• Title/Summary/Keyword: Line-Clustering

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A New Supervised Competitive Learning Algorithm and Its Application to Power System Transient Stability Analysis (새로운 지도 경쟁 학습 알고리즘의 개발과 전력계통 과도안정도 해석에의 적용)

  • Park, Young-Moon;Cho, Hong-Shik;Kim, Gwang-Won
    • Proceedings of the KIEE Conference
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    • 1995.07b
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    • pp.591-593
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    • 1995
  • Artificial neural network based pattern recognition method is one of the most probable candidate for on-line power system transient stability analysis. Especially, Kohonen layer is an adequate neural network for the purpose. Each node of Kehonen layer competes on the basis of which of them has its clustering center closest to an input vector. This paper discusses Kohonen's LVQ(Learning Victor Quantization) and points out a defection of the algorithm when applied to the transient stability analysis. Only the clustering centers located near the decision boundary of the stability region is needed for the stability criterion and the centers far from the decision boundary are redundant. This paper presents a new algorithm ratted boundary searching algorithm II which assigns only the points that are near the boundary in an input space to nodes or Kohonen layer as their clustering centers. This algorithm is demonstrated with satisfaction using 4-generator 6-bus sample power system.

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Smart elevator operation management mobile application design using clustering techniques (클러스터링 기법을 이용한 스마트 엘리베이터 운영관리 모바일 어플리케이션 설계)

  • Park, Hung-Bog;Son, Gwan-yeong;Choi, Geum-kang;Hwang, You-kyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.661-662
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    • 2016
  • It's being a trend that contemporary buildings are getting higher. And in line with this, we suggest the smart elevator operation management mobile application which is designed using clustering techniques to improve user's elevator access control and convenience. This clustering technique using the elevator's calling data make it possible to find its best position, and know the state of it using a smart phone as well. With this, not only the users' waiting time can be decreased, but also their convenience can be improved with the remote control system that got efficient a lot.

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Taxonomic implications of multivariate analyses of Egyptian Ononis L. (Fabaceae) based on morphological traits

  • FAYED, Abdel Aziz A.;EL-HADIDY, Azza M.H.;FARIED, Ahmed M.;OLWEY, Asmaa O.
    • Korean Journal of Plant Taxonomy
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    • v.49 no.1
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    • pp.13-27
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    • 2019
  • Numerical taxonomy is employed to determine the phenetic proximity of the Egyptian taxa belonging to the genus Ononis L. A classical clustering analysis and a principal component analysis (PCA) were used to separate 57 macro- and micromorphological characters in order to circumscribe 11 taxa of Ononis. A clustering analysis using the unweighted pair-group method with the arithmetic means (UPGMA) method gives the highest co-phenetic correlation. Results from clustering and PCA revealed the segregation of five groups. Our results are in line, to some certain degree, with the traditional sub-sectional concept, as can be seen in the grouping of the representative members of the subsections Diffusae and Mittisimae together and the representative members of the subsections Viscosae and Natrix. The phenetic uniqueness of Ononis variegata and O. reclinata subsp. mollis was formally established. However, our findings contradict the classic sectional concept; this opinion was suggested earlier in previous phylogenetic circumscriptions of the genus. The most useful characters that provide taxonomic clarity were discussed.

THE $^{13}CO$ DISTRIBUTION AND CORRELATION WITH EXTINCTION IN L134

  • MINN YOUNG KEY;LEE HYE KYUNG
    • Journal of The Korean Astronomical Society
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    • v.29 no.1
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    • pp.75-81
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    • 1996
  • We mapped the $^{13}CO$ line in the dark nebula L134 using the 14-m Taeduck radio telescope with a 57 arcsec beam and one beam spacing. The cloud has a spherical shape with an intensity peak ridge extended from the northwest to the southeast directions. The halfwidth and the radial velocity of the lines peak at the region of the cloud center. The radial velocity decreases from the cloud center towards the north and south directions. The integrated line intensity distributions in the space-velocity plane show some structure and a velocity gradient. The $^{13}CO$ and $H_2CO$ clouds and dark clouds are closely related in space in shape, outer boundary, and intensity peak positions. The $^{13}CO$ integrated line intensity is linearly proportional to the visual extinction.

