sensor-signal-and-information-processing-ii

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Sensor Signal and Information Processing II

Author : Wai Lok Woo
Publisher : MDPI
ISBN 13 : 3039282700
Total Pages : 418 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Sensor Signal and Information Processing II by : Wai Lok Woo

Download or read book Sensor Signal and Information Processing II written by Wai Lok Woo and published by MDPI. This book was released on 2020-12-29 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the current age of information explosion, newly invented technological sensors and software are now tightly integrated with our everyday lives. Many sensor processing algorithms have incorporated some forms of computational intelligence as part of their core framework in problem solving. These algorithms have the capacity to generalize and discover knowledge for themselves and learn new information whenever unseen data are captured. The primary aim of sensor processing is to develop techniques to interpret, understand, and act on information contained in the data. The interest of this book is in developing intelligent signal processing in order to pave the way for smart sensors. This involves mathematical advancement of nonlinear signal processing theory and its applications that extend far beyond traditional techniques. It bridges the boundary between theory and application, developing novel theoretically inspired methodologies targeting both longstanding and emergent signal processing applications. The topic ranges from phishing detection to integration of terrestrial laser scanning, and from fault diagnosis to bio-inspiring filtering. The book will appeal to established practitioners, along with researchers and students in the emerging field of smart sensors processing.

Sensor Signal and Information Processing II.

Author : Wai Lok Woo
Publisher :
ISBN 13 : 9783039282715
Total Pages : 418 pages
Book Rating : 4.2/5 (827 download)

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Book Synopsis Sensor Signal and Information Processing II. by : Wai Lok Woo

Download or read book Sensor Signal and Information Processing II. written by Wai Lok Woo and published by . This book was released on 2020 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the current age of information explosion, newly invented technological sensors and software are now tightly integrated with our everyday lives. Many sensor processing algorithms have incorporated some forms of computational intelligence as part of their core framework in problem solving. These algorithms have the capacity to generalize and discover knowledge for themselves and learn new information whenever unseen data are captured. The primary aim of sensor processing is to develop techniques to interpret, understand, and act on information contained in the data. The interest of this book is in developing intelligent signal processing in order to pave the way for smart sensors. This involves mathematical advancement of nonlinear signal processing theory and its applications that extend far beyond traditional techniques. It bridges the boundary between theory and application, developing novel theoretically inspired methodologies targeting both longstanding and emergent signal processing applications. The topic ranges from phishing detection to integration of terrestrial laser scanning, and from fault diagnosis to bio-inspiring filtering. The book will appeal to established practitioners, along with researchers and students in the emerging field of smart sensors processing.

Sensor Signal and Information Processing III

Author : Wai Lok Woo
Publisher : MDPI
ISBN 13 : 303650012X
Total Pages : 394 pages
Book Rating : 4.0/5 (365 download)

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Book Synopsis Sensor Signal and Information Processing III by : Wai Lok Woo

Download or read book Sensor Signal and Information Processing III written by Wai Lok Woo and published by MDPI. This book was released on 2021-02-05 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the current age of information explosion, newly invented technological sensors and software are now tightly integrated with our everyday lives. Many sensor processing algorithms have incorporated some forms of computational intelligence as part of their core framework in problem-solving. These algorithms have the capacity to generalize and discover knowledge for themselves and to learn new information whenever unseen data are captured. The primary aim of sensor processing is to develop techniques to interpret, understand, and act on information contained in the data. The interest of this book is in developing intelligent signal processing in order to pave the way for smart sensors. This involves the mathematical advancement of nonlinear signal processing theory and its applications that extend far beyond traditional techniques. It bridges the boundary between theory and application, developing novel theoretically inspired methodologies targeting both longstanding and emergent signal processing applications. The topics range from phishing detection to integration of terrestrial laser scanning, and from fault diagnosis to bio-inspired filtering. The book will appeal to established practitioners, along with researchers and students in the emerging field of smart sensor signal processing.

Wireless Sensor Networks

Author : Feng Zhao
Publisher : Morgan Kaufmann
ISBN 13 : 1558609148
Total Pages : 378 pages
Book Rating : 4.5/5 (586 download)

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Book Synopsis Wireless Sensor Networks by : Feng Zhao

Download or read book Wireless Sensor Networks written by Feng Zhao and published by Morgan Kaufmann. This book was released on 2004-07-06 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher Description

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.

Sensor Signal and Information Processing III.

