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Sensing Machines: How Sensors Shape Our Everyday Life
by Chris SalterHow we are tracked, surveilled, tantalized, and seduced by machines ranging from smart watches and Roombas to immersive art installations.Sensing machines are everywhere in our world. As we move through the day, electronic sensors and computers adjust our thermostats, guide our Roombas, count our steps, change the orientation of an image when we rotate our phones. There are more of these electronic devices in the world than there are people—in 2020, thirty to fifty billion of them (versus 7.8 billion people), with more than a trillion expected in the next decade. In Sensing Machines, Chris Salter examines how we are tracked, surveilled, tantalized, and seduced by machines ranging from smart watches and mood trackers to massive immersive art installations. Salter, an artist/scholar who has worked with sensors and computers for more than twenty years, explains that the quantification of bodies, senses, and experience did not begin with the surveillance capitalism practiced by Facebook, Amazon, Netflix, and Google but can be traced back to mathematical and statistical techniques of the nineteenth century. He describes the emergence of the &“sensed self,&” investigating how sensor technology has been deployed in music and gaming, programmable and immersive art environments, driving, and even eating, with e-tongues and e-noses that can taste and smell for us. Sensing technology turns our experience into data; but Salter&’s story isn&’t just about what these machines want from us, but what we want from them—new sensations, the thrill of the uncanny, and magic that will transport us from our daily grind.
Sensing, Modeling and Optimization of Cardiac Systems: A New Generation of Digital Twin for Heart Health Informatics (SpringerBriefs in Service Science)
by Hui Yang Bing YaoThis book reviews the development of physics-based modeling and sensor-based data fusion for optimizing medical decision making in connection with spatiotemporal cardiovascular disease processes. To improve cardiac care services and patients’ quality of life, it is very important to detect heart diseases early and optimize medical decision making. This book introduces recent research advances in machine learning, physics-based modeling, and simulation optimization to fully exploit medical data and promote the data-driven and simulation-guided diagnosis and treatment of heart disease. Specifically, it focuses on three major topics: computer modeling of cardiovascular systems, physiological signal processing for disease diagnostics and prognostics, and simulation optimization in medical decision making. It provides a comprehensive overview of recent advances in personalized cardiac modeling by integrating physics-based knowledge of the cardiovascular system with machine learning and multi-source medical data. It also discusses the state-of-the-art in electrocardiogram (ECG) signal processing for the identification of disease-altered cardiac dynamics. Lastly, it introduces readers to the early steps of optimal decision making based on the integration of sensor-based learning and simulation optimization in the context of cardiac surgeries. This book will be of interest to researchers and scholars in the fields of biomedical engineering, systems engineering and operations research, as well as professionals working in the medical sciences.
Sensing of Non-Volatile Memory Demystified
by Swaroop GhoshThis book introduces readers to the latest advances in sensing technology for a broad range of non-volatile memories (NVMs). Challenges across the memory technologies are highlighted and their solutions in mature technology are discussed, enabling innovation of sensing technologies for future NVMs. Coverage includes sensing techniques ranging from well-established NVMs such as hard disk, flash, Magnetic RAM (MRAM) to emerging NVMs such as ReRAM, STTRAM, FeRAM and Domain Wall Memory will be covered.
Sensing Sound: Evolutionary Neurobiology of a Novel Sense of Hearing
by Bernd FritzschHearing is a prerequisite for the evolution of language and thus the development of human societies. It is the only major sense whose evolution can be traced back to vertebrates, starting with sarcopterygians. The book explores the evolution of auditory development that has remained largely unexplored in contemporary theories of neurosensory brain evolution, including the telencephalon. It describes how sensory epithelia from the basilar papilla evolved in the ear and connected dedicated cochlear neurons to neuronal centers in the brain, and deals with how sound is converted through sound modulations into reliably decoded messages. The loss of hearing with age is expected to reach 2.6 billion people by 2050. As such, the book explains and reviews hearing loss at the molecular level to the behavioral level, and provides suggestions to manage the loss.
