Multisensor Integration And Fusion For Intelligent Machines And Systems

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Multisensor Integration and Fusion for Intelligent Machines and Systems

Author : Ren C. Luo
Publisher : Intellect Books
ISBN 13 :
Total Pages : 736 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Multisensor Integration and Fusion for Intelligent Machines and Systems by : Ren C. Luo

Download or read book Multisensor Integration and Fusion for Intelligent Machines and Systems written by Ren C. Luo and published by Intellect Books. This book was released on 1995 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: There has been a growing interest during the 1990s in the use of multiple sensors to increase the capabilities of intelligent machines and systems. This text is a compendium of some of the most important and influential work that has appeared in this area. In addition, it contains comprehensive introductory material and an extensive survey and review of related research. The volume should be useful to everyone interested in the development of more intelligent machines and systems through the synergistic use of multiple sensors.

Multisensor Fusion and Integration for Intelligent Systems

Author : Lee Suk-han
Publisher : Springer Science & Business Media
ISBN 13 : 354089859X
Total Pages : 476 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Multisensor Fusion and Integration for Intelligent Systems by : Lee Suk-han

Download or read book Multisensor Fusion and Integration for Intelligent Systems written by Lee Suk-han and published by Springer Science & Business Media. This book was released on 2009-05-28 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ?eld of multi-sensor fusion and integration is growing into signi?cance as our societyisintransitionintoubiquitouscomputingenvironmentswithroboticservices everywhere under ambient intelligence. What surround us are to be the networks of sensors and actuators that monitor our environment, health, security and safety, as well as the service robots, intelligent vehicles, and autonomous systems of ever heightened autonomy and dependability with integrated heterogeneous sensors and actuators. The ?eld of multi-sensor fusion and integration plays key role for m- ing the above transition possible by providing fundamental theories and tools for implementation. This volume is an edition of the papers selected from the 7th IEEE International Conference on Multi-Sensor Integration and Fusion, IEEE MFI‘08, held in Seoul, Korea, August 20–22, 2008. Only 32 papers out of the 122 papers accepted for IEEE MFI’08 were chosen and requested for revision and extension to be included in this volume. The 32 contributions to this volume are organized into three parts: Part I is dedicated to the Theories in Data and Information Fusion, Part II to the Multi-Sensor Fusion and Integration in Robotics and Vision, and Part III to the Applications to Sensor Networks and Ubiquitous Computing Environments. To help readers understand better, a part summary is included in each part as an introduction. The summaries of Parts I, II, and III are prepared respectively by Prof. Hanseok Ko, Prof. Sukhan Lee and Prof. Hernsoo Hahn.

Multisensor Fusion and Integration for Intelligent Systems

Author : Lee Suk-han
Publisher : Springer
ISBN 13 : 9783540898580
Total Pages : 479 pages
Book Rating : 4.8/5 (985 download)

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Book Synopsis Multisensor Fusion and Integration for Intelligent Systems by : Lee Suk-han

Download or read book Multisensor Fusion and Integration for Intelligent Systems written by Lee Suk-han and published by Springer. This book was released on 2009-05-28 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ?eld of multi-sensor fusion and integration is growing into signi?cance as our societyisintransitionintoubiquitouscomputingenvironmentswithroboticservices everywhere under ambient intelligence. What surround us are to be the networks of sensors and actuators that monitor our environment, health, security and safety, as well as the service robots, intelligent vehicles, and autonomous systems of ever heightened autonomy and dependability with integrated heterogeneous sensors and actuators. The ?eld of multi-sensor fusion and integration plays key role for m- ing the above transition possible by providing fundamental theories and tools for implementation. This volume is an edition of the papers selected from the 7th IEEE International Conference on Multi-Sensor Integration and Fusion, IEEE MFI‘08, held in Seoul, Korea, August 20–22, 2008. Only 32 papers out of the 122 papers accepted for IEEE MFI’08 were chosen and requested for revision and extension to be included in this volume. The 32 contributions to this volume are organized into three parts: Part I is dedicated to the Theories in Data and Information Fusion, Part II to the Multi-Sensor Fusion and Integration in Robotics and Vision, and Part III to the Applications to Sensor Networks and Ubiquitous Computing Environments. To help readers understand better, a part summary is included in each part as an introduction. The summaries of Parts I, II, and III are prepared respectively by Prof. Hanseok Ko, Prof. Sukhan Lee and Prof. Hernsoo Hahn.

