Modern power systems have undergone tremendous progress due to the implementation of new technologies. With these advancements, the standards for insulation materials must be enhanced and revitalized. Accelerating the Discovery of New Dielectric Properties in Polymer Insulation is a pivotal source of academic research on emerging trends in the properties, applications, and developments of polymer dielectrics. Highlighting a range of relevant perspectives on topics such as high thermal conductivity, power storage, and wind energy, this book is ideally designed for students, professionals, academics, and practitioners interested in the optimization of power system infrastructures.

This book focuses on polymer insulation as applied to HVDC transmission. It addresses both fundamental principles and engineering practice, with more weight placed on the latter. This is achieved by providing in-depth studies on a number of major topics such as DC insulation structure, DC insulation design, nanocomposites, modification, testing and performance evaluation. In turn, several typical HVDC insulation application cases are examined in detail, e.g. cables, cable accessories, GIS/GIL, and converter transformers. A comprehensive and systematic study on polymer insulation modification and ageing assessment is one of the book’s major features, making it particularly well suited for readers who are interested in learning about polymer insulation materials. Given its scope, it offers a valuable resource for researchers, engineers and graduate students in the fields of high-voltage and insulation technologies, electrical engineering, material engineering, etc.

The use of nanotechnologies continues to grow, as nanomaterials have proven their versatility and use in many different fields and industries within the scientific profession. Using nanotechnology, materials can be made lighter, more durable, more reactive, and more efficient leading nanoscale materials to enhance many everyday products and processes. With many different sizes, shapes, and internal structures, the applications are endless. These uses range from pharmaceutics to materials such as cement or cloth, electronics, environmental sustainability, and more. Therefore, there has been a recent surge of research focused on the synthesis and characterizations of these nanomaterials to better understand how they can be used, their applications, and the many different types. The Research Anthology on Synthesis, Characterization, and Applications of Nanomaterials seeks to address not only how nanomaterials are created, used, or characterized, but also to apply this knowledge to the multidimensional industries, fields, and applications of nanomaterials and nanoscience. This includes topics such as both natural and manmade nanomaterials; the size, shape, reactivity, and other essential characteristics of nanomaterials; challenges and potential effects of using nanomaterials; and the advantages of nanomaterials with multidisciplinary uses. This book is ideally designed for researchers, engineers, practitioners, industrialists, educators, strategists, policymakers, scientists, and students working in fields that include materials engineering, engineering science, nanotechnology, biotechnology, microbiology, drug design and delivery, medicine, and more.

As the demand for efficient energy sources continues to grow around the globe, electrical systems are becoming more essential to meet these increased needs. As these systems are being utilized more frequently, it becomes imperative to find ways of optimizing their overall function. Design Parameters of Electrical Network Grounding Systems is a critical scholarly resource that examines safe grounding designs of electrical networks. Featuring coverage on a broad range of topics such as cathodic protection of grounding grids, grounding connections, and soil resistivity evaluation, this book is geared towards academicians, practitioners, and researchers seeking current research on electrical networks.

In the fast pace of the modern world it is important, more than ever, for factories to know how and why their machines are failing and what can be done to prevent it. As such, it is imperative that new research is conducted to make sure that factories can operate as efficiently as possible. Fuzzy Logic Dynamics and Machine Prediction for Failure Analysis is an essential reference source for the newest research on the risk assessment matrix, ladder logic, and computerized maintenance management systems (CMMS). Featuring widespread coverage across a variety of related viewpoints and topics, such as the Ishikawa diagram, machinery failure analysis and troubleshooting, model reference adaptive control systems, and proportional–integral–derivative (PID) controllers, this book is ideally designed for professionals, upper-level students, and academics seeking current research on the implementation of fuzzy logic in machine prediction failure.

Cloud computing is rapidly expanding in its applications and capabilities through various parts of society. Utilizing different types of virtualization technologies can push this branch of computing to even greater heights. Design and Use of Virtualization Technology in Cloud Computing is a crucial resource that provides in-depth discussions on the background of virtualization, and the ways it can help shape the future of cloud computing technologies. Highlighting relevant topics including grid computing, mobile computing, open source virtualization, and virtualization in education, this scholarly reference source is ideal for computer engineers, academicians, students, and researchers that are interested in learning more about how to infuse current cloud computing technologies with virtualization advancements.

As multimedia data advances in technology and becomes more complex, the hybridization of soft computing tools allows for more robust and safe solutions in data processing and analysis. Quantum-Inspired Intelligent Systems for Multimedia Data Analysis provides emerging research on techniques used in multimedia information processing using intelligent paradigms including swarm intelligence, neural networks, and deep learning. While highlighting topics such as clustering techniques, neural network architecture, and text data processing, this publication explores the methods and applications of computational intelligent tools. This book is an important resource for academics, computer engineers, IT professionals, students, and researchers seeking current research in the field of multimedia data processing and quantum intelligent systems.