Dynamic Information Theoretic Sensor Selection Schemes For Target Tracking Applications

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Dynamic Information-theoretic Sensor Selection Schemes for Target Tracking Applications

Author : Farzaneh Razavi Armaghani
Publisher :
ISBN 13 :
Total Pages : 308 pages
Book Rating : 4.:/5 (11 download)

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Book Synopsis Dynamic Information-theoretic Sensor Selection Schemes for Target Tracking Applications by : Farzaneh Razavi Armaghani

Download or read book Dynamic Information-theoretic Sensor Selection Schemes for Target Tracking Applications written by Farzaneh Razavi Armaghani and published by . This book was released on 2013 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wireless Sensor Networks (WSNs) provide ad hoc infrastructure for the applications that must operate in remote and harsh environments, e.g. target tracking, wildlife tracking, and environmental monitoring. The primary factors driving such pervasive applications are the flexibility, fault tolerance, high sensing fidelity, low cost, and rapid deployment characteristics of WSNs. Energy efficiency is a critical feature of WSNs because sensor nodes run on batteries. Batteries are generally difficult to recharge after deployment. The principal way of increasing the network lifetime is to minimise the number of active sensors in the region of interest.Target tracking applications, being some of the main applications in WSNs, need continuous location estimations of moving objects. The requirement for high accuracy of estimations poses an additional challenge to WSNs. Accuracy of estimations can be improved by activating more sensors. However, this approach to increasing accuracy can result in higher energy consumption and a shorter network lifetime. Therefore, a reliable and effective sensor selection scheme is necessary to rotate the tracking task between the optimal sets of active sensors, to balance the trade-off between estimation accuracy and network lifetime.This thesis addresses the problem of the accuracy-lifetime trade-off in sensor selection, for three types of target tracking applications: single target tracking, multiple-target tracking, and group target tracking. Particle filtering is a widely used Bayesian estimation method that is capable of solving realistic problems. We propose, develop, implement, and validate predictive sensor selection schemes to find the best set of active sensors heuristically. The proposed schemes take advantage of particle filtering to calculate the sensor information utilities based on the predicted locations of targets. The use of sensor information utilities and sensor energy parameters in the design of selection cost metrics facilitates the formation of best sets of active sensors. In addition, the problem of the accuracy-lifetime trade-off deals with the type of data processing mechanism. The proposed schemes investigate the impact of both local and central data processing on the trade-off. Group target tracking applications demand a compatible clustering algorithm to accurately estimate the groups and their constituent targets. The proposed clustering framework adaptively finds the target groups based on the notation of trajectory mining and graph theory, and is incorporated in the design of a region-based sensor selection scheme for group target tracking. To deal with the accuracy-lifetime trade-off, our sensor selection philosophy is to select a dynamic number of sensors at anytime.This thesis presents implementation and evaluation details of the proposed schemes. Extensive simulations and evaluations have been performed to show the energy efficiency of the proposed schemes in accurate tracking of the single, multiple, or grouped targets. The proposed schemes can be applied in different tracking and monitoring applications, e.g. wildlife tracking, environmental monitoring, bushfire tracking, and traffic management. The application is made feasible by redefining the concept of information utility based on the physical property of interest, e.g. sound and temperature. We believe that the adoption of the proposed schemes would assist any tracking application to dynamically reconfigure the sensor activities, so that network lifetime is prolonged and a high quality of information is attained.

Integrated Tracking, Classification, and Sensor Management

Author : Mahendra Mallick
Publisher : John Wiley & Sons
ISBN 13 : 0470639059
Total Pages : 738 pages
Book Rating : 4.4/5 (76 download)

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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 2012-12-03 with total page 738 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.

Sensor Management for Target Tracking Applications

Author : Per Boström-Rost
Publisher : Linköping University Electronic Press
ISBN 13 : 9179296726
Total Pages : 61 pages
Book Rating : 4.1/5 (792 download)

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Book Synopsis Sensor Management for Target Tracking Applications by : Per Boström-Rost

