• Title/Summary/Keyword: 영역구분

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Digital Image Processing in Analyzing the Signal Pattern of Rock-Inscribed Letter (디지털영상신호처리에 의한 금석문 음각문자 신호 패턴 분석)

  • Hwang, Jae-Ho
    • Proceedings of the KIEE Conference
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    • 2003.11c
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    • pp.758-761
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    • 2003
  • 금석문의 영상데이터를 디지털 형태로 검출하고, 영상신호처리 알고리즘을 사용하여 신호의 특성을 분석하고 그 결과를 제시하였다. 대상체는 비석에 음각된 문자로 하였다. 대전 주변의 백제권에서 몇몇 유형의 음각 문자를 형태별로 분류하여 디지털 이미지화한 다음, 문자가 각인된 정보영역과 바탕영역의 신호패턴을 추출하였다. 먼저 칼라 이미지를 grey tone으로 변환한 후, 전처리 과정을 거쳐 이미지의 노이즈나 불명확성을 제거하고 히스토그램 전 영역에 걸쳐 스케일 확장시켰다. 문자가 각인된 정보영역과 바탕영역을 구분하여 무작위로 소이미지 샘플을 취득하고 각 소이미지의 신호패턴을 분석하였다. 그 결과를 중첩의 원리를 이용하여 합성한 후 영역별 신호분석 패턴을 정형화하였다. 유형별로 다소 차이를 보이나 두 영역의 이미지 분석 결과는 차별성을 보였다. 문자 영역은 grey level 범위가 좁고 한정되며 일관성을 보이는데 비해, 바탕영역은 범위가 넓고 광범위하였다. 두 영역의 교차 레벨 범위는 극히 제한적이었으며 패턴 분리에 큰 영향을 끼치지 못하였음이 밝혀졌다. 이 일련의 과정은 알고리즘화되어, 1-2분 정도의 사전 작업만 하면 프로그램에 의해 문자를 추출할 수 있다. 이러한 사실들은 종래 무리한 탁본 작업에만 전적으로 의존하던 금석학 분야의 디지털화를 가능케 할 수 있다.

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Detection of ROIs using the Bottom-Up Saliency Model for Selective Visual Attention (관심영역 검출을 위한 상향식 현저함 모델 기반의 선택적 주의 집중 연구)

  • Kim, Jong-Bae
    • Annual Conference of KIPS
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    • 2011.11a
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    • pp.314-317
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    • 2011
  • 본 논문은 상향식 현저함 모델을 이용하여 입력 영상으로부터 시각적 주의를 갖는 영역들을 자동으로 검출하는 방법을 제안한다. 제안한 방법에서는 인간의 시각 시스템과 같이 사전 지식 없이 시각정보의 공간적인 분포에 근거하여 장면을 해석하는 상향식 현저함 모델 방법을 입력 영상에 적용하여 관심 물체 영역을 검출하는 연구이다. 상향식 현저함 방법은 Treisman의 세부특징이론 연구에서 제시한 바와 같이 시각적 주의를 갖는 영역은 시각정보의 현격한 대비차이를 가지는 영역으로 집중되어 배경에서 관심영역을 구분할 수 있다. 입력 영상에서 현저함 모델을 통해 3차원 현저함 맵을 생성한다. 그리고 생성된 현저함 맵으로부터 실제 관심영역들을 검출하기 위해 제안한 방법에서는 적응적 임계치 방법을 적용하여 관심영역을 검출한다. 제안한 방법을 관심영역 분할에 적용한 결과, 영역 분할 정확도 및 정밀도가 약 88%와 89%로 제시되어 관심 영상분할 시스템에 적용이 가능함을 알 수 있다.

