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Published by Rutgers University Press, 2022
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Published by Springer Netherlands, 2010
ISBN 10: 9048159997 ISBN 13: 9789048159994
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Published by Springer Netherlands, 2002
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Taschenbuch. Condition: Neu. Nonlinear and Stochastic Dynamics of Compliant Offshore Structures | Seon Mi Han (u. a.) | Taschenbuch | xiii | Englisch | 2010 | Springer | EAN 9789048159994 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Kluwer Academic Publishers, 2002
ISBN 10: 1402005733 ISBN 13: 9781402005732
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Condition: New. Shows how to model a compliant offshore structure in an ocean environment. This book presents a history and a review of the four existing transverse beam models such as: Euler-Bernoulli, Rayleigh, shear and Timoshenko models. It provides a description of the numerical methods so that the reader can adapt these methods to particular problems. Series: Solid Mechanics and its Applications. Num Pages: 288 pages, biography. BIC Classification: PBWH; TTSH. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 17. Weight in Grams: 586. . 2002. 2002nd Edition. hardcover. . . . .
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Language: English
Published by Springer Nature Singapore, 2021
ISBN 10: 9811649626 ISBN 13: 9789811649622
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 268 | Sprache: Englisch | Produktart: Bücher | Recently machine learning schemes have attained significant attention as key enablers for next-generation wireless systems. Currently, wireless systems are mostly using machine learning schemes that are based on centralizing the training and inference processes by migrating the end-devices data to a third party centralized location. However, these schemes lead to end-devices privacy leakage. To address these issues, one can use a distributed machine learning at network edge. In this context, federated learning (FL) is one of most important distributed learning algorithm, allowing devices to train a shared machine learning model while keeping data locally. However, applying FL in wireless networks and optimizing the performance involves a range of research topics. For example, in FL, training machine learning models require communication between wireless devices and edge servers via wireless links. Therefore, wireless impairments such as uncertainties among wireless channel states, interference, and noise significantly affect the performance of FL. On the other hand, federated-reinforcement learning leverages distributed computation power and data to solve complex optimization problems that arise in various use cases, such as interference alignment, resource management, clustering, and network control. Traditionally, FL makes the assumption that edge devices will unconditionally participate in the tasks when invited, which is not practical in reality due to the cost of model training. As such, building incentive mechanisms is indispensable for FL networks. This book provides a comprehensive overview of FL for wireless networks. It is divided into three main parts: The first part briefly discusses the fundamentals of FL for wireless networks, while the second part comprehensively examines the design and analysis of wireless FL, covering resource optimization, incentive mechanism, security and privacy. It also presents several solutions based on optimizationtheory, graph theory, and game theory to optimize the performance of federated learning in wireless networks. Lastly, the third part describes several applications of FL in wireless networks.
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The purpose of this monograph is to show how a compliant offshore structure in an ocean environment can be modeled in two and three di mensions. The monograph is divided into five parts. Chapter 1 provides the engineering motivation for this work, that is, offshore structures. These are very complex structures used for a variety of applications. It is possible to use beam models to initially study their dynamics. Chapter 2 is a review of variational methods, and thus includes the topics: princi ple of virtual work, D'Alembert's principle, Lagrange's equation, Hamil ton's principle, and the extended Hamilton's principle. These methods are used to derive the equations of motion throughout this monograph. Chapter 3 is a review of existing transverse beam models. They are the Euler-Bernoulli, Rayleigh, shear and Timoshenko models. The equa tions of motion are derived and solved analytically using the extended Hamilton's principle, as outlined in Chapter 2. For engineering purposes, the natural frequencies of the beam models are presented graphically as functions of normalized wave number and geometrical and physical pa rameters. Beam models are useful as representations of complex struc tures. In Chapter 4, a fluid force that is representative of those that act on offshore structures is formulated. The environmental load due to ocean current and random waves is obtained using Morison's equa tion. The random waves are formulated using the Pierson-Moskowitz spectrum with the Airy linear wave theory.
Language: English
Published by Springer Netherlands, 2002
ISBN 10: 9048159997 ISBN 13: 9789048159994
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Language: English
Published by Kluwer Academic Publishers, 2002
ISBN 10: 1402005733 ISBN 13: 9781402005732
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Condition: New. Shows how to model a compliant offshore structure in an ocean environment. This book presents a history and a review of the four existing transverse beam models such as: Euler-Bernoulli, Rayleigh, shear and Timoshenko models. It provides a description of the numerical methods so that the reader can adapt these methods to particular problems. Series: Solid Mechanics and its Applications. Num Pages: 288 pages, biography. BIC Classification: PBWH; TTSH. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 17. Weight in Grams: 586. . 2002. 2002nd Edition. hardcover. . . . . Books ship from the US and Ireland.
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Published by Springer, Berlin|Springer Nature Singapore|Springer, 2022
ISBN 10: 9811649650 ISBN 13: 9789811649653
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recently machine learning schemes have attained significant attention as key enablers for next-generation wireless systems. Currently, wireless systems are mostly using machine learning schemes that are based on centralizing the training and inference pr.