C-V2X-Technologien in vernetzten automatisierten Fahrzeugen ermoeglichen den Informationsaustausch zwischen Fahrzeugen, wobei die Fahrzeuge sowohl mit dem Netz als auch miteinander uber ausserst zuverlassige und reaktionsschnelle, sichere und hochleistungsfahige Verbindungen kommunizieren. Wenn diese Form der Konnektivitat moeglich wird, foerdert dies die Entstehung disruptiver neuer Anwendungen und Unternehmensdienstleistungen, die zu einer vorausschauenden Fahrunterstutzung, zusatzlicher Verkehrssicherheit und schliesslich der umfassenden Verbreitung vollautomatisierter Fahrzeuge fuhren. Auf dem Weg zum vollautomatisierten Fahren bestehen erhebliche Herausforderungen fur das Netz und die Fahrzeuge, wenn es darum geht, Dienste fur Fahrzeuge auf unterschiedlichen Ebenen der Automatisierung bereitzustellen.

Covers flight mechanics, flight simulation, flight testing, flight control, and aeroservoelasticity. Features artificial neural network and fuzzy logic-based aspects in modeling and analysis of flight mechanics systems: aircraft parameter estimation, and reconfiguration of control. Focuses on a systems-based approach. Includes two new chapters, numerical simulation examples with a MATLAB® based approach, and end-of-chapter exercises. Includes a Solutions Manual and Figure Slides for adopting instructors.

Explains different power electronics types of converters with different types of renewable energy sources Provides review of the major power conversion topologies in one book Focuses on experimental analysis rather than simulation work Recommends usage of MATLAB, PSCAD, and PSIM simulation software for detailed analysis Includes DC-DC converters reasonable with peculiar power rating

Cloud-based Intelligent Informative Engineering for Society 5.0 is a model for the dissemination of cutting-edge technological innovation and assistive devices for people with physical impairments. This book showcases Cloud-based, high-performance Information systems and Informatics-based solutions for the verification of the information support requirements of the modern engineering, healthcare, modern business, organization, and academic communities. Features: Includes broad variety of methodologies and technical developments to improve research in informative engineering Explore the Internet of Things (IoT), blockchain technology, deep learning, data analytics, and cloud Highlight Cloud-based high-performance Information systems and Informatics-based solutions This book is beneficial for graduate students and researchers in computer sciences, cloud computing and related subject areas.

Reliability Investigation of LED Devices for Public Light Applications focuses on state-of-the-art GaN-based LED technology through the study of typical failure mechanisms in public lighting applications. Across the different chapters, the reader will explore the tools and analyses involved in the study and application of a number of different LED devices. The authors review GaN-based LED technology by focusing on the main failure mechanisms targeting polymer-based packaging, thanks to electrical and spectral models. The proposed technology and methodologies will help those interested in the topic to further their knowledge of failure mechanisms, exploring the physical and chemical analyses involved.

This book presents a comprehensive overview of nanoscale electronics and systems packaging, and covers nanoscale structures, nanoelectronics packaging, nanowire applications in packaging, and offers a roadmap for future trends. Composite materials are studied for high-k dielectrics, resistors and inductors, electrically conductive adhesives, conductive "inks," underfill fillers, and solder enhancement. The book is intended for industrial and academic researchers, industrial electronics packaging engineers who need to keep abreast of progress in their field, and others with interests in nanotechnology. It surveys the application of nanotechnologies to electronics packaging, as represented by current research across the field.

This new volume introduces various VLSI (very-large-scale integration) architecture for DSP filters, speech filters, and image filters, detailing their key applications and discussing different aspects and technologies used in VLSI design, models and architectures, and more. The volume explores the major challenges with the aim to develop real-time hardware architecture designs that are compact and accurate. Knowledge of VLSI is necessary for understanding today’s contemporary hardware prospects of engineering. It is the process of creating an integrated circuit by combining millions of MOS transistors onto a single chip that is needed for handheld portable battery-operated devices that require efficient, errorless, and low-power arithmetic operation. VLSI plays a most important role in the performance of digital systems, digital signal processing (DSP), image processing applications, hardware security, quantum computing, etc. Especially in DSP systems, the algorithms of VLSI have a number of interesting characteristics that can be exploited in the design of the arithmetic circuits so that they can be implemented more efï¬ciently in terms of computation time, chip area, and power consumption. This volume, VLSI Architecture for Signal, Speech, and Image Processing, provides useful research in the field of computer arithmetic and can be applied for various arithmetic circuits, for their digital implementation schemes, and for performance considerations. It covers how computer arithmetic contributes to the era of quantum computing, hardware security, image processing, biomedical engineering, artificial intelligence, neural networks, and stochastic computing. Prepared by leading researchers in the field of computer arithmetic architecture, the state-of-the-art information presented here helps to provide a comprehensive understanding of VLSI for students, faculty, and researchers in computer science, computer engineering, and electrical and electronics engineering. It may be used as a textbook for courses on VLSI as well as a reference book.

