Uncertainty Quantification of Electromagnetic Devices, Circuits, and Systems describes the advances made over the last decade in the topic of uncertainty quantification (UQ) and stochastic analysis. The primary goal of the book is to educate and inform electronics engineers about the most recent numerical techniques, mathematical theories, and computational methods to perform UQ for electromagnetic devices, circuits, and systems. Importantly, the book offers an in-depth exploration of the recent explosion in surrogate modelling (metamodeling) techniques for numerically efficient UQ. Metamodeling has currently become the most attractive, numerically efficient, and popular approach for UQ. The book begins by introducing the concept of uncertainty quantification in electromagnetic device, circuit, and system simulation. Further chapters cover the theory and applications of polynomial chaos based uncertainty quantification in electrical engineering; dimension reduction strategies to address the curse of dimensionality in polynomial chaos; a predictor-corrector algorithm for fast polynomial chaos based statistical modeling of carbon nanotube interconnects; machine learning approaches towards uncertainty quantification; artificial neural network-based yield optimization with uncertainties in EM structural parameters; exploring order reduction clustering methods for uncertainty quantification of electromagnetic composite structures; and mixed epistemic-aleatory uncertainty using a new polynomial chaos formulation combined with machine learning. A final chapter provides concluding remarks and explores potential future directions for research in the field. The book will be a welcome resource for advanced students and researchers in electromagnetics and applied mathematical modelling who are working on electronic circuit and device design.

Nanobiotechnology for Bioremediation: Fundamentals and Mechanisms provides detailed information on nanomaterial applications for the bioremediation of a heavily contaminated environment. Relevant information is provided on the application of nanofibers, nanoscale zero-valent iron (nZVI), nanocomposites, carbon nanotubes for rejuvenation of a heavy environment from different pollutants, such as heavy metals, chlorinated compounds, organic compounds, polyaromatic hydrocarbon, and hydrocarbons. The book also explores the application of nanomaterials as a sustainable green solution that help prevent various high levels of contamination in the environment. Each chapter addresses the application of nanomaterials as a sustainable tool for managing innumerable environmental challenges. This helps readers translate their research findings into sustainable innovations to resolve their immediate environmental challenges.

Advances in Imaging and Electron Physics, Volume 211, merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. The series features extended articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science, digital image processing, electromagnetic wave propagation, electron microscopy and the computing methods used in all these domains.

Photonic Crystal Metasurface Optoelectronics, Volume 101, covers an emerging area of nanophotonics that represents a new range of optoelectronic devices based on free-space coupled photonic crystal structures and dielectric metasurfaces. Sections in this new release include Free-space coupled nanophotonic platforms, Fano resonances in nanophotonics, Fano resonances in photonic crystal slabs, Transition from photonic crystals to dielectric metamaterials, Photonic crystals for absorption control and energy applications, Photonic crystal membrane reflector VCSELs, Fano resonance filters and modulators, and Fano resonance photonic crystal sensors.

This book is designed primarily as a laboratory operations manual for fundamental mechatronics and robotics experiential and project-based learning. It is also ordered in that starting with the Tricycle Robot, students build up their knowledge and experience of programming to be able to tackle the Rickshaw Robot and finally the most complex robot, i.e., the Hexapod Robot. The book is aimed at university and college students; however, with robotics curricula extending down into lower grades this book can also be very useful for teachers at any school level. Furthermore, the book provides useful ideas for driverless vehicles and robots, as well as for educators who are developing practical project-based teaching and learning modules. Readers of the book can easily modify the coding, computing language, and hardware to suit personal preferences.

Next Generation of CubeSats and SmallSats: Enabling Technologies, Missions, and Markets provides a comprehensive understanding of the small and medium sized satellite approach and its potentialities and limitations. The book analyzes promising applications (e.g., constellations and distributed systems, small science platforms that overachieve relative to their development time and cost) as paradigm-shifting solutions for space exploitation, with an analysis of market statistics and trends and a prediction of where the technologies, and consequently, the field is heading in the next decade. The book also provides a thorough analysis of CubeSat potentialities and applications, and addresses unique technical approaches and systems strategies. Throughout key sections (introduction and background, technology details, systems, applications, and future prospects), the book provides basic design tools scaled to the small satellite problem, assesses the technological state-of-the-art, and describes the most recent advancements with a look to the near future. This new book is for aerospace engineering professionals, advanced students, and designers seeking a broad view of the CubeSat world with a brief historical background, strategies, applications, mission scenarios, new challenges and upcoming advances.

