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Signal Processing is one of the large specializations in electrical engineering, mechanical engineering and computer sciences. It derives input from physics, mathematics and is an indispensable feature of all natural- and life sciences in research and in application. The snew series'Advanced Issues on Signals, Systems and Devices'presents original publications mainly from speakers on the International Conferences on Signal Systems and Devices but also from other international authors. The Conference is a forum for researchers and specialists in different fields covering all types of sensors and measurement systems as for example: Biomedical and Environmental Measurements & Instrumentation; Optical, Chemical and Biomedical Sensors; Mechanical and Thermal Sensors; Micro-Sensors and MEMS-Technology; Nano Sensors, Nano Systems and Nano Technology; Spectroscopy Methods; Signal Processing and Modelling; Multi Sensor Data Fusion; Data Acquisition & Distributed Measurements; Medical and Environmental Applications; Circuit Test, Device Characterization and Modelling; Custom and Semi-Custom Circuits; Analog Circuit Design; Low-Voltage, Low-Power VLSI Design; Hardware Implementation; Materials, Devices and Interconnects; Packaging and Reliability; Battery Monitoring: Impedance Spectroscopy for Measurement and Sensor Solutions; Energy Harvesting and Wireless power Transfer Systems; Wireless Sensor Networks in Industrial Plants This first volume of the new series mainly devotes to the most recent research and implementation of sensors-, circuit systems in signal processing, energy harvesting, nano- and molecular electronics.

The proceedings of the 2nd International Conference on Next-Generation Computing and Information Systems (ICNGCIS'23) includes research papers in diverse emerging domains such as AI, blockchain, web 3.0, metaverse and edge computing apart from traditional domains such as distributed computing and networks and cybersecurity. The proceedings include papers addressing currently relevant research issues such as smart contract security, interoperability in the metaverse, AI applications in healthcare, agriculture and related domains. The proceedings encompass findings with real-world implications for the growth and evolution of modern computing and information systems by addressing various challenges related to their design, deployment, operational aspects, performance and shortcomings. The intended audience for the proceedings of ICNGCIS'23 include researchers from industry and academia, practitioners, students, technology enthusiasts and even general audience looking to explore interesting applications, use-cases and fundamental issues in modern computing and information systems.

The book begins with an overview of automation history and followed by chapters on PLC, DCS, and SCADA –describing how such technologies have become synonymous in process instrumentation and control. The book then introduces the niche of Fieldbuses in process industries. It then goes on to discuss wireless communication in the automation sector and its applications in the industrial arena. The book also discusses theall-pervading IoT and its industrial cousin,IIoT, which is finding increasing applications in process automation and control domain. The last chapter introduces OPC technology which has strongly emerged as a defacto standard for interoperable data exchange between multi-vendor software applications and bridges the divide between heterogeneous automation worlds in a very effective way.Key features: Presents an overall industrial automation scenario as it evolved over the years Discusses the already established PLC, DCS, and SCADA in a thorough and lucid manner and their recent advancements Provides an insight into today's industrial automation field Reviews Fieldbus communication and WSNs in the context of industrial communication Explores IIoT in process automation and control fields Introduces OPC which has already carved out a niche among industrial communication technologies with its seamless connectivity in a heterogeneous automation world Dr. Chanchal Dey is Associate Professor in the Department of Applied Physics, Instrumentation Engineering Section, University of Calcutta. He is a reviewer of IEEE, Elsevier, Springer, Acta Press, Sage, and Taylor & Francis Publishers. He has more than 80 papers in international journals and conference publications. His research interests include intelligent process control using conventional, fuzzy, and neuro-fuzzy techniques. Dr. Sunit Kumar Sen is an ex-professor, Department of Applied Physics, Instrumentation Engineering Section, University of Calcutta. He was a coordinator of two projects sponsored by AICTE and UGC, Government of India. He has published around70 papers in international and national journals and conferences and has published three books – the last one was published by CRC Press in 2014. He is a reviewer of Measurement, Elsevier. His field of interest is new designs of ADCs and DACs.

Machine learning (ML) has recently become popular in chemical and biological sensing applications. ML is a subset of artificial intelligence (AI) and other AI techniques have been used in various chemical and biological sensing. Machine Learning and Artificial Intelligence in Chemical and Biological Sensing covers the theoretical background and practical applications of various ML/AI methods toward chemical and biological sensing. No comprehensive reference text has been available previously to cover the wide breadth of this topic. The Editors have written the first three chapters to firmly introduce the reader to fundamental ML theories that can be used for chemical/biosensing. The subsequent chapters then cover the practical applications with contributions by various experts in the field. They show how ML and AI-based techniques can provide solutions for: 1) identifying and quantifying target molecules when specific receptors are unavailable 2) analyzing complex mixtures of target molecules, such as gut microbiome and soil microbiome 3) analyzing high-throughput and high-dimensional data, such as drug screening, molecular interaction, and environmental toxicant analysis, 4) analyzing complex data sets where fingerprinting approach is needed This book is written primarily for upper undergraduate students, graduate students, research staff, and faculty members at teaching and research universities and colleges who are working on chemical sensing, biosensing, analytical chemistry, analytical biochemistry, biomedical imaging, medical diagnostics, environmental monitoring, and agricultural applications. - Presents the first comprehensive reference text on the use of ML and AI for chemical and biological sensing - Provides a firm grounding in the fundamental theories on ML and AI before covering the practical applications with contributions by various experts in the field - Includes a wide array of practical applications covered, including: E-nose, Raman, SERS, lens-free imaging, multi/hyperspectral imaging, NIR/optical imaging, receptor-free biosensing, paper microfluidics, single molecule analysis in biomedicine, in situ protein characterization, microbial population dynamics, and all-in-one sensor systems

Recent Advances in Biosensor Technology (Volume 2) is a comprehensive guide to the latest developments in biosensor technology, written by experts in bioengineering and biosensor development. The book is an essential resource for researchers and biomedical engineers interested in the latest developments in biosensor technology. The volume covers the applications of biosensors in different fields. It features 9 chapters that cover key themes in this area, including biosensors for natural bioactive compounds, wearable biosensors in healthcare, 3D bioprinting and biosensors, biosensors for neurodegenerative diseases, protein biosensing and pathogen detection, biosensors for diabetes diagnosis, paper-based biosensors in diagnostics, enzymatic biosensors and their applications, and nanobiosensors in agriculture. One of the key features of this book is its detailed discussion of the novel research findings in biosensor technology, providing readers with the most up-to-date information in the field. Each chapter includes a comprehensive review of relevant literature, as well as practical examples to demonstrate the potential applications of biosensors in various fields. Furthermore, this book includes detailed references for further reading, making it an excellent resource for readers looking to deepen their understanding of biosensor technology.

