• 제목/요약/키워드: Cluster point

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Plasma Impedance Monitoring with Real-time Cluster Analysis for RF Plasma Etching Endpoint Detection of Dielectric Layers

  • Jang, Hae-Gyu;Chae, Hui-Yeop
    • Proceedings of the Korean Vacuum Society Conference
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    • 2013.08a
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    • pp.123.2-123.2
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    • 2013
  • Etching endpoint detection with plasma impedance monitoring (PIM) is demonstrated for small area dielectric layers inductive coupled plasma etching. The endpoint is determined by the impedance harmonic signals variation from the I-V monitoring system. Measuring plasma impedance has been examined as a relatively simple method of detecting variations in plasma and surface conditions without contamination at low cost. Cluster analysis algorithm is modified and applied to real-time endpoint detection for sensitivity enhancement in this work. For verification, the detected endpoint by PIM and real-time cluster analysis is compared with widely used optical emission spectroscopy (OES) signals. The proposed technique shows clear improvement of sensitivity with significant noise reduction when it is compared with OES signals. This technique is expected to be applied to various plasma monitoring applications including fault detections as well as end point detection.

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Optimal Cluster Head Selection Method for Sectorized Wireless Powered Sensor Networks (섹터기반 무선전력 센서 네트워크를 위한 최적 클러스터 헤드 선택 방법)

  • Choi, Hyun-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.1
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    • pp.176-179
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    • 2022
  • In this paper, we consider a sectorized wireless powered sensor network (WPSN), wherein sensor nodes are clustered based on sectors and transmit data to the cluster head (CH) using energy harvested from a hybrid access point. We construct a system model for this sectorized WPSN and find optimal coordinates of CH that maximize the achievable transmission rate of sensing data. To obtain the optimal CH with low overhead, we perform an asymptotic geometric analysis (GA). Simulation results show that the proposed GA-based CH selection method is close to the optimal performance exhibited by exhaustive search with a low feedback overhead.

A Wide Field Survey of Intracluster Globular Clusters in Coma and Perseus Galaxy Clusters

  • O, Seong-A;Lee, Myung Gyoon
    • The Bulletin of The Korean Astronomical Society
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    • v.45 no.1
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    • pp.62.2-62.2
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    • 2020
  • Globular clusters(GCs) are found not only around galaxies (galaxy GCs), but also between galaxies in galaxy clusters (intracluster GCs; ICGCs). The ICGCs, which are not bound to any of cluster member galaxies, are governed by the galaxy clutster potential. ICGCs have been detected in the wide field of Virgo and Fornax galaxy clusters. However, previous surveys covered only a small fraction of Coma and Perseus. In this study we present a wide field survey of these two galaxy clusters, using Subaru Hyper Suprime-Cam(HSC) archival images, covering a circular field with diameter of ~1.8 deg. We select ICGC candidates, by masking the images of bright galaxies and choosing point sources in the remaining area. We find thousands of ICGCs in each galaxy cluster. These ICGCs show a bimodal color distribution, which is dominated by blue GCs. We investigate spatial distributions and radial number density profiles of the blue and red ICGCs in each galaxy cluster. Implications of the results will be discussed.

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A Design of Efficient Cluster Sensor Network Using Approximate Steiner Minimum Tree (근사 최소 스타이너 트리를 이용한 효율적인 클러스터 센서 네트워크의 구성)

  • Kim, In-Bum
    • The KIPS Transactions:PartA
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    • v.17A no.2
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    • pp.103-112
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    • 2010
  • Cluster sensor network is a sensor network where input nodes crowd densely around some nuclei. Steiner minimum tree is a tree connecting all input nodes with introducing some additional nodes called Steiner points. This paper proposes a mechanism for efficient construction of a cluster sensor network connecting all sensor nodes and base stations using connections between nodes in each belonged cluster and between every cluster, and using repetitive constructions of approximate Steiner minimum trees. In experiments, while taking 1170.5% percentages more time to build cluster sensor network than the method of Euclidian minimum spanning tree, the proposed mechanism whose time complexity is O($N^2$) could spend only 20.3 percentages more time for building 0.1% added length network in comparison with the method of Euclidian minimum spanning tree. The mechanism could curtail the built trees' average length by maximum 3.7 percentages and by average 1.9 percentages, compared with the average length of trees built by Euclidian minimum spanning tree method.

Images Positioning of Women's Formal Wear Brands - Tuning in the three department stores in Daejon -

  • Koo, In-Sook
    • Journal of Fashion Business
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    • v.9 no.3
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    • pp.8-21
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    • 2005
  • The purpose at this study was to analyze and to position the clothing images at women's formal wear brands carried by at least two department stores in Daejon, for providing data for a basic marketing strategy for fashion manufacturers and distributors. The results tram the study were as tallows; The brand that showed the highest classic image was 'BCBG'(83.6%), the brand that showed the highest feminine image was 'Obzee' (80.2%), the brand that showed the highest character image was 'Doho' (84.1%), and the brand that showed the highest mannish image was 'F.Station' (64.1%). On the brands image positioning map, brands, such as 'Deco', 'Mine', 'Time', and 'Anne Klein', lying on or near the point of intersection (where the vertical and horizontal axes meet) showed 4 types. They were 'smart & chic cluster', 'charming & luxury cluster', 'character elegance cluster', and 'sportive elegance cluster' that showed compound images. These clusters would be differentiated tram young casual lines by emphasizing the brands' shape and cut, higher quality fabrics and materials, and elegant and graceful colors. Analysis of target ages and tweed jacket prices for brands carried by at least two department stores showed that the target was between 23 and 50, and that the prices range from 198,000 won to 460,000 won.

