• Title/Summary/Keyword: network-selection

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Adaptive QoS Management for MPEG-4 Streaming Service over Internet (인터넷 기반의 MPEG-4 스트리밍 서비스를 위한 적응적 QoS 관리)

  • 최지훈;이상조;서덕영;김현철;이명호
    • Journal of Broadcast Engineering
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    • v.5 no.2
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    • pp.227-238
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    • 2000
  • This paper, at first, provides analysis on loss pattern of Internet based on real experiments of the current Internet. Then, we propose an effective adaptive QoS management technique, in which measured loss pattern as well as PLR (Packet Loss Ratio) are used to select titrate of temporal scalability. level of FEC and retransmission This selection is also incorporated to the MPEG-4 error resilience tools and error concealment techniques. In order to minimize effect of packet loss, multimedia stream is segmented in the unit of group of Pictures (GOP) and interleaving and FEC are applied to the segment. Proposed algorithms are applied to build a VOD system.

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Image Pattern Classification and Recognition by using Associative Memories with Cellular Neural Networks (셀룰라신경회로망의 연상메모리를 이용한 영상 패턴의 분류 및 인식 방법)

  • Shin, Yoon-Cheol;Park, Yong-Hun;Kang, Hoon
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2002.05a
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    • pp.231-234
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    • 2002
  • 셀룰라 신경회로망의 연상 메모리를 이용하여 시각적인 입력 데이터의 연산을 통하여 영상 패턴의 분류와 인식을 수행한다. 셀룰라 신경회로망은 일반적인 신경회로망과 같이 비선형 데이터의 실시간 처리가 가능하고, 세 포자동자와 같이 격자구조의 셀로 이루어져 인접한 셀과 직접 정보를 주고받는다. 응용 분야로는 최적화, 선형/비선형화, 연상 메모리, 패턴인식, 컴퓨터 비젼 등에 적용할 수 있다. 영상의 이미지 픽셀을 셀룰라 신경회로망의 셀에 대응하여 전체 이미지 영상을 모든 셀룰라 신경회로망의 셀에서 동시에 병렬로 처리할 수 있어 2-D 이미지 처리에 적합하다 본 논문은 셀룰라 신경회로망에 의한 연상 메모리 구조를 설계하고, 학습된 하중값 메모리에서 가장 적당한 하중값을 선택하여 학습된 영상과 정확히 일치하는 출력을 얻는 방법을 제시한다. 학습을 통한 연상 메모리 구현에는 각각의 뉴런에서 일정하지 않은 다른 템플릿을 사용한다. 각각의 템플릿은 뉴런들 간의 연결 하중값을 나타내고 학습011 따라 갱신된다. 학습방법으로는 템플릿 하중값 학습에 뉴런들 간의 연결 하중값을 조정하는 가장 단순한 규칙인 Hebb의 학습방법이 사용되었고 분류값 학습에 LMS 알고리즘이 사용되었다

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Design and Implementation of a Learning Organization for Autonomous Biosafety Management of Infectious Disease Laboratories by Knowledge Translation (지식확산에 의한 감염병 실험실의 자율적 생물안전관리 학습조직 설계 및 실행)

  • Shin, Haeng-Seop;Yu, Minsu
    • Journal of Environmental Health Sciences
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    • v.41 no.2
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    • pp.102-115
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    • 2015
  • Objectives: A learning organization was designed and implemented on the basis of the selection criteria and essential elements of knowledge translation theory. Methods: The learning organization was designed on the basis of biosafety harmonization criteria and risk management strategy and was implemented as the learning organization for biosafety management by the National Institute of Health, Korea Centers for Disease Control & Prevention. The effect of knowledge translation in the research institutions by evidence-based policy was verified. Results: The result of applying the knowledge translation theory involving all stakeholders showed a positive reaction in establishing and implementing biosafety management strategy and embodied risk assessment criteria and evoked sympathy with the necessity of learning and using of expert knowledge about risk assessment and risk management. All stakeholders initiated voluntarily action toward new human-network construction and communication between similar organizations. The learning organization's capability expanded the base of knowledge translation. Conclusion: These results showed that a learning organization could enhance the autonomous safety management system by diffusion of knowledge translation.

