Download or read book Intelligent Sensor Networks written by Fei Hu and published by CRC Press. This book was released on 2012-12-15 with total page 675 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last decade, wireless or wired sensor networks have attracted much attention. However, most designs target general sensor network issues including protocol stack (routing, MAC, etc.) and security issues. This book focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on their world-class research, the authors present the fundamentals of intelligent sensor networks. They cover sensing and sampling, distributed signal processing, and intelligent signal learning. In addition, they present cutting-edge research results from leading experts.

Download or read book Intelligent Data Sensing and Processing for Health and Well being Applications written by Miguel Antonio Wister Ovando and published by Academic Press. This book was released on 2018-07-26 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Data Sensing and Processing for Health and Well-being Applications uniquely combines full exploration of the latest technologies for sensor-collected intelligence with detailed coverage of real-case applications for healthcare and well-being at home and in the workplace. Forward-thinking in its approach, the book presents concepts and technologies needed for the implementation of today's mobile, pervasive and ubiquitous systems, and for tomorrow's IoT and cyber-physical systems. Users will find a detailed overview of the fundamental concepts of gathering, processing and analyzing data from devices disseminated in the environment, as well as the latest proposals for collecting, processing and abstraction of data-sets. In addition, the book addresses algorithms, methods and technologies for diagnosis and informed decision-making for healthcare and well-being. Topics include emotional interface with ambient intelligence and emerging applications in detection and diagnosis of neurological diseases. Finally, the book explores the trends and challenges in an array of areas, such as applications for intelligent monitoring in the workplace for well-being, acquiring data traffic in cities to improve the assistance of first aiders, and applications for supporting the elderly at home. - Examines the latest applications and future directions for mobile data sensing in an array of health and well-being scenarios - Combines leading computing paradigms and technologies, development applications, empirical studies, and future trends in the multidisciplinary field of smart sensors, smart sensor networks, data analysis and machine intelligence methods - Features an analysis of security, privacy and ethical issues in smart sensor health and well-being applications - Equips readers interested in interdisciplinary projects in ubiquitous computing or pervasive computing and ambient intelligence with the latest trends and developments

Download or read book Smart Sensors and MEMS written by S Nihtianov and published by Woodhead Publishing. This book was released on 2018-02-27 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart Sensors and MEMS: Intelligent Devices and Microsystems for Industrial Applications, Second Edition highlights new, important developments in the field, including the latest on magnetic sensors, temperature sensors and microreaction chambers. The book outlines the industrial applications for smart sensors, covering direct interface circuits for sensors, capacitive sensors for displacement measurement in the sub-nanometer range, integrated inductive displacement sensors for harsh industrial environments, advanced silicon radiation detectors in the vacuum ultraviolet (VUV) and extreme ultraviolet (EUV) spectral range, among other topics. New sections include discussions on magnetic and temperature sensors and the industrial applications of smart micro-electro-mechanical systems (MEMS). The book is an invaluable reference for academics, materials scientists and electrical engineers working in the microelectronics, sensors and micromechanics industry. In addition, engineers looking for industrial sensing, monitoring and automation solutions will find this a comprehensive source of information. - Contains new chapters that address key applications, such as magnetic sensors, microreaction chambers and temperature sensors - Provides an in-depth information on a wide array of industrial applications for smart sensors and smart MEMS - Presents the only book to discuss both smart sensors and MEMS for industrial applications

Download or read book Intelligent Technologies for Sensors written by S. Kannadhasan and published by CRC Press. This book was released on 2023-06-23 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sensor devices that are flexible and printable have received a lot of interest in recent years. New techniques such as printing and additive manufacturing are being developed to realize a wide range of readily deployable systems such as displays, sensors, and RFID tags. This informative book provides an overview of the smart real-time application of sensors in a variety of intelligent systems and machines. It looks at their diverse applications and uses, their design and architecture, and optimization technologies. Bringing together leading academics, architects, and scientists from across the globe who are experts in this area, the volume looks at new research on sensors in several fields, such as health care, education, smart home technology, security, agriculture, transportation systems, and others.

Download or read book Intelligent Sensing Instrumentation and Measurements written by Subhas Chandra Mukhopadhyay and published by Springer Science & Business Media. This book was released on 2013-03-21 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Intelligent Sensing, Instrumentation and Measurements” addresses issues towards the development of sensor nodes for wireless Sensor Networks. The fundamentals of sensors, interfacing, power supplies, configuration of sensor node, and GUI development are covered. The book will be useful for engineers and researchers in the field ,especially for higher undergraduate and postgraduate students as well as practitioners working on the development of Wireless Sensor Networks or Smart Sensors.

