The IEEE Sensors Conference is a forum for presentation, discussion, and exchange of state of the art information including the latest research and development in sensors and their related fields It brings together researchers, developers, and practitioners from diverse fields including international scientists and engineers from academia, research institutes, and companies to present and discuss the latest results in the general field of sensors

"Preface -- Part I: Optoelectronic Sensors Technologies -- 1. Fiber and Integrated Optics Sensors: Fundamentals and Applications G. C. Righini, A. G. Mignani, I. Cacciari and M. Brenci -- 1. Introduction -- 2. Fiber and Integrated Optics: Fundamentals of Waveguiding -- 3. Waveguide Sensors: Basic Working Principle -- 4. Fiber Optic Sensors -- 5. Long-Period Optical Fiber Grating Sensors -- 6. Micro-structured Fiber Sensors -- 7. Integrated Optic Sensors -- 8. Conclusions -- References -- 2. Fiber Bragg Grating Sensors: Industrial Applications C. Ambrosino, A. Iadicicco, S. Campopiano, A. Cutolo, M. Giordano and A. Cusano -- 1. Introduction -- 2. Fiber Bragg Gratings History -- 3. Fiber Bragg Gratings as Sensors -- 4. Civil Applications -- 5. Aerospace Applications -- 6. Energy Applications -- 7. Oil and Gas Applications -- 8. Transport Applications -- 9. Underwater Applications -- 10. Perspective and Challenges -- References -- 3. Distributed Optical Fiber Sensors R. Bernini, A. Minardo and L. Zeni -- 1. Introduction -- 2. Linear Backscattering Systems -- 3. Non-Linear Backscattering Systems -- 4. Non-Linear Forward-Scattering Systems -- 5. Conclusions -- References -- 4. Lightwave Technologies for Interrogation Systems of Fiber Bragg Gratings Sensors D. Donisi, R. Beccherelli and A. d'Alessandro -- 1. Introduction -- 2. Operating Principle of the Fiber Bragg Grating Sensor -- 3. FBG Interrogation Techniques -- 4. An Integrated Tunable Filter using Composite Holographic Grating -- 5. POLICRYPS Filterbased FBG Sensors Interrogation -- 6. Conclusions -- Acknowledgments -- References -- 5. Surface Plasmon Resonance: Applications in Sensors and Biosensors R. Rella and M. G. Manera -- 1. Introduction -- 2. SPR Theory -- 3. Optical Sensors based on Surface Plasmon Resonance -- 4. Application of SPR in Chemical Sensors and Biosensors -- 5. SPR Instrumentation: From Traditional SPR Instrument to SPR Imaging -- 6. Future Capabilities -- References -- 6. Microresonators for Sensing Applications S. Berneschi, G. Nunzi Conti, S. Pelli and S. Soria -- 1. Introduction -- 2. Whispering Gallery Modes in a Microsphere -- 3. WGM Resonators: Applications in Sensing -- Acknowledgments -- References -- 7. Photonic Crystals: Towards a Novel Generation of Integrated Optical Devices for Chemical and Biological Detection A. Ricciardi, C. Ciminelli, M. Pisco, S. Campopiano, C. E. Campanella, E. Scivittaro, M. N. Armenise, A. Cutolo and A. Cusano -- 1. Introduction -- 2. Photonic Crystals 190; Fundamental Principles -- 3. Functional Photonic Band Gap Components and Devices -- 4. Photonic Crystals for Chemical and Biological Sensing -- 5. Photonic Crystal Fibers Sensors -- 6. Perspectives and Challenges -- References -- 8. Micromachining Technologies for Sensor Applications P. M. Sarro, A. Irace and P. J. French -- 1. Introduction -- 2. Bulk Micromachining -- 3. Surface Micromachining -- 4. Characterization of Thin Film Membranes -- 5. Conclusions and Outlook -- References -- 9. Spectroscopic Techniques for Sensors S. Pelli, A. Chiasera, M. Ferrari and G. C. Righini -- 1. Introduction -- 2. Absorption, Reflectance and Transmission Measurements -- 3. Luminescence Measurements -- 4. Raman and Brillouin Measurements -- 5. Conclusions -- References -- 10. Laser Doppler Vibrometry P. Castellini, G. M. Revel". -- OCLC.

Exciting new developments are enabling sensors to go beyond the realm of simple sensing of movement or capture of images to deliver information such as location in a built environment, the sense of touch, and the presence of chemicals. These sensors unlock the potential for smarter systems, allowing machines to interact with the world around them in more intelligent and sophisticated ways. Featuring contributions from authors working at the leading edge of sensor technology, Technologies for Smart Sensors and Sensor Fusion showcases the latest advancements in sensors with biotechnology, medical science, chemical detection, environmental monitoring, automotive, and industrial applications. This valuable reference describes the increasingly varied number of sensors that can be integrated into arrays, and examines the growing availability and computational power of communication devices that support the algorithms needed to reduce the raw sensor data from multiple sensors and convert it into the information needed by the sensor array to enable rapid transmission of the results to the required point. Using both SI and US units, the text: Provides a fundamental and analytical understanding of the underlying technology for smart sensors Discusses groundbreaking software and sensor systems as well as key issues surrounding sensor fusion Exemplifies the richness and diversity of development work in the world of smart sensors and sensor fusion Offering fresh insight into the sensors of the future, Technologies for Smart Sensors and Sensor Fusion not only exposes readers to trends but also inspires innovation in smart sensor and sensor system development.