Sensing Technologies for Field and In-House Crop Production: Technology Review and Case Studies (Smart Agriculture #7)
by Man Zhang Han Li Wenyi Sheng Ruicheng Qiu Zhao ZhangThis book focuses on state-of-the-art sensing and automation technologies for field crops and in-house product production and provides a lot of innovative knowledge on image processing, AI algorithms and applications in agriculture, and robotics. This book provides undergraduate or graduate students with take-away knowledge for unmanned agricultural production, including but not limited to corn disease detection, wheat head detection and counting, and soil nutrient condition monitoring. The first three chapters focus on reviewing plant phenotyping sensing technology and robotics and soil nutrient monitoring, followed by in-house crop sensing robotics. Then two case studies on corn and the other two case studies on wheat are presented.
Sensing Technologies For Precision Irrigation
by Dejan Vukobratovic Marta Alonso Fernandez Vladan Minic Dubravko Ćulibrk Vladimir Crnojevic Javier Alvarez OsunaThis brief provides an overview of state-of-the-art sensing technologies relevant to the problem of precision irrigation, an emerging field within the domain of precision agriculture. Applications of wireless sensor networks, satellite data and geographic information systems in the domain are covered. This brief presents the basic concepts of the technologies and emphasizes the practical aspects that enable the implementation of intelligent irrigation systems. The authors target a broad audience interested in this theme and organize the content in five chapters, each concerned with a specific technology needed to address the problem of optimal crop irrigation. Professionals and researchers will find the text a thorough survey with practical applications.
Sensing Technologies for Real Time Monitoring of Water Quality (IEEE Press Series on Sensors)
by Libu Manjakkal Leandro Lorenzelli Magnus WillanderSensing Technologies for Real Time Monitoring of Water Quality A comprehensive guide to the development and application of smart sensing technologies for water quality monitoring With contributions from a panel of experts on the topic, Sensing Technologies for Real Time Monitoring of Water Quality offers an authoritative resource that explores a complete set of sensing technologies designed to monitor, in real-time, water quality including agriculture. The contributing authors explore the fundamentals of sensing technologies and review the most recent advances of various materials and sensors for water quality??monitoring. This comprehensive resource includes information on a range of designs of smart electronics, communication systems, packaging, and innovative implementation approaches used for remote monitoring of water quality in various atmospheres. The book explores a variety of techniques for online water quality monitoring including internet of Things (IoT), communication systems, and advanced sensor deployment methods. This important book: Puts the spotlight on the potential capabilities and the limitations of various sensing technologies and wireless systems Offers an evaluation of a variety of sensing materials, substrates, and designs of sensors Describes sensor implementation in agriculture and extreme environments Includes information on the common characteristics, ideas, and approaches of water quality and quantity management Written for students and practitioners/researchers in water quality management, Sensing Technologies for Real Time Monitoring of Water Quality offers, in one volume, a guide to the real time sensing techniques that can improve water quality and its management.
Sensing Technology: Current Status and Future Trends II
by Nabarun Bhattacharyya Krishanthi Padmarani Jayasundera Subhas Chandra Mukhopadhyay Alex MasonThis book is written for academic and industry professionals working in the field of sensing, instrumentation and related fields, and is positioned to give a snapshot of the current state of the art in sensing technology, particularly from the applied perspective. The book is intended to give broad overview of the latest developments, in addition to discussing the process through which researchers go through in order to develop sensors, or related systems, which will become more widespread in the future.
Sensing Technology: Proceedings of ICST'15 (Lecture Notes in Electrical Engineering #1035)
by Nagender Kumar Suryadevara Boby George Krishanthi P. Jayasundera Subhas Chandra MukhopadhyayThis book gathers the latest advances, innovations, and applications in the field of sensing technology, as presented by international researchers and engineers at the 15th International Conference on Sensing Technology (ICST), held in Sydney, Australia on December 5–7, 2022. Contributions include a wide range of topics such as: vision sensing, sensor signal processing, sensors phenomena and modelling, sensor characterization, smart sensors and sensor fusion, electromagnetic, chemical and physical sensors, electronic nose technology, biosensors, nano sensors, wireless sensors and WSN, Internet of Things, optical sensors, sensor arrays, intelligent sensing, Internet-based and remote data acquisition. The contributions, which were selected by means of a rigorous international peer-review process, present a wealth of exciting ideas that will open novel research directions and foster multidisciplinary collaboration among different specialists.