Renewable energy sources interface with the ac grids via inverters are termed inverter-based resources (IBRs). They are replacing traditional fossil fuel-based synchronous generators at a dazzling speed. In turn, unprecedented dynamic events have occurred, threatening power grid reliability. Modeling and Stability Analysis of Inverter-Based Resources provides a fundamental understanding of IBR dynamics.Developing reliability solutions requires a thorough understanding of challenges, and in this case, IBR-associated dynamics. Modeling and stability analysis play an indispensable role in revealing a mechanism of dynamics. This book covers the essential techniques of dynamic model building for IBRs, including type-3 wind farms, type-4 wind farms, and solar photovoltaics. Besides modeling, this book offers readers the techniques of stability analysis. The text includes three parts. Part 1 concentrates on tools, including electromagnetic transient simulation, analysis, and measurement-based modeling. Part 2 focuses on IBR modeling and analysis details. Part 3 highlights generalized dynamic circuit representation—a unified modeling framework for dynamic and harmonic analysis.This topic of IBR dynamic modeling and stability analysis is interesting, challenging, and intriguing. The authors have led the effort of publishing the 2020 IEEE Power and Energy Society's TR-80 taskforce report “Wind Energy Systems Subsynchronous Oscillations: Modeling and Events,'and the two taskforce papers on investigation of real-world IBR dynamic events. In this book, the authors share with readers many insights into modeling and analysis for real-world IBR dynamic events investigation.

Methods and Techniques in Deep Learning Introduces multiple state-of-the-art deep learning architectures for mmWave radar in a variety of advanced applications Methods and Techniques in Deep Learning: Advancements in mmWave Radar Solutions provides a timely and authoritative overview of the use of artificial intelligence (AI)-based processing for various mmWave radar applications. Focusing on practical deep learning techniques, this comprehensive volume explains the fundamentals of deep learning, reviews cutting-edge deep metric learning techniques, describes different typologies of reinforcement learning (RL) algorithms, highlights how domain adaptation (DA) can be used for improving the performance of machine learning (ML) algorithms, and more. Throughout the book, readers are exposed to product-ready deep learning solutions while learning skills that are relevant for building any industrial-grade, sensor-based deep learning solution. A team of authors with more than 70 filed patents and 100 published papers on AI and sensor processing illustrates how deep learning is enabling a range of advanced industrial, consumer, and automotive applications of mmWave radars. In-depth chapters cover topics including multi-modal deep learning approaches, the elemental blocks required to formulate Bayesian deep learning, how domain adaptation (DA) can be used for improving the performance of machine learning algorithms, and geometric deep learning are used for processing point clouds. In addition, the book: Discusses various advanced applications and how their respective challenges have been addressed using different deep learning architectures and algorithms Describes deep learning in the context of computer vision, natural language processing, sensor processing, and mmWave radar sensors Demonstrates how deep parametric learning reduces the number of trainable parameters and improves the data flow Presents several human-machine interface (HMI) applications such as gesture recognition, human activity classification, human localization and tracking, in-cabin automotive occupancy sensing Methods and Techniques in Deep Learning: Advancements in mmWave Radar Solutions is an invaluable resource for industry professionals, researchers, and graduate students working in systems engineering, signal processing, sensors, data science, and AI.

This volume on Nanotechnology in Electronics, Photonics, Biosensors, and Emerging Technologies comprises research papers spanning from novel materials and devices, biosensors and bio-nano-systems, artificial intelligence, robotics and emerging technologies, to applications in each of these fields. These include blockchain improving security; ultra-sensitive Point of Care biosensor for detecting pathogeneses and detection of RNA-Virus infections; and advanced materials and devices such as ROM for anti-reverse engineering, FPGA bit-stream encryption, switching transients in memristors, and high-speed multi-bit logic and memories. Applications such as 3D-4D inkjet-printed wireless ultra-broadband modules for IOT, smarttag, and smart city applications are also included. In the area of material synthesis, carbon nanotube synthesis, III-nitride film growth via plasma-enhanced atomic layer deposition are noted. Threading dislocation behavior in InGaAs/GaAs (001) superlattice buffer layers brings a novel approach.Papers presented in this volume cover various aspects of high performance materials and devices for implementing high-speed electronic systems. This volume will serve as a useful reference for recent developments in nanotechnology.

This Spotlight concentrates on traffic flow sensors, expanding on sensor selection criteria, functioning of the various sensor technologies, providing strengths and limitations of each technology, and summarizing sensor installation and initialization processes as appropriate. It prepares undergraduate and graduate students, civil and transportation engineers, and traffic management professionals, in general, to select and evaluate the accuracy and other performance characteristics of traffic flow sensors for a variety of applications that include signalized intersection control, travel time and speed notification, ramp metering, freeway-to-freeway metering, mainline metering, wrong-way vehicle detection, incident detection, and active transportation and demand management (i.e., active demand management, active traffic management, and active parking management). The enhanced set includes 24 journal and proceedings papers from the SPIE Digital Library selected by the author that provide additional context and describe a wide variety of applications.

The book presents selected, extended and peer reviewed papers from the International Multiconference on System, Automation and Control held Leipzig in 2016. These are complemented with solicited contributions by international experts. This volume is devoted to power electronics in renewable energy systems as well as to hybrid renewable energy systems.

Integrated Vehicle Health Management (IVHM) is the unified capability of a system of systems (SoS) to assess the current or future state of the member system health, and integrate it within a framework of available resources and operational demand. As systems complexities have increased, so have system support costs, driven by more frequent and often enigmatic subsystem failures. IVHM strategies can be used to mitigate these issues by taking a Systems of Systems view. Combined with advanced decision support methods, this approach can be used to more effectively predict, isolate, schedule, and repair failed subsystems, reducing platform support costs and minimizing platform down time. Integrated Vehicle Health Management- System of Systems Integration brings together ten seminal SAE technical papers addressing the challenges and solutions to maintaining highly complex vehicles. The strategy requires that the IVHM system must provide actionable decision support to operators and maintainers, informing platform operational capabilities and maintenance procedures. The goal is to prevent a given component from degrading to the point of failure or predictable impending failure. Specifications should also reflect a common means for communicating this information to other health- ready IVHM system components.

Enzymes as Sensors, Volume 589, the latest release in the Methods in Enzymology series, covers a variety of topics, including advances in genetically coded fluorescent sensors, enzymes as sensors, and bioapplications of electrochemical sensors and biosensors. Users will find a comprehensive discussion of timely topics that presents a micro-level delivery of specific content related to the study of enzymes in sensors. New to this edition are highly specialized chapters on integrated strategies for gaining a systems level view of dynamic signaling networks, sensitive protein detection and quantification in paper-based microfluidics for point-of-care, and microneedle enzyme sensor arrays for continuous in vivo monitoring. This state-of-the-art series is ideal for those interested in the latest information on enzymology, with this edition focusing on sensors and their role in enzymes. - Contain contributions from leading authorities - Informs and updates on all the latest developments in the field

The Instrument and Automation Engineers'Handbook (IAEH) is the #1 process automation handbook in the world. Volume two of the Fifth Edition, Analysis and Analyzers, describes the measurement of such analytical properties as composition.Analysis and Analyzers is an invaluable resource that describes the availability, features, capabilities, and selection of analyzers used for determining the quality and compositions of liquid, gas, and solid products in many processing industries. It is the first time that a separate volume is devoted to analyzers in the IAEH. This is because, by converting the handbook into an international one, the coverage of analyzers has almost doubled since the last edition.Analysis and Analyzers: Discusses the advantages and disadvantages of various process analyzer designs Offers application- and method-specific guidance for choosing the best analyzer Provides tables of analyzer capabilities and other practical information at a glance Contains detailed descriptions of domestic and overseas products, their features, capabilities, and suppliers, including suppliers'web addresses Complete with 82 alphabetized chapters and a thorough index for quick access to specific information, Analysis and Analyzers is a must-have reference for instrument and automation engineers working in the chemical, oil/gas, pharmaceutical, pollution, energy, plastics, paper, wastewater, food, etc. industries. About the eBookThe most important new feature of the IAEH, Fifth Edition is its availability as an eBook. The eBook provides the same content as the print edition, with the addition of thousands of web addresses so that readers can reach suppliers or reference books and articles on the hundreds of topics covered in the handbook. This feature includes a complete bidders'list that allows readers to issue their specifications for competitive bids from any or all potential product suppliers.

