Local Fusions
Local Fusions

Author: Barbara Rose Lange

Publisher: Oxford University Press

Published: 2018

Total Pages: 257

ISBN-13: 0190245360

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In Local Fusions, author Barbara Rose Lange explores musical life in Hungary, Slovakia, and Austria between the end of the Cold War and the world financial crisis of 2008. With case studies from Budapest, Bratislava, and Vienna, the book looks at the ways that artists generated social commentary and tried new ways of working together as the political and economic atmosphere shifted during this time. Drawn from a variety of sources, the case studies illustrate how young musicians redefined a Central European history of elevating the arts by fusing poetry, local folk music, and other vernacular music with jazz, Asian music, art music, and electronic dance music. Their projects rejected exclusion based on ethnic background or gender prevalent in Central Europe's present far-right political movements, and instead embraced diverse modes of expression. Through this, the musicians asserted woman power, broadened masculinities, and declared affinity with regional minorities such as the Romani people.

Fusion Systems in Algebra and Topology
Fusion Systems in Algebra and Topology

Author: Michael Aschbacher

Publisher: Cambridge University Press

Published: 2011-08-25

Total Pages: 329

ISBN-13: 1107601002

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A fusion system over a p-group S is a category whose objects form the set of all subgroups of S, whose morphisms are certain injective group homomorphisms, and which satisfies axioms first formulated by Puig that are modelled on conjugacy relations in finite groups. The definition was originally motivated by representation theory, but fusion systems also have applications to local group theory and to homotopy theory. The connection with homotopy theory arises through classifying spaces which can be associated to fusion systems and which have many of the nice properties of p-completed classifying spaces of finite groups. Beginning with a detailed exposition of the foundational material, the authors then proceed to discuss the role of fusion systems in local finite group theory, homotopy theory and modular representation theory. This book serves as a basic reference and as an introduction to the field, particularly for students and other young mathematicians.

Fusion for Beginners and Experts
Fusion for Beginners and Experts

Author: Rebecca Sugar

Publisher: Penguin

Published: 2017-12-26

Total Pages: 35

ISBN-13: 1524789917

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A new book about love and friendship by New York Times bestselling author and creator of Steven Universe, Rebecca Sugar. When Gems fuse, their forms combine to create a Gem that is bigger, stronger, and more powerful than they are apart. But more importantly, Fusion is a process built on love, trust, and communication. It's like a dance that is perfectly in sync, or a conversation filled with perfect understanding. Learn all about Fusion with Steven, Garnet, Amethyst, Pearl, and the rest of the Gems on Earth as they share what Fusion—and love—mean to them. A perfect gift for Valentine’s Day or any special occasion.

Image Fusion
Image Fusion

Author: Tania Stathaki

Publisher: Elsevier

Published: 2011-08-29

Total Pages: 519

ISBN-13: 0080558526

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The growth in the use of sensor technology has led to the demand for image fusion: signal processing techniques that can combine information received from different sensors into a single composite image in an efficient and reliable manner. This book brings together classical and modern algorithms and design architectures, demonstrating through applications how these can be implemented. Image Fusion: Algorithms and Applications provides a representative collection of the recent advances in research and development in the field of image fusion, demonstrating both spatial domain and transform domain fusion methods including Bayesian methods, statistical approaches, ICA and wavelet domain techniques. It also includes valuable material on image mosaics, remote sensing applications and performance evaluation. This book will be an invaluable resource to R&D engineers, academic researchers and system developers requiring the most up-to-date and complete information on image fusion algorithms, design architectures and applications. Combines theory and practice to create a unique point of reference Contains contributions from leading experts in this rapidly-developing field Demonstrates potential uses in military, medical and civilian areas

Distributed Data Fusion for Network-Centric Operations
Distributed Data Fusion for Network-Centric Operations

