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New Trends in High Voltage Engineering
For public access to electric energy, exploitation of high-voltage networks is inevitable. Meanwhile, high-voltage engineering plays a basic role in designing and operating network insulation. On the other hand, modern high-voltage engineering trends are developing environmentally friendly and recyclable insulators. Recently, nano-doping of environmentally friendly polypropylene/inorganic nano-composites has shown improvement to its characteristics and increased the use of HVDC insulation. In this book, research is carried out on nano-doping effects on the performance and future development of polypropylene nano-composites. Also, the characteristics of CF3I gas and its combination with nitrogen by experimental results are investigated. Installation of capacitors may result in voltage increment at the point where the capacitors are connected to the network. This issue is important when a harmonic resonance has occurred. The harmonic resonances may lead to voltage stress on the power network insulation. The book also discusses the effect of harmonic resonance on the insulation.
Polyimide for Electronic and Electrical Engineering Applications
Polyimide is one of the most efficient polymers in many industries for its excellent thermal, electrical, mechanical, and chemical properties as well as its easy processability. In the electronic and electrical engineering industries, polyimide has widely been used for decades thanks to its very good dielectric and insulating properties at the high electric field and at high temperatures of around 200°C in long term-service. Moreover, polyimide appears essential for the development of new electronic devices where further considerations such as high power density, integration, higher temperature, thermal conduction management, energy storage, reliability, or flexibility are required in order to sustain the growing global electrical energy consumption. This book gathers interdisciplinary chapters on polyimide in various topics through state-of-the-art and original ongoing research.
Neural Networks for Natural Language Processing
Information in today’s advancing world is rapidly expanding and becoming widely available. This eruption of data has made handling it a daunting and time-consuming task. Natural language processing (NLP) is a method that applies linguistics and algorithms to large amounts of this data to make it more valuable. NLP improves the interaction between humans and computers, yet there remains a lack of research that focuses on the practical implementations of this trending approach. Neural Networks for Natural Language Processing is a collection of innovative research on the methods and applications of linguistic information processing and its computational properties. This publication will suppo...
Soft-Computing-Based Nonlinear Control Systems Design
A critical part of ensuring that systems are advancing alongside technology without complications is problem solving. Practical applications of problem-solving theories can model conflict and cooperation and aid in creating solutions to real-world problems. Soft-Computing-Based Nonlinear Control Systems Design is a critical scholarly publication that examines the practical applications of control theory and its applications in problem solving to fields including economics, environmental management, and financial modelling. Featuring a wide range of topics, such as fuzzy logic, nature-inspired algorithms, and cloud computing, this book is geared toward academicians, researchers, and students seeking relevant research on control theory and its practical applications.
Selected Papers from 2018 IEEE International Conference on High Voltage Engineering (ICHVE 2018)
The 2018 IEEE International Conference on High Voltage Engineering (ICHVE 2018) was held on 10–13 September 2018 in Athens, Greece, organized by the National Technical University of Athens, Greece, and endorsed by the IEEE Dielectrics and Electrical Insulation Society. This conference has attracted a great deal of attention from international researchers in the field of high voltage engineering. This conference provided not only an excellent platform to share knowledge and experiences on high voltage engineering, but also the opportunity to present the latest achievements and different emerging challenges in power engineering, including topics related to ultra-high voltage, smart grids, and new insulation materials and their dielectric properties.
EHT Transmission Performance Evaluation: Emerging Research and Opportunities
Electricity has become a basic requirement in today’s world. Interruption free electrical energy and availability of surplus power are entwined in improving consumers quality of life. EHT Transmission Performance Evaluation: Emerging Research and Opportunities provides emerging research on reliability aspects of components, transmission lines, and substation designs. While highlighting power system adequacy and security, readers will also see how those aspects need to be given first consideration when making continuous power available to consumers. This book is a vital resource for researchers, professionals, and academics seeking current research on EHT transmission performance.
High Temperature Polymer Dielectrics
High Temperature Polymer Dielectrics Overview on how to achieve polymer dielectrics at high temperatures, with emphasis on diverse applications in various electrical insulation fields High Temperature Polymer Dielectrics: Fundamentals and Applications in Power Equipment systematically describes the latest research progress surrounding high-temperature polymer dielectric (HTPD) materials and their applications in electrical insulation fields such as high-temperature energy storage capacitors, motors, packaging, printed circuit board, new energy power equipment, and aerospace electrical equipment. The comprehensive text provides a description of the market demand and theoretical research value...
Quantum-Inspired Intelligent Systems for Multimedia Data Analysis
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.
Design and Use of Virtualization Technology in Cloud Computing
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.
Fuzzy Logic Dynamics and Machine Prediction for Failure Analysis
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.