The Instrument and Automation Engineers'Handbook (IAEH) is the Number 1 process automation handbook in the world. The two volumes in this greatly expanded Fifth Edition deal with measurement devices and analyzers. Volume one, Measurement and Safety, covers safety sensors and the detectors of physical properties, while volume two, Analysis and Analysis, describes the measurement of such analytical properties as composition. Complete with 245 alphabetized chapters and a thorough index for quick access to specific information, the IAEH, Fifth Edition is a must-have reference for instrument and automation engineers working in the chemical, oil/gas, pharmaceutical, pollution, energy, plastics, paper, wastewater, food, etc. industries.

The primary aim of this edited volume is to document the current theories, best practices, and technological advancements in the move towards a Smart Built Environment (SBE). The needs to accelerate towards the SBE are numerous and include: Increasing complexities and the need for interconnectivity within the built environment (e.g. mega infrastructure projects) Data-driven decision-making resulting in higher demand from clients (e.g. smart design, construction, operation, and end of life [EOL]) High requirements from stakeholders (e.g. system efficiency, environmental performance, green procurement) Fast paced technological advancement and integration Natural disaster resilience of the built environment (e.g. prediction, smart control of building component) Sustainability issues around the built environment In this book, the interrelationships among the various lifecycle stages: design, construction, operation, and EOL; the collective benefit of synergy at building level, multi-infrastructure level, and city-level, as well as the ultimate goals in relation to the deployment of smart technologies in the industry are addressed. Part I covers smart design and construction, Part II smart living, and operation, and Part III broadens the scope to the whole smart city. Chapters examine: How smart technologies can improve the effectiveness, productivity, and efficiency of the built environment An overview of theories and practices that are enabled by innovations and technologies for developing the SBE The basis for new research agenda, new concepts, and frameworks for future development This handbook documents the current theories, practices, and technologies and develops a holistic approach for research and practice by adopting a multidimensional outlook for the SBE. It is an essential reference work for all built environment stakeholders, from academia through to the professions.

Piezoelectric materials are smart materials that sense changes in the environment, respond to these changes in predetermined stimuli, and act as combined sensor/actuator ceramic materials. Nonlinear electrostrictive relaxors (PLZT and PMN) are smart piezoelectric ceramics that respond to changes in their environment by reacting and tuning one or more of their properties to optimize their behavior. Multifunctionality is a key concept of such materials, which can be exploited with all ingenuity in the miniaturization and integration of modern devices that design engineers can muster. Present market trends show that the future for piezoelectric ceramics is bright, and these devices will become smarter and smarter as technological applications demand. More and more piezoelectric ceramic materials will emerge as a result of the relentless drive to meet the trends of applications.This book encourages more materials research efforts to develop better ferroelectric and electrostrictive ceramics for future applications and discusses several methods based on their cost and applications. Each chapter in the book is unique as it is written by eminent authors from various renowned institutions who share their research experiences on electrically active smart and very smart materials. The book presents bulk, thick-film, and thin-film forms of these materials that have now proved their worth and constitute a strong portfolio for future applications in electronics.

Practical lab manual on the stepwise description of the experimental procedures of micro electromechanical systems (MEMS) devices Micro Electromechanical Systems (MEMS) is a highly practical lab manual on the relevant experimental procedures of MEMS devices, covering technical aspects including simulations and modeling, practical steps involved in fabrication, thorough characterizations of developed MEMS sensors, and leveraging these sensors in real-time targeted applications. The book provides in-depth coverage of multi-physics modeling for various sensors, as well as fabrication methodologies for photolithography, soft lithography, 3D printing, and laser processing-based experimental details for the realization of MEMS devices. It also covers characterization techniques from morphological to compositional, and applications of MEMS devices in contemporary fields such as microfluidics, wearables, and energy harvesters. The text also includes a foundational introduction to the subject. The book covers additional topics such as: Basic fluid flow and heat transfer in microfabrication, Y and T channel mixing, and simulation processes for Droplet generationSimulations based on cyclic voltammetry and electrochemical impedance spectroscopy, screen and ink-jet printing, laser-induced graphene, reduced graphene oxide, and 3D printingX-ray diffraction, scanning electron microscopy, optical microscopy, Raman spectroscopy, energy dispersive spectroscopy, and Fourier Transform Infrared (FTIR) Spectroscopy Experimental stepwise details to enable students to perform the experiments in the practical laboratory and future outlooks on the direction of the field A practical guidebook on the subject, Micro Electromechanical Systems (MEMS) is a must-have resource for students, academicians, and lab technicians seeking to conduct experiments in real-time.

Expert guidance on technologies to build the Internet of Things (IoT) from electrical engineering and power industry perspectives IoT for Smart Grid presents advanced Internet of Things (IoT) technologies that are utilized in various aspects of smart electrical systems, especially monitoring, diagnosis, automation, and industrial evolution, from the point of view of both electrical engineering and power industry facilities and resources. The book describes how IoT has expanded the use of wireless sensor networks (WSN) to play a vital role in connecting power industry facilities and resources to reduce energy consumption and costs. It also explores concepts of e-mobility that include smart parking, vehicle monitoring, and charging, and considers future challenges such as security and privacy concerns in transactive systems and scalability and standardization issues. Later chapters describe communication protocols for transactive IoT, smart grid integration, cybersecurity challenges, smart energy management, and more. Relevant examples and practical case studies are included to enrich and reinforce learning. Edited by a team of highly qualified professionals in the field, IoT for Smart Grid explores additional topics such as: MQTT, CoAP, and other protocols in transactive systems and WSN diagnostic tools for ensuring reliability and performanceThe role of sensors and actuators in transactive models and significance of transactive IoT in modern applicationsRemote control and automation in smart grids, utilizing IoT for demand response programs, load shifting strategies, and dynamic pricing models and IoT integration IoT for Smart Grid is a definitive reference for identifying and applying advanced technologies and concepts and a highly valuable learning resource for students, researchers, consultants, and utility engineers in the design, use, and maintenance of electrical power systems.

