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Comprehensive resource detailing the latest advances in microwave and wireless sensors implemented in planar technology Planar Microwave Sensors is an authoritative resource on the subject, discussing the main relevant sensing strategies, working principles, and applications on the basis of the authors’ own experience and background, while also highlighting the most relevant contributions to the topic reported by international research groups. The authors provide an overview of planar microwave sensors grouped by chapters according to their working principle. In each chapter, the working principle is explained in detail and the specific sensor design strategies are discussed, including validation examples at both simulation and experimental level. The most suited applications in each case are also reported. The necessary theory and analysis for sensor design are further provided, with special emphasis on performance improvement (i.e., sensitivity and resolution optimization, dynamic range, etc.). Lastly, the work covers a number of applications, from material characterization to biosensing, including motion control sensors, microfluidic sensors, industrial sensors, and more. Sample topics covered in the work include: Non-resonant and resonant sensors, reflective-mode and transmission-mode sensors, single-ended and differential sensors, and contact and contactless sensors Design guidelines for sensor performance optimization and analytical methods to retrieve the variables of interest from the measured sensor responses Radiofrequency identification (RFID) sensor types, prospective applications, and materials/technologies towards “green sensors” implementation Comparisons between different technologies for sensing and the advantages and limitations of microwave sensors, particularly planar sensors Engineers and qualified professionals involved in sensor technologies, along with undergraduate and graduate students in related programs of study, can harness the valuable information inside Planar Microwave Sensors to gain complete foundational knowledge on the subject and stay up to date on the latest research and developments in the field.

This book offers a comprehensive and timely review of planar microwave sensors based on coupled structures. Gathering chapters contributed by the most authoritative researchers on this topic, it presents various strategies for sensor performance optimization using coupled lines, directional couplers, and coupled resonators (either distributed or semi-lumped), focusing mainly on sensitivity optimization, and covering chains of coupled resonators as well. The book also reports on analytical methods, design formulas, sensor validation tests, with both simulation and experimental methods, describing some relevant practical applications. Mainly reflecting the research activity carried out by the different contributors in the last years, this book also includes two introductory chapters to help readers who are not very familiar with microwave sensing technologies and coupled structures. All in all, this book addresses advanced graduate students and researchers involved in microwave and sensor technologies, and may be of interest for engineers and professionals as well, working in areas as diverse as wireless sensors and sensor networks, biosensing, chemical sensing, motion control, microfluidics, Internet of Things (IoT), and smart systems.

This book presents an innovative concept for the realization of sensors based on a planar metamaterial microwave array and shows their application in biomedical analysis and treatment. The sensors are able to transduce the dielectric properties of materials in their direct vicinity into an electric signal. The specific array organization permits a simultaneous analysis of several materials using a single readout signal or a relative characterization of one material where information about its spatial distribution can be extracted. Two applications of the designed sensors are described here: the first is a cytological screening using micro fluidic technology, which shows that the sensors may be integrated into lab-on-chip technologies; the second application regards the use of the sensor in both the analysis and treatment of organic tissues. The developed sensor is able not only to screen the tissues for abnormalities, but also, by changing the applied signals, to perform thermal ablation and treat the abnormalities in a highly focused way. Thus, the research described in this book represents a considerable advancement in the field of biomedical microwave sensing.

Sensor technologies are a rapidly growing area of interest in science and product design, embracing developments in electronics, photonics, mechanics, chemistry, and biology. Their presence is widespread in everyday life, where they are used to sense sound, movement, and optical or magnetic signals. The demand for portable and lightweight sensors is relentless in several industries, from consumer electronics to biomedical engineering to the military. Smart Sensors for Industrial Applications brings together the latest research in smart sensors technology and exposes the reader to myriad applications that this technology has enabled. Organized into five parts, the book explores: Photonics and optoelectronics sensors, including developments in optical fibers, Brillouin detection, and Doppler effect analysis. Chapters also look at key applications such as oxygen detection, directional discrimination, and optical sensing. Infrared and thermal sensors, such as Bragg gratings, thin films, and microbolometers. Contributors also cover temperature measurements in industrial conditions, including sensing inside explosions. Magnetic and inductive sensors, including magnetometers, inductive coupling, and ferro-fluidics. The book also discusses magnetic field and inductive current measurements in various industrial conditions, such as on airplanes. Sound and ultrasound sensors, including underwater acoustic modem, vibrational spectroscopy, and photoacoustics. Piezoresistive, wireless, and electrical sensors, with applications in health monitoring, agrofood, and other industries. Featuring contributions by experts from around the world, this book offers a comprehensive review of the groundbreaking technologies and the latest applications and trends in the field of smart sensors.

Covering a wide range of application areas, from wireless communications and navigation, to sensors and radar, this practical resource offers you the first comprehensive, multidisciplinary overview of radio engineering. You learn important techniques to help you with the generation, control, detection and utilization of radio waves, and find detailed guidance in radio link, amplifier, and antenna design. The book approaches relevant problems from both electromagnetic theory based on MaxwellOCOs equations and circuit theory based on KirchoffOCOs and OhmOCOs laws, including brief introductions to each theory."

This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, big data processing, hierarchical deep learning networks as game-playing artefacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique that combines class of learning algorithms with the use of many layers of nonlinear units, has gained considerable attention in recent times. Unlike other books on the market, this volume addresses the challenges of deep learning implementation, computation time, and the complexity of reasoning and modeling different type of data. As such, it is a valuable and comprehensive resource for engineers, researchers, graduate students and Ph.D. scholars.

Volume is indexed by Thomson Reuters CPCI-S (WoS). The papers of this 4 volumes set on "Sensors, Measurement and Intelligent Materials" are grouped as follows: Chapter 1: Intelligent Materials and Structures; Chapter 2: Sensors; Chapter 3: Techniques for Measurement, Detection and Monitoring; Chapter 4: Data Acquisition, Data Mining and Data Processing; Chapter 5: Automation and Control. Technologies and Engineering; Chapter 6: Intelligent System; Chapter 7: Mechatronics; Chapter 8: Microelectronics, Electronics and Electrical. Circuits and Devices; Chapter 9: Network Engineering and Communication Technology; Chapter 10: Applied Computing and Information Technologies; Chapter 11: Materials and Processing Technologies; Chapter 12: Applied Mechanics in General Mechanical Engineering and Construction.

Diversos especialistas internacionales exponen las aplicaciones de sensores de fibra óptica en campos tan diversos como la ingeniería civil, energía nuclear, medio ambiente...