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1st DEVS Integrative M and S Symposium, DEVS 2005, Part of the 2005 Spring simulation Multiconference, SpringSim 2005

作者： Jammalamadaka, R. Nutaro, J. Gettings, M.E. Zeigler, B.P. Department of Electrical and Computer Engineering Arizona Center for Integrative Modeling and Simulation University of Arizona Tucson AZ 85721 United States

Discrete Event simulation is a natural way to simulate models that are characterized by heterogeneity in their spatio-temporal behavior. This paper describes a valley fever spore-propagation model that describes the time dependent spatial distribution of spores in southern Arizona. Two implementations of this model are examined and their execution times are compared. A discrete event model exploits the fact that only a few areas are favorable for the growth of the fungus at any given time. This allows it to schedule events only at the areas that are favorable. In contrast, the existing discrete time model cannot take advantage of the few areas that are favorable.

关键词： Discrete event simulation

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Continuity and change (activity) are fundamentally related in DEVS simulation of continuous systems

Continuity and change (activity) are fundamentally related i...

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13th International Conference on AIS 2004

作者： Zeigler, Bernard P. Jammalamadaka, Rajanikanth Akerkar, Salil R. Arizona Center for Integrative Modeling and Simulation Department of Electrical and Computer Engineering University of Arizona Tucson AZ 85721 United States

The success of DEVS methods for simulating large continuous models calls for more in-depth examination of the applicability of discrete events in modeling continuous phenomena. We present a concept of event set and an associated measure of activity that fundamentally characterize discrete representation of continuous behavior. This metric captures the underlying intuition of continuity as well as providing a direct measure of the computational work needed to represent continuity on a digital computer. We discuss several application possibilities beyond high performance simulation such as data compression, digital filtering, and soft computation. Perhaps most fundamentally we suggest the possibility of dispensing with the mysteries of traditional calculus to revolutionize the prevailing educational paradigm. © Springer-Verlag Berlin Heidelberg 2005.

关键词： computer systems

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Robots in the loop: Supporting an incremental simulation-based design process

Robots in the loop: Supporting an incremental simulation-bas...

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IEEE Systems, Man and Cybernetics Society, Proceedings - 2005 International Conference on Systems, Man and Cybernetics

作者： Hu, Xiaolin Ganapathy, Narayanaswami Zeigler, Bernard P. Computer Science Department Georgia State University Atlanta GA United States Arizona Center for Integrative Modeling and Simulation University of Arizona Tucson AZ United States

This paper presents the results of applying an incremental simulation-based design process to study a robotic convoy system. Robot-in-the-loop simulation, as a major step in this process, allows the system to be measured with combined robot models and real robots. This capability effectively bridges the gap between conventional simulation where models are used and real system experiment where real robots are used. For each step in this incremental process, the simulation/experiment setup is described. The measurement data are then presented and compared. These experiments and results demonstrate the capabilities of robot-in-the-loop simulation and justify the effectiveness of using the incremental simulation-based design process. © 2005 IEEE.

关键词： Robots

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Experimental evaluation of the effect of varying levels of crowd behavior fidelity on the outcome of certain military scenarios

Experimental evaluation of the effect of varying levels of c...

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2005 Spring simulation Interoperability Workshop, SIW 2005

作者： Hunter, Kelly R. Petty, Mikel D. McKenzie, Frederic D. Virginia Modeling Analysis and Simulation Center Old Dominion University NorfolkVA23529 United States Department of Electrical and Computer Engineering Old Dominion University NorfolkVA23529 United States

Crowds of non-combatants play a large and increasingly recognized role in modern military operations, and often create substantial difficulties for the combatant forces involved. However, in spite of their potential significance, realistic models of crowds are essentially absent from current military simulations. We have developed a crowd simulation that is interoperable with existing military simulations via HLA and has a credible psychological basis for the cognitive model it used to generate crowd behavior. Though the need for crowd modeling in military simulation has been widely recognized, it is not clear how much fidelity crowd models must have to be effective. The implemented Crowd Federate was used to conduct an experiment to investigate the level of crowd behavior fidelity needed to significantly affect the outcome and utility of a military simulatio. Six levels of behavior fidelity were identified and implemented using different configurations of the crowd federate. Multiple trials for the first five levels were executed using a historical reference scenario. Data regarding several measures of performance were gathered, including mission success, mission time, casualties, and perceived realism. Unfortunately, anomalous events in the military simulation federated with the Crowd Federate confounded the results of the experiment, preventing a fine assessment of the effect of the different levels of behavior fidelity. However, the trials were clearly more realistic when the simulated crowd was present. © 2005 The MITRE Corporation. All rights reserved.