Comprehensive resource covering new technologies, materials, strategies, and recent advancements in the field of biosensing Biosensors summarizes cutting-edge technologies in biosensing, including gene editing (known as Clustered Regularly Interspaced Short Palindromic Repeat or CRISPR), quorum sensing utilizing inter and intra cell signals, two-dimensional (2D) materials and aptamer-mediated sensor designs, and more, with additional coverage of the latest materials, strategies, and advancements made in the field. Chapters are categorized on the basis of various bio-recognition elements that include aptamer, nucleic acid, enzymes, antibodies, bacteriophages, peptides, and molecular imprinted polymers. Plasmonic, surface-enhanced Raman scattering, colorimetric, fluorescence, electrochemical, magneto and piezo-electric biosensor sensing techniques are also considered. The roles of various nanomaterials, advancement in synthesis, signal enhancement strategies, and new trends for biomedical applications are also described. Current challenges, limitations, and future prospects to developing biosensors for point-of-care and clinical applications are also discussed. Written by three highly qualified authors, Biosensors includes information on: Diverse bio-receptors include nucleic acids, aptamers, enzymes, antibodies, bacteriophages, molecularly imprinted polymers, whole-cell, and techniques of immobilization Different transduction principles using bio-receptors (e.g., optical, electrochemical, piezo-electrical, and SERS) to detect microorganism, toxins, and diseases Nanomaterials synthesis, their role in biosensing, pros and cons of carbon, polymer, metals, metal oxides, and quantum dots-based nanomaterials in medical biosensing applications Biosensors is a comprehensive and complete resource on the subject for researchers and professionals in physics, chemistry, and biomedical science, research communities working in the fields of plasmonics, optics, biosensors, and nano-photonics, and students in related programs of study.

This book addresses advancement in nanomaterials to design and develop non-invasive healthcare sensors including a combination of hybrid nanocomposites to design non-invasive devices for diagnosing human diseases. The cost-effectiveness is addressed with the methodologies to increase the scalability of the fabrication process. It aims to provide a complete end-to-end solution for smart non-invasive diagnosis developed indigenously and is a cost-effective complete guide to implement a deployable healthcare solution in real-time scenarios.Key Features: Focuses on the design and development of healthcare sensor devices. Reviews different AI techniques using senors for healthcare. Focuses on the application of nanomaterials in different biosensing applications. Explores non-invasive and painless diagnosis with remote healthcare. Discusses remote healthcare with IoMT integration and smart app communication. This book is aimed at graduate students and researchers in biomedical engineering, medical devices, machine learning/pattern recognition, and nanotechnology.

The new generation of devices and wearables requires state of the art technology to provide seamless solutions for the users. This tutorial-style book on circuits and systems introduces the latest devices and wearables using smart materials for compact and lightweight design. It provides an overview on the fundamental theory of shape memory alloy materials, designing shape memory alloy actuation for different applications, as well as highlighting current devices and wearables using shape memory alloy.Shape memory alloy is a type of smart material that has huge potential to replace conventional actuators due to its high force to weight ratio. The book also includes other examples of medical devices that have been developed. It is targeted for researchers, technical staff, engineers, and students focusing on devices and wearables.

Discover the design, implementation, and analytical techniques for multi-modal intelligent sensing in this cutting-edge text The Internet of Things (IoT) is becoming ever more comprehensively integrated into everyday life. The intelligent systems that power smart technologies rely on increasingly sophisticated sensors in order to monitor inputs and respond dynamically. Multi-modal sensing offers enormous benefits for these technologies, but also comes with greater challenges; it has never been more essential to offer energy-efficient, reliable, interference-free sensing systems for use with the modern Internet of Things. Multimodal Intelligent Sensing in Modern Applications provides an introduction to systems which incorporate multiple sensors to produce situational awareness and process inputs. It is divided into three parts—physical design aspects, data acquisition and analysis techniques, and security and energy challenges—which together cover all the major topics in multi-modal sensing. The result is an indispensable volume for engineers and other professionals looking to design the smart devices of the future. Multimodal Intelligent Sensing in Modern Applications readers will also find: Contributions from multidisciplinary contributors in wireless communications, signal processing, and sensor design Coverage of both software and hardware solutions to sensing challenges Detailed treatment of advanced topics such as efficient deployment, data fusion, machine learning, and more Multimodal Intelligent Sensing in Modern Applications is ideal for experienced engineers and designers who need to apply their skills to Internet of Things and 5G/6G networks. It can also act as an introductory text for graduate researchers into understanding the background, design, and implementation of various sensor types and data analytics tools.

The key social issues of health, medicine, the environment, food and safety cannot be addressed without the support of chemical sensors and biosensors, whose performance is constantly improving in terms of reliability and cost, particularly in the production of autonomous devices connected to the Internet. Obtaining high-intensity transduction signals arising from the interaction of an analyte and a sensor, enabling the identification and dosage of a given compound, requires the selection of suitable physical measurement methods and the creation of structures that react specifically to different types of analyte. Nanotechnologies and Nanomaterials Applied to Chemical Sensors and Biosensors details recent advances in the field of sensor design using carbon-based nanomaterials (graphene, carbon nanotubes, carbon quantum dots, etc.) and inorganic nanomaterials (metallic nanoparticles, nanocrystals, transition metal dichalcogenides, etc.), as well as a variety of physical sensing methods (electrochemical, piezoelectric, electromagnetic, optic, optoelectronic, etc.).

Comprehensive resource discussing operating principles, available architectures, and design of micropower incremental analog-to-digital converters (IADCs) Incremental Data Converters for Sensor Interfaces describes the motivation for using incremental analog-to-digital converters (IADCs), including the theoretical foundations of their operation, the trade-offs in their use, and the practical issues in the circuit analysis and design of IADCs. The text covers core foundational knowledge such as the key algorithms used, circuits for single-stage and multi-stage IADCs, the design of the digital post filters for single- and multi-stage IADCs, IADC applications in measurement and instrumentation, medicine, imagers, and IoT, and comparison of delta-sigma (D-S) and incremental ADCs (IADCs) in terms of accuracy, latency, and multiplexed operation. To aid in reader comprehension and serve as an excellent classroom learning resource, Incremental Data Converters for Sensor Interfaces includes in-text problems and homework for graduate studies, along with helpful computer codes in MATLAB and Simulink. Additional topics covered in Incremental Data Converters for Sensor Interfaces include: Sensors and sensor interfaces, mixed-mode (analog–digital) communication and consumer signal chains, and ADC algorithms Quantization errors vs. quantization noise, and performance parameters and figures of merit, including resolution, linearity, accuracy, bandwidth, latency, and power dissipation Nyquist-rate and oversampling data converters, noise-shaping ADCs, and basic architectures for IADCs, including single- and multi-stage designs and discrete vs. continuous-time operation Loop filter design, D/A converter design, dynamic element matching and digital calibration, and quantizer design With comprehensive coverage of foundational knowledge surrounding the subject, various real-world examples, and helpful learning aids, Incremental Data Converters for Sensor Interfaces is an essential resource for graduate students in electronics programs, along with industrial circuit design professionals.

