Open Access

ABSTRACT

Somchai Sriyab¹, Wannapong Triampo²
The International Conference on Computational & Experimental Engineering and Sciences, Vol.13, No.3, pp. 51-52, 2009, DOI:10.3970/icces.2009.013.051
Abstract Understanding of Bacteria cell division is essential for an understanding of microorganism as well as the origin of the life. Particularly, in cell division process of \emph {E. coli}, Min proteins (MinD and MinE) play crucial roles to regulate the dividing dynamics physically via their oscillatory dynamics from pole to pole. In this work, we have developed a numerical scheme based on the mesoscopic Lattice Boltzmann Method (LBM) to simulate the coarse-grained coupled reaction-diffusion equations model used to describe the MinD/MinE interaction in two dimensions. Biologically, we have focused on investigating how the protein copies More >

View

1020

Download

754

Open Access

ABSTRACT

Sitta Aroonnual Paisan Kanthang, Wannapong Triampo¹
The International Conference on Computational & Experimental Engineering and Sciences, Vol.13, No.3, pp. 53-54, 2009, DOI:10.3970/icces.2009.013.053
Abstract How does a cell successfully divide is one of very fundamental questions in biological and medical science especially concerning mechanism. With this regards, MinE proteins are very important for Escherichia coli cell division process because it supports FtsZ proteins to form at mid-cell which lead to cell division at that region. In this work, we quantitatively studied the physical properties of MinE protein clusters including pattern formations and dynamic motions using both theoretical and experimental approach. Experimentally, through the spot tracking technique (STT) and diffusion analysis, it was found that MinE globally performed oscillatory motion from… More >

View

1059

Download

739

Open Access

ABSTRACT

Z. Bittnar¹, B. Patzák¹, D. Rypl¹
The International Conference on Computational & Experimental Engineering and Sciences, Vol.13, No.3, pp. 55-56, 2009, DOI:10.3970/icces.2009.013.055
Abstract This paper deals with the design of framework for adaptive FEM analysis with dynamic load balancing in nondedicated parallel cluster computing environments. It describes in detail the structure and design of individual components of the framework.
The application of adaptivity paradigm to engineering problems results in computationally very demanding analysis in terms of both computational time and computer resources (memory, disk space, etc.). These demands can be alleviated by performing the analysis in a parallel computing environment. Typical parallel application decreases the demands on memory and other resources by spreading the task over several mutually… More >

View

1012

Download

691

Open Access

ABSTRACT

Hossein M. Shodja^{1, 2, 3}, Alireza Hashemian^{2, 4}
The International Conference on Computational & Experimental Engineering and Sciences, Vol.13, No.3, pp. 57-58, 2009, DOI:10.3970/icces.2009.013.057
Abstract Gradient reproducing kernel particle method (GRKPM) is a meshless technique which incorporates the first gradients of the function into the reproducing equation of RKPM. Therefore, in two-dimensional space GRKPM introduces three types of shape functions rather than one. The robustness of GRKPM's shape functions is established by reconstruction of a third-order polynomial. To enforce the essential boundary conditions (EBCs), GRKPM's shape functions are modified by transformation technique. By utilizing the modified shape functions, the weak form of the nonlinear evolutionary Buckley-Leverett (BL) equation is discretized in space, rendering a system of nonlinear ordinary differential equations More >

View

956

Download

736

Open Access

ABSTRACT

M.A. Arafin, J.A. Szpunar
The International Conference on Computational & Experimental Engineering and Sciences, Vol.13, No.3, pp. 59-60, 2009, DOI:10.3970/icces.2009.013.059
Abstract This paper introduce a novel approach for face image segmentation base on Voronoi Diagram (VD) technique. We used intensity value and region pixels value for enhance preprocessing step on gray-scale image. The method for locating and extraction face/head boundary are applied feature point of the original image which are useful dual tessellation of the VD is know as Delaunay Triangulation (DT). A target of experiment is reported face image segmentation that uses still face image from BioID database. The result of this method clearly demonstrates the segmentation which performs in comparison with another method in More >

View

1047

Download

714

Open Access

ABSTRACT

Shigenori Tanaka¹
The International Conference on Computational & Experimental Engineering and Sciences, Vol.13, No.3, pp. 61-62, 2009, DOI:10.3970/icces.2009.013.061
Abstract Recent developments in ab initio calculations for biomolecular systems such as proteins and nucleic acids are illustrated on the basis of the fragment molecular orbital (FMO) method. Examples of the calculated systems include nuclear receptors with small ligands, cAMP receptor protein complexed with DNA, influenza virus hemagglutinin complexes, and bioluminescent oxyluciferin-luciferase complex. Quantitative calculations with the inclusion of relevant electron correlation effects have well reproduced those experimental results concerning the binding affinity, the mutation effects, the emission spectra, and so on. Feasibility of massively parallel computations with the FMO method is also discussed. More >

View

923

Download

631

Open Access

ABSTRACT

Kenji Tsuruta¹
The International Conference on Computational & Experimental Engineering and Sciences, Vol.13, No.3, pp. 63-64, 2009, DOI:10.3970/icces.2009.013.063
Abstract Unique properties in artificially designed new materials are demonstrated via multiple-scale computational techniques. A density-functional/classical molecular-dynamics method is employed to investigate segregation dynamics of dopants in nanostructured ceramics/semiconductors. We also develop a classical electromagnetic simulation algorithm combining with an electronic-structure calculation for analysis on optical properties of meta-materials. We demonstrate that these novel algorithms are highly optimized for ultra-scale parallel computers. More >

View

1027

Download

685