This book presents high-quality papers from the Fourth International Conference on Microelectronics, Computing & Communication Systems (MCCS 2019). It discusses the latest technological trends and advances in MEMS and nanoelectronics, wireless communication, optical communication, instrumentation, signal processing, image processing, bioengineering, green energy, hybrid vehicles, environmental science, weather forecasting, cloud computing, renewable energy, RFID, CMOS sensors, actuators, transducers, telemetry systems, embedded systems and sensor network applications. It includes papers based on original theoretical, practical and experimental simulations, development, applications, measurements and testing. The applications and solutions discussed here provide excellent reference material for future product development.

Low-Voltage CMOS Operational Amplifiers: Theory, Design and Implementation discusses both single and two-stage architectures. Opamps with constant-gm input stage are designed and their excellent performance over the rail-to-rail input common mode range is demonstrated. The first set of CMOS constant-gm input stages was introduced by a group from Technische Universiteit, Delft and Universiteit Twente, the Netherlands. These earlier versions of circuits are discussed, along with new circuits developed at the Ohio State University. The design, fabrication (MOSIS Tiny Chips), and characterization of the new circuits are now complete. Basic analog integrated circuit design concepts should be understood in order to fully appreciate the work presented. However, the topics are presented in a logical order and the circuits are explained in great detail, so that Low-Voltage CMOS Operational Amplifiers can be read and enjoyed by those without much experience in analog circuit design. It is an invaluable reference book, and may be used as a text for advanced courses on the subject.

Harnessing the Internet of Things (IoT) for Hyper-Connected Smart World explores a multitude of diverse IoT applications that provide advanced solutions for real-world problems. IoT offers tremendous potential to incorporate data-driven decision-making into every aspect of human activity, and this volume explores its use in agriculture, education, worker safety, health care, energy harvesting, and more. In addition, several chapters explore ways to improve and maintain higher performance in IoT. The diverse selection of topics addressed in the book include network on chip (NoC) as the new paradigm for system on chip (SoC) integration for maintaining high performance for IoT applications; new router designs to increase speed; the challenges of wireless underground sensor networks (WUSNs), which have a wide range of applications in military, underground sensing, testing soil traits and moisture content, pollution control and location detection, security, and detection of natural calamities. Various state-of-the-art techniques such as optimization schemes, blockchain, machine learning (ML), orthogonal frequency division multiplexing (OFDM), etc., are also discussed in the context of cognitive IoT. The volume elucidates on the uses of IoT in agriculture, discussing challenges along with solutions with the help of the latest technical smart tools to uplift the farming community, specifically IoT applications for information gathering to improve yield productivity, food and crop quality and sustainability, monitoring toxic substances and soil properties, etc. The book also covers a broad spectrum of IoT applications in the educational industry along with the challenges associated with them and how to facilitate the use of smart classroom technology. A chapter on IoT in the health care industry presents an IoT-based GPS-enabled smart jacket design comprised of smart sensors to monitor heart rate, sugar level, blood pressure, fever, and stress level. The authors also present an IoT-based Peltier air conditioner design that overcomes the limitations existing HVAC framework, a comprehensive review of various energy harvesting techniques to generate electrical power from nonconventional power sources with their merits and demerits, and much more. The book showcases the many ways that IoT can be employed for improvement in many areas of contemporary life. It will appeal to advanced students, practitioners, and researchers working in the field of IoT to integrate IoT with other technologies to develop comprehensive solutions to real-life problems.

With signal combining and detection methods now representing a key application of signal processing in communication systems, this book provides a range of key techniques for receiver design when multiple received signals are available. Various optimal and suboptimal signal combining and detection techniques are explained in the context of multiple-input multiple-output (MIMO) systems, including successive interference cancellation (SIC) based detection and lattice reduction (LR) aided detection. The techniques are then analyzed using performance analysis tools. The fundamentals of statistical signal processing are also covered, with two chapters dedicated to important background material. With a carefully balanced blend of theoretical elements and applications, this book is ideal for both graduate students and practising engineers in wireless communications.

