Includes specific pedagogy used in engineering teaching Offers case studies and classroom practices used by engineering institutions Discusses innovative strategies used in lockdown days during COVID-19 pandemic Presents guidelines and comparisons on various national and international accreditation bodies Explores cost effective technologies and open source tools specifically used for low income educational institutions

As technology continues to advance and the interconnection of various devices makes our lives easier, it also puts us at further risk of privacy and security threats. Phones can connect to household devices to help set alarms, turn on or off the lights, and even preheat ovens. The Internet of Things (IoT) is this symbiotic interplay of smart devices that collect data and make intelligent decisions. However, the lack of an intrinsic security measure within IoT makes it especially vulnerable to privacy and security threats. Blockchain and IoT Integration highlights how Blockchain, an encrypted, distributed computer filing system, can be used to help protect IoT against such privacy and security breaches. The merger of IoT and blockchain technology is a step towards creating a verifiable, secure, and permanent method of recording data processed by "smart" machines. The text explores the platforms and applications of blockchain-enabled IoT as well as helps clarify how to strengthen the IoT security found in healthcare systems as well as private homes. Other highlights of the book include: Overview of the blockchain architecture Blockchain to secure IoT data Blockchain to secure drug supply chain and combat counterfeits Blockchain IoT concepts for smart grids, smart cities, and smart homes A biometric-based blockchain enabled payment system IoT for smart healthcare monitoring systems

Provides a glimpse of the recent developments in metamaterial research Introduces new metamaterial designs to be used in the microwave and optical regimes Discusses the usefulness of new designs in developing absorbers and/or sensors Explores the platforms for future technology of embedded systems

The advances in semiconductor detectors, scintillators, photodetectors such as silicon photomultipliers (SiPM), and reaodut electronics have experienced tremendous growth in recent years in terms of basic technologies and variety of applications.The second edition of the book Radiation Detection Systems presents variety of radiation detection systems giving readers a broad view of the state-of-the-art in the design of detectors, front-end electronics and systems offering optimized choices of the detection tools for a particular application. The new edition has been divided into two volumes. This first volume, on Sensor Materials, Systems, Technology and Characterization Measurements puts emphasis on sensor materials, detector structures, front electronics technology and their designs as well as system optimization for different applications. Also, the book include characterization measurements of the developed detection systems. Featuring contributions from leading experts and pioneers in their respective fields, this book * describes progress in growth technologies of cadmium zinc telluride (CdZnTe) and cadmium telluride (CdTe) materials * shows variety of specific detector structure designs and their integration with front-end amplification/processing electronics * presents detection systems based on CdZnTe and CdTe detector technologies that are optimized for specific applications. The designed systems are characterized in terms of their spectral responses, spatial and timing resolutions * addresses incomplete charge collection, pulse pileup, charge sharing between neighboring detector pixels and other phenomena that can degrade the spectral response of photon-counting detectors * reports new developments of silicon photomultipliers used for reading the light from scintillators that starting to make a big impact particularly in the design concepts of novel medical instrumentation With its combined coverage of new materials and innovative new system approaches, as well as a succinct overview of recent developments, this book is an invaluable tool for any engineer, professional, or student working in electronics or an associated field. Readers can refer to the second book to get a detailed understanding of more specific applications of the detection systems in medical imaging, industrial testing and security applications.

* describes new advances in development of detection systems based on CdZnTe (CZT) and CdTe detectors utilizing a direct conversion of radiation to electric signals * reports a recent progress in technologies and performance of silicon photomultipliers (SiPM) used for reading the light from scintillators * explores exciting new application opportunities created by development of the cutting-edge detection technologies in X-ray spectroscopy, Computed Tomography (CT), bone dosimetry, and nuclear medicine (PET, SPECT) * considers the future use of photon counting detectors in clinical computed tomography (CT) scanners providing K-edge imaging to reduce the amount of contrast agents and ultimately offering both an anatomical and a functional information * describes, uses of radiation detection systems in security applications such as luggage scanning, dirty bomb detection, and border control

