Released on 2000-01-10Categories Computers

Theory of Modeling and Simulation

Theory of Modeling and Simulation

Author: Bernard P. Zeigler

Publisher: Academic Press

ISBN: 0127784551

Category: Computers

Page: 536

View: 905

The increased computational power and software tools available to engineers have increased the use and dependence on modeling and computer simulation throughout the design process. These tools have given engineers the capability of designing highly complex systems and computer architectures that were previously unthinkable. Every complex design project, from integrated circuits, to aerospace vehicles, to industrial manufacturing processes requires these new methods. This book fulfills the essential need of system and control engineers at all levels in understanding modeling and simulation. This book, written as a true text/reference has become a standard sr./graduate level course in all EE departments worldwide and all professionals in this area are required to update their skills. The book provides a rigorous mathematical foundation for modeling and computer simulation. It provides a comprehensive framework for modeling and simulation integrating the various simulation approaches. It covers model formulation, simulation model execution, and the model building process with its key activities model abstraction and model simplification, as well as the organization of model libraries. Emphasis of the book is in particular in integrating discrete event and continuous modeling approaches as well as a new approach for discrete event simulation of continuous processes. The book also discusses simulation execution on parallel and distributed machines and concepts for simulation model realization based on the High Level Architecture (HLA) standard of the Department of Defense. Presents a working foundation necessary for compliance with High Level Architecture (HLA) standards Provides a comprehensive framework for continuous and discrete event modeling and simulation Explores the mathematical foundation of simulation modeling Discusses system morphisms for model abstraction and simplification Presents a new approach to discrete event simulation of continuous processes Includes parallel and distributed simulation of discrete event models Presents a concept to achieve simulator interoperability in the form of the DEVS-Bus
Released on 2011-09-20Categories Mathematics

Principles of Modeling and Simulation

Principles of Modeling and Simulation

Author: John A. Sokolowski

Publisher: John Wiley & Sons

ISBN: 9781118210949

Category: Mathematics

Page: 280

View: 866

Explores wide-ranging applications of modeling and simulationtechniques that allow readers to conduct research and ask "Whatif??" Principles of Modeling and Simulation: A MultidisciplinaryApproach is the first book to provide an introduction tomodeling and simulation techniques across diverse areas of study.Numerous researchers from the fields of social science,engineering, computer science, and business have collaborated onthis work to explore the multifaceted uses of computationalmodeling while illustrating their applications in commonspreadsheets. The book is organized into three succinct parts: Principles of Modeling and Simulation provides a briefhistory of modeling and simulation, outlines its many functions,and explores the advantages and disadvantages of using models inproblem solving. Two major reasons to employ modeling andsimulation are illustrated through the study of a specific problemin conjunction with the use of related applications, thus gaininginsight into complex concepts. Theoretical Underpinnings examines various modelingtechniques and introduces readers to two significant simulationconcepts: discrete event simulation and simulation of continuoussystems. This section details the two primary methods in whichhumans interface with simulations, and it also distinguishes themeaning, importance, and significance of verification andvalidation. Practical Domains delves into specific topics related totransportation, business, medicine, social science, and enterprisedecision support. The challenges of modeling and simulation arediscussed, along with advanced applied principles of modeling andsimulation such as representation techniques, integration into theapplication infrastructure, and emerging technologies. With its accessible style and wealth of real-world examples,Principles of Modeling and Simulation: A MultidisciplinaryApproach is a valuable book for modeling and simulation coursesat the upper-undergraduate and graduate levels. It is also anindispensable reference for researchers and practitioners workingin statistics, mathematics, engineering, computer science,economics, and the social sciences who would like to furtherdevelop their understanding and knowledge of the field.
Released on 2012-10-04Categories Computers