Multisensor Fusion and Integration for Intelligent Systems

Author : Lee Suk-han
Publisher : Springer
ISBN 13 : 9783540898603
Total Pages : 479 pages
Book Rating : 4.8/5 (986 download)

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Book Synopsis Multisensor Fusion and Integration for Intelligent Systems by : Lee Suk-han

Download or read book Multisensor Fusion and Integration for Intelligent Systems written by Lee Suk-han and published by Springer. This book was released on 2009-10-22 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ?eld of multi-sensor fusion and integration is growing into signi?cance as our societyisintransitionintoubiquitouscomputingenvironmentswithroboticservices everywhere under ambient intelligence. What surround us are to be the networks of sensors and actuators that monitor our environment, health, security and safety, as well as the service robots, intelligent vehicles, and autonomous systems of ever heightened autonomy and dependability with integrated heterogeneous sensors and actuators. The ?eld of multi-sensor fusion and integration plays key role for m- ing the above transition possible by providing fundamental theories and tools for implementation. This volume is an edition of the papers selected from the 7th IEEE International Conference on Multi-Sensor Integration and Fusion, IEEE MFI‘08, held in Seoul, Korea, August 20–22, 2008. Only 32 papers out of the 122 papers accepted for IEEE MFI’08 were chosen and requested for revision and extension to be included in this volume. The 32 contributions to this volume are organized into three parts: Part I is dedicated to the Theories in Data and Information Fusion, Part II to the Multi-Sensor Fusion and Integration in Robotics and Vision, and Part III to the Applications to Sensor Networks and Ubiquitous Computing Environments. To help readers understand better, a part summary is included in each part as an introduction. The summaries of Parts I, II, and III are prepared respectively by Prof. Hanseok Ko, Prof. Sukhan Lee and Prof. Hernsoo Hahn.

Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System

Author : Sukhan Lee
Publisher : Springer
ISBN 13 : 3319905090
Total Pages : 300 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System by : Sukhan Lee

Download or read book Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System written by Sukhan Lee and published by Springer. This book was released on 2018-07-04 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected papers from the 13th IEEE International Conference on Multisensor Integration and Fusion for Intelligent Systems (MFI 2017) held in Daegu, Korea, November 16–22, 2017. It covers various topics, including sensor/actuator networks, distributed and cloud architectures, bio-inspired systems and evolutionary approaches, methods of cognitive sensor fusion, Bayesian approaches, fuzzy systems and neural networks, biomedical applications, autonomous land, sea and air vehicles, localization, tracking, SLAM, 3D perception, manipulation with multifinger hands, robotics, micro/nano systems, information fusion and sensors, and multimodal integration in HCI and HRI. The book is intended for robotics scientists, data and information fusion scientists, researchers and professionals at universities, research institutes and laboratories.

Multisensor Fusion

Author : Rajive Joshi
Publisher : World Scientific
ISBN 13 : 9789810238803
Total Pages : 340 pages
Book Rating : 4.2/5 (388 download)

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Book Synopsis Multisensor Fusion by : Rajive Joshi

Download or read book Multisensor Fusion written by Rajive Joshi and published by World Scientific. This book was released on 1999 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fusion of information from sensors with different physical characteristics, such as sight, touch, sound, etc., enhances the understanding of our surroundings and provides the basis for planning, decision-making, and control of autonomous and intelligent machines. The minimal representation approach to multisensor fusion is based on the use of an information measure as a universal yardstick for fusion. Using models of sensor uncertainty, the representation size guides the integration of widely varying types of data and maximizes the information contributed to a consistent interpretation. In this book, the general theory of minimal representation multisensor fusion is developed and applied in a series of experimental studies of sensor-based robot manipulation. A novel application of differential evolutionary computation is introduced to achieve practical and effective solutions to this difficult computational problem.