Sensing Technology: Proceedings of ICST 2022 (Lecture Notes in Electrical Engineering #886)
by Nagender Kumar Suryadevara Boby George Krishanthi P. Jayasundera Joyanta Kumar Roy Subhas Chandra MukhopadhyayThis book gathers the latest advances, innovations, and applications in the field of sensing technology, as presented by international researchers and engineers at the 14th International Conference on Sensing Technology (ICST), held in Chennai, India on January 17-19, 2022. Contributions include a wide range of topics such as: vision sensing, sensor signal processing, sensors phenomena and modelling, sensor characterization, smart sensors and sensor fusion, electromagnetic, chemical and physical sensors, electronic nose technology, biosensors, nano sensors, wireless sensors and WSN, Internet of Things, optical sensors, sensor arrays, intelligent sensing, Internet-based and remote data acquisition. The contributions, which were selected by means of a rigorous international peer-review process, present a wealth of exciting ideas that will open novel research directions and foster multidisciplinary collaboration among different specialists.
Sensing the Perfect Tomato: An Internet of Things Approach
by Denise WilsonTomatoes are an important crop for their economic value and nutritional benefits. Optimizing yields for tomato crops requires careful attention to how and when to harvest both in the context of time-to-market and end use. The Internet of Things (IOT), when using distributed and networked sensors, has shown tremendous potential to support precision agriculture, providing a finer resolution, more detailed picture of crops that was not previously possible using conventional crop monitoring techniques. This book marries the potential of the Internet of Sensors to the needs of tomato farming, in ways that are economically fruitful, technologically robust, and environmentally sustainable.
Sensing Vehicle Conditions for Detecting Driving Behaviors (Springerbriefs In Electrical And Computer Engineering)
by Jiadi Yu Yingying Chen Xiangyu XuThis SpringerBrief begins by introducing the concept of smartphone sensing and summarizing the main tasks of applying smartphone sensing in vehicles. Chapter 2 describes the vehicle dynamics sensing model that exploits the raw data of motion sensors (i.e., accelerometer and gyroscope) to give the dynamic of vehicles, including stopping, turning, changing lanes, driving on uneven road, etc. Chapter 3 detects the abnormal driving behaviors based on sensing vehicle dynamics. Specifically, this brief proposes a machine learning-based fine-grained abnormal driving behavior detection and identification system, D3, to perform real-time high-accurate abnormal driving behaviors monitoring using the built-in motion sensors in smartphones.As more vehicles taking part in the transportation system in recent years, driving or taking vehicles have become an inseparable part of our daily life. However, increasing vehicles on the roads bring more traffic issues including crashes and congestions, which make it necessary to sense vehicle dynamics and detect driving behaviors for drivers. For example, sensing lane information of vehicles in real time can be assisted with the navigators to avoid unnecessary detours, and acquiring instant vehicle speed is desirable to many important vehicular applications. Moreover, if the driving behaviors of drivers, like inattentive and drunk driver, can be detected and warned in time, a large part of traffic accidents can be prevented. However, for sensing vehicle dynamics and detecting driving behaviors, traditional approaches are grounded on the built-in infrastructure in vehicles such as infrared sensors and radars, or additional hardware like EEG devices and alcohol sensors, which involves high cost. The authors illustrate that smartphone sensing technology, which involves sensors embedded in smartphones (including the accelerometer, gyroscope, speaker, microphone, etc.), can be applied in sensing vehicle dynamics and driving behaviors. Chapter 4 exploits the feasibility to recognize abnormal driving events of drivers at early stage. Specifically, the authors develop an Early Recognition system, ER, which recognize inattentive driving events at an early stage and alert drivers timely leveraging built-in audio devices on smartphones. An overview of the state-of-the-art research is presented in chapter 5. Finally, the conclusions and future directions are provided in Chapter 6.
