• 제목/요약/키워드: Object Division

검색결과 772건 처리시간 0.031초

Conceptual Object Grouping for Multimedia Document Management

  • Lee, Chong-Deuk;Jeong, Taeg-Won
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제9권3호
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    • pp.161-165
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    • 2009
  • Increase of multimedia information in Web requires a new method to manage and service multimedia documents efficiently. This paper proposes a conceptual object grouping method by fuzzy filtering, which is automatically constituted based on increase of multimedia documents. The proposed method composes subsumption relations between conceptual objects automatically using fuzzy filtering of the document objects that are extracted from domains. Grouping of such conceptual objects is regarded as subsumption relation which is decided by $\mu$-cut. This paper proposes $\mu$-cut, FAS(Fuzzy Average Similarity) and DSR(Direct Subsumption Relation) to decide fuzzy filtering, which groups related document objects easily. This paper used about 1,000 conceptual objects in the performance test of the proposed method. The simulation result showed that the proposed method had better retrieval performance than those for OGM(Optimistic Genealogy Method) and BGM(Balanced Genealogy Method).

사물 통신 환경을 위한 화이트보드에서의 오류 처리 (An Error Control in a Whiteboard for M2M Environment)

  • 배철수;고응남
    • 한국정보전자통신기술학회논문지
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    • 제9권1호
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    • pp.109-113
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    • 2016
  • 사물 통신과 멀티미디어 협동 작업 환경의 필요성을 기술하고, 그 기반 하에 사물 통신 기반 화이트보드에서의 오류 처리에 대해서 제안하였다. 본 정보의 수집 및 활용 관계가 사람 대 사람에서 사람 대 사물의 관계, 사물 대 사물의 관계로 변화되어 사물 간 상호 정보 교환 및 제어 시스템을 통해 사물이 자율적으로 관리하는 형태로 진화되고 있다. 본 논문은 사물형 지능 통신 기반의 멀티미디어 공동 작업 환경을 위한 화이트보드와 오류 제어에 대해서 기술한다.

LDAP을 이용한 학생정보시스템 구현 (Implementation of Student-Information System by LDAP)

  • 윤성중;김건웅
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2005년도 춘계종합학술대회
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    • pp.603-606
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    • 2005
  • 본 논문에서는 디렉토리 서비스를 이용하여 학생정보시스템을 구현한 결과를 소개한다. 먼저 필요한 속성들을 추가로 선언하였으며, 그것들을 바탕으로 새로 객체 클래스 ‘myStudent'를 정의하였다. LDAP서버는 OpenLDAP 2.x를, PHP는 4.3.x를 이용하였다.

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A Study on an Automatic Multi-Focus System for Cell Observation

  • Park, Jaeyoung;Lee, Sangjoon
    • Journal of Information Processing Systems
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    • 제15권1호
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    • pp.47-54
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    • 2019
  • This study is concerned with the mechanism and structure of an optical microscope and an automatic multi-focus algorithm for automatically selecting sharp images from multiple foci of a cell. To obtain precise cell images quickly, a z-axis actuator with a resolution of $0.1{\mu}m$ was designed to control an optical microscope Moreover, a lighting control system was constructed to select the color and brightness of light that best suit the object being viewed. Cell images are captured by the instrument and the sharpness of each image is determined using Gaussian and Laplacian filters. Next, cubic spline interpolation and peak detection algorithms are applied to automatically find the most vivid points among multiple images of a single object. A cancer cell imaging experiment using propidium iodide staining confirmed that a sharp multipoint image can be obtained using this microscope. The proposed system is expected to save time and effort required to extract suitable cell images and increase the convenience of cell analysis.

SELF-PAIR HOMOTOPY EQUIVALENCES RELATED TO CO-VARIANT FUNCTORS

  • Ho Won Choi;Kee Young Lee;Hye Seon Shin
    • 대한수학회지
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    • 제61권3호
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    • pp.409-425
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    • 2024
  • The category of pairs is the category whose objects are maps between two based spaces and morphisms are pair-maps from one object to another object. To study the self-homotopy equivalences in the category of pairs, we use covariant functors from the category of pairs to the group category whose objects are groups and morphisms are group homomorphisms. We introduce specific subgroups of groups of self-pair homotopy equivalences and put these groups together into certain sequences. We investigate properties of these sequences, in particular, the exactness and split. We apply the results to two special functors, homotopy and homology functors and determine the suggested several subgroups of groups of self-pair homotopy equivalences.

웹계층 오브젝트 모델링을 통한 분산 애플리케이션 개발 프레임웍크 (A Framework for Developing Distributed Application with Web-Tier Object Modeling)

  • 천상호;권기현;최형진
    • 정보처리학회논문지D
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    • 제11D권5호
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    • pp.1143-1148
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    • 2004
  • 분산 애플리케이션을 위한 다계층 모델 또는 분산 아키텍처를 개발하기 위해서는 웹디자이너와 페이지 작성가의 역할 분리, 엔터티 정의와 사용에 대한 고려, 데이터베이스 연결 및 관리, 트랜잭션 처리 둥 여러 가지 사항을 고려하여야 한다. 본 논문에서는 분산 애플리케이션 개발시 여러 고려사항에 대한 해결책으로 웹 계층 오브젝트 모델링 방법을 사용하는 DONSL(Data Server of Non SQL-Query) 아키텍처를 제안한다. 이 아키텍처는 트랜잭션 처리를 지원하고 웹 계층과 DBMS 사이에는 질의 로직을 단순화하는 방법을 통해 성능을 보장하는 구조이다. 제안한 개념적인 프레임웍은 각 계층(tier)의 작업을 단순화시키고 엔터티와 DAO(Data Access Object)를 제거시킴으로서 중대규모 사이트 구현을 용이하게 하는 방법을 제공한다.