Over the last few decades wireless communications, especially Mobile Communication Technology, has evolved by leaps and bounds. The mobile communication industry has named the different major changes as generations namely 1G, 2G,..5G. We are presently looking at deployment of 5G technologies. The work for 6G has already started. This book is focused on the waveform design of 6G. It presents a discourse on a potential waveform for 6G namely Orthogonal Time Frequency Space (OTFS) modulation. OTFS has a distinct feature when compared to earlier generation waveforms such that information bearing signal is placed in the delay Doppler domain as opposed to the usual placement of such signals in the time-frequency domain. This unique feature of OTFS enables it to overcome several disadvantages of a very popular and highly successful waveform namely Orthogonal Frequency Division Multiplexing (OFDM). OTFS is known to be more resilient to frequency offset and Doppler which is one of the key drawbacks of OFDM. With this feature, OTFS, can support higher mobility as well as higher frequency bands of operation which is also one of the key requirements of the next generation wireless communication technologies. The implementation complexity of OTFS remains comparable to that of OFDM. It is found that OTFS provides significant SNR advantage, higher resilience, lower PAPR, lower out of band signal leakage and higher multi-user spectral efficiency than that of OFDM. This book addresses * Fundamental signal model of OTFS. * Receiver design for OTFS * Channel estimation in OTFS * Multiple Access through non-orthogonal multiple access (NOMA-OTFS) The contents of the books are primarily outcome of the research work done at the G. S. Sanyal School of Telecommunications, Indian Institute of Technology Kharagpur, Kharagpur, India. Orthogonal Time Frequency Space Modulation : A waveform for 6G is ideal for personnel the wireless communication industry as well as academic staff and master/research students in electrical engineering with a specialization in wireless communications.

Presents the latest global achievements in the processing and applications of high-Tc superconductors Discusses large-scale applications of high-temperature superconducting materials Contains contributions from several eminent scientists

Discusses the method to grow not only graphene over Cu but also allows the reader to know how to optimize graphene growth, using statistical design of experiments, on Cu interconnects in order to obtain good-quality and reliable interconnects Provides the basic understanding of graphene-Cu interaction mechanism Introduces a novel graphene growth process and graphene-assisted electroless copper plating

Black phosphorus (BP)-based two-dimensional (2D) nanomaterials are used as components in practical industrial applications in biomedicine, electronics, and photonics. There is a need to controllably shape engineered scalable structures of 2D BP building blocks, and their assembly/organization is desired for the formation of three-dimensional (3D) forms such as macro and hybrid architectures, as it is expected that these architectures will deliver even better materials performance in applications. Semiconducting Black Phosphorus: From 2D Nanomaterial to Emerging 3D Architecture provides an overview of the various synthetic strategies for 2D BP single-layer nanomaterials, their scalable synthesis, properties, and assemblies into 3D architecture. The book covers defect engineering and physical properties of black phosphorous; describes different strategies for the development of 2D nanostructures of BP with other species such as polymers, organic molecules, and other inorganic materials; offers a comparative study of 3D BP structures with other 3D architectures such as dichalcogenides (TMDs, graphene, and boron nitride); and discusses in detail applications of 3D macrostructures of BP in various fields such as energy, biomedical, and catalysis. This is an essential reference for researchers and advanced students in materials science and chemical, optoelectronic, and electrical engineering.

This book provides an overview of distributed control and distributed optimization theory, followed by specific details on industrial applications to smart grid systems. It discusses the fundamental analysis and design schemes for developing actual working smart grids and covers all aspects concerning the conventional and nonconventional methods of their use. Hybrid Intelligence for Smart Grid Systems provides an overview of a smart grid, along with its needs, benefits, challenges, and existing structure and describes the inverter topologies adopted for integrating renewable power, and provides an overview of its needs, benefits, challenges, and possible future technologies. This pioneering book is a must-read for researchers, engineering professionals, and students, giving them the tools needed to move from the concept of a smart grid to its actual design and implementation. Moreover, it will enable regulators, policymakers, and energy executives to understand the future of energy delivery systems towards safe, economical, high-quality power delivery in a dynamic and demanding environment.

