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  • Open Access


    Effects of boundary conditions on Min-Protein Oscillation in \emph {E. coli} using mesoscopic lattice Boltzmann method

    Waipot Ngamsaad, Wannapong Triampo1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.13, No.2, pp. 49-50, 2009, DOI:10.3970/icces.2009.013.049

    Abstract The Min-proteins oscillation in \emph {E. coli} has an essential role in controlling the accuracy placement of cell-division septum at the middle cell zone of the bacteria. This biochemical process has been successfully described by a set of reaction-diffusion equation at the macroscopic level [1]. Recently, a mesoscopic modeling by the lattice Boltzmann method (LBM) has been proposed to simulate the Min-proteins oscillation [2]. However, as pointed out by Zhang et al., the standard boundary conditions are not accuracy for a class of dispersion transport modeled by LBM [3]. In this present work, we investigated More >

  • Open Access


    Techniques of Digital Processing of Images for a System of Selection of Uchuva for Export by Means of Artificial Vision

    Osorio Rivera Fray León1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.7, No.2, pp. 63-76, 2008, DOI:10.3970/icces.2008.007.063

    Abstract In the development context of a project about a system of selection uchuva for export by means of artificial vision whose objective is to provide an electromechanical system to able to select uchuvas by searching on its physical appearance, some algorithms have been developed to extract the necessary details beginning with the image of the acquired fruit using a camera. As a result, it must be able to determine if the visualized uchuva presents some symptom (insects, fungus, and deterioration) that indicates if it should be discharged. More >

  • Open Access


    Envisioning Structure-Property Relationships at the Nano and Macro Scales: Graphics for Presentation and Insight

    Ronald D. Kriz1, Arun K. Nair2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.3, No.1, pp. 43-50, 2007, DOI:10.3970/icces.2007.003.043

    Abstract This article has no abstract. More >

  • Open Access


    Research on Robot Control Technology Based on Vision Localization

    Ruijiao Yin1, Jie Yang1,*

    Journal on Artificial Intelligence, Vol.1, No.1, pp. 37-44, 2019, DOI:10.32604/jai.2019.05815

    Abstract Based on the understanding of machine vision localization technology at home and abroad, this paper outlines the overall design of the system, and analyses the working principle and workflow of the robot with vision system in workpiece grinding. The hardware design of the system is introduced. The process of image processing is analyzed in detail, and the results of image processing are given. The basic parameters of camera imaging are taken as internal parameters. The camera calibration is obtained by rotation matrix R and translation parameter T. The coordinate transformation of camera coordinate system and More >

  • Open Access


    A Quantum Authorization Management Protocol Based on EPR-Pairs

    Yan Chang1,*, Shibin Zhang1, Lili Yan1, Guihua Han1, Haiquan Song1, Yan Zhang1, Xueyang Li1, Qirun Wang2

    CMC-Computers, Materials & Continua, Vol.59, No.3, pp. 1005-1014, 2019, DOI:10.32604/cmc.2019.06297

    Abstract Quantum authorization management (QAM) is the quantum scheme for privilege management infrastructure (PMI) problem. Privilege management (authorization management) includes authentication and authorization. Authentication is to verify a user’s identity. Authorization is the process of verifying that a authenticated user has the authority to perform a operation, which is more fine-grained. In most classical schemes, the authority management center (AMC) manages the resources permissions for all network nodes within the jurisdiction. However, the existence of AMC may be the weakest link of the whole scheme. In this paper, a protocol for QAM without AMC is proposed More >

  • Open Access


    Blending Basic Shapes By C-Type Splines and Subdivision Scheme

    Xiang Li1, Mei-E Fang1,2,*, QIan Qi2

    CMES-Computer Modeling in Engineering & Sciences, Vol.120, No.1, pp. 45-62, 2019, DOI:10.32604/cmes.2019.05659