Advanced Methods, Techniques, and Applications in Modeling and Simulation

Advanced Methods, Techniques, and Applications in Modeling and Simulation

Author: Jong-Hyun Kim

Publisher: Springer Science & Business Media

ISBN: 9784431542155

Category: Computers

Page: 540

View: 227

This book is a compilation of research accomplishments in the fields of modeling, simulation, and their applications, as presented at AsiaSim 2011 (Asia Simulation Conference 2011). The conference, held in Seoul, Korea, November 16–18, was organized by ASIASIM (Federation of Asian Simulation Societies), KSS (Korea Society for Simulation), CASS (Chinese Association for System Simulation), and JSST (Japan Society for Simulation Technology). AsiaSim 2011 provided a forum for scientists, academicians, and professionals from the Asia-Pacific region and other parts of the world to share their latest exciting research findings in modeling and simulation methodologies, techniques, and their tools and applications in military, communication network, industry, and general engineering problems.
Released on 2010-07-13Categories Mathematics

Modeling and Simulation Fundamentals

Modeling and Simulation Fundamentals

Author: John A. Sokolowski

Publisher: John Wiley & Sons

ISBN: 0470590610

Category: Mathematics

Page: 456

View: 929

An insightful presentation of the key concepts, paradigms, and applications of modeling and simulation Modeling and simulation has become an integral part of research and development across many fields of study, having evolved from a tool to a discipline in less than two decades. Modeling and Simulation Fundamentals offers a comprehensive and authoritative treatment of the topic and includes definitions, paradigms, and applications to equip readers with the skills needed to work successfully as developers and users of modeling and simulation. Featuring contributions written by leading experts in the field, the book's fluid presentation builds from topic to topic and provides the foundation and theoretical underpinnings of modeling and simulation. First, an introduction to the topic is presented, including related terminology, examples of model development, and various domains of modeling and simulation. Subsequent chapters develop the necessary mathematical background needed to understand modeling and simulation topics, model types, and the importance of visualization. In addition, Monte Carlo simulation, continuous simulation, and discrete event simulation are thoroughly discussed, all of which are significant to a complete understanding of modeling and simulation. The book also features chapters that outline sophisticated methodologies, verification and validation, and the importance of interoperability. A related FTP site features color representations of the book's numerous figures. Modeling and Simulation Fundamentals encompasses a comprehensive study of the discipline and is an excellent book for modeling and simulation courses at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners in the fields of computational statistics, engineering, and computer science who use statistical modeling techniques.
Released on 2015-04-21Categories Computers

Modeling and Simulation of Computer Networks and Systems

Modeling and Simulation of Computer Networks and Systems

Author: Mohammad S. Obaidat

Publisher: Morgan Kaufmann

ISBN: 9780128011584

Category: Computers

Page: 964

View: 488

Modeling and Simulation of Computer Networks and Systems: Methodologies and Applications introduces you to a broad array of modeling and simulation issues related to computer networks and systems. It focuses on the theories, tools, applications and uses of modeling and simulation in order to effectively optimize networks. It describes methodologies for modeling and simulation of new generations of wireless and mobiles networks and cloud and grid computing systems. Drawing upon years of practical experience and using numerous examples and illustrative applications recognized experts in both academia and industry, discuss: Important and emerging topics in computer networks and systems including but not limited to; modeling, simulation, analysis and security of wireless and mobiles networks especially as they relate to next generation wireless networks Methodologies, strategies and tools, and strategies needed to build computer networks and systems modeling and simulation from the bottom up Different network performance metrics including, mobility, congestion, quality of service, security and more... Modeling and Simulation of Computer Networks and Systems is a must have resource for network architects, engineers and researchers who want to gain insight into optimizing network performance through the use of modeling and simulation. Discusses important and emerging topics in computer networks and Systems including but not limited to; modeling, simulation, analysis and security of wireless and mobiles networks especially as they relate to next generation wireless networks Provides the necessary methodologies, strategies and tools needed to build computer networks and systems modeling and simulation from the bottom up Includes comprehensive review and evaluation of simulation tools and methodologies and different network performance metrics including mobility, congestion, quality of service, security and more
Released on 2013-03-09Categories Computers

