Optical Communications in the 5G Era provides an up-to-date overview of the emerging optical communication technologies for 5G next-generation wireless networks. It outlines the emerging applications of optical networks in future wireless networks, state-of-the-art optical communication technologies, and explores new R&D opportunities in the field of converged fixed-mobile networks. Optical Communications in the 5G Era is an ideal reference for university researchers, graduate students, and industry R&D engineers in optical communications, photonics, and mobile and wireless communications who need a broad and deep understanding of modern optical communication technologies, systems, and networks that are fundamental to 5G and beyond.

Topological Insulator and Related Topics, Volume 108 in the Semiconductors and Semimental series, highlights new advances in the field, with this new volume presenting interesting chapters on topics such as Majorana modes at the ends of one dimensional topological superconductors, Optical/electronic properties of Weyl semimetals, High magnetic fields to unveil the electronic structure, magnetic field-induced transitions, and unconventional transport properties of topological semimetals, New aspects of strongly correlated superconductivity in the nearly flat-band regime, Anomalous transport properties in topological semimetals, Pseudo-gauge field and piezo-electromagnetic response in topological materials, Topological Gapped States Protected by Spatial Symmetries, and more.

Microsupercapacitors systematically guides the reader through the key materials, characterization techniques, performance factors and potential applications and benefits to society of this emerging electrical energy storage solution. The book reviews the technical challenges in scaling down supercapacitors, covering materials, performance, design and applications perspectives. Sections provide a fundamental understanding of microsupercapacitors and compare them to existing energy storage technologies. Final discussions consider the factors that impact performance, potential tactics to improve performance, barriers to implementation, emerging solutions to those barriers, and a future outlook. This book will be of particular interest to materials scientists and engineers working in academia, research and development.

Metal oxide nanomaterials exhibit interesting electrical and photochemical properties because of their size, stability, and high surface area that render them as great choices in fabricating alternative electrode materials for electrochemical energy storage and sensor applications. The hybridization of metal oxides with other materials lead to the improvement in electrical conductivity, stability, and electron transfer kinetics during the electrocatalytic reactions. These key factors result in greater sensitivity of the sensor materials towards the analyte molecules. This book reviews the electrochemical determination of a variety of toxic chemical contaminants using metal oxide-based nanocomposite materials. Ultrasensitive and selective detection of toxic chemical contaminants is important and demanding, especially for monitoring and controlling environmental pollution. In recent years, metal oxide-based nanocomposite materials have shown high potential in the electrochemical detection of heavy metals, inorganic anions, phenolic compounds, pesticides, and chemical warfare reagents. Metal Oxides in Nanocomposite-Based Electrochemical Sensors for Toxic Chemicals comprehensively reviews this topic. In addition to the instrumental simplicity, the electrochemical methods show the improved sensor performance through the synergetic effect of metal oxide and other electroactive nanomaterial present in the nanocomposite. Thus, detailed information on the electrochemical sensing of toxic chemical contaminants using metal oxide-based nanomaterials are discussed. The recent progress in developing electrochemical sensors using metal oxide-based nanocomposite materials and perspectives on future opportunities in sensor research and development are addressed in the book.

