• Title/Summary/Keyword: 클러스터 재구성

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Development of Optimal Path Planning based on Density Data of Obstacles (장애물 밀집 정보 기반 최적 경로계획 기술 개발)

  • Kang, Won-Seok;Kim, Jin-Wook;Kim, Young-Duk;Lee, Seung-Hyun;An, Jin-Ung
    • Proceedings of the IEEK Conference
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    • 2009.05a
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    • pp.366-368
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    • 2009
  • 본 논문에서는 모바일 로봇이 작업하는 공간상에서 빠르고 안전한 최적 경로계획을 수행할 수 있게 하는 가변적 리드 맵을 이용한 장애물 밀집 정보 기반 경로계획을 제안한다. 모바일 로봇이 작업 공간에 대해서 빠르고 안전한 경로계획을 해 클러스터링 기법을 이용하여 정적 및 동적 장애물의 분포에 대한 맵 정보를 재구성하여 정보화 시킨다. 최적의 경로계획을 위해서는 재구성된 장애물 밀집 클러스터 데이터를 이용하여 전통적 기법의 GA 방법을 변형한 최적 경로계획을 수행한다. 제안한 기술의 효율성을 검증하기 위해 그리드 기반 경로계획 중의 하나인 A*알고리즘과 다양한 맵을 이용하여 성능 비교를 수행하였다. 실험결과 제안한 경로계획 기술은 기존 알고리즘 보다 빠른 처리 성능과 동적 장애물이 밀집한 지역을 회피하는 최적 경로계획을 수행함을 확인하였다.

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An Efficient Method of the Index Reorganization using Partial Index Transfer in Spatial Data Warehouses (공간 데이터 웨어하우스에서 부분 색인 전송을 이용한 효율적인 색인 재구성 기법)

  • Jeong, Young-Cheol;You, Byeong-Seob;Park, Soon-Young;Lee, Jae-Dong;Bae, Hae-Young
    • Proceedings of the Korea Information Processing Society Conference
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    • 2005.05a
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    • pp.39-42
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    • 2005
  • 공간 데이터 웨어하우스 구축기는 소스 데이터의 변경 사항을 일괄처리의 형태로 공간 데이터 웨어하우스에 적재한다. 또한, 공간 데이터 웨어하우스 서버는 사용자의 질의에 빠른 응답을 하기위해 적재된 데이터로 색인을 구축한다. 색인을 구성하는 기존 기법으로는 벌크 삽입 기법 및 색인 전송 기법이 있다. 벌크 삽입 기법은 색인을 구성하기 위한 클러스터링 비용이 필요하며 검색 성능도 떨어진다. 또한, 색인 전송 기법은 주기적인 소스 데이터의 변경을 지원하지 않는다는 문제점이 있다. 본 논문에서는 이와 같은 문제점을 해결하기 위해 공간 데이터 웨어하우스에서 부분 색인 전송을 이용한 효율적인 색인 재구성 기법을 제안한다. 제안 기법은 구축기에서 색인의 구조에 맞게 클러스터링된 클러스터들을 부분 색인으로 구성하여 페이지 단위로 전송한다. 공간 데이터 웨어하우스 서버에서는 전송된 부분 색인의 물리적 사상 문제를 해결하기 위해 물리적으로 연속된 공간을 예약하고 예약된 공간에 부분 색인을 기록한다. 기록된 부분 색인은 공간 데이터 웨어하우스 서버에 있던 기존 색인에 삽입된다. 부분 색인이 기존 색인에 직접 삽입됨으로써 색인 재구성을 위한 검색, 분할, 재조정 비용은 최소가 된다.

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Realignment of Clients in Client-server Database System (클라이언트-서버 데이터베이스에서 의 온라인 클라이언트 재배치)

  • Park, Young-B.;Park, J.
    • The KIPS Transactions:PartD
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    • v.10D no.4
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    • pp.639-646
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    • 2003
  • Conventional two-tier databases have shown performance limitation in the presence of many concurrent clients. To this end, the three-tier architecture that exploits similarities in client's object access behavior has been proposed. In this system, clients are partitioned into clusters, and object requests can be then served in inter-cluster manner. Introducing an intermediate layer between server(s) and clients enables this. In this paper, we introduce the problem of client realignment in which access behavior changes, and propose on-line client clustering. This system facilitates adaptive reconfiguration and redistribution of sites. The core issue in this paper is to demonstrate the effectiveness of on-line client clustering. We experimentally investigate the performance of the scheme and necessary costs.