The growth of Internet use and technologies has increased exponentially within the business sector. When utilized properly, these applications can enhance business functions and make them easier to perform. Exploring the Convergence of Big Data and the Internet of Things is a pivotal reference source featuring the latest empirical research on the business use of computing devices to send and receive data in conjunction with analytic applications to reduce maintenance costs, avoid equipment failures, and improve business operations. Including research on a broad range of topics such as supply chain, aquaculture, and speech recognition systems, this book is ideally designed for researchers, academicians, and practitioners seeking current research on various technology uses in business.

Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, including compressive sensing and sampling, distributed signal processing, and intelligent signal learning. Presenting recent research results of world-renowned sensing experts, the book is organized into three parts: Machine Learning—describes the application of machine learning and other AI principles in sensor network intelligence—covering smart sensor/transducer architecture and data representation for intelligent sensors Signal Processing—considers the optimization of sensor network performance based on digital signal processing techniques—including cross-layer integration of routing and application-specific signal processing as well as on-board image processing in wireless multimedia sensor networks for intelligent transportation systems Networking—focuses on network protocol design in order to achieve an intelligent sensor networking—covering energy-efficient opportunistic routing protocols for sensor networking and multi-agent-driven wireless sensor cooperation Maintaining a focus on "intelligent" designs, the book details signal processing principles in sensor networks. It elaborates on critical platforms for intelligent sensor networks and illustrates key applications—including target tracking, object identification, and structural health monitoring. It also includes a paradigm for validating the extent of spatiotemporal associations among data sources to enhance data cleaning in sensor networks, a sensor stream reduction application, and also considers the use of Kalman filters for attack detection in a water system sensor network that consists of water level sensors and velocity sensors.

Wireless MEMS Networks and Applications reviews key emerging applications of MEMS in wireless and mobile networks. This book covers the different types of wireless MEMS devices, also exploring MEMS in smartphones, tablets, and the MEMS used for energy harvesting. The book reviews the range of applications of wireless MEMS networks in manufacturing, infrastructure monitoring, environmental monitoring, space applications, agricultural monitoring for food safety, health applications, and systems for smart cities. - Focuses on the use of MEMS in the emerging area of wireless applications - Contains comprehensive coverage of the range of applications of MEMS for wireless networks - Presents an international range of expert contributors who identify key research in the field

This interdisciplinary work brings you to the cutting edge of emerging technologies inspired by human sight, ranging from semiconductor photoreceptors based on novel organic polymers and retinomorphic processing circuitry to low-powered devices that replicate spatial and temporal processing in the brain. Moreover, it is the first work of its kind that integrates the full range of physiological, engineering, and mathematical issues and advances together in a single source.

Analog CMOS Microelectronic Circuits describes novel approaches for analog electronic interfaces design, especially for resistive and capacitive sensors showing a wide variation range, with the intent to cover a lack of solutions in the literature. After an initial description of sensors and main definitions, novel electronic circuits, which do not require any initial calibrations, are described; they show both AC and DC excitation voltage for the employed sensor, and use both voltage-mode and current-mode approaches. The proposed interfaces can be realized both as prototype boards, for fast characterization (in this sense, they can be easily implemented by students and researchers), and as integrated circuits, using modern low-voltage low-power design techniques (in this case, specialist analog microelectronic researchers will find them useful). The primary audience of Analog CMOS Microelectronic Circuits are: analog circuit designers, sensor companies, Ph.D. students on analog microelectronics, undergraduate and postgraduate students in electronic engineering.

This book presents high-quality peer-reviewed papers from the International Conference on Electronics, Biomedical Engineering, and Health Informatics (ICEBEHI) 2022 held at Surabaya, Indonesia, virtually. The contents are broadly divided into three parts: (a) Electronics, (b) Biomedical Engineering, and (c) Health Informatics. The major focus is on emerging technologies and their applications in the domain of biomedical engineering. It includes papers based on original theoretical, practical, and experimental simulations, development, applications, measurements, and testing. Featuring the latest advances in the field of biomedical engineering applications, this book serves as a definitive reference resource for researchers, professors, and practitioners interested in exploring advanced techniques in the fields of electronics, biomedical engineering, and health informatics. The applications and solutions discussed here provide excellent reference material for future product development.

With contributions from an internationally-renowned group of experts, this book uses a multidisciplinary approach to review recent developments in the field of smart sensor systems, covering important system and design aspects. It examines topics over the whole range of sensor technology from the theory and constraints of basic elements, physics and electronics, up to the level of application-orientated issues. Developed as a complementary volume to ‘Smart Sensor Systems’ (Wiley 2008), which introduces the basics of smart sensor systems, this volume focuses on emerging sensing technologies and applications, including: State-of-the-art techniques for designing smart sensors and smart sensor systems, including measurement techniques at system level, such as dynamic error correction, calibration, self-calibration and trimming. Circuit design for sensor systems, such as the design of precision instrumentation amplifiers. Impedance sensors, and the associated measurement techniques and electronics, that measure electrical characteristics to derive physical and biomedical parameters, such as blood viscosity or growth of micro-organisms. Complete sensor systems-on-a-chip, such as CMOS optical imagers and microarrays for DNA detection, and the associated circuit and micro-fabrication techniques. Vibratory gyroscopes and the associated electronics, employing mechanical and electrical signal amplification to enable low-power angular-rate sensing. Implantable smart sensors for neural interfacing in bio-medical applications. Smart combinations of energy harvesters and energy-storage devices for autonomous wireless sensors. Smart Sensor Systems: Emerging Technologies and Applications will greatly benefit final-year undergraduate and postgraduate students in the areas of electrical, mechanical and chemical engineering, and physics. Professional engineers and researchers in the microelectronics industry, including microsystem developers, will also find this a thorough and useful volume.