Smart Modelling For Engineering Systems
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Smart Modelling For Engineering Systems
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Author : Margarita N. Favorskaya
language : en
Publisher: Springer Nature
Release Date : 2021-01-30
Smart Modelling For Engineering Systems written by Margarita N. Favorskaya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-30 with Technology & Engineering categories.
This book is a collection of research papers selected for presentation at the International Conference on Smart Computational Methods in Continuum Mechanics 2021, organized by Moscow Institute of Physics and Technology and the Institute for Computer Aided Design of Russian Academy of Sciences. The work is presented in two volumes. The primary objective of the book is to report the state-of-the-art on smart computational paradigms in continuum mechanics and explore the use of artificial intelligence paradigms such as neural nets and machine learning for improving the performance of the designed engineering systems. The book includes up-to-date smart computational methods which are used to solve problems in continuum mechanics, engineering, seismic prospecting, non-destructive testing, and so on. The main features of the book are the research papers on the application of novel smart methods including neural nets and machine learning, computational algorithms, smart software systems, and high-performance computer systems for solving complex engineering problems. The case studies pertaining to the real-world applications in the above fields are included. The book presents a collection of best research papers in English language from some of the world leaders in the field of smart system modelling and design of engineering systems.
Intelligent Engineering Systems And Computational Cybernetics
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Author : J.A. Tenreiro Machado
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-12-18
Intelligent Engineering Systems And Computational Cybernetics written by J.A. Tenreiro Machado and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-18 with Computers categories.
Engineering practice often has to deal with complex systems of multiple variable and multiple parameter models almost always with strong non-linear coupling. The conventional analytical techniques-based approaches for describing and predicting the behaviour of such systems in many cases are doomed to failure from the outset, even in the phase of the construction of a more or less appropriate mathematical model. These approaches normally are too categorical in the sense that in the name of “modelling accuracy” they try to describe all the structural details of the real physical system to be modelled. This can significantly increase the intricacy of the model and may result in a enormous computational burden without achieving considerable improvement of the solution. The best paradigm exemplifying this situation may be the classic perturbation theory: the less significant the achievable correction, the more work has to be invested to obtain it. A further important component of machine intelligence is a kind of “structural uniformity” giving room and possibility to model arbitrary particular details a priori not specified and unknown. This idea is similar to the ready-to-wear industry, which introduced products, which can be slightly modified later on in contrast to tailor-made creations aiming at maximum accuracy from the beginning. These subsequent corrections can be carried out by machines automatically. This “learning ability” is a key element of machine intelligence. The past decade confirmed that the view of typical components of the present soft computing as fuzzy logic, neural computing, evolutionary computation and probabilistic reasoning are of complementary nature and that the best results can be applied by their combined application. Today, the two complementary branches of Machine Intelligence, that is, Artificial Intelligence and Computational Intelligence serve as the basis of Intelligent Engineering Systems. Thehuge number of scientific results published in Journal and conference proceedings worldwide substantiates this statement. The present book contains several articles taking different viewpoints in the field of intelligent systems.
Modeling And Simulation Techniques In Structural Engineering
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Author : Samui, Pijush
language : en
Publisher: IGI Global
Release Date : 2016-08-12
Modeling And Simulation Techniques In Structural Engineering written by Samui, Pijush and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-12 with Technology & Engineering categories.
The development of new and effective analytical and numerical models is essential to understanding the performance of a variety of structures. As computational methods continue to advance, so too do their applications in structural performance modeling and analysis. Modeling and Simulation Techniques in Structural Engineering presents emerging research on computational techniques and applications within the field of structural engineering. This timely publication features practical applications as well as new research insights and is ideally designed for use by engineers, IT professionals, researchers, and graduate-level students.
Advances In Knowledge Based And Intelligent Information And Engineering Systems
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Author : Manuel Graña
language : en
Publisher: IOS Press
Release Date : 2012
Advances In Knowledge Based And Intelligent Information And Engineering Systems written by Manuel Graña and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computers categories.
In this 2012 edition of Advances in Knowledge-Based and Intelligent Information and Engineering Systems the latest innovations and advances in Intelligent Systems and related areas are presented by leading experts from all over the world. The 228 papers that are included cover a wide range of topics. One emphasis is on Information Processing, which has become a pervasive phenomenon in our civilization. While the majority of Information Processing is becoming intelligent in a very broad sense, major research in Semantics, Artificial Intelligence and Knowledge Engineering supports the domain specific applications that are becoming more and more present in our everyday living. Ontologies play a major role in the development of Knowledge Engineering in various domains, from Semantic Web down to the design of specific Decision Support Systems. Research on Ontologies and their applications is a highly active front of current Computational Intelligence science that is addressed here. Other subjects in this volume are modern Machine Learning, Lattice Computing and Mathematical Morphology.The wide scope and high quality of these contributions clearly show that knowledge engineering is a continuous living and evolving set of technologies aimed at improving the design and understanding of systems and their relations with humans.
Smart Engineering System Design
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Author :
language : en
Publisher:
Release Date : 2001
Smart Engineering System Design written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Artificial intelligence categories.
