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  • Open Access

    ARTICLE

    A Graph-Based Reinforcement Learning Method with Converged State Exploration and Exploitation

    Han Li1, Tianding Chen2, *, Hualiang Teng3, Yingtao Jiang4

    CMES-Computer Modeling in Engineering & Sciences, Vol.118, No.2, pp. 253-274, 2019, DOI:10.31614/cmes.2019.05807

    Abstract In any classical value-based reinforcement learning method, an agent, despite of its continuous interactions with the environment, is yet unable to quickly generate a complete and independent description of the entire environment, leaving the learning method to struggle with a difficult dilemma of choosing between the two tasks, namely exploration and exploitation. This problem becomes more pronounced when the agent has to deal with a dynamic environment, of which the configuration and/or parameters are constantly changing. In this paper, this problem is approached by first mapping a reinforcement learning scheme to a directed graph, and the set that contains all… More >

  • Open Access

    ARTICLE

    Determination of the Thermodynamic Properties of Water and Steam in the p-T and p-S Planes via Different Grid Search Computer Algorithms

    Dugang Guo1, *

    FDMP-Fluid Dynamics & Materials Processing, Vol.15, No.4, pp. 419-430, 2019, DOI:10.32604/fdmp.2019.07831

    Abstract The role of different grid search computer algorithms for the determination of the thermodynamic properties of water and steam in the p-T and P-S planes has been investigated via experimental and analytical methods. The results show that the spline interpolation grid search algorithm and the power grid search algorithm are more efficient, stable and clear than other algorithms. More >

  • Open Access

    ARTICLE

    Efficient Solution of 3D Solids with Large Numbers of Fluid-Filled Pores Using Eigenstrain BIEs with Iteration Procedure

    Donghong He1, Hang Ma2, *

    CMES-Computer Modeling in Engineering & Sciences, Vol.118, No.1, pp. 15-40, 2019, DOI:10.31614/cmes.2019.04327

    Abstract To deal with the problems encountered in the large scale numerical simulation of three dimensional (3D) elastic solids with fluid-filled pores, a novel computational model with the corresponding iterative solution procedure is developed, by introducing Eshelby’s idea of eigenstrain and equivalent inclusion into the boundary integral equations (BIE). Moreover, by partitioning all the fluid-filled pores in the computing domain into the near- and the far-field groups according to the distances to the current pore and constructing the local Eshelby matrix over the near-field group, the convergence of iterative procedure is guaranteed so that the problem can be solved effectively and… More >

  • Open Access

    ARTICLE

    Experimental and Theoretical Analysis of the Drag Torque in Wet Clutches

    Haojie Pan1, *, Xiaojun Zhou1

    FDMP-Fluid Dynamics & Materials Processing, Vol.15, No.4, pp. 403-417, 2019, DOI:10.32604/fdmp.2019.07808

    Abstract Traditional mathematical models cannot predict and explain the phenomenon by which the drag torque (DT) in wet clutches rises in the high-speed zone. In order to evaluate the DT in such conditions, a two-phase air-fluid mathematical model for a DT with grooves was elaborated. The mathematical model was based on the theory of viscous fluid flow. A two-phase volume of fluid model was also used to investigate the distribution and volume fraction of air and fluid. Experiments on three friction plates with different grooves were conducted to validate the resulting mathematical model. It was found that the gap between plates… More >

  • Open Access

    ARTICLE

    Nonlinear Activation Functions in CNN Based on Fluid Dynamics and Its Applications

    Kazuhiko Kakuda1,*, Tomoyuki Enomoto1, Shinichiro Miura2

    CMES-Computer Modeling in Engineering & Sciences, Vol.118, No.1, pp. 1-14, 2019, DOI:10.31614/cmes.2019.04676

    Abstract The nonlinear activation functions in the deep CNN (Convolutional Neural Network) based on fluid dynamics are presented. We propose two types of activation functions by applying the so-called parametric softsign to the negative region. We use significantly the well-known TensorFlow as the deep learning framework. The CNN architecture consists of three convolutional layers with the max-pooling and one fully-connected softmax layer. The CNN approaches are applied to three benchmark datasets, namely, MNIST, CIFAR-10, and CIFAR-100. Numerical results demonstrate the workability and the validity of the present approach through comparison with other numerical performances. More >

