• Journal of computational fluids engineering
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• v.4 no.3
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• pp.12-20
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• 1999

The computations of the flowfield and pollutant dispersion over a flat plate and the Russian hills of various slopes are described. The Gaussian plume and the puff model have been used to calculate concentration of pollutant. The Reynolds-averaged unsteady incompressible Navier-Stokes equation with low Reynolds κ-ε model has been used to calculate the flowfield. The flow data of a flat plate and the Russian hills from Navier-Stokes equation solutions has been used as the input data for the puff model. The computational results of flowfield agree well with experimental results of both a flat plate and Russian hills. The concentration prediction by the Gaussian plume model and the Gaussian puff model also agrees flirty well with experiments.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2011.04a
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• pp.57-60
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• 2011

Updating model parameters are required in order to simulate the actual behavior of the dynamic structure. A new strategy, mean-iterative neural networks (MINNs) has been proposed in this paper for model parameter updating of a steel box girder bridge. With new strategy for structural dynamic model updating, it offers many advantages such as potential savings of computational effort, more consistent in reaching convergence. The dynamic response obtained from the experimental test on a two span continuous bridge is used as the target for model updating. And the presented algorithm is applied to update the model parameters. These results show a good possible of using MINNs in practice for dynamic model updating.

• Communications for Statistical Applications and Methods
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• v.25 no.4
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• pp.431-442
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• 2018

This paper highlights the computational explosion issues in the autoregressive moving average approach of frequency estimation of sinusoidal data with a large sample size. A new algorithm is proposed to circumvent the computational explosion difficulty in the conditional least-square estimation method. Notice that sinusoidal pattern can be generated by a non-invertible non-stationary autoregressive moving average (ARMA) model. The computational explosion is shown to be closely related to the non-invertibility of the equivalent ARMA model. Simulation studies illustrate the computational explosion phenomenon and show that the proposed algorithm can efficiently overcome computational explosion difficulty. Real data example of sunspot number is provided to illustrate the application of the proposed algorithm to the time series data exhibiting sinusoidal pattern.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1998.10a
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• pp.362-369
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• 1998

The computational environment in which engineers perform their designs has been rapidly evolved from coarse serial machines to massively parallel machines. Although the recent development of high-performance computers are available for a number of years, only limited successful applications of the new computational environments in computational structural engineering field has been reported due to its limited availability and large cost associated with high-performance computing. As a new computational model for high-performance engineering computing without cost and availability problems, parallel structural analysis models for large scale structures on a network of personal computers (PCs) are presented in this paper. In structural analysis solving routine for the linear system of equations is the most time consuming part. Thus, the focus is on the development of efficient preconditioned conjugate gradient (PCG) solvers on the proposed computational model. Two parallel PCG solvers, PPCG-I and PPCG-II, are developed and applied to analysis of large scale space truss structures.

• Journal of the Korea Society of Computer and Information
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• v.23 no.9
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• pp.133-139
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• 2018

This paper draws attention on the importance of computational thinking, which is being utilized more and more in recent educational environment. Also, it suggests a teaching and learning model for improving computational thinking within early childhood education. With the advent of the Fourth Industrial Revolution, this era demands people to possess integrative thinking and problem-solving skills. As a result, education on computational thinking is done beginning from the early childhood, enabling children to take the leading part in the future digital generation. However, despite the appearance of many education services and products regarding computational thinking, the field lacks evaluation and academic verification. Thus, this study will complement the methodological aspect of computational thinking.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1992.10a
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• pp.133-138
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• 1992

The three dimensional analysis of Framed-Tube structures is neither easy nor efficient because of longer computational time, large memory requirement, tedious input preparation and bulky output. An efficient analysis model for framed-tube structure is proposed in this study. The proposed model can save the computational effort by using the assumption of the rigid floor diaphragm effect and matrix condensation technique. Moreover, it is develpoed by assembling two dimensional frames using the link degrees of freedom which are temporary used to satisfy the vertical displacement compatibility at the corners of a framed-tube. The accuracy and the efficiency of this analytical model is established by comparing with the results using the computer code SAPIV which is based on the three dimensional finite element model.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2008.04a
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• pp.203-208
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• 2008

Recently, high-rise building structures connected by a sky-bridge are frequently constructed. To predict accurate dynamic responses of structures connected a sky-bridge, time history analysis is required. Repetitive analyses are required in the design process. If the entire structure model is employed in the repetitive time history analysis, it would take a lot of computational time and engineers' efforts. Therefore, an equivalent model for high-rise building structures connected by a sky-bridge was proposed in this study. The proposed model consists of cantilever having original structure's stiffnesses and masses. Based on the analytical results, it has been shown that the equivalent model can reduce the analysis time and provide similar seismic responses to the original model.

• Journal of the Korean Society of Safety
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• v.20 no.3 s.71
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• pp.174-179
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• 2005

In this paper, a computational model for nonlinear crack damage analysis of concrete gravity dam-foundation boundary region subjected to earthquake loading is suggested. An enhanced model based on the Lee-Fenves plastic-damage model is used as the inelastic material model for a concrete dam structure and rock foundation. The suggested model is implemented numerically and used for computational earthquake simulation of Koyna dam, which was severly damaged from the strong earthquake in 1967. From the numerical result it is demonstrated that the suggested computational model can realistically represent crack initiation and propagation in the dam-foundation boundary region.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2007.04a
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• pp.411-414
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• 2007

The confinement-shear lattice(CSL) model for hardened concretes developed by Cusatis is extended for early age concretes. The uniaxial behaviors available in the literature for 3 to 28 days were simulated by the CSL model to identify the change of the model parameters for various ages. The change with respect to the age was interpolated based on the chemomechanics to develop the extended version of CSL model.

• Journal of The Korean Association of Information Education
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• v.17 no.1
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• pp.73-81
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• 2013

Elementary students are living in the information environment at daily. Also, they are learning the school curriculum lessons are based on information. Computational thinking that based on information from everyday life and the school curriculum is important. Until now, many educational materials for the computational thinking have been developed. But, teaching and learning method for computational thinking have not been developed. In the study, the teaching and learning model for computational thinking for elementary school students will be developed. Computational thinking education model proposed in this study consists of three phases. The first phase is the information gathering stage. The second phase is to perform calculations. The last phase is the decision-making steps. Effective teaching and learning methods that are proposed model in this study for computational thinking education will be used.