Sustainable Strategies in Organic Electronics reviews green materials and devices, sustainable processes in electronics, and the reuse, recycling and degradation of devices. Topics addressed include large-scale synthesis and fabrication of safe device materials processes that neither use toxic reagents, solvents or produce toxic by-products. Emerging opportunities such as new synthetic approaches for enabling the commercialization of pi-conjugated polymer-based devices are explored, along with new efforts towards incorporating materials from renewable resources for a low carbon footprint. Finally, the book discusses the latest advances towards device biodegradability and recycling. It is suitable for materials scientists and engineers, chemists, physicists in academia and industry.

PEDOT is currently the most widely used polymeric material in research and development. Over the past 10 years, PEDOT has been investigated for potential organic thermoelectric applications because of its superior thermoelectric and mechanical properties compared with other conductive polymers. However, many challenges remain to be solved before it is translated into key technologies. Advanced PEDOT Thermoelectric Materials summarizes current progress and the challenges of PEDOT thermoelectric materials, while clarifying directions for future development. This book provides a comprehensive overview of chemical, physical, and technical information about this organic thermoelectric polymer. The authors also give details about the theoretical basis of PEDOT, including preparation and characterization, and its development as a high-performance thermoelectric material.

Metal Oxide-Carbon Hybrid Materials: Synthesis, Properties and Applications reviews the advances in the fabrication and application of metal oxide-carbon-based nanocomposite materials. Their unique properties make them ideal materials for gas-sensing, photonics, catalysis, opto-electronic, and energy-storage applications. In the first section, the historical background to the hybrid materials based on metal oxide-carbon and the hybridized metal oxide composites is provided. It also highlights several popular methods for the preparation of metal oxide-carbon composites through solid-state or solution-phase reactions, and extensively discusses the materials' properties. Fossil fuels and renewable energy sources cannot meet the ever-increasing energy demands of an industrialized and technology-driven global society. Therefore, the role of metal oxide-carbon composites in energy generation, hydrogen production, and storage devices, such as rechargeable batteries and supercapacitors, is of extreme importance. These problems are discussed in in the second section of the book. Rapid industrialization has resulted in serious environmental issues which in turn have caused serious health problems that require the immediate attention of researchers. In the third section, the use of metal oxide-carbon composites in water purification, photodegradation of industrial contaminants, and biomedical applications that can help to clean the environment and provide better healthcare solutions is described. The final section is devoted to the consideration of problems associated with the development of sensors for various applications. Numerous studies performed in this area have shown that the use of composites can significantly improve the operating parameters of such devices. Metal Oxide-Carbon Hybrid Materials: Synthesis, Properties and Applications presents a comprehensive review of the science related to metal oxide-carbon composites and how researchers are utilizing these materials to provide solutions to a large array of problems.

Organic Ferroelectric Materials and Applications aims to bring an up-to date account of the field with discussion of recent findings. This book presents an interdisciplinary resource for scientists from both academia and industry on the science and applications of molecular organic piezo- and ferroelectric materials. The book addresses the fundamental science of ferroelectric polymers, molecular crystals, supramolecular networks, and other key and emerging organic materials systems. It touches on important processing and characterization methods and provides an overview of current and emerging applications of organic piezoelectrics and ferroelectrics for electronics, sensors, energy harvesting, and biomedical technologies. Organic Ferroelectric Materials and Applications will be of special interest to those in academia or industry working in materials science, engineering, chemistry, and physics.

Principles of Electron Optics: Second Edition, Advanced Wave Optics provides a self-contained, modern account of electron optical phenomena with the Dirac or Schroedinger equation as a starting point. Knowledge of this branch of the subject is essential to understanding electron propagation in electron microscopes, electron holography and coherence. Sections in this new release include, Electron Interactions in Thin Specimens, Digital Image Processing, Acquisition, Sampling and Coding, Enhancement, Linear Restoration, Nonlinear Restoration - the Phase Problem, Three-dimensional Reconstruction, Image Analysis, Instrument Control, Vortex Beams, The Quantum Electron Microscope, and much more.

Metal Oxides for Optoelectronics and Optics-based Medical Applications reviews recent advances in metal oxides and their mechanisms for optoelectronic, photoluminescent and medical applications. In addition, the book examines the integration of key chemistry concepts with nanoelectronics that can improve performance in a diverse range of applications. Sections place a strong emphasis on synthesis processes that can improve the metal oxides' physical properties and the reflected surface chemical changes that can impact their performance in various devices like light-emitting diodes, luminescence materials, solar cells, etc. Finally, the book discusses the challenges associated with the handling and maintenance of metal oxides crystalline properties. This book will be suitable for academics and those working in R&D in industry looking to learn more about cheaper and more effective methods to produce metal oxides for use in the fields of electronics, photonics, biophotonics and engineering.