Emphasizing applications to engineering, approximately 160 papers from the November 2001 conference in St. Louis cover topics such as neural networks, evolutionary programming, fuzzy systems, data mining, complex systems, adaptive control, pattern recognition, prediction, biology and medicine, and smart engineering systems. Contributors include electrical and computer engineers, communications specialists, mathematicians, artificial intelligence researchers, industrial and mechanical engineers, information technology researchers, biomedical engineers, and other scientists from around the world. c. Book News Inc.
Petri Nets For Systems Engineering
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Author : Claude Girault
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14
Petri Nets For Systems Engineering written by Claude Girault and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Computers categories.
Formal methods for the specification and verification of hardware and software systems are becoming more and more important as systems increase in size and complexity. The aim of the book is to illustrate progress in formal methods, based on Petri net formalisms. It contains a collection of examples arising from different fields, such as flexible manufacturing, telecommunication and workflow management systems. The book covers the main phases in the life cycle of design and implementation of a system, i.e., specification, model checking techniques for verification, analysis of properties, code generation, and execution of models. These techniques and their tool support are discussed in detail including practical issues. Amongst others, fundamental concepts such as composition, abstraction, and reusability of models, model verification, and verification of properties are systematically introduced.
Engineering Analysis Of Smart Material Systems
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Author : Donald J. Leo
language : en
Publisher: John Wiley & Sons
Release Date : 2007-09-10
Engineering Analysis Of Smart Material Systems written by Donald J. Leo and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-10 with Technology & Engineering categories.
The book provides a pedagogical approach that emphasizes the physical processes of active materials and the design and control of engineering systems. It will also be a reference text for practicing engineers who might understand the basic principles of active materials but have an interest in learning more about specific applications. The text includes a number of worked examples, design problems, and homework problems (with a solutions manual) that will be useful for both instructors and practicing engineers.
Intelligent And Sustainable Engineering Systems For Industry 4 0 And Beyond
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Author : Tulsi Pawan Fowdur
language : en
Publisher: CRC Press
Release Date : 2025-02-21
Intelligent And Sustainable Engineering Systems For Industry 4 0 And Beyond written by Tulsi Pawan Fowdur and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-21 with Technology & Engineering categories.
The Fourth Industrial Revolution, Industry 4.0, aims to significantly improve the flexibility, versatility, usability and efficiency of future smart factories. However, the concept of Industry 4.0 is not only limited to the factory but also encompasses the entire life cycle of the product, that is, from production and suppliers, to end users. Industry 4.0 delivers seamless vertical and horizontal integration down the entire value chain and across all layers of the automation pyramid. Industry 4.0 has its roots in a project for the high‐tech strategy of the German Government back in 2011, which led to the progression of cyber-physical systems into cyber-physical production systems (CPPS). CPPS can make intelligent decisions through real‐time communication and cooperation between manufacturing entities. Smart Factory, which is based on CPPS and artificial intelligence (AI), is one of the key associated initiatives of Industry 4.0. This enables flexible production of high‐quality personalized products with mass efficiency. Another important aspect of Industry 4.0 is sustainable engineering systems that can help make its processes align with the United Nations Sustainable Development Goals (UN SDGs). Sustainable and intelligent engineering systems such as 5G, Industrial IoT, robotics and automation, renewable energy, logistics and even intelligent waste management can be the main enablers of Industry 4.0. This is a multidisciplinary book and is meant for anyone with a basic engineering background interested in acquiring a solid foundation in the fundamental concepts and state‐of‐the‐art research trends in Industry 4.0. It explores the application of AI and machine learning as well as sustainable engineering systems, which can be the main drivers for Industry 4.0 and beyond and have a significant impact on the UN SDGs.
Smart Engineering System Design
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Author : Cihan H. Dagli
language : en
Publisher: American Society of Mechanical Engineers
Release Date : 2000
Smart Engineering System Design written by Cihan H. Dagli and has been published by American Society of Mechanical Engineers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computers categories.
Contains the 170 technical presentations from the November 2000 conference. The papers focus on building smart components to engineering systems currently available. The term smart in this context indicates physical systems that can interact with their environment and adapt to changes in both space and time. In addition to the technologies stated in the volume title, the papers also discuss adaptive control, pattern recognition, biology, and medicine. Topics include a neural network for segmentation of line drawings into lines of different orientations, evolutionary synthesis of logic functions using multiplexers, visualizing data association using self- organizing feature maps, a fuzzy knowledge model for estimating the depth of anesthesia, prediction of welding droplet release using time series data mining, and critical dimension control in semiconductor manufacturing. Annotation copyrighted by Book News, Inc., Portland, OR.
Smart Machining Systems
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Author : Kunpeng Zhu
language : en
Publisher: Springer Nature
Release Date : 2021-11-23
Smart Machining Systems written by Kunpeng Zhu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-23 with Technology & Engineering categories.
This book provides the tools to enhance the precision, automation and intelligence of modern CNC machining systems. Based on a detailed description of the technical foundations of the machining monitoring system, it develops the general idea of design and implementation of smart machining monitoring systems, focusing on the tool condition monitoring system. The book is structured in two parts. Part I discusses the fundamentals of machining systems, including modeling of machining processes, mathematical basics of condition monitoring and the framework of TCM from a machine learning perspective. Part II is then focused on the applications of these theories. It explains sensory signal processing and feature extraction, as well as the cyber-physical system of the smart machining system. Its utilisation of numerous illustrations and diagrams explain the ideas presented in a clear way, making this book a valuable reference for researchers, graduate students and engineers alike.