• Title/Summary/Keyword: large-scale structure

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OBSERVATIONAL STATUS OF THE TEXTURE LARGE-SCALE STRUCTURE FORMATION MODEL

  • UMEDA HIDEYUKI;FREESE KATHERINE
    • Journal of The Korean Astronomical Society
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    • v.29 no.spc1
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    • pp.23-24
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    • 1996
  • We reexamined CDM texture large-scale structure (LSS) formation model. We confirmed that texture model is consistent with 4-year COBE data both in an open and a critical matter density (${\Omega}_0$ = 1) universes, and then obtained normalization for density perturbation power spectrum. We next compare the power spectrum with LSS observation data. Contrary to the previous literature, we found that texture model matches with these data in an open universe no better than in an ${\Omega}_0$ = 1 universe. We also found that the model is more likely to fit these data in a cosmological constant dominated ($\Lambda-$) universe.

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Clustering Algorithm of Hierarchical Structures in Large-Scale Wireless Sensor and Actuator Networks

  • Quang, Pham Tran Anh;Kim, Dong-Seong
    • Journal of Communications and Networks
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    • v.17 no.5
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    • pp.473-481
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    • 2015
  • In this study, we propose a clustering algorithm to enhance the performance of wireless sensor and actuator networks (WSANs). In each cluster, a multi-level hierarchical structure can be applied to reduce energy consumption. In addition to the cluster head, some nodes can be selected as intermediate nodes (INs). Each IN manages a subcluster that includes its neighbors. INs aggregate data from members in its subcluster, then send them to the cluster head. The selection of intermediate nodes aiming to optimize energy consumption can be considered high computational complexity mixed-integer linear programming. Therefore, a heuristic lowest energy path searching algorithm is proposed to reduce computational time. Moreover, a channel assignment scheme for subclusters is proposed to minimize interference between neighboring subclusters, thereby increasing aggregated throughput. Simulation results confirm that the proposed scheme can prolong network lifetime in WSANs.

A study Analysis of large-scale slope with complicated geological structure (복잡한 지질의 대규모사면 안정성연구)

  • 이수곤;손경철
    • Proceedings of the Korean Geotechical Society Conference
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    • 2002.10a
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    • pp.507-512
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    • 2002
  • Generally gneiss regions catagolized as metamorphic ground are very complicated and difficult for geotenical engineer to establish stability, this slopes include falt zone and many folding structures. therefore the slope in this study is very complicated and highly wheathered and framentation conditions are irregular by this study, we hope that geotechical engineers who are confronted with the same complicated slope as this slope are doing his job easily and they know which system are adequate to establish the slope stability in large-scale slope with complicated geological structure, and besides through our work flow and modeling process, we hope that our study can be useful for geotenical engineer who may work slope design and construct in complicated ground.

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FASTSOUND: PROBING THE ORIGIN OF COSMIC ACCELERATION BY GALAXY CLUSTERING AT z ~ 1.3 WITH SUBARU/FMOS

  • TOTANI, TOMONORI
    • Publications of The Korean Astronomical Society
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    • v.30 no.2
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    • pp.367-369
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    • 2015
  • The FastSound project is a galaxy redshift survey using Subaru/FMOS to detect $H{\alpha}$ emitting galaxies at z ~ 1:3, for the purpose of probing the origin of the accelerated expansion of the universe. The survey has detected ~4,000 galaxy redshifts in a total area of $30deg^2$, and detected the redshift space distortion at this redshift range for the first time. The redshift space distortion (RSD) signal will be used to derive a measurement of the growth rate of large scale structure, which will provide a test for modified gravity as a possible origin of accelerated cosmic explansion. Here we present an overview and the current status of the project.

A review and comparison of convolution neural network models under a unified framework

  • Park, Jimin;Jung, Yoonsuh
    • Communications for Statistical Applications and Methods
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    • v.29 no.2
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    • pp.161-176
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    • 2022
  • There has been active research in image classification using deep learning convolutional neural network (CNN) models. ImageNet large-scale visual recognition challenge (ILSVRC) (2010-2017) was one of the most important competitions that boosted the development of efficient deep learning algorithms. This paper introduces and compares six monumental models that achieved high prediction accuracy in ILSVRC. First, we provide a review of the models to illustrate their unique structure and characteristics of the models. We then compare those models under a unified framework. For this reason, additional devices that are not crucial to the structure are excluded. Four popular data sets with different characteristics are then considered to measure the prediction accuracy. By investigating the characteristics of the data sets and the models being compared, we provide some insight into the architectural features of the models.

A Feasibility Study of Seismic Isolation for Wolsong Reactor Building

  • Kim, Kang-Soo;Kim, Tae-Wan;Lee, Jeong-Yoon
    • Nuclear Engineering and Technology
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    • v.30 no.2
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    • pp.83-90
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    • 1998
  • To predict effects of seismic isolation, seismic isolation bearings were applied to the Wolsong reactor building and the analytical study was performed. For this study, the Wolsong reactor building was modeled using lumped masses and beam elements. Design Basis Earthquake with a ground acceleration of 0.2g was applied. And then, the behavior of the isolated structure was compared with that of the unisolated structure. The horizontal response acceleration at the top of the unisolated reactor building was 0.99g, while that of the isolated one was 0.14g(15% damping) and the acceleration response along the height of the structure was constant. The maximum displacement of the unisolated structure was 8.3mm, while that of the isolated structure was 66mm. The application of isolation bearings on the reactor building reduces seismic loads but increases the displacement of the structure on a large scale. Therefore, when using isolation bearings, the reactor building and BOP should be located on a common mat to cover the large displcement.

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A Case Study on Explosive Demolition of a Large Section Turbine Foundation Structure (대단면 터빈기초 구조물의 발파해체 시공사례)

  • Park, Hoon;Nam, Sung-Woo;Noh, You-Song;Suk, Chul-Gi
    • Explosives and Blasting
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    • v.40 no.3
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    • pp.54-65
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    • 2022
  • Recently, the demand for the dismantling of large-scale industrial structures is increasing, and the construction of restoring the dismantled industrial to their original natural environment is underway. This case was an application of the explosive demolition method to the demolition of a large section turbine foundation structure which structural obsolescence and failure to meet functional requirements. As a result of the explosive demolition, the fracture condition of the turbine foundation was satisfactory, and the explosive demolition was completed without causing any damage to the surrounding facilities.

Efficient Data Management for Finite Element Analysis with Pre-Post Processing of Large Structures (전-후 처리 과정을 포함한 거대 구조물의 유한요소 해석을 위한 효율적 데이터 구조)

  • 박시형;박진우;윤태호;김승조
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2004.04a
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    • pp.389-395
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    • 2004
  • We consider the interface between the parallel distributed memory multifrontal solver and the finite element method. We give in detail the requirement and the data structure of parallel FEM interface which includes the element data and the node array. The full procedures of solving a large scale structural problem are assumed to have pre-post processors, of which algorithm is not considered in this paper. The main advantage of implementing the parallel FEM interface is shown up in the case that we use a distributed memory system with a large number of processors to solve a very large scale problem. The memory efficiency and the performance effect are examined by analyzing some examples on the Pegasus cluster system.

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