• Title/Summary/Keyword: Multiple Cluster

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CN AND CH BAND STRENGTHS OF BRIGHT GIANTS IN THE GLOBULAR CLUSTER M15

  • LEE SANG-GAK
    • Journal of The Korean Astronomical Society
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    • v.33 no.3
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    • pp.137-142
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    • 2000
  • CN and CH band strengths for ten new bright giants in the globular cluster M15 have been measured from archival spectra obtained with the Multiple Mirror Telescope. Using published indices for other bright M15 giants, a CN-CH band strength anticorrelation is found for bright red giants. However, stars that do not follow the CN-CH anticorrelation are also found. They seem to show a positive correlation between the two indices. Among them, all the AGB and HB stars of the sample are included. Stars I-38 and X6, which are located near the RGB fiducial line in the CMD, have low measured CH(G) indices compared with other RGB stars. Stars IV-38, S4, and S1, which are all near the RGB tip, have strong measured CH(G) indices. Therefore, most of their evolutionary states are suspected to be different from those of a normal single RGB star.

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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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    • v.18 no.3
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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.

Structure of Particle Clusters Formed in Gas-Solid flows

  • Tanaka, Toshitsugu;Ito, Akihito;Tsuji, Takuya
    • 한국전산유체공학회:학술대회논문집
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    • 2006.10a
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    • pp.26-27
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    • 2006
  • Characteristics of spatial structure of particle clusters are investigated by using the flow field data obtained from three-dimensional numerical simulations. Eulerian/Lagrangian approach with two-way coupling is applied and individual particle-particle collisions are taken into account by using the hard-sphere model. More than 16 million particles are traced in the maximum case. The results show that the cluster is consisted from the multiple-spatial scale components while the low wave-number, hence the large-scale structure, is dominant. Three-dimensional structure reconstructed from the low-pass filtered data enables us to investigate the essential dynamics of particle clusters in detail.

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Layer Assignment of Functional Chip Blocks for 3-D Hybrid IC Planning (3차원 Hybrid IC 배치를 위한 기둥첩 블록의 층할당)

  • 이평한;경종민
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.24 no.6
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    • pp.1068-1073
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    • 1987
  • Traditional circuit partitioning algorithm using the cluster development method, which is suitable for such applications as single chip floor planning or multiple layer PCB system placement, where the clusters are formed so that inter-cluster nets are localized within the I/O connector pins, may not be appropriate for the functiona block placement in truly 3-D electronic modules. 3-D hybrid IC is one such example where the inter-layer routing as well as the intra-layer routing can be maximally incorporated to reduce the overall circuit size, cooling requirements and to improve the speed performance. In this paper, we propose a new algorithm called MBE(Minimum Box Embedding) for the layer assignment of each functional block in 3-D hybrid IC design. The sequence of MBE is as follows` i) force-directed relaxation in 3-D space, ii) exhaustive search for the optimal orientation of the slicing plane and iii) layer assignment. The algorithm is first explaines for a 2-D reduced problem, and then extended for 3-D applications. An example result for a circuit consisting of 80 blocks has been shown.

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The evolution of a late-type galaxy through multiple high-speed galaxy-galaxy collisions

  • Hwang, Jeong-Sun;Park, Changbom
    • The Bulletin of The Korean Astronomical Society
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    • v.42 no.1
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    • pp.51.4-52
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    • 2017
  • We perform hydrodynamical simulations of a late-type galaxy experiencing frequent high-speed encounters with intruding galaxies, called "galaxy harassment". Specifically, we simulate a Milky Way-like galaxy colliding consecutively with six twice-massive early-type galaxies containing hot diffuse gas on their halos, with various impact parameters ranging from 65 kpc/h to 15 kpc/h at the relative speed of about 1500 km/s. We show that galaxy-galaxy encounters play a significant role in a cluster environment in gas stripping and star formation quenching through hydrodynamic interactions of late-type galaxies with cluster early-type galaxies.

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Classified by the Internal Characteristics of Caves (동굴내부 특성에 따른 유형 분류)

  • Shin, Dong-Won;Jung, Kyu-Hwan
    • Journal of the Speleological Society of Korea
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    • no.90
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    • pp.63-68
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    • 2009
  • Classified by the characteristics of caves, without academic basis, was used by multiple variables of internal characteristics of caves, such as; the length, the type of features, the genesis, and the square. It is used by cluster analysis as an analysis technique. It is classified in 5 different types from the results of the analysis, and the results say that the diverse classification of visitors' demand is possible.

Patterns and Determinats of Supplementary Educational Investment on Childern (자녀보충교육투자의 유형과 결정요인)

  • 주인숙
    • Journal of Family Resource Management and Policy Review
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    • v.4 no.1
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    • pp.1-13
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    • 2000
  • This study examined patterns and determinants of families’supplementary educational investment on children. By supplementary educational investment, it meant the amounts of money spent on children’s education other than regular formal schooling expenses. The data used were from the 「1996 Household Expenditure Survey」conducted by the National Statistical Office. The statistical methods employed were descriptive statistics, cluster analysis and logistic multiple regression analysis. Results of cluster analysis revealed five different patterns of family supplementary education expense with relatively even proportion of families allocated to each pattern. The five education expenditure patterns were arts education dominant; other education dominant; gymnastics·clerical·computer education dominant; college entrance exam preparation dominant; and private tutoring dominant. Results of logistic regression analysis showed that the possibility of being in a pattern affected by various family socioeconomic variables. Important factors affecting there patterns were children’s schooling stage, residence, and mother’s education.

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Support Vector Machine Learning for Region-Based Image Retrieval with Relevance Feedback

  • Kim, Deok-Hwan;Song, Jae-Won;Lee, Ju-Hong;Choi, Bum-Ghi
    • ETRI Journal
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    • v.29 no.5
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    • pp.700-702
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    • 2007
  • We present a relevance feedback approach based on multi-class support vector machine (SVM) learning and cluster-merging which can significantly improve the retrieval performance in region-based image retrieval. Semantically relevant images may exhibit various visual characteristics and may be scattered in several classes in the feature space due to the semantic gap between low-level features and high-level semantics in the user's mind. To find the semantic classes through relevance feedback, the proposed method reduces the burden of completely re-clustering the classes at iterations and classifies multiple classes. Experimental results show that the proposed method is more effective and efficient than the two-class SVM and multi-class relevance feedback methods.

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Classified by the External Characteristics of Caves (동굴외부 특성에 따른 유형 분류)

  • Shin, Dong-Won;Jung, Kyu-Whan;Jo, Yong-Ho
    • Journal of the Speleological Society of Korea
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    • no.92
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    • pp.49-54
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    • 2009
  • Classified by the characteristics of caves, without academic basis, was used by multiple variables of external characteristics of caves, such as accommodation, nearby attractions, number of restaurants & supporting cities. It used cluster analysis as an analysis technique. It is classified in 5 different typesby the results of the analysis, and the results say that the diverse classification of visitors' demand is possible.