Download or read book Intelligent Sensor Design Using the Microchip dsPIC written by Creed Huddleston and published by Elsevier. This book was released on 2006-12-18 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent seonsors are revolutionizing the world of system design in everything from sports cars to assembly lines. These new sensors have abilities that leave their predecessors in the dust! They not only measure parameters efficiently and precisely, but they also have the ability to enhance and interupt those measurements, thereby transforming raw data into truly useful information.Unlike many embedded systems books that confine themselves strictly to firmware and software, this book also delves into the supporting electronic hardware, providing the reader with a complete understanding of the issues involved when interfacing to specific types of sensor and offering insight into the real-world problems designers will face. The examples provide a complete, easily extensible code framework for sensor-based applications as well as basic support routines that are often ignored or treated superficially. The goal throughout is to make readers truly productive as quickly as possible while providing the thorough understanding necessary to design robust systems.Readers will gain in-depth, real-world design information that will help them be more productive and get up to speed on sensor design skills more quickly. The book provides designers and students a leg up in a relatively new design area, imparting knowledge about a new microcontroller that offers some of the functionality of a DSP chip. - Quickly teaches the reader to design the new wave in sensor technology, "intelligent" sensors - In-depth design techniques, real-world examples, detailed figures and usable code - Application chapters thoroughly exploring temperature, pressure and load, and flow sensors

Download or read book Smart Grid Sensors written by Hamed Mohsenian-Rad and published by . This book was released on 2022-04-06 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the ever-growing field of smart grid sensors, covering traditional and state-of-the-art sensor technologies, as well as data-driven and intelligent methods for using sensor measurements in support of innovative smart grid applications. Covers recent and emerging topics, such as smart meters, synchronized phasor measurements, and synchronized waveform measurements. Additional advanced topics and future trends are also discussed, such as situational awareness, probing, and working with off-domain measurements. Including real-world examples, exercise questions, and sample data sets, this is an essential text for students, researchers, and scientists, as well as field engineers and practitioners in the areas of smart grid and power systems.

Download or read book Smart Sensors and Systems written by Youn-Long Lin and published by Springer. This book was released on 2015-07-13 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes for readers technology used for effective sensing of our physical world and intelligent processing techniques for sensed information, which are essential to the success of the Internet of Things (IoTs). The authors provide a multidisciplinary view of sensor technology from MEMS, biological, chemical, and electrical domains and showcase smart sensor systems in real applications including smart home, transportation, medical, environmental, agricultural, etc. Unlike earlier books on sensors, this book provides a “global” view on smart sensors covering abstraction levels from device, circuit, systems, and algorithms.

Download or read book Signal Processing for Intelligent Sensor Systems with MATLAB written by David C. Swanson and published by CRC Press. This book was released on 2011-07-21 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signal Processing for Intelligent Sensors with MATLAB®, Second Edition once again presents the key topics and salient information required for sensor design and application. Organized to make it accessible to engineers in school as well as those practicing in the field, this reference explores a broad array of subjects and is divided into sections: Fundamentals of Digital Signal Processing, Frequency Domain Processing, Adaptive System Identification and Filtering, Wavenumber Sensor Systems, and Signal Processing Applications. Taking an informal, application-based approach and using a tone that is more engineer-to-engineer than professor-to-student, this revamped second edition enhances many of the features that made the original so popular. This includes retention of key algorithms and development methodologies and applications, which are creatively grouped in a way that differs from most comparable texts, to optimize their use. New for the Second Edition: Inclusion of more solved problems Web access to a large collection of MATLAB® scripts used to support data graphs presented throughout the book Additional coverage of more audio engineering, transducers, and sensor networking technology A new chapter on Digital Audio processing reflects a growing interest in digital surround sound (5.1 audio) techniques for entertainment, home theaters, and virtual reality systems New sections on sensor networking, use of meta-data architectures using XML, and agent-based automated data mining and control Serving dual roles as both a learning resource and a field reference on sensor system networks, this book progressively reveals digestible nuggets of critical information to help readers quickly master presented algorithms and adapt them to meet their requirements. It illustrates the current trend toward agile development of web services for wide area sensor networking and intelligent processing in the sensor system networks that are employed in homeland security, business, and environmental and demographic information systems.

