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Taschenbuch. Zustand: Neu. Neuware -This book constitutes the refereed proceedings of the Third International Conference on Dynamic Data Driven Application Systems, DDDAS 2020, held in Boston, MA, USA, in October 2020.The 21 full papers and 14 short papers presented in this volume were carefully reviewed and selected from 40 submissions. They cover topics such as: digital twins; environment cognizant adaptive-planning systems; energy systems; materials systems; physics-based systems analysis; imaging methods and systems; and learning systems.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 376 pp. Englisch.

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Taschenbuch. Zustand: Neu. Neuware -This text reviews the fundamental theory and latest methods for including contextual information in fusion process design and implementation. Chapters are contributed by the foremost international experts, spanning numerous developments and applications. The book highlights high- and low-level information fusion problems, performance evaluation under highly demanding conditions, and design principles. A particular focus is placed on approaches that integrate research from different communities, emphasizing the benefit of combining different techniques to overcome the limitations of a single perspective. Features: introduces the terminology and core elements in information fusion and context; presents key themes for context-enhanced information fusion; discusses design issues in developing context-aware fusion systems; provides mathematical grounds for modeling the contextual influences in representative fusion problems; describes the fusion of hard and soft data; reviews a diverse range of applications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 724 pp. Englisch.

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Taschenbuch. Zustand: Neu. Neuware -This Second Volume in the series Handbook of Dynamic Data Driven Applications Systems (DDDAS) expands the scope of the methods and the application areas presented in the first Volume and aims to provide additional and extended content of the increasing set of science and engineering advances for new capabilities enabled through DDDAS. The methods and examples of breakthroughs presented in the book series capture the DDDAS paradigm and its scientific and technological impact and benefits. The DDDAS paradigm and the ensuing DDDAS-based frameworks for systems¿ analysis and design have been shown to engender new and advanced capabilities for understanding, analysis, and management of engineered, natural, and societal systems (¿applications systems¿), and for the commensurate wide set of scientific and engineering fields and applications, as well as foundational areas. The DDDAS book series aims to be a reference source of many of the important research and development efforts conducted under the rubric of DDDAS, and to also inspire the broader communities of researchers and developers about the potential in their respective areas of interest, of the application and the exploitation of the DDDAS paradigm and the ensuing frameworks, through the examples and case studies presented, either within their own field or other fields of study. As in the first volume, the chapters in this book reflect research work conducted over the years starting in the 1990¿s to the present. Here, the theory and application content are considered for:Foundational MethodsMaterials SystemsStructural SystemsEnergy SystemsEnvironmental Systems: Domain Assessment & Adverse Conditions/WildfiresSurveillance SystemsSpace Awareness SystemsHealthcare SystemsDecision Support SystemsCyber Security SystemsDesign of Computer SystemsThe readers of this book series will benefit from DDDAS theory advances such as object estimation, information fusion, and sensor management. The increased interest in Artificial Intelligence (AI), Machine Learning and Neural Networks (NN) provides opportunities for DDDAS-based methods to show the key role DDDAS plays in enabling AI capabilities; address challenges that ML-alone does not, and also show how ML in combination with DDDAS-based methods can deliver the advanced capabilities sought; likewise, infusion of DDDAS-like approaches in NN-methods strengthens such methods. Moreover, the ¿DDDAS-based Digital Twin¿ or ¿Dynamic Digital Twin¿, goes beyond the traditional DT notion where the model and the physical system are viewed side-by-side in a static way, to a paradigm where the model dynamically interacts with the physical system through its instrumentation, (per the DDDAS feed-back control loop between model and instrumentation).Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 968 pp. Englisch.

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Hardcover. Zustand: New. HardCover.Pub Date:2023-02 Pages:556 Language:Publisher:National Defense Industry Press The book Guide to Dynamic Data-Driven Application Systems is based on the research results of the DDDAS seminar held in Hartford. Connecticut in 2016. It introduces dynamic data-driven application systems. measurement perception (data assimilation and uncertainty quantification). signal perception (process monitoring). structure perception (health modeling). environmental perception (earth. biological and .

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Hardcover. Zustand: New. HardCover. Pub Date: 2016-01-01 Pages: 237 Language: Chinese Publisher: National Defense Industry Press senior information management and system integration design (Vol.2) is a more systematic study Guoneishoubu level information fusion. including the upper and lower two. is divided into five parts. namely. the basic concepts of information fusion. information fusion and distributed management. human computer interaction. scenario-based design. information fusion effectiveness Evaluation. Rel.

Hardcover. Zustand: New. HardCover. Pub Date: 2016-01-01 Pages: 274 Language: Chinese Publisher: National Defense Industry Press senior information management and system integration design (Vol.1) is Guoneishoubu more systematic study of special high-level information fusion *. including upper and lower two. is divided into five parts. namely. the basic concepts of information fusion. information fusion and distributed management. human computer interaction. scenario-based design. information fusion effectiveness Eva.