An Explorative Study on the Social Metadata in Academic Libraries (소셜 메타데이터 활용에 관한 탐색적 연구 - 국내 대학도서관 웹 사이트 분석을 중심으로 -)

  • Park, Heejin
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.24 no.2
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    • pp.231-246
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    • 2013
  • This paper attempts to explore the use of social metadata in academic libraries. A total of 173 academic libraries were examined and analyzed. Various social metadata were reviewed, involved with users' participation and contribution. Error-reports, tagging, recommendations, ratings, reviews, comments, sharing, and community were identified that support selection, sharing and collaboration through social engagement. Suggestions drawn from the findings are offered to utilize social metadata in order to enhance users' contribution and interaction. It is hoped that this exploratory study will provide insight into the use of social metadata in academic libraries.

A Survey on Fly-By-Wireless Flight Control Technology (Fly-By-Wireless 비행제어 기술의 연구 동향)

  • Han, Jung-Soo;Ha, Chul-Su;O, Su-Hun;Kang, Seung-Eun;Ko, Sangho
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.22 no.1
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    • pp.7-14
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    • 2014
  • This paper deals with recent research cases and directions of Fly-By-Wireless (FBWLS) flight control technology. FBWLS is a new type of flight control system technology with the aim of solving the problems mainly caused by the increasing amount of wires in aircraft to which Fly-By-Wire (FBW) technology applies. Therefore, in FBWLS flight control system the wired communication system is replaced with a wireless communication system. Currently the FBWLS flight control technology is at an initial development stage and thus this paper surveys deals with the cases in the viewpoint of technology feasibility. In this context, this paper analyzes technology that needs further studies to secure the reliability, stability and accuracy to the similar level of the corresponding FBW system. Since the major problems of FBWLS technology are packet losses and time delays so that this paper suggests the research direction of wireless communication protocol selection, optimization of wireless communication network and controller design considered communication environment.

Study on Selection of Restoration Model for Amenity Improvement of Urban River : Division of River Type (Ⅰ) (도시하천 어메니티 향상을 위한 복원모델 선정에 관한 연구 : (Ⅰ) 하천유형분류 기법 산정)

  • Han, Kwang-Doo;Byun, Keum-Ok;Sung, Youn-Joo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2009.05a
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    • pp.2153-2157
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    • 2009
  • 도시하천은 Eco-network의 근간이며, 하천을 통해 인간이 느낄 수 있는 정서적인 안정감, 친밀감, 쾌적함 등 어메니티의 모체로서, 최근 도심내 Open space로서의 위상을 높여가고 있다. 양재천을 위시하여 수원천, 전주천 등 지역을 대표하는 하천들이 자연형 하천으로 정비되어 하천 이용에의 관심이 고조되고, 청계천의 성공을 기점으로 하천의 친수공간으로서의 기능이 강조됨에 따라 도시하천에 대한 개발 요구도는 급속히 높아지게 되었다. 이러한 개발요구의 급속한 증가가 있음에도 불구하고 보전과 이용이 상충하는 도시하천의 어메니티 향상을 위한 기준은 마련되지 않고, 일부 하천에서 이용과 관리의 효율성을 고려하지 않은 무분별한 개발을 부추기게 되어, 오히려 어메니티 향상의 측면에서는 부정적인 결과를 초래하였다. 따라서 본 연구에서는 하천 특성에 적합한 어메니티 도입 기준을 설정하기 위하여 하천의 규모, 자연도, 이용지수를 기준으로 하천유형을 분류하였으며, 이를 바탕으로 지속적인 연구를 진행하여 선진사례와 국내하천조사를 통해 지표요소를 분석하고, 분석된 지표요소에 따라 유형을 추출해내는 과정을 통해 하천유형과 활동유형, 도입시설간의 관계를 설정하여 도시하천 어메니티 향상을 위한 기준으로서 하천복원모델(안)을 제시하고자 한다.

