Understanding Automotive Electronics: An Engineering Perspective, Eighth Edition, is written with an engineering perspective that includes mathematical models, providing a qualitative explanation of each subject that requires no mathematical background. Thoroughly updated throughout, this new edition moves away from introductory mechanic-level electronics to cover hot topics such as automotive camera systems and typical electronic camera systems, hybrid control, AUTOSAR (AUTomotive Open System ARchitecture) and vehicle networks. Comprehensive coverage of automotive electronics and control, including the latest technology in telematics, active safety, entertainment, and communications are also included. This book is the first port of call for control engineers, system engineers, and electronic engineers in automotive who need a thorough grounding in automotive electronics and control. From simple automotive electronic circuits, to the latest developments in telematics, active safety, entertainment, and communications, the book is also an ideal resource for more senior automotive engineers without a background in electronics or control who to work in the area or supervise specialists.

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.

As indicated in the Foreword to this series on Advances in Pulsed Power Technologies, the pioneering roots of modern pulsed power as related by J.C. "Charlie" Martin and his co-workers of the Atomic Weapons Research Establishment, Aldermaston, Reading UK is an important if not essential record of the experiential history of the major developer of pulsed power advances during the post-World War II period. It finds great utility as an instructive accounting of the trials, tribulations and, finally, an almost chronological walk through their thoughts as they diligently and happily travel the yellow brick road to success. It is recounted in the inimitable style of "Charlie" Martin as only he can relate, with some insightful perspectives by Mike Good man, a constant companion, and collaborator who shares his unique view of "Charlie" and the Aldermaston Group. This collection of selected articles is unique, for in large part, the documentation of their struggle and final triumph have not been formerly published in any archival manner. One reason, we suspect, was the defense-related application and significance of their work, compounded by the constant need for progress which did not allow for the time consuming preparation of formal submission to the literature. This also explains the "urgent" and sometimes terse manner of their writings. Yet the material remains remarkably current because we are dealing, in large measure, with pulsed systems less sensitive to those factors involved in slower pulsed scenarios."

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.

* It provides detailed multi-phase models of system components along with PSCAD implementation and analysis * It provides a comprehensive reference of transient cases in power systems along with protective solutions. * The cases are not limited to classical transients such as lightning strikes and switchings but rather the book discusses transient cases that power system operators and engineers had to deal with such as ferroresonance in details accompanied by computer simulations. * The book contains a chapter on original materials related to transformer windings with induced traveling waves. This concept has not been explored in any of the books published in the area of transients.

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.

Based on the technical accumulation and practice of Huawei iLab in the Cloud VR field, this book systematically describes the advantages of Cloud VR technologies; technical requirements on clouds, networks, and terminals as well as solution implementation; Cloud VR experience evaluation baselines and methods; and current business practices. Cloud VR introduces cloud computing and cloud rendering to VR services. With fast and stable networks, cloud-based display output and audio output are coded, compressed, and transmitted to user terminals, implementing cloud-based VR service content and content rendering. Cloud VR has stringent requirements on bandwidth and latency, making it a proficient application for 5G and gigabit home broadband networks in the era of "dual G". As the first advocate of Cloud VR, Huawei iLab developed the first prototype of the Cloud VR technical solution, initiated the industry's first Cloud VR industry cooperation plan - VR OpenLab with partners - and incubated the world's first Cloud VR commercial project with China Mobile Fujian. Cloud VR: Technology and Application is the first official publication of Huawei iLab's research and practice achievements. It systematically and thoroughly introduces the Cloud VR concept, solution architecture, key technologies, and business practices and is of great value in academic and social applications. This book is easy to understand, practical, and suitable for VR vendors, VR technology enthusiasts, carriers, network vendors, cloud service providers, universities, and other enterprises and scientific research institutes.

This volume of Modern Aspects of Electrochemistry has contributions from significant individuals in electrochemistry. This 7 chapter book discusses electrodeposition and the characterization of alloys and composite materials, the mechanistic aspects of lead electrodeposition, electrophoretic deposition of ceramic materials onto metal surfaces and the fundamentals of metal oxides for energy conversion and storage technologies. This volume also has a chapter devoted to the anodization of aluminum, electrochemical aspects of chemical and mechanical polishing, and surface treatments prior to metallization of semiconductors, ceramics, and polymers. This volume of Modern Aspects of Electrochemistry is ideal for scientists, researchers, engineers, and students interested in the latest findings in the field of electrodeposition and surface finishing.