Online Reorganization of B+ tree in a Scalable and Highly Available Database Cluster (확장 가능한 고가용 데이터베이스 클러스터에서 B+ 트리 색인의 온-라인 재조직 기법)

  • Lee, Chung-Ho;Bae, Hea-Young
    • The KIPS Transactions:PartD
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    • v.9D no.5
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    • pp.801-812
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    • 2002
  • On-line reorganization in a shared nothing database cluster is crucial to the performance of the database system in a dynamic environment like WWW where the number of users grows rapidly and changing access patterns may exhibit high skew. In the existing method of on-line reorganization have a drawback that needs excessive data migrations in case more than two nodes within a cluster have overload at the same time. In this paper, we propose an advanced B$^{+}$ tree based on-line reorganization method that solves data skew on multi-nodes. Our method facilitates fast and efficient data migration by including spare nodes that are added to cluster through on-line scaling. Also we apply CSB$^{+}$ tree (Cache Sensitive B$^{+}$ tree) to our method instead of B$^{+}$ tree for fast select and update queries. We conducted performance study and implemented the method on Ultra Fault-Tolerant Database Cluster developed for high scalability and availability. Empirical results demonstrate that our proposed method is indeed effective and fast than the existing method. method.

Evaluation of the Cluster-based staged Application Service Platform (클러스터 기반의 단계화된 응용서비스 플랫폼의 평가)

  • Kim Tae boon;Park Se myung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.3B
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    • pp.105-113
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    • 2005
  • In this paper, through the implementation of the application service, we evaluated the feasibility and availability of the staged application service platform, which is based on the sharing of the PVM cluster. Application service platform provides three managers for dividing the request processing steps into two stages, such as a request processing stage and a service providing stage. Three managers and its relation to the divided stages are as follows, service manager and load manager to distribute the request in front-end server for a request processing stage, job manager in clustered(back-end) servers for a service providing stage. The experiment shows that the staged application service platform provides more stable and scalable characteristics and better performance improvement on the dynamic load changes than the single server system. And also it shows that real application service system can be implemented easily without modification of the proposed service platform.

Management System of On-line Mode Client-cluster (온라인 모드 클라이언트-클러스터 운영 시스템)

  • 박제호;박용범
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.4 no.2
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    • pp.108-113
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    • 2003
  • Research results have demonstrated that conventional client-server databases have scalability problem in the presence of many concurrent clients. The multi-tier architecture that exploits similarities in clients' object access behavior partitions clients into logical clusters according to their object request pattern. As a result, object requests that are served inside the clusters, server load and request response time can be optimized. Management of clustering by utilizing clients' access pattern-based is an important component for the system's goal. Off-line methods optimizes the quality of the global clustering, the necessary cost and clustering schedule needs to be considered and planned carefully in respect of stable system's performance. In this paper, we propose methods that detect changes in access behavior and optimize system configuration in real time. Finally this paper demonstrates the effectiveness of on-line change detection and results of experimental investigation concerning reconfiguration.

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Implementation of Multispectral Imaging System (멀티스펙트럼 영상 획득 시스템 구현)

  • Jin, Yoon-Jong;Lee, Moon-Hyun;Noh, Sung-Kyu;Park, Jong-Il
    • 한국HCI학회:학술대회논문집
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    • 2008.02a
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    • pp.717-721
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    • 2008
  • This paper proposes an image system that can efficiently measure the spectral reflectance of a scene using RGB cameras and LED light sources. Multispectral imaging system is composed of LED controllers, LED clusters and RGB cameras. It captures full-spectral images at real-time. The system adopts a simple, empirical linear model to estimate the full spectral reflectance at each pixel. Since the model is linear, the reconstruction is efficient and stable. We estimated the spectral reflectance of various scenes using the system and showed the effectiveness of the proposed system.