A Market Trend and Technical Issues on Optical Components for DWDM Network (DWDM네트워크용 광부품의 시장전망 및 기술적 과제)

  • 정기태;송길호
    • Proceedings of the Optical Society of Korea Conference
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    • 2000.02a
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    • pp.92-93
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    • 2000
  • WDM전송망은 지금까지 주로 장거리 기간망에 점대점 형태로 적용되어 왔다. 그러나 최근 예측을 훨씬 상회하는 인터넷 수요의 폭발적 증가로 인하여 매트로 네트워크 및 가입자영역에 이르기까지 WDM전송망 구축의 필요성이 대두되고 있다. WDM네트워크 적용영역을 구분하면 아래와 같다. (중략)

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Edge-Directed Color Interpolation on Disjointed Color Filter Array (분리된 컬러 필터 배열을 이용한 에지 방향 컬러 보간 방법)

  • Oh, Hyun-Mook;Yoo, Du-Sic;Kang, Moon-Gi
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.47 no.1
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    • pp.53-61
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    • 2010
  • In this paper, we present a color interpolation algorithm that uses novel edge direction estimator and region classifier. The proposed edge direction estimator accurately determines the edge direction based on the correlation between the images obtained by the channel separated and down-sampled Bayer color filter array(CFA) pattern. The correlation is defined based on the similarity between the edge direction in the local region of the image and the shifting direction of the images. Also, the region of an image is defined as the flat, the edge, and the pattern-edge regions, where the edges are appeared repeatedly. When all the pixels in the image are classified into the three different regions, each pixel is interpolated horizontally or vertically according to the estimated direction. Experimental results show that the proposed algorithm outperforms the conventional edge-directed methods on objective and subjective criteria.

Development for establishing Big Data-based alley commercial area (빅데이터 기반 골목상권 영역설정 방법론 개발)

  • Hwang, Dong-Hyun;Ko, Kyeong-Seok;Park, Sang-June;Kim, Wan-Su
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.11 no.6
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    • pp.784-792
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    • 2018
  • In this study, we designed the area except the development market and the traditional market, where large scale shops were concentrated by realizing the real estate center of the alley commercial area. In addition, we have developed an area setting method for the alley area where reliability and rationality can be ensured by utilizing the actual data such as the business statistics, the survey data of the business, and the store business DB, which are managed by the local government or the state. The alley commercial areas were classified into five groups according to density. It is thought that users can distinguish the commercial areas from dense commercial areas to the commercial areas in order to utilize various commercial areas.

A Study on Architectural Design of Library Building for Preserving Ancient Documents of Koreanology (한국학(韓國學) 고문헌자료(古文獻資料) 전문도서관(專門圖書館) 건축계획(建築計劃)에 관한 연구(硏究))

  • Lee, Keun-Young;Park, Jee-Hoon;Kong, Soon-Ku
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.20 no.4
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    • pp.143-157
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    • 2009
  • The purpose of this study is to provide the basic data for architectural planning of the library building for preserving ancient documents through analysis of the spatial composition(facility program, area ratio, space zoning, circulation system). This study suggests an outcome as follows. First, The facility program of the archives is composed with four kind functional area ; collection area, user area, administrative/management area, and service/public area ; Second, through the case studies, it was proven that more space was given to the collection area such as the preservation part when compared to other areas(39~56%). Third, there are some traits found based on the location of the stack room of the specialized libraries, the location of the preservation department, and the existence of the loading and unloading area. Fourth, it shows that the organization is related to the movement routes.

A Study on Strategies for Corporate Advertisements in Concept Cases (기업광고 전략에 관한 연구 -컨셉사례를 중심으로-)

  • 조용수;용영무
    • Archives of design research
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    • v.15 no.1
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    • pp.37-48
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    • 2002
  • In the face of rapidly changing society and consumer cognition, eyer-increasing importance of strategies for creating good images for a company among critical factors inf1uencing management in terms of its survive is prevalent. Today, many companies strive for getting or improving their images with advertisements for corporate identity as well as public advertisements, which is considered as a requirement of this society and age for good images of companies rather for only good products and services. In this study, we analyzed and compared the largest companies in Korea, mainly in their printed materials for advertisements over the last 10 years from 1990. Corporate advertisements performed by domestic companies could be classified into several types based on their theoretical backgrounds and creative concepts. Basic theoretical backgrounds of corporate advertisements induced in the study are recognitive-psychological model and associative learning model. And, six areas of cases were classified and analysed in terms of their such creative concepts as random difference, competitive advantage and specific creativity. We analyzed and compared cases of strategies for domestic corporate advertisements with reference to these six each area in their effects and problems in terms of theoretical and practical aspects and thereby purpose to provide companies with reference in developing strategies for corporate advertisements of companies.