Deep Learning for Chest Radiographs enumerates different strategies implemented by the authors for designing an efficient convolution neural network-based computer-aided classification (CAC) system for binary classification of chest radiographs into "Normal" and "Pneumonia." Pneumonia is an infectious disease mostly caused by a bacteria or a virus. The prime targets of this infectious disease are children below the age of 5 and adults above the age of 65, mostly due to their poor immunity and lower rates of recovery. Globally, pneumonia has prevalent footprints and kills more children as compared to any other immunity-based disease, causing up to 15% of child deaths per year, especially in developing countries. Out of all the available imaging modalities, such as computed tomography, radiography or X-ray, magnetic resonance imaging, ultrasound, and so on, chest radiographs are most widely used for differential diagnosis between Normal and Pneumonia. In the CAC system designs implemented in this book, a total of 200 chest radiograph images consisting of 100 Normal images and 100 Pneumonia images have been used. These chest radiographs are augmented using geometric transformations, such as rotation, translation, and flipping, to increase the size of the dataset for efficient training of the Convolutional Neural Networks (CNNs). A total of 12 experiments were conducted for the binary classification of chest radiographs into Normal and Pneumonia. It also includes in-depth implementation strategies of exhaustive experimentation carried out using transfer learning-based approaches with decision fusion, deep feature extraction, feature selection, feature dimensionality reduction, and machine learning-based classifiers for implementation of end-to-end CNN-based CAC system designs, lightweight CNN-based CAC system designs, and hybrid CAC system designs for chest radiographs. This book is a valuable resource for academicians, researchers, clinicians, postgraduate and graduate students in medical imaging, CAC, computer-aided diagnosis, computer science and engineering, electrical and electronics engineering, biomedical engineering, bioinformatics, bioengineering, and professionals from the IT industry.

Optical Fiber Sensors for the Next Generation of Rehabilitation Robotics presents development concepts and applications of optical fiber sensors made of compliant materials in rehabilitation robotics. The book provides methods for the instrumentation of novel compliant devices. It presents the development, characterization and application of optical fiber sensors in robotics, ranging from conventional robots with rigid structures to novel wearable systems with soft structures, including smart textiles and intelligent structures for healthcare. Readers can look to this book for help in designing robotic structures for different applications, including problem-solving tactics in soft robotics. This book will be a great resource for mechanical, electrical and electronics engineers and photonics and optical sensing engineers.

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.

The incredible growth in the development and use of wireless communication technologies has led to research in both academia and industry on artificial intelligence (AI) methods that enable intelligent technologies, smarter services and applications, business processes and social interactions to satisfy future requirements. AI mechanisms are being exploited in smart intelligent network applications to provide insights from collected data by identifying patterns and allowing operational predictions with higher accuracy in smaller time periods. The future of AI-powered wireless networking infrastructures depends on finding effective solutions to a number of technical challenges that such paradigms introduce, including better intelligent sensor capabilities, smarter big data analytics, automated remote data management, as well as open and secure processes. This book presents innovative research in emerging artificial intelligence methods for the processing, storing and analysing of large date sets generated by wireless communication infrastructures. It addresses major new technological developments, reflects on industry needs, current research trends and future directions. The authors focus on the development of AI-powered mechanisms for future wireless networking applications and architectures which will lead to more performant, resilient and valuable ecosystems and automated services. The book is aimed at researchers, engineers and scientists involved in the design and development of protocols and AI applications for wireless communication devices, and wireless networking technologies.

EU Telecommunications Law provides a comprehensive overview of the current European regulatory framework as it applies to telecommunications and examines the challenges facing regulators in this sector. Key chapters focus on the selection of appropriate regulatory models that serve to encourage effective investment in next-generation networks and ensure their successful deployment. Andrej Savin provides an up to date overview of all the relevant sources, guiding the reader through these disparate materials in a simple and systematized way. In particular, the book provides analysis of the 2016 proposal for a European Electronic Communications Code (EECC). Using the 2009 Regulatory Framework on electronic communications as a basis the author analyses each of the 2009 framework?s five main directives, comparing them with the changes proposed in the EECC. Providing a comprehensive introduction to the main areas of EU telecoms regulation, this book will be of great value to telecoms and IT lawyers. It will also appeal to academics carrying out research in IT law or competition law as it relates to IT and telecoms.

Nanostructured Zinc Oxide covers the various routes for the synthesis of different types of nanostructured zinc oxide including; 1D (nanorods, nanowires etc.), 2D and 3D (nanosheets, nanoparticles, nanospheres etc.). This comprehensive overview provides readers with a clear understanding of the various parameters controlling morphologies. The book also reviews key properties of ZnO including optical, electronic, thermal, piezoelectric and surface properties and techniques in order to tailor key properties. There is a large emphasis in the book on ZnO nanostructures and their role in optoelectronics. ZnO is very interesting and widely investigated material for a number of applications. This book presents up-to-date information about the ZnO nanostructures-based applications such as gas sensing, pH sensing, photocatalysis, antibacterial activity, drug delivery, and electrodes for optoelectronics.