The exponential increase of the Internet of Things (IoTs) has revolutionized lives, but it has also resulted in massive resource consumption and environmental pollution. In conjunction with Green IoTs (GioTs), there is a parallel effort to create highly sensitive devices by device design to conserve power. Furthermore, numerous applications require deciphering information from very weak optical signals, such as from radiation, medical imaging, industrial non-destructive testing, quantum technologies, astronomy, and various other such routine measurements. It is necessary to design photodetectors with high photosensitivity using various technological innovations to reduce the noise level, such as with two inversely directed barriers, as proposed by the authors, in which the currents of devices mutually compensate each other and create low dark current with high photosensitivity thresholds. The implementation of internal amplification of photocurrents in them can provide high photosensitivity. The book presents the mechanism for the injection amplification of the photocurrent in devices based on cadmium telluride and silicon with a high-resistance sublayer, as well as the study of creating highly sensitive devices, that are resistant to radiation of optical and X-ray ranges of electromagnetic waves. Particular attention is drawn to the mutual compensation process for photocurrents arising in opposite potential barriers covering the layer during longitudinal absorption of radiation in the sublayer. Using structures on the base cadmium telluride and silicon, as an example, the phenomenon of a change in the sign of the spectral photocurrent and the possibilities of wave measurement is provided by this phenomenon. Photoelectronic processes occurring in these semiconductor structures are investigated, and expressions are obtained that relate the parameters of optical radiation and the structure. The algorithm developed using these expressions is based on a new spectral analysis mechanism, which is implemented to prepare inexpensive, reduced dimensions with the need for less materials, and energy-intensive devices. All this is considered in the context of solving urgent problems of quantitative remote identification of the components of an optically transparent medium. The global spectral analysis market is focused on the development of semiconductor photodetectors with spectral-selective sensitivity for spectral analysis. The use of such a photodetector in spectrometry will eliminate the use of opticalmechanical systems due to the new physical principle used in it and will ensure high resolution and reliability of spectrum recording. As environmental threats become increasingly unpredictable, there is also a growing need to develop remote spectral analysis, identification, and assessment of substances in air, water, and food, assessment of the effects of substances on humans, animals, and vegetation, and detection and elimination of pollution sources. Here, the spectral analysis of the electromagnetic radiation transmitting the information from the object with the help of primary sensors is essential.

The book provides an in-depth discussion of various Hybrid Nanostructures as solid-state sensors in the context of the Internet of Things (IoT). It explains the vital role that sensors play in IoT to aid in discovering what possibilities ought to be addressed to make the data more meaningful. The book highlights the applicability of biosensing field effect transistor (FET) technology with a specific emphasis on the progress being made in integrating existing FET technology and nanotechnology, using semiconductor nanowires and organic structures.• Offers in-depth discussion on Hybrid Nanostructures as solid-state sensors• Elaborates upon the fabrication of gas sensors using metal oxide semiconductor nanostructures• Studies biosensors based on metal oxide semiconductor nanostructures• Discusses the suitability of various Hybrid Sensors in solving the problems of the Internet of Things (IoT)• Provides extensive support for the development of Hybrid Nanostructures as solid-state sensorsThe book is meant for researchers and scholars of Computer Science and associated disciplines. It also serves as a valuable reference for graduate students, researchers, seeking to deepen their knowledge and engage with the latest advancements in these Hybrid Nanostructures as solid-state sensors.

In our world today, the pervasive threat of air, water, and soil contaminants has reached unprecedented levels, pushing ecosystems to the brink and causing harm to individuals worldwide. Despite numerous attempts by scholars to mitigate this crisis, we find ourselves in the infancy of understanding and combatting these pollutants. The lack of awareness among researchers regarding the types and extent of damage caused by contaminants further exacerbates the problem. This environmental dilemma calls for a transformative solution that not only identifies pollutants but also guides sustainable efforts to cleanse our vital ecosystems. Sensors for Environmental Monitoring, Identification, and Assessment is a groundbreaking book designed to revolutionize environmental research and provide a roadmap for tackling pollution head-on. This comprehensive guide is poised to make a significant impact on scholars, environmentalists, planners, researchers, industrialists, and academics globally. By delving into the diverse realms of environmental sensors, the book equips readers with the knowledge and tools necessary to identify pollutants in varied ecosystems and adopt sustainable approaches for cleanup. Its recommended topics cover critical areas such as indoor pollution, noise pollution, advancements in sensor technology, and the detection of pollutants in soil, water, air, and oceans. For environmentalists, researchers, and students alike, this book serves as a beacon of knowledge, sparking new avenues of inquiry and inspiring a collective commitment to address the pressing environmental challenges we face. Sensors for Environmental Monitoring, Identification, and Assessment is not just a book; it is a call to action, offering a transformative solution that will guide us toward a cleaner, healthier, and more sustainable future for our planet.

Carbon Nanotube-Based Sensors: Fabrication, Characterization, and Implementation highlights the latest research and developments on carbon nanotubes (CNTs) and their applications in sensors and sensing systems. It offers an overview of CNTs, including their synthesis, functionalization, characterization, and toxicology. It then delves into the fabrication and various applications of CNT-based sensors.FEATURES Defines the significance of different forms of CNT-based sensors synthesized for diverse engineering applications and compares the feasibility of their generation Helps readers evaluate different types of fabrication techniques to generate CNTs and their subsequent sensing Discusses fabrication of low-cost, efficient CNTs-based sensors that can be used for diverse applications and sheds light on synthesis methods for a range of printing techniques Highlights challenges and advances in security-related issues using CNTs-based sensors This book is aimed at researchers in the fields of materials and electrical engineering who are interested in the development of sensor technology for industrial, biomedical, and related applications.

In recent years, the advent of biosensors and bioelectronics has facilitated the swift and precise detection of numerous biomolecules or pathogens in animal samples, aquatic habitats, and plants. These technologies have emerged as potent assets for the agriculture and aquaculture industries. Many experts have raised the question; how might the integration of biosensors into portable devices or automated monitoring systems enable on-site and real-time detection of diverse biomolecules or pathogens? Agriculture and Aquaculture Applications of Biosensors and Bioelectronics presents the recent developments in biological recognition elements, transducer materials, and signal processing techniques for biosensors and bioelectronics used in agriculture and aquaculture applications. Sophisticated biosensors and bioelectronics operate through the immobilization of biological recognition components—such as enzymes or antibodies—on a transducer surface. This immobilization process allows for the targeted recognition and binding of biomolecules or pathogens. The resulting electrical, optical, or chemical changes triggered by the recognition event are quantifiable through various methods and are often enhanced by applications utilizing artificial intelligence (AI). The necessity for high sensitivity and selectivity, the optimization of biocompatibility and stability, and the integration of biosensors with AI-aided solutions are just some of the challenges and opportunities in developing biosensors for high-tech agriculture and aquaculture. This book focuses on the principles, technologies, applications, opportunities, and challenges of sensors, biosensors, and bioelectronics for agriculture and aquaculture sectors. This book is an excellent resource for the integration of sensors, biosensors, IoT technologies, and drones for overall concepts, principles, models, designs, innovations, developments, and implementation of applications in the high-tech agriculture and farming ecosystem. Agriculture and Aquaculture Applications of Biosensors and Bioelectronics targets a mixed audience of biotechnology engineers, biosensors scientists, bioelectronics researchers, high-tech agriculture analysts, Ph.D. scholars, researchers, academics, professionals, engineers, and students from different communities around the world to share and contribute concepts, methodologies, technologies, approaches, models, frameworks, applications and techniques to resolve the challenging issues associated with the leveraging of the principles and applications of biotechnologies and biosensors with the main areas of artificial intelligence and unmanned aerial vehicle sciences for modeling approaches, simulating molecules of plants, monitoring plants, controlling environment, developing applications, managing supply chain of agriculture and aquaculture in the era of digital transformation revolution.

