Renewable Polymers and Polymer-Metal Oxide Composites: Synthesis, Properties, and Applications serves as a reference on the key concepts of the advances of polymer-oxide composites. The book reviews knowledge on polymer-composite theory, properties, structure, synthesis, and their characterization and applications. There is an emphasis on coupling metal oxides with polymers from renewable sources. Also, the latest advances in the relationship between the microstructure of the composites and the resulting improvement of the material's properties and performance are covered. The applications addressed include desalination, tissue engineering, energy storage, hybrid energy systems, food, and agriculture. This book is suitable for early-career researchers in academia and R&D in industry who are working in the disciplines of materials science, engineering, chemistry and physics.

BSIM-Bulk Mosfet Model for Wireless and Mixed-Mode ICs provides in-depth knowledge of the internal operation of the model. The authors not only discuss the fundamental core of the model, but also provide details of the recent developments and new real-device effect models. In addition, the book covers the parameter extraction procedures, addressing geometrical scaling, temperatures, and more. There is also a dedicated chapter on extensive quality testing procedures and experimental results. This book discusses every aspect of the model in detail, and hence will be of significant use for the industry and academia. Those working in the semiconductor industry often run into a variety of problems like model non-convergence or non-physical simulation results. This is largely due to a limited understanding of the internal operations of the model as literature and technical manuals are insufficient. This also creates huge difficulty in developing their own IP models. Similarly, circuit designers and researcher across the globe need to know new features available to them so that the circuits can be more efficiently designed.

Bionanocatalysis: From Design to Applications discusses recent advances in nano-biocatalysis, fundamental design concepts and their applications in a variety of industry sectors. Strategies for immobilizing enzymes onto nanocarriers, made from polymers, silicas, carbons, and metals, by physical adsorption, covalent binding, cross-linking, or specific ligand spacers are also discussed as are the advantages, problems and solutions derived from the use of non-porous nanomaterials for enzyme immobilization. This is an important reference source for materials scientists and chemical engineers who would like to learn more about how nanobiocatalysts are designed and used. Biocatalysis has emerged as a sustainable technique to synthesize valuable commodity chemicals with wide applications in various industrial domains, such as in agriculture, cosmetics, pharmaceuticals, biofuels, biosensors, biofuel cells, biochemicals, and foods. The synergistic integration of bio-catalysis engineering with nanostructured materials, as unique multifunctional carrier matrices, has emerged as a new interface of nano-biocatalysis (NBC).

Zeroing Neural Networks Describes the theoretical and practical aspects of finite-time ZNN methods for solving an array of computational problems Zeroing Neural Networks (ZNN) have become essential tools for solving discretized sensor-driven time-varying matrix problems in engineering, control theory, and on-chip applications for robots. Building on the original ZNN model, finite-time zeroing neural networks (FTZNN) enable efficient, accurate, and predictive real-time computations. Setting up discretized FTZNN algorithms for different time-varying matrix problems requires distinct steps. Zeroing Neural Networks provides in-depth information on the finite-time convergence of ZNN models in solving computational problems. Divided into eight parts, this comprehensive resource covers modeling methods, theoretical analysis, computer simulations, nonlinear activation functions, and more. Each part focuses on a specific type of time-varying computational problem, such as the application of FTZNN to the Lyapunov equation, linear matrix equation, and matrix inversion. Throughout the book, tables explain the performance of different models, while numerous illustrative examples clarify the advantages of each FTZNN method. In addition, the book: Describes how to design, analyze, and apply FTZNN models for solving computational problems Presents multiple FTZNN models for solving time-varying computational problems Details the noise-tolerance of FTZNN models to maximize the adaptability of FTZNN models to complex environments Includes an introduction, problem description, design scheme, theoretical analysis, illustrative verification, application, and summary in every chapter Zeroing Neural Networks: Finite-time Convergence Design, Analysis and Applications is an essential resource for scientists, researchers, academic lecturers, and postgraduates in the field, as well as a valuable reference for engineers and other practitioners working in neurocomputing and intelligent control.

