Data Fusion Methodology and Applications

Data Fusion Methodology and Applications
Author: Marina Cocchi
Publsiher: Elsevier
Total Pages: 396
Release: 2019-05-11
ISBN 10: 0444639853
ISBN 13: 9780444639851
Language: EN, FR, DE, ES & NL

Data Fusion Methodology and Applications Book Review:

Data Fusion Methodology and Applications explores the data-driven discovery paradigm in science and the need to handle large amounts of diverse data. Drivers of this change include the increased availability and accessibility of hyphenated analytical platforms, imaging techniques, the explosion of omics data, and the development of information technology. As data-driven research deals with an inductive attitude that aims to extract information and build models capable of inferring the underlying phenomena from the data itself, this book explores the challenges and methodologies used to integrate data from multiple sources, analytical platforms, different modalities, and varying timescales. Presents the first comprehensive textbook on data fusion, focusing on all aspects of data-driven discovery Includes comprehensible, theoretical chapters written for large and diverse audiences Provides a wealth of selected application to the topics included

Data Fusion for Situation Monitoring Incident Detection Alert and Response Management

Data Fusion for Situation Monitoring  Incident Detection  Alert and Response Management
Author: E. Shahbazian,G. Rogova,P. Valin
Publsiher: IOS Press
Total Pages: 832
Release: 2006-03-02
ISBN 10: 1607501244
ISBN 13: 9781607501244
Language: EN, FR, DE, ES & NL

Data Fusion for Situation Monitoring Incident Detection Alert and Response Management Book Review:

Data Fusion is a very broad interdisciplinary technology domain. It provides techniques and methods for; integrating information from multiple sources and using the complementarities of these detections to derive maximum information about the phenomenon being observed; analyzing and deriving the meaning of these observations and predicting possible consequences of the observed state of the environment; selecting the best course of action; and controlling the actions. Here, the focus is on the more mature phase of data fusion, namely the detection and identification / classification of phenomena being observed and exploitation of the related methods for Security-Related Civil Science and Technology (SST) applications. It is necessary to; expand on the data fusion methodology pertinent to Situation Monitoring, Incident Detection, Alert and Response Management; discuss some related Cognitive Engineering and visualization issues; provide an insight into the architectures and methodologies for building a data fusion system; discuss fusion approaches to image exploitation with emphasis on security applications; discuss novel distributed tracking approaches as a necessary step of situation monitoring and incident detection; and provide examples of real situations, in which data fusion can enhance incident detection, prevention and response capability. In order to give a logical presentation of the data fusion material, first the general concepts are highlighted (Fusion Methodology, Human Computer Interactions and Systems and Architectures), closing with several applications (Data Fusion for Imagery, Tracking and Sensor Fusion and Applications and Opportunities for Fusion).

Multisensor Data Fusion

Multisensor Data Fusion
Author: Hassen Fourati
Publsiher: CRC Press
Total Pages: 639
Release: 2017-12-19
ISBN 10: 1351830880
ISBN 13: 9781351830881
Language: EN, FR, DE, ES & NL

Multisensor Data Fusion Book Review:

Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice of multisensor data fusion, from fundamental concepts to cutting-edge techniques drawn from a broad array of disciplines. Featuring contributions from the world’s leading data fusion researchers and academicians, this authoritative book: Presents state-of-the-art advances in the design of multisensor data fusion algorithms, addressing issues related to the nature, location, and computational ability of the sensors Describes new materials and achievements in optimal fusion and multisensor filters Discusses the advantages and challenges associated with multisensor data fusion, from extended spatial and temporal coverage to imperfection and diversity in sensor technologies Explores the topology, communication structure, computational resources, fusion level, goals, and optimization of multisensor data fusion system architectures Showcases applications of multisensor data fusion in fields such as medicine, transportation's traffic, defense, and navigation Multisensor Data Fusion: From Algorithms and Architectural Design to Applications is a robust collection of modern multisensor data fusion methodologies. The book instills a deeper understanding of the basics of multisensor data fusion as well as a practical knowledge of the problems that can be faced during its execution.

