This book explains physical principles, unique benefits, broad categories, implementation aspects, and performance criteria of distributed optical fiber sensors (DOFS). For each kind of sensor, the book highlights industrial applications, which range from oil and gas production to power line monitoring, plant and process engineering, environmental monitoring, industrial fire and leakage detection, and so on. The text also includes a discussion of such key areas as backscattering, launched power limitations, and receiver sensitivity, as well as a concise historical account of the field's development.

Globalization of the integrated circuit (IC) supply chains led to many potential vulnerabilities. Several attack scenarios can exploit these vulnerabilities to reverse engineer IC designs or to insert malicious trojan circuits. Split manufacturing refers to the process of splitting an IC design into multiple parts and fabricating these parts at two or more foundries such that the design is secure even when some or all of those foundries are potentially untrusted. Realizing its security benefits, researchers have proposed split fabrication methods for 2D, 2.5D, and the emerging 3D ICs. Both attack methods against split designs and defense techniques to thwart those attacks while minimizing overheads have steadily progressed over the past decade. This book presents a comprehensive review of the state-of-the-art and emerging directions in design splitting for secure split fabrication, design recognition and recovery attacks against split designs, and design techniques to defend against those attacks. Readers will learn methodologies for secure and trusted IC design and fabrication using split design methods to protect against supply chain vulnerabilities.

Practical Design and Application of Model Predictive Control is a self-learning resource on how to design, tune and deploy an MPC using MATLAB (R) and Simulink (R). This reference is one of the most detailed publications on how to design and tune MPC controllers. Examples presented range from double-Mass spring system, ship heading and speed control, robustness analysis through Monte-Carlo simulations, photovoltaic optimal control, and energy management of power-split and air-handling control. Readers will also learn how to embed the designed MPC controller in a real-time platform such as Arduino (R). The selected problems are nonlinear and challenging, and thus serve as an excellent experimental, dynamic system to show the reader the capability of MPC. The step-by-step solutions of the problems are thoroughly documented to allow the reader to easily replicate the results. Furthermore, the MATLAB (R) and Simulink (R) codes for the solutions are available for free download. Readers can connect with the authors through the dedicated website which includes additional free resources at www.practicalmpc.com.

This book reviews the applications, technologies, standards, and other issues related to Smart Cities. The book is divided into broad topical sections including Vision & Reality, Technologies & Standards, Transportation Considerations, and Infrastructure & Environment. In these sections, authors who are experts in their fields present essential aspects of applications, technologies, requirements, and best-practices. In all cases, the authors have direct, substantive experience with the subject and present an important viewpoint driven by industry or governmental interests; the authors have each participated in the development and/or deployment of constituent technologies, standards, and applications, and share unique perspectives on key areas of the Smart City.

China's Belt and Road Initiatives (BRI) is an ambitious infrastructure project conceived in 2013 by President Xi Jinping with development and investment initiatives stretching from Asia and Europe that reflect the original Silk Road with business networks through countries such as Afghanistan, Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan, as well as India and Pakistan, spanning a route of more than four thousand miles and history that can be dated back more than 2200 years. Given the background of China's unique approach in fighting the COVID-19, and against the backdrop of sluggish economic growth, innovation and management within the sustainable development of BRI will be the key and the driving force for the post-pandemic economic recovery for many countries, especially when BRI countries now accounts for nearly 30% of China's foreign trade and 15% of outward direct investment. The vision to create a vast network of railways, energy pipelines, highways, and streamlined border crossings to expand the international use of Chinese currency and improve connectivity to China is good foresight and fortuitous with COVID-19 pandemic came to plague the world, and amid in the conflicts between US and China as well as a War between Russia and Ukraine. Since the inception of BRI many books are written to cover topics ranging from globalization to detailing how China's business and politics as a major motivation for China's overseas economic activities with case studies and practices, yet seldom of these books provide structured approach to the sustainable management of BRI projects. This book is about how to manage innovation, sustainability, and business necessary to make BRI works, and how to handle the issues, problems and crisis that may arise thereof. Participants of BRI projects can take many different roles but ultimately it is team effort and leadership for each project. Here the readers will find guidelines and insights to survive and prosper in a myriad of BRI opportunities and risks. Most important of all, this book provides a glimpse of different approach for success in BRI projects, including sustainability, environmental issues, social and political aspects, technological, choice of industry, project management, education and training, governance and many more.

1. Covers latest concepts in intelligent analytics for industry 4.0. 2. Presents the applications of intelligent analytics for various industry 4.0 domains. 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.