Sensitive Matter
by Michel MitovLife would not exist without sensitive, or soft, matter. All biological structures depend on it, including red blood globules, lung fluid, and membranes. So do industrial emulsions, gels, plastics, liquid crystals, and granular materials. What makes sensitive matter so fascinating is its inherent versatility. Shape-shifting at the slightest provocation, whether a change in composition or environment, it leads a fugitive existence. Physicist Michel Mitov brings drama to molecular gastronomy (as when two irreconcilable materials are mixed to achieve the miracle of mayonnaise) and offers answers to everyday questions, such as how does paint dry on canvas, why does shampoo foam better when you âeoerepeat,âe#157; and what allows for the controlled release of drugs? Along the way we meet a futurist cook, a scientist with a runaway imagination, and a penniless inventor named Goodyear who added sulfur to latex, quite possibly by accident, and created durable rubber. As Mitov demonstrates, even religious ritual is a lesson in the surprising science of sensitive matter. Thrice yearly, the reliquary of St. Januarius is carried down cobblestone streets from the Cathedral to the Church of St. Clare in Naples. If all goes as hopedâe"and since 1389 it often hasâe"the dried blood contained in the reliquaryâe(tm)s largest vial liquefies on reaching its destination, and Neapolitans are given a reaffirming symbol of renewal.
Sensitivity Analysis for Neural Networks
by Wing W. Ng Daming Shi Ian Cloete Daniel S. YeungArtificial neural networks are used to model systems that receive inputs and produce outputs. The relationships between the inputs and outputs and the representation parameters are critical issues in the design of related engineering systems, and sensitivity analysis concerns methods for analyzing these relationships. Perturbations of neural networks are caused by machine imprecision, and they can be simulated by embedding disturbances in the original inputs or connection weights, allowing us to study the characteristics of a function under small perturbations of its parameters. This is the first book to present a systematic description of sensitivity analysis methods for artificial neural networks. It covers sensitivity analysis of multilayer perceptron neural networks and radial basis function neural networks, two widely used models in the machine learning field. The authors examine the applications of such analysis in tasks such as feature selection, sample reduction, and network optimization. The book will be useful for engineers applying neural network sensitivity analysis to solve practical problems, and for researchers interested in foundational problems in neural networks.
Sensitivity Analysis in Remote Sensing
by Eugene A. UstinovThis book contains a detailed presentation of general principles of sensitivity analysis as well as their applications to sample cases of remote sensing experiments. An emphasis is made on applications of adjoint problems, because they are more efficient in many practical cases, although their formulation may seem counterintuitive to a beginner. Special attention is paid to forward problems based on higher-order partial differential equations, where a novel matrix operator approach to formulation of corresponding adjoint problems is presented. Sensitivity analysis (SA) serves for quantitative models of physical objects the same purpose, as differential calculus does for functions. SA provides derivatives of model output parameters (observables) with respect to input parameters. In remote sensing SA provides computer-efficient means to compute the jacobians, matrices of partial derivatives of observables with respect to the geophysical parameters of interest. The jacobians are used to solve corresponding inverse problems of remote sensing. They also play an important role already while designing the remote sensing experiment, where they are used to estimate the retrieval uncertainties of the geophysical parameters with given measurement errors of the instrument, thus providing means for formulations of corresponding requirements to the specific remote sensing instrument. If the quantitative models of geophysical objects can be formulated in an analytic form, then sensitivity analysis is reduced to differential calculus. But in most cases, the practical geophysical models used in remote sensing are based on numerical solutions of forward problems - differential equations with initial and/or boundary conditions. As a result, these models cannot be formulated in an analytic form and this is where the methods of SA become indispensable. This book is intended for a wide audience. The beginners in remote sensing could use it as a single source, covering key issues of SA, from general principles, through formulation of corresponding linearized and adjoint problems, to practical applications to uncertainty analysis and inverse problems in remote sensing. The experts, already active in the field, may find useful the alternative formulations of some key issues of SA, for example, use of individual observables, instead of a widespread use of the cumulative cost function. The book also contains an overview of author's matrix operator approach to formulation of adjoint problems for forward problems based on the higher-order partial differential equations. This approach still awaits its publication in the periodic literature and thus may be of interest to readership across all levels of expertise.