Today, data fuels everything we do in a highly connected world. However, traditional environmental monitoring methods often fail to provide timely and accurate data for effective decision-making in today's rapidly changing ecosystems. The reliance on manual data collection and outdated technologies results in gaps in data coverage, making it challenging to detect and respond to environmental changes in real time. Additionally, integration between monitoring systems and advanced data analysis tools is necessary to derive actionable insights from collected data. As a result, environmental managers and policymakers face significant challenges in effectively monitoring, managing, and conserving natural resources in a rapidly evolving environment. Machine Learning for Environmental Monitoring in Wireless Sensor Networks offers a comprehensive solution to the limitations of traditional environmental monitoring methods. By harnessing the power of Wireless Sensor Networks (WSNs) and advanced machine learning algorithms, this book presents a novel approach to ecological monitoring that enables real-time, high-resolution data collection and analysis. By integrating WSNs and machine learning, environmental stakeholders can gain deeper insights into complex ecological processes, allowing for more informed decision-making and proactive management of natural resources. Key features of the book include an in-depth exploration of the principles, methodologies, and applications of WSNs and machine learning in environmental monitoring, real-world case studies and projects illustrating successful implementations, and a discussion on energy-efficient strategies for optimizing the sustainability of WSN deployments. Emphasis is placed on interdisciplinary collaborations among environmental scientists, engineers, data scientists, policymakers, and other stakeholders to foster innovative solutions for sustainable ecological monitoring. This book, tailored for researchers, practitioners, policymakers, and environmental enthusiasts, is an invaluable resource for leveraging cutting-edge technologies to address environmental monitoring and conservation challenges.

Structural health monitoring is a powerful tool across civil, mechanical, automotive, and aerospace engineering, allowing the assessment and measurement of physical parameters in real time. Processing changes in the vibration signals of a dynamic system can detect, locate, and quantify any damage existing in the system. This book presents a comprehensive state‑of‑the‑art review of the applications in time, frequency, and time‑frequency domains of signal‑processing techniques for damage perception, localization, and quantification in various structural systems.Experimental investigations are illustrated, including the development of a set of damage indices based on the signal features extracted through various signal‑processing techniques to evaluate sensitivity in damage identification. Chapters summarize the application of the Hilbert–Huang transform based on three decomposition methods such as empirical mode decomposition, ensemble empirical mode decomposition, and complete ensemble empirical mode decomposition with adaptive noise. Also, the chapters assess the performance and sensitivity of different approaches, including multiple signal classification and empirical wavelet transform techniques in damage detection and quantification. Artificial neural networks for automated damage identification are introduced.This book suits students, engineers, and researchers who are investigating structural health monitoring, signal processing, and damage identification of structures.

Smart grid is a new generation of power grids that is expected to enhance its reliability and reduce carbon footprint by integrating distributed resources. Microgrid technology allows the integration of renewable energies, which come in three modes: AC, DC, or hybrid. The increasing number of DC loads, the need to reduce power loss in converting DC power to AC, and the existence of DC storage units have favored the adoption of DC microgrids. The electrification of the transportation sector has further supported the adoption of DC microgrids. A DC microgrid system comprises renewable resources, DC storage elements, DC loads, and intelligent electrical devices. It has gained interest due to its efficiency, scalability, and cost-effectiveness. DC microgrids play a crucial role in powering diverse applications such as data centers, residential areas, base stations, and electric vehicle charging stations.This book covers the design, control, and management of DC microgrids in both islanded and grid-connected modes. It focuses on ICT infrastructure, security, sensors, embedded systems, machine learning algorithms, edge/fog computing, and the socio-economic impact.

Machine learning, Internet of Things (IoT) and data analytics are new and fresh technologies that are being increasingly adopted in the field of medicine. This book positions itself at the forefront of this movement, exploring the beneficial applications of these new technologies and how they are gradually creating a smart healthcare system.This book details the various ways in which machine learning, data analytics and IoT solutions are instrumental in disease prediction in smart healthcare. For example, wearable sensors further help doctors and healthcare managers to monitor patients remotely and collect their health parameters in real-time, which can then be used to create datasets to develop machine learning models that can aid in the prediction and detection of any susceptible disease. In this way, smart healthcare can provide novel solutions to traditional medical issues.This book is a useful overview for scientists, researchers, practitioners and academics specialising in the field of intelligent healthcare, as well as containing additional appeal as a reference book for undergraduate and graduate students

This volume explores IoT architectures, their configuration, and operability in wireless sensor networks.The topics are spread across nine structured chapters covering fundamental and applied knowledge about wireless sensor networks using IoT devices. The book starts with an introduction to the subject, giving readers a quick overview of IoT enabled networks and bio-inspired approaches towards network design. This is followed by chapters explaining optimized routing protocols for accident detection, efficiency and performance analysis. The book concludes with four chapters dedicated to security applications of wireless networks, for homes, urban areas and businesses. Overall, the volume gives a balance of theoretical and practical information for readers.The book is intended as a resource for graduate and postgraduate students for understanding network design for home and embedded applications, specifically using single board computing devices. It also serves as a guide for networking courses and assessments.

The rapid advancement of the Internet of Technology (IoT) and smart technologies poses significant challenges for academic scholars. With the emergence of pervasive sensing, machine learning, cloud computing, and energy efficiency, pioneers in this field face the complexity of meeting new requirements such as reliability, quality of service, and energy efficiency. Navigating these challenges and keeping up with the latest advancements can be overwhelming, hindering scholarly contributions in this dynamic area of study. To address these challenges, AIoT and Smart Sensing Technologies for Smart Devices, edited by Fadi Alturjman, offers an invaluable solution for academic scholars. This comprehensive book serves as a knowledge hub, bringing together a diverse range of research and professional contributions. By providing a platform for knowledge exchange and collaboration, it enables scholars to delve into topics such as IoT-oriented applications, sustainable development, machine learning, wireless networks, and more. It is ideal for experts, researchers, and students, as this book equips readers with the necessary insights and understanding to navigate the complexities of IoT and smart technologies. Covering diverse areas like IoT paradigms in sustainable education systems, network security, machine learning approaches, and wireless network protocols, it serves as a guide to unlocking the potential of these new technologies and their many applications. With this resource at their disposal, scholars can stay informed, explore innovative approaches, and make meaningful contributions to the advancement of IoT and smart technologies. AIoT and Smart Sensing Technologies for Smart Devices is a compelling solution for academic scholars grappling with the challenges of AIoT and smart technologies. By consolidating a wealth of research and professional contributions, this book provides a platform for collaboration and knowledge exchange. With its comprehensive coverage of key topics, it empowers experts, researchers, and students to navigate the complexities of AIoT, foster innovation, and contribute to the development of this transformative field.

