• Title/Summary/Keyword: cluster method

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Process of the Scale in Fashion Sensibility (패션감성의 척도화 과정)

  • 이경희;김유진
    • Science of Emotion and Sensibility
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    • v.4 no.1
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    • pp.33-42
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    • 2001
  • The purpose of this study was to construct the scale in fashion sensibility. Base on the Fashion Magazines and free word association method, 919 affective words were condensed into 36 semantic differential bi-polar scales. 128 male and 128 female in Pusan rated their Fashion Sensibility by 87 kinds of costume samples from photographs divided into four types according to color, detail and trimming, pattern, textile. The obtained data analyzed by Cronbach ${\alpha}$, Factor analysis, Cluster analysis to consider of the reliability, tranquility, and resemblance among the meaning. The results of the analysis, it was found cleary that aesthetics, maturity character, and femininity masculinity etc were consisted of Fashion Sensibility and 25 item of affective words of Fashion Sensibility and 25 item of affective words of Fashion Sensibility were constructed.

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Feature Map Construction using Orientation Information in a Grid Map (그리드지도의 방향정보 이용한 형상지도형성)

  • 송도성;강승균;임종환
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.10a
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    • pp.1496-1499
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    • 2004
  • The paper persents an efficient method of extracting line segment in a grid map. The grid map is composed of 2-D grids that have both the occupancy and orientation probabilities based on the simplified Bayesian updating model. The probabilities and orientations of cells in the grid map are continuously updated while the robot explorers to their values. The line segments are, then, extracted from the clusters using Hough transform methods. The eng points of a line segment are evaluated from the cells in each cluster, which is simple and efficient comparing to existing methods. The proposed methods are illustrated by sets of experiments in an indoor environment.

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Dynamic Clustering for Load-Balancing Routing In Wireless Mesh Network

  • Thai, Pham Ngoc;Hwang, Min-Tae;Hwang, Won-Joo
    • Journal of Korea Multimedia Society
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    • v.10 no.12
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    • pp.1645-1654
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    • 2007
  • In this paper, we study the problem of load balancing routing in clustered-based wireless mesh network in order to enhance the overall network throughput. We first address the problems of cluster allocation in wireless mesh network to achieve load-balancing state. Due to the complexity of the problem, we proposed a simplified algorithm using gradient load-balancing model. This method searches for a localized optimal solution of cluster allocation instead of solving the optimal solution for overall network. To support for load-balancing algorithm and reduce complexity of topology control, we also introduce limited broadcasting between two clusters. This mechanism maintain shortest path between two nodes in adjacent clusters while minimizing the topology broadcasting complexity. The simulation experiments demonstrate that our proposed model achieve performance improvement in terms of network throughput in comparison with other clustering methods.

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Scene Change Detection Using Local Information (지역적 정보를 이용한 장면 전환 검출)

  • Shin, Seong-Yoon;Jin, Chan-Yong;Rhee, Yang-Won
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.6
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    • pp.1199-1203
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    • 2012
  • This paper proposes a Scene Change Detection method using the local decision tree and clustering. The local decision tree detects cluster boundaries wherein local scenes occur, in such a way as to compare time similarity distributions among the difference values between detected scenes and their adjacent frames, and group an unbroken sequence of frames with similarities in difference value into a cluster unit.

SEC Approach for Detecting Node Replication Attacks in Static Wireless Sensor Networks

  • Sujihelen, L.;Jayakumar, C.;Senthilsingh, C.
    • Journal of Electrical Engineering and Technology
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    • v.13 no.6
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    • pp.2447-2455
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    • 2018
  • Security is more important in many sensor applications. The node replication attack is a major issue on sensor networks. The replicated node can capture all node details. Node Replication attacks use its secret cryptographic key to successfully produce the networks with clone nodes and also it creates duplicate nodes to build up various attacks. The replication attacks will affect in routing, more energy consumption, packet loss, misbehavior detection, etc. In this paper, a Secure-Efficient Centralized approach is proposed for detecting a Node Replication Attacks in Wireless Sensor Networks for Static Networks. The proposed system easily detects the replication attacks in an effective manner. In this approach Secure Cluster Election is used to prevent from node replication attack and Secure Efficient Centralized Approach is used to detect if any replicated node present in the network. When comparing with the existing approach the detection ratio, energy consumption performs better.