Data Fusion in Robotics & Machine Intelligence

Author : Bozzano G Luisa
Publisher : Academic Press
ISBN 13 : 0323138357
Total Pages : 559 pages
Book Rating : 4.3/5 (231 download)

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Book Synopsis Data Fusion in Robotics & Machine Intelligence by : Bozzano G Luisa

Download or read book Data Fusion in Robotics & Machine Intelligence written by Bozzano G Luisa and published by Academic Press. This book was released on 1992-10-12 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the techniques for modeling and integration of data provided by different sensors within robotics and knowledge sources within machine intelligence. Leaders in robotics and machine intelligence capture state-of-the-art technology in data sensor fusion and give a unified vision of the future of the field, presented from both the theoretical and practical angles.

Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing

Author : Ni-Bin Chang
Publisher : CRC Press
ISBN 13 : 1351650637
Total Pages : 647 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing by : Ni-Bin Chang

Download or read book Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing written by Ni-Bin Chang and published by CRC Press. This book was released on 2018-02-21 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last few years the scientific community has realized that obtaining a better understanding of interactions between natural systems and the man-made environment across different scales demands more research efforts in remote sensing. An integrated Earth system observatory that merges surface-based, air-borne, space-borne, and even underground sensors with comprehensive and predictive capabilities indicates promise for revolutionizing the study of global water, energy, and carbon cycles as well as land use and land cover changes. The aim of this book is to present a suite of relevant concepts, tools, and methods of integrated multisensor data fusion and machine learning technologies to promote environmental sustainability. The process of machine learning for intelligent feature extraction consists of regular, deep, and fast learning algorithms. The niche for integrating data fusion and machine learning for remote sensing rests upon the creation of a new scientific architecture in remote sensing science that is designed to support numerical as well as symbolic feature extraction managed by several cognitively oriented machine learning tasks at finer scales. By grouping a suite of satellites with similar nature in platform design, data merging may come to help for cloudy pixel reconstruction over the space domain or concatenation of time series images over the time domain, or even both simultaneously. Organized in 5 parts, from Fundamental Principles of Remote Sensing; Feature Extraction for Remote Sensing; Image and Data Fusion for Remote Sensing; Integrated Data Merging, Data Reconstruction, Data Fusion, and Machine Learning; to Remote Sensing for Environmental Decision Analysis, the book will be a useful reference for graduate students, academic scholars, and working professionals who are involved in the study of Earth systems and the environment for a sustainable future. The new knowledge in this book can be applied successfully in many areas of environmental science and engineering.

Computer Aided and Integrated Manufacturing Systems: Intelligent systems technologies

Author : Cornelius T. Leondes
Publisher : World Scientific
ISBN 13 : 9812389822
Total Pages : 254 pages
Book Rating : 4.8/5 (123 download)

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Book Synopsis Computer Aided and Integrated Manufacturing Systems: Intelligent systems technologies by : Cornelius T. Leondes

Download or read book Computer Aided and Integrated Manufacturing Systems: Intelligent systems technologies written by Cornelius T. Leondes and published by World Scientific. This book was released on 2003 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an invaluable five-volume reference on the very broad and highly significant subject of computer aided and integrated manufacturing systems. It is a set of distinctly titled and well-harmonized volumes by leading experts on the international scene.The techniques and technologies used in computer aided and integrated manufacturing systems have produced, and will no doubt continue to produce, major annual improvements in productivity, which is defined as the goods and services produced from each hour of work. This publication deals particularly with more effective utilization of labor and capital, especially information technology systems. Together the five volumes treat comprehensively the major techniques and technologies that are involved.

Advanced Robotics & Intelligent Machines

Author : J. O. Gray
Publisher : IET
ISBN 13 : 9780852968536
Total Pages : 408 pages
Book Rating : 4.9/5 (685 download)

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Book Synopsis Advanced Robotics & Intelligent Machines by : J. O. Gray

Download or read book Advanced Robotics & Intelligent Machines written by J. O. Gray and published by IET. This book was released on 1996 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced robotics describes the use of sensor-based robotic devices which exploit powerful computers to achieve the high levels of functionality that begin to mimic intelligent human behaviour. The object of this book is to summarise developments in the base technologies, survey recent applications and highlight new advanced concepts which will influence future progress.