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An Analysis System of Prepositional Phrases in English-to-Korean Machine Translation (영한 기계번역에서 전치사구를 해석하는 시스템)

  • Gang, Won-Seok
    • The Transactions of the Korea Information Processing Society
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    • v.3 no.7
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    • pp.1792-1802
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    • 1996
  • The analysis of prepositional phrases in English-to Korean machine translation has problem on the PP-attachment resolution, semantic analysis, and acquisition of information. This paper presents an analysis system for prepositional phrases, which solves the problem. The analysis system consists of the PP-attachment resolution hybrid system, semantic analysis system, and semantic feature generator that automatically generates input information. It provides objectiveness in analyzing prepositional phrases with the automatic generation of semantic features. The semantic analysis system enables to generate natural Korean expressions through selection semantic roles of prepositional phrases. The PP-attachment resolution hybrid system has the merit of the rule-based and neural network-based method.

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An Image-based Augmented Reality System for Multiple Users using Multiple Markers (다수 마커를 활용한 영상 기반 다중 사용자 증강현실 시스템)

  • Moon, Ji won;Park, Dong woo;Jung, Hyun suk;Kim, Young hun;Hwang, Sung Soo
    • Journal of Korea Multimedia Society
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    • v.21 no.10
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    • pp.1162-1170
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    • 2018
  • This paper presents an augmented reality system for multiple users. The proposed system performs ar image-based pose estimation of users and pose of each user is shared with other uses via a network server. For camera-based pose estimation, we install multiple markers in a pre-determined space and select the marker with the best appearance. The marker is detected by corner point detection and for robust pose estimation. the marker's corner points are tracked by optical flow tracking algorithm. Experimental results show that the proposed system successfully provides an augmented reality application to multiple users even when users are rapidly moving and some of markers are occluded by users.

Color Analysis for the Quantitative Aesthetics of Qiong Kiln Ceramics

  • Wang, Fei;Cha, Hang;Leng, Lu
    • Journal of Multimedia Information System
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    • v.7 no.2
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    • pp.97-106
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    • 2020
  • The subjective experience would degrade the current artificial artistic aesthetic analysis. Since Qiong kiln ceramics have a long history and occupy a very important position in ceramic arts, we employed computer-aided technologies to quickly automatically accurately and quantitatively process a large number of Qiong kiln ceramic images and generate the detailed statistical data. Because the color features are simple and significant visual characteristics, the color features of Qiong kiln ceramics are analyzed for the quantitative aesthetics. The Qiong kiln ceramic images are segmented with GrabCut algorithm. Three moments (1st-order, 2nd-order, and 3rd-order) are calculated in two typical color spaces, namely RGB and HSV. The discrimination powers of the color features are analyzed according to various dynasties (Tang Dynasty, Five Dynasties, Song Dynasty) and various utensils (Pot, kettle, bowl), which are helpful to the selection of the discriminant color features among various dynasties and utensils. This paper is helpful to promoting the quantitative aesthetic research of Qiong kiln ceramics and is also conducive to the research on the aesthetics of other ceramics.

An Intelligent System of Marker Gene Selection for Classification of Cancers using Microarray Data (마이크로어레이 데이터를 이용한 암 분류 표지 유전자 선별 시스템)

  • Park, Su-Young;Jung, Chai-Yeoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.10
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    • pp.2365-2370
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    • 2010
  • The method of cancer classification based on microarray could contribute to being accurate cancer classification by finding differently expressing gene pattern statistically according to a cancer type. Therefore, the process to select a closely related informative gene with a particular cancer classification to classify cancer using present microarray technology with effect is essential. In this paper, the system can detect marker genes to likely express the most differentially explaining the effects of cancer using ovarian cancer microarray data. And it compare and analyze a performance of classification of the proposed system with it of established microarray system using multi-perceptron neural network layer. Microarray data set including marker gene that are selected using ANOVA method represent the highest classification accuracy of 98.61%, which show that it improve classification performance than established microarray system.