This reference text provides the theoretical foundations, the emergence, and the application areas of Blockchain in an easy-to-understand manner that would be highly helpful for the researchers, academicians, and industry professionals to understand the disruptive potentials of Blockchain. It explains Blockchain concepts related to Industry 4.0, Smart Healthcare, and the Internet of Things (IoT) and explores Smart Contracts and Consensus algorithms. This book will serve as an ideal reference text for graduate students and academic researchers in electrical engineering, electronics and communication engineering, computer engineering, and information technology. This book * Discusses applications of blockchain technology in diverse sectors such as industry 4.0, education, finance, and supply chain. * Provides theoretical concepts, applications, and research advancements in the field of blockchain. * Covers industry 4.0 digitization platform and blockchain for data management in industry 4.0 in a comprehensive manner. * Emphasizes analysis and design of consensus algorithms, fault tolerance, and strategy to choose the correct consensus algorithm. * Introduces security issues in the industrial internet of things, internet of things, blockchain integration, and blockchain-based applications. The text presents in-depth coverage of theoretical concepts, applications and advances in the field of blockchain technology. This book will be an ideal reference for graduate students and academic researchers in diverse engineering fields such as electrical, electronics and communication, computer, and information technology.

This book offers a systematic presentation of persymmetric adaptive detection, including detector derivations and the definition of key concepts, followed by detailed discussion relating to theoretical underpinnings, design methodology, design considerations, and techniques enabling its practical implementation. The received data for modern radar systems are usually multichannel, namely, vector-valued, or even matrix-valued. Multichannel signal detection in Gaussian backgrounds is a fundamental problem for radar applications. With an overarching focus on persymmetric adaptive detectors, this book presents the mathematical models and design principles necessary for analyzing the behavior of each kind of persymmetric adaptive detector. Building upon that, it also introduces new design approaches and techniques that will guide engineering students as well as radar engineers toward efficient detector solutions, especially in challenging sample-starved environments where training data are limited. This book will be of interest to students, scholars, and engineers in the field of signal processing. It will be especially useful for those who have a solid background in statistical signal processing, multivariate statistical analysis, matrix theory, and mathematical analysis.

Focussing on micro- and nanoelectronics design and technology, this book provides thorough analysis and demonstration, starting from semiconductor devices to VLSI fabrication, designing (analog and digital), on-chip interconnect modeling culminating with emerging non-silicon/ nano devices. It gives detailed description of both theoretical as well as industry standard HSPICE, Verilog, Cadence simulation based real-time modeling approach with focus on fabrication of bulk and nano-devices. Each chapter of this proposed title starts with a brief introduction of the presented topic and ends with a summary indicating the futuristic aspect including practice questions. Aimed at researchers and senior undergraduate/graduate students in electrical and electronics engineering, microelectronics, nanoelectronics and nanotechnology, this book: Provides broad and comprehensive coverage from Microelectronics to Nanoelectronics including design in analog and digital electronics. Includes HDL, and VLSI design going into the nanoelectronics arena. Discusses devices, circuit analysis, design methodology, and real-time simulation based on industry standard HSPICE tool. Explores emerging devices such as FinFETs, Tunnel FETs (TFETs) and CNTFETs including their circuit co-designing. Covers real time illustration using industry standard Verilog, Cadence and Synopsys simulations.

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.

-Covers advanced applications of ferromagnetic nanomaterials in various areas. -Provides novel approaches used to induce and tune ferromagnetism in nanomaterials for spintronic devices. - Explores newer nanomaterials including emerging 2D nanomaterials for their wide applications ranging from devices to biomedicals. -Provide new directions to scientists, researchers, and students to better understand the principle, technologies, and applications of nanomagnetism.

Updates content and introduces topics such as business changes and outsourcing. Addresses new cyber security risks such as IoT and Distributed Networks (i.e., blockchain). Covers strategy based on the OODA loop in the cycle. Demonstrates application of the concepts through short case studies of real-world incidents chronologically delineating related events. Discusses certifications and reference manuals in cyber security and digital forensics. Includes an entire chapter on tools used by professionals in the field.

