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

MODELING AND SIMULATION APPLICATIONS

R G. Ingalls, M. D. Rossetti, J. S. Smith et al. · 2008

Many different types of modeling and simulation (M&S) applications are used in dozens of disciplines under diverse objectives including acquisition, analysis, education, entertainment, research, and training. M&S application verification and validation (V&V) are conducted to assess mainly the accuracy, which is one of many indicators affecting the M&S application quality. Much higher confidence can be achieved in accuracy if a quality-centered approach is used. This paper presents a quality model for assessing the quality of large-scale complex M&S applications as integrated with V&V. The guidelines provided herein should be useful for assessing the overall quality of an M&S application.

Cited by 0

Simio and Simulation: Modeling, Analysis, Applications

W. David Kelton, Jeffrey S. Smith, David Sturrock · 2010

A primary text in introductory and perhaps second courses in simulation at both the under-graduate and beginning-graduate levels. Such simulation courses are found in departments of industrial and systems engineering, most business schools, and many computer-science departments; simulation courses are also found in other engineering disciplines (mechanical, civil, electrical, chemical), mathe- matics, statistics, epidemiology, and agriculture. The text or components of it could also support a simulation module of a few weeks within a larger sur- vey course in programs without a stand-alone simulation course (e.g., MBA). It is written in an accessible tutorial-style writing approach centered around specific examples rather than general concepts, and covers a variety of appli-cations. Our experience has shown that these characteristics make the text easier to read and absorb, as well as appealing to students from many dfferent backgrounds.

Cited by 149

Simulation and modeling: current technologies and applications

Choice Reviews Online · 2008

The science of simulation and modeling (SM) strives to showcase the highest possible level of reality in order to determine the conditions necessary for optimal performance. SM is a multifaceted and complex field due to the numerous applications involved, particularly since SM applications range from nuclear reaction to supermarket queuing. Simulation and Modeling: Current Technologies and Applications includes examinations of current issues related to simulation such as: Web-based simulation, virtual reality, augmented reality, and artificial intelligence. This book combines different methods, views, theories, and applications of simulations into one volume, and offers insight into the computer science aspect of simulation and modeling while integrating the business practices of SM.

Cited by 18

Multilevel modeling and simulation: methodologies and applications

Serena, Luca · AMS Dottorato Institutional Doctoral Theses Repository (University of Bologna) · 2025

Multilevel modeling and simulation is a methodology that involves the hierarchical decomposition of complex systems into modular, cooperating components, each representing specific aspects of interest. The motivations behind this approach can vary widely, including the ability to leverage existing software, the need for different levels of abstraction and granularity, or the opportunity to better organize model development by separating semantically distinct aspects. This thesis presents a comprehensive study of multilevel modeling and simulation techniques, providing an overview of their use in scientific literature and discussing the design principles and key issues involved. The analysis of the current state of the art reveals that while multilevel modeling is widely used across various scientific fields, little effort was directed toward formal and methodological aspects. As a result, there are no precise standards for the design of such models, and ambiguities exist starting with the terminology. To address this gap and better define potential approaches for building a multilevel framework, the thesis proposes some categories of design patterns that address some critical aspects that may be encountered during the development phase, and a metamodel crafted to enhance multilevel modeling clarity and effectiveness. The proposed design principles were ultimately applied to create multilevel simulations for IoT applications, with a focus on developing a decentralized, efficient sensor data marketplace. This scenario leverages technologies like LoRa and blockchain to support secure and scalable data exchange. Given the complexity of factors involved — including mobility, physical message propagation, data storage and trading — multilevel modeling has proven to be exceptionally effective in managing the complex interactions and dependencies among these components.

Cited by 0Open access

Vibration Engineering: Modeling, Simulation, Experimentation, and Applications

ePrints Soton (University of Southampton) · 2024

<p>Vibration Engineering presents recent developments in the field of engineering, encompassing industrial norms, applications within the finite element method, infrastructure safety assessment, and active vibration control strategies. It offers a study in seismic vibration control and analysis for building structures and liquid storage tanks. Spanning across the multiple domains of vibration engineering, the book highlights machinery diagnostics, modal analysis, energy harvesting, balancing, vibration isolation, and human-vibration interaction. It discusses experimental fault identification in journal bearings using vibration-based methods. This book also considers advances in vibration-based structural health monitoring of civil infrastructures. This book will be a useful reference for industry professionals and engineers facing challenges while dealing with the vibrations in the fields of mechanical, aerospace, structural, and civil engineering.</p>

Cited by 0

Lithography simulation: modeling techniques and selected applications

Andreas Erdmann, Tim Fühner, Feng Shao et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009

This article reviews standard and advanced modeling techniques in lithography simulation. Rigorous electromagnetic field solvers such as the Waveguide Method and finite-difference time-domain (FDTD) algorithms in combination with vector imaging models predict the image formation inside the photoresist. Semi-empirical macroscopic and microscopic models describe physical and chemical phenomena during the processing of resists. Various local and global optimization techniques are applied to identify the best exposure and process parameters. Several examples demonstrate the application of predictive simulation for the exploration of future lithography options and for the optimization of existing technologies. This includes the consideration of mask material parameters in source/mask optimization, the evaluation and comparison of different options for double exposure and double patterning techniques, and the investigation of mask-induced imaging artifacts in EUV-lithography. Selected examples illustrate the application of lithography simulation for the modeling of cost efficient alternative exposure techniques for special applications of micro- and nanotechnology.

Cited by 19

Modeling and simulation validation for EMC applications

Bruce Archambeault · 1999

Modeling and simulation tools are very valuable as design and analysis tools to help in EMC engineering problems. As with any tool, they only provide accurate results when used properly. It is not always practical to use measurements to validate simulation results. Intermediate results from various modeling techniques can be used to help validate specific models, and increase confidence in the final results.

Cited by 8

Modeling and Simulation for Electric Vehicle Applications

Mohamed Amine Fakhfakh · Directory of Open access Books (OAPEN Foundation) · 2016

The book presents interesting topics from the area of modeling and simulation of electric vehicles application. The results presented by the authors of the book chapters are very interesting and inspiring. The book will familiarize the readers with the solutions and enable the readers to enlarge them by their own research. It will be useful for students of Electrical Engineering; it helps them solve practical problems.

Cited by 0Open access

Simulation of Cutting Process – Modeling and Applications

Wojciech · Sciyo eBooks · 2010

Cutting process plays an important role in manufacturing of a large range of products for all types of production (shop, batch and mass production). Hence the constant need of improvement and optimization of process and parameters exists. It can be expressed by two postulates: increasing of efficiency and quality. At present the significant improvement of both factors seems to be impossible without understanding of dynamical basics of cutting process. Thus research and development into realistic mathematical models of cutting process, becomes even more important than previously. Models become a useful instrument for technologist just after adapting of worked out mathematical equations for adequate technological problems. This stage is usually quite difficult and very important because it determines usefulness of model. In the chapter dynamical model of cutting process for turning was described. The model denotes two-degree-of freedom tool deflection caused by dynamical cutting force. It considers the main dissipative factors: regenerative effect and process dumping caused by dynamical limit federate. As the result of analysis, the main ranges of potential application were proposed

Cited by 3Open access