Author : Wai Lok Woo
Publisher :
ISBN 13 : 9783036500133
Total Pages : 394 pages
Book Rating : 4.5/5 (1 download)

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Book Synopsis Sensor Signal and Information Processing III. by : Wai Lok Woo

Download or read book Sensor Signal and Information Processing III. written by Wai Lok Woo and published by . This book was released on 2021 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the current age of information explosion, newly invented technological sensors and software are now tightly integrated with our everyday lives. Many sensor processing algorithms have incorporated some forms of computational intelligence as part of their core framework in problem-solving. These algorithms have the capacity to generalize and discover knowledge for themselves and to learn new information whenever unseen data are captured. The primary aim of sensor processing is to develop techniques to interpret, understand, and act on information contained in the data. The interest of this book is in developing intelligent signal processing in order to pave the way for smart sensors. This involves the mathematical advancement of nonlinear signal processing theory and its applications that extend far beyond traditional techniques. It bridges the boundary between theory and application, developing novel theoretically inspired methodologies targeting both longstanding and emergent signal processing applications. The topics range from phishing detection to integration of terrestrial laser scanning, and from fault diagnosis to bio-inspired filtering. The book will appeal to established practitioners, along with researchers and students in the emerging field of smart sensor signal processing.

Advanced Hybrid Information Processing

Author : Guan Gui
Publisher : Springer Nature
ISBN 13 : 3030364054
Total Pages : 476 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Advanced Hybrid Information Processing by : Guan Gui

Download or read book Advanced Hybrid Information Processing written by Guan Gui and published by Springer Nature. This book was released on 2019-11-28 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNICST 301 -302 constitutes the post-conference proceedings of the Third EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2019, held in Nanjing, China, in September 2019. The 101 papers presented were selected from 237 submissions and focus on hybrid big data processing. Since information processing has acted as an important research domain in science and technology today, it is now to develop deeper and wider use of hybrid information processing, especially information processing for big data. There are more remaining issues waiting for solving, such as classification and systemization of big data, objective tracking and behavior understanding in big multimedia data, encoding and compression of big data.

Intelligent Information Processing II

Author : Qing He
Publisher : Springer
ISBN 13 : 0387231528
Total Pages : 550 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Intelligent Information Processing II by : Qing He

Download or read book Intelligent Information Processing II written by Qing He and published by Springer. This book was released on 2006-01-20 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining is the process of posing queries and extracting useful information, patterns and trends previously unknown from large quantities of data [Thu, 00]. It is the process where intelligent tools are applied in order to extract data patterns [JM, 01]. This encompasses a number of different technical approaches, such as cluster analysis, learning classification and association rules, and finding dependencies. Agents are defined as software entities that perform some set of tasks on behalf of users with some degree of autonomy. This research work deals about developing a automated data mining system which encompasses the familiar data mining algorithms using intelligent agents in object oriented databases and proposing a framework. Because the data mining system uses the intelligent agents, a new user will be able to interact with the data mining system without much data mining technical knowledge. This system will automatically select the appropriate data mining technique and select the necessary field needed from the database at the appropriate time without expecting the users to specify the specific technique and the parameters. Also a new framework is proposed for incorporating intelligent agents with automated data mining. One of the major goals in developing this system is to give the control to the computer for learning automatically by using intelligent agents.

Sensor Analysis for the Internet of Things

Author : Michael Stanley
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1681733269
Total Pages : 168 pages
Book Rating : 4.6/5 (817 download)

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Book Synopsis Sensor Analysis for the Internet of Things by : Michael Stanley

Download or read book Sensor Analysis for the Internet of Things written by Michael Stanley and published by Morgan & Claypool Publishers. This book was released on 2018-02-05 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: While it may be attractive to view sensors as simple transducers which convert physical quantities into electrical signals, the truth of the matter is more complex. The engineer should have a proper understanding of the physics involved in the conversion process, including interactions with other measurable quantities. A deep understanding of these interactions can be leveraged to apply sensor fusion techniques to minimize noise and/or extract additional information from sensor signals. Advances in microcontroller and MEMS manufacturing, along with improved internet connectivity, have enabled cost-effective wearable and Internet of Things sensor applications. At the same time, machine learning techniques have gone mainstream, so that those same applications can now be more intelligent than ever before. This book explores these topics in the context of a small set of sensor types. We provide some basic understanding of sensor operation for accelerometers, magnetometers, gyroscopes, and pressure sensors. We show how information from these can be fused to provide estimates of orientation. Then we explore the topics of machine learning and sensor data analytics.

Advanced Hybrid Information Processing

Author : Shuai Liu
Publisher : Springer Nature
ISBN 13 : 3030678717
Total Pages : 546 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Advanced Hybrid Information Processing by : Shuai Liu

Download or read book Advanced Hybrid Information Processing written by Shuai Liu and published by Springer Nature. This book was released on 2021-02-02 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set constitutes the post-conference proceedings of the 4th EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2020, held in Binzhou, China, in September 2020. Due to COVID-19 the conference was held virtually. The 89 papers presented were selected from 190 submissions and focus on theory and application of hybrid information processing technology for smarter and more effective research and application. The theme of ADHIP 2020 was “Industrial applications of aspects with big data”. The papers are named in topical sections as follows: Industrial application of multi-modal information processing; Industrialized big data processing; Industrial automation and intelligent control; Visual information processing.

