Advances and Challenges in Multisensor Data and Information Processing

Advances and Challenges in Multisensor Data and Information Processing
Author :
Publisher : IOS Press
Total Pages : 412
Release :
ISBN-10 : 9781586037277
ISBN-13 : 1586037277
Rating : 4/5 (77 Downloads)

Book Synopsis Advances and Challenges in Multisensor Data and Information Processing by : Eric Lefebvre

Download or read book Advances and Challenges in Multisensor Data and Information Processing written by Eric Lefebvre and published by IOS Press. This book was released on 2007 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Multisensor Data Fusion

Multisensor Data Fusion
Author :
Publisher : CRC Press
Total Pages : 639
Release :
ISBN-10 : 9781482263756
ISBN-13 : 1482263750
Rating : 4/5 (56 Downloads)

Book Synopsis Multisensor Data Fusion by : Hassen Fourati

Download or read book Multisensor Data Fusion written by Hassen Fourati and published by CRC Press. This book was released on 2017-12-19 with total page 639 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author :
Publisher : IOS Press
Total Pages : 6097
Release :
ISBN-10 :
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis by :

Download or read book written by and published by IOS Press. This book was released on with total page 6097 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Information Fusion and Analytics for Big Data and IoT

Information Fusion and Analytics for Big Data and IoT
Author :
Publisher : Artech House
Total Pages : 267
Release :
ISBN-10 : 9781630810887
ISBN-13 : 1630810886
Rating : 4/5 (87 Downloads)

Book Synopsis Information Fusion and Analytics for Big Data and IoT by : Eloi Bosse

Download or read book Information Fusion and Analytics for Big Data and IoT written by Eloi Bosse and published by Artech House. This book was released on 2016-02-01 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Internet of Things (IoT) and Big Data are hot topics in the world of intelligence operations and information gathering. This first-of-its-kind volume reveals the benefits of addressing these topics with the integration of Fusion of Information and Analytics Technologies (FIAT). The book explains how FIAT is materialized into decision support systems that are capable of supporting the prognosis, diagnosis, and prescriptive tasks within complex systems and organizations. This unique resource offers keen insight into how complex systems emerge from the interrelation of social and cognitive information, cyber and physical worlds, and the various models of decision-making and situational awareness. Practitioners also discover the central notions of analytics and information fusion. Moreover the book introduces propos such as integration through a FIAT computational model and applications at the systems level. This book concludes with a list of prospective research activities that can contribute towards the required FIAT integration for critical application domains such as: energy, health, transport and defense and security.

Integrated Tracking, Classification, and Sensor Management

Integrated Tracking, Classification, and Sensor Management
Author :
Publisher : John Wiley & Sons
Total Pages : 569
Release :
ISBN-10 : 9781118450567
ISBN-13 : 1118450566
Rating : 4/5 (67 Downloads)

Book Synopsis Integrated Tracking, Classification, and Sensor Management by : Mahendra Mallick

Download or read book Integrated Tracking, Classification, and Sensor Management written by Mahendra Mallick and published by John Wiley & Sons. This book was released on 2012-11-05 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique guide to the state of the art of tracking, classification, and sensor management This book addresses the tremendous progress made over the last few decades in algorithm development and mathematical analysis for filtering, multi-target multi-sensor tracking, sensor management and control, and target classification. It provides for the first time an integrated treatment of these advanced topics, complete with careful mathematical formulation, clear description of the theory, and real-world applications. Written by experts in the field, Integrated Tracking, Classification, and Sensor Management provides readers with easy access to key Bayesian modeling and filtering methods, multi-target tracking approaches, target classification procedures, and large scale sensor management problem-solving techniques. Features include: An accessible coverage of random finite set based multi-target filtering algorithms such as the Probability Hypothesis Density filters and multi-Bernoulli filters with focus on problem solving A succinct overview of the track-oriented MHT that comprehensively collates all significant developments in filtering and tracking A state-of-the-art algorithm for hybrid Bayesian network (BN) inference that is efficient and scalable for complex classification models New structural results in stochastic sensor scheduling and algorithms for dynamic sensor scheduling and management Coverage of the posterior Cramer-Rao lower bound (PCRLB) for target tracking and sensor management Insight into cutting-edge military and civilian applications, including intelligence, surveillance, and reconnaissance (ISR) With its emphasis on the latest research results, Integrated Tracking, Classification, and Sensor Management is an invaluable guide for researchers and practitioners in statistical signal processing, radar systems, operations research, and control theory.

Relational Calculus for Actionable Knowledge

Relational Calculus for Actionable Knowledge
Author :
Publisher : Springer Nature
Total Pages : 356
Release :
ISBN-10 : 9783030924300
ISBN-13 : 3030924300
Rating : 4/5 (00 Downloads)

Book Synopsis Relational Calculus for Actionable Knowledge by : Michel Barès

Download or read book Relational Calculus for Actionable Knowledge written by Michel Barès and published by Springer Nature. This book was released on 2022-01-21 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on one of the major challenges of the newly created scientific domain known as data science: turning data into actionable knowledge in order to exploit increasing data volumes and deal with their inherent complexity. Actionable knowledge has been qualitatively and intensively studied in management, business, and the social sciences but in computer science and engineering, its connection has only recently been established to data mining and its evolution, ‘Knowledge Discovery and Data Mining’ (KDD). Data mining seeks to extract interesting patterns from data, but, until now, the patterns discovered from data have not always been ‘actionable’ for decision-makers in Socio-Technical Organizations (STO). With the evolution of the Internet and connectivity, STOs have evolved into Cyber-Physical and Social Systems (CPSS) that are known to describe our world today. In such complex and dynamic environments, the conventional KDD process is insufficient, and additional processes are required to transform complex data into actionable knowledge. Readers are presented with advanced knowledge concepts and the analytics and information fusion (AIF) processes aimed at delivering actionable knowledge. The authors provide an understanding of the concept of ‘relation’ and its exploitation, relational calculus, as well as the formalization of specific dimensions of knowledge that achieve a semantic growth along the AIF processes. This book serves as an important technical presentation of relational calculus and its application to processing chains in order to generate actionable knowledge. It is ideal for graduate students, researchers, or industry professionals interested in decision science and knowledge engineering.

Multi-Sensor Data Fusion

Multi-Sensor Data Fusion
Author :
Publisher : Springer Science & Business Media
Total Pages : 281
Release :
ISBN-10 : 9783540715597
ISBN-13 : 3540715592
Rating : 4/5 (97 Downloads)

Book Synopsis Multi-Sensor Data Fusion by : H.B. Mitchell

Download or read book Multi-Sensor Data Fusion written by H.B. Mitchell and published by Springer Science & Business Media. This book was released on 2007-07-13 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.