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BCAM's Institutional Repository Data
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759 Publications
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  • Closed queueing networks under congestion: Nonbottleneck independence and bottleneck convergence

    Anselmi J.; D'Auria B.; Walton N. (2013)
    We analyze the behavior of closed multiclass product-form queueing networks when the number of customers grows to infinity and remains proportionate on each route (or class). First, we focus on the stationary behavior and prove the conjecture that the stationary distribution at nonbottleneck queues converges weakly to the stationary distribution of an ergodic, open product-form queueing network, which is geometric. This open network is obtained by replacing bottleneck queues with per-route Po...

    Stability analysis of a renewal equation for cell population dynamics with quiescence

    Alarcon T.; Getto P.; Nakata Y. (2014)
    We propose a model to analyze the dynamics of interacting proliferating and quiescent cell populations. The model includes age dependence of cell division, transitions between the two subpopulations, and regulation of the recruitment of quiescent cells. We formulate the model as a pair of renewal equations and apply a rather recent general result to prove that (in)stability of equilibria can be analyzed by locating roots of characteristic equations. We are led to a parameter plane analysis of...

    A FEniCS-HPC framework for multi-compartment Bloch-Torrey models

    Nguyen D.; Jansson J.; Hoffman J. (2016)
    In diffusion nuclear magnetic resonance (NMR) and diffusion magnetic resonance imaging (MRI), the multi-compartment Bloch-Torrey equation plays an important role in probing the diffusion characteristics from a nanometer scale to a macroscopic scale. The signal attenuation can be computed by solving the equation. If the volume of interest is composed by multiple compartments, interface conditions with permeability are imposed. Depending on applications, different gradient strengths can be used...

    On the control of Markov jump linear systems with no mode observation: Application to a DC Motor device

    Vargas A.N.; Costa E.F.; Do Val J.B.R. (2013)
    This paper deals with the control problem of discrete-time Markov jump linear systems for the case in which the controller does not have access to the state of the Markov chain. A necessary optimal condition, which is nonlinear with respect to the optimizing variables, is introduced, and the corresponding solution is obtained through a variational convergent method. We illustrate the practical usefulness of the derived approach by applying it in the control speed of a real DC Motor device sub...

    Early classification of time series by simultaneously optimizing the accuracy and earliness

    Mori U.; Mendiburu A.; Dasgupta S.; Lozano J.A. (2017)
    The problem of early classi cation of time series appears naturally in contexts where the data, of temporal nature, is collected over time, and early class predictions are interesting or even required. The objective is to classify the incoming sequence as soon as possible, while maintaining suitable levels of accuracy in the predictions. Thus, we can say that the problem of early classi cation consists in optimizing two objectives simultaneously: accuracy and earliness. In this context, we pr...
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