It explores a variety of modern applications in soft computing, including bioinspired computing, reconfigurable computing, fuzzy logic, fusion-based learning, intelligent healthcare systems, bioinformatics, data mining, functional approximation, genetic and evolutionary algorithms, hybrid models, machine learning, meta heuristics, neuro fuzzy system, and optimization principles. The book acts as a reference book for AI developers, researchers, and academicians as it addresses the recent technological developments in the field of soft computing.

Experts in research, industry, and academia cover recent trends and state-of-the art solutions in computer and communications engineering, focusing specifically on real-time applications of electronics, communications, computing, and information technology. The volume provides sound theoretical and application-oriented knowledge with a special focus on the development of safety-critical networks and integrated electrical and electronics systems. The volume also features numerous new algorithms that assist in solving computer and communication engineering problems.

This book unifies existing and emerging concepts concerning state estimation, fault detection, fault isolation and fault estimation on industrial systems with an emphasis on a variety of network-induced phenomena, fault diagnosis and remaining useful life for industrial equipment. It covers state estimation/monitor, fault diagnosis and remaining useful life prediction by drawing on the conventional theories of systems science, signal processing and machine learning. Features: Unifies existing and emerging concepts concerning robust filtering and fault diagnosis with an emphasis on a variety of network-induced complexities. Explains theories, techniques, and applications of state estimation as well as fault diagnosis from an engineering-oriented perspective. Provides a series of latest results in robust/stochastic filtering, multidate sample, and time-varying system. Captures diagnosis (fault detection, fault isolation and fault estimation) for time-varying multi-rate systems. Includes simulation examples in each chapter to reflect the engineering practice. This book aims at graduate students, professionals and researchers in control science and application, system analysis, artificial intelligence, and fault diagnosis.

1. The book is a pioneer work in this field, a new view concerning the old things that seem to be known for all power systems and control specialists: algorithms related to control parameters and operation estimation, detection, classification, resolution, and utilization. 2. The work contains a new algebraic approach to economic dispatch exploiting as an algebraic system for power operations realized. 3. The monograph contains a solution to large-scale power control problems, namely the increasing development of methods and algorithms of the processing in the control method of the power system that provides increasing (a) Operation efficiency under different uncertainty conditions; (b) system stability rate.; (2) further development of mathematical fundamentals of power system networks. 4. For the first time, the traditional method considers the fundamentals of power system control and operation. Developed algorithms cover many possible applications and known classic optimal algorithms related to the algorithms. 5. All obtained results are new, original, and unknown to English-speaking audiences and verified by the MATLAB program.

We are in the swirling center of the most life-changing technological revolution the Earth has ever known. In only 60 years, an eye-blink of human history, a single technological invention has launched the proverbial thousand ships, producing the most sweeping and pervasive set of changes ever to wash over humankind; changes that are reshaping the very core of human existence, on a global scale, at a relentlessly accelerating pace. And we are just at the very beginning. Silicon Earth introduces readers with little or no background to the many marvels of microelectronics and nanotechnology, using easy, non-intimidating language, with an intuitive approach using minimal math. The general scientific and engineering underpinnings of microelectronics and nanotechnology are addressed, as well as how this new technological revolution is transforming a broad array of interdisciplinary fields, and civilization as a whole. Special 'widget deconstruction' chapters address the inner workings of ubiquitous micro/nano-enabled pieces of technology such as cell phones, flash drives, GPS, DVDs, and digital cameras.

The recent COVID-19 global pandemic exemplifies the need for efficient, reliable, and real-time tools and technology for forecasting and predicting healthcare disasters as well as for helping to restrict subsequent spread and fatality of deadly diseases. This new book discusses many of the innovative and state-of-the-art tools and technology that can help meet the challenges of predicting such disasters. The chapters offer a plethora of useful information for designing healthcare disaster management systems that can be dynamically configurable with implementation of today’s modern technology, such as cloud computing, artificial intelligence, IoT, data analytics, and machine learning. These can increase effectiveness in remote sensing technologies, data analytics, data storage, communication networks, geographic information system (GIS), and global positioning System (GPS), to name a few. The book discusses mathematical models using graph-based approaches for analyzing dynamic, heterogeneous, and unstructured data for applications in epidemiology. The authors also address the use of mobile applications for communication efforts and remote monitoring for gauging health and the effectiveness of preventive healthcare measures. The chapters discuss influencing factors that directly or indirectly target public health infrastructure that can lead to or exacerbate global health crises, such as extreme climate changes, refugee health crises, terrorism and cyberterrorism, and technology-related incidents. The book further looks at efficient methods to analyze disasters and how to deliver healthcare in areas of conflict and crisis. This important volume, Global Healthcare Disasters: Predicting the Unpredictable with Emerging Technologies, provides a bounty of useful information for health professionals, academicians, researchers, governmental agencies, and policymakers across the world to predict, mitigate, and manage global health disaster with emerging technologies.