Author: David Hall

Publisher: CRC Press

Published: 2017-12-19

Total Pages: 501

ISBN-13: 1351833057

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With the recent proliferation of service-oriented architectures (SOA), cloud computing technologies, and distributed-interconnected systems, distributed fusion is taking on a larger role in a variety of applications—from environmental monitoring and crisis management to intelligent buildings and defense. Drawing on the work of leading experts around the world, Distributed Data Fusion for Network-Centric Operations examines the state of the art of data fusion in a distributed sensing, communications, and computing environment. Get Insight into Designing and Implementing Data Fusion in a Distributed Network Addressing the entirety of information fusion, the contributors cover everything from signal and image processing, through estimation, to situation awareness. In particular, the work offers a timely look at the issues and solutions involving fusion within a distributed network enterprise. These include critical design problems, such as how to maintain a pedigree of agents or nodes that receive information, provide their contribution to the dataset, and pass to other network components. The book also tackles dynamic data sharing within a network-centric enterprise, distributed fusion effects on state estimation, graph-theoretic methods to optimize fusion performance, human engineering factors, and computer ontologies for higher levels of situation assessment. A comprehensive introduction to this emerging field and its challenges, the book explores how data fusion can be used within grid, distributed, and cloud computing architectures. Bringing together both theoretical and applied research perspectives, this is a valuable reference for fusion researchers and practitioners. It offers guidance and insight for those working on the complex issues of designing and implementing distributed, decentralized information fusion.

Multisensor Data Fusion
Multisensor Data Fusion

Author: Hassen Fourati

Publisher: CRC Press

Published: 2017-12-19

Total Pages: 639

ISBN-13: 1482263750

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Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice of multisensor data fusion, from fundamental concepts to cutting-edge techniques drawn from a broad array of disciplines. Featuring contributions from the world’s leading data fusion researchers and academicians, this authoritative book: Presents state-of-the-art advances in the design of multisensor data fusion algorithms, addressing issues related to the nature, location, and computational ability of the sensors Describes new materials and achievements in optimal fusion and multisensor filters Discusses the advantages and challenges associated with multisensor data fusion, from extended spatial and temporal coverage to imperfection and diversity in sensor technologies Explores the topology, communication structure, computational resources, fusion level, goals, and optimization of multisensor data fusion system architectures Showcases applications of multisensor data fusion in fields such as medicine, transportation's traffic, defense, and navigation Multisensor Data Fusion: From Algorithms and Architectural Design to Applications is a robust collection of modern multisensor data fusion methodologies. The book instills a deeper understanding of the basics of multisensor data fusion as well as a practical knowledge of the problems that can be faced during its execution.

Distributed Fusion Estimation for Sensor Networks with Communication Constraints
Distributed Fusion Estimation for Sensor Networks with Communication Constraints

Author: Wen-An Zhang

Publisher: Springer

Published: 2016-05-27

Total Pages: 219

ISBN-13: 9811007950

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This book systematically presents energy-efficient robust fusion estimation methods to achieve thorough and comprehensive results in the context of network-based fusion estimation. It summarizes recent findings on fusion estimation with communication constraints; several novel energy-efficient and robust design methods for dealing with energy constraints and network-induced uncertainties are presented, such as delays, packet losses, and asynchronous information... All the results are presented as algorithms, which are convenient for practical applications.

The Way Forward with Fusion Centers
The Way Forward with Fusion Centers

Author: United States. Congress. House. Committee on Homeland Security. Subcommittee on Intelligence, Information Sharing, and Terrorism Risk Assessment

Publisher:

Published: 2009

Total Pages: 64

ISBN-13:

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Multisensor Decision And Estimation Fusion
Multisensor Decision And Estimation Fusion

Author: Yunmin Zhu

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 248

ISBN-13: 1461510457

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YUNMIN ZHU In the past two decades, multi sensor or multi-source information fusion tech niques have attracted more and more attention in practice, where observations are processed in a distributed manner and decisions or estimates are made at the individual processors, and processed data (or compressed observations) are then transmitted to a fusion center where the final global decision or estimate is made. A system with multiple distributed sensors has many advantages over one with a single sensor. These include an increase in the capability, reliability, robustness and survivability of the system. Distributed decision or estimation fusion prob lems for cases with statistically independent observations or observation noises have received significant attention (see Varshney's book Distributed Detec tion and Data Fusion, New York: Springer-Verlag, 1997, Bar-Shalom's book Multitarget-Multisensor Tracking: Advanced Applications, vol. 1-3, Artech House, 1990, 1992,2000). Problems with statistically dependent observations or observation noises are more difficult and have received much less study. In practice, however, one often sees decision or estimation fusion problems with statistically dependent observations or observation noises. For instance, when several sensors are used to detect a random signal in the presence of observation noise, the sensor observations could not be statistically independent when the signal is present. This book provides a more complete treatment of the fundamentals of multi sensor decision and estimation fusion in order to deal with general random ob servations or observation noises that are correlated across the sensors.