Machine Learning for Future Fiber-Optic Communication Systems provides a comprehensive and in-depth treatment of machine learning concepts and techniques applied to key areas within optical communications and networking, reflecting the state-of-the-art research and industrial practices. The book gives knowledge and insights into the role machine learning-based mechanisms will soon play in the future realization of intelligent optical network infrastructures that can manage and monitor themselves, diagnose and resolve problems, and provide intelligent and efficient services to the end users. With up-to-date coverage and extensive treatment of various important topics related to machine learning for fiber-optic communication systems, this book is an invaluable reference for photonics researchers and engineers. It is also a very suitable text for graduate students interested in ML-based signal processing and networking.

Artificial Intelligence and Data Science in Environmental Sensing provides state-of-the-art information on the inexpensive mass-produced sensors that are used as inputs to artificial intelligence systems. The book discusses the advances of AI and Machine Learning technologies in material design for environmental areas. It is an excellent resource for researchers and professionals who work in the field of data processing, artificial intelligence sensors and environmental applications.

Advances in Nanotechnology for Marine Antifouling surveys the latest research in the application of nanotechnology for biofouling inhibition. The book gathers in-depth information on the various micro and nano-techniques, nanocoatings, polymeric composites paints, methods of application and prevention mechanisms. This is a valuable resource for researchers and advanced students across anti-biofouling, nanotechnology, nanomaterials, polymer nanocomposites, coatings, maritime technology, chemistry, chemical engineering, environmental science, and materials science and engineering. This is also essential reading for industrial scientists, engineers, R&D, and other professionals with an interest in the use of nanotechnology for antifouling, particularly in the maritime sector. Nanotechnologies have been recognized as a powerful tool in antifouling strategies with nanocoatings with efficient properties enabling increased durability and performance in the prevention of biofouling and corrosion while replacing potentially more harmful chemicals.

Robotics for Cell Manipulation and Characterization provides fundamental principles underpinning robotic cell manipulation and characterization, state-of-the-art technical advances in micro/nano robotics, new discoveries of cell biology enabled by robotic systems, and their applications in clinical diagnosis and treatment. This book covers several areas, including robotics, control, computer vision, biomedical engineering and life sciences using understandable figures and tables to enhance readers' comprehension and pinpoint challenges and opportunities for biological and biomedical research.

Advances in Nonlinear Photonics combines fundamental principles with an overview of the latest developments. The book is suitable for the multidisciplinary audience of photonics researchers and practitioners in academia and R&D, including materials scientists and engineers, applied physicists, chemists, etc. As nonlinear phenomena are at the core of photonic devices and may enable future applications such as all-optical switching, all-optical signal processing and quantum photonics, this book provides an overview of key concepts. In addition, the book reviews the most important advances in the field and how nonlinear processes may be exploited in different photonic applications.

Light, Plasmonics and Particles focuses on the fundamental science and engineering applications of light scattering by particles, aerosols and hydrosols, and of localized plasmonics. The book is intended to be a self-contained and coherent resource volume for graduate students and professionals in the disciplines of materials science, engineering and related disciplines of physics and chemistry. In addition to chapters related to fundamental concepts, it includes detailed discussion of different numerical models, experimental systems and applications. In order to develop new devices, processes and applications, we need to advance our understanding of light-matter interactions. For this purpose, we need to have a firm grasp of electromagnetic wave phenomena, and absorption and scattering of waves by different size and shape geometrical objects. In addition, understanding of tunneling of waves based on electron and lattice vibrations and coupling with the thermal fluctuations to enhance near-field energy transfer mechanisms are required for the development of future energy harvesting devices and sensors.

Authoritative reference on the state of the art in the field with additional coverage of important foundational concepts Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning presents cutting-edge research advances in the rapidly growing areas in optical and RF electromagnetic device modeling, simulation, and inverse-design. The text provides a comprehensive treatment of the field on subjects ranging from fundamental theoretical principles and new technological developments to state-of-the-art device design, as well as examples encompassing a wide range of related sub-areas. The content of the book covers all-dielectric and metallodielectric optical metasurface deep learning-accelerated inverse-design, deep neural networks for inverse scattering, applications of deep learning for advanced antenna design, and other related topics. To aid in reader comprehension, each chapter contains 10-15 illustrations, including prototype photos, line graphs, and electric field plots. Contributed to by leading research groups in the field, sample topics covered in Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning include: Optical and photonic design, including generative machine learning for photonic design and inverse design of electromagnetic systems RF and antenna design, including artificial neural networks for parametric electromagnetic modeling and optimization and analysis of uniform and non-uniform antenna arrays Inverse scattering, target classification, and other applications, including deep learning for high contrast inverse scattering of electrically large structures Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning is a must-have resource on the topic for university faculty, graduate students, and engineers within the fields of electromagnetics, wireless communications, antenna/RF design, and photonics, as well as researchers at large defense contractors and government laboratories.