Merging Optimization and Control in Power Systems A novel exploration of distributed control in power systems with insightful discussions of physical and cyber restrictions In Merging Optimization and Control in Power Systems an accomplished team of engineers deliver a comprehensive introduction to distributed optimal control in power systems. The book re-imagines control design within the framework of cyber-physical systems with restrictions in both the physical and cyber spaces, addressing operational constraints, non-smooth objective functions, rapid power fluctuations caused by renewable generations, partial control coverage, communication delays, and non-identical sampling rates. This book bridges the gap between optimization and control in two ways. First, optimization-based feedback control is explored. The authors describe feedback controllers which automatically drive system states asymptotically to specific, desired optimal working points. Second, the book discusses feedback-based optimization. Leveraging the philosophy of feedback control, the authors envision the online solving of complicated optimization and control problems of power systems to adapt to time-varying environments. Readers will also find: A thorough argument against the traditional and centralized hierarchy of power system control in favor of the merged approach described in the book Comprehensive explorations of the fundamental changes gripping the power system today, including the increasing penetration of renewable and distributed generation, the proliferation of electric vehicles, and increases in load demand Data, tables, illustrations, and case studies covering realistic power systems and experiments In-depth examinations of physical and cyber restrictions, as well as the robustness and adaptability of the proposed model Perfect for postgraduate students and researchers with the prerequisite knowledge of power system analysis, operation, and dynamics, convex optimization theory, and control theory, Merging Optimization and Control in Power Systems is an advanced and timely treatment of distributed optimal controller design.

Thermally Activated Delayed Fluorescence Organic Light-Emitting Diodes (TADF-OLEDs) comprehensively introduces the history of TADF, along with a review of fundamental concepts. Then, TADF emitters with different colors, such as blue, green, red and NIR as well as white OLEDs are discussed in detail. Other sections cover exciplex-type TADF materials, emerging application of TADF emitters as a host in OLEDs, and applications of TADF materials in organic lasers and biosensing.

Functional Materials Processing for Switchable Device Modulation focuses on the advances of nanofabrication that underpin emerging technologies, including electronic devices. The book provides readers with a broad view of the materials' perspectives, including historical context and background, along with future opportunities for smart electronic and switchable devices. A major focus in the book is on the research and development of synthetic materials for spectroscopic analysis which broadly deals with science and technology of materials on the atomic and molecular scale. The book reviews the materials and advances in research for switchable electronics for bioelectronic, sensing and optoelectronic applications. In addition, key challenges and emerging opportunities in innovations in surface modification and novel functional materials device implementation for industrial scale reproducibility are discussed. The book covers the applications and market potential for a variety of media, including mirrors, glazing/coatings, and display products. The physics, electrochemistry, device design and materials are detailed, with performance compared between the most relevant and emerging switchable technologies.

Functionalized Nanomaterial-Based Electrochemical Sensors: Principles, Fabrication Methods, and Applications provides a comprehensive overview of materials, functionalized interfaces, fabrication strategies and application areas. Special attention is given to the remaining challenges and opportunities for commercial realization of functionalized nanomaterial-based electrochemical sensors. An assortment of nanomaterials has been investigated for their incorporation into electrochemical sensors. For example, carbon- based nanomaterials (carbon nanotube, graphene and carbon fiber), noble metals (Au, Ag and Pt), polymers (nafion, polypyrrole) and non-noble metal oxides (Fe2O3, NiO, and Co3O4). The most relevant materials are discussed in the book with an emphasis on their evaluation of their realization in commercial applications. Application areas touched on include the environment, food and medicine industries. Health, safety and regulation considerations are touched on, along with economic and commercialization trends.