A Study on Phase Bearing Error using Phase Delay of Relative Phase Difference

  • Lee, Kwan Hyeong
    • International Journal of Internet, Broadcasting and Communication
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    • 제13권2호
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    • pp.76-81
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    • 2021
  • This study proposes a method to reduce the phase error of the received signal to detect the object bearing. The phase shift of the received signal occurs due to the multipath of the signal by natural structure or artificial structures. When detecting the direction of the object using radio waves, the phase of the received signal cannot be accurately detected because of the phase bearing error in the object detection direction. The object detection direction estimation depends on the phase difference, antenna installation distance, signal source wavelength, frequency band and bearing angle. This study reduces the error of the phase bearing by using the phase delay of the relative phase difference for the signals incident on the two antennas. Through simulation, we analyzed the object direction detection performance of the proposed method and the existing method. Three targets are detected from the [-15°, 0°, 15°] direction. The existing method detects the target at [-13°, 3°, 17°], and the proposed method detects the at [-15°, 0°, 15°]. As a result of the simulation, the target detection direction of the proposed method is improved by 2 degrees compared to the existing method.

숨은 객체 식별을 위한 향상된 공간객체 탐색기법 (An Advanced Scheme for Searching Spatial Objects and Identifying Hidden Objects)

  • 김종완;조양현
    • 한국정보통신학회논문지
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    • 제18권7호
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    • pp.1518-1524
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    • 2014
  • 본 논문은 주변탐색(Surrounder Search: SuSe)이라는 새로운 공간질의 방법을 제안한다. 이 기법은 현재 사용자의 위치를 중심으로 주변에서 가까운 관심영역의 공간객체를 탐색하는 것이다. 사용자 중심의 주변탐색은 증강현실과 같이 사용자가 관심 있어 하는 공간객체 중 가까운 것을 찾기 때문에 기존의 공간질의와 구별된다. 기존 기법은 질의점과 객체 사이의 최단거리(MINDIST)를 기준으로 주변을 탐색하지만 제안 기법에서는 객체들 사이에 숨어있지만 관심의 대상인 숨은 객체를 식별하기 위해서 각도(Angle)를 함께 고려하여 탐색한다. 제안 기법의 특징은 기존기법이 거리만을 사용하여 가까운 객체를 탐색한 것과 달리 거리는 멀지만 숨은 객체까지도 찾아냄으로써 사용자의 선호도를 더 세밀하게 반영한다. 실험결과에서 제안기법인 SuSe는 최근접 이웃 탐색기법인 NN(Nearest Neighbor)과 비교하여 보다 정밀한 공간객체 탐색이 가능하며 향상된 탐색성능을 타나낸다.

Subsea 생산 시스템 시뮬레이션에 관한 연구 (Study on Simulation of Subsea Production System)

  • 박주용;조효제;이승재
    • 한국해양공학회지
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    • 제27권3호
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    • pp.1-7
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    • 2013
  • The purpose of this study was the implementation of a simulation for a subsea production system. This subsea production system is installed under environments with high pressure and low temperature. Most of the processes for oil and gas production occur in the subsea equipment. Therefore, an understanding and study of subsea production systems is very difficult because people cannot directly observe the processes occurring in the subsea production system. A simulation system can be a useful solution for this difficult problem. In this research, information models and a 3-D graphic model of the subsea equipment were built using the object-oriented technology and 3-D CAD. The entire system was implemented with the help of simulation software, 3-DVIA Virtools. The simulation system for the subsea production system was tested using several production process scenarios. The results of the tests showed that the simulation system is very useful for understanding a subsea production system and could be a good educational tool.

Tracking and Face Recognition of Multiple People Based on GMM, LKT and PCA

  • Lee, Won-Oh;Park, Young-Ho;Lee, Eui-Chul;Lee, Hee-Kyung;Park, Kang-Ryoung
    • 한국멀티미디어학회논문지
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    • 제15권4호
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    • pp.449-471
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    • 2012
  • In intelligent surveillance systems, it is required to robustly track multiple people. Most of the previous studies adopted a Gaussian mixture model (GMM) for discriminating the object from the background. However, it has a weakness that its performance is affected by illumination variations and shadow regions can be merged with the object. And when two foreground objects overlap, the GMM method cannot correctly discriminate the occluded regions. To overcome these problems, we propose a new method of tracking and identifying multiple people. The proposed research is novel in the following three ways compared to previous research: First, the illuminative variations and shadow regions are reduced by an illumination normalization based on the median and inverse filtering of the L*a*b* image. Second, the multiple occluded and overlapped people are tracked by combining the GMM in the still image and the Lucas-Kanade-Tomasi (LKT) method in successive images. Third, with the proposed human tracking and the existing face detection & recognition methods, the tracked multiple people are successfully identified. The experimental results show that the proposed method could track and recognize multiple people with accuracy.