Data Fusion

Data Fusion
Author: Veres Albert,Erôss Aba
Publsiher: Unknown
Total Pages: 108
Release: 2017
ISBN 10: 9781536127201
ISBN 13: 1536127205
Language: EN, FR, DE, ES & NL

Data Fusion Book Review:

In the first chapter, Sergey A Sakulin, Ph.D. and Alexander N Alfimtsev, Ph.D. discuss fuzzy integral, a powerful metaoperator, and its applications. In the second chapter, Bruno G Botelho and Adriana S Franca discuss the concept of data fusion and how it might be applied in different areas of food analysis to improve the information range regarding samples. In the third and final chapter, Carlo Quaranta and Giorgio Balzarotti compare a new data fusion equation with an approach that has been familiarised in previous literature.

Multisensor Data Fusion

Multisensor Data Fusion
Author: Hassen Fourati
Publsiher: CRC Press
Total Pages: 639
Release: 2017-12-19
ISBN 10: 1482263750
ISBN 13: 9781482263756
Language: EN, FR, DE, ES & NL

Multisensor Data Fusion Book Review:

Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice of multisensor data fusion, from fundamental concepts to cutting-edge techniques drawn from a broad array of disciplines. Featuring contributions from the world’s leading data fusion researchers and academicians, this authoritative book: Presents state-of-the-art advances in the design of multisensor data fusion algorithms, addressing issues related to the nature, location, and computational ability of the sensors Describes new materials and achievements in optimal fusion and multisensor filters Discusses the advantages and challenges associated with multisensor data fusion, from extended spatial and temporal coverage to imperfection and diversity in sensor technologies Explores the topology, communication structure, computational resources, fusion level, goals, and optimization of multisensor data fusion system architectures Showcases applications of multisensor data fusion in fields such as medicine, transportation's traffic, defense, and navigation Multisensor Data Fusion: From Algorithms and Architectural Design to Applications is a robust collection of modern multisensor data fusion methodologies. The book instills a deeper understanding of the basics of multisensor data fusion as well as a practical knowledge of the problems that can be faced during its execution.

Multi Sensor Data Fusion

Multi Sensor Data Fusion
Author: H.B. Mitchell
Publsiher: Springer Science & Business Media
Total Pages: 282
Release: 2007-07-13
ISBN 10: 3540715592
ISBN 13: 9783540715597
Language: EN, FR, DE, ES & NL

Multi Sensor Data Fusion Book Review:

This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. It is aimed at advanced undergraduate and first-year graduate students in electrical engineering and computer science, as well as researchers and professional engineers. The book is intended to be self-contained. No previous knowledge of multi-sensor data fusion is assumed, although some familiarity with the basic tools of linear algebra, calculus and simple probability theory is recommended.

Comprehensive Chemometrics

Comprehensive Chemometrics
Author: Steven Brown,Roma Tauler,Beata Walczak
Publsiher: Elsevier
Total Pages: 2944
Release: 2020-05-26
ISBN 10: 0444641661
ISBN 13: 9780444641663
Language: EN, FR, DE, ES & NL

Comprehensive Chemometrics Book Review:

Comprehensive Chemometrics, Second Edition features expanded and updated coverage, along with new content that covers advances in the field since the previous edition published in 2009. Subject of note include updates in the fields of multidimensional and megavariate data analysis, omics data analysis, big chemical and biochemical data analysis, data fusion and sparse methods. The book follows a similar structure to the previous edition, using the same section titles to frame articles. Many chapters from the previous edition are updated, but there are also many new chapters on the latest developments. Presents integrated reviews of each chemical and biological method, examining their merits and limitations through practical examples and extensive visuals Bridges a gap in knowledge, covering developments in the field since the first edition published in 2009 Meticulously organized, with articles split into 4 sections and 12 sub-sections on key topics to allow students, researchers and professionals to find relevant information quickly and easily Written by academics and practitioners from various fields and regions to ensure that the knowledge within is easily understood and applicable to a large audience Presents integrated reviews of each chemical and biological method, examining their merits and limitations through practical examples and extensive visuals Bridges a gap in knowledge, covering developments in the field since the first edition published in 2009 Meticulously organized, with articles split into 4 sections and 12 sub-sections on key topics to allow students, researchers and professionals to find relevant information quickly and easily Written by academics and practitioners from various fields and regions to ensure that the knowledge within is easily understood and applicable to a large audience

