• Journal of Institute of Convergence Technology
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• v.5 no.2
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• pp.37-42
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• 2015

This paper presents the effects of the computational time-varying delay on the stability of the haptic system that includes a virtual wall and a first-order-hold method. The model of a haptic system includes a haptic device model with a mass and a damper, a virtual wall model, a first-order-hold model and a computational time-varying delay model. In this paper, the maximum of the computational time-varying delay is assumed to be as much as the sampling time. Using the simulation, it is analyzed how the sample-hold methods and the computational time-varying delay affect the maximum available stiffness. As the maximum of computational time-varying delay increases, the maximal available stiffness of a virtual wall model is reduced.

• 한국정보교육학회:학술대회논문집
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• 2011.01a
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• pp.47-51
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• 2011

The aim of Information Education is to improve the problem-solving skills based on Computational Thinking. In the current elementary school curriculum, there is no independent information subject. So, it will get used to browse the sub-element being applied implications for Computational Thinking through an analysis of teaching and leaning elementary mathematic scene. In this paper reveal the relationship sub-element of the Computational Thinking for solving problems through teaching and learning scene in elementary mathematics.

• 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.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2007.04a
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• pp.719-724
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• 2007

Many engineering problems often require the large amount of computing resources for iterative simulations of problems treating many parameters and input files. In order to overcome the situation, this paper proposes an e-Science based computational system. The system exploits the Grid computing technology to establish an integrated web service environment which supports distributed high throughput computational simulations and remote executions. The proposed system provides an easy-to-use parametric study service where a computational service includes real time monitoring. To verify usability of the proposed system, two kinds of applications were introduced. The first application is an Aerospace Integrated Research System (e-AIRS). The e-AIRS adapts the proposed computational system to solve CFD problems. The second one is design and optimization of protein 3-dimensional structures.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11a
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• pp.233-236
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• 2002

Computational steering system은 계산 및 응용 과학자들이 컴퓨터를 이용해서 보다 효과적이고 효율적인 방법으로 시뮬레이션을 진행하고 제어하기 위해서 제안되었다. 하지만 시간이 흐를수록 시뮬레이션의 규모가 커지면서 단일 컴퓨터 시스템으로 시뮬레이션을 수행하는 것이 어렵게 되었다. 이 문제를 해결하기 위해서 최근 새로운 형태의 슈퍼컴퓨팅 환경으로 주목받기 시작한 그리드와 computational steering system을 연계하는 방법에 대한 연구가 진행되고 있다. 본 논문에서는 computational steering system의 개념과 함께 그리드에서 운용 가능한 대표적인 computational steering system을 소개하고 KISTI 슈퍼컴퓨팅센터에서 구축하고 있는 국가 그리드 기반인 N* Grid를 위한 computational steering system의 구현 방향을 제시하고자 한다.

• 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 Korea Information Processing Society Conference
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• 2013.11a
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• pp.1699-1701
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• 2013

최근 프로그래밍 교육이 새로운 방식의 사고력을 길러준다는 점에서 컴퓨터 공학 전공자뿐 아니라 일반인에게도 그 중요성이 강조되고 있다. 이러한 추세에 따라 프로그래밍 교육을 통해 길러지는 새로운 사고 과정인 computational thinking 관련 연구가 다양하게 시도되고 있다. 그러나 대부분의 연구가 특정 프로그래밍 언어에 의존적인 평가도구를 개발하여 측정하고 있으며 프로그래밍 경험 자체가 일상생활에서 일어나는 현상의 문제 해결을 위한 computational thinking에 영향을 주었는지를 연구한 결과는 아직 명확히 알려진 바가 없다. 따라서 본 연구는 프로그래밍 경험 유무에 따라 computational thinking에 차이가 있는가를 알아보았으며 그 결과 프로그래밍 경험이 있는 학생이 일상에서 일어나는 복잡한 문제를 더 논리적이고 상세하게 추상화하고, 구조화를 통해 더 명확한 모델링을 하였음을 알 수 있었다. 결론적으로 프로그래밍 경험 유무에 따라 computational thinking의 차이가 있음을 알 수 있었으며, computational thinking의 함양을 위해 프로그래밍 교육이 도움이 될 것으로 기대할 수 있다.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1988.10a
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• pp.1-6
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• 1988

In this study, the current progress in computational structural engineering and research trends are discussed. The development of new finite elements, error analysis and adaptive mesh generation, material constitutive model, boundary element methods, structural optimal design, hardware/software, AI application and expert systems are particularly emphasized. The rapid development in computer technologies provides good environment for the technical advancement in computational structural engineering.

• 제어로봇시스템학회:학술대회논문집
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• 1990.10a
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• pp.529-533
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• 1990

This paper treats the computational time delay issue in designing digital control systems. The computational time delay margin, within which the closed-loop stability is guaranteed, is analyzed using Rouche theorem. A PID control algorithm is proposed for compensating the computational time delay. Finally, the analyzed and the exact computational time delay margins are compared, and the performance of the proposed PID controller is shown through an illustrative example.