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About 10,000 papers for “Modeling and Simulation Systems”

Systems, Architectures, Modeling and Simulation

Patrice Quinton, Juergen Teich, Nancy Pyrini · 2008

Copyright Copyright © 2003 by the SAMOS Initiative. Permission to make digital or hard copies of parts of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page.

Cited by 0

Computer Systems Modeling and Simulation

Mor Harchol‐Balter · Cambridge University Press eBooks · 2023

Learn about probability as it is used in computer science with this rigorous, yet highly accessible, undergraduate textbook. Fundamental probability concepts are explained in depth, prerequisite mathematics is summarized, and a wide range of computer science applications is described. Throughout, the material is presented in a “question and answer” style designed to encourage student engagement and understanding. Replete with almost 400 exercises, real-world computer science examples, and covering a wide range of topics from simulation with computer science workloads, to statistical inference, to randomized algorithms, to Markov models and queues, this interactive text is an invaluable learning tool whether your course covers probability with statistics, with stochastic processes, with randomized algorithms, or with simulation. The teaching package includes solutions, lecture slides, and lecture notes for students.

Cited by 0

Microelectrofluidic Systems: Modeling and Simulation

Zhang Tianhao, Krishnendu Chakrabarty, Richard B. Fair · 2002

INTRODUCTION Modeling and Simulation Issues Modeling and Simulation Needs Overview HIERARCHICAL MODELING MEFS Dynamic Modeling and Simulation at Circuit Level MEFS System-Level Modeling and Simulation Conclusion SYSTEMC-BASED HIERARCHICAL DESIGN ENVIRONMENT Suitability of Modeling Languages for Hierarchical Design Building Design Environment with SystemC Conclusion SYSTEM-LEVEL SIMULATION AND PERFORMANCE EVALUATION MEFS Computing and Architecture Hierarchical Modeling and Simulation Methodology Micro-Chemical Handling System System Performance Analysis and Design Optimization Conclusion CIRCUIT-LEVEL OPTIMIZATION Simulation Design Methodology Optimization Verification On-Target Design Optimization Robust Design Optimization Application Flexibility Optimization Conclusion PERFORMANCE EVALUATION Introduction Continuous-Flow PCR System Droplet-Based PCR System Comparison Between Continuous-Flow PCR and Droplet PCR Scheduling of Microfluidic Operations for Reconfigurable Two-Dimensional Electrowetting Arrays CONCLUSION APPENDICES VHDL Queuing Model Hierarchical Environment with SystemC Keywords: Nanoscience, Nanotechnology

Cited by 47

Simulation and modeling-modeling mixed systems with SPICE3

K.L. Paap, M. Dehlwisch, R. Jendges et al. · IEEE Circuits and Devices Magazine · 1993

A systematic and easy-to-apply method that allows a software designer to write a high-level model in a form that closely resembles a mathematical description is presented. This method can also be applied to the definition of piecewise defined functions and new element types. After explaining the principles of the method, the authors give a simple example of the design procedure as applied to an acceleration sensor used in an airbag control system.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Cited by 4

MODELING AND SIMULATION OF FLOW SYSTEMS Modeling and Simulation of Dynamic Structure Heterogeneous Flow Systems

Fernando J. Barros · 2016

The author presents the Heterogeneous Flow System Specification (HFSS), a formalism suited to rep-resent combined (discrete/continuous) systems. The new formalism is based on the concept of sam-pling that is described in general terms to include multirate sampling systems. The HFSS formalism permits the construction of continuous/discrete input/output models in a modular and hierarchical manner. Hierarchical systems have a dynamic structure nature that can be changed over time. To show an application of the HFSS formalism, the author presents a new formalism to numerically solve differential equations with discontinuities using multirate integration methods. Applications of combined and dynamic structure systems are presented.

Cited by 0

Integrated Energy Systems Modeling and Simulation

Elizabeth Kirkpatrick Worsham · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2024

This presentation covers IES modeling and simulation tools, with a specific focus on how physical modeling is linked to technoeconomic analysis.

Cited by 0Open access

Soft systems methodology and simulation modeling

Brian Lehaney, Ray J. Paul · 1996

Simulation is both popular and powerful, but reportage of simulation case studies indicates that in many cases process is treated cursorily, and end-user-acceptance of final models is not forthcoming. Whilst texts often proclaim the importance of process, this is usually left to the discretion of the modeler, A range of problem structuring (or soft) methodologies have been developed to address process issues. However, these can be both slow and unwieldy. This paper outlines a case which utilises the principles of soft methodologies in a relatively quick and dirty approach to process.

Cited by 10

Mechtronic Systems, Simulation, Modeling and Control

Milella, Annalisa, Di Paola, Donato, Cicirelli, Grazia et al. · 2010

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Cited by 0Open access