• 한국전산유체공학회:학술대회논문집
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• 2006.10a
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• pp.210-210
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• 2006

IT technologies(Chips, Grid and e-Science) are rapidly changed from 1965. In 1965, Intel co-founder Gordon Mooresaq the future. His prediction popularly known as Moore's law, state that the computer chips double in power every 18 months Grid computing offers a model for solving massive computational problems by making use of the unused resources of large numbers of disparate, often desktop, computers treated as a virtual cluster embedded in a distributed telecommunications infrastructure. In this paper, I will discuss current status of supercomputing technology and haw we can use these on CFD. Functionally, one can classify Grids into several types:

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1998.04a
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• pp.229-236
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• 1998

Port structures are one of the important infrastructure of the nation. To ensure safety and extend lifetime of the existing port structures, it is necessary to develop proper maintenance program. In this study, port inspection manual for pier type structure are developed. The flow of inspection program is designed and defect type for each component of wharf is classified. Also systematic method of rating and evaluation is developed together with conceptual design of port maintenance data base system.

• Computers and Concrete
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• v.12 no.6
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• pp.739-754
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• 2013

Creep and shrinkage have pronounced effects on the long-term deflection of prestressed concrete members. Under repeated loading, the rate of creep in prestressed concrete members is often accelerated. In this paper, an iterative computational procedure based on the well known Model B3 for creep and shrinkage was developed to predict the time-dependent deflection of partially prestressed concrete members. The developed model was validated using the experimental observed deflection behavior of a simply supported partially prestressed concrete beam under repeated loading. The validated model was then employed to make predictions of the long-term deflection of the prestressed beams under a variety of conditions (e.g., water cement ratio, relatively humidity and time at drying). The simulation results demonstrate that ignoring creep and shrinkage could lead to significant underestimation of the long-term deflection of a prestressed concrete member. The model will prove useful in reducing the long-term deflection of the prestressed concrete members via the optimal selection of a concrete mix and prestressing forces.

• Electronics and Telecommunications Trends
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• v.33 no.5
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• pp.111-120
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• 2018

Agent-based modeling and simulation (ABMS) is a computational method for analyzing research targets through observations of agent-to-agent interactions, and can be applied to multidimensional policy experiments in various fields of social sciences to support policy and decision making. Recently, according to increasing complexity of society and the rapid growth of collected data, the need for high-speed processing is considered to be more important in this field. For this reason, in the ABMS research field, a scalable and large-scale computing infrastructure is becoming an essential element, and cloud computing has been considered a promising infrastructure of ABMS. This paper surveys the technology trends of ABMS tools, cloud computing-based modeling, and simulation studies, and forecasts the use of cloud-computing infrastructure for future modeling and simulation tools. Although fundamental studies are underway to apply and operate cloud computing in the areas of modeling and simulation, new and additional studies are required to devise an optimal cloud computing infrastructure to satisfy the needs of large-scale ABMS.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.2
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• pp.709-722
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• 2014

In the $21^{st}$ century, IT reform has led to the development of cyber-infrastructure owing to the outstanding enhancement of computer and network performance. The ripple effect has continued to increase. Accordingly, this study suggests a new computational research environment using mobile devices. In order to simplify the access of supercomputer, Science AppStore, task management and virtualization technologies are developed on mobile devices. User can be able to research by utilizing computational science SW such as compressible flow solver and nano device simulation tool that in installed on supercomputer in mobile environments. Also, this research environment makes it possible to monitor the simulation result and covers 14 university, 33 subjects, and 1,202 individuals.

• Advances in Computational Design
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• v.2 no.4
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• pp.273-281
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• 2017

In this work, a comparative study of multi-objective meta-heuristics (MOMHs) for optimum design of a walking tractor handlebar is conducted in order to reduce the structural mass and increase structural static and dynamic stiffness. The design problem has objective functions as maximising structural natural frequencies, minimising structural mass, bending deflection and torsional deflection with stress constraints. The problem is classified as a many-objective optimisation since there are more than three objectives. Design variables are structural shape and size. Several well established multi-objective optimisers are employed to solve the proposed many-objective optimisation problems of the walking tractor handlebar. The results are compared whereas optimum design solutions of the walking tractor handlebar are illustrated.

• Advances in Computational Design
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• v.4 no.3
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• pp.197-210
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• 2019

Motion generation of a four-bar linkage is a type of mechanism synthesis that has a wide range of applications such as a pick-and-place operation in manufacturing. In this research, the use of meta-heuristics for motion generation of a four-bar linkage is demonstrated. Three problems of motion generation were posed as a constrained optimization probably using the weighted sum technique to handle two types of tracking errors. A simple penalty function technique was used to deal with design constraints while three meta-heuristics including differential evolution (DE), self-adaptive differential evolution (JADE) and teaching learning based optimization (TLBO) were employed to solve the problems. Comparative results and the effect of the constraint handling technique are illustrated and discussed.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.4-7
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• 2022

작업배치스케줄러는 다수의 사용자에게 클러스터 시스템의 계산 자원을 효과적으로 제공하는 유용한 시스템 소프트웨어이다. 한국과학기술정보연구원에서는 작업배치스케줄러인 PBS와 SLURM을 이용하여 슈퍼컴퓨터 5호기 메인시스템인 누리온과 뉴론을 각각 공동활용서비스하고 있다. 본 논문에서는 뉴론의 제한된 계산자원을 다수의 연구자들에게 효율적으로 서비스하기 위해 SLURM 작업배치스케줄러의 공유노드 정책을 적용하는 방안과 작업통계 분석 기법을 소개한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.98-101
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• 2020

누리온 시스템은 한국과학기술정보연구원(KISTI) 국가슈퍼컴퓨팅센터에서 2018년 5번째로 구축하여 운영하고 있는 슈퍼컴퓨터이다. 본 논문에서는 전산구조공학 분야에서 많이 활용되고 있는 ABAQUS, NASTRAN 등과 같은 응용소프트웨어를 누리온 시스템에서 활용하기 위한 방법을 소개하고 간단한 전산구조공학 모델을 누리온 시스템과 기존에 운영되었던 슈퍼컴퓨터 4호기 신바람 시스템에서 ABAQUS를 이용하여 분석하고 성능을 비교한다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.36 no.5
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• pp.428-437
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• 2008

e-AIRS, an abbreviation of ‘e-Aerospace Integrated Research System’, is a virtual organization designed to support the aerospace engineering processes in the e-Science environment. As the first step toward a virtual aerospace engineering organization, the e-AIRS intends to give a full support to aerodynamic research processes. Currently, the e-AIRS can handle both the computational and experimental aerodynamic researches on the e-Science infrastructure. In detail, users can conduct the full CFD(Computational Fluid Dynamics) research processes, request wind tunnel experiments, perform the comparative analysis between computational and experimental resultants and finally collaborate with other researchers using the web portal. The current paper will describe those functions and the internal architecture of the e-AIRS system.