Data Fusion For Situation Monitoring Incident Detection Alert And Response Management
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Data Fusion For Situation Monitoring Incident Detection Alert And Response Management
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Author : Elisa Shahbazian
language : en
Publisher: IOS Press
Release Date : 2005
Data Fusion For Situation Monitoring Incident Detection Alert And Response Management written by Elisa Shahbazian and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.
Data Fusion is an interdisciplinary technology domain. This work focuses on the 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.
Data Fusion For Situation Monitoring Incident Detection Alert And Response Management
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Author : E. Shahbazian
language : en
Publisher: IOS Press
Release Date : 2006-03-02
Data Fusion For Situation Monitoring Incident Detection Alert And Response Management written by E. Shahbazian and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-02 with Computers categories.
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).
Prediction And Recognition Of Piracy Efforts Using Collaborative Human Centric Information Systems
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Author : E. Bossé
language : en
Publisher: IOS Press
Release Date : 2013-03-21
Prediction And Recognition Of Piracy Efforts Using Collaborative Human Centric Information Systems written by E. Bossé and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-21 with History categories.
Maritime piracy is the cause of widespread international concern, and the number of pirate attacks has increased substantially in recent years. Many commercial vessels are inherently vulnerable to attack because of their size and relative slowness, and technological improvements have resulted in smaller crews on large vessels, whilst the absence of enforcement agencies in international waters has served only to make pirates more daring. Collaborative human-centric information support systems can significantly improve the ability of every nation to predict and prevent pirate attacks, or to recognize the nature and size of an attack rapidly when prevention fails, and improve the collective response to an emergency. This book presents the papers delivered at the NATO Advanced Study Institute (ASI) Prediction and Recognition of Piracy Efforts Using Collaborative Human-Centric Information Systems, held in Salamanca, Spain, in September 2011. A significant observation from previous NATO Advanced Study Institutes and Workshops was that domain experts responsible for maritime security were not fully aware of the wide variety of technological solutions available to enhance their support systems, and that although technology experts have a general understanding of the requirements in security systems, they often lacked knowledge concerning the operational constraints affecting those who implement security procedures. This ASI involved both technology and domain experts, as well as students from related fields of study. It offered an opportunity for them to discuss the issues surrounding the prediction, recognition and deterrence of maritime piracy, and will be of interest to all those whose work is related to this internationally important issue.
Harbour Protection Through Data Fusion Technologies
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Author : Elisa Shahbazian
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-12-03
Harbour Protection Through Data Fusion Technologies written by Elisa Shahbazian and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-03 with Computers categories.
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.
Cyber Security Solutions For Protecting And Building The Future Smart Grid
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Author : Divya Asija
language : en
Publisher: Elsevier
Release Date : 2024-10-08
Cyber Security Solutions For Protecting And Building The Future Smart Grid written by Divya Asija and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-08 with Technology & Engineering categories.
Cyber Security Solutions for Protecting and Building the Future Smart Grid guides the reader from the fundamentals of grid security to practical techniques necessary for grid defense. Through its triple structure, readers can expect pragmatic, detailed recommendations on the design of solutions and real-world problems. The book begins with a supportive grounding in the security needs and challenges of renewable-integrated modern grids. Next, industry professionals provide a wide range of case studies and examples for practical implementation.Finally, cutting-edge researchers and industry practitioners guide readers through regulatory requirements and develop a clear framework for identifying best practices. Providing a unique blend of theory and practice, this comprehensive resource will help readers safeguard the sustainable grids of the future. - Provides a fundamental overview of the challenges facing the renewable-integrated electric grid - Offers a wide range of case studies, examples, and practical techniques for implementing security in smart and micro-grids - Includes detailed guidance and discussion of international standards and regulations for industry and implementation
Advances And Challenges In Multisensor Data And Information Processing
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Author : Eric Lefebvre
language : en
Publisher: IOS Press
Release Date : 2007
Advances And Challenges In Multisensor Data And Information Processing written by Eric Lefebvre and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Business & Economics categories.
"Proceedings of the NATO Advanced Study Institute on Multisensor Data and Information Processing for Rapid and Robust Situation and Threat Assessment, Albena, Bulgaria, 16-27 May 2005"--T.p. verso.
Deep Learning For Radar And Communications Automatic Target Recognition
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Author : Uttam K. Majumder
language : en
Publisher: Artech House
Release Date : 2020-07-31
Deep Learning For Radar And Communications Automatic Target Recognition written by Uttam K. Majumder and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-31 with Technology & Engineering categories.
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.
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Author :
language : en
Publisher: IOS Press
Release Date :
written by and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Human Systems Integration To Enhance Maritime Domain Awareness For Port Harbour Security
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Author : Elisa Shahbazian
language : en
Publisher: IOS Press
Release Date : 2010
Human Systems Integration To Enhance Maritime Domain Awareness For Port Harbour Security written by Elisa Shahbazian and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Business & Economics categories.
"Proceedings of the NATO Advanced Research on Human Systems Integration to Enhance Maritime Domain Awareness for Port/Harbour Security Systems, Opatija, Croatia, 8-12 December 2008."-- T.p. verso.
Autonomous Intelligent Systems Agents And Data Mining
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Author : Vladimir Gorodetsky
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-05-30
Autonomous Intelligent Systems Agents And Data Mining written by Vladimir Gorodetsky and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-05-30 with Computers categories.
This book constitutes the refereed proceedings of the International Workshop on Autonomous Intelligent Systems: Agents and Data Mining, AIS-ADM 2005, held in St. Petersburg, Russia in June 2005. The 17 revised full papers presented together with 5 invited papers and the abstract of an invited talk were carefully reviewed and selected from 29 submissions. The papers are organized in topical sections on agent-based data mining issues, ontologies and Web mining, and applications and case studies.