Provides motivation for developing mathematical models for telecommunications network power and energy efficiency modelling. Discusses factors impacting overall network power consumption. Includes types of network equipment and their power consumption profiles. Reviews basics of network power modelling including network segmentation, top-down and bottom-up models. Explores application of metrics for equipment, networks, and services.

Artificial Intelligence: Technologies, Applications, and Challenges is an invaluable resource for readers to explore the utilization of Artificial Intelligence, applications, challenges, and its underlying technologies in different applications areas. Using a series of present and future applications, such as indoor-outdoor securities, graphic signal processing, robotic surgery, image processing, character recognition, augmented reality, object detection and tracking, intelligent traffic monitoring, emergency department medical imaging, and many more, this publication will support readers to get deeper knowledge and implementing the tools of Artificial Intelligence. The book offers comprehensive coverage of the most essential topics, including: Rise of the machines and communications to IoT (3G, 5G). Tools and Technologies of Artificial Intelligence Real-time applications of artificial intelligence using machine learning and deep learning. Challenging Issues and Novel Solutions for realistic applications Mining and tracking of motion based object data image processing and analysis into the unified framework to understand both IoT and Artificial Intelligence-based applications. This book will be an ideal resource for IT professionals, researchers, under or post-graduate students, practitioners, and technology developers who are interested in gaining insight to the Artificial Intelligence with deep learning, IoT and machine learning, critical applications domains, technologies, and solutions to handle relevant challenges.

How do preprocessing steps such as tokenization, stemming, and removing stop words affect predictive models? Build beginning-to-end workflows for predictive modeling using text as features Compare traditional machine learning methods and deep learning methods for text data

The fusion of AI and IoT enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, and ultimately to autonomous intelligence. This book discusses algorithmic applications in the field of machine learning and IoT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. Pertinent applications described include speech recognition, medical diagnosis, optimizations, predictions, and security aspects. Features: Focuses on algorithmic and practical parts of the artificial intelligence approaches in IoT applications. Discusses supervised and unsupervised machine learning for IoT data and devices. Presents an overview of the different algorithms related to Machine learning and IoT. Covers practical case studies on industrial and smart home automation. Includes implementation of AI from case studies in personal and industrial IoT. This book aims at Researchers and Graduate students in Computer Engineering, Networking Communications, Information Science Engineering, and Electrical Engineering.

Is the goal of a transition to clean energy at all realistic? If so, how could it be accomplished? Climate change poses a formidable challenge for twenty-first-century governments. Unless they can move to a clean energy system built on efficiency, renewables, electrification, and possibly complementary technologies like nuclear energy and carbon capture and storage, it will be all but impossible to avoid the worst impacts of climate change. In this book, Daniel Fiorino provides a comprehensive introduction to the politics and policies of a clean energy transition and how it may unfold nationally and globally. Across its nine chapters, he explores the current energy landscape and the different pathways and pitfalls on the road to decarbonization. All scenarios for decarbonizing, he argues, rely on aggressive efficiency, the rapid scale-up of renewables, and the electrification of most of what is left. Yet this transition has to be accelerated and done effectively. There is little time left for second chances if we are to decarbonize later this century. The Clean Energy Transition will be an indispensable resource for students of energy politics, environmental studies, and public policy, as well as anyone interested in the energy issues of the day.

