• Title/Summary/Keyword: large-scale

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Privacy Enhanced Data Security Mechanism in a Large-Scale Distributed Computing System for HTC and MTC

  • Rho, Seungwoo;Park, Sangbae;Hwang, Soonwook
    • International Journal of Contents
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    • v.12 no.2
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    • pp.6-11
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    • 2016
  • We developed a pilot-job based large-scale distributed computing system to support HTC and MTC, called HTCaaS (High-Throughput Computing as a Service), which helps scientists solve large-scale scientific problems in areas such as pharmaceutical domains, high-energy physics, nuclear physics and bio science. Since most of these problems involve critical data that affect the national economy and activate basic industries, data privacy is a very important issue. In this paper, we implement a privacy enhanced data security mechanism to support HTC and MTC in a large-scale distributed computing system and show how this technique affects performance in our system. With this mechanism, users can securely store data in our system.

Large-Scale Graphene Production Techniques for Practical Applications

  • Bae, Sukang;Lee, Seoung-Ki;Park, Min
    • Applied Science and Convergence Technology
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    • v.27 no.5
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    • pp.79-85
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    • 2018
  • Many studies have been conducted on large-scale graphene synthesis by chemical vapor deposition. Furthermore, numerous researchers have attempted to develop processes that can continuously fabricate uniform and high-quality graphene. To compete with other types of carbon materials (carbon black, carbon fiber, carbon nanotubes, and so on), various factors, such as price, mass manufacturing capability, and quality, are crucial. Thus, in this study, we examine various large-scale graphene production methods focusing on cost competitiveness and productivity improvements for applications in various fields.

Cooperative Coevolution Differential Evolution Based on Spark for Large-Scale Optimization Problems

  • Tan, Xujie;Lee, Hyun-Ae;Shin, Seong-Yoon
    • Journal of information and communication convergence engineering
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    • v.19 no.3
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    • pp.155-160
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    • 2021
  • Differential evolution is an efficient algorithm for solving continuous optimization problems. However, its performance deteriorates rapidly, and the runtime increases exponentially when differential evolution is applied for solving large-scale optimization problems. Hence, a novel cooperative coevolution differential evolution based on Spark (known as SparkDECC) is proposed. The divide-and-conquer strategy is used in SparkDECC. First, the large-scale problem is decomposed into several low-dimensional subproblems using the random grouping strategy. Subsequently, each subproblem can be addressed in a parallel manner by exploiting the parallel computation capability of the resilient distributed datasets model in Spark. Finally, the optimal solution of the entire problem is obtained using the cooperation mechanism. The experimental results on 13 high-benchmark functions show that the new algorithm performs well in terms of speedup and scalability. The effectiveness and applicability of the proposed algorithm are verified.

The Influence of Light Reduction on the Growth of Microcystis aeruginosa and Variation of Environmental and Chemical Parameters in Large-scale Cultivation System

  • Yang, Taehui;Cho, Ja-young;Kang, Ha-jin;Lee, Chang Soo;Kim, Eui-jin
    • Korean Journal of Ecology and Environment
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    • v.53 no.4
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    • pp.336-343
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    • 2020
  • Large-scale cultivation of Microcystis aeruginosa in different light conditions was conducted for verifying the cell growth in a greenhouse system. Environmental and chemical parameters of the large-scale culture medium were measured for analyzing the interaction between M. aeruginosa and its symbiotic bacteria. During cultivation, a difference in cell growth pattern was observed between control (natural light) and light-limited groups (reduction of blue, green, and blue/green light, respectively). Comparing the control group, the light reduced groups showed slow and delayed cell growth through the cultivation period. Also, there is differences in the consuming pattern of total nitrogen and total phosphorus which indicated that the possibility of interaction between M. aeruginosa and symbiotic bacteria.

Phas-space Analysis of Halos around Large-scale Filamentary Structures

  • Jhee, Hannah;Song, Hyunmi;Smith, Rory;Shin, Jihye;Park, Inkyu
    • The Bulletin of The Korean Astronomical Society
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    • v.45 no.1
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    • pp.64.3-65
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    • 2020
  • It has been studied that galaxies evolve following a typical trajectory on the phase space under the influence of deep gravitational potential of galaxy clusters. Similarly, the large-scale filaments could also affect the evolution of galaxies before falling into the clusters. In this study, using a dark matter-only cosmological simulation, N-Cluster Run, we explore the evolution of galaxies on the phase space drien by large-scale filaments. We find that galaxies around the filaments form a common trajectory on the phase space as well as cluster galaxies do. We also examine how these trajectories change depending on various physical parameters such as galaxy mass, initial distance of galaxies from large-scale filaments, and cluster mass.

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DEVELOPMENT OF INFORMATION FLOW RETRIEVAL SYSTEM FOR LARGE-SCALE AND COMPLEX CONSTRUCTION PROJECTS

  • Jinho Shin;Hyun-soo Lee;Moonseo Park;Kwonsik Song
    • International conference on construction engineering and project management
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    • 2013.01a
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    • pp.648-651
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    • 2013
  • The information generated in large-scale and complex construction projects are transferred continuously and transformed into project products on the long span life cycle. Therefore, information flow management is related with the success of project directly. However, certain characteristics of large-scale and complex construction projects make the solving the problem more difficultly. Although several information retrieval systems support the information management system, it is not suitable to grasp information flows. Hence, we developed an information retrieval system specialized with the information flow based on a preceding research. The system consists of a relation-based database and the process information transferring relation inference application module. The system enables project managers to manage the entire project process more efficiently and each project member to work their own task being served the information flow retrieval results.

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FPGA-Based Real-Time Multi-Scale Infrared Target Detection on Sky Background

  • Kim, Hun-Ki;Jang, Kyung-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.11
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    • pp.31-38
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    • 2016
  • In this paper, we propose multi-scale infrared target detection algorithm with varied filter size using integral image. Filter based target detection is widely used for small target detection, but it doesn't suit for large target detection depending on the filter size. When there are multi-scale targets on the sky background, detection filter with small filter size can not detect the whole shape of the large targe. In contrast, detection filter with large filter size doesn't suit for small target detection, but also it requires a large amount of processing time. The proposed algorithm integrates the filtering results of varied filter size for the detection of small and large targets. The proposed algorithm has good performance for both small and large target detection. Furthermore, the proposed algorithm requires a less processing time, since it use the integral image to make the mean images with different filter sizes for subtraction between the original image and the respective mean image. In addition, we propose the implementation of real-time embedded system using FPGA.

Sales Strategies for Eggs and Special Brand Eggs in Japan I. Meaning of Special Brand Egg Production to Poultry Farm Management and Its Economics (일본의 계란 판매전략과 특수란 I.특수란 생산의 경영적 의의와 경제성)

  • 장경만
    • Korean Journal of Poultry Science
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    • v.26 no.1
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    • pp.35-42
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    • 1999
  • According to the importance(production ratio) of special brand eggs, poultry farma can be classified into four types(Types I to IV). A close relation can be observed between these types and farm scale. Special brand eggs used to be the speciality of small-scale, suburban poultry farms. Recently, however, the production of these eggs has been adopted by medium and large farms, too, and is increasing throughout Japan. In particular, small-scale farms specializing in these eggs have attained a high profit and take a characteristic management from as opposed to large-scale poultry farming that adopts the \"small profit and quick returns\" strategy. Because of this, the meaning of special brand egg production to farm management differs according to farm scale. For small poultry farmers, it means securing a high profitability and for medium and large producers, improving the corporate image or meeting the needs for assortment of retailers.

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