• 제목/요약/키워드: cluster point

검색결과 464건 처리시간 0.035초

병렬처리와 가상격자를 이용한 대용량 항공 레이저 스캔 자료의 효율적인 처리 (Efficient Processing of Huge Airborne Laser Scanned Data Utilizing Parallel Computing and Virtual Grid)

  • 한수희;허준;엥흐바타르
    • 한국공간정보시스템학회 논문지
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    • 제10권4호
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    • pp.21-26
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    • 2008
  • 본 연구에서는 대용량의 항공 레이저 스캔 자료를 효율적으로 처리하기 병렬처리 기법과 가상격자 구조를 도입하였으며 제안한 방법의 실효성을 평가하기 위하여 IDW(Inverse Distance Weighting) 방식으로 정규격자 DSM을 생성하였다. 즉, 대용량 항공 레이저 스캔 자료의 신속한 보간을 위하여 병렬처리 기법을 이용하고 불규칙적으로 분포된 포인트의 검색 효율성을 제고하기 위하여 가상격자(virtual grid)를 사용하였다. 마스터 노드와 6대의 슬래이브 노드로 구성된 클러스터를 사용하여 처리 시간을 측정한 결과 노드의 수가 증가하더라도 1에 가까운 efficiency를 나타내었으며 load scalability의 특성도 만족시켰다. 또한 용량의 한계로 인하여 단일 시스템에서 처리할 수 없는 크기의 자료를 클러스터 시스템으로 처리할 수 있음을 확인하였다.

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중년여성의 의복구성을 위한 상반신 체형분류 (Classification of Upper Torso Somatotype for the Construction of Middle-Aged Women's Clothing)

  • 김혜경;김순자
    • 한국의류학회지
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    • 제19권6호
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    • pp.1027-1039
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    • 1995
  • Clothing fitness is strongly required in the apparel industry, and draping is an effective tool to increase fitness to the wearers. A more sophisticated and systematic information of the somatotype, accordingly, is necessary for better cress form design. This study was performed to provide fundamental data on middle aged women's upper torso for dress form designers and pattern makers by classifying the somatotype based on each individual's lateral view, and analyzing the characteristics of their somatotype. Data were analyzed by factor analysis, cluster analysis, analysis of variance. Factor analysis was used to 23 items from photometric measurment and cluster analysis was applied for classification of upper torso forms. Through cluster analysis using 5 factor scores, 3 somatotypes were categorized from th lateral view 1) Type I was straight somatotype in which the plumb line passes throught the lobe of the ear, the shoulder joing and the mid abdominal region laterally. This type of woman was slender and shorter than average. 2) Type II was bending somatotype in which the upper portion of upper torso is bent forward. This type of woman was taller and fatter than average. 3) Type III was swayback somatotype in which the upper portion of protruding point on the back is bent forward but the lower portion of protruding point had characteristic of turning over somatotype. This type of woman had storter length on the front and longer lenght on the back, slender type and flat chest.

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Scheduling Methods for Multi-User Optical Wireless Asymmetrically-Clipped OFDM

  • Wilson, Sarah Kate;Holliday, Joanne
    • Journal of Communications and Networks
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    • 제13권6호
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    • pp.655-663
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    • 2011
  • Diffuse optical wireless (DOW) systems have the advantage that they do not require point-to-point siting so one transmitter can communicate with several receivers. In this paper, we investigate multiple access scheduling methods for downlink orthogonal frequency division multiplexing (OFDM) in diffuse optical wireless networks. Unlike the radio frequency (RF) channel, the DOW channel has low-pass filter characteristics and so requires different scheduling methods than those developed for the RF channel. Multi-user diversity orthogonal frequency division multiple access (OFDMA) systems nominate a cluster of subcarriers with the largest signal-to-noise-ratio for transmission. However, in a DOW channel, most users would choose the lowest frequency clusters of subcarriers. To remedy this problem, we make two proposals. The first is to use a variable cluster size across the subcarriers; the lower frequency clusters will have fewer subcarriers while the higher frequency clusters will have more subcarriers. This will equalize the capacity of the clusters. The second proposal is to randomize a user's cluster selection from a group of clusters satisfying a minimum threshold. Through simulation it is shown that combining these strategies can increase the throughput while ensuring a fair distribution of the available spectrum.