Download or read book Sensor Management for Target Tracking Applications written by Per Boström-Rost and published by Linköping University Electronic Press. This book was released on 2021-04-12 with total page 61 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many practical applications, such as search and rescue operations and environmental monitoring, involve the use of mobile sensor platforms. The workload of the sensor operators is becoming overwhelming, as both the number of sensors and their complexity are increasing. This thesis addresses the problem of automating sensor systems to support the operators. This is often referred to as sensor management. By planning trajectories for the sensor platforms and exploiting sensor characteristics, the accuracy of the resulting state estimates can be improved. The considered sensor management problems are formulated in the framework of stochastic optimal control, where prior knowledge, sensor models, and environment models can be incorporated. The core challenge lies in making decisions based on the predicted utility of future measurements. In the special case of linear Gaussian measurement and motion models, the estimation performance is independent of the actual measurements. This reduces the problem of computing sensing trajectories to a deterministic optimal control problem, for which standard numerical optimization techniques can be applied. A theorem is formulated that makes it possible to reformulate a class of nonconvex optimization problems with matrix-valued variables as convex optimization problems. This theorem is then used to prove that globally optimal sensing trajectories can be computed using off-the-shelf optimization tools. As in many other fields, nonlinearities make sensor management problems more complicated. Two approaches are derived to handle the randomness inherent in the nonlinear problem of tracking a maneuvering target using a mobile range-bearing sensor with limited field of view. The first approach uses deterministic sampling to predict several candidates of future target trajectories that are taken into account when planning the sensing trajectory. This significantly increases the tracking performance compared to a conventional approach that neglects the uncertainty in the future target trajectory. The second approach is a method to find the optimal range between the sensor and the target. Given the size of the sensor's field of view and an assumption of the maximum acceleration of the target, the optimal range is determined as the one that minimizes the tracking error while satisfying a user-defined constraint on the probability of losing track of the target. While optimization for tracking of a single target may be difficult, planning for jointly maintaining track of discovered targets and searching for yet undetected targets is even more challenging. Conventional approaches are typically based on a traditional tracking method with separate handling of undetected targets. Here, it is shown that the Poisson multi-Bernoulli mixture (PMBM) filter provides a theoretical foundation for a unified search and track method, as it not only provides state estimates of discovered targets, but also maintains an explicit representation of where undetected targets may be located. Furthermore, in an effort to decrease the computational complexity, a version of the PMBM filter which uses a grid-based intensity to represent undetected targets is derived.

Intelligent Wireless Binary Sensor Network System for Indoor Multiple Target Tracking

Author : Jiang Lu
Publisher :
ISBN 13 :
Total Pages : 172 pages
Book Rating : 4.:/5 (915 download)

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Book Synopsis Intelligent Wireless Binary Sensor Network System for Indoor Multiple Target Tracking by : Jiang Lu

Download or read book Intelligent Wireless Binary Sensor Network System for Indoor Multiple Target Tracking written by Jiang Lu and published by . This book was released on 2015 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiple human tracking is desirable for many applications ranging from surveillance to gait biometrics, robotics and intelligent space. In recent, the low cost, low power consumption sensors, such as acoustic sensor, thermal sensors, pressure sensors, photonic sensors provide a new way to achieve multiple human tracking compared with the conventional tracking, such as Radar, Sonar and video tracking. Advances in sensor network technologies enable the development of distributed tracking systems. In this thesis, we attempt to explain the multiple human tracking problems with our binary pyroelectric infrared (PIR) sensors. We will cover from the designs of hardware sensor nodes to the problems of sensor node selection and calibration to the framework of binary compressive tracking to the implementation of distributed wireless senor system for tracking. In particular, we will investigate (a) A compressive multiple human tracking system using space encoding / decoding methods. (b) A Binary compressive tracking framework using low density parity check (LDPC) matrix and linear programming for encoding and decoding schemes. (c) A distributed information filter algorithm for tracking. (d) The information gain based sensor selection scheme and NMF based calibration scheme. The major accomplishments of this thesis include the following four aspects: (1) Space encoding and measurement decoding schemes. The space encoding scheme is based on the low density parity check (LDPC) matrix, which converts k-sparse target position vectors into different codewords. The measurement decoding scheme contains linear programming based localization and graphical model based tracking algorithms, which converts codewords into the states of multiple targets. A posterior Cram\'er-Rao bound analysis is utilized to achieve the tradeoff between the compression ratio of measurements and the accuracy of the tracking system. (2) Information driven sensors selection scheme. The information gain is used to dynamically adding sensors to maximize the information gain. The sensor selection procedure provides the maximum information gain for the whole sensor system which contains the minimum sensor numbers that can be used for tracking. (3) NMF based sensor calibration scheme. We provide a probability model for sensor calibration. Nonnegtive Matrix Factorization method is used to update the probability model. The calibration of sensor parameters, positions and orientations, then can be computed from the updated probability model. (4) Graphical model based problem illustration. We describe the graphical model for tracking algorithms. Various hidden variables can be added in graphical model. Also, a factor graph of tracking is provided to describe the distribute way of belief propagation.