Understand a new way to model power systems with this comprehensive and practical guide Graph databases have become one of the essential tools for managing large data systems. Their structure improves over traditional table-based relational databases in that it reconciles more closely to the inherent physics of a power system, enabling it to model the components and the network of a power system in an organic way. The authors’ pioneering research has demonstrated the effectiveness and the potential of graph data management and graph computing to transform power system analysis. Graph Database and Graph Computing for Power System Analysis presents a comprehensive and accessible introduction to this research and its emerging applications. Programs and applications conventionally modeled for traditional relational databases are reconceived here to incorporate graph computing. The result is a detailed guide which demonstrates the utility and flexibility of this cutting-edge technology. The book’s readers will also find: Design configurations for a graph-based program to solve linear equations, differential equations, optimization problems, and more Detailed demonstrations of graph-based topology analysis, state estimation, power flow analysis, security-constrained economic dispatch, automatic generation control, small-signal stability, transient stability, and other concepts, analysis, and applications An authorial team with decades of experience in software design and power systems analysis Graph Database and Graph Computing for Power System Analysis is essential for researchers and academics in power systems analysis and energy-related fields, as well as for advanced graduate students looking to understand this particular set of technologies.

Polymers in Electronics: Optoelectronic Properties, Design, Fabrication, and Applications brings together the fundamentals and latest advances in polymeric materials for electronic device applications, supporting researchers, scientists and advanced students, and approaching the topic from a range of disciplines. The book begins by introducing polymeric materials, their dielectric, optical, and thermal properties, and the essential principles and techniques for polymers as applied to electronics. This is followed by detailed coverage of the key steps in the preparation of polymeric materials for opto-electronic devices, including fabrication methods, materials design, rheology, encapsulation, and conductive polymer mechanisms. The final part of the book focuses on the latest developments in advanced devices, covering the areas of photovoltaics, transistors, light-emitting diodes, and stretchable electronics. In addition, it explains mechanisms, design, fabrication techniques, and end applications. This is a highly valuable resource for researchers, advanced students, engineers and R&D professionals from a range of disciplines.

Every bit of information that circulates the internet across the globe is a pulse of light, that at some point will need to be converted to an electric signal in order to be processed by the electronic circuitry in our data centers, computers, and cell phones. Photodetectors (PD's) perform this conversion with ultra high speed and efficiency, in addition to being ubiquitously present in many other devices ranging from the mundane TV remote controls, to ultra high resolution instrumentation used in Laser Interferometer Gravitational Wave Observatory (LIGO) that reach the edge of the universe and measure gravitational waves. The second edition of "Photodetectors" fully updates the popular first edition with updated information covering the state-of-the-art in modern photodetectors. The 2nd edition starts with basic metrology of photodetectors and common figures-of-merit to compare various devices. It follows with chapters that discuss single-photon detection with Avalanche Photodiodes; organic photodetectors that can be inkjet printed; and silicon-germanium PDs popular in burgeoning field of Silicon Photonics. Internationally recognized experts contribute chapters on one-dimensional, nanowire, PDs as well as high speed zero-dimensional, quantum dot, versions that increase the spectral span as well as speed and sensitivity of PDs and can be produced on various substrates. Solar-blind PDs that operate in harsh environments such as deep space, or rocket engines, are reviewed and new devices in GaN technology . Novel Plasmonic PDs, as well as devices which employ micro-plasma of confined charge in order to make devices that overcome speed limitation of transfer of electronic charge, are covered in other chapters. Using different, novel technologies, CMOS compatible devices are described in two chapters, and ultra high speed PDs that use low-temperature-grown GaAs (LT-GaAs) to detect fast THz signals are reviewed in another chapter. Photodetectors used in application areas of Silicon-Photonics and Microwave-Photonics are reviewed in final chapters of this book. All chapters are of a review nature, providing a perspective of the field before concentrating on particular advancements. As such, the book should appeal to a wide audience that ranges from those with general interest in the topic, to practitioners, graduate students and experts who are interested in the state-of-the-art in photodetection.

