Enabling large scale and high definition simulation of natural systems with vector models and JDEVS

Filippi, Jean-Baptiste; Bisgambiglia, Paul-Antoine

doi:10.1109/wsc.2002.1166497

Cited by 7 publications

(10 citation statements)

References 9 publications

(4 reference statements)

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“…Specific formalisms exist for the specification of DES, among those DEVS (Zeigler, 2000) has already been applied to the study of discrete, continuous and hybrid systems. Many specialisations of DEVS exist for different applications; Vector-DEVS (Filippi and Bisgambiglia 2002) has been hal-00438619, version 1 -4 Dec 2009 developed for the specification of models with moving dynamic interfaces. In the next section Vector-DEVS is used to formalize the markers method.…”

Section: Hal-00438619 Version 1 -4 Dec 2009mentioning

confidence: 99%

Discrete Event Front-tracking Simulation of a Physical Fire-spread Model

et al. 2009

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Simulation of moving interfaces, like a fire front usually requires the resolution of a large scale and detailed domain. Such computing involves the use of supercomputers to process the large amount of data and calculations. This limitation is mainly due to the fact that large scale of space and time is usually split into nodes, cells or matrices, and the solving methods often require small time steps. This paper presents a novel method that enables the simulation of large scale/high resolution systems by focusing on the interface. Unlike the conventional explicit and implicit integration schemes, it is based on the discrete-event approach, which describes time advance in terms of increments of physical quantities rather than discrete time stepping. Space as well is not split into discrete nodes or cells, but we use polygons with real coordinates. The system is described by the behaviour of its interface, and evolves by computing collision events of this interface in the simulation. As this simulation technique is suited for a class of models that can explicitly provide rate of spread for a given configuration, we developed a specific radiation based propagation model of physical wildland fire. Simulations of a real large scale fire performed with an implementation of our method provide very interesting results in less than 30 seconds with a 3 metres resolution with current personal computers.

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Section: Hal-00438619 Version 1 -4 Dec 2009mentioning

confidence: 99%

Discrete Event Front-tracking Simulation of a Physical Fire-spread Model

et al. 2009

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“…Another continuous-space model designed with DEVS is presented in [28]. Although it also represents a forest fire, it differs from the model of [25] in that vectors are used for the positions of fire fighters. The fire itself is represented by a set of cells in a lattice.…”

Section: (X Y D {M D \Ded} Eic Eoc Ic Select)mentioning

confidence: 99%

“…The fire itself is represented by a set of cells in a lattice. Similar to [25], the model in [28] has a dynamic structure, but in this case the dynamic structure is used to create and delete links between DEVS fire fighter models and DEVS cell models.…”

Section: (X Y D {M D \Ded} Eic Eoc Ic Select)mentioning

confidence: 99%

“…Although DEVS has been used for cellular models, as pointed out in Section 2.2, the application of the formalism to continuous-space models is rare. Our approach differs from that of the continuous-space forest fire models of [25] and [28] in that these projects used DEVS variants with dynamic structure. In pursuit of simplicity, we seek a relatively minimalistic formulation of DEVS that adheres closely to the original formalism.…”

Section: Problem Statementmentioning

confidence: 99%

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DEVS-based dynamic simulation of deformable biological structures

Goldstein¹

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The author has granted a nonexclusive license allowing Library and Archives Canada to reproduce, publish, archive, preserve, conserve, communicate to the public by telecommunication or on the Internet, loan, distribute and sell theses worldwide, for commercial or noncommercial purposes, in microform, paper, electronic and/or any other formats. AVIS: L'auteur a accorde une licence non exclusive permettant a la Bibliotheque et Archives Canada de reproduire, publier, archiver, sauvegarder, conserver, transmettre au public par telecommunication ou par I'lnternet, preter, distribuer et vendre des theses partout dans le monde, a des fins commerciales ou autres, sur support microforme, papier, electronique et/ou autres formats. Bien que ces formulaires aient inclus dans la pagination, il n'y aura aucun contenu manquant.

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“…An example of such a case would be the forest fire model that is described in [13]. This particular example integrates a variation of DEVS designed in particular for dynamic structures [14].…”

Section: Discrete Event System Specification (Devs)mentioning

confidence: 99%

Using Discrete EVent System Specification in Real-Time (DEVSRT) in Order to Model and Simulate Artificial Pancreas.

D'Souza¹

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One of the key areas that are being paid special attention to is known as red biotechnology (i.e. biotechnology used in the medical field). An example of this is 'The Artificial Pancreas' specifically for diabetes mellitus. The device would be composed of a continuous glucose sensor that senses the user's sugar level, an insulin infusion pump that secretes insulin into the user's body when required; and an algorithm that regulates the insulin based on the glucose levels obtained from the sensor. In the past recent years, there have been significant developments in technology that are very specific to the artificial pancreas. Although these devices show promise of future device developments, it currently faces a lot of error and criticism. In order to minimize cost and time to build and verify such a complex system, one must first model and simulate the system. This methodology in turn provides risk-free testing environments and can also be tested with different scenarios. This thesis will focus on modelling and simulating the artificial pancreas using Discrete EVent System Specification in Real-Time (DEVSRT).This is accomplished by simulating both a meal model and a control algorithm to control the insulin pump based of the data provided by the continuous glucose monitor. The meal model simulation will validate the control algorithm model. The results indicate that the meal model was successfully modelled and validated via comparison to literature. While the control algorithm implemented is not effective when large meals are ingested. iii To my mother, Colette D'Souza, who is my rock and source of encouragement. If I have accomplished anything today it is because of you.iv There are a number of people without whose help this thesis might have not been written and to whom I am greatly indebted.First and foremost, I thank my thesis supervisor, Dr. Gabriel Wainer, for his support; guidance; and, encouragement throughout these past couple of years. It has been both a privilege and pleasure to work under your supervision.

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Enabling large scale and high definition simulation of natural systems with vector models and JDEVS

Cited by 7 publications

References 9 publications

Discrete Event Front-tracking Simulation of a Physical Fire-spread Model

Discrete Event Front-tracking Simulation of a Physical Fire-spread Model

DEVS-based dynamic simulation of deformable biological structures

Using Discrete EVent System Specification in Real-Time (DEVSRT) in Order to Model and Simulate Artificial Pancreas.

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