Handbook of Dynamic Data Driven Applications Systems

Author : Frederica Darema
Publisher : Springer Nature
ISBN 13 : 3031279867
Total Pages : 937 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Handbook of Dynamic Data Driven Applications Systems by : Frederica Darema

Download or read book Handbook of Dynamic Data Driven Applications Systems written by Frederica Darema and published by Springer Nature. This book was released on 2023-10-16 with total page 937 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 engineered, natural, and societal systems (“applications systems”), and for the commensurate wide set of scientific and engineering fields and applications, as well as foundational areas. The DDDAS book series aims to be a reference source of many of the important research and development efforts conducted under the rubric of DDDAS, and to also inspire the broader communities of researchers and developers about the potential in their respective areas of interest, of the application and the exploitation of the DDDAS paradigm and the ensuing frameworks, through the examples and case studies presented, either within their own field or other fields of study. As in the first volume, the chapters in this book reflect research work conducted over the years starting in the 1990’s to the present. Here, the theory and application content are considered for: Foundational Methods Materials Systems Structural Systems Energy Systems Environmental Systems: Domain Assessment & Adverse Conditions/Wildfires Surveillance Systems Space Awareness Systems Healthcare Systems Decision Support Systems Cyber Security Systems Design of Computer Systems The readers of this book series will benefit from DDDAS theory advances such as object estimation, information fusion, and sensor management. The increased interest in Artificial Intelligence (AI), Machine Learning and Neural Networks (NN) provides opportunities for DDDAS-based methods to show the key role DDDAS plays in enabling AI capabilities; address challenges that ML-alone does not, and also show how ML in combination with DDDAS-based methods can deliver the advanced capabilities sought; likewise, infusion of DDDAS-like approaches in NN-methods strengthens such methods. Moreover, the “DDDAS-based Digital Twin” or “Dynamic Digital Twin”, goes beyond the traditional DT notion where the model and the physical system are viewed side-by-side in a static way, to a paradigm where the model dynamically interacts with the physical system through its instrumentation, (per the DDDAS feed-back control loop between model and instrumentation).

Author :
Publisher : CRC Press
ISBN 13 : 1135439621
Total Pages : 1142 pages
Book Rating : 4.1/5 (354 download)

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Book Synopsis by :

Download or read book written by and published by CRC Press. This book was released on with total page 1142 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advanced Intelligent Computing Theories and Applications - With Aspects of Theoretical and Methodological Issues

Author : De-Shuang Huang
Publisher : Springer
ISBN 13 : 3540741712
Total Pages : 1402 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Advanced Intelligent Computing Theories and Applications - With Aspects of Theoretical and Methodological Issues by : De-Shuang Huang

Download or read book Advanced Intelligent Computing Theories and Applications - With Aspects of Theoretical and Methodological Issues written by De-Shuang Huang and published by Springer. This book was released on 2007-07-31 with total page 1402 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume, in conjunction with the two volumes CICS 0002 and LNAI 4682, constitutes the refereed proceedings of the Third International Conference on Intelligent Computing held in Qingdao, China, in August 2007. The 139 full papers published here were carefully reviewed and selected from among 2,875 submissions. Collectively, these papers represent some of the most important findings and insights into the field of intelligent computing.

Internet of Things and M2M Communications

Author : Fabrice Theoleyr
Publisher : River Publishers
ISBN 13 : 8792982484
Total Pages : 221 pages
Book Rating : 4.7/5 (929 download)

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Book Synopsis Internet of Things and M2M Communications by : Fabrice Theoleyr