Discrete Event Modeling and Simulation Technologies

Discrete Event Modeling and Simulation Technologies

Author: Hessam S. Sarjoughian

Publisher: Springer Science & Business Media

ISBN: 9781475735543

Category: Computers

Page: 397

View: 687

During the 1990s the computing industry has witnessed many advances in mobile and enterprise computing. Many of these advances have been made possible by developments in the areas such as modeling, simulation, and artificial intelligence. Within the different areas of enterprise computing - such as manufacturing, health organisation, and commerce - the need for a disciplined, multifaceted, and unified approach to modeling and simulation has become essential. This new book provides a forum for scientists, academics, and professionals to present their latest research findings from the various fields: artificial intelligence, collaborative/distributed computing, modeling, and simulation.
Released on 2018-01-30Categories Technology & Engineering

Modeling and Simulation in HPC and Cloud Systems

Modeling and Simulation in HPC and Cloud Systems

Author: Joanna Kołodziej

Publisher: Springer

ISBN: 9783319737676

Category: Technology & Engineering

Page: 155

View: 626

This book consists of eight chapters, five of which provide a summary of the tutorials and workshops organised as part of the cHiPSet Summer School: High-Performance Modelling and Simulation for Big Data Applications Cost Action on “New Trends in Modelling and Simulation in HPC Systems,” which was held in Bucharest (Romania) on September 21–23, 2016. As such it offers a solid foundation for the development of new-generation data-intensive intelligent systems. Modelling and simulation (MS) in the big data era is widely considered the essential tool in science and engineering to substantiate the prediction and analysis of complex systems and natural phenomena. MS offers suitable abstractions to manage the complexity of analysing big data in various scientific and engineering domains. Unfortunately, big data problems are not always easily amenable to efficient MS over HPC (high performance computing). Further, MS communities may lack the detailed expertise required to exploit the full potential of HPC solutions, and HPC architects may not be fully aware of specific MS requirements. The main goal of the Summer School was to improve the participants’ practical skills and knowledge of the novel HPC-driven models and technologies for big data applications. The trainers, who are also the authors of this book, explained how to design, construct, and utilise the complex MS tools that capture many of the HPC modelling needs, from scalability to fault tolerance and beyond. In the final three chapters, the book presents the first outcomes of the school: new ideas and novel results of the research on security aspects in clouds, first prototypes of the complex virtual models of data in big data streams and a data-intensive computing framework for opportunistic networks. It is a valuable reference resource for those wanting to start working in HPC and big data systems, as well as for advanced researchers and practitioners.
Released on 2018-01-05Categories Business & Economics

Modeling and Simulation Techniques for Improved Business Processes

Modeling and Simulation Techniques for Improved Business Processes

Author: Ebrahimi, Maryam

Publisher: IGI Global

ISBN: 9781522532279

Category: Business & Economics

Page: 246

View: 530

Companies are constantly faced with the need to grow and advance in order to compete with other corporations. The implementation of computer innovations allows for smoother transitions to adaptive changes through the use and understanding of analytical tools. Modeling and Simulation Techniques for Improved Business Processes is a critical scholarly resource that examines the systems currently implemented in companies and how they can be upgraded and advanced through various computer design methods. Featuring coverage of a broad range of topics including scenario planning, casual modeling, and system dynamics, this publication is targeted toward researchers, professionals, and engineers searching for current research on corporate innovations created through computer design methods.
Released on 2004-07-12Categories Mathematics