The text provides a comprehensive overview of the design aspects of the internet of things devices and covers the fundamentals of big data and data science. It explores various scenarios such as what are the middleware and frameworks available and how to build a stable, standards-based, and Secure internet of things device. It discusses important concepts including embedded programming techniques, machine-to-machine architecture, and the internet of things for smart city applications. It will serve as an ideal design book for professionals, senior undergraduate, and graduate students in the fields including electrical engineering, electronics and communication engineering, and computer engineering. The book- Covers applications and architecture needed to deliver solutions to end customers and readers. Discusses practical aspects of implementing the internet of things in diverse areas including manufacturing, and software development. Highlights big data concepts and embedded programming techniques. Presents technologies including machine to machine, integrated sensors, and radio-frequency identification. Introduces global system for mobile communication and precise details of standards based on internet of things architecture models. The book focuses on practical design aspects such as how to finalize a processor integrated circuit, which operating system to use, etc. in a single volume. It will serve as an ideal text for professionals, senior undergraduate, and graduate students in diverse engineering domains including electrical, electronics and communication, computer.

This book describes in detail the construction and working principle of a variety of commercially available hysteresis machines. The last part of the book is devoted to a comprehensive study of an experimental hysteresis machine. The contents of this part derive entirely from the experimental and analytical work carried out by the author during his doctoral research at the University of Aston in the UK. The exhaustive range of tests and measurements, obtained by the use of uniquely devised transducers and techniques-many of these having been evolved for the first time-showcase numerous aspects of a hysteresis machine. These relate mainly to the measured waveforms of radial and peripheral flux density in the airgap and active part of the rotor as influenced by the hysteretic properties of the rotor material. Print edition not for sale in South Asia (India, Sri Lanka, Nepal, Bangladesh, Pakistan or Bhutan).

2D Materials for Infrared and Terahertz Detectors provides an overview of the performance of emerging detector materials, while also offering, for the first time, a comparison with traditional materials used in the fabrication of infrared and terahertz detectors. Since the discovery of graphene, its applications to electronic and optoelectronic devices have been intensively researched. The extraordinary electronic and optical properties allow graphene and other 2D materials to be promising candidates for infrared (IR) and terahertz (THz) photodetectors, and yet it appears that the development of new detectors using these materials is still secondary to those using traditional materials. This book explores this phenomenon, as well as the advantages and disadvantages of using 2D materials. Special attention is directed toward the identification of the most-effective hybrid 2D materials in infrared and terahertz detectors, as well as future trends. Written by one of the world's leading researchers in the field of IR optoelectronics, this book will be a must-read for researchers and graduate students in photodetectors and related fields. Features * Offers a comprehensive overview of the different types of 2D materials used in fabrication of IR and THz detectors, and includes their advantages/disadvantages * The first book to compare new detectors to a wide family of common, commercially available detectors that use traditional materials.

This new volume, Deep Learning in Visual Computing and Signal Processing, covers the fundamentals and advanced topics in designing and deploying techniques using deep architectures and their application in visual computing and signal processing. The volume first lays out the fundamentals of deep learning as well as deep learning architectures and frameworks. It goes on to discuss deep learning in neural networks and deep learning for object recognition and detection models. It looks at the various specific applications of deep learning in visual and signal processing, such as in biorobotics, for automated brain tumor segmentation in MRI images, in neural networks for use in seizure classification, for digital forensic investigation based on deep learning, and more. Key features: Covers both the fundamentals and the latest concepts in deep learning Presents some of the diverse applications of deep learning in visual computing and signal processing Includes over 90 figures and tables to elucidate the text An enlightening amalgamation of deep learning concepts with visual computing and signal processing applications, this valuable resource will serve as a guide for researchers, engineers, and students who want to have a quick start on learning and/or building deep learning systems. It provides a good theoretical and practical understanding and complete information and knowledge required to understand and build deep learning models from scratch.

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.