Data Fusion Concepts and Ideas

Data Fusion  Concepts and Ideas
Author: H B Mitchell
Publsiher: Springer Science & Business Media
Total Pages: 346
Release: 2012-02-09
ISBN 10: 3642272223
ISBN 13: 9783642272226
Language: EN, FR, DE, ES & NL

Data Fusion Concepts and Ideas Book Review:

This textbook provides a comprehensive introduction to the concepts and idea of multisensor data fusion. It is an extensively revised second edition of the author's successful book: "Multi-Sensor Data Fusion: An Introduction" which was originally published by Springer-Verlag in 2007. The main changes in the new book are: New Material: Apart from one new chapter there are approximately 30 new sections, 50 new examples and 100 new references. At the same time, material which is out-of-date has been eliminated and the remaining text has been rewritten for added clarity. Altogether, the new book is nearly 70 pages longer than the original book. Matlab code: Where appropriate we have given details of Matlab code which may be downloaded from the worldwide web. In a few places, where such code is not readily available, we have included Matlab code in the body of the text. Layout. The layout and typography has been revised. Examples and Matlab code now appear on a gray background for easy identification and advancd material is marked with an asterisk. The book is intended to be self-contained. No previous knowledge of multi-sensor data fusion is assumed, although some familarity with the basic tools of linear algebra, calculus and simple probability is recommended. Although conceptually simple, the study of mult-sensor data fusion presents challenges that are unique within the education of the electrical engineer or computer scientist. To become competent in the field the student must become familiar with tools taken from a wide range of diverse subjects including: neural networks, signal processing, statistical estimation, tracking algorithms, computer vision and control theory. All too often, the student views multi-sensor data fusion as a miscellaneous assortment of different processes which bear no relationship to each other. In contrast, in this book the processes are unified by using a common statistical framework. As a consequence, the underlying pattern of relationships that exists between the different methodologies is made evident. The book is illustrated with many real-life examples taken from a diverse range of applications and contains an extensive list of modern references.

Applications of NDT Data Fusion

Applications of NDT Data Fusion
Author: Xavier E. Gros
Publsiher: Springer Science & Business Media
Total Pages: 277
Release: 2013-11-27
ISBN 10: 1461514118
ISBN 13: 9781461514114
Language: EN, FR, DE, ES & NL

Applications of NDT Data Fusion Book Review:

Non-destructive testing (NDT) systems can generate incomplete, incorrect or conflicting information about a flaw or a defect. Therefore, the use of more than one NDT system is usually required for accurate defect detection and/or quantification. In addition to a reduction in inspection time, important cost savings could be achieved if a data fusion process is developed to combine signals from multisensor systems for manual and remotely operated inspections. This gathering of data from multiple sources and an efficient processing of information help in decision making, reduce signal uncertainty and increase the overall performance of a non-destructive examination. This book gathers, for the first time, essays from leading NDT experts involved in data fusion. It explores the concept of data fusion by providing a comprehensive review and analysis of the applications of NDT data fusion. This publication concentrates on NDT data fusion for industrial applications and highlights progress and applications in the field of data fusion in areas ranging from materials testing in the aerospace industry to medical applications. Each chapter contains a specific case study with a theoretical part but also presents experimental results from a practical point of view. The book should be considered more as a pragmatic introduction to the applications of NDT data fusion rather than a rigorous basis for theoretical studies.

