• Title/Summary/Keyword: Two-way BSS

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Geometrical Parametric Study on Two-Way Beam String Structures (양방향 BSS 구조의 형상 매개 변수 연구)

  • Lee, Seunghye;Seo, Minhee;Park, Sangeun;Kim, Sun-Myung;Lee, Kihak;Lee, Jaehong
    • Journal of Korean Association for Spatial Structures
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    • v.19 no.3
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    • pp.69-76
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    • 2019
  • A Beam String Structure (BSS) is a type of hybrid structures, which is composed of upper structural members, lower strings, and struts. Due to the advantages that the pre-tensioned strings elicit pre-caber of the upper structural members, the deflection can be greatly reduced without increasing the structural member size. In this study, a two-way beam string structure is proposed to endure bi-directional loading. The two-way beam string structure consists of two cable parts, namely, sagging and arch-shaped cables. A parametric study is presented aimed at proposing design guide lines of the two-way beam string structures. Numerical finite element analyses through the ABAQUS package were implemented to obtain their behaviors.

A Statistical Approaching about Characteristics of Galactic Open Clusters from the perspective of Blue Straggler Formation Environments

  • Lee, Hyun-Uk;Chang, Heon-Young
    • The Bulletin of The Korean Astronomical Society
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    • v.41 no.2
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    • pp.59.1-59.1
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    • 2016
  • Blue Straggler Stars(BSS) affect their host star cluster in various parameters like color, dynamics, etc. For this reason, it is important to know how to relate BSS frequency and evolution of their host stellar system. To statistical study about global properties of open clusters as the environments of BSS formation, we use three catalogues - (1) two galactic open clusters catalogues including BSS candidate, (2) Milky Way Star Cluster (MWSC) survey data. Then, we compare with the data of two BSS catalogues for test of the result of Marchi et al. 2006. We also investigate the radial mass distribution in open cluster, because it is possible that changing the gradient of radial mass distribution cause increasing the BSS frequency. When we group the open cluster into having BSS or not and other criteria, the groups show slight discrepancies, but we show some important results.

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Variable Blue Stragglers in the Metal-Poor Globular Clusters in the Large Magellanic Cloud - Hodge 11 and NGC1466

  • Yang, Soung-Chul;Bhardwaj, Anupam
    • The Bulletin of The Korean Astronomical Society
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    • v.46 no.1
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    • pp.35.2-35.2
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    • 2021
  • Blue straggler stars (BSs) are "rejuvenated" main sequence stars first recognized by Allan Sandage from his observation of the prominent northern globular cluster M3 in the year of 1953. BSs are now known to be present in diverse stellar environments including open clusters, globular clusters, dwarf galaxies, and even the field populations of the Milky Way. This makes them a very useful tool in a wide range of astrophysical applications: Particularly BSs are considered to have a crucial role in the evolution of stellar clusters because they affect on the dynamics, the binary population, and the history of the stellar evolution of the cluster they belong to. Here we report a part of the preliminary results from our ongoing research on the BSs in the two metal-poor globular clusters (GCs) in the Large Magellanic Cloud (LMC), Hodge 11 and NGC1466. Using the high precision multi-band images obtained with the Advanced Camera for Survey (ACS) onboard the Hubble Space Telescope (HST), we extract time-series photometry to search for the signal of periodic variations in the luminosity of the BSs. Our preliminary results confirm that several BSs are intrinsic "short period (0.05 < P < 0.25 days)" variable stars with either pulsating or eclipsing types. We will discuss our investigation on the properties of those variable BS candidates in the context of the formation channels of these exotic main sequence stars, and their roles in the dynamical evolution of the host star clusters.