Printed antennas have become an integral part of next-generation wireless communications and have been found to be commonly used to improve system capacity, data rate, reliability, etc. This book covers theory, design techniques, and the chronological regression of the printed antennas for various applications. This book will provide readers with the basic conceptual knowledge about antennas along with advanced techniques for antenna design. It covers a variety of analytical techniques and their CAD applications and discusses new applications of printed antenna technology such as sensing. The authors also present special reconfigurable antennas such as ME dipole, polarization, feeding, and DGS. The book will be useful to students as an introduction to design and applications of antennas. Additionally, experienced researchers in this field will find this book a ready reference and benefit from the techniques of research in printed antennas included in this book. Following are some of the salient features of this book: Covers a variety of analytical techniques and their CAD applications Discusses new applications of printed antenna technology such as sensing Examines the state of design techniques of printed antenna Presents special reconfigurable antennas such as ME dipole, polarization, feeding, and DGS

SDN-Supported Edge-Cloud Interplay for Next Generation Internet of Things is an invaluable resource coveringa wide range of research directions in the field of edge-cloud computing, SDN, and IoT. The integration of SDN in edge-cloud interplay is a promising framework for enhancing the QoS for complex IoT-driven applications. The interplay between cloud and edge solves some of the major challenges that arise in traditional IoT architecture. This book is a starting point for those involved in this research domain and explores a range of significant issues including network congestion, traffic management, latency, QoS, scalability, security, and controller placement problems. Features: The book covers emerging trends, issues and solutions in the direction of Edge-cloud interplay It highlights the research advances in on SDN, edge, and IoT architecture for smart cities, and software-defined internet of vehicles It includes detailed discussion has made of performance evaluations of SDN controllers, scalable software-defined edge computing, and AI for edge computing Applications areas include machine learning and deep learning in SDN-supported edge-cloud systems Different use cases covered include smart health care, smart city, internet of drones, etc This book is designed for scientific communities including graduate students, academicians, and industry professionals who are interested in exploring technologies related to the internet of things such as cloud, SDN, edge, internet of drones, etc.

1) The textbook will provide the readers with a comprehensive theoretical and technical foundation of the mobile and wireless communication systems. 2) The textbook will include the latest advancements in technologies. 5 Information Classification: General 3) The textbook will include practical use-case scenarios using software that is also used in Industry (e.g., Altair Winprop). 4) The textbook will also present an introduction into Machine Learning techniques for Internet of Things with practical use case scenarios using Phyton, TensorFlow and Jupiter. 5) The textbook will also introduce the reader to key enabling technologies and concepts, like Digital Twins.

The proposed title intends to provide a comprehensive view of emerging paradigms of computer science. The initial chapters will introduce various emerging paradigms and discuss research challenges related to them. Then some of the chapters will focus on the research solutions to address the identified challenges. The last few chapters will provide a discussion on future research directions.

This interdisciplinary book, Advanced Microscopy: A Strong Analytical Tool in Materials Science, covers the methodology and applications of different advanced microscopic techniques in various research fields, including chemistry, nanotechnology, polymers, chemical engineering, and biomedical engineering, providing an informative overview that helps to determine the best applications for advanced materials. Materials usually behave very differently at nanoscale in all aspects, and this volume shows how microscopy can help provide a detailed understanding of materials such as semiconductors, metals, polymers, biopolymers, etc. The volume illustrates advanced microscopic techniques that include scanning electron microscopy (SEM), transmission electron microscopy (TEM), atomic force microscopy (AFM), confocal microscopy, and others. The microscopy techniques presented in the volume show applications in many areas of science, including botany and plant science, medicine, nanotechnology, chemistry, food science, waste management, and others. This book presents the diverse advanced microscopic techniques for researchers, giving a better understanding as well as implementation of novel techniques in materials science.

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.

Energy Harvesting: Enabling IoT Transformations gives insight into the emergence of energy harvesting technology and its integration with IoT-based applications. The book educates the reader on how energy is harvested from different sources, increasing the effectiveness, efficiency and lifetime of IoT devices. * Discusses the technology and practices involved in energy harvesting for biomedical, agriculture and automobile industries * Compares the performance of IoT-based devices with and without energy harvesting for different applications * Studies the challenges and issues in the implementation of EH-IoT * Includes case studies on energy-harvesting approach for solar, thermal and RF sources * Analyzes the market and business opportunities for entrepreneurs in the field of EH-IoT. This book is primarily aimed at graduates and research scholars in wireless sensor networks. Scientists and R&D workers in industry will also find this book useful.