关键词： Military operations

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Integrating fire suppression into a DEVS cellular forest fire spread model

Integrating fire suppression into a DEVS cellular forest fir...

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1st DEVS Integrative M and S Symposium, DEVS 2005, Part of the 2005 Spring simulation Multiconference, SpringSim 2005

作者： Ntaimo, Lewis Zeigler, Bernard P. Department of Industrial Engineering Texas A and M University College Station TX 77843 United States Department of Electrical and Computer Engineering Arizona Center for Integrative Modeling and Simulation University of Arizona Tucson AZ 85721 United States

This paper deals with modeling and simulation of surface forest fire spread and suppression using the discrete event system specification (DEVS) cellspace approach. The event-based modeling approach allows for timely simulation-based predictions of forest, fire spread and suppression in uniform and non-uniform environmental conditions. This paper proposes a conceptual model for a coupled forest cell model comprising of a forest cell agent atomic model and a forest cell atomic model The forest cell agent atomic model will allow for modeling and simulation of more complex fire suppression strategies to control fire spread. The proposed basic model provides an advance toward developing a real-time or fast-as-can decision support simulation system for predicting forest fire spread and the effects of fire suppression attempts.

关键词： Cells

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Roughness-induced transient growth

Roughness-induced transient growth

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35th AIAA Fluid Dynamics Conference and Exhibit

作者： Choudhari, Meelan Fischer, Paul Computational Modeling and Simulation Branch NASA Langley Research Center M.S. 128 Hampton VA 23681 United States Argonne National Laboratory Mathematics and Computer Science Division 9700 S. Cass Avenue Argonne IL 60439 United States

ISBN: (纸本)9781624100598

Numerical simulations are used to model the boundary layer disturbance field due to a spanwise periodic array of circular disks at the surface. Our earlier computations (Fischer and Choudhari 2004) reproduced some of the major trends associated with roughness induced transient growth as measured by White and Ergin (2003), confirming the accuracy of their data reduction technique. The present paper explores the effects of roughness height, shape, and size on the transient growth along the wake of the roughness array. Results indicate the range of roughness heights over which the energy levels of the dominant stationary disturbance are consistent with the empirically determined Rek2 scaling of White and Ergin. Computations further reveal the intricate effects of disturbance nonlinearity on transient growth characteristics. At sufficiently large roughness heights, simulations indicate spontaneous vortex shedding behind the roughness array, which has been identified in previous experiments as a precursor to premature transition (i.e., tripping) of the laminar boundary layer. The effect of stationary, suboptimal transient growth disturbances on the amplification of Tollmien-Schlichting instability waves in the boundary layer is also assessed in the light of the recent findings concerning the stabilizing influence of optimal growth streaks (Cossu and Brandt 2002).

关键词： Laminar boundary layer

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Discrete event multi-level models for systems biology

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2005年 3380 LNBI卷 66-89页

作者： Uhrmacher, Adelinde M. Degenring, Daniela Zeigler, Bernard Institute for Computer Science University of Rostock Albert-Einstein-Str. 21 D-18059 Rostock Germany Arizona Center of Integrative Modeling and Simulation University of Arizona Tucson AZ 85721 United States

ISBN: (纸本)3540254226

Diverse modeling and simulation methods are being applied in the area of Systems Biology. Most models in Systems Biology can easily be located within the space that is spanned by three dimensions of modeling: continuous and discrete;quantitative and qualitative;stochastic and deterministic. These dimensions are not entirely independent nor are they exclusive. Many modeling approaches are hybrid as they combine continuous and discrete, quantitative and qualitative, stochastic and deterministic aspects. Another important aspect for the distinction of modeling approaches is at which level a model describes a system: is it at the "macro" level, at the "micro" level, or at multiple levels of organization. Although multi-level models can be located anywhere in the space spanned by the three dimensions of modeling and simulation, clustering tendencies can be observed whose implications are discussed and illustrated by moving from a continuous, deterministic quantitative macro model to a stochastic discrete-event semi-quantitative multi-level model. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Data structures

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Analysis of transition-sensitized turbulent transport equations

Analysis of transition-sensitized turbulent transport equati...