Download or read book Smart Sensors Networks written by Fatos Xhafa and published by Academic Press. This book was released on 2017-06-14 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart Sensors Networks: Communication Technologies and Intelligent Applications explores the latest sensor and sensor networks techniques and applications, showing how networked wireless sensors are used to monitor and gather intelligence from our surrounding environment. It provides a systematic look at the unique characteristics of wireless sensor networks through their usage in a broad range of areas, including healthcare for the elderly, energy consumption, industrial automation, intelligent transportation systems, smart homes and cities, and more. The book shows how sensor-networks work and how they are applied to monitor our surrounding environment. It explores the most important aspects of modern sensors technologies, providing insights on the newest technologies and the systems needed to operate them. Readers will find the book to be an entry point for understanding the fundamental differences between the various sensor technologies and their use in for different scenarios. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS - Presents numerous specific use-cases throughout, showing practical applications of concepts - Contains contributions from leading experts around the globe - Collects, in one place, the latest thinking on an emerging topic - Addresses the security and privacy issues inherent in sensor deployment

Download or read book Intelligent Sensors for Positioning Tracking Monitoring Navigation and Smart Sensing in Smart Cities written by Tiancheng Li and published by MDPI. This book was released on 2021-03-04 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid development of advanced, arguably, intelligent sensors and their massive deployment provide a foundation for new paradigms to combat the challenges that arise in significant tasks such as positioning, tracking, navigation, and smart sensing in various environments. Relevant advances in artificial intelligence (AI) and machine learning (ML) are also finding rapid adoption by industry and fan the fire. Consequently, research on intelligent sensing systems and technologies has attracted considerable attention during the past decade, leading to a variety of effective applications related to intelligent transportation, autonomous vehicles, wearable computing, wireless sensor networks (WSN), and the internet of things (IoT). In particular, the sensors community has a great interest in novel, intelligent information fusion, and data mining methods coupling AI and ML for substantial performance enhancement, especially for the challenging scenarios that make traditional approaches inappropriate. This reprint book has collected 14 excellent papers that represent state-of-the-art achievements in the relevant topics and provides cutting-edge coverage of recent advances in sensor signal and data mining techniques, algorithms, and approaches, particularly applied for positioning, tracking, navigation, and smart sensing.

Download or read book Smart Sensors for Real Time Water Quality Monitoring written by Subhas C Mukhopadhyay and published by Springer Science & Business Media. This book was released on 2013-03-17 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sensors are being utilized to increasing degrees in all forms of industry. Researchers and industrial practitioners in all fields seek to obtain a better understanding of appropriate processes so as to improve quality of service and efficiency. The quality of water is no exception, and the water industry is faced with a wide array of water quality issues being present world-wide. Thus, the need for sensors to tackle this diverse subject is paramount. The aim of this book is to combine, for the first time, international expertise in the area of water quality monitoring using smart sensors and systems in order that a better understanding of the challenges faced and solutions posed may be available to all in a single text.

Download or read book Intelligent Sensors written by H. Yamasaki and published by Elsevier. This book was released on 1996-04-22 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sensors are the front end devices for information acquisition from the natural and/or artificial world. Higher performance of advanced sensing systems is achieved by using various types of machine intelligence. Intelligent sensors are smart devices with signal processing functions shared by distributed machine intelligence.Typical examples of intelligent sensors are the receptors and dedicated signal processing systems of the human sensory systems. The most important job of information processing in the sensory system is to extract necessary information from the receptors signals and transmit the useful information to the brain. This dedicated information processing is carried out in a distributed manner to reduce the work load of the brain. The processing also lightens the load of signal transmission through the neural network, the capacity of which is limited.Although the performance of the receptors in our human sensory system is not always ideal and is frequently inferior to that of man-made sensors, the total performance is usually far superior to those of our technical sensing systems. The weak points of human receptors are masked by the information processing. This processing makes our sensory system adaptable to the environment and optimizes system performance.The basic idea of this book, which contains new computing paradigms, is that the most advanced intelligent sensing system is the human sensory system. Section I reviews the technologies of intelligent sensors and discusses how they developed. Typical approaches for the realization of intelligent sensors emphasizing the architecture of intelligent sensing systems are also described. In section II, fundamental technologies for the fabrication of intelligent sensors and actuators are presented. Integration and micro-miniaturization techniques are emphasized. Section III presents advanced technologies approaching human sensory systems, these technologies are not directly aimed at practical applications, but introduce the readers to the development of engineering models of sensory systems. Technologies of integrated intelligent sensors, which will shortly be in use are introduced in section IV. In section V, examples are given of intelligent sensing systems which are used in industrial installations. Hardware for machine intelligence is not integrated at present, but can soon be implemented in the monolithic integrated structure. Without this machine intelligence, new functions, for example, self diagnosis or defects identification, cannot be realized. This section also demonstrates the potential of intelligent sensors in industry. Section VI introduces two interesting topics which are closely related to intelligent sensing systems. The first one is multisensor fusion. It is expected to be one of the fundamental and powerful technologies for realizing an advanced intelligent sensing systems. The second is visualizing technology of the sensed states for easy comprehension of the dynamic multi-dimensional state. This is useful for intelligent man-machine interfaces.This book will be recognised by readers as a milestone in the rapid progress of intelligent sensors.