Computer Aided and Integrated Manufacturing Systems

Author : Cornelius T. Leondes
Publisher : World Scientific
ISBN 13 : 9812796789
Total Pages : 254 pages
Book Rating : 4.8/5 (127 download)

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Book Synopsis Computer Aided and Integrated Manufacturing Systems by : Cornelius T. Leondes

Download or read book Computer Aided and Integrated Manufacturing Systems written by Cornelius T. Leondes and published by World Scientific. This book was released on 2003 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an invaluable five-volume reference on the very broad and highly significant subject of computer aided and integrated manufacturing systems. It is a set of distinctly titled and well-harmonized volumes by leading experts on the international scene. The techniques and technologies used in computer aided and integrated manufacturing systems have produced, and will no doubt continue to produce, major annual improvements in productivity, which is defined as the goods and services produced from each hour of work. This publication deals particularly with more effective utilization of labor and capital, especially information technology systems. Together the five volumes treat comprehensively the major techniques and technologies that are involved. Contents: .: Neural Networks Techniques for the Optical Inspection of Machined Parts (N Guglielmi et al.); Computer Techniques and Applications of Automated Process Planning in Manufacturing Systems (K A Aldakhilallah & R Ramesh); Internet-Based Manufacturing Systems: Techniques and Applications (H Lau); and other articles. Readership: Graduate students, academics, researchers, and industrialists in computer engineering, industrial engineering, mechanical engineering, systems engineering, artificial intelligence and operations management

The Industrial Electronics Handbook

Author : J. David Irwin
Publisher : CRC Press
ISBN 13 : 9780849383434
Total Pages : 1740 pages
Book Rating : 4.3/5 (834 download)

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Book Synopsis The Industrial Electronics Handbook by : J. David Irwin

Download or read book The Industrial Electronics Handbook written by J. David Irwin and published by CRC Press. This book was released on 1997-05-09 with total page 1740 pages. Available in PDF, EPUB and Kindle. Book excerpt: From traditional topics that form the core of industrial electronics, to new and emerging concepts and technologies, The Industrial Electronics Handbook, in a single volume, has the field covered. Nowhere else will you find so much information on so many major topics in the field. For facts you need every day, and for discussions on topics you have only dreamed of, The Industrial Electronics Handbook is an ideal reference.

Condition Monitoring and Control for Intelligent Manufacturing

Author : Lihui Wang
Publisher : Springer Science & Business Media
ISBN 13 : 1846282691
Total Pages : 400 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Condition Monitoring and Control for Intelligent Manufacturing by : Lihui Wang

Download or read book Condition Monitoring and Control for Intelligent Manufacturing written by Lihui Wang and published by Springer Science & Business Media. This book was released on 2006-08-02 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Condition modelling and control is a technique used to enable decision-making in manufacturing processes of interest to researchers and practising engineering. Condition Monitoring and Control for Intelligent Manufacturing will be bought by researchers and graduate students in manufacturing and control and engineering, as well as practising engineers in industries such as automotive and packaging manufacturing.

Multi-Sensor Image Fusion and Its Applications

Author : Rick S. Blum
Publisher : CRC Press
ISBN 13 : 1420026984
Total Pages : 528 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Multi-Sensor Image Fusion and Its Applications by : Rick S. Blum

Download or read book Multi-Sensor Image Fusion and Its Applications written by Rick S. Blum and published by CRC Press. This book was released on 2018-10-03 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Taking another lesson from nature, the latest advances in image processing technology seek to combine image data from several diverse types of sensors in order to obtain a more accurate view of the scene: very much the same as we rely on our five senses. Multi-Sensor Image Fusion and Its Applications is the first text dedicated to the theory and practice of the registration and fusion of image data, covering such approaches as statistical methods, color-related techniques, model-based methods, and visual information display strategies. After a review of state-of-the-art image fusion techniques, the book provides an overview of fusion algorithms and fusion performance evaluation. The following chapters explore recent progress and practical applications of the proposed techniques to solving problems in such areas as medical diagnosis, surveillance and biometric systems, remote sensing, nondestructive evaluation, blurred image restoration, and image quality assessment. Recognized leaders from industry and academia contribute the chapters, reflecting the latest research trends and providing useful algorithms to aid implementation. Supplying a 28-page full-color insert, Multi-Sensor Image Fusion and Its Applications clearly demonstrates the benefits and possibilities of this revolutionary development. It provides a solid knowledge base for applying these cutting-edge techniques to new challenges and creating future advances.