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43rd AIAA Aerospace Sciences Meeting and Exhibit

作者： Rumsey, Christopher L. Thacker, William D. Gatski, Thomas B. Grosch, Chester E. NASA Langley Research Center Hampton VA 23681-2199 United States St. Louis University St. Louis MO 63156 United States Old Dominion University Norfolk VA 23529 United States Computational Modeling and Simulation Branch Mail Stop 128 United States AIAA United States Department of Physics Parks College United States Departments of Oceanography and Computer Science

The dynamics of an ensemble of linear disturbances in boundary-layer flows at various Reynolds numbers is studied through an analysis of the transport equations for the mean disturbance kinetic energy and energy dissipation rate. Effects of adverse and favorable pressure-gradients on the disturbance dynamics are also included in the analysis. Unlike the fully turbulent regime where nonlinear phase scrambling of the fluctuations affects the flow field even in proximity to the wall, the early stage transition regime fluctuations studied here are influenced across the boundary layer by the solid boundary. The dominating dynamics in the disturbance kinetic energy and dissipation rate equations are described. These results are then used to formulate transition-sensitized turbulent transport equations, which are solved in a two-step process and applied to zero-pressure-gradient flow over a flat plate. Computed results are in good agreement with experimental data.

关键词： Turbulence

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Hybrid discrete event simulation with model predictive control for semiconductor supply-chain manufacturing

Hybrid discrete event simulation with model predictive contr...

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simulation Winter Conference

作者： H.S. Sarjoughian Dongping Huang G.W. Godding Wenlin Wang D.E. Rivera K.G. Kempf H.D. Mittelmann Arizona Center for Integrative Modeling & Simulation Computer Science & Engineering Department Arizona State University Tempe AZ USA Control Systems Engineering Laboratory Chemical & Materials Engineering Department Arizona State University Tempe AZ USA Decision Technologies Intel Corporation Chandler AZ USA Mathematics & Statistic Dept. Arizona State University Tempe AZ USA

simulation modeling combined with decision control can offer important benefits for analysis, design, and operation of semiconductor supply-chain network systems. Detailed simulation of physical processes provides information for its controller to account for (expected) stochasticity present in the manufacturing processes. In turn, the controller can provide (near) optimal decisions for the operation of the processes and thus handle uncertainty in customer demands. In this paper, we describe an environment that synthesizes discrete-event system specification (DEVS) with model predictive control (MPC) paradigms using a knowledge interchange broker (KIB). This environment uses the KIB to compose discrete event simulation and model predictive control models. This approach to composability affords flexibility for studying semiconductor supply-chain manufacturing at varying levels of detail. We describe a hybrid DEVS/MPC environments via a knowledge interchange broker. We conclude with a comparison of this work with another that employs the Simulink/MATLAB environment.

关键词： Discrete event simulation Predictive models Predictive control Virtual manufacturing Semiconductor device manufacture Mathematical model Analytical models Manufacturing processes Optimal control Uncertainty

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modeling and simulation research and instruction at the U.S. Air Force Academy

Modeling and simulation research and instruction at the U.S....

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Collection of Technical Papers - AIAA modeling and simulation Technologies Conference

作者： Cummings, Russell M. Morton, Scott A. Bergeron, Keith United States Air Force Academy USAF Academy CO 80840 Department of Aeronautics HQ USAFA DFAN Modeling and Simulation Research Center Modeling and Simulation Advisory Committee Department of Computer Science HQ USAFA DFCS

ISBN: (纸本)1563476746

modeling and simulation has become a driving force within the engineering and science communities as the cost of, and time for, experimentation continues to rise. Some areas of study, such as chemistry and biology, may not even have the ability to fully evaluate certain processes experimentally, making modeling and simulation even more important. The situation has led many areas of research to the necessity of modeling and simulating various processes using computers. In addition, the rise in computational capabilities (the supercomputers of a decade ago are outmoded by the PC clusters of today), has led to a paradigm shift from using the computer resources only available to a few researchers to a tool now available to many people. Researchers at the U.S. Air Force Academy are working to bring these modeling and simulation tools into the classroom and laboratories for students to learn the capabilities, and limitations, of modern computational tools. Descriptions of how modeling and simulation is performed at the Academy are included, as well as details about the computational resources being used. Most importantly, descriptions of the methods used to bring these tools to the classroom are described in detail.

关键词： Engineering education

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