Genetic Distances and Variations of Three Geographic Hairtail Populations Identified by PCR Analysis

  • Yoon, Jong-Man
    • Development and Reproduction
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    • v.18 no.3
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    • pp.167-172
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    • 2014
  • In the present study, muscle tissues were obtained separately from individuals from Atlantic hairtail population (AHP), Gunsan hairtail population (GHP) and Chinese hairtail population (CHP), respectively. The seven decamer primers were used to generate the shared loci, specific, unique shared loci to each population and shared loci by the three hairtail populations. Here, averagely, a decamer primer generated 64.7 amplified products per primer in the AHP population, 55.7 in GHP population and 56.4 in CHP population. The number of unique shared loci to each population and number of shared loci by the three populations generated by genetic analysis using 7 decamer primers in AHP, GHP and CHP population. 119 unique shared loci to each population, with an average of 17 per primer, were observed in the AHP population, and 28 loci, with an average of 4 per primer, were observed in the CHP population. The hierarchical dendrogram point out three main branches: cluster 1 (ATLANTIC 01 ~ ATLANTIC 07), cluster 2 (GUNSAN 08 ~ GUNSAN 14) and cluster 3 (CHINESE 15 ~ CHINESE 21). The shortest genetic distance displaying significant molecular difference was between individuals' CHINESE no. 16 and CHINESE no. 18 (0.045). In the long run, individual no. 01 of the AHP population was most distantly related to CHINESE no. 19 (genetic distance = 0.430). Consequently, PCR analysis generated on the genetic data displayed that the geographic AHP population was widely separated from CHP population, while individuals of CHP population were fairly closely related to those of GHP population.

A study on Somatotype Classification of the Early Middle-Aged Women (중년 전기 여성의 체형 유형화에 관한 연구)

  • 심정희
    • Journal of the Korean Society of Clothing and Textiles
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    • v.25 no.8
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    • pp.1386-1397
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    • 2001
  • The purpose of this study was to classify and analyze the somatotype of early middle-aged women and to provide its total data for clothing construction, and to improve clothing culture. The subjects were 277 early middle-aged women between 35 and 44 years old. Data were collected through anthropometry and photometry and analyzed by factor analysis, cluster analysis and discriminant analysis. The results were as follows; 1. The result of factor analysis indicated that 10 factors were extracted through factor analysis and those factors comprised 86.13 percent of total variance. 2. Using factor scores, cluster analysis was carried out and the subject were classified into 4 cluster. Type 1 is tall, slim, and X type in front. Type 2 is standard height and weight, short upper body, and hip-protruded on the side. Type 3 is standard height, thin, H type in front, back and hip are clearly protruded, and lean-back type on the side. Type 4 is standard height, fat, and long upper body. 3. According to the stepwise discriminant analysis, the 8 important iems is classifying the somatotype of early middle-aged women are as follows : bust girth, back length hip breadth-waist breadth, back protruded point depth(back)-back waist depth(back), hip tangent tilt, hip depth(back) waist dapth(back), bust depth-waist depth, and cervical hight, The correct classification rate for these items is as exact as 83.20%.

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Analyzing landslide data using Cauchy cluster process (코시 군집 과정을 이용한 산사태 자료 분석)

  • Lee, Kise;Kim, Jeonghwan;Park, No-wook;Lee, Woojoo
    • The Korean Journal of Applied Statistics
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    • v.29 no.2
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    • pp.345-354
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    • 2016
  • Inhomogeneous Poisson process models are widely applied to landslide data to understand how environmental variables systematically influence the risk of landslides. However, those models cannot successfully explain the clustering phenomenon of landslide locations. In order to overcome this limitation, we propose to use a Cauchy cluster process model and show how it improves the goodness of fit to the landslide data in terms of K-function. In addition, a numerical study is performed to select the optimal estimation method for the Cauchy cluster process.

Molecular dynamics simulation of ultra-low energy ion implantation for GSI device technology development (GSI소자 개발을 위한 극 저 에너지 이온 주입에 대한 분자 역학 시뮬레이션)

  • 강정원;손명식;황호정
    • Journal of the Korean Institute of Telematics and Electronics D
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    • v.35D no.3
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    • pp.18-27
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    • 1998
  • Molecular dynamicsinvestigations of ion implantation considering point defect generation were performed with ion energies in the range of ~1keV, Simulation starts perfect diamond cubic lattice site. Stillinger-Weber potential and ZBL potential were used to calculate forces between atoms. We have simulated slowing-down of ion velocity, ion trajectory and coupled-coing between ion and silicon. We also discussed distribution of point defect using rdial distribution function. We found that interstitial produced by ion bombardment mainly formed interstitial cluster.

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An Efficient Cluster Routing Protocol Based on 2-level Tree for Wireless Ad Hoc Networks (무선 애드 혹 네트워크에서 에너지 효율적인 2-level 트리 기반의 클러스터 라우팅 프로토콜)

  • Lee, Young Joon;Kim, Sung Chun
    • KIPS Transactions on Computer and Communication Systems
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    • v.3 no.5
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    • pp.155-162
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    • 2014
  • We proposed a 2 level tree based cluster based routing protocol for mobile ad hoc networks. it is our crucial goal to establish improved clustering's structure in order to extend average node life-time and elevate the average packet delivery ratio. Because of insufficient wireless resources and energy, the method to form and manage clusters is useful for increasing network stability. but cluster-head fulfills roles as a host and a router in clustering protocol of Ad hoc networks environment. Therefore energy exhaustion of cluster-head causes communication interruption phenomenon. Effective management of cluster-head is key-point which determines the entire network performance. The scheme focuses on improving the performance the life time of the network and throughput through the management of cluster-heads and its neighbor nodes. In simulation, we demonstrated that it would obtain averagely better 17% performance than LS2RP.