Artificial intelligence (AI) and digital engineering have become prevalent in business, industry, government, and academia. However, the workforce still has a lot to learn on how to leverage them. This handbook presents the preparatory and operational foundations for the efficacy, applicability, risk, and how to take advantage of these tools and techniques. "Handbook of Mathematical and Digital Engineering Foundations for Artificial Intelligence: A Systems Methodology" provides a guide for using digital engineering platforms for advancing AI applications. The book discusses an interface of education and research in the pursuit of AI developments and highlights the facilitation of advanced education through AI and digital engineering systems. It presents an integration of soft and hard skills in developing and using AI and offers a rigorous systems approach to understanding and using AI. This handbook will be the go-to resource for practitioners and students on applying systems methodology to the body of knowledge of understanding, embracing, and using digital engineering tools and techniques.

This edited volume on "Recent Advances in Renewable Energy" presents a selection of refereed papers presented at the 1st International Conference on Electrical Systems and Automation. The book provides rigorous discussions, the state of the art, and recent developments in the field of renewable energy sources supported by examples and case studies, making it an educational tool for relevant undergraduate and graduate courses. The book will be a valuable reference for beginners, researchers, and professionals interested in renewable energy.

This book provides insights on how to approach and utilize data science tools, technologies and methodologies related to artificial intelligence (AI) in industrial contexts. It explains the essence of distributed computing and AI-technologies, and their inter-connections. Description of various technology and methodology approaches, and their purpose and benefits when developing AI-solution in industrial contexts is included. In addition, it summarizes experiences from AI technology deployment projects from several industrial sectors. Features: Presents compendium of methodologies and technologies in Industrial AI and digitalization. Illustrates sensor to actuation approach showing complete cycle, that defines and differences AI and digitalization concept. Covers a broad range of academic and industrial issues within the field of asset management. Discusses impact of Industry 4.0 in other sectors. Includes a dedicated chapter on real-time case studies. This book is aimed at researchers and professionals in industrial and software engineering, network security, AI and ML, engineering managers, operational and maintenance specialists, asset managers, digital and AI manufacturing specialists.

MXenes offer single step processing, excellent electrical conductivity, easy heat dissipation behavior, and capacitor-like properties and are used in photodetectors, lithium-ion batteries, solar cells, photocatalysis, electrochemiluminescence sensors, and supercapacitors. Because of their superior electrical and thermal conductivities, these composites are an ideal choice in electromagnetic interference (EMI) shielding. MXene Nanocomposites: Design, Fabrication, and Shielding Applications presents a comprehensive overview of these emerging materials, including their underlying chemistry, fabrication strategies, and cutting-edge applications in EMI shielding. * Covers modern fabrication technologies, processing, properties, nanostructure formation, and mechanisms of reinforcement. * Discuss biocompatibility, suitability, and toxic effects. * Details innovations, applications, opportunities, and future directions in EMI shielding applications. This book is aimed at researchers and advanced students in materials science and engineering and is unique in its detailed coverage of MXene-based polymer composites for EMI shielding.

The text focuses on mathematical modeling and applications of advanced techniques of machine learning, and artificial intelligence, including artificial neural networks, evolutionary computing, data mining, and fuzzy systems to solve performance and design issues more precisely. Intelligent computing encompasses technologies, algorithms, and models in providing effective and efficient solutions to a wide range of problems including the airport's intelligent safety system. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in fields including industrial engineering, manufacturing engineering, computer engineering, and mathematics. The book- Discusses mathematical modeling for traffic, sustainable supply chain, vehicular Ad-Hoc networks, internet of things networks with intelligent gateways. Covers advanced machine learning, artificial intelligence, fuzzy systems, evolutionary computing, data mining techniques for real-world problems. Presents applications of mathematical models in chronic diseases such as kidney and coronary artery diseases. Highlights advances in mathematical modeling, strength, and benefits of machine learning and artificial intelligence, including driving goals, applicability, algorithms, and processes involved. Showcases emerging real-life topics on mathematical models, machine learning, and intelligent computing using an interdisciplinary approach. The text presents emerging real-life topics on mathematical models, machine learning, and intelligent computing in a single volume. It will serve as an ideal text for senior undergraduate, graduate students, and researchers in diverse fields domains including industrial and manufacturing engineering, computer engineering, and mathematics.