Authoritative resource providing step-by-step guidance for producing reliable software to be tailored for specific projects Software Reliability Techniques for Real-World Applications is a practical, up to date, go-to source that can be referenced repeatedly to efficiently prevent software defects, find and correct defects if they occur, and create a higher level of confidence in software products. From content development to software support and maintenance, the author creates a depiction of each phase in a project such as design and coding, operation and maintenance, management, product production, and concept development and describes the activities and products needed for each. Software Reliability Techniques for Real-World Applications introduces clear ways to understand each process of software reliability and explains how it can be managed effectively and reliably. The book is supported by a plethora of detailed examples and systematic approaches, covering analogies between hardware and software reliability to ensure a clear understanding. Overall, this book helps readers create a higher level of confidence in software products. In Software Reliability Techniques for Real-World Applications, readers will find specific information on: Defects, including where defects enter the project system, effects, detection, and causes of defects, and how to handle defects Project phases, including concept development and planning, requirements and interfaces, design and coding, and integration, verification, and validation Roadmap and practical guidelines, including at the start of a project, as a member of an organization, and how to handle troubled projects Techniques, including an introduction to techniques in general, plus techniques by organization (systems engineering, software, and reliability engineering) Software Reliability Techniques for Real-World Applications is a practical text on software reliability, providing over sixty-five different techniques and step-by-step guidance for producing reliable software. It is an essential and complete resource on the subject for software developers, software maintainers, and producers of software.

The latest advances in several emerging technologies such as AI, blockchain, privacy-preserving algorithms used in localization and positioning systems, cloud computing and computer vision all have great potential in facilitating social distancing. Benefits range from supporting people to work from home to monitoring micro- and macro- movements such as contact tracing apps using Bluetooth, tracking the movement and transportation level of a city and wireless positioning systems to help people keep a safe distance by alerting them when they are too close to each other or to avoid congestion. However, implementing such technologies in practical scenarios still faces various challenges. This book aims to lay the foundations of how these technologies could be adopted to realize and facilitate social distancing to better manage pandemics and future outbreaks. Starting with basic concepts, models and practical technology-based social distancing scenarios, the authors present enabling wireless technologies and solutions which could be widely adopted to encourage social distancing. They include symptom prediction, detection and monitoring of quarantined people and contact tracing. In the future, smart infrastructures for next-generation wireless systems should incorporate a pandemic mode in their standard architecture and design.

In recent decades, there has been a groundbreaking evolution in technology. Every year, technology not only advances, but it also spreads throughout industries. Many fields such as law, education, business, engineering, and more have adopted these advanced technologies into their toolset. These technologies have a vastly different effect ranging from these different industries. The Handbook of Research on Applying Emerging Technologies Across Multiple Disciplines examines how technologies impact many different areas of knowledge. This book combines a solid theoretical approach with many practical applications of new technologies within many disciplines. Covering topics such as computer-supported collaborative learning, machine learning algorithms, and blockchain, this text is essential for technologists, IT specialists, programmers, computer scientists, engineers, managers, administrators, academicians, students, policymakers, and researchers.

This book provides a comprehensive resource and thorough treatment in the latest development of Digital RF Memory (DRFM) technology and their key role in maintaining dominance over the electromagnetic spectrum. Part I discusses the use of advanced technology to design transceivers for spectrum sensing using unmanned systems to dominate the electromagnetic spectrum. Part II uses artificial intelligence and machine learning to enable modern spectrum sensing and detection signal processing for electronic support and electronic attack. Another key contribution is examination of counter-DRFM techniques. DRFM and transceiver design details and examples are provided along with the MATLAB software allowing the reader to construct their own embedded DRFM transceivers for unmanned systems. It examines the design trade-offs in developing multiple, structured, false target synthesis DRFM architectures and aids in developing counter-DRFM techniques and distinguish false target from real ones. Written by an expert in the field, and including MATLAB (TM) design software, this is the only comprehensive book written on the subject of DRFM.

In its second, extensively revised second edition, Semiconducting Silicon Nanowires for Biomedical Applications reviews the fabrication, properties, and biomedical applications of this key material. The book begins by reviewing the basics of growth, characterization, biocompatibility, and surface modification of semiconducting silicon nanowires. Attention then turns to use of these structures for tissue engineering and delivery applications, followed by detection and sensing. Reflecting the evolution of this multidisciplinary subject, several new key topics are highlighted, including our understanding of the cell-nanowire interface, latest advances in associated morphologies (including silicon nanoneedles and nanotubes for therapeutic delivery), and significantly, the status of silicon nanowire commercialization in biotechnology. Semiconducting Silicon Nanowires for Biomedical Applications is a comprehensive resource for biomaterials scientists who are focused on biosensors, drug delivery, and the next generation of nano-biotech platforms that require a detailed understanding of the cell-nanowire interface, along with researchers and developers in industry and academia who are concerned with nanoscale biomaterials, in particular electronically-responsive structures.