Information and Communication Technologies for Agriculture—Theme II: Data

Author : Dionysis D. Bochtis
Publisher : Springer Nature
ISBN 13 : 3030841480
Total Pages : 296 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Information and Communication Technologies for Agriculture—Theme II: Data by : Dionysis D. Bochtis

Download or read book Information and Communication Technologies for Agriculture—Theme II: Data written by Dionysis D. Bochtis and published by Springer Nature. This book was released on 2022-03-17 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is the second (II) of four under the main themes of Digitizing Agriculture and Information and Communication Technologies (ICT). The four volumes cover rapidly developing processes including Sensors (I), Data (II), Decision (III), and Actions (IV). Volumes are related to ‘digital transformation” within agricultural production and provision systems, and in the context of Smart Farming Technology and Knowledge-based Agriculture. Content spans broadly from data mining and visualization to big data analytics and decision making, alongside with the sustainability aspects stemming from the digital transformation of farming. The four volumes comprise the outcome of the 12th EFITA Congress, also incorporating chapters that originated from select presentations of the Congress. The first part of this book (II) focuses on data technologies in relation to agriculture and presents three key points in data management, namely, data collection, data fusion, and their uses in machine learning and artificial intelligent technologies. Part 2 is devoted to the integration of these technologies in agricultural production processes by presenting specific applications in the domain. Part 3 examines the added value of data management within agricultural products value chain. The book provides an exceptional reference for those researching and working in or adjacent to agricultural production, including engineers in machine learning and AI, operations management, decision analysis, information analysis, to name just a few. Specific advances covered in the volume: Big data management from heterogenous sources Data mining within large data sets Data fusion and visualization IoT based management systems Data Knowledge Management for converting data into valuable information Metadata and data standards for expanding knowledge through different data platforms AI - based image processing for agricultural systems Data - based agricultural business Machine learning application in agricultural products value chain

Articles de la confession de foi de l'église Anglicane

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (311 download)

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Book Synopsis Articles de la confession de foi de l'église Anglicane by :

Download or read book Articles de la confession de foi de l'église Anglicane written by and published by . This book was released on 1665 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Networked Filtering and Fusion in Wireless Sensor Networks

Author : Magdi S. Mahmoud
Publisher : CRC Press
ISBN 13 : 1482250977
Total Pages : 576 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Networked Filtering and Fusion in Wireless Sensor Networks by : Magdi S. Mahmoud

Download or read book Networked Filtering and Fusion in Wireless Sensor Networks written by Magdi S. Mahmoud and published by CRC Press. This book was released on 2014-12-20 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: By exploiting the synergies among available data, information fusion can reduce data traffic, filter noisy measurements, and make predictions and inferences about a monitored entity. Networked Filtering and Fusion in Wireless Sensor Networks introduces the subject of multi-sensor fusion as the method of choice for implementing distributed systems. The book examines the state of the art in information fusion. It presents the known methods, algorithms, architectures, and models of information fusion and discusses their applicability in the context of wireless sensor networks (WSNs). Paying particular attention to the wide range of topics that have been covered in recent literature, the text presents the results of a number of typical case studies. Complete with research supported elements and comprehensive references, this teaching-oriented volume uses standard scientific terminology, conventions, and notations throughout. It applies recently developed convex optimization theory and highly efficient algorithms in estimation fusion to open up discussion and provide researchers with an ideal starting point for further research on distributed estimation and fusion for WSNs. The book supplies a cohesive overview of the key results of theory and applications of information-fusion-related problems in networked systems in a unified framework. Providing advanced mathematical treatment of fundamental problems with information fusion, it will help you broaden your understanding of prospective applications and how to address such problems in practice. After reading the book, you will gain the understanding required to model parts of dynamic systems and use those models to develop distributed fusion control algorithms that are based on feedback control theory.