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Sparse Kernel Independent Component Analysis for Blind Source Separation

  • Khan, Asif;Kim, In-Taek
    • Journal of the Optical Society of Korea
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    • v.12 no.3
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    • pp.121-125
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    • 2008
  • We address the problem of Blind Source Separation(BSS) of superimposed signals in situations where one signal has constant or slowly varying intensities at some consecutive locations and at the corresponding locations the other signal has highly varying intensities. Independent Component Analysis(ICA) is a major technique for Blind Source Separation and the existing ICA algorithms fail to estimate the original intensities in the stated situation. We combine the advantages of existing sparse methods and Kernel ICA in our technique, by proposing wavelet packet based sparse decomposition of signals prior to the application of Kernel ICA. Simulations and experimental results illustrate the effectiveness and accuracy of the proposed approach. The approach is general in the way that it can be tailored and applied to a wide range of BSS problems concerning one-dimensional signals and images(two-dimensional signals).

Base Station Cooperation Scheme for Low-Latency Two-Way Communication (저지연 양방향 통신을 위한 기지국 협력 전송)

  • Kim, Dong Min
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.6
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    • pp.751-758
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    • 2020
  • As the application fields using various types of communication, including the Internet of Things, have emerged, the form of communication has been diversified. Some applications require fast feedback and the others continue to send data regardless of whether it is received or not. Transmitting data in one way can be acknowledged by the opposite direction response. These information exchanges form a two-way communication. For applications that need to issue commands remotely, such as network control systems, it is important to give a fast response because the sender decides the next action based on the response from the recipient. In this paper, we propose the base station (BS) cooperation to improve the latency performance of the two-way communication in cellular networks. We design the two-way communication strategy utilizing cooperating BSs with the same direction of traffic as well as bidirectional traffic. We show that the proposed scheme improves the latency performance than the previous works.

Dynamic Inter-Cell Interference Avoidance in Self-Organizing Femtocell Networks (자가구성 펨토셀의 동적 셀간간섭 회피 기법)

  • Park, Sang-Kyu;Bahk, Sae-Woong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.3A
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    • pp.259-266
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    • 2011
  • Femtocells are expected as the surest way to increase the system capacity with higher-quality links and more spatial reuse in future networks. In spite of their great potential, the system capacity is highly susceptible to network density because a large portion of users are exposed to inter-cell interference (ICI). In this work, we proposed a dynamic interference avoidance scheme in densely deployed cell environments. Our proposed DDIA (Distributed Dynamic ICI Avoidance) scheme not only works in a fully distributed manner, but also controls interference link connectivity of users with high agility so that it is suited for self-organizing networks (SONs). We introduced the concept of ICI-link and two-tier scheduling in designing the DDIA scheme. To avoid ICI without any central entity, our scheme tries to harmonize all base stations (BSs) with users adaptively. Through extensive simulations, it was shown that our proposed scheme improves the throughput of users by more than twice on average compared to the frequency reuse factor 1 scheme, who are exposed to ICI while maintaining or even improving overall network performance. Our scheme operates well regardless of network density and topology.

A RSS-Based Localization for Multiple Modes using Bayesian Compressive Sensing with Path-Loss Estimation (전력 손실 지수 추정 기법과 베이지안 압축 센싱을 이용하는 수신신호 세기 기반의 위치 추정 기법)

  • Ahn, Tae-Joon;Koo, In-Soo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.1
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    • pp.29-36
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    • 2012
  • In Wireless Sensor Network(WSN)s, the detection of precise location of each node is essential for utilizing sensing data acquired from sensor nodes effectively. Among various location methods, the received signal strength(RSS) based localization scheme is mostly preferable in many applications because it can be easily implemented without any additional hardware cost. Since a RSS-based localization scheme is mainly affected by radio channel or obstacles such as building and mountain between two nodes, the localization error can be inevitable. To enhance the accuracy of localization in RSS-based localization scheme, a number of RSS measurements are needed, which results in the energy consumption. In this paper, a RSS based localization using Bayesian Compressive Sensing(BSS) with path-loss exponent estimation is proposed to improve the accuracy of localization in the energy-efficient way. In the propose scheme, we can increase the adaptative, reliability and accuracy of localization by estimating the path-loss exponents between nodes, and further we can enhance the energy efficiency by the compressive sensing. Through the simulation, it is shown that the proposed scheme can enhance the location accuracy of multiple unknown nodes with fewer RSS measurements and is robust against the channel variation.