Download or read book Smart Agricultural Services Using Deep Learning Big Data and IoT written by Gupta, Amit Kumar and published by IGI Global. This book was released on 2020-10-30 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: The agricultural sector can benefit immensely from developments in the field of smart farming. However, this research area focuses on providing specific fixes to particular situations and falls short on implementing data-driven frameworks that provide large-scale benefits to the industry as a whole. Using deep learning can bring immense data and improve our understanding of various earth sciences and improve farm services to yield better crop production and profit. Smart Agricultural Services Using Deep Learning, Big Data, and IoT is an essential publication that focuses on the application of deep learning to agriculture. While highlighting a broad range of topics including crop models, cybersecurity, and sustainable agriculture, this book is ideally designed for engineers, programmers, software developers, agriculturalists, farmers, policymakers, researchers, academicians, and students.

Download or read book High Accuracy CMOS Smart Temperature Sensors written by Anton Bakker and published by Springer Science & Business Media. This book was released on 2000-11-30 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the design and theory of high-accuracy smart temperature sensors in CMOS technology. The book's major triumph is the realization of a smart temperature sensor of such high accuracy that it can be applied without any form of calibration. In addition, the authors provide the reader with an elaborate overview of dynamic offset-cancellation techniques and CMOS bandgap references, which are the basic techniques and building blocks that determine the overall accuracy of CMOS smart temperature sensors. The book's concluding chapters focus on realizations where other aspects like ultra low-design and remote temperature sensing are discussed. High-Accuracy CMOS Smart Temperature Sensors is essential reading for anybody with an academic or professional interest in semiconductor design.

Download or read book A Beginner s Guide to Data Agglomeration and Intelligent Sensing written by Amartya Mukherjee and published by Academic Press. This book was released on 2020-02-19 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Beginners Guide to Data Agglomeration and Intelligent Sensing provides an overview of the Sensor Cloud Platform, Converge-casting, and Data Aggregation in support of intelligent sensing and relaying of information. The book begins with a brief introduction on sensors and transducers, giving readers insight into the various types of sensors and how one can work with them. In addition, it gives several real-life examples to help readers properly understand concepts. An overview of concepts such as wireless sensor networks, cloud platforms, and device-to-cloud and sensor cloud architecture are explained briefly, as is data gathering in wireless sensor networks and aggregation procedures. Final sections explore how to process gathered data and relay the data in an intelligent way, including concepts such as supervised and unsupervised learning, software defined networks, sensor data mining and smart systems. - Presents the latest advances in data agglomeration for intelligent sensing - Discusses the basic concepts of sensors, real-life applications of sensors and systems, the protocols and applications of wireless sensor networks, the methodology of sensor data accumulation, and real-life applications of Intelligent Sensor Networks - Provides readers with an easy-to-learn and understand introduction to the concepts of the cloud platform, Sensor Cloud and Machine Learning

Download or read book A Beginner s Guide to Data Agglomeration and Intelligent Sensing written by Amartya Mukherjee and published by Academic Press. This book was released on 2020-02-24 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Beginners Guide to Data Agglomeration and Intelligent Sensing provides an overview of the Sensor Cloud Platform, Converge-casting, and Data Aggregation in support of intelligent sensing and relaying of information. The book begins with a brief introduction on sensors and transducers, giving readers insight into the various types of sensors and how one can work with them. In addition, it gives several real-life examples to help readers properly understand concepts. An overview of concepts such as wireless sensor networks, cloud platforms, and device-to-cloud and sensor cloud architecture are explained briefly, as is data gathering in wireless sensor networks and aggregation procedures. Final sections explore how to process gathered data and relay the data in an intelligent way, including concepts such as supervised and unsupervised learning, software defined networks, sensor data mining and smart systems.