This new volume explores a plethora of blockchain-based solutions for big data and IoT applications, looking at advances in real-world applications in several sectors, including higher education, cybersecurity, agriculture, business and management, healthcare and biomedical science, construction and project management, smart city development, and others. Chapters explore emerging technology to combat the ever-increasing threat of security to computer systems and offer new architectural solutions for problems encountered in data management and security. The chapters help to provide a high level of understanding of various blockchain algorithms along with the necessary tools and techniques. The novel architectural solutions in the deployment of blockchain presented here are the core of the book.

Transition metal oxides form a series of compounds with a uniquely wide range of electronic properties. They have important applications as dielectrics,semiconductors, and metals, and as materials for magnetic and optical uses. The recent discovery of `high temperature' superconductors has brought the attention of a wide scientific community to this area and has highlighted the problems involved in trying to understand transition metal oxides. The present book is not primarily about Tc superconductors, although their main properties are discussed in the final sections. The main aim is to describe the varied electronic behaviour shown by transition metal oxides, and to discuss the different types of theoretical model that have been proposed to interpret it. It is intended to provide an introduction to this fascinating and difficult field, at a level suitable for graduate students and other research workers with a background in solid- state chemistry or physics.

1. Covers latest concepts in image processing and intelligent computing systems. 2. Presents the applications of image processing based intelligent systems. 3. Covers latest research topics in the field. 4. Written in a comprehensive and simple manner. 5. The text is accompanied by tables and illustrative figures for better understanding of the topic.

"Power System Coherency and Model Reduction" provides a comprehensive treatment for understanding interarea modes in large power systems and obtaining reduced-order models using the coherency concept and selective modal analysis method. Both linear and nonlinear analysis methods are covered. This is a reference book for researchers interested in interarea oscillations and model reduction, and power engineers in developing reduced models for power system studies and control design.

This volume helps to fill the gap between data analytics, image processing, and soft computing practices. Soft computing methods are used to focus on data analytics and image processing to develop good intelligent systems. To this end, readers of this volume will find quality research that presents the current trends, advanced methods, and hybridized techniques relating to data analytics and intelligent systems. The book also features case studies related to medical diagnosis with the use of image processing and soft computing algorithms in particular models. Providing extensive coverage of biometric systems, soft computing, image processing, artificial intelligence, and data analytics, the chapter authors discuss the latest research issues, present solutions to research problems, and look at comparative analysis with earlier results. Topics include some of the most important challenges and discoveries in intelligent systems today, such as computer vision concepts and image identification, data analysis and computational paradigms, deep learning techniques, face and speaker recognition systems, and more.

This thesis considers molecular orientation in thin films and introduces an optical model describing this orientation as applied to organic light-emitting diodes (OLEDs). It also describes the electronic structure of intermolecular charge transfer excitons correlated to molecular orientation in solids. It has long been known that molecular orientation influences the electrical and optical properties of molecular films. One notable example is in liquid crystals where rigid rod or disk shaped molecules are commonly used. Understanding the origin of the molecular orientation and its control by surface treatment and electric field resulted in the development of liquid crystal displays. The same thing has happened in organic electronics, and considerable effort has been devoted to understanding and controlling molecular orientation in solid films to improve charge carrier mobility and light absorption, ultimately to improve the performance of organic solar cells and thin film transistors. In contrast, less attention has been paid to molecular orientation and its influence on the characteristics of OLEDs, probably because of the use of amorphous films rather than micro-crystalline films, and it is only in recent years that some molecular films are known to have preferred orientation. This thesis addresses this topic, focusing on OLEDs, describing the origin and control of the orientation of phosphorescent Ir complexes possessing spherical shape rather than rod or disk shape, the simulation of the optical characteristics of OLEDs influenced by preferred molecular orientation, and finally the orientation of intermolecular charge transfer excitons and its correlation to electronic structures in thin films.