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A Development of the Software Education Curriculum Model for Elementary Students (초등학생을 위한 SW 교육과정 표준 모델 개발)

  • Jeong, Youngsik;Kim, Kapsu;Jeong, Inkee;Kim, Hyunbae;Kim, Chul;Yu, Jeongsu;Kim, Chongwoo;Hong, Myunghui
    • Journal of The Korean Association of Information Education
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    • v.19 no.4
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    • pp.467-480
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    • 2015
  • According to the 2015 Revised Curriculum, elementary school students will study software education for only 17 hours. Under these guidelines, it is impossible for student to achieve the objectives of software education. Therefore, we developed the software education curriculum model for elementary schools. After analyzing international and domestic trend in software education curricula, we developed a framework for software education that is divided into three parts: software, computer systems, and fusion activity. Each part has seven, color-coded levels that resemble a rainbow. This allows students to move to the next level after completing the achievement goals of the previous level, regardless of their grade. We expect that this model will be used in the future to develop textbooks, teaching materials, and tools for software education.

The Effect of Interleaved-practice by the Discriminative-contrast hypothesis in Mathematics (수학학습에서 구분-대조 가설에 의한 교차연습의 효과)

  • Ryu, Jimin;Park, Mijeong
    • Communications of Mathematical Education
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    • v.37 no.2
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    • pp.199-212
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    • 2023
  • The purpose of this study is to find out whether there is a difference in achievement between blocked practice and interleaved practice according to the difference in domain and type of learning content in mathematics subject, and through this result, it is to confirm whether the effect of interleaved practice in mathematics learning is due to the 'Discriminative-contrast Hypothesis' or the 'Distributed-practice Hypothesis'. Although interleaved practice is more effective than blocked practice, previous studies have not shown consistent results regarding the cause. Therefore, in this study, 103 first-year middle school students were randomly assigned to blocked practice, interleaved practice, remote blocked practice, and remote interleaved practice groups had learning activities over 4 times. The results reveals that the effect of interleaved practice appeared in similar types in the same domain, but the effect of interleaved practice did not appear in different types in different domain. In addition, through this result, it was confirmed that the effect of interleaved practice was due to the 'Discriminative-contrast hypothesis' rather than the 'Distributed-practice hypothesis'. Further research topics were suggested after the issues on the research method and the findings were discussed.

Content-based Image Reterieval Using Color and Chain Code (색상과 Chain Code를 이용한 내용기반 영상검색)

  • 정성호;이상렬;황병곤
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 1999.12a
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    • pp.193-198
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    • 1999
  • 본 논문에서는 영상의 내용을 나타내는 색상과 체인 코드에 기반한 복잡도와 영역 색정보를 이용한 내용 기반 영상 검색을 결합한 시스템을 구현하였다. 실험 대상으로 선택한 꽃 영상의 경우 대부분의 인식 대상 객체가 중앙에 있을 경우를 고려하여, 영상을 중앙 영역과 전체 영역으로 구분하고, 각각의 영역에서 두 개의 히스토그램을 생성한다. 그리고 전체 영역에 대한 기준치를 구하고 chain code글 이용한 복잡도를 구하였다. 중앙영역과 전체영역의 히스토그램 인터섹션을 이용한 검색을 실험하였고, 영역 색상과 복잡도를 결합한 검색도 또한 실험하였다. 기존의 히스토그램 인터섹션의 경우 Precision/Recall이 0.370/0.60인데 비해 영역 색상 히스토그램을 인터섹션한 경우의 Precision/Recall은 0.69/0.76이고 복잡도를 결합한 경우의 Precision/Recall은 0.92/0.80를 얻음으로써, 제안된 방식의 검색이 비교적 효율적임을 보였다.

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