Biopolymer Composites in Electronics examines the current state-of-the-art in the electronic application based on biopolymer composites. Covering the synthesis, dispersion of fillers, characterization and fabrication of the composite materials, the book will help materials scientists and engineers address the challenges posed by the increased use of biopolymeric materials in electronic applications. The influence of preparation techniques on the generation of micro, meso, and nanoscale fillers, and the effect of filler size and dispersion on various biopolymers are discussed in detail. Applications covered include sensors, actuators, optics, fuel cells, photovoltaics, dielectrics, electromagnetic shielding, piezoelectrics, flexible displays, and microwave absorbers. In addition, characterization techniques are discussed and compared, enabling scientists and engineers to make the correct choice of technique. This book is a 'one-stop' reference for researchers, covering the entire state-of-the-art in biopolymer electronics. Written by a collection of expert worldwide contributors from industry, academia, government, and private research institutions, it is an outstanding reference for researchers in the field of biopolymer composites for advanced technologies.

The significant objective of this edited book is to bridge the gap between smart manufacturing and big data by exploring the challenges and limitations. Companies employ big data technology in the manufacturing field to acquire data about the products. Manufacturing companies could gain a deep business insight by tracking customer details, monitoring fuel consumption, detecting product defects, and supply chain management. Moreover, the convergence of smart manufacturing and big data analytics currently suffers due to data privacy concern, short of qualified personnel, inadequate investment, long-term storage management of high-quality data. The technological advancement makes the data storage more accessible, cheaper and the convergence of these technologies seems to be more promising in the recent era. This book identified the innovative challenges in the industrial domains by integrating heterogeneous data sources such as structured data, semi-structures data, geo-spatial data, textual information, multimedia data, social networking data, etc. It promotes data-driven business modelling processes by adopting big data technologies in the manufacturing industry. Big data analytics is emerging as a promising discipline in the manufacturing industry to build the rigid industrial data platforms. Moreover, big data facilitates process automation in the complete lifecycle of product design and tracking. This book is an essential guide and reference since it synthesizes interdisciplinary theoretical concepts, definitions, and models, involved in smart manufacturing domain. It also provides real-world scenarios and applications, making it accessible to a wider interdisciplinary audience. Features The readers will get an overview about the smart manufacturing system which enables optimized manufacturing processes and benefits the users by increasing overall profit The researchers will get insight about how the big data technology leverages in finding new associations, factors and patterns through data stream observations in real time smart manufacturing systems The industrialist can get an overview about the detection of defects in design, rapid response to market, innovative products to meet the customer requirement which can benefit their per capita income in better way Discusses technical viewpoints, concepts, theories, and underlying assumptions that are used in smart manufacturing Information delivered in a user-friendly manner for students, researchers, industrial experts, and business innovators, as well as for professionals and practitioners

The book IoT and Big Data Analytics (IoT-BDA) for Smart Cities - A Global Perspective, emphasizes the challenges, architectural models, and intelligent frameworks with smart decisionmaking systems using Big Data and IoT with case studies. The book illustrates the benefits of Big Data and IoT methods in framing smart systems for smart applications. The text is a coordinated amalgamation of research contributions and industrial applications in the field of smart cities. Features: Provides the necessity of convergence of Big Data Analytics and IoT techniques in smart city application Challenges and Roles of IoT and Big Data in Smart City applications Provides Big Data-IoT intelligent smart systems in a global perspective Provides a predictive framework that can handle the traffic on abnormal days, such as weekends and festival holidays Gives various solutions and ideas for smart traffic development in smart cities Gives a brief idea of the available algorithms/techniques of Big Data and IoT and guides in developing a solution for smart city applications This book is primarily aimed at IT professionals. Undergraduates, graduates, and researchers in the area of computer science and information technology will also find this book useful.

Unique selling point: The Internet of Things (IoT), AI, and analytics are studied on how they can combat pandemics Core audience: Researchers and medical informatics professionals Place in the market: Academic reference title on timely topic also appealing to professionals

With information on the subject of dielectric materials, this volume brings important updates to electronic device engineers and researchers in the area of ferroelectric materials. Topics include materials, processes, properties, and electronic devices based on these materials and systems.

Provides strong and accessible theoretical bases to swarm intelligence algorithms, from particle optimization to bioinspired and meta-heuristic algorithms Presents emerging meta-heuristic algorithms and applications Provides overviews on Python and R based computing libraries for swarm intelligence and meta-heuristic algorithms Presenting real-world applications, especially on Industry, Medicine and Biology.