Magnetic skyrmions are particle-like objects described by localized solutions of non-linear partial differential equations. Up until a few decades ago, it was believed that magnetic skyrmions only existed in condensed matter as short-term excitations that would quickly collapse into linear singularities. The contrary was proven theoretically in 1989 and evidentially in 2009. It is now known that skyrmions can exist as long-living metastable configurations in low-symmetry condensed matter systems with broken mirror symmetry, increasing the potential applications possible. Magnetic Skyrmions and their Applications delves into the fundamental principles and most recent research and developments surrounding these unique magnetic particles. Despite achievements in the synthesis of systems stabilizing chiral magnetic skyrmions and the variety of experimental investigations and numerical calculations, there have not been many summaries of the fundamental physical principles governing magnetic skyrmions or integrating those concepts with methods of detection, characterization and potential applications. Magnetic Skyrmions and their Applications delivers a coherent, state-of-the-art discussion on the current knowledge and potential applications of magnetic skyrmions in magnetic materials and device applications. First the book reviews key concepts such as topology, magnetism and materials for magnetic skyrmions. Then, charactization methods, physical mechanisms, and emerging applications are discussed.

MicroLEDs', Volume 106 is currently recognized as the ultimate display technology and one of the fastest-growing technologies in the world as technology giants utilize it on a wide-ranging set of products. This volume combines contributions from MicroLED pioneers and world's leading experts in the field who focus on the MicroLED development, current cutting-edge technologies of pursuing for realizing MicroLED large flat panel displays and televisions, virtual reality and 3D displays, light source for LI-FI data communications, neural interface and optogenetics, and future MicroLED technology trends.

Cognitive Computing for Human-Robot Interaction: Principles and Practices explores the efforts that should ultimately enable society to take advantage of the often-heralded potential of robots to provide economical and sustainable computing applications. This book discusses each of these applications, presents working implementations, and combines coherent and original deliberative architecture for human-robot interactions (HRI). Supported by experimental results, it shows how explicit knowledge management promises to be instrumental in building richer and more natural HRI, by pushing for pervasive, human-level semantics within the robot's deliberative system for sustainable computing applications. This book will be of special interest to academics, postgraduate students, and researchers working in the area of artificial intelligence and machine learning. Key features: Introduces several new contributions to the representation and management of humans in autonomous robotic systems; Explores the potential of cognitive computing, robots, and HRI to generate a deeper understanding and to provide a better contribution from robots to society; Engages with the potential repercussions of cognitive computing and HRI in the real world.

Soft Robotics in Rehabilitation explores the specific branch of robotics dealing with developing robots from compliant and flexible materials. Unlike robots built from rigid materials, soft robots behave the way in which living organs move and adapt to their surroundings and allow for increased flexibility and adaptability for the user. This book is a comprehensive reference discussing the application of soft robotics for rehabilitation of upper and lower extremities separated by various limbs. The book examines various techniques applied in soft robotics, including the development of soft actuators, rigid actuators with soft behavior, intrinsically soft actuators, and soft sensors. This book is perfect for graduate students, researchers, and professional engineers in robotics, control, mechanical, and electrical engineering who are interested in soft robotics, artificial intelligence, rehabilitation therapy, and medical and rehabilitation device design and manufacturing.

Inclusive Radio Communication Networks for 5G and Beyond is based on the COST IRACON project that consists of 500 researchers from academia and industry, with 120 institutions from Europe, US and the Far East involved. The book presents state-of-the-art design and analysis methods for 5G (and beyond) radio communication networks, along with key challenges and issues related to the development of 5G networks. This book is Open Access and was funded by: CNIT - Consorzio Nazionale Interuniversitario per le Telecomunicazioni European Association for Communications and Networking (EURACON), AISBL