    Abstract In this article, we adopt the C-type spline of degree 2 to model and blend basic shapes including conics and circle arcs. The C-type spline belongs to the ωB-spline category of splines that are capable of blending polynomial, trigonometric and hyperbolic functions. Commonly used basic shapes can be exactly represented by these types of splines. We derive explicit formulas for the convenience of modeling the basic curves. The entire blending curve is C1-continuous. In comparison with the existing best blending method by rational G2 splines, which are rational splines of degree 3, the proposed method allows simpler… More >

  • Open Access


    Geometrical Modeling of Cell Division and Cell Remodeling Based on Voronoi Tessellation Method

    Liqiang Lin1, Xianqiao Wang2, Xiaowei Zeng1,3

    CMES-Computer Modeling in Engineering & Sciences, Vol.98, No.2, pp. 203-220, 2014, DOI:10.3970/cmes.2014.098.203

    Abstract The Voronoi tessellation is employed to describe cellular patterns and to simulate cell division and cell remodeling in epithelial tissue. First, Halton sequence is utilized to generate the random generators of Voronoi cell points. The centroidal Voronoi cell center is obtained by probabilistic Lloyd's method and polygonal structure of cell distribution is modeled. Based on the polygonal shape of cells, the instantaneous mechanism of cell division is applied to simulate the cell proliferation and remodeling. Four kinds of single-cell division algorithms are designed with the consideration of cleavage angle. From these simulations, we find that… More >

  • Open Access


    A Revision of Relaxed Steepest Descent Method from the Dynamics on an Invariant Manifold

    Chein-Shan Liu1

    CMES-Computer Modeling in Engineering & Sciences, Vol.80, No.1, pp. 57-86, 2011, DOI:10.3970/cmes.2011.080.057

    Abstract Based-on the ordinary differential equations defined on an invariant manifold, we propose a theoretical procedure to derive a Relaxed Steepest Descent Method (RSDM) for numerically solving an ill-posed system of linear equations when the data are polluted by random noise. The invariant manifold is defined in terms of a squared-residual-norm and a fictitious time-like variable, and in the final stage we can derive an iterative algorithm including a parameter, which is known as the relaxation parameter. Through a Hopf bifurcation, this parameter indeed plays a major role to switch the situation of slow convergence to More >

  • Open Access


    Distant Supervised Relation Extraction with Cost-Sensitive Loss

    Daojian Zeng1,2, Yao Xiao1,2, Jin Wang2,*, Yuan Dai1,2, Arun Kumar Sangaiah3

    CMC-Computers, Materials & Continua, Vol.60, No.3, pp. 1251-1261, 2019, DOI:10.32604/cmc.2019.06100

    Abstract Recently, many researchers have concentrated on distant supervision relation extraction (DSRE). DSRE has solved the problem of the lack of data for supervised learning, however, the data automatically labeled by DSRE has a serious problem, which is class imbalance. The data from the majority class obviously dominates the dataset, in this case, most neural network classifiers will have a strong bias towards the majority class, so they cannot correctly classify the minority class. Studies have shown that the degree of separability between classes greatly determines the performance of imbalanced data. Therefore, in this paper we More >

  • Open Access


    Adversarial Learning for Distant Supervised Relation Extraction

    Daojian Zeng1,3, Yuan Dai1,3, Feng Li1,3, R. Simon Sherratt2, Jin Wang3,*

    CMC-Computers, Materials & Continua, Vol.55, No.1, pp. 121-136, 2018, DOI:10.3970/cmc.2018.055.121

    Abstract Recently, many researchers have concentrated on using neural networks to learn features for Distant Supervised Relation Extraction (DSRE). These approaches generally use a softmax classifier with cross-entropy loss, which inevitably brings the noise of artificial class NA into classification process. To address the shortcoming, the classifier with ranking loss is employed to DSRE. Uniformly randomly selecting a relation or heuristically selecting the highest score among all incorrect relations are two common methods for generating a negative class in the ranking loss function. However, the majority of the generated negative class can be easily discriminated from… More >

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