Proceedings

Proceedings

Author:

Publisher:

Published: 1997

Total Pages: 244

ISBN-13: 9780818679346

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This text on computer simulation covers such topics as: parallel and distributed simulation; object-oriented simulation with Java; simulation languages, tools and environments; network modelling and simulation; and logic and VLSI circuit simulation."


AI, Simulation and Planning in High Automony Systems

AI, Simulation and Planning in High Automony Systems

Author:

Publisher:

Published: 1993

Total Pages: 346

ISBN-13:

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Annotation Proceedings of the Fourth Annual Conference on [title] held in Tucson, Arizona, September 1993. Contributors explore the perplexing theme of integrating virtual reality and model-based environments. Discussion encompasses VR concepts, technology, and applications. No index. Annotation copyright by Book News, Inc., Portland, OR.


Discrete Event Modeling and Simulation Technologies

Discrete Event Modeling and Simulation Technologies

Author: Hessam S. Sarjoughian

Publisher: Springer Science & Business Media

Published: 2013-03-09

Total Pages: 420

ISBN-13: 1475735545

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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.


Artificial Intelligence and Simulation

Artificial Intelligence and Simulation

Author: Tag G. Kim

Publisher: Springer Science & Business Media

Published: 2005-01-31

Total Pages: 725

ISBN-13: 354024476X

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This book constitutes the refereed post-proceedings of the 13th International Conference on AI, Simulation, and Planning in High Autonomy Systems, AIS 2004, held in Jeju Island, Korea in October 2004. The 74 revised full papers presented together with 2 invited keynote papers were carefully reviewed and selected from 170 submissions; after the conference, the papers went through another round of revision. The papers are organized in topical sections on modeling and simulation methodologies, intelligent control, computer and network security, HLA and simulator interoperation, manufacturing, agent-based modeling, DEVS modeling and simulation, parallel and distributed modeling and simulation, mobile computer networks, Web-based simulation and natural systems, modeling and simulation environments, AI and simulation, component-based modeling, watermarking and semantics, graphics, visualization and animation, and business modeling.


Advances in Production Management Systems: Innovative and Knowledge-Based Production Management in a Global-Local World

Advances in Production Management Systems: Innovative and Knowledge-Based Production Management in a Global-Local World

Author: Bernard Grabot

Publisher: Springer

Published: 2014-08-26

Total Pages: 612

ISBN-13: 3662447339

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The three volumes IFIP AICT 438, 439, and 440 constitute the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2014, held in Ajaccio, France, in September 2014. The 233 revised full papers were carefully reviewed and selected from 271 submissions. They are organized in 6 parts: knowledge discovery and sharing; knowledge-based planning and scheduling; knowledge-based sustainability; knowledge-based services; knowledge-based performance improvement, and case studies.


Robot Vision

Robot Vision

Author: Gerald Sommer

Publisher: Springer

Published: 2008-01-29

Total Pages: 477

ISBN-13: 3540781579

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In 1986, B.K.P. Horn published a book entitled Robot Vision, which actually discussed a wider ?eld of subjects, basically addressing the ?eld of computer vision, but introducing “robot vision” as a technical term. Since then, the - teraction between computer vision and research on mobile systems (often called “robots”, e.g., in an industrial context, but also including vehicles, such as cars, wheelchairs, tower cranes, and so forth) established a diverse area of research, today known as robot vision. Robot vision (or, more general, robotics) is a fast-growing discipline, already taught as a dedicated teaching program at university level. The term “robot vision” addresses any autonomous behavior of a technical system supported by visual sensoric information. While robot vision focusses on the vision process, visual robotics is more directed toward control and automatization. In practice, however, both ?elds strongly interact. Robot Vision 2008 was the second international workshop, counting a 2001 workshop with identical name as the ?rst in this series. Both workshops were organized in close cooperation between researchers from New Zealand and Germany, and took place at The University of Auckland, New Zealand. Participants of the 2008 workshop came from Europe, USA, South America, the Middle East, the Far East, Australia, and of course from New Zealand.


Modeling and Simulation in the Systems Engineering Life Cycle

Modeling and Simulation in the Systems Engineering Life Cycle

Author: Margaret L. Loper

Publisher: Springer

Published: 2015-04-30

Total Pages: 405

ISBN-13: 144715634X

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This easy to read text provides a broad introduction to the fundamental concepts of modeling and simulation (M&S) and systems engineering, highlighting how M&S is used across the entire systems engineering lifecycle. Features: reviews the full breadth of technologies, methodologies and uses of M&S, rather than just focusing on a specific aspect of the field; presents contributions from specialists in each topic covered; introduces the foundational elements and processes that serve as the groundwork for understanding M&S; explores common methods and methodologies used in M&S; discusses how best to design and execute experiments, covering the use of Monte Carlo techniques, surrogate modeling and distributed simulation; explores the use of M&S throughout the systems development lifecycle, describing a number of methods, techniques, and tools available to support systems engineering processes; provides a selection of case studies illustrating the use of M&S in systems engineering across a variety of domains.