Handbook of Dynamic Data Driven Applications Systems
Volume 2
Buch in deiner Nähe kaufen
Beschreibung
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 ofmany of the important research and development efforts conducted under the rubric of DDDAS through the examples and case studies presented, either within their own field or other fields of study.
DDDAS has proven to be a transformative technology as data has become the third part of the triad, with theory and computation as the other two parts. Initially DDDAS was part of control theory but as data have become ubiquitous there has been a paradigm shift, initiated by DDDAS, from simulation to effectively using data for prediction.
John Cherniavsky, retired, as Division Director, NSF - US National Science Foundation
The DDDAS paradigm integrates and enhances the deepest, most well-grounded foundations and tools - both from expert based methods and from learning-based methods, building well beyond more popular and limited forms of AI. This book provides a unique breadth and depth of scope across many science and technology fields, showing how DDDAS is an overarching concept that connects and unifies the wide diversity across these fields.
Paul Werbos, retired, as Program Director, NSF - US National Science Foundation
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 Methods
- Materials Systems
- Structural Systems
- Energy Systems
- Environmental Systems: Domain Assessment & Adverse Conditions/Wildfires
- Surveillance Systems
- Space Awareness Systems
- Healthcare Systems
- Decision Support Systems
- Cyber Security Systems
- Design of Computer Systems
Expands the scope of the methods and the application areas presented in the first volume In-depth discussions reflecting the adoption of DDDAS paradigm from leading experts in various domain Includes examples for new and advanced methods in command and control, swarm analysis, and structural health monitoring
Autor*in
Frederica Darema
Themen in »Handbook of Dynamic Data Driven Applications Systems«
DDDAS Controls Instrumentation Dynamic Systems High performance computing InfoSymbiotics Cyber physical systems UAVs data fusion feature fusion decision fusion information fusion Modeling and Analysis Environmental Analysis Environmental Modeling
Stimmen zu »Handbook of Dynamic Data Driven Applications Systems«
()
“DDDAS has proven to be a transformative technology as data has become the third part of the triad, with theory and computation as the other two parts. Initially DDDAS was part of control theory but as data have become ubiquitous there has been a paradigm shift, initiated by DDDAS, from simulation to effectively using data for prediction.” (John Cherniavsky , (retired, as Division Director, NSF - US National Science Foundation))
“The DDDAS paradigm integrates and enhances the deepest, most well-grounded foundations and tools - both from expert based methods and from learning-based methods, building well beyond more popular and limited forms of AI. This book provides a unique breadth and depth of scope across many science and technology fields, showing how DDDAS is an overarching concept that connects and unifies the wide diversity across these fields.” (Paul Werbos, (retired, as Program Director, NSF - US National Science Foundation))
()