Handbook of Dynamic Data Driven Applications Systems

Name: Handbook of Dynamic Data Driven Applications Systems
Author: Darema, Frederica (EDT); Blasch, Erik P. (EDT); Ravela, Sai (EDT); Aved, Alex J. (EDT)
ISBN: 9783031279850

Darema, Frederica (EDT); Blasch, Erik P. (EDT); Ravela, Sai (EDT); Aved, Alex J. (EDT)

Language: English

Published by Springer, 2023

3031279859 / 9783031279850

Hardcover
Used

See all details

Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK

5-star seller

AbeBooks seller since January 28, 2020

View this seller's items

Hardcover

Condition: Used - As new

US$ 246.63

US$ 20.29 shipping

Ships from United Kingdom to U.S.A.

Quantity: Over 20 available

Add to basket

Free 30-day returns

Save for laterCreate a Want for similar items

Item description from seller

Unread book in perfect condition.

Seller Inventory # 46234850

Contact seller about this item

Report this item

Title: Handbook of Dynamic Data Driven Applications Systems
Author: Darema, Frederica (EDT); Blasch, Erik P. (EDT); Ravela, Sai (EDT); Aved, Alex J. (EDT)
Publisher: Springer
Publication year: 2023
Condition: As New
Binding: Hardcover
Language: English
ISBN 10: 3031279859
ISBN 13: 9783031279850

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).

"Synopsis" may belong to another edition of this title.

About the Author

Frederica Darema, PhD, is President and CEO of the InfoSymbiotic Systems Society. She has retired as Senior Executive Service (SES) member and Director of the Air Force Office of Scientific Research, Arlington, Virginia, where she led the entire basic research investment for the AF, and she concurrently served as Research Director in the Air Force’s Chief Data Office, and as Associate Deputy Assistant Secretary at the Air Force Office for Science, Technology and Engineering. Prior career history includes research staff positions at the University of Pittsburgh, Brookhaven National Laboratory, and Schlumberger-Doll; management and executive-level positions at the T. J. Watson IBM Research Center and the IBM Corporate Strategy Group, the National Science Foundation, and the Defense Advanced Research Projects Agency; and director of the AFOSR Directorate for Information, Math, and Life Sciences. Dr. Darema, PhD in nuclear physics, is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), among other professional recognitions. In 1983, she pioneered the SPMD computational model which is the predominant model for parallel (super)computing; and in 1980, she pioneered the DDDAS paradigm, and since 2000 she has organized and led research initiatives, programs, workshops, conferences (including the biannual DDDAS/InfoSymbiotic Systems Conference series, co-led with co-editors: Blasch, Ravela, and Aved; 2016-present), and other forums to foster and promote DDDAS-based science and technology advances.

Erik P. Blasch, PhD, is a Program Officer with the Air Force Office of Scientific Research. His focus areas are in multi-domain (space, air, ground) data fusion, target tracking, pattern recognition, and robotics. He has authored 750+ scientific papers, 22 patents, 30 tutorials, and 5 books. Recognitions include the Military Sensing Society Mignogna leadership in data fusion award, IEEE Aerospace and Electronics Systems Society Mimno best magazine paper award, IEEE Russ bioengineering award, and founding member of the International Society of Information Fusion (ISIF). Previous appointments include adjunct associate professor at Wright State University, exchange scientist at Defense Research and Development Canada, and officer in the Air Force Research Laboratory. Dr. Blasch is an associate fellow of AIAA, fellow of SPIE, and fellow of IEEE.

Sai Ravela, PhD, directs the Earth Signals and Systems Group (ESSG) in the Earth Atmospheric and Planetary Sciences (EAPS) Department at the Massachusetts

Institute of Technology. In addition, he is presently an Engineering Fellow at Cytonome conducting Cell Imaging & Biofluidic Control R&D, he is a co-Founder of WindrisktechLLC, quantifying Hurricane-induced Risk in a changing climate. Dr. Ravela’s primary interests are in statistical pattern recognition, stochastic nonlinear systems science, and computational intelligence, withapplication to earth, planets, climate, and life. Dr. Ravela introduced new methods for coherent fluid dynamical regimes, applying them to DDDAS-based observing systems of localized atmospheric phenomena, laboratory studies, and wildlife. He has advanced learning-based approaches to DDDAS, and introduced the ensemble-based informative approach for DDDASbased learning and hybrid stochastic systems. Dr. Ravela is the recipient of the MIT 2016 Infinite Kilometer award for exceptional research and mentorship. Dr. Ravela organized the Dynamic Data Driven Environmental Systems Science Conference (DyDESS 2014, Cambridge), and has co-organized all DDDAS conferences (2016-2022).

Alex J. Aved, PhD, is a Senior Researcher with the Air Force Research Laboratory, Information Directorate, Rome, NY, USA. His research interests include multimedia databases, stream processing (via CPU, GPU, or coprocessor), and dynamically executing models with feedback loops incorporating measurement and error data to improve the accuracy of the model. He has published over 50 papers and given numerous invited lectures. Previously, he was a programmer at the University of Central Florida and database administrator and programmer at Anderson University.

"About the title" may belong to another edition of this title.

GreatBookPricesUK

Woodford Green, United Kingdom

5-star seller

AbeBooks seller since January 28, 2020

Shipping rates from United Kingdom to U.S.A.

Item	10 to 27 business days	10 to 30 business days
First item	US$ 20.29	US$ 20.29

Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.

Payment methods

Store description

GreatBookPrices.com is your top source for finding new books at the absolute lowest prices, guaranteed ! We offer big discounts - everyday - on millions of titles in virtually any category, from Architecture to Zoology -- and everything in between. Discover great deals and super-savings, on professional books, text book titles, the newest computer guides, or your favorite fiction authors. You'll find it all - at HUGE SAVINGS - at GreatBookPrices. Browse through our complete online product catalog today. Serving customers around the world for years, we help thousands find just the books they're looking for -- at incredibly low, bargain prices.…

Specialty

TradeBooks

Seller's business information

Far Corner Europe Limited

19-20 Bourne Court, 19-20 Bourne Court
Woodford Green, United Kingdom IG8 8HD

Contact sellerView this seller's itemsView seller's storefront

Handbook of Dynamic Data Driven Applications Systems

Item description from seller

Bibliographic details

Synopsis

About the title