Graphene Quantum Dots: Biomedical and Environmental Sustainability Applications provides an overview of fundamentals and advances in applications of graphene quantum dots. Concepts covered include a brief introduction on the topic, an overview of structure and chemistry, fundamental properties of different characterization techniques, methods for the preparation of graphene quantum dots, and recent and emerging applications in various fields including antimicrobial therapy, bioimaging, biomedical tools development and clean energy for environmental sustainability. The book is a critical resource in materials selection for biomedical and environmental sustainability applications as well as various advanced imaging, disinfectant and environmental remediation technologies. As such, it is suitable for those in academia working in the discipline of materials science and engineering and practitioners working on biomedical tool development and environmental remediation.

ADCS - Spacecraft Attitude Determination and Control provides a complete introduction to spacecraft control. The book covers all elements of attitude control system design, including kinematics, dynamics, orbits, disturbances, actuators, sensors, and mission operations. Essential hardware details are provided for star cameras, reaction wheels, sun sensors, and other key components. The book explores how to design a control system for a spacecraft, control theory, and actuator and sensor details. Examples are drawn from the author’s 40 years of industrial experience with spacecraft such as GGS, GPS IIR, Mars Observer, and commercial communications satellites, and includes historical background and real-life examples.

New technological innovations have given birth to paradigms such as robotization, increased and advanced mechanization, and dehumanization of public diplomacy around the world. Other related developments have been the acceleration and growing popularization of the smart city concept as well as the COVID-19 pandemic, which have all combined to compel almost all major industries-including diplomacy-to shift online and to be revolutionized. The COVID-19 Pandemic and the Digitalization of Diplomacy explores the influences of the new ICTs, AI, and smart cultures on the conduct of public diplomacy. It further examines the impact of the COVID-19 pandemic on the conduct of digital diplomacy in the world and analyzes the implications of the dynamics of ICTs and AI for teaching and research in digital diplomacy. Covering topics such as defense diplomacy, the fourth industrial revolution, and technological determinism, this premier reference source is an essential resource for diplomats, politicians, government officials, ICT developers, students and educators of higher education, librarians, researchers, and academicians.

Nanotechnology for Advanced Biofuels: Fundamentals and Applications highlights emerging techniques for the formulation of fuels using nanotechnology and bio-based concepts. The addition of high-energy nanoparticles and biologically derived molecules in liquid fuel can increase the potential of energy-rich compounds. Key challenges in the production of nanotechnology-based fuels and their combustion or ignition during the operation are covered, along with the emission of oxidized particles and by-products of incomplete combustion and nano-fuels as an emerging field. The bio-based energy-rich fuels are largely diffused in conventionally used fuels. The addition of biofuels and nano-additives to pre-existing fuels can offer opportunities for developing modified fuels in domestic industries with the maximum usage of renewable biomass. This is an important reference source for materials scientists, energy scientists and chemical engineers who want to understand more about how nanotechnology can help create more efficient biofuels.

Power Ultrasonics: Applications of High-Intensity Ultrasound, Second Edition provides a comprehensive reference on the fundamentals, processing, engineering, medical, food and pharmaceutical applications of ultrasonic processing. Chapters cover the fundamentals of nonlinear propagation of ultrasonic waves in fluids and solids, discuss the materials and designs of power ultrasonic transducers and devices, identify applications of high power ultrasound in materials engineering and mechanical engineering, food processing technology, environmental monitoring and remediation and industrial and chemical processing (including pharmaceuticals), medicine and biotechnology, and cover developments in ultrasound therapy and surgery applications. The new edition also includes recent advances in modeling, characterization and measurement techniques, along with additive manufacturing and micromanufacturing. This is an invaluable reference for graduate students and researchers working in the disciplines of materials science and engineering. In addition, those working on the physics of acoustics, sound and ultrasound, sonochemistry, acoustic engineering and industrial process technology, R&D managers, production, and biomedical engineers will find it useful to their work.