남성복(男性服) 브랜드이미지 인식(認識)에 관(關)한 연구(硏究) (A Study on the Perception of Men's Wear Brands)

  • 구인숙
    • 패션비즈니스
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    • 제9권5호
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    • pp.1-14
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    • 2005
  • The purpose of this study was to analysis the perception of men's wear brands (Intermezzo and Rogatis), for developing the possibility & strategy of the nichi-market in men's wear market for the apparel marketers and manufactures. For this study, the data obtained from 312 respondents were analyzed by descriptive statistics, ANOVA. The results from the study were as follow ; The perception of the 2 brand images revealed that Intermezzo accounted for 79.8% of the frequencies, and Rogatis accounted for 99%. Also, results revealed the total evaluation of Intermezzo accounted for 3.86 of the mean rated on 5 point Likert-type scales in the 9 features, and Rogatis accounted for 3.28. And then, results revealed that there were signifiant differences in 2 cluster of Rogatis that the purchasing cluster accounted for 3.46 of the mean, and the perceiving cluster accounted for 3.07. The brand images of Intermezzo and Rogatis were evaluated and rated on 5 point Likert-type scales of 17 pair adjectives. As a results, the image characteristic with Intermezzo was considered with more dynamic, trendy than the image characteristic with Rogatis. Also, results revealed that The Image with Intermezzo was considered with urban, lively, chic, modern, and sophsticated image-features, and the Image with Rogatis were evaluated mannish, urban, sophsticated, luxury, and static image-features.

궤적 클러스터링 기법을 이용한 클러스터 그룹 헤드 선정 (A Cluster Group Head Selection using Trajectory Clustering Technique)

  • 김진수;신승수
    • 한국산학기술학회논문지
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    • 제12권12호
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    • pp.5865-5872
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    • 2011
  • 무선 센서 네트워크의 클러스터링 시스템에서 클러스터 헤드가 기지국으로부터 멀리 떨어져있어 다중홉으로 통신하는 경우, 센싱된 데이터는 중간 클러스터 헤드를 통해 기지국으로 전송한다. 기지국에 가까이 있는 헤드 노드가 먼 노드보다 더 많은 패킷을 중계할 필요가 있기 때문에 핫 스팟 문제가 생긴다. 이런 문제로 기지국 가까이에 있는 클러스터 헤드는 에너지가 쉽게 고갈되고 이로 인해 네트워크의 수명을 단축시킨다. 본 논문에서는 궤적 클러스터링 기법을 이용한 클러스터 그룹 헤드 선정 기법을 제안한다. 제안하는 방법에서 클러스터 헤드 및 그룹 헤드의 선정은 궤적 클러스터링 기법 및 적합도 함수를 이용함으로써 에너지 효율을 높인다. 또한 핫 스팟 문제는 여러 계층을 클러스터 그룹으로 지정하고 그에 대한 적합도 함수를 이용하여 에너지 소모의 균형을 맞춤으로써 해결한다. 실험을 통해 이전의 클러스터링 기법보다 네트워크 에너지 효율성이 향상됨을 입증한다.

ON THE LARGE DEVIATION PROPERTY OF RANDOM MEASURES ON THE d-DIMENSIONAL EUCLIDEAN SPACE

  • Hwang, Dae-Sik
    • 대한수학회논문집
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    • 제17권1호
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    • pp.71-80
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    • 2002
  • We give a formulation of the large deviation property for rescalings of random measures on the d-dimensional Euclidean space R$^{d}$ . The approach is global in the sense that the objects are Radon measures on R$^{d}$ and the dual objects are the continuous functions with compact support. This is applied to the cluster random measures with Poisson centers, a large class of random measures that includes the Poisson processes.

