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Sensing Technology: Current Status and Future Trends II
by Subhas Chandra Mukhopadhyay Alex Mason Krishanthi Padmarani Jayasundera Nabarun BhattacharyyaThis 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 2022 (Lecture Notes in Electrical Engineering #886)
by Subhas Chandra Mukhopadhyay Krishanthi P. Jayasundera Boby George Joyanta Kumar Roy Nagender Kumar SuryadevaraThis 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 Technology: Proceedings of ICST'15 (Lecture Notes in Electrical Engineering #1035)
by Subhas Chandra Mukhopadhyay Krishanthi P. Jayasundera Boby George Nagender Kumar SuryadevaraThis 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 Vehicle Conditions for Detecting Driving Behaviors (Springerbriefs In Electrical And Computer Engineering)
by Yingying Chen Jiadi Yu 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.
Sensing and Artificial Intelligence Solutions for Food Manufacturing
by Daniel HefftThis book gives readers a practical introduction into machine learning and sensing techniques, their design and ultimately specific applications that could improve food production. It shows how these sensing and computing systems are suitable for process implementation in food factories. This book starts by giving the reader an overview of the historic structures of food manufacturing standards and how they defined today’s manufacturing. It is followed by a topical introduction for professionals in the food industries in topics such as AI, machine learning, and neural networks. It also includes an explanation of the different sensor systems and their basic principles. It shows how these sensing and computing systems are suitable for process implementation in food factories and what types of sensing systems have already been proven to deliver benefit to the food manufacturing industries. The authors also discuss issues around food safety, labelling, and traceability and how sensing and AI can help to resolve issues. They also use case studies and specific examples that can show the benefit of such technologies compared to current approaches. This book is a practical introduction and handbook for students, food engineers, technologists and process engineers on the benefits and challenges around modern manufacturing systems following Industry 4.0 approaches.
Sensing and Control for Autonomous Vehicles
by Kristin Y. Pettersen Henk Nijmeijer Thor I. FossenThis edited volume includes thoroughly collected on sensing and control for autonomous vehicles. Guidance, navigation and motion control systems for autonomous vehicles are increasingly important in land-based, marine and aerial operations. Autonomous underwater vehicles may be used for pipeline inspection, light intervention work, underwater survey and collection of oceanographic/biological data. Autonomous unmanned aerial systems can be used in a large number of applications such as inspection, monitoring, data collection, surveillance, etc. At present, vehicles operate with limited autonomy and a minimum of intelligence. There is a growing interest for cooperative and coordinated multi-vehicle systems, real-time re-planning, robust autonomous navigation systems and robust autonomous control of vehicles. Unmanned vehicles with high levels of autonomy may be used for safe and efficient collection of environmental data, for assimilation of climate and environmental models and to complement global satellite systems. The target audience primarily comprises research experts in the field of control theory, but the book may also be beneficial for graduate students.
Sensing and Shaping Emerging Conflicts
by Steve Olson National Academy of Engineering United States Institute of Peace Andrew RobertsonTechnology has revolutionized many aspects of modern life, from how businesses operate, to how people get information, to how countries wage war. Certain technologies in particular, including not only cell phones and the Internet but also satellites, drones, and sensors of various kinds, are transforming the work of mitigating conflict and building peaceful societies. Rapid increases in the capabilities and availability of digital technologies have put powerful communications devices in the hands of most of the world's population. These technologies enable one-to-one and one-to-many flows of information, connecting people in conflict settings to individuals and groups outside those settings and, conversely, linking humanitarian organizations to people threatened by violence. Communications within groups have also intensified and diversified as the group members use new technologies to exchange text, images, video, and audio. Monitoring and analysis of the flow and content of this information can yield insights into how violence can be prevented or mitigated. In this way technologies and the resulting information can be used to detect and analyze, or sense, impending conflict or developments in ongoing conflict. On October 11, 2012, the National Academy of Engineering (NAE) and the United States Institute of Peace (USIP) held a workshop in Washington, DC, to identify "major opportunities and impediments to providing better real-time information to actors directly involved in situations that could lead to deadly violence." The workshop brought together experts in technology, experts in peacebuilding, and people who have worked at the intersections of those two fields on the applications of technology in conflict settings, to consider uses of technology to sense emerging and ongoing conflicts and provide information and analyses that can be used to prevent violent and deadly conflict. Sensing and Shaping Emerging Conflicts: Report of a Joint Workshop of the National Academy of Engineering and the United States Institute of Peace: Roundtable on Technology, Science, and Peacebuilding summarizes the workshop.