Information Processing in Sensor Networks

Author : Feng Zhao
Publisher : Springer
ISBN 13 : 3540369783
Total Pages : 688 pages
Book Rating : 4.5/5 (43 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. This book was released on 2003-08-03 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the Proceedings of the 2nd International Workshop on Information Processing in Sensor Networks (IPSN 2003). The workshop was held at the Palo Alto Research Center (PARC), Palo Alto, California, on April 22–23, 2003. Informationprocessinginsensornetworksisaninterdisciplinaryresearcharea with deep connections to signal processing, networking and protocols, databases and information management, as well as distributed algorithms. Because of - vances in MEMS microsensors, wireless networking, and embedded processing, ad hoc networks of sensors are becoming increasingly available for commercial andmilitaryapplicationssuchasenvironmentalmonitoring(e.g.,tra?c,habitat, security), industrial sensing and diagnostics (e.g., factories, appliances), inf- structure maintenance (e.g., power grids, water distribution, waste disposal), and battle?eld awareness (e.g., multitarget tracking). From the engineering and computing point of view, sensor networks have become a rich source of problems in communication protocols, sensor tasking and control, sensor fusion, distributed databases and algorithms, probabilistic reasoning, system/software architecture, design methodologies, and evaluation metrics. This workshop took a systemic approach to address crosslayer issues, from the physical sensor layer to the sensor signal processing and networking levels and then all the way to the applications. Following the successful 1st Workshop on Collaborative Signal and Inf- mation Processing in Sensor Networks at PARC in 2001, this new workshop brought together researchers from academia, industry, and government to p- sent and discuss recent work concerning various aspects of sensor networks such as information organization, querying, routing, and self-organization, with an emphasis on the high-level information processing tasks that these networks are designed to perform.

Information Processing and Routing in Wireless Sensor Networks

Author : Yang Yu
Publisher : World Scientific
ISBN 13 : 9812772588
Total Pages : 202 pages
Book Rating : 4.8/5 (127 download)

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Book Synopsis Information Processing and Routing in Wireless Sensor Networks by : Yang Yu

Download or read book Information Processing and Routing in Wireless Sensor Networks written by Yang Yu and published by World Scientific. This book was released on 2006 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state-of-the-art cross-layer optimization techniques for energy-efficient information processing and routing in wireless sensor networks. Besides providing a survey on this important research area, three specific topics are discussed in detail OCo information processing in a collocated cluster, information transport over a tree substrate, and information routing for computationally intensive applications. The book covers several important system knobs for cross-layer optimization, including voltage scaling, rate adaptation, and tunable compression. By exploring tradeoffs of energy versus latency and computation versus communication using these knobs, significant energy conservation is achieved. Sample Chapter(s). Chapter 1: Introduction to Wireless Sensor Networks (421 KB). Contents: Introduction of Wireless Sensor Networks; Background; Energy Models; Information Processing within a Collocated Cluster; Information Transportation over a Tree Substrate; Information Routing with Tunable Compression. Readership: Researchers and graduate students in networking and electrical engineering."

Advanced Hybrid Information Processing

Author : Weina Fu
Publisher : Springer Nature
ISBN 13 : 3031287878
Total Pages : 806 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Advanced Hybrid Information Processing by : Weina Fu

Download or read book Advanced Hybrid Information Processing written by Weina Fu and published by Springer Nature. This book was released on 2023-03-21 with total page 806 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set constitutes the post-conference proceedings of the 6th EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2022, held in Changsha, China, in September 29-30, 2022. The 109 full papers presented were selected from 276 submissions and focus on theory and application of hybrid information processing technology for smarter and more effective research and application. The theme of ADHIP 2022 was Hybrid Information Processing in Meta World. The papers are named in topical sections as follows: Information Extracting and Processing in Digital World; Education Based methods in Learning and Teaching; Various Systems for Digital World.

