Propagation Of Interval And Probabilistic Uncertainty In Cyberinfrastructure Related Data Processing And Data Fusion


Propagation Of Interval And Probabilistic Uncertainty In Cyberinfrastructure Related Data Processing And Data Fusion
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Propagation Of Interval And Probabilistic Uncertainty In Cyberinfrastructure Related Data Processing And Data Fusion


Propagation Of Interval And Probabilistic Uncertainty In Cyberinfrastructure Related Data Processing And Data Fusion
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Author : Christian Servin
language : en
Publisher:
Release Date : 2014-12-31

Propagation Of Interval And Probabilistic Uncertainty In Cyberinfrastructure Related Data Processing And Data Fusion written by Christian Servin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-31 with categories.




Propagation Of Interval And Probabilistic Uncertainty In Cyberinfrastructure Related Data Processing And Data Fusion


Propagation Of Interval And Probabilistic Uncertainty In Cyberinfrastructure Related Data Processing And Data Fusion
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Author : Christian Servin
language : en
Publisher: Springer
Release Date : 2014-11-20

Propagation Of Interval And Probabilistic Uncertainty In Cyberinfrastructure Related Data Processing And Data Fusion written by Christian Servin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-20 with Technology & Engineering categories.


On various examples ranging from geosciences to environmental sciences, this book explains how to generate an adequate description of uncertainty, how to justify semiheuristic algorithms for processing uncertainty, and how to make these algorithms more computationally efficient. It explains in what sense the existing approach to uncertainty as a combination of random and systematic components is only an approximation, presents a more adequate three-component model with an additional periodic error component, and explains how uncertainty propagation techniques can be extended to this model. The book provides a justification for a practically efficient heuristic technique (based on fuzzy decision-making). It explains how the computational complexity of uncertainty processing can be reduced. The book also shows how to take into account that in real life, the information about uncertainty is often only partially known, and, on several practical examples, explains how to extract the missing information about uncertainty from the available data.



Combining Interval Probabilistic And Other Types Of Uncertainty In Engineering Applications


Combining Interval Probabilistic And Other Types Of Uncertainty In Engineering Applications
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Author : Andrew Pownuk
language : en
Publisher: Springer
Release Date : 2018-05-03

Combining Interval Probabilistic And Other Types Of Uncertainty In Engineering Applications written by Andrew Pownuk and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-03 with Technology & Engineering categories.


How can we solve engineering problems while taking into account data characterized by different types of measurement and estimation uncertainty: interval, probabilistic, fuzzy, etc.? This book provides a theoretical basis for arriving at such solutions, as well as case studies demonstrating how these theoretical ideas can be translated into practical applications in the geosciences, pavement engineering, etc. In all these developments, the authors’ objectives were to provide accurate estimates of the resulting uncertainty; to offer solutions that require reasonably short computation times; to offer content that is accessible for engineers; and to be sufficiently general - so that readers can use the book for many different problems. The authors also describe how to make decisions under different types of uncertainty. The book offers a valuable resource for all practical engineers interested in better ways of gauging uncertainty, for students eager to learn and apply the new techniques, and for researchers interested in processing heterogeneous uncertainty.



Towards Analytical Techniques For Optimizing Knowledge Acquisition Processing Propagation And Use In Cyberinfrastructure And Big Data


Towards Analytical Techniques For Optimizing Knowledge Acquisition Processing Propagation And Use In Cyberinfrastructure And Big Data
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Author : L. Octavio Lerma
language : en
Publisher: Springer
Release Date : 2017-08-19

Towards Analytical Techniques For Optimizing Knowledge Acquisition Processing Propagation And Use In Cyberinfrastructure And Big Data written by L. Octavio Lerma and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-19 with Technology & Engineering categories.


This book describes analytical techniques for optimizing knowledge acquisition, processing, and propagation, especially in the contexts of cyber-infrastructure and big data. Further, it presents easy-to-use analytical models of knowledge-related processes and their applications. The need for such methods stems from the fact that, when we have to decide where to place sensors, or which algorithm to use for processing the data—we mostly rely on experts’ opinions. As a result, the selected knowledge-related methods are often far from ideal. To make better selections, it is necessary to first create easy-to-use models of knowledge-related processes. This is especially important for big data, where traditional numerical methods are unsuitable. The book offers a valuable guide for everyone interested in big data applications: students looking for an overview of related analytical techniques, practitioners interested in applying optimization techniques, and researchers seeking to improve and expand on these techniques.