NDT Data Fusion

NDT Data Fusion
Author: Xavier Gros
Publsiher: Elsevier
Total Pages: 205
Release: 1996-11-01
ISBN 10: 0080524044
ISBN 13: 9780080524047
Language: EN, FR, DE, ES & NL

NDT Data Fusion Book Review:

Data fusion is a rapidly developing technology which involves the combination of information supplied by several NDT (Non-Destructive Testing) sensors to provide a more complete and understandable picture of structural integrity. This text is the first to be devoted exclusively to the concept of multisensor integration and data fusion applied to NDT. The advantages of this methodology are widely acknowledged and the author presents an excellent introduction to data fusion processes. Problems are approached progressively through detailed case studies, offering practical guidance for those wishing to develop and explore NDT data fusion further. This book will prove invaluable to inspectors, students and researchers concerned with NDT signal processing measurements and testing. It shows the great value and major benefits which can be achieved by implementing multisensor data fusion, not only in NDT but also in any discipline where measurements and testing are key activities.

Data Fusion and Data Mining for Power System Monitoring

Data Fusion and Data Mining for Power System Monitoring
Author: Arturo Román Messina
Publsiher: CRC Press
Total Pages: 250
Release: 2020-05-05
ISBN 10: 1000065898
ISBN 13: 9781000065893
Language: EN, FR, DE, ES & NL

Data Fusion and Data Mining for Power System Monitoring Book Review:

Data Fusion and Data Mining for Power System Monitoring provides a comprehensive treatment of advanced data fusion and data mining techniques for power system monitoring with focus on use of synchronized phasor networks. Relevant statistical data mining techniques are given, and efficient methods to cluster and visualize data collected from multiple sensors are discussed. Both linear and nonlinear data-driven mining and fusion techniques are reviewed, with emphasis on the analysis and visualization of massive distributed data sets. Challenges involved in realistic monitoring, visualization, and analysis of observation data from actual events are also emphasized, supported by examples of relevant applications. Features Focuses on systematic illustration of data mining and fusion in power systems Covers issues of standards used in the power industry for data mining and data analytics Applications to a wide range of power networks are provided including distribution and transmission networks Provides holistic approach to the problem of data mining and data fusion using cutting-edge methodologies and technologies Includes applications to massive spatiotemporal data from simulations and actual events

Recent Advances in Intelligent Systems and Smart Applications

Recent Advances in Intelligent Systems and Smart Applications
Author: Mostafa Al-Emran,Khaled Shaalan,Aboul Ella Hassanien
Publsiher: Springer Nature
Total Pages: 670
Release: 2020-06-26
ISBN 10: 3030474119
ISBN 13: 9783030474119
Language: EN, FR, DE, ES & NL

Recent Advances in Intelligent Systems and Smart Applications Book Review:

This book explores the latest research trends in intelligent systems and smart applications. It presents high-quality empirical and review studies focusing on various topics, including information systems and software engineering, knowledge management, technology in education, emerging technologies, and social networks. It provides insights into the theoretical and practical aspects of intelligent systems and smart applications.

New Methodologies for Automated Data Fusion Processing

New Methodologies for Automated Data Fusion Processing
Author: Robin A. Dillard,NAVAL OCEAN SYSTEMS CENTER SAN DIEGO CA.
Publsiher: Unknown
Total Pages: 40
Release: 1978
ISBN 10: 1928374650XXX
ISBN 13: OCLC:227400280
Language: EN, FR, DE, ES & NL

New Methodologies for Automated Data Fusion Processing Book Review:

This report initiates investigations into some of the newer technologies to determine if they have useful applications to the problem of automating the fusion of multisource data. The main technology areas discussed are natural language processing (NLP), production rules, and pattern recognition. The theory of possibilities is also considered. An integrated data fusion system is postulated which would employ a number of different, interacting techniques. Early stages of system processing would require NLP techniques to restructure narrative data into a form useful for automated fusion with other kinds of data. The use of 'frames' as knowledge representation structures is considered for this part of the processing. Techniques involved in later processing could include production rules and pattern recognition. Possible applications of these two techniques to data fusion problems are discussed. (Author).