This book provides an integrated solution for security and safety in the home, covering both assistance in health monitoring and safety from strangers/intruders who want to enter the home with harmful intentions. It defines a system whereby recognition of a person/stranger at the door is done using three modules: Face Recognition, Voice Recognition and Similarity Index. These three modules are taken together to provide a percentage likelihood that the individual is in the "known" or "unknown" category. The system can also continuously monitor the health parameters of a vulnerable person living alone at home and aid them in calling for help in an emergency. The authors have analyzed a number of existing biometric techniques to provide security for an individual living alone at home. These biometric techniques have been tested using MATLAB (R) image processing and signal processing toolboxes, and results have been calculated on the basis of recognition rate. A major contribution in providing security is a hybrid algorithm proposed by the author named PICA, which combines features of both PCA (Principle Component Analysis) and ICA (Independent Component Analysis) algorithms. This hybrid approach gives better performance recognition than either system alone. The second proposed hybrid algorithm for voice recognition is named as a MFRASTA algorithm by combining features of MFCC (Mel Frequency Cepstral Coefficient) and RASTA-PLP (RelAtive SpecTrA-Perceptual Linear Prediction) algorithm. After performing experiments, results are collected on the basis of recognition rate. The authors have also proposed a third technique named as a Similarity Index to provide trust-based security for an individual. This technique is text independent in which a person is recognized by pronunciation, frequency, tone, pitch, etc., irrespective of the content spoken by the person. By combining these three techniques, a high recognition rate is provided to the person at the door and high security to the individual living independently at home. In the final contribution, the authors have proposed a fingertip-based application for health monitoring by using the concept of sensors. This application is developed using iPhone 6's camera. When a person puts their fingertip on a camera lens, with the help of brightness of the skin, the person's heartbeat will be monitored. This is possible even with a low-quality camera. In case of any emergency, text messages will be sent to the family members of the individual living alone by using 3G Dongle and MATLAB tool. Results show that the proposed work outperforms all the existing techniques used in face recognition, voice recognition, and health monitoring alone.

Provides essential insight on uses of different AI techniques for pattern recognition, classification, prediction and estimation, exclusive to power system protection issues Presents introduction to enhanced electricity system analysis using decision-making tools Covers AI Applications in different protective relaying functions Discusses Issues and challenges in the protection of transmission and distribution systems Includes dedicated chapter on case studies, and applications

This comprehensive reference text discusses fundamental concepts, applications, design techniques, and challenges in the field of planar antennas. The text focuses on recent advances in the field of planar antenna design and their applications in various fields of research, including space communication, mobile communication, wireless communication, and wearable applications. This resource presents planar antenna design concepts, methods, and techniques to enhance the performance parameters and applications for IoTs and device-to-device communication. The latest techniques used in antenna design, including their structures defected ground, MIMO, and fractal design, are discussed comprehensively. The text will be useful for senior undergraduate students, graduate students, and academic researchers in fields including electrical engineering, electronics, and communication engineering.

Provides a structured look, at the unique characteristic for smart sensor networks to resolving the issues of many real-world applications in a broad range of areas such as Smart Healthcare, Engineering, Scientific Research, Social Media, Industrial Automation and more Offers a systematic look at the unique characteristics of AI based wireless sensor networks through their usage in a broad range of areas Delivers recent trends and core concepts in both analytics and application in smart sensor networks using AI Explores the development and application of AI and evolutionary computing as applied to wireless sensor networks Focuses on stepwise discussion, exhaustive literature review, detailed analysis and discussion, rigorous experimentation result and an application-oriented approach.

This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of deep learning (DL)-based data analytics of IoT (Internet of Things) infrastructures. Deep Learning for Internet of Things Infrastructure addresses emerging trends and issues on IoT systems and services across various application domains. The book investigates the challenges posed by the implementation of deep learning on IoT networking models and services. It provides fundamental theory, model, and methodology in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT. The book also explores new functions and technologies to provide adaptive services and intelligent applications for different end users. FEATURES Promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of DL-based data analytics of IoT infrastructures Addresses emerging trends and issues on IoT systems and services across various application domains Investigates the challenges posed by the implementation of deep learning on IoT networking models and services Provides fundamental theory, model, and methodology in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT Explores new functions and technologies to provide adaptive services and intelligent applications for different end users Uttam Ghosh is an Assistant Professor in the Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, USA. Mamoun Alazab is an Associate Professor in the College of Engineering, IT and Environment at Charles Darwin University, Australia. Ali Kashif Bashir is a Senior Lecturer/Associate Professor and Program Leader of BSc (H) Computer Forensics and Security at the Department of Computing and Mathematics, Manchester Metropolitan University, United Kingdom. Al-Sakib Khan Pathan is an Adjunct Professor of Computer Science and Engineering at the Independent University, Bangladesh.

