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Handbook of Dynamic Data Driven Applications Systems
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 in ten application areas to enable an accurate understanding, analysis, and control of complex systems; be they natural, engineered, or societal: 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 manag...
Handbook of Dynamic Data Driven Applications Systems
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 engineere...
Situational Awareness in Computer Network Defense: Principles, Methods and Applications
"This book provides academia and organizations insights into practical and applied solutions, frameworks, technologies, and implementations for situational awareness in computer networks"--Provided by publisher.
Dynamics of Information Systems
"Dynamics of Information Systems" presents state-of-the-art research explaining the importance of information in the evolution of a distributed or networked system. This book presents techniques for measuring the value or significance of information within the context of a system. Each chapter reveals a unique topic or perspective from experts in this exciting area of research. This volume is intended for graduate students and researchers interested in the most recent developments in information theory and dynamical systems, as well as scientists in other fields interested in the application of these principles to their own area of study.
Essential Principles of Signals Collection and Analysis
This book provides a clear and systematic introduction to the basic concepts, foundational mathematics principles, and application of signals collection and supporting technologies. It describes the essential principles of signals collection and analysis for both tactical and commercial applications, and applies the foundational principles and concepts pertaining to the collection and exploitation of uncooperative signals of interest. You will be equipped with the basic concepts and skills necessary to manage and develop signals collection systems, and benefit from the practical, hands-on information you can confidently implement and apply. You will also find abundant references included to guide you further in the areas of signals collection. The book uniquely presents the fundamental mathematics of the collection and processing of signals in a manner easily understood by newcomers to the field, while practitioners will find it to be a practical, go-to desktop reference for signal analysis. This is an ideal, one-of-a-kind text for graduate students, analysts, managers, and others who need a rapid introduction to the diverse and growing field of signals analytics.
Deep Learning for Radar and Communications Automatic Target Recognition
This authoritative resource presents a comprehensive illustration of modern Artificial Intelligence / Machine Learning (AI/ML) technology for radio frequency (RF) data exploitation. It identifies technical challenges, benefits, and directions of deep learning (DL) based object classification using radar data, including synthetic aperture radar (SAR) and high range resolution (HRR) radar. The performance of AI/ML algorithms is provided from an overview of machine learning (ML) theory that includes history, background primer, and examples. Radar data issues of collection, application, and examples for SAR/HRR data and communication signals analysis are discussed. In addition, this book presents practical considerations of deploying such techniques, including performance evaluation, energy-efficient computing, and the future unresolved issues.
An Introduction to Passive Radar, Second Edition
This bestselling book – now in its second edition – introduces the basic principles of passive radar technology and provides a comprehensive overview of the recent developments and advances in this field. It shows you how passive radar works, how it differs from the active type, and helps you understand the benefits and drawbacks of this novel technology. The book gives you the knowledge you need to get a full understanding of this fascinating technology. All chapters have been fully revised and updated and are written in a clear and accessible style. New chapters have been added to cover advances in the technology that have already been built and demonstrated, including systems on moving platforms (aircraft and UAVs), as well as advances in types of transmission – notably single-frequency broadcast transmissions, and 5G – and in processing techniques. This book remains an important resource for engineers working in academic, industry, or government research laboratories; academics teaching graduate level students; and those working in the specification and procurement of radar systems who need to understand the performance and limitations of the technology.
Visualization, Visual Analytics and Virtual Reality in Medicine
Visualization, Visual Analytics and Virtual Reality in Medicine: State-of-the-art Techniques and Applications describes important techniques and applications that show an understanding of actual user needs as well as technological possibilities. The book includes user research, for example, task and requirement analysis, visualization design and algorithmic ideas without going into the details of implementation. This reference will be suitable for researchers and students in visualization and visual analytics in medicine and healthcare, medical image analysis scientists and biomedical engineers in general. Visualization and visual analytics have become prevalent in public health and clinical medicine, medical flow visualization, multimodal medical visualization and virtual reality in medical education and rehabilitation. Relevant applications now include digital pathology, virtual anatomy and computer-assisted radiation treatment planning. - Combines visualization, virtual reality and analytics - Written by leading researchers in the field - Gives the latest state-of-the-art techniques and applications
New Advances in Image Fusion
Image Fusion is an important branch of information fusion, and it is also an important technology for image understanding and computer vision. The fusion process is to merging different images into one to get more accurate description for the scene. The original images for image fusion are always obtained by several different image sensors, or the same sensor in different operating modes. The fused image can provide more effective information for further image processing, such as image segmentation, object detection and recognition. Image fusion is a new study field which combined with many different disciplines, such as sensors, signal processing, image processing, computer and artificial intelligence. In the past two decades, a large number of research literatures appear. This book is edited based on these research results, and many research scholars give a great help to this book.