A Quantitative Approach for analysis on the Patterns of Socio-Economic Development Structure (사회경제발전구조의 유형분석을 위한 계량적 접근)

  • 권철신
    • Journal of the Korean Operations Research and Management Science Society
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    • v.8 no.2
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    • pp.27-43
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    • 1983
  • The purpose of this paper is to analyze the structure and properties of the patterns by extracting the general patterns on socio-economic development from huge data by statistical analysis. We collected data concerning socio-logical, economical and technological aspects. Indicators used for this study amounted to a total of 136, and among them 39 were on science & technology. What is more, these indicators were set up with the resent data for the first half of the 1970's mainly, and 141 nations were selected as the sample. Some rinkage patterns to the total indicators were abstracted by cluster analysis based on the correlation matrix. And some rinkage patterns to the total countries were educed by applying cluster analysis of centroid method to the respective indicators.

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A two-level parallel algorithm for material nonlinearity problems

  • Lee, Jeeho;Kim, Min Seok
    • Structural Engineering and Mechanics
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    • v.38 no.4
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    • pp.405-416
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    • 2011
  • An efficient two-level domain decomposition parallel algorithm is suggested to solve large-DOF structural problems with nonlinear material models generating unsymmetric tangent matrices, such as a group of plastic-damage material models. The parallel version of the stabilized bi-conjugate gradient method is developed to solve unsymmetric coarse problems iteratively. In the present approach the coarse DOF system is solved parallelly on each processor rather than the whole system equation to minimize the data communication between processors, which is appropriate to maintain the computing performance on a non-supercomputer level cluster system. The performance test results show that the suggested algorithm provides scalability on computing performance and an efficient approach to solve large-DOF nonlinear structural problems on a cluster system.

Numerical Taxonomic Studies of Phenol-degrading Bacteria Isolated from Sail (토양에서 분리한 Phenol 분해세균의 수치분류)

  • Lee, Geon;Lee, Sang-Joon;Lee, Jong-Kun
    • Microbiology and Biotechnology Letters
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    • v.19 no.6
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    • pp.624-630
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    • 1991
  • Sixty five phenol degrading bacteria were isolated from soil and identified. Sirnility values calculated on the basis of total 46 morphological, biochemical and physiological characteristics of the isolated strains. 65 isolates were divided into 6 clusters at the 70% simility lavei, The dominant organisms were belonged to Azotobacter, Pseudomonas and Flavobactwium.

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Composition of Marine Algal Community at the Intertidal Zone in Gwangyang Bay, South Sea, Korea (한국 남해안 중부에 위치한 광양만 조간대의 해조상과 군집)

  • Choi, Chang-Geun;Huh, Sung-Hoi
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.41 no.3
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    • pp.201-207
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    • 2008
  • The seasonal variation and vertical distribution of the marine algal community were investigated using the quadrat method from February 2006 to January 2007 at 10 sites in Gwangyang Bay, Korea. In total, 48 red, 17 brown, and 13 green algal taxa were identified. The algal vertical distribution in the intertidal zone was characterized by Ulva pertusa, while the upper tidal zone was dominated by Gelidium divaricatum. The middle zone was primarily composed of Enteromorpha linza, Sargassum thunbergii, and Chondracanthus intermedia, whereas Hizikia fusiformis, Sargassum thunbergii, Gelidium amansii, and Corallina pilulifera characterized the low tidal zone. Results of cluster analysis indicated that algal composition fell into two groups, which were composed of species in the inland and open sea. In conclusion, the number of species, diversity, and abundance of vegetation in this area were remarkably reduced compared to previous studies in Gwangyang Bay.

Power Efficient Multi-hop Routing Protocol in Cluster for Wireless Sensor Networks (무선 센서네트워크 환경에서의 효율적인 전력소비를 위한 라우팅 프로토콜)

  • Bae, Dae-Jin;Kim, Jong-Tae
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.22 no.2
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    • pp.142-147
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    • 2008
  • In wireless sensor networks, one of the most important issue is improvement of network lifetime with an efficient energy consumption. we repose effective multi-hop routing algorithm which increases the number of nodes alive at any time. In our algorithm we use the dynamic selection of cluster head and short distance transmission method. We simulated the proposed algorithm by using Network Simulator 2 and compared its performance with LEACH. The experimental result shows that the number of the nodes alive is increased up to 39.71[%] during the simulation time.