Showcases the state-of-the-art research in the area of AI with specific consideration to engineering, management and safety of civil construction. Offers detailed insights towards applying AI into design, construction and maintenance of infrastructure Leverages the various sub-disciplines of AI to arrive at modern, smart, and safe infrastructure as well as achieve a synergy between users/commuters and such structures. Covers practical case studies of primary interest to students, researchers, engineers, social scientists and government officials.

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.

Facilitates good understanding of concepts of emerging 2D materials and its applications Covers details of highly sensitive sensors using 2D materials for environmental monitoring Outlines the role of 2D materials in improvement of energy harvesting and storage Details application in biosensing and healthcare for the realization of next-generation biotechnologies for personalized health monitoring and so forth Provides exclusive coverage of inorganic 2D MXenes compounds

The idea behind this book is to simplify the journey of aspiring readers and researchers to understand the convergence of Big Data with the Cloud. This book presents the latest information on the adaptation and implementation of Big Data technologies in various cloud domains and Industry 4.0. Synergistic Interaction of Big Data with Cloud Computing for Industry 4.0 discusses how to develop adaptive, robust, scalable, and reliable applications that can be used in solutions for day-to-day problems. It focuses on the two frontiers - Big Data and Cloud Computing - and reviews the advantages and consequences of utilizing Cloud Computing to tackle Big Data issues within the manufacturing and production sector as part of Industry 4.0. The book unites some of the top Big Data experts throughout the world who contribute their knowledge and expertise on the different aspects, approaches, and concepts related to new technologies and novel findings. Based on the latest technologies, the book offers case studies and covers the major challenges, issues, and advances in Big Data and Cloud Computing for Industry 4.0. By exploring the basic and high-level concepts, this book serves as a guide for those in the industry, while also helping beginners and more advanced learners understand both basic and more complex aspects of the synergy between Big Data and Cloud Computing.

This book presents the current research on space-based navigation models and the contents of spaces used for seamless indoor and outdoor navigation. It elaborates on 3D spaces reconstructed automatically and how indoor, semi-indoor, semi-outdoor, and outdoor spaces can mimic the indoor environments and originate a network based on the 3D connectivity of spaces. Case studies help readers understand theories, approaches, and models, including data preparation, space classification and reconstruction, space selection, unified space-based navigation model derivation, path planning, and comparison of results. Features: Provides novel models, theories, and approaches for seamless indoor and outdoor navigation path planning Includes real-life case studies demonstrating the most feasible approaches today Presents a generic space definition framework that can be used in research areas for spaces shaped by built structures Develops a unified 3D space-based navigation model that allows the inclusion of all types of spaces as 3D spaces and utilizes them for seamless navigation in a unified way Intended to motivate further research and developments, this book suits students, researchers, and practitioners in the field, and serves as a helpful introductory text for readers wanting to engage in seamless indoor/outdoor navigation research and teaching.

- This book covers the production of dissertations in an area where students are much more comfortable writing code than writing academically. - With practical examples of bachelor dissertations and practical research methods utilised in the field of computer science and computer games such as survey methodologies, experimental methodologies, case studies, analysis techniques and reporting techniques, this book will break down the sometimes complicated-seeming nature of the dissertation. - Written to be concise yet comprehensive and with easily accessible language and examples, this book will take the mystery out of undergraduate dissertations in this field.

Blockchain: Principles and Applications in IoT covers all the aspects of Blockchain and its application in IOT. The book focuses on Blockchain, its features, and the core technologies that are used to build the Blockchain network. The gradual flow of chapters traces the history of blockchain from cryptocurrencies to blockchain technology platforms and applications that are adopted by mainstream financial and industrial domains worldwide due to their ease of use, increased security and transparency. * Focuses on application of Blockchain on IoT domain * Focuses on Blockchain as a data repository * Most books on Blockchain cover bitcoins and crypto currency. This book will also cover blockchain in other areas like healthcare, supply chain management, etc * Covers consensus algorithms like PAROX, RAFT etc. and its applications This book is primarily aimed at graduates and researchers in computer science and IT.