No Blind Spot: Network Coverage Enhancement Through Joint Cooperation and Frequency Reuse

  • Zhong, Yi;Qiao, Pengcheng;Zhang, Wenyi;Zheng, Fu-chun
    • Journal of Communications and Networks
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    • 제18권5호
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    • pp.773-783
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    • 2016
  • Both coordinated multi-point transmission and frequency reuse are effective approaches to mitigate inter-cell interference and improve network coverage. The motivation of this work is to explore the manner to effectively utilize the spectrum resource by reasonably combining cooperation and frequency reuse. The $Mat{\acute{e}}rn$ cluster process, which is appropriate to model networks with hot spots, is used to model the spatial distribution of base stations. Two cooperative mechanisms, coherent and non-coherent joint transmission (JT), are analyzed and compared. We also evaluate the effect of multiple antennas and imperfect channel state information. The simulation reveals that the proposed approach to combine cooperation and frequency reuse is effective to improve the network coverage for users located at both the center and the boundary of the cooperative region.

웹 서버 클러스터 환경에서의 보안세션 고속화 기술 (High Speed Secure Session Technology for Web Server Cluster)

  • 진승의;김태일;이형호
    • 정보처리학회논문지C
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    • 제8C권4호
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    • pp.379-388
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    • 2001
  • 인터넷을 이용한 전자상거래(e-commerce)가 확산되면서 중소규모의 다중 서버를 클러스터화하여 클라이언트의 요청에 대한 응답을 수행하는 네트웍 서비스에 대한 요구가 증대하고 있다. 이러한 웹서버 클러스터 환경의 요청을 위해서는 TCP정보나 요청되는 대상의 컨텐트(content) 정보를 이용하여 라우팅을 수행하는 라우터의 구현이 필수적이다. 이러한 TCP 라우팅이나 컨텐트 라우팅의 구현을 전적으로 소프트웨어에 의존하는 경우 전송속도의 저하가 발생할 우려가 있다. 이는 기존의 TCP 커넥션 설정과 이 TCP 커넥션을 이용한 데이터 전송이 라우팅을 고려하지 않은 가상의 점대점(point-to-point) 연결구조를 갖기 때문이다. 따라서, 본 논문에서는 보안세션 라우팅을 고속화시키기 위하여 TCP 커넥션 고속화를 기반으로 보안세션의 재사용성을 향상시키는 웹서버 클러스터 환경에 최적화된 디스패칭(dispatching) 기법을 제시하고자 한다.

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A Study on Intelligent Edge Computing Network Technology for Road Danger Context Aware and Notification

  • Oh, Am-Suk
    • Journal of information and communication convergence engineering
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    • 제18권3호
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    • pp.183-187
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    • 2020
  • The general Wi-Fi network connection structure is that a number of IoT (Internet of Things) sensor nodes are directly connected to one AP (Access Point) node. In this structure, the range of the network that can be established within the specified specifications such as the range of signal strength (RSSI) to which the AP node can connect and the maximum connection capacity is limited. To overcome these limitations, multiple middleware bridge technologies for dynamic scalability and load balancing were studied. However, these network expansion technologies have difficulties in terms of the rules and conditions of AP nodes installed during the initial network deployment phase In this paper, an intelligent edge computing IoT device is developed for constructing an intelligent autonomous cluster edge computing network and applying it to real-time road danger context aware and notification system through an intelligent risk situation recognition algorithm.

A Clustered Dwarf Structure to Speed up Queries on Data Cubes

  • Bao, Yubin;Leng, Fangling;Wang, Daling;Yu, Ge
    • Journal of Computing Science and Engineering
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    • 제1권2호
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    • pp.195-210
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    • 2007
  • Dwarf is a highly compressed structure, which compresses the cube by eliminating the semantic redundancies while computing a data cube. Although it has high compression ratio, Dwarf is slower in querying and more difficult in updating due to its structure characteristics. We all know that the original intention of data cube is to speed up the query performance, so we propose two novel clustering methods for query optimization: the recursion clustering method which clusters the nodes in a recursive manner to speed up point queries and the hierarchical clustering method which clusters the nodes of the same dimension to speed up range queries. To facilitate the implementation, we design a partition strategy and a logical clustering mechanism. Experimental results show our methods can effectively improve the query performance on data cubes, and the recursion clustering method is suitable for both point queries and range queries.