Sensitivity of Automatic Control Systems (Control Series #2)
by Efim Rozenwasser Rafael YusupovAlthough it arose much earlier in a variety of contexts, sensitivity theory became an independent branch of science in the sixties. Since then, researchers from around the world have continued to make great strides in both the theory and its applications. However, much of the work of Russian scientific schools and specialists remain unknown in the West.Sensitivity of Control Systems summarizes the results of the authors and their disciples in sensitivity theory, addressing the basic notions of the theory and the problem of selecting technical parameters of systems. The authors formulate problems for actual technical systems and their models, and establish relations between sensitivity theory and classical stability problems. They offer a significant, general theory for investigating the sensitivity of boundary problems and use elements of this theory for sensitivity analysis of solutions to nonlinear programming and variational calculus problems, as well as oscillatory processes. The book also presents general investigation methods for discontinuous systems, including those described by operator models.Full of powerful new methods and results, this book offers a unique opportunity for those in theoretical investigation and in the design, testing, and exploitation of various control systems to explore the work of Russia's leading researchers in sensitivity theory. Furthermore, its techniques for parametric perturbation investigation, Sensitivity of Control Systems will prove useful in fields outside of control theory, including oscillation theory, motion dynamics, and mathematical economy.
Sensor and Ad-Hoc Networks
by Xiang-Yang Li Kia Makki S. Kami Makki Niki Pissinou Masoumeh Karimi Shamila MakkiThis book brings together leading researchers and developers in the field of wireless sensor networks to explain the special problems and challenges of the algorithmic aspects of sensor and ad-hoc networks. The book also fosters communication not only between the different sensor and ad-hoc communities, but also between those communities and the distributed systems and information systems communities. The topics addressed pertain to the sensors and mobile environment.
Sensor- and Video-Based Activity and Behavior Computing: Proceedings of 3rd International Conference on Activity and Behavior Computing (ABC 2021) (Smart Innovation, Systems and Technologies #291)
by Md Atiqur Rahman Ahad Sozo Inoue Daniel Roggen Kaori FujinamiThis book presents the best-selected research papers presented at the 3rd International Conference on Activity and Behavior Computing (ABC 2021), during 20–22 October 2021. The book includes works related to the field of vision- and sensor-based human action or activity and behavior analysis and recognition. It covers human activity recognition (HAR), action understanding, gait analysis, gesture recognition, behavior analysis, emotion, and affective computing, and related areas. The book addresses various challenges and aspects of human activity recognition—both in sensor-based and vision-based domains. It can be considered as an excellent treasury related to the human activity and behavior computing.
Sensor Circuits and Switching for Stringed Instruments: Humbucking Pairs, Triples, Quads and Beyond
by Donald L. BakerThis book presents new methods of circuit design for guitar electronics, based directly upon U.S. Non-Provisional Patent Applications. By systematic construction of unique series-parallel circuit topologies, the author shows how many series-parallel circuits are possible, including non-matched single-coil pickups, humbucking pickups, and humbucking combinations of matched single-coil pickups. This allows designers to avoid unnecessary and confusing duplicate circuits in pickup switching systems. It shows how electromechanical switches cannot produce the maximum number of tones for more than 2 or 3 pickups. Thus the author discloses an efficient micro-controller and cross-point switch architecture to replace mechanical switches, and allow access to the maximum number of tones. The discussion continues, developing humbucking circuits for odd numbers of matched single-coil pickups, extendable to any odd or even number, greater than 1, using a simplified switching system with very simple rules. It abandons some tones in favor of producing all-humbucking and unique tones, no matter what the switching choice. The author discloses both mechanical and digital switching versions. Then, based on using humbucking basis vectors, the author discloses variable-gain circuits that duplicate all possible switched humbucking tone circuits, and produces all the continuous tone gradations in between. The presentation includes analog and digitally controlled systems. The object of all the disclosures: give the guitarist or pianist a system which allows going from bright to warm tones and back, without ever needing to know which pickups are used in what combination.
Sensor Data Analysis and Management: The Role of Deep Learning
by A. Suresh R. Udendhran M.S. Irfan AhmedDiscover detailed insights into the methods, algorithms, and techniques for deep learning in sensor data analysis Sensor Data Analysis and Management: The Role of Deep Learning delivers an insightful and practical overview of the applications of deep learning techniques to the analysis of sensor data. The book collects cutting-edge resources into a single collection designed to enlighten the reader on topics as varied as recent techniques for fault detection and classification in sensor data, the application of deep learning to Internet of Things sensors, and a case study on high-performance computer gathering and processing of sensor data. The editors have curated a distinguished group of perceptive and concise papers that show the potential of deep learning as a powerful tool for solving complex modelling problems across a broad range of industries, including predictive maintenance, health monitoring, financial portfolio forecasting, and driver assistance. The book contains real-time examples of analyzing sensor data using deep learning algorithms and a step-by-step approach for installing and training deep learning using the Python keras library. Readers will also benefit from the inclusion of: A thorough introduction to the Internet of Things for human activity recognition, based on wearable sensor data An exploration of the benefits of neural networks in real-time environmental sensor data analysis Practical discussions of supervised learning data representation, neural networks for predicting physical activity based on smartphone sensor data, and deep-learning analysis of location sensor data for human activity recognition An analysis of boosting with XGBoost for sensor data analysis Perfect for industry practitioners and academics involved in deep learning and the analysis of sensor data, Sensor Data Analysis and Management: The Role of Deep Learning will also earn a place in the libraries of undergraduate and graduate students in data science and computer science programs.