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Clustering and Association Rule Mining of Transactions using Large Items (주요 항목 집합을 이용한 문서 클러스터링 및 연관 탐사 기법)

  • 서성보;김선철;이준욱;류근호
    • Proceedings of the Korean Information Science Society Conference
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    • 2000.04b
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    • pp.169-171
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    • 2000
  • 현재 광범위한 웹 문서를 검색하기 위해서 많은 사용자들이 여러 종류의 검색엔진을 사용하고 있다. 하지만 대부분의 사용자는 검색엔진에 의해 검색된 문서의 순서화가 된 긴 리스트의 검색 문서들과 이들이 갖는 낮은 신뢰도에 대해 검색된 문서 중에 자신이 원하는 타당한 문서를 검색하는 불편함이 있어 왔다. 정보 검색에서 문서의 클러스터링은 검색된 결과를 재구성하는 효율적이고 선택적인 방법이다. 이 연구에서는 문서를 트랜잭션 관점에서 해석하여 하나의 클러스터에 대해 유사성을 측정하기 이해 주요항목과 비 주요항목으로 구분하여 각 트랜잭션의 최소 비용 계산을 통해 자동화된 문서 클러스터링 기법을 제안한다. 또한 클러스터링 단계에서 주요 항목간의 연관 규칙을 생성하기 위하여 문서 클러스터링을 위한 디스크 엑세스 동안 키워드간의 연관성을 찾을 수 있는 효율적인 검색 기법을 제시한다.

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An Efficient CPLD Technology Mapping considering Area under Time Constraint (시간 제약 조건하에서 면적을 고려한 효율적인 CPLD 기술 매핑)

  • Kim, Jae-Jin;Kim, Hui-Seok
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.38 no.1
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    • pp.79-85
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    • 2001
  • In this paper, we propose a new technology mapping algorithm for CPLD consider area under time constraint(TMFCPLD). This technology mapping algorithm detect feedbacks from boolean networks, then variables that have feedback are replaced to temporary variables. Creating the temporary variables transform sequential circuit to combinational circuit. The transformed circuits are represented to DAG. After traversing all nodes in DAG, the nodes that have output edges more than two are replicated and reconstructed to fanout free tree. This method is for reason to reduce area and improve total run time of circuits by TEMPLA proposed previously. Using time constraints and delay time of device, the number of graph partitionable multi-level is decided. Initial cost of each node are the number of OR-terms that it have. Among mappable clusters, clusters of which the number of multi-level is least is selected, and the graph is partitioned. Several nodes in partitioned clusters are merged by collapsing, and are fitted to the number of OR-terms in a given CLB by bin packing. Proposed algorithm have been applied to MCNC logic synthesis benchmark circuits, and have reduced the number of CLBs by 62.2% than those of DDMAP. And reduced the number of CLBs by 17.6% than those of TEMPLA, and reduced the number of CLBs by 4.7% than those of TMCPLD. This results will give much efficiency to technology mapping for CPLDs.

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An Energy Efficient Clustering Scheme for WSNs (WSN에서 에너지 효율적인 클러스터링 기법)

  • Chung, Kil-Soo;Lee, Won-Seok;Song, ChangYoung
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.4
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    • pp.252-258
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    • 2013
  • As WSN is energy constraint so energy efficiency of nodes is important. Because avoiding long distance communication, clustering operating in rounds is an efficient algorithm for prolonging the lifetime of WSN and its performance depends on duration of a round. A short round time leads to frequent re-clustering while a long round time increases energy consume of cluster heads more. So existing clustering schemes determine proper round time, based on the parameters of initial WSN. But it is not appropriate to apply the round time according to initial value throughout the whole network time because WSN is very dynamic networks nodes can be added or vanished. In this paper we propose a new algorithm which calculates the round time relying on the alive node number to adapt the dynamic WSN. Simulation results validate the proposed algorithm has better performance in terms of energy consumption of nodes and loss rate of data.