Provides knowledge on decision making for newly evolving microgrids Discusses techniques on how to improve the quality of power networks by reducing load shedding, power imbalances, and differences between supply and demand during peak hours Offers a collection of knowledge on new techniques for microgrid design Presents emerging fields that now play an important role in microgrid design such as, data science, machine learning, AI, and IT The first book to cover the new trend in the power infrastructure and include areas such as computer science, electrical engineering, electronics engineering and energy engineering

The electronic device based on Metal Oxide Semiconductor (MOS) structure is the most important component of a large-scale integrated circuit, and is therefore a fundamental building block of the information society. Indeed, high quality MOS structure is the key to achieving high performance devices and integrated circuits. Meanwhile, the control of interface physics, process and characterization methods determine the quality of MOS structure. This book tries to answer five key questions: Why are high-performance integrated circuits bonded together so closely with MOS structure? Which physical phenomena occur in MOS structure? How do these phenomena affect the performance of MOS structure? How can we observe and quantify these phenomena scientifically? How to control the above phenomena through process? Principles are explained based on common experimental phenomena, from sensibility to rationality, via abundant experimental examples focusing on MOS structure, including specific experimental steps with a strong level of operability. This book will be an essential reference for engineers in semiconductor related fields and academics and postgraduates within the field of microelectronics.

Discusses the challenges of automation and automated systems, when humans are left out of the loop, but need to intervene when necessary Provides human control and accepting that humans must handle the unexpected and describes methods to support this Based on recent accident analysis involving autonomous systems and helping to move our understanding forward Supports a more modern view on human errors in order to improve safety in the shipping/marine industry Describes human centered design as a fundamental issue to support the ability of sensemaking

The advanced AI techniques are essential for resolving various problematic aspects emerging in the field of bioinformatics. This book covers the recent approaches in artificial intelligence and machine learning methods and their applications in Genome and Gene editing, cancer drug discovery classification, and the protein folding algorithms among others. Deep learning, which is widely used in image processing, is also applicable in bioinformatics as one of the most popular artificial intelligence approaches. The wide range of applications discussed in this book are an indispensable resource for computer scientists, engineers, biologists, mathematicians, physicians, and medical informaticists. Features: Focusses on the cross-disciplinary relation between computer science and biology and the role of machine learning methods in resolving complex problems in bioinformatics Provides a comprehensive and balanced blend of topics and applications using various advanced algorithms Presents cutting-edge research methodologies in the area of AI methods when applied to bioinformatics and innovative solutions Discusses the AI/ML techniques, their use, and their potential for use in common and future bioinformatics applications Includes recent achievements in AI and bioinformatics contributed by a global team of researchers

A distinctive discussion of the nonlinear dynamical phenomena of semiconductor lasers.
The book combines recent results of quantum dot laser modeling with mathematical details and an analytic understanding of nonlinear phenomena in semiconductor lasers and points out possible applications of lasers in cryptography and chaos control. This interdisciplinary approach makes it a unique and powerful source of knowledge for anyone intending to contribute to this field of research.
By presenting both experimental and theoretical results, the distinguished authors consider solitary lasers with nano-structured material, as well as integrated devices with complex feedback sections. In so doing, they address such topics as the bifurcation theory of systems with time delay, analysis of chaotic dynamics, and the modeling of quantum transport. They also address chaos-based cryptography as an example of the technical application of highly nonlinear laser systems.