Multiscale Modelling and Simulation

Multiscale Modelling and Simulation

Author: Sabine Attinger

Publisher: Springer Science & Business Media

ISBN: 3540211802

Category: Mathematics

Page: 300

View: 186

In August 2003, ETHZ Computational Laboratory (CoLab), together with the Swiss Center for Scientific Computing in Manno and the Università della Svizzera Italiana (USI), organized the Summer School in "Multiscale Modelling and Simulation" in Lugano, Switzerland. This summer school brought together experts in different disciplines to exchange ideas on how to link methodologies on different scales. Relevant examples of practical interest include: structural analysis of materials, flow through porous media, turbulent transport in high Reynolds number flows, large-scale molecular dynamic simulations, ab-initio physics and chemistry, and a multitude of others. Though multiple scale models are not new, the topic has recently taken on a new sense of urgency. A number of hybrid approaches are now created in which ideas coming from distinct disciplines or modelling approaches are unified to produce new and computationally efficient techniques.
Released on 1990-01-01Categories Mathematics

Nonparametric Function Estimation, Modeling, and Simulation

Nonparametric Function Estimation, Modeling, and Simulation

Author: James R. Thompson

Publisher: SIAM

ISBN: 1611971713

Category: Mathematics

Page: 320

View: 427

Topics emphasized include nonparametric density estimation as an exploratory device plus the deeper models to which the exploratory analysis points, multi-dimensional data analysis, and analysis of remote sensing data, cancer progression, chaos theory, epidemiological modeling, and parallel based algorithms. New methods discussed are quick nonparametric density estimation based techniques for resampling and simulation based estimation techniques not requiring closed form solutions.
Released on 2001-12-20Categories Architecture

Modeling and Simulation Based Life-Cycle Engineering

Modeling and Simulation Based Life-Cycle Engineering

Author: Ken Chong

Publisher: CRC Press

ISBN: 0415266440

Category: Architecture

Page: 364

View: 133

Advances in computational power have facilitated the development of simulations unprecedented in their computational size, scope of technical issues, spatial and temporal resolution, complexity and comprehensiveness. As a result, complex structures from airplanes to bridges can be almost completely based on model-based simulations. This book gives a state-of-the-art account of modeling and simulation of the life cycle of engineered systems, covering topics of design, fabrication, maintenance and disposal. Providing comprehensive coverage of this rapidly emerging field, Modeling and Simulation-Based Life Cycle Engineering is essential reading for civil, mechanical and manufacturing engineers. It will also appeal to students and academics in this area.
Released on 2012-07-09Categories Computers

Advances in Applied Human Modeling and Simulation

Advances in Applied Human Modeling and Simulation

Author: Vincent G. Duffy

Publisher: CRC Press

ISBN: 9781439870327

Category: Computers

Page: 578

View: 228

An examination of the various types of human-modeled technology, Advances in Applied Human Modeling and Simulation not only covers the type of models available, but how they can be applied to solve specific problems. These models provide a representation of some human aspects that can be inserted into simulations or virtual environments and facilitate prediction of safety, satisfaction, usability, performance, and sustainability. Topics include: Anthropometry and human functional data Biomechanics, occupational safety, comfort and discomfort Biometric authentications Driving safety and human performance Enhancing human capabilities through aids or training Fuzzy systems and neural computing Human behavior and risk assessment modeling Integrating software with humans and systems International cooperation in education and engineering research Intelligent agents in decision training Intelligent data and text mining Machine learning and human factors Modeling physical aspects of work Monitoring systems and human decision Psychophysiological indicators of emotion Resilience engineering and human reliability Scenario-based performance in distributed enterprises Special populations Sustainability, earth sciences and engineering System-of-systems architecting and engineering Verification and validation Virtual interactive design and assessment The math and science provides a foundation for visualizations that can facilitate decision making by technical experts, management or those responsible for public policy. In considering a systems perspective and decisions that affect performance, these models provide opportunities for an expanded role of engineers and HF/E specialists to meet technical challenges worldwide. They can also be used to improve time-to-market, increase safety and ultimately the effectiveness of an organization. The book focuses on applications of these newly developed models and predictive capabilities useful to human factors and ergonomics engineers, cognitive engineers, human computer interaction engineers, human performance modeling engineers, and students in related fields.