Sensor Materials (Series In Sensors Ser.)
by P.T Moseley J CrockerBecause artificial sensors have assumed a major role in both domestic and industrial settings, the development of new technologies continues. Sensor Materials is the first publication that approaches the subject of sensors from a materials standpoint and provides a global overview of the field in a single, compact, and accessible volume.Introductory chapters present a solid introduction to the classification of sensors and the various properties of materials used in sensing. The subsequent chapters deal with specific areas of sensor materials, including metal, semiconductor, dielectric, solid electrolytic, magnetic, fiber optics, radiant, and biological materials. In addition, there is substantial bibliographic information that provides a source of published research literature for each sensor.
Sensor Networks
by Gianluigi FerrariThis book collects very recent results in the realm of sensor networking. In particular, it links the theory of sensor networking with practical and implementation aspects. Such, it highlights how sensor networking represents a very interesting research/application area, allowing a researcher to apply his theories and a practitioner to "see" the theories behind his/her used technologies.
Sensor Networks and Signal Processing: Proceedings of the 2nd Sensor Networks and Signal Processing (SNSP 2019), 19-22 November 2019, Hualien, Taiwan (Smart Innovation, Systems and Technologies #176)
by Sheng-Lung Peng Margarita N. Favorskaya Han-Chieh ChaoThis book offers a collection of high-quality research papers presented at the 2nd International Conference on Sensor Networks and Signal Processing (SNSP 2019), held in Taiwan on November 19–22, 2019. It presents novel contributions in the areas of sensor and actuator networks, wireless networks, networking and protocols, security and privacy, wireless communications, distributed algorithms, Internet of Things, system modeling and performance analysis, fault tolerance/diagnostics, information management, data mining and analysis, embedded systems design, signal theory, signal and image processing, detection and estimation, spectral analysis, software developments, pattern recognition, data processing, remote sensing, big data, machine learning, information and coding theory, and industrial applications.
Sensor Networks for Sustainable Development
by Mohammad Ilyas el-Hadi M. Aggoune Sami Alwakeel Mohammed AlwakeelRecent advances in technology and manufacturing have made it possible to create small, powerful, energy-efficient, cost-effective sensor nodes for specialized telecommunication applications—nodes "smart" enough to be capable of adaptation, self-awareness, and self-organization. Sensor Networks for Sustainable Development examines sensor network technologies that increase the quality of human life and encourage societal progress with minimal effect on the earth’s natural resources and environment. Organized as a collection of articles authored by leading experts in the field, this valuable reference captures the current state of the art and explores applications where sensor networks are used for sustainable development in: Agriculture Environment Energy Healthcare Transportation Disaster management Beneficial to designers and planners of emerging telecommunication networks, researchers in related industries, and students and academia seeking to learn about the impact of sensor networks on sustainable development, Sensor Networks for Sustainable Development provides scientific tutorials and technical information about smart sensor networks and their use in everything from remote patient monitoring to improving safety on the roadways and beyond.
Sensor networks in theory and practice: Successfully realize embedded systems projects
by Ansgar Meroth Petre SoraThe book provides an important foundation for understanding the Internet of Things by offering insight into common networking protocols from the microcontroller world and introducing important sensors and other devices, as well as their use and programming. All concepts shown are illustrated with practical circuit and programming examples from the authors' many years of experience. In addition, open libraries for controlling the devices presented in the book are available for readers to download from the publisher's home page. The second edition includes some new devices, especially in the area of networks, a more detailed description of the operating principles of some sensors as well as further tips and tricks for programming.