Hybrid Nanomaterials for Sustainable Applications: Case Studies and Applications brings together the latest advances in hybrid nanocomposites and their diverse applications for improved sustainability. The book begins by introducing hybrid nanomaterials, synthesis strategies, and approaches to production for engineering applications. Subsequent sections provide chapters on key application areas, including water purification, nanobiotechnologies, energy storage, and biomedicine, presenting approaches for sustainable application for each usage. Throughout the book, key challenges are addressed, with case studies used to support implementation and improve end applications. This is a valuable resource for researchers and advanced students in nanotechnology, polymer science, sustainable materials, chemistry, chemical engineering, environmental science, and materials engineering, as well as industrial scientists, engineers, and R&D professionals with an interest in hybrid nanomaterials for a range of applications.

Advances in Imaging and Electron Physics, Volume 226 merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. Chapters in this release cover Characterization of nanomaterials properties using FE-TEM, Cold field-emission electron sources: From higher brightness to ultrafast beams, Every electron counts: Towards the development of aberration optimized and aberration corrected electron sources, and more. The series features 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.

Advanced Methods and Deep Learning in Computer Vision presents advanced computer vision methods, emphasizing machine and deep learning techniques that have emerged during the past 5-10 years. The book provides clear explanations of principles and algorithms supported with applications. Topics covered include machine learning, deep learning networks, generative adversarial networks, deep reinforcement learning, self-supervised learning, extraction of robust features, object detection, semantic segmentation, linguistic descriptions of images, visual search, visual tracking, 3D shape retrieval, image inpainting, novelty and anomaly detection. This book provides easy learning for researchers and practitioners of advanced computer vision methods, but it is also suitable as a textbook for a second course on computer vision and deep learning for advanced undergraduates and graduate students.

Metal Oxide-based Nanofibers and their Applications provides an in-depth overview on developments surrounding the synthesis, characterization properties, and applications achieved by scientific leaders in the area. Sections deal with the theoretical and experimental aspects of the synthesis and methodologies to control microstructure, composition and shape of the nanofibrous metal oxides, review the applications of metal oxide nanofibers in diverse technologies, with special focus on the relation between the structural, morphological and compositional features of the nanofibers, cover applications of metal oxide nanofibers in the fields of sensing (biosensing, gas sensing), and consider biomedical and cleaning technologies. Lastly, a final section covers their application in energy generation and storage technologies (e. g. piezoelectric, solar cells, solid oxide fuel cells, lithium-ion batteries, supercapacitors, and hydrogen storage are reviewed.

Biodegradable and Biocompatible Polymer Nanocomposites: Processing, Characterization, and Applications brings together the latest research, highlighting cutting-edge applications in this exciting field. Sections introduce biodegradable and biocompatible polymers and the fundamentals regarding synthesis, structure, properties, biocompatibility and biodegradability, provide in-depth coverage of methods and techniques for processing, spectroscopic and microscopic analysis, dielectric, thermal, and electrical conductivity, and incorporation of functionalized nanoparticles, and green synthesized nanoparticles. The second part of the book guides the reader through the properties and preparation of biodegradable and biocompatible polymer nanocomposites for a range of specific, targeted, state-of-the-art applications across biomedicine, electronic, energy storage, environment and packaging. Finally, sustainability assessment, environmental impact, and recycling strategies are discussed in detail.

Studies on integer optimization in emergency management have attracted engineers and scientists from various disciplines such as management, mathematics, computer science, and other fields. Although there are a large number of literature reports on integer planning and emergency events, few books systematically explain the combination of the two. Researchers need a clear and thorough presentation of the theory and application of integer programming methods for emergency management. Integer Optimization and its Computation in Emergency Management investigates the computation theory of integer optimization, developing integer programming methods for emergency management and explores related practical applications. Pursuing a holistic approach, this book establishes a fundamental framework for this topic, intended for graduate students who are interested in operations research and optimization, researchers investigating emergency management, and algorithm design engineers working on integer programming or other optimization applications.