Download or read book Internet of Things and M2M Communications written by Fabrice Theoleyr and published by River Publishers. This book was released on 2013-04-17 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Internet of Things is the emerging technology which interconnects smart objects using wireless communications. After having been extensively studied in academic labs, the Internet of Things is now widely applied in the industrial world (e.g. domestic automation, smart metering, smart cities). Internet of Things and M2M Communications presents the key concepts used in the Internet of Things. In particular, Machine to Machine (M2M) communications have to be energy efficient so that all the smart objects may operate for years on a single battery. Besides, whilst constructing an efficient global digital world combining personal/private and external/general data, security and privacy issues have also to be covered adequately. Contents: Part I. Energy Constrained IoT Effect of Data Aggregation in M2M Networks OR-AHad: An Opportunistic Routing Algorithm for Energy Harvesting WSN An Off-line Tool for Accurately Estimating the Lifetime of a Wireless Mote Part II. Transmission Scheduling Delay-Constrained Scheduling in Wireless Sensor Networks Distributed Scheduling for Cooperative Tracking in Hierarchical Wireless Sensor Networks Time Synchronization on Cognitive Radio Ad Hoc Networks: A Bio-Inspired Approach Part III. Security & Tests Secure Access Control and Authority Delegation Based on Capability and Context Awareness for Federated IoT Jamming and Physical Layer Security for Cooperative Wireless Communication Performance Modeling and Simulation of Machine-to-Machine (M2M) Systems

Target Tracking with Distributed Sensing

Author : Patricia de Rezende Barbosa
Publisher :
ISBN 13 :
Total Pages : 236 pages
Book Rating : 4.:/5 (688 download)

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Book Synopsis Target Tracking with Distributed Sensing by : Patricia de Rezende Barbosa

Download or read book Target Tracking with Distributed Sensing written by Patricia de Rezende Barbosa and published by . This book was released on 2010 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Wireless Algorithms, Systems, and Applications

Author : Benyuan Liu
Publisher : Springer Science & Business Media
ISBN 13 : 3642034160
Total Pages : 606 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Wireless Algorithms, Systems, and Applications by : Benyuan Liu

Download or read book Wireless Algorithms, Systems, and Applications written by Benyuan Liu and published by Springer Science & Business Media. This book was released on 2009-07-28 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th Annual International Conference on Wireless Algorithms, Systems, and Applications, WASA 2009, held in Boston, MA, USA, in August 2009. The 36 revised full papers presented together with 15 invited papers and 7 workshop papers were carefully reviewed and selected from numerous submissions. Providing a forum for researchers and practitioners worldwide, the papers address current research and development efforts of various issues in the area of algorithms, systems and applications for current and next generation infrastructure and wireless networks. They are divided in topical sections on applications, experimentation, power management; coverage, detection, and topology control; routing, querying, and data collection; localization, security, and services; scheduling and resource management; and online social networks, applications, and systems.

Signal Processing, Sensor Fusion, and Target Recognition

Author :
Publisher :
ISBN 13 :
Total Pages : 548 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Signal Processing, Sensor Fusion, and Target Recognition by :

Download or read book Signal Processing, Sensor Fusion, and Target Recognition written by and published by . This book was released on 1998 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Information Processing in Sensor Networks

Author : Feng Zhao
Publisher : Springer Science & Business Media
ISBN 13 : 3540021116
Total Pages : 688 pages
Book Rating : 4.5/5 (4 download)

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Book Synopsis Information Processing in Sensor Networks by : Feng Zhao

Download or read book Information Processing in Sensor Networks written by Feng Zhao and published by Springer Science & Business Media. This book was released on 2003-04-10 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Workshop on Information Processing in Sensor Networks, IPSN 2003, held in Palo Alto, CA, USA, in April 2003. The 23 revised full papers and 21 revised poster papers presented were carefully reviewed and selected from 73 submissions. Among the topics addressed are wireless sensor networks, query processing, decentralized sensor platforms, distributed databases, distributed group management, sensor network design, collaborative signal processing, adhoc sensor networks, distributed algorithms, distributed sensor network control, sensor network resource management, data service middleware, random sensor networks, mobile agents, target tracking, sensor network protocols, large scale sensor networks, and multicast.

Distributed Sensor Networks

Author : S. Sitharama Iyengar
Publisher : CRC Press
ISBN 13 : 1482260581
Total Pages : 1679 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Distributed Sensor Networks by : S. Sitharama Iyengar

Download or read book Distributed Sensor Networks written by S. Sitharama Iyengar and published by CRC Press. This book was released on 2022-06-01 with total page 1679 pages. Available in PDF, EPUB and Kindle. Book excerpt: The best-selling Distributed Sensor Networks became the definitive guide to understanding this far-reaching technology. Preserving the excellence and accessibility of its predecessor, Distributed Sensor Networks, Second Edition once again provides all the fundamentals and applications in one complete, self-contained source. Ideal as a tutorial for students or as research material for engineers, the book gives readers up-to-date, practical insight on all aspects of the field.This two volume set, this second edition has been revised and expanded with over 500 additional pages and more than 300 new illustrations. This edition incorporates contributions from many veterans of the DARPA ISO SENSIT program as well as new material from distinguished researchers in the field. It offers 13 fully revised chapters and 22 new chapters, covering new perspectives on information fusion, the latest technical developments, and current sensor network applications. Volume 1 Image and Sensor Signal Processing includes: Distributed Sensing and Signal Processing; Information Fusion; and Power Management. Volume 2 Sensor Networking and Applications includes: Sensor Deployment; Adaptive Tasking; Self-Configuration; System Control; and Engineering Examples.

