Handbook of Dynamic Data Driven Applications Systems
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Beschreibung
The Handbook of Dynamic Driven Applications Systems establishes an authoritative reference of DDDAS, pioneered by Dr. Darema and the co-authors for researchers and practitioners developing DDDAS technologies.
Beginning with general concepts and history of the paradigm, the text provides 32 chapters by leading experts in10 application areas to enable an accurate understanding, analysis, and control of complex systems; be they natural, engineered, or societal:
- Earth and Space Data Assimilation
- Aircraft Systems Processing
- Structures Health Monitoring
- Biological Data Assessment
- Object and Activity Tracking
- Embedded Control and Coordination
- Energy-Aware Optimization
- Image and Video Computing
- Security and Policy Coding
- Systems Design
The authors explain how DDDAS unifies the computational and instrumentation aspects of an application system, extends the notion of Smart Computing to span from the high-end to the real-time data acquisition and control, and manages Big Data exploitation with high-dimensional model coordination.
The Handbook of Dynamic Data Driven Applications Systems establishes an authoritative reference of DDDAS, pioneered by Dr. Darema and the co-authors for researchers and practitioners developing DDDAS technologies.
Beginning with general concepts and history of the paradigm, the text provides 32 chapters by leading experts in10 application areas to enable an accurate understanding, analysis, and control of complex systems; be they natural, engineered, or societal:
- Earth and Space Data Assimilation
- Aircraft Systems Processing
- Structures Health Monitoring
- Biological Data Assessment
- Object and Activity Tracking
- Embedded Control and Coordination
- Energy-Aware Optimization
- Image and Video Computing
- Security and Policy Coding
- Systems Design
The authors explain how DDDAS unifies the computational and instrumentation aspects of an application system, extends the notion of Smart Computing to span from the high-end to the real-time data acquisition and control, and manages Big Data exploitation with high-dimensional model coordination.
Peer-reviewed contributions that focus on the use of DDDAS for various applications:
Benefit: Future readers can quickly see the areas of contribution in a single (hardback volume) which can be available in libraries
Submissions from leading
experts in various domains
Benefit: These leaders would be identified with the text to draw in readership from the individual applications to the more general paradigm
Identification of contemporary concepts using DDDAS such as UAVs, surveillance, and computing
Benefit: With the introduction and organization of the DDDAS volume, it would be the first to organize the material as to the general concepts with pictures and applications. For example, the intro chapter would outline DDDAS, the history, and applications pointed to the future chapters in the text
Autor*in
Erik Blasch
Themen in »Handbook of Dynamic Data Driven Applications Systems«
DDDAS Controls Instrumentation Big Data High performance computing Cyber physical systems UAVs data fusion feature fusion decision fusion information fusion Environmental Modeling Environmental Analysis Architectures Statistical modeling