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Analysis of the Inner Degradation Pattern by Clustering Algorism at Distribution Line (군집화 알고리즘을 이용한 배전선로 내부 열화 패턴 분석)

  • Choi, Woon-Shik;Kim, Jin-Sa
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.29 no.1
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    • pp.58-61
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    • 2016
  • Degradation in power cables used in distribution lines to the material of the wire, manufacturing method, but also the line of the environment, generates a variety of degradation depending upon the type of load. The local wire deterioration weighted wire breakage accident can occur frequently, causing significant proprietary damage can lead to accidents and precious. In this study, the signal detected by the eddy current aim to develop algorithms capable of determining the signals for the top part and at least part of the signal by using a signal processing technique called K-means algorithm.

A Multi 3D Objects Augmentation System Using Rubik's Cube (루빅스 큐브를 활용한 다 종류 3차원 객체 증강 시스템)

  • Lee, Sang Jun;Kim, Soo Bin;Hwang, Sung Soo
    • Journal of Korea Multimedia Society
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    • v.20 no.8
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    • pp.1224-1235
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    • 2017
  • Recently, augmented reality technology has received much attention in many fields. This paper presents an augmented reality system using Rubiks' Cube which can augment various 3D objects depending on patterns of a Rubiks' cube. The system first detects a cube from an image using partitional clustering and strongly connected graph. Thereafter, the system detects the top side of the cube and finds a proper pattern to determine which object should be augmented. An object corresponding to the pattern is finally augmented according to the camera viewpoint. Experimental results show that the proposed system successfully augments various virtual objects in real time.

A Clustering Algorithm for Path Planning of SMT Inspection Machines (SMT 검사기의 경로계획을 위한 클러스터링 알고리즘)

  • Kim, Hwa-Jung;Park, Tae-Hyoung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.13 no.4
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    • pp.480-485
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    • 2003
  • We Propose a Path planning method to reduce the Inspection time of AOI (automatic optical inspection) machines in SMT (surface mount technology) in-line system. Inspection windows of board should be clustered to consider the FOV (field-of-view) of camera. The number of clusters is desirable to be minimized in order to reduce the overall inspection time. We newly propose a genetic algorithm to minimize the number of clusters for a given board. Comparative simulation results are presented to verify the usefulness of proposed algorithm.

A Policy on Efficient Load-Balancing Using Contents-Based Game Servers

  • Myung, Won-Shig
    • International Journal of Contents
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    • v.3 no.1
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    • pp.9-13
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    • 2007
  • This paper proposes a policy on efficient load balancing that can reduce the network game server load burdened by surging number of users. The study adopted a contents-based clustering technique. Recently, skyrocketing number of clients in on-line games causes overloads on specific game servers, and the consequent server-instability brings the worst situation: a server failure. To cope with this problem, one can install more high-powered servers or be equipped with back-up servers, which is often inefficient in terms of cost performance. To solve this problem, the present study examined the technology enhancing the performance and efficiency of game servers by reducing the loads of specific game servers. In doing this, this study used the clustering technology to compose game servers classified by their contents and carried out appropriate load balancing to numerous clients with load balancers in each region.

Analysis of Partial Discharge Pattern of Closed Switchgear using K-means Clustering (K-means 군집화 기법을 이용한 개폐장치의 부분방전 패턴 해석)

  • Byun, Doo-Gyoon;Kim, Weon-Jong;Lee, Kang-Won;Hong, Jin-Woong
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.20 no.10
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    • pp.901-906
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    • 2007
  • In this study, we measured the partial discharge phenomenon of inside the closed switchgear, using ultra wide band antenna. The characteristics of $\Phi-q-n$ in the normal state are stable, and confirmed at less than 0.01, but in proceeding states, about 2 times larger. And in the abnormal state, it grew hundreds of times larger compared with normal state. According to K-means analysis, if slant of discharge characteristics is a straight line close to "0" and standard deviation is small, it is in a normal state. However if we can find a peak from K-means clusters and standard deviation to be large, it is in an abnormal state.

Performance Analysis of Star using Multistage Interconnection Network (다단상호결합 네트웍을 이용한 Star의 성능분석)

  • 허영남
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.12 no.4
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    • pp.357-364
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    • 1987
  • In this paper we consider the performance Analysis of multistage interconnection network, which is major parts of multi-processor system. We review the Hardware configuration of STAR network system using base-line interconnection network and obtain the probability of clustering basing on analytical model. In addition, Instead of Baseline interconnection system, mentioned above, STAR network system using delta network is considered and TWO probability mentioned above is obtained, finally the comparative result is shown in the figure.

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