Tensors for Data Processing

Tensors for Data Processing
Author: Yipeng Liu
Publsiher: Academic Press
Total Pages: 596
Release: 2021-11-01
ISBN 10: 0323859658
ISBN 13: 9780323859653
Language: EN, FR, DE, ES & NL

Tensors for Data Processing Book Review:

Tensors for Data Processing: Theory, Methods and Applications presents both classical and state-of-the-art methods on tensor computation for data processing, covering computation theories, processing methods, computing and engineering applications, with an emphasis on techniques for data processing. This reference is ideal for students, researchers and industry developers who want to understand and use tensor-based data processing theories and methods. As a higher-order generalization of a matrix, tensor-based processing can avoid multi-linear data structure loss that occurs in classical matrix-based data processing methods. This move from matrix to tensors is beneficial for many diverse application areas, including signal processing, computer science, acoustics, neuroscience, communication, medical engineering, seismology, psychometric, chemometrics, biometric, quantum physics and quantum chemistry. Provides a complete reference on classical and state-of-the-art tensor-based methods for data processing Includes a wide range of applications from different disciplines Gives guidance for their application

Hyperspectral Imaging

Hyperspectral Imaging
Author: Anonim
Publsiher: Elsevier
Total Pages: 800
Release: 2019-09-29
ISBN 10: 0444639780
ISBN 13: 9780444639783
Language: EN, FR, DE, ES & NL

Hyperspectral Imaging Book Review:

Hyperspectral Imaging, Volume 32, presents a comprehensive exploration of the different analytical methodologies applied on hyperspectral imaging and a state-of-the-art analysis of applications in different scientific and industrial areas. This book presents, for the first time, a comprehensive collection of the main multivariate algorithms used for hyperspectral image analysis in different fields of application. The benefits, drawbacks and suitability of each are fully discussed, along with examples of their application. Users will find state-of-the art information on the machinery for hyperspectral image acquisition, along with a critical assessment of the usage of hyperspectral imaging in diverse scientific fields. Provides a comprehensive roadmap of hyperspectral image analysis, with benefits and considerations for each method discussed Covers state-of-the-art applications in different scientific fields Discusses the implementation of hyperspectral devices in different environments

Intelligent Data Mining and Fusion Systems in Agriculture

Intelligent Data Mining and Fusion Systems in Agriculture
Author: Xanthoula-Eirini Pantazi,Dimitrios Moshou,Dionysis Bochtis
Publsiher: Academic Press
Total Pages: 330
Release: 2019-10-08
ISBN 10: 0128143924
ISBN 13: 9780128143926
Language: EN, FR, DE, ES & NL

Intelligent Data Mining and Fusion Systems in Agriculture Book Review:

Intelligent Data Mining and Fusion Systems in Agriculture presents methods of computational intelligence and data fusion that have applications in agriculture for the non-destructive testing of agricultural products and crop condition monitoring. Sections cover the combination of sensors with artificial intelligence architectures in precision agriculture, including algorithms, bio-inspired hierarchical neural maps, and novelty detection algorithms capable of detecting sudden changes in different conditions. This book offers advanced students and entry-level professionals in agricultural science and engineering, geography and geoinformation science an in-depth overview of the connection between decision-making in agricultural operations and the decision support features offered by advanced computational intelligence algorithms. Covers crop protection, automation in agriculture, artificial intelligence in agriculture, sensing and Internet of Things (IoTs) in agriculture Addresses AI use in weed management, disease detection, yield prediction and crop production Utilizes case studies to provide real-world insights and direction

Multisensor Data Fusion

Multisensor Data Fusion
Author: David Hall,James Llinas
Publsiher: CRC Press
Total Pages: 568
Release: 2001-06-20
ISBN 10: 1420038540
ISBN 13: 9781420038545
Language: EN, FR, DE, ES & NL