Game Theory for Next Generation Wireless and Communication Networks

Author : Zhu Han
Publisher : Cambridge University Press
ISBN 13 : 1108278701
Total Pages : 509 pages
Book Rating : 4.1/5 (82 download)

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Book Synopsis Game Theory for Next Generation Wireless and Communication Networks by : Zhu Han

Download or read book Game Theory for Next Generation Wireless and Communication Networks written by Zhu Han and published by Cambridge University Press. This book was released on 2019-06-27 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the very latest game-theoretic approaches for designing, modeling, and optimizing emerging wireless communication networks and systems with this unique text. Providing a unified and comprehensive treatment throughout, it explains basic concepts and theories for designing novel distributed wireless networking mechanisms, describes emerging game-theoretic tools from an engineering perspective, and provides an extensive overview of recent applications. A wealth of new tools is covered - including matching theory and games with bounded rationality - and tutorial chapters show how to use these tools to solve current and future wireless networking problems in areas such as 5G networks, network virtualization, software defined networks, cloud computing, the Internet of Things, context-aware networks, green communications, and security. This is an ideal resource for telecommunications engineers, and researchers in industry and academia who are working on the design of efficient, scalable, and robust communication protocols for future wireless networks, as well as graduate students in these fields.

Distributed Sensor Networks, Second Edition

Author : S. Sitharama Iyengar
Publisher : CRC Press
ISBN 13 : 1439862826
Total Pages : 767 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Distributed Sensor Networks, Second Edition by : S. Sitharama Iyengar

Download or read book Distributed Sensor Networks, Second Edition written by S. Sitharama Iyengar and published by CRC Press. This book was released on 2012-09-24 with total page 767 pages. Available in PDF, EPUB and Kindle. Book excerpt: The best-selling Distributed Sensor Networks became the definitive guide to understanding this far-reaching technology. Preserving the excellence and accessibility of its predecessor, Distributed Sensor Networks, Second Edition once again provides all the fundamentals and applications in one complete, self-contained source. Ideal as a tutorial for students or as research material for engineers, the book gives readers up-to-date, practical insight on all aspects of the field. Revised and expanded, this second edition incorporates contributions from many veterans of the DARPA ISO SENSIT program as well as new material from distinguished researchers in the field. Image and Sensor Signal Processing focuses on software issues and the history and future of sensor networks. The book also covers information fusion and power management. Readers of this book may also be interested in Distributed Sensor Networks, Second Edition: Sensor Networking and Applications (ISBN: 9781439862872).

Advanced Signal Processing Handbook

Author : Stergios Stergiopoulos
Publisher : CRC Press
ISBN 13 : 135136944X
Total Pages : 752 pages
Book Rating : 4.3/5 (513 download)

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Book Synopsis Advanced Signal Processing Handbook by : Stergios Stergiopoulos

Download or read book Advanced Signal Processing Handbook written by Stergios Stergiopoulos and published by CRC Press. This book was released on 2017-09-08 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in digital signal processing algorithms and computer technology have combined to produce real-time systems with capabilities far beyond those of just few years ago. Nonlinear, adaptive methods for signal processing have emerged to provide better array gain performance, however, they lack the robustness of conventional algorithms. The challenge remains to develop a concept that exploits the advantages of both-a scheme that integrates these methods in practical, real-time systems. The Advanced Signal Processing Handbook helps you meet that challenge. Beyond offering an outstanding introduction to the principles and applications of advanced signal processing, it develops a generic processing structure that takes advantage of the similarities that exist among radar, sonar, and medical imaging systems and integrates conventional and nonlinear processing schemes.

NDT Data Fusion

Author : Xavier Gros
Publisher : Elsevier
ISBN 13 : 0080524044
Total Pages : 233 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis NDT Data Fusion by : Xavier Gros

Download or read book NDT Data Fusion written by Xavier Gros and published by Elsevier. This book was released on 1996-11-01 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.