• Title/Summary/Keyword: Computational Analysis

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Analysis of Scratch code for Student Assessment about Computational Thinking Capability (Computational Thinking 역량에 대한 학습자 평가를 위한 스크래치 코드 분석)

  • Kim, Soohwan
    • The Journal of Korean Association of Computer Education
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    • v.18 no.5
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    • pp.25-34
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    • 2015
  • The purpose of this research is to suggest the method of code analysis for evaluating learners' projects in computational thinking(CT) education. Recently, block programming tools are applied to K-12 SW education, this study considered the assessment method for evaluating students' levels and learning about CT concepts through analyzing codes of the Scratch projects that students created. As a result from the analysis of 45 projects of novices, it showed the bad coding patterns of novices and verified that it is possible to evaluate students' learning about CT concepts through the analysis of their codes. The higher learner's level, the greater scores of logical thinking, synchronization, flow control, and data representation. This result is able to apply to student assessment of CT concepts in K-12 SW education.

Inverse Design For a Airfoil Using Optimizing Method (최적화기법을 이용한 익형의 역설계)

  • Kim Jong-seub;Park Warn-gyu
    • 한국전산유체공학회:학술대회논문집
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    • 1997.10a
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    • pp.126-130
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    • 1997
  • A new and efficient method is presented for design optimization, which is based on a computational fluid dynamics (CFD). The method is applied to design an airfoil configuration. The Navier-Stokes equations are solved for the viscous analysis of the flow, which provides the object function. The CFD analysis is then coupled with the optimization procedure that used a conjugate gradient method. During the one-dimensional search of the optimization procedure, an approximate flow analysis based on a first-order Taylor series expansion is used to reduce the computational cost, (This study is supported by Korean Ministry of Education through Research Fund)

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A Comparative Study of Efficient Transient Analysis Algorithm for Parabolic Equations (Parabolic 방정식의 효율적인 시간해석 알고리즘에 대한 비교연구)

  • 최창근;이은진;유원진
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 1998.04a
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    • pp.68-74
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    • 1998
  • A finite element analysis for physical phenomenon which are governed by parabolic equation, has some inefficiencies caused by much computational time and large storage space. In this paper, a comparative study is performed to suggest the best efficient transient analysis algorithms for parabolic equations. First, the general finite element analysis techniques are summarized in views of formulation procedures, treatments of convection terms. and time stepping methods. Results of several combinations applied to one dimensional convection-diffusion equation and Burger equation are represented and compared using some criteria such as accuracy, stability, and computational time. Through the results, some guidelines to select a algorithm for solving parabolic equations are proposed for diffusion dominant and convection dominant cases. Finally applicability of two dimensional extension of the result is also discussed.

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Review of Computational Methods for Space-time Reactor Kinetics

  • Chae, Sung-Ki
    • Nuclear Engineering and Technology
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    • v.11 no.3
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    • pp.219-229
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    • 1979
  • The current status of the computational methods and computer codes for the analysis of reactor kinetics is reviewed. Computational methods which have been developed for space-dependent transient analyses are presented and recent progress in the development of methods is discussed.

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Development of Pre- and Post-processing System for Supercomputing-based Large-scale Structural Analysis (슈퍼컴퓨팅 기반의 대규모 구조해석을 위한 전/후처리 시스템 개발)

  • Kim, Jae-Sung;Lee, Sang-Min;Lee, Jae-Yeol;Jeong, Hee-Seok;Lee, Seung-Min
    • Korean Journal of Computational Design and Engineering
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    • v.17 no.2
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    • pp.123-131
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    • 2012
  • The requirements for computational resources to perform the structural analysis are increasing rapidly. The size of the current analysis problems that are required from practical industry is typically large-scale with more than millions degrees of freedom (DOFs). These large-scale analysis problems result in the requirements of high-performance analysis codes as well as hardware systems such as supercomputer systems or cluster systems. In this paper, the pre- and post-processing system for supercomputing based large-scale structural analysis is presented. The proposed system has 3-tier architecture and three main components; geometry viewer, pre-/post-processor and supercomputing manager. To analyze large-scale problems, the ADVENTURE solid solver was adopted as a general-purpose finite element solver and the supercomputer named 'tachyon' was adopted as a parallel computational platform. The problem solving performance and scalability of this structural analysis system is demonstrated by illustrative examples with different sizes of degrees of freedom.