Electrical impedance tomography (EIT) is a technique employed in tactile sensing to create an image of impedance changes within a continuous sensor using electrodes placed only at the perimeter. This is advantageous for soft sensing “e-skins” being developed for applications such as robotics and human-machine interactions. EIT was originally developed for medical diagnostics and has more recently been adopted for tactile imaging, which has distinct requirements and challenges. This book explains the fundamentals of EIT at a basic level, without requiring a high level of mathematical expertise, making it an accessible text for students and newcomers to the field. It also covers applications and challenges of the method, recent developments, and practical implications. Key Features: Introduction at a basic level for newcomers to the field. Written to be accessible to the sensing community Explanations accompanied by images and examples. All the main concepts explained in one place. Focus on tactile imaging issues.

This book covers the main special functions that are available on the two most popular calculators, the Texas Instruments TI-55 and the Hewlett-Packard HP-33E. It is designed for use by beginning engineering and technical students and as a handbook for calculator applications.

This book aims to empower researchers, scientists, and professionals with the knowledge to harness the power of real-time electrochemical devices. It provides a springboard for those seeking to develop and implement these tools in environmental monitoring, medical diagnostics, industrial process control, and more. The book explores the fundamental principles behind their operation and delves into the latest advancements in materials science and engineering that enhance their capabilities. Real-Time Applications of Advanced Electrochemical Devices is an invaluable resource for those seeking to push the boundaries of electrochemical analysis and unlock its potential for real-time monitoring and control in a constantly evolving world. Key Features: Features theory and applications Reviews various sensor types, materials and manufacturing methods Features applications across several fields of interest Interdisciplinary readership

A comprehensive resource providing basic principles and state-of-the art developments in sensorless control technologies for permanent magnet synchronous machine drives Sensorless Control of Permanent Magnet Synchronous Machine Drives highlights the global research achievements over the last three decades and the sensorless techniques developed by the authors and their colleagues, and covers sensorless control techniques of permanent magnet machines, discussing issues and solutions. Many worked application examples are included to aid in practical understanding of concepts. Written by two pioneering authors in the field, Sensorless Control of Permanent Magnet Synchronous Machine Drives covers sample topics such as: Permanent magnet brushless AC and DC drives Single three-phase, dual three-phase, and open winding machines Modern control theory based sensorless methods, covering model reference adaptive system, sliding mode observer, extended Kalman filter, and model predictive control Flux-linkage and back-EMF based methods for non-salient machines, and active flux-linkage and extended back-EMF methods for salient machines Pulsating and rotating high frequency sinusoidal and square wave signal injection methods with current or voltage response, at different reference frames, and selection of amplitude and frequency for injection signal Sensorless control techniques based on detecting third harmonic or zero-crossings of back-EMF waveforms Parasitic effects in fundamental and high frequency models, impacts on position estimation, and compensation schemes, covering cross-coupling magnetic saturation, load effect, machine saliency and multiple saliencies, inverter non-linearities, voltage and current harmonics, parameter asymmetries, and parameter mismatches Techniques for rotor initial position estimation, magnetic polarity detection, and transition between low and high speeds Describing basic principles, examples, challenges, and practical solutions, Sensorless Control of Permanent Magnet Synchronous Machine Drives is a highly comprehensive resource on the subject for professionals working on electrical machines and drives, particularly permanent magnet machines, and researchers working on electric vehicles, wind power generators, household appliances, and industrial automation.

This unique compendium consists of peer-reviewed articles spanning from novel growth of materials for nanoelectronic and nanophotonic devices, electronic nose sensor array, bio-nano-systems, artificial intelligence/machine learning, and emerging technologies, to applications in each of these fields.Systems implementing additively manufactured RF devices for communication, packaging, remote sensing, compact multi-bit FETs and memories are also included.Plasmonic nanostructures with electrical connections have potential applications as new electro-optic devices. Quantum dot-based devices are discussed with regard to optical logic gates, mid-infrared photodetectors, gain and index tailored external cavity high power lasers.Contributed by eminent researchers, this useful reference text broadly illustrates relevant aspects of high-performance materials and emerging nanodevices for implementing high-speed electronic systems.

Condensation Particle Counting Technology and Its Applications introduces the principles, key components, calibration methods, and applications of condensation particle counting systems.This book delves into the adverse effects of fine particles on human health, along with the existing detection technologies for these particles. It discusses the theories and methods of optical measurement for fine particles and elaborates on the applicable conditions for each light scattering theory, providing a theoretical foundation for detecting particle-scattered light. This book concludes with an overview of the challenges posed by ongoing climate change and future research prospects in condensation particle counting (CPC).This book is intended for industry professionals and environmental researchers specializing in particle and aerosol measurement, detection methods, and technology.

Multifunctional Cement-Based Sensors for Intelligent Infrastructure: Design, Fabrication and Application covers the development and use of cement-based sensors for monitoring structural health, durability, and environmental conditions in concrete infrastructure.Monitoring the performance and condition of bridges, buildings, and roads improves safety and longevity while preventing failures and reducing maintenance costs. Cement-based sensors offer low cost, ease of installation, and compatibility with existing building materials, and can also provide real-time monitoring data to detect and diagnose potential issues before they become major problems. This book sets out the principles of the sensing mechanisms, fabrication techniques, and performance evaluation along with several case studies. It also provides a glimpse into a future where concrete structures will not only stand as pillars of strength but also become an indispensable part of smart cities as the core of automation.The book suits researchers, engineers, and practitioners involved in design, construction, and maintenance of concrete buildings and infrastructure.Wengui Li is a Scientia Associate Professor in the School of Civil and Environmental Engineering and the group leader of Intelligent Concrete and Infrastructure Materials in the Centre for Infrastructure Engineering and Safety (CIES) at The University of New South Wales (UNSW Sydney), Australia. He is the recipient of Australian Research Council (ARC) Future Fellow and ARC DECRA Fellow.Wenkui Dong earned his PhD from the University of Technology Sydney, Australia. Currently, he works as Postdoctoral Research Fellow at the Institute of Construction Materials at Technische Universität Dresden, Germany.Surendra P. Shah is a Presidential Distinguished Professor at the University of Texas at Arlington, Walter P. Murphy Professor (emeritus) at Northwestern University, and a member of the National Academy of Engineering, USA.