Multisensor Data Fusion Book Review:

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

Harbour Protection Through Data Fusion Technologies

Harbour Protection Through Data Fusion Technologies
Author: Elisa Shahbazian,Galina Rogova,Michael J. de Weert
Publsiher: Springer Science & Business Media
Total Pages: 360
Release: 2008-12-03
ISBN 10: 1402088833
ISBN 13: 9781402088834
Language: EN, FR, DE, ES & NL

Harbour Protection Through Data Fusion Technologies Book Review:

An Advanced Research Workshop (ARW) “Data Fusion Technologies for Harbour Protection” was held in Tallinn, Estonia 27 June–1 July, 2005. This workshop was organized by request of the NATO Security Through Science Programme and the Defence Investment Division. An ARW is one of many types of funded group support mechanisms established by the NATO Science Committee to contribute to the critical assessment of existing knowledge on new important topics, to identify directions for future research, and to promote close working relationships between scientists from different countries and with different professional experiences. The NATO Science Committee was approved at a meeting of the Heads of Government of the Alliance in December 1957, subsequent to the 1956 recommendation of “Three Wise Men” – Foreign Ministers Lange (Norway), Martino (Italy) and Pearson (Canada) on Non-Military Cooperation in NATO. The NATO Science Committee established the NATO Science Programme in 1958 to encourage and support scientific collaboration between individual scientists and to foster scientific development in its member states. In 1999, following the end of the Cold War, the Science Programme was transformed so that support is now devoted to collaboration between Partner-country and NATO-country scientists or to contributing towards research support in Partner countries. Since 2004, the Science Programme was further modified to focus exclusively on NATO Priority Research Topics (i. e. Defence Against Terrorism or Countering Other Threats to Security) and also preferably on a Partner country priority area.

Autonomous Robotic Systems

Autonomous Robotic Systems
Author: Changjiu Zhou,Darío Maravall,Da Ruan
Publsiher: Physica
Total Pages: 500
Release: 2013-03-20
ISBN 10: 3790817678
ISBN 13: 9783790817676
Language: EN, FR, DE, ES & NL

Autonomous Robotic Systems Book Review:

This book contains an edited collection of eighteen contributions on soft and hard computing techniques and their applications to autonomous robotic systems. Each contribution has been exclusively written for this volume by a leading researcher. The volume demonstrates the various ways that the soft computing and hard computing techniques can be used in different integrated manners to better develop autonomous robotic systems that can perform various tasks of vision, perception, cognition, thinking, pattern recognition, decision-making, and reasoning and control, amongst others. Each chapter of the book is self-contained and points out the future direction of research. "It is a must reading for students and researchers interested in exploring the potentials of the fascinating field that will form the basis for the design of the intelligent machines of the future" (Madan M. Gupta)

Health Care Delivery and Clinical Science Concepts Methodologies Tools and Applications

Health Care Delivery and Clinical Science  Concepts  Methodologies  Tools  and Applications
Author: Management Association, Information Resources
Publsiher: IGI Global
Total Pages: 1596
Release: 2017-12-01
ISBN 10: 1522539271
ISBN 13: 9781522539278
Language: EN, FR, DE, ES & NL

Health Care Delivery and Clinical Science Concepts Methodologies Tools and Applications Book Review:

The development of better processes to provide proper healthcare has enhanced contemporary society. By implementing effective collaborative strategies, this ensures proper quality and instruction for both the patient and medical practitioners. Health Care Delivery and Clinical Science: Concepts, Methodologies, Tools, and Applications is a comprehensive reference source for the latest scholarly material on emerging strategies and methods for delivering optimal healthcare and examines the latest techniques and methods of clinical science. Highlighting a range of pertinent topics such as medication management, health literacy, and patient engagement, this multi-volume book is ideally designed for professionals, practitioners, researchers, academics, and graduate students interested in healthcare delivery and clinical science.