation of selling spaces in department stores were focused on two analysis methods in order to compare the differences and characteristics of the two. The followings are the findings. First, the area with predominant observation was found to be 87.1% in both methods. It was found that the analysis of observation features by "Analysis I" was useful for inter-sectional comparison of continuous images. Second, in case of extracting predominant sections, the ceiling or the structures which are the backgrounds rarely attracted any eyes. Depending on analysis method, there was the gap of 14.3%~25.0% between observed sections. Third, in case that the hall is curved, the eyes were found to be expanded from side to side and up and down. The review of observation numbers of predominant sections makes it possible to decide whether it should be regarded as (1) unstability or (2) expanding search, and when the images are enlarged from distant view to close-range view, the weakening vanishing point results in the increase of expanded search of surroundings. Accordingly, it was found that the characteristics of images has effects on the observation features when any space was continuously observed. Furthermore, the difference of analysis methods also was found to be likely to cause big differences in the results of analyzing observation features.

인용분석을 이용한 인터넷 정보의 연구 (A Study of Internet using Citation Analysis)

  • 곽철완
    • 한국비블리아학회지
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    • 제10권1호
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    • pp.213-222
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    • 1999
  • 본 연구는 특정 주제의 핵심 웹 정보원의 존재를 조사하고 그 정보원의 특징을 파악하는데 그 목적을 두었다. 웹 페이지들이 링크를 많이 한 웹 페이지는 그 분야에서 중요한 정보원으로 간주되므로. 인용분석법을 이용하여 ‘weather’분야의 링크빈도가 높은 웹 페이지를 파악하였다. 사용된 연구방법은 검색엔진을 이용하여, weather분야의 웹 페이지들을 조사한 후, 각 웹 페이지가 링크하고 있는 웹 페이지와 그 웹 페이지를 링크한 웹 페이지를 조사하였다. 7가지 웹 페이지들에 월등하게 많은 링크가 되어 있었는데. 각각 웹 페이지들의 관계성을 동시인용법을 통하여 분석한 결과. 크게 3가지 유형으로 구분되었다.

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An Identification of the Image Retrieval Domain from the Perspective of Library and Information Science with Author Co-citation and Author Bibliographic Coupling Analyses

  • 윤정원;정은경;변지혜
    • 한국문헌정보학회지
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    • 제49권4호
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    • pp.99-124
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    • 2015
  • As the improvement of digital technologies increases the use of images from various fields, the domain of image retrieval has evolved and become a growing topic of research in the Library and Information Science field. The purpose of this study is to identify the knowledge structure of the image retrieval domain by using the author co-citation analysis and author bibliographic coupling as analytical tools in order to understand the domain's past and present. The data set for this study is 245 articles with 8,031 cited articles in the field of image retrieval from 1998 to 2013, from the Web of Science citation database. According to the results of author co-citation analysis for the past of the image retrieval domain, our findings demonstrate that the intellectual structure of image retrieval in the LIS field consists of predominantly user-oriented approaches, but also includes some areas influenced by the CBIR area. More specifically, the user-oriented approach contains six specific areas which include image needs, information seeking, image needs and search behavior, image indexing and access, indexing of image collection, and web image search. On the other hand, for CBIR approaches, it contains feature-based image indexing, shape-based indexing, and IR & CBIR. The recent trends of image retrieval based on the results from author bibliographic coupling analysis show that the domain is expanding to emerging areas of medical images, multimedia, ontology- and tag-based indexing which thus reflects a new paradigm of information environment.

광양만권 산업체 맞춤 현장실습 활성화 방안 마련을 위한 인식 연구 (Recognition Research on the Field Placement Activation Plan on Demand of Gwangyang Bay Area Industry)

  • 이재환
    • 한국콘텐츠학회논문지
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    • 제15권12호
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    • pp.504-516
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    • 2015
  • 본 연구는 광양만권 산업체 맞춤 현장실습 활성화 방안을 마련하기 위하여 Q방법을 활용하였으며, 특히 현장실습에 참여하는 다양한 이해관계집단의 구성원-산업체 종사자, 산업체 연수생, 현장실습 담당 지도교수, 현장실습 담당 교직원 등-을 대상으로 이들이 현장실습에 대해 갖는 주관적인 인식과 태도를 유형화하고, 선행연구 검토 결과와 도출된 유형별 특성을 바탕으로 현장실습 활성화를 위한 정책적 시사점을 모색하고자 하는 데 있다. 연구 결과, 산학협력형(제1유형), 수요분석형(제2유형), 현장중심교육형(제3유형) 등 3가지 유형을 도출하였고, 이러한 연구 결과를 통해 대학과 산업체 상호간 긍정적인 산학협력관계 구축과 함께 지역 산업동향 및 인력수요 분석을 통한 인력 양성 종합지원 시스템 구축, 지역 산업체 현장직무 맞춤형 교육훈련을 위한 기반 인프라 구축, 국가직무능력표준(NCS) 기반 현장중심 교육 체계로의 전환 등을 통해 광양만권 산업체 맞춤 현장실습 활성화가 가능할 것이라는 시사점을 찾을 수 있었다.

해상 객체 탐지를 위한 머신러닝 기반의 초분광 영상 분석 기술 (Hyperspectral Image Analysis Technology Based on Machine Learning for Marine Object Detection)

  • 오상우;서동민
    • 해양환경안전학회지
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    • 제28권7호
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    • pp.1120-1128
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    • 2022
  • 해양사고 발생시 실종자는 해양에 노출된 시간이 길어질수록 생존확률이 빠르게 감소하기 때문에 인명구조를 위해서는 신속한 수색이 필요하다. 또한 해양의 수색영역은 육상에 비해서 매우 넓기 때문에 효율적인 수색을 위해서는 선박을 이용한 육안수색보다는 인공위성이나 항공기에 탑재된 센서를 이용한 해상 객체 탐지 기술의 적용이 필요하다. 본 연구는 항공기에 탑재된 초분광 영상 센서를 이용하여 해양에서 객체를 신속하게 탐지하기 위한 목적으로 진행되었다. 초분광 영상 센서로 촬영된 영상은 8,241 × 1,024의 공간 해상도를 가지며, 한 화소당 0.7 m의 분해능과 127개의 스펙트럼으로 구성된 대용량의 데이터이다. 본 연구에서는 이러한 데이터를 신속하게 분석하기 위한 목적으로 DBSCAN을 사용한 해수 식별 알고리즘과 밀도 기반의 육지 제거 알고리즘을 결합한 해상 객체 탐지 모델을 개발하였다. 개발한 모델은 초분광 영상에 적용하였을 때 약 5 km2의 해상 영역을 100초 내로 분석할 수 있는 성능을 보였다. 또한 개발한 모델의 탐지 정확도를 평가하기 위해서 항공기를 이용하여 목포, 군산, 여수 지역의 초분광 영상을 촬영하였으며, 본 연구에서 개발한 탐지 모델에 적용한 결과, 실험 영상 내의 선박들을 90 %의 정확도로 탐지할 수 있는 결과를 얻었다. 본 연구에서 개발된 기술은 소형 선박의 수색·구조 활동을 지원하는 중요한 정보로 활용될 수 있을 것으로 기대한다.