Advances in Nonvolatile Memory and Storage Technology, Second Edition, addresses recent developments in the non-volatile memory spectrum, from fundamental understanding, to technological aspects. The book provides up-to-date information on the current memory technologies as related by leading experts in both academia and industry. To reflect the rapidly changing field, many new chapters have been included to feature the latest in RRAM technology, STT-RAM, memristors and more. The new edition describes the emerging technologies including oxide-based ferroelectric memories, MRAM technologies, and 3D memory. Finally, to further widen the discussion on the applications space, neuromorphic computing aspects have been included. This book is a key resource for postgraduate students and academic researchers in physics, materials science and electrical engineering. In addition, it will be a valuable tool for research and development managers concerned with electronics, semiconductors, nanotechnology, solid-state memories, magnetic materials, organic materials and portable electronic devices.

Ultra-wide Bandgap Semiconductors (UWBG) covers the most recent progress in UWBG materials, including sections on high-Al-content AlGaN, diamond, B-Ga2O3, and boron nitrides. The coverage of these materials is comprehensive, addressing materials growth, physics properties, doping, device design, fabrication and performance. The most relevant and important applications are covered, including power electronics, RF electronics and DUV optoelectronics. There is also a chapter on novel structures based on UWBG, such as the heterojunctions, the low-dimensional structures, and their devices. This book is ideal for materials scientists and engineers in academia and R&D searching for materials superior to silicon carbide and gallium nitride.

Short-range Wireless Communication, Third Edition, describes radio theory and applications for wireless communication with ranges of centimeters to hundreds of meters. Topics covered include radio wave propagation, the theory of antennas and transmission lines, architectures of transmitters, and radio system design guidelines as a function of basic communication parameters, such as sensitivity, noise and bandwidth. Topics new to this edition include MIMO, metamaterials, inductance coupling for loop antennas, very high throughput Wi-Fi specifications, Bluetooth Low Energy, expanded coverage of RFID, wireless security, location awareness, wireless sensor networks, Internet of Things, millimeter wave and optical short-range communications, body area networks, energy harvesting, and more. Engineers, programmers, technicians and sales management personnel who support short-range wireless products will find the book a comprehensive and highly readable source to boost on-the-job performance and satisfaction.

Advances in Imaging and Electron Physics, Volume 210, merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. The series features extended articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science, digital image processing, electromagnetic wave propagation, electron microscopy and the computing methods used in all these domains. Sections in this new release cover Electron energy loss spectroscopy at high energy losses, Examination of 2D Hexagonal Band Structure from a Nanoscale Perspective for use in Electronic Transport Devices, and more.

This book introduces advanced sparsity-driven models and methods and their applications in radar tasks such as detection, imaging and classification. Compressed sensing (CS) is one of the most active topics in the signal processing area. By exploiting and promoting the sparsity of the signals of interest, CS offers a new framework for reducing data without compromising the performance of signal recovery, or for enhancing resolution without increasing measurements. An introductory chapter outlines the fundamentals of sparse signal recovery. The following topics are then systematically and comprehensively addressed: hybrid greedy pursuit algorithms for enhancing radar imaging quality; two-level block sparsity model for multi-channel radar signals; parametric sparse representation for radar imaging with model uncertainty; Poisson-disk sampling for high-resolution and wide-swath SAR imaging; when advanced sparse models meet coarsely quantized radar data; sparsity-aware micro-Doppler analysis for radar target classification; and distributed detection of sparse signals in radar networks via locally most powerful test. Finally, a concluding chapter summarises key points from the preceding chapters and offers concise perspectives. The book focuses on how to apply the CS-based models and algorithms to solve practical problems in radar, for the radar and signal processing research communities.