Parallel Processing And Applied Mathematics Part Ii


Parallel Processing And Applied Mathematics Part Ii
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Author : Roman Wyrzykowski
language : en
Publisher: Springer
Release Date : 2010-07-07

Parallel Processing And Applied Mathematics Part Ii written by Roman Wyrzykowski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-07 with Computers categories.


Annotation This book constitutes the proceedings of the 8th International Conference on Parallel Processing and Applied Mathematics, PPAM 2009, held in Wroclaw, Poland, in September 2009.



From Maps To Models


From Maps To Models
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Author : National Academies of Sciences, Engineering, and Medicine
language : en
Publisher: National Academies Press
Release Date : 2016-10-31

From Maps To Models written by National Academies of Sciences, Engineering, and Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-31 with Science categories.


The United States faces numerous, varied, and evolving threats to national security, including terrorism, scarcity and disruption of food and water supplies, extreme weather events, and regional conflicts around the world. Effectively managing these threats requires intelligence that not only assesses what is happening now, but that also anticipates potential future threats. The National Geospatial-Intelligence Agency (NGA) is responsible for providing geospatial intelligence on other countriesâ€"assessing where exactly something is, what it is, and why it is importantâ€"in support of national security, disaster response, and humanitarian assistance. NGA's approach today relies heavily on imagery analysis and mapping, which provide an assessment of current and past conditions. However, augmenting that approach with a strong modeling capability would enable NGA to also anticipate and explore future outcomes. A model is a simplified representation of a real-world system that is used to extract explainable insights about the system, predict future outcomes, or explore what might happen under plausible what-if scenarios. Such models use data and/or theory to specify inputs (e.g., initial conditions, boundary conditions, and model parameters) to produce an output. From Maps to Models: Augmenting the Nation's Geospatial Intelligence Capabilities describes the types of models and analytical methods used to understand real-world systems, discusses what would be required to make these models and methods useful for geospatial intelligence, and identifies supporting research and development for NGA. This report provides examples of models that have been used to help answer the sorts of questions NGA might ask, describes how to go about a model-based investigation, and discusses models and methods that are relevant to NGA's mission.



Structural Identification Of Constructed Systems


Structural Identification Of Constructed Systems
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Author :
language : en
Publisher: ASCE Press
Release Date : 2013-05

Structural Identification Of Constructed Systems written by and has been published by ASCE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05 with Architecture categories.


This report presents research in structural engineering that bridges the gap between models and real structures by developing more reliable estimates of the performance and vulnerability of existing structural systems.



Fundamentals Of Spatial Data Quality


Fundamentals Of Spatial Data Quality
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Author : Rodolphe Devillers
language : en
Publisher: John Wiley & Sons
Release Date : 2010-01-05

Fundamentals Of Spatial Data Quality written by Rodolphe Devillers and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-05 with Mathematics categories.


This book explains the concept of spatial data quality, a key theory for minimizing the risks of data misuse in a specific decision-making context. Drawing together chapters written by authors who are specialists in their particular field, it provides both the data producer and the data user perspectives on how to evaluate the quality of vector or raster data which are both produced and used. It also covers the key concepts in this field, such as: how to describe the quality of vector or raster data; how to enhance this quality; how to evaluate and document it, using methods such as metadata; how to communicate it to users; and how to relate it with the decision-making process. Also included is a Foreword written by Professor Michael F. Goodchild.



Multisensor Data Fusion


Multisensor Data Fusion
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Author : David Hall
language : en
Publisher: CRC Press
Release Date : 2001-06-20

Multisensor Data Fusion written by David Hall and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-06-20 with Technology & Engineering categories.


The emerging technology of multisensor data fusion has a wide range of applications, both in Department of Defense (DoD) areas and in the civilian arena. The techniques of multisensor data fusion draw from an equally broad range of disciplines, including artificial intelligence, pattern recognition, and statistical estimation. With the rapid evolut



Advanced Technologies Systems And Applications Iii


Advanced Technologies Systems And Applications Iii
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Author : Samir Avdaković
language : en
Publisher: Springer
Release Date : 2018-11-04

Advanced Technologies Systems And Applications Iii written by Samir Avdaković and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-04 with Computers categories.


This book introduces innovative and interdisciplinary applications of advanced technologies. Featuring the papers from the 10th DAYS OF BHAAAS (Bosnian-Herzegovinian American Academy of Arts and Sciences) held in Jahorina, Bosnia and Herzegovina on June 21–24, 2018, it discusses a wide variety of engineering and scientific applications of the different techniques. Researchers from academic and industry present their work and ideas, techniques and applications in the field of power systems, mechanical engineering, computer modelling and simulations, civil engineering, robotics and biomedical engineering, information and communication technologies, computer science and applied mathematics.