  • Open Access

    ARTICLE

    Behavior and preservation of an in vitro collection of European aspen in Spain

    M.T. MARTIN*, H.E. PEDRANZANI**, R. SIERRA DE GRADO

    BIOCELL, Vol.31, No.1, pp. 41-49, 2007, DOI:10.32604/biocell.2007.31.041

    Abstract An in vitro collection has been established with selected European aspen from Palencia province (Spain). Currently, this collection includes 32 high quality clones, selected for their good bearing and healthy state. Most of them belong to different discrete local populations.
    Populus tremula L. was propagated in proliferation Aspen Culture Medium; they required subculture every 3 months. The purpose of this study was, therefore, to select a medium which allows the maintenance of 32 clones for a period longer than 3 months without subculture and to observe the behavior of those clones in 15 different culture medium compositions. Seven nodal cutting… More >

  • Open Access

    ARTICLE

    Tubulointerstitial injury and proximal tubule albumin transport in early diabetic nephropathy induced by type 1 diabetes mellitus

    Maximiliano GIRAUD-BILLOUD1, 2*, Fernando EZQUER2, Javiera BAHAMONDE2, Marcelo EZQUER2

    BIOCELL, Vol.41, No.1, pp. 1-12, 2017, DOI:10.32604/biocell.2017.41.001

    Abstract A decrease in the tubular expression of albumin endocytic transporters megalin and cubilin has been associated with diabetic nephropathy, but there are no comprehensive studies to date relating early tubulointerstitial injury and the effect of the disease on both transporters in type 1 diabetes mellitus (T1DM). We used eight-weekold male C57BL/6 mice divided into two groups; one of them received the vehicle (control group), while the other received the vehicle + 200 mg/kg streptozotocin (T1DM). Ten weeks after the injection, we evaluated plasma insulin, enzymuria, urinary vitamin D-binding protein (VDBP), tubulointerstitial fibrosis and proximal tubule histology, markers of autophagy, and… More >

  • Open Access

    ARTICLE

    Influence of the Hole Chamfer on the Characteristics of a Multi-hole Orifice Flowmeter

    Caizhe Hao1, Xiaoming Song1, *, Zhining Jia1

    FDMP-Fluid Dynamics & Materials Processing, Vol.15, No.4, pp. 391-401, 2019, DOI:10.32604/fdmp.2019.07771

    Abstract In order to analyze the influence of the hole chamfer on the metering performances of a Multi-hole Orifice Flowmeter and optimize the related orifice structure, a multi-hole orifice flowmeter with DN80 and throttle ratio of 0.45 was considered in the present study. The flow field characteristics were determined in the framework of a CFD technique. The results show that the multi-hole orifice flowmeter with filleting transition around the throttle orifice has higher accuracy in a wide range of the space of parameters, and is more suitable for accurate measurement of fluid in process control. More >

  • Open Access

    ARTICLE

    Effect of age on the myosin-V immunoreactive myenteric neurons of rats ileum

    JOÃO PAULO FERREIRA SCHOFFEN, MARIA RAQUEL MARÇAL NATALI

    BIOCELL, Vol.31, No.1, pp. 33-39, 2007, DOI:10.32604/biocell.2007.31.033

    Abstract Alterations in the gastrointestinal neuromuscular function related to age have been demonstrated in human and animal models. This study analyzes the effects of the aging process on the area of the neuronal cell bodies of the myenteric plexus in the antimesenteric and intermediate regions of the ileal circumference of Wistar, 12 month-old in comparison 3 month-old animals. The ileum was removed and wholemount preparations immunostained by the antibody anti-myosin-V were processed. The morphometric analyses were performed using a computerized image analysis system, with a subsequent distribution of neurons by size in intervals of 100 μm2. The cellular body morphometry revealed… More >

  • Open Access

    ARTICLE

    Simulation of Heat and Mass Transfer in a Grain Pile on the Basis of a 2D Irregular Pore Network

    Pengxiao Chen1, Kai Huang1, 2, Fenghe Wang1, Weijun Xie1, Shuo Wei1, Deyong Yang1, *

    FDMP-Fluid Dynamics & Materials Processing, Vol.15, No.4, pp. 367-389, 2019, DOI:10.32604/fdmp.2019.07762

    Abstract The so-called pore network model has great advantages in describing the process of heat and mass transfer in porous media. In order to construct a random two-dimensional (2D) irregular pore network model for an unconsolidated material, image processing technology was used to extract the required topological and geometric information from a 2D sample of soybean particles, and a dedicated algorithm was elaborated to merge some adjacent small pores. Based on the extracted information, a 2D pore network model including particle information was reconstructed and verified to reflect the pore structure of discrete particles. This method was used to reconstruct a… More >

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