Author: Publisher:
ISBN:
Category : Science
Languages : en
Pages : 292
Book Description
U.S. Government Research Reports
Author: Scientific and Technical Aerospace Reports
Author: A New Dimension, Wallops Island Flight Test Range
Author: Joseph Adams ShortalPublisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 808
Book Description
Bibliography of Scientific and Industrial Reports
Author: NASA SP.
Author: Cumulative Index to Contemporary Acoustical Literature Listed in the Journal of the Acoustical Society of America, Volumes 36-44, 1964-1968
Author: Acoustical Society of AmericaPublisher:
ISBN:
Category : Sound
Languages : en
Pages : 1116
Book Description
Analysis and Design of Flight Vehicle Structures
Author: Elmer Franklin BruhnPublisher:
ISBN:
Category : Aeroelasticity
Languages : en
Pages : 1008
Book Description
Aeronautical Engineering
Author: Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 568
Book Description
A selection of annotated references to unclassified reports and journal articles that were introduced into the NASA scientific and technical information system and announced in Scientific and technical aerospace reports (STAR) and International aerospace abstracts (IAA).
International Aerospace Abstracts
Author: Handbook of Dynamic Data Driven Applications Systems
Author: Frederica DaremaPublisher: Springer Nature
ISBN: 3031279867
Category : Computers
Languages : en
Pages : 937
Book Description
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 The 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).