Neural Information Processing and VLSI

Author : Bing J. Sheu
Publisher : Springer Science & Business Media
ISBN 13 : 1461522471
Total Pages : 569 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Neural Information Processing and VLSI by : Bing J. Sheu

Download or read book Neural Information Processing and VLSI written by Bing J. Sheu and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Information Processing and VLSI provides a unified treatment of this important subject for use in classrooms, industry, and research laboratories, in order to develop advanced artificial and biologically-inspired neural networks using compact analog and digital VLSI parallel processing techniques. Neural Information Processing and VLSI systematically presents various neural network paradigms, computing architectures, and the associated electronic/optical implementations using efficient VLSI design methodologies. Conventional digital machines cannot perform computationally-intensive tasks with satisfactory performance in such areas as intelligent perception, including visual and auditory signal processing, recognition, understanding, and logical reasoning (where the human being and even a small living animal can do a superb job). Recent research advances in artificial and biological neural networks have established an important foundation for high-performance information processing with more efficient use of computing resources. The secret lies in the design optimization at various levels of computing and communication of intelligent machines. Each neural network system consists of massively paralleled and distributed signal processors with every processor performing very simple operations, thus consuming little power. Large computational capabilities of these systems in the range of some hundred giga to several tera operations per second are derived from collectively parallel processing and efficient data routing, through well-structured interconnection networks. Deep-submicron very large-scale integration (VLSI) technologies can integrate tens of millions of transistors in a single silicon chip for complex signal processing and information manipulation. The book is suitable for those interested in efficient neurocomputing as well as those curious about neural network system applications. It has been especially prepared for use as a text for advanced undergraduate and first year graduate students, and is an excellent reference book for researchers and scientists working in the fields covered.

Wave Optics and Photonic Devices for Optical Information Processing II

Author : Pierre Ambs
Publisher : SPIE-International Society for Optical Engineering
ISBN 13 :
Total Pages : 258 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Wave Optics and Photonic Devices for Optical Information Processing II by : Pierre Ambs

Download or read book Wave Optics and Photonic Devices for Optical Information Processing II written by Pierre Ambs and published by SPIE-International Society for Optical Engineering. This book was released on 2003 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Signal and Image Processing for Remote Sensing, Second Edition

Author : C.H. Chen
Publisher : CRC Press
ISBN 13 : 143985596X
Total Pages : 623 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Signal and Image Processing for Remote Sensing, Second Edition by : C.H. Chen

Download or read book Signal and Image Processing for Remote Sensing, Second Edition written by C.H. Chen and published by CRC Press. This book was released on 2012-02-22 with total page 623 pages. Available in PDF, EPUB and Kindle. Book excerpt: Continuing in the footsteps of the pioneering first edition, Signal and Image Processing for Remote Sensing, Second Edition explores the most up-to-date signal and image processing methods for dealing with remote sensing problems. Although most data from satellites are in image form, signal processing can contribute significantly in extracting information from remotely sensed waveforms or time series data. This book combines both, providing a unique balance between the role of signal processing and image processing. Featuring contributions from worldwide experts, this book continues to emphasize mathematical approaches. Not limited to satellite data, it also considers signals and images from hydroacoustic, seismic, microwave, and other sensors. Chapters cover important topics in signal and image processing and discuss techniques for dealing with remote sensing problems. Each chapter offers an introduction to the topic before delving into research results, making the book accessible to a broad audience. This second edition reflects the considerable advances that have occurred in the field, with 23 of 27 chapters being new or entirely rewritten. Coverage includes new mathematical developments such as compressive sensing, empirical mode decomposition, and sparse representation, as well as new component analysis methods such as non-negative matrix and tensor factorization. The book also presents new experimental results on SAR and hyperspectral image processing. The emphasis is on mathematical techniques that will far outlast the rapidly changing sensor, software, and hardware technologies. Written for industrial and academic researchers and graduate students alike, this book helps readers connect the "dots" in image and signal processing. New in This Edition The second edition includes four chapters from the first edition, plus 23 new or entirely rewritten chapters, and 190 new figures. New topics covered include: Compressive sensing The mixed pixel problem with hyperspectral images Hyperspectral image (HSI) target detection and classification based on sparse representation An ISAR technique for refocusing moving targets in SAR images Empirical mode decomposition for signal processing Feature extraction for classification of remote sensing signals and images Active learning methods in classification of remote sensing images Signal subspace identification of hyperspectral data Wavelet-based multi/hyperspectral image restoration and fusion The second edition is not intended to replace the first edition entirely and readers are encouraged to read both editions of the book for a more complete picture of signal and image processing in remote sensing. See Signal and Image Processing for Remote Sensing (CRC Press 2006).

Signal and Information Processing, Networking and Computers

Author : Yue Wang
Publisher : Springer Nature
ISBN 13 : 9811541639
Total Pages : 934 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Signal and Information Processing, Networking and Computers by : Yue Wang

Download or read book Signal and Information Processing, Networking and Computers written by Yue Wang and published by Springer Nature. This book was released on 2020-04-04 with total page 934 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects selected papers from the 6th Conference on Signal and Information Processing, Networking and Computers, held in Guiyang, China, on August 13 - 16, 2019. Focusing on the latest advances in information theory, communication systems, computer science, aerospace technologies, big data and other related technologies, it offers a valuable resource for researchers and industrial practitioners alike.