The Experts below are selected from a list of 21 Experts worldwide ranked by ideXlab platform

Patrick Giraudoux - One of the best experts on this subject based on the ideXlab platform.

  • Coupling agent-based with Equation-based models to study spatially explicit megapopulation dynamics
    Ecological Modelling, 2018
    Co-Authors: Nicolas Marilleau, Christophe Lang, Patrick Giraudoux
    Abstract:

    The incorporation of the spatial heterogeneity of real landscapes into population dynamics remains extremely difficult. We propose Combining Equation-based modelling (EBM) and agent-based modelling (ABM) to overcome the difficulties classically encountered. ABM facilitates the description of entities that act according to specific rules evolving on various scales. However, a large number of entities may lead to computational difficulties (e.g., for populations of small mammals, such as voles, that can exceed millions of individuals). Here, EBM handles age-structured population growth, and ABM represents the spreading of voles on large scales. Simulations applied to the spreading of a montane water vole population demonstrated that our model is quite efficient in representing the pattern observed and might help to highlight some key parameters during population expansion. This method paves the way for further developments, including the introduction of density-dependent parameters (predation, diseases, etc.) capable of triggering population declines in an explicitly spatial context.

Nicolas Marilleau - One of the best experts on this subject based on the ideXlab platform.

  • Coupling agent-based with Equation-based models to study spatially explicit megapopulation dynamics
    Ecological Modelling, 2018
    Co-Authors: Nicolas Marilleau, Christophe Lang, Patrick Giraudoux
    Abstract:

    The incorporation of the spatial heterogeneity of real landscapes into population dynamics remains extremely difficult. We propose Combining Equation-based modelling (EBM) and agent-based modelling (ABM) to overcome the difficulties classically encountered. ABM facilitates the description of entities that act according to specific rules evolving on various scales. However, a large number of entities may lead to computational difficulties (e.g., for populations of small mammals, such as voles, that can exceed millions of individuals). Here, EBM handles age-structured population growth, and ABM represents the spreading of voles on large scales. Simulations applied to the spreading of a montane water vole population demonstrated that our model is quite efficient in representing the pattern observed and might help to highlight some key parameters during population expansion. This method paves the way for further developments, including the introduction of density-dependent parameters (predation, diseases, etc.) capable of triggering population declines in an explicitly spatial context.

Christophe Lang - One of the best experts on this subject based on the ideXlab platform.

  • Coupling agent-based with Equation-based models to study spatially explicit megapopulation dynamics
    Ecological Modelling, 2018
    Co-Authors: Nicolas Marilleau, Christophe Lang, Patrick Giraudoux
    Abstract:

    The incorporation of the spatial heterogeneity of real landscapes into population dynamics remains extremely difficult. We propose Combining Equation-based modelling (EBM) and agent-based modelling (ABM) to overcome the difficulties classically encountered. ABM facilitates the description of entities that act according to specific rules evolving on various scales. However, a large number of entities may lead to computational difficulties (e.g., for populations of small mammals, such as voles, that can exceed millions of individuals). Here, EBM handles age-structured population growth, and ABM represents the spreading of voles on large scales. Simulations applied to the spreading of a montane water vole population demonstrated that our model is quite efficient in representing the pattern observed and might help to highlight some key parameters during population expansion. This method paves the way for further developments, including the introduction of density-dependent parameters (predation, diseases, etc.) capable of triggering population declines in an explicitly spatial context.

Zhenyu Song - One of the best experts on this subject based on the ideXlab platform.

  • One Fusion Approach of Fault Diagnosis Based on Rough Set Theory and Dezert-Smarandache Theory
    Proceedings of the 2nd International Conference on Electronic and Mechanical Engineering and Information Technology (2012), 2012
    Co-Authors: Zhenyu Song
    Abstract:

    There are the advantage of Rough Sets Theory and evidence theory for processing uncertain information, and one fusion approach of fault diagnosis based on the Rough Sets Theory and Dezert-Smarandache Theory. Firstly the abundant condition attribution was reduced through Rough Sets Theory, then evidence Combining results of each reduced result were calculated through the basic probability assignment and normalized attribution significance. The diagnosis results were combined by DSmT Combining Equation. Finally the above method was applied to some equipment diagnosis to verify its effectiveness.

Ohirhian Peter - One of the best experts on this subject based on the ideXlab platform.

  • A theoretical parametric study of Water Flooding
    Nigerian Association of Mathematical Physics, 2013
    Co-Authors: Ohirhian Peter
    Abstract:

    A multidimensional mathematical model derived by Combining Equation of continuity and Darcy’s law and solved using the strongly implicit procedure (SIP) has been used to study the effects of permeability distribution, shape of the relative permeability and capillary pressure curves, ratio of water to oil viscosity, and amount of connate water on the shape of the water saturation profiles, the time of water breakthrough and the cumulative oil recovery from a water flood project. The effects of the various parameters on the oil recovery efficiency (the fraction of the initial oil in place that can be economically recovered) have been studied with respect to linear flow as well as for a five-spot pattern. The computer model described in this paper is capable of handling both patterns by mere alteration of the injection data. The study shows that the parameters considered have much influence on the efficiency of oil recovery from a porous material.Journal of the Nigerian Association of Mathematical Physics, Volume 19 (November, 2011), pp 369 – 38