Luminescent Thermometers deals with all aspects of the subject from principles of methods to their applications in different areas. This book familiarizes the readers with the fundamentals of luminescence thermometry, materials used for the development of different luminescence thermometers, viz. metal-organic frameworks (MOFs) including lanthanide-doped MOFs referred as LOFs, quantum dots (QDs), rare earth-doped phosphors, and upconversion phosphors. Further, some advanced and next generation approaches for luminescent thermometers such as carbon-based materials, nanocomposites, double perovskites and garnet systems are assimilated. The applications of luminescent thermometers in temperature sensing of biological cells and tumors, thermal imaging of biological cells, flexible temperature sensors, health monitoring with wearable thermometers, and environmental monitoring are the key features of this volume. It is a valuable contribution to the literature for material scientists and engineers in academia and R&D as well as researchers working in biology and environment science.Key Features: Covers entire range of luminescent thermometers from fundamentals to applications Describes state-of-the-art of materials and next generation approaches for luminescence-based nanothermometery Discusses the high-end utilities of luminescent thermometers in different aspects of human life are discussed

Biological and chemical warfare agents, including viruses, bacteria, and explosive and radioactive compounds, can induce illness or death in humans, animals, and plants. Plasmonic nanosensors as detection tools of these agents offer significant advantages, including rapid detection, sensitivity, selectivity, and portability. This book explores novel and updated research on different types of plasmonic nanosensors for analysis of biological and chemical threat agents. It covers a brief theory of plasmonic nanosensors, summarizes the state-of-art in the molecular recognition of biological and chemical threat agents, and describes the application of various types of nanosensors in the detection of these threat agents.This book: Brings together recent academic research from an interdisciplinary approach including chemistry, biology, and nanotechnology Discusses current trends and developments Describes applications of a variety of different types of plasmonic nanosensors Explores outlooks and expectations for this technology Showcasing the latest achievements in plasmonic nanosensors, this book will appeal to researchers in materials, chemical, and environmental engineering as well as chemistry interested in exploring the application of sensors to support environmental monitoring and global health.

This book presents the basic concepts, principles and technologies of wireless communication. The author focuses on the characteristics of the channel, the performance degradation, and various technologies to improve the performance of the wireless communication system. The upper technologies involved in building wireless performance are also discussed, and a prototype of the system is presented.

HANDBOOK OF CONSTRUCTION MANAGEMENT FOR INSTRUMENTATION AND CONTROLS Learn to effectively install and commission complex, high-performance instrumentation and controls in modern process plants In Handbook of Construction Management for Instrumentation and Controls, a team of experienced engineers delivers an expert discussion of what is required to install and commission complex, high-performance instrumentation and controls. The authors explain why, despite the ubiquitous availability of diverse international standards and instrument manufacturer data, the effective delivery of such projects involves significantly more than simply fitting instruments on panels. The book covers material including site management, administration, operations, site safety, material management, workforce planning, instrument installation and cabling, instrument calibration, loop check and controller tuning, results recording, and participation in plant commissioning exercises. It also provides an extensive compendium of forms and checklists that can be used by professionals on a wide variety of installation and commissioning projects. Handbook of Construction Management for Instrumentation and Controls also offers: A thorough introduction to site operations, including the principles of equipment installation and testing Comprehensive explorations of quality assurance and quality control procedures from installation to pre-commissioning to site hand-over Practical discussions of site administration and operations, including planning and scheduling, site safety, and contractor permits-to-work, change and delay management Detailed discussion of the installation and commissioning of complex instrumentation and control equipment Perfect for specialty contractors and subcontractors, general contractors, consulting engineers, and construction managers, and as a reference book for institutes teaching courses on Industrial Instrumentation, Handbook of Construction Management for Instrumentation and Controls will also benefit students looking for a career in instrument installation.

This book highlights the latest trends and advances in applications of digital technologies in construction engineering and management. A collection of chapters is presented, explicating how advanced technological solutions can innovatively address challenges and improve outcomes in the construction industry. Promising technologies that are highlighted include digital twins, virtual reality, augmented reality, artificial intelligence, robotics, blockchain, and distributed ledger technologies. The first section presents recent applications of extended reality technologies for construction education and advanced project control. The subsequent chapters explore Artificial Intelligence (AI), blockchain, and BIM-enabled digitalization in construction through a series of case studies, reviews, and technical studies. Innovative technologies and digitalized solutions are proposed for improved design, planning, training, monitoring, inspection, and operations management in Architectural, Engineering and Construction (AEC) contexts. In addition to the technological perspectives and insights presented, pressing issues such as decarbonization, safety, and sustainability in the built environment are also discussed.This book provides foundational knowledge and in-depth technical studies on emerging technologies for students, academics, and industry practitioners. The research demonstrates how the effective use of new technologies can enhance work methods, transform organizational structures, and bring profound advantages to construction project participants.

Addressed to physical and chemical scientists and engineers, this book provides information on the design, manufacture, and assessment of components with critical dimensions or critical tolerances in the 0.1-100 nanometer range. Such tiny parts are now used in automobile engines, cassette players, and other common products. The 16 lectures presented are from an advanced vacation school on instrumentation and nanotechnology in Warwick, England, September 1990. Among the topics are signal processing, ultrasonic sensors, and nanoactuators for controlled displacements..

Providing an overview of a new generation of ultrasonic technology, Advances in Adaptive Ultrasonics explores how ultrasonic devices can harness the properties of advanced materials, including shape memory alloys and metamaterials.The applications of ultrasonic devices range from surgery, drilling, and welding to sonar and energy harvesting. This book demonstrates how engineers can overcome common issues within the field of ultrasonics, such as precision control and choice of materials. Beginning with an overview of ultrasonic technology as it is currently understood, the book goes on to discuss the newest iteration in the form of adaptive ultrasonics and the benefits this can offer to multiple industries. Key topics include advanced materials, notably phase-transforming shape memory alloys, and the principles of adaptive ultrasonic transducer design. The book also covers measurement approaches for characterising adaptive ultrasonic devices and provides an overview of potential applications for the technology.This book will be of interest to students and engineers in the field of ultrasonic surgery, industrial engineering, welding, and mechanical materials.

A ready reference for the next-generation discovery techniques, this book presents advanced research findings on resource discovery, network navigability, and trust management on the Internet of Things (IoT) and Social Internet of Things (SIoT) ecosystems. It discusses the benefits of integrating social networking concepts into the Internet of Things to find the preferable, reliable, scalable, and near-optimal detection of things or services. It explores the concepts of the Social Internet of Things in different domains of IoT, such as the Internet of Vehicles and the Industrial Internet of Things. This book works to recognize and respond to user queries and improve service provisioning, find the optimal solution for the link selection in the SIoT structure, develop large-scale platforms, and provide a smart mechanism for trust evaluation.· Covers the rapid advancements in low-cost sensor manufacturing, communication protocols, embedded systems, actuators, and hardware miniaturization that have contributed to the exponential growth of the IoT· Presents the fundamentals of a search system for sensor search and resource discovery in an IoT ecosystem· Includes the applicability of different search techniques across several application domains of the IoT under various use case scenarios· Discusses the thrust areas in SIoT (service discovery and composition, network navigability, relationship management, and trustworthiness management) and presents several prerequisites, challenges, and use case scenarios· Provides insights into current challenges in the domains of Internet of Things and Social Internet of ThingsThis book will be helpful to researchers, scholars, and postgraduate students in Computer Science and Information Technology departments.