Metal Oxides and Related Solids for Electrocatalytic Water Splitting reviews the fundamentals and strategies needed to design and fabricate metal oxide-based electrocatalysts. After an introduction to the key properties of transition metal oxides, materials engineering methods to optimize the performance of metal-oxide based electrocatalysts are discussed. Strategies reviewed include defect engineering, interface engineering and doping engineering. Other sections cover important categories of metal-oxide (and related solids) based catalysts, including layered hydroxides, metal chalcogenides, metal phosphides, metal nitrides, metal borides, and more. Each chapter introduces important properties and material design strategies, including composite and morphology design. There is also an emphasis on cost-effective materials design and fabrication for optimized performance for electrocatalytic water splitting applications. Lastly, the book touches on recently developed in-situ characterization methods applied to observe and control the material synthesis process.

On March 15, 2011, Donald Trump changed television forever. The Comedy Central Roast of Trump was the first major live broadcast to place a hashtag in the corner of the screen to encourage real-time reactions on Twitter, generating more than 25,000 tweets and making the broadcast the most-watched Roast in Comedy Central history. The #trumproast initiative personified the media and tech industries' utopian vision for a multiscreen and communal live TV experience. In Social TV: Multiscreen Content and Ephemeral Culture, author Cory Barker reveals how the US television industry promised-but failed to deliver-a social media revolution in the 2010s to combat the imminent threat of on-demand streaming video. Barker examines the rise and fall of Social TV across press coverage, corporate documents, and an array of digital ephemera. He demonstrates that, despite the talk of disruption, the movement merely aimed to exploit social media to reinforce the value of live TV in the modern attention economy. Case studies from broadcast networks to tech start-ups uncover a persistent focus on community that aimed to monetize consumer behavior in a transitionary industry period. To trace these unfulfilled promises and flopped ideas, Barker draws upon a unique mix of personal Social TV experiences and curated archives of material that were intentionally marginalized amid pivots to the next big thing. Yet in placing this now-forgotten material in recent historical context, Social TV shows how the era altered how the industry pursues audiences. Multiscreen campaigns have shifted away from a focus on live TV and toward all-day "content" streams. The legacy of Social TV, then, is the further embedding of media and promotional material onto every screen and into every moment of life.

The study of electromagnetic fields in the treatment of various diseases is not a new one; however, we are still learning how magnetic fields impact the human body and its organs. Many novel magnetic materials and technologies could potentially transform medicine. Magnetic Materials and Technologies for Medical Applications explores these current and emerging technologies. Beginning with foundational knowledge on the basics of magnetism, this book then details the approaches and methods used in the creation of novel magnetic materials and devices. This book also discusses current technologies and applications, as well as the commercial aspects of introducing new technologies to the field. This book serves as an excellent introduction for early career researchers or a reference to more experienced researchers who wish to stay abreast of current trends and developing technologies in the field. This book could also be used by clinicians working in medicine and companies interested in establishing new medical technologies. Each chapter provides novel tasks for future scientific and technology research studies.

Machine Learning Algorithms for Signal and Image Processing Enables readers to understand the fundamental concepts of machine and deep learning techniques with interactive, real-life applications within signal and image processing Machine Learning Algorithms for Signal and Image Processing aids the reader in designing and developing real-world applications using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing, adaptive filtering, and text processing. It includes signal processing techniques applied for pre-processing, feature extraction, source separation, or data decompositions to achieve machine learning tasks. Written by well-qualified authors and contributed to by a team of experts within the field, the work covers a wide range of important topics, such as: Speech recognition, image reconstruction, object classification and detection, and text processing Healthcare monitoring, biomedical systems, and green energy How various machine and deep learning techniques can improve accuracy, precision rate recall rate, and processing time Real applications and examples, including smart sign language recognition, fake news detection in social media, structural damage prediction, and epileptic seizure detection Professionals within the field of signal and image processing seeking to adapt their work further will find immense value in this easy-to-understand yet extremely comprehensive reference work. It is also a worthy resource for students and researchers in related fields who are looking to thoroughly understand the historical and recent developments that have been made in the field.

Cyber-Physical Systems: AI and COVID-19 highlights original research which addresses current data challenges in terms of the development of mathematical models, cyber-physical systems-based tools and techniques, and the design and development of algorithmic solutions, etc. It reviews the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS) and reviews tools and techniques that can be used. This book will act as a resource to guide COVID researchers as they move forward with clinical and epidemiological studies on this outbreak, including the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS). The major problem in the identification of COVID-19 is detection and diagnosis due to non-availability of medicine. In this situation, only one method, Reverse Transcription Polymerase Chain Reaction (RT-PCR) has been widely adopted and used for diagnosis. With the evolution of COVID-19, the global research community has implemented many machine learning and deep learning-based approaches with incremental datasets. However, finding more accurate identification and prediction methods are crucial at this juncture.