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 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, Data Managing, and Control Technologies for Agricultural Systems (Agriculture Automation and Control)
by Tao Lin Shaochun Ma Enrong Mao Zhenghe Song Kuan-Chong TingAgricultural automation is the emerging technologies which heavily rely on computer-integrated management and advanced control systems. The tedious farming tasks had been taken over by agricultural machines in last century, in new millennium, computer-aided systems, automation, and robotics has been applied to precisely manage agricultural production system. With agricultural automation technologies, sustainable agriculture is being developed based on efficient use of land, increased conservation of water, fertilizer and energy resources. The agricultural automation technologies refer to related areas in sensing & perception, reasoning & learning, data communication, and task planning & execution. Since the literature on this diverse subject is widely scattered, it is necessary to review current status and capture the future challenges through a comprehensive monograph.In this book we focus on agricultural automation and provide critical reviews of advanced control technologies, their merits and limitations, application areas and research opportunities for further development. This collection thus serves as an authoritative treatise that can help researchers, engineers, educators, and students in the field of sensing, control, and automation technologies for production agriculture.
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.
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 Array Signal Processing
by Prabhakar S. NaiduSince publication of the first edition of Sensor Array Signal Processing in 2000, the field it heralded has come of age. Sensor arrays helped usher in the age of wireless communication by meeting the increasing capacity requirements of ever growing wireless networks, but that is only one example of the number of uses served by this valuable te
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 Fusion Approaches for Positioning, Navigation, and Mapping: How Autonomous Vehicles and Robots Navigate in the Real World: with MATLAB examples
by Mohamed M. AtiaUnique exploration of the integration of multi-sensor approaches in navigation and positioning technologies. Sensor Fusion Approaches for Positioning, Navigation, and Mapping discusses the fundamental concepts and practical implementation of sensor fusion in positioning and mapping technology, explaining the integration of inertial sensors, radio positioning systems, visual sensors, depth sensors, radar measurements, and LiDAR measurements. The book includes case studies on ground wheeled vehicles, drones, and wearable devices to demonstrate the presented concepts. To aid in reader comprehension and provide readers with hands-on training in sensor fusion, pedagogical features are included throughout the text: block diagrams, photographs, plot graphs, examples, solved problems, case studies, sample codes with instruction manuals, and guided tutorials. Rather than simply addressing a specific sensor or problem domain without much focus on the big picture of sensor fusion and integration, the book utilizes a holistic and comprehensive approach to enable readers to fully grasp interrelated concepts. Written by a highly qualified author, Sensor Fusion Approaches for Positioning, Navigation, and Mapping discusses sample topics such as: Mathematical background, covering linear algebra, Euclidean space, coordinate frames, rotation and transformation, quaternion, and lie groups algebra. Kinematics of rigid platforms in 3D space, covering motion modeling in rotating and non-rotating frames and under gravity field, and different representations of position, velocity, and orientation. Signals and systems, covering measurements, and noise, probability concepts, random processes, signal processing, linear dynamic systems, and stochastic systems. Theory, measurements, and signal processing of state-of-the-art positioning and mapping sensors/systems covering inertial sensors, radio positioning systems, ranging and detection sensors, and imaging sensors. State Estimation and Sensor Fusion methods covering filtering-based methods and learning-based approaches. A comprehensive introductory text on the subject, Sensor Fusion Approaches for Positioning, Navigation, and Mapping enables students to grasp the fundamentals of the subject and support their learning via ample pedagogical features. Practicing robotics and navigation systems engineers can implement included sensor fusion algorithms on practical platforms.
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 Network Protocols
by Mohammad Ilyas Imad MahgoubSensor networks continue to grow in importance for modern communication networks. Communication protocols are at the core of these networks, determining their ability to function, their capabilities, and the environments in which they are able to operate. In chapters carefully selected from the popular Handbook of Sensor Networks, Sensor Network Protocols supplies a sharply focused reference on protocols, security, data processing, and energy management in communication sensor networks that is ideal for specialists in the field. Providing a succinct guide to the protocols currently used in advanced sensor networks, this book focuses on four main areas: routing protocols; data gathering and processing; security and reliability; and energy management. The book opens with a survey of the challenges and opportunities facing the field. Then, expert contributors authoritatively discuss routing technologies, next-generation enabling technologies, comparative study of energy-efficient protocols for wireless sensor networks, techniques to reduce computation and communication energy consumption, energy-aware routing, localized algorithms for sensor networks, and much more.Sensor Network Protocols details the techniques and technologies that are at the heart of modern sensor networks. It is an ideal reference for anyone interested in designing, planning, or building emerging sensor and communications networks.
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 Margarita N. Favorskaya Han-Chieh Chao Sheng-Lung PengThis 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 with IEEE 802.15.4 Systems
by Roberto Verdone Gianluigi Ferrari Marco Martalo' Chiara BurattiThis book presents a simple, yet complete, approach to the design and performance analysis of distributed processing algorithms and techniques suitable for IEEE 802.15.4 networks. In particular, the book focuses on the bottom two layers of the ISO/OSI stack (Physical and Medium Access Control), discussing also a few issue related to routing. The book is a the synergistic combination of signal processing aspects on the one hand and MAC and connectivity issues on the other hand. The goal of the book is to clearly link physical layer aspects with medium access and topology aspects, in order to provide the reader with a clear understanding of how to approach the design of proper distributed signal processing and medium access algorithms in this context.