Gives broad perspective on 5G communications with a focus on smart cities Discusses artificial intelligence in future wireless communication and its applications Provides a systemic and comprehensive coverage of 6G technologies, challenges and use cases Explores role of future wireless in safety, health, and transport in smart cities Includes case studies of future wireless communications

Provides a comprehensive introduction to aircraft performance and flight dynamics. Covers both jet and propellor-driven aircraft. Includes new content on vertical takeoff and landing, UAV launch, UAV recovery, use of rocket engine as the main engine, range for electric aircraft, electric engine, endurance for electric aircraft, gliding flight, pull-up, and climb-turn. Includes end-of-chapter problems, MATLAB® code and examples, and case studies. Features a Solutions Manual and Figure Slides for instructor use.

The text focuses on the theory, design, and implementation of the Internet of Things (IoT), in a modern communication system. It will be useful to senior undergraduate, graduate students, and researchers in diverse fields domains including electrical engineering, electronics and communications engineering, computer engineering, and information technology. Features: Presents all the necessary information on the Internet of Things in modern computing Examines antenna integration challenges and constraints in the Internet of Things devices Discusses advanced Internet of Things networks and advanced controllers required for modern architecture Explores security and privacy challenges for the Internet of Things-based health care system Covers implementation of Internet of Things security protocols such as MQTT, Advanced Message Queuing Protocol, XMPP, and DSS The text addresses the issues and challenges in implementing communication and security protocols for IoT in modern computing. It further highlights the applications of IoT in diverse areas including remote health monitoring, remote monitoring of vehicle data and environmental characteristics, industry 4.0, 5G communications, and Next-gen IoT networks. The text presents case studies on IoT in modern digital computing. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in diverse fields domains including electrical engineering, electronics and communications engineering, computer engineering, and information technology.

Volume 2 in this series offers research into two specific regions of the electromagnetic spectrum: extremely low frequency fields and radiofrequency radiation, with particular emphasis on the latter. The investigations explore: melatonin synthesis and exposure to extremely low frequency (ELF) fields ELF fields and cancer computational bioelectromagnetics health effects, including the carcinogenic potential of radiofrequency radiation radiofrequency radiation as an energy source for arrhythmia, and practical applications of the radiofrequency exposure standard.

Focusses on prospective scenarios in health to foresight possible futures Addresses the urgent needs of the key population, socio-technical, and health themes Covers health innovative practices as 3D models for surgeries, big data to treat rare diseases, AI robot for heart treatments Explores telemedicine using big data, deep learning, robotics, mobile and remote applications Reviews public health based on predictive analytics and disease trends

The text covers fiber optic sensors for biosensing and photo-detection, graphene and CNT-based sensors for glucose, cholesterol, and dopamine detection, and implantable sensors for detecting physiological, bio-electrical, biochemical, and metabolic changes in a comprehensive manner. It further presents a chapter on sensors for military and aerospace applications. It will be useful for senior undergraduate, graduate students, academic researchers in the fields of electrical engineering, electronics, and communication engineering. The book Discusses implantable sensors for detecting physiological, bio-electrical, biochemical, and metabolic changes. Covers applications of sensors in diverse fields including healthcare, industrial flow, consumer electronics, and military. Includes experimental studies such as the detection of biomolecules using SPR sensors and electrochemical sensors for biomolecule detection. Presents artificial neural networks (ANN) based industrial flow sensor modeling. Highlights case studies on surface plasmon resonance sensors, MEMS-based fluidic sensors, and MEMS-based electrochemical gas sensors. The text presents case studies on surface plasmon resonance sensors, MEMS-based fluidic sensors, and MEMS-based electrochemical gas sensors in a single volume. The text will be useful for senior undergraduate, graduate students, academic researchers in the fields of electrical engineering, electronics, and communication engineering.

This proposed book focuses on the design and development of printed antennas along with modeling aspects for multifaceted applications. It further investigates imperfections in the manufacturing processes and assembly operation during the testing/characterization of printed antennas. This text- Discusses in a comprehensive manner the design and development aspects of printed antennas. Provides fractal engineering aspects for miniaturization and wideband characteristics of the low-profile antenna with high performances. Covers high gain printed antenna for Terahertz application. Showcases electrical modeling of smart antennas. Pedagogical features such as review questions based on practical experiences are included at the end of each chapter. The book comprehensively discusses fractal engineering in printed antennas for miniaturization and enhancement of performance factors. It further covers the modeling of electrically small antennas, circuit modeling, modeling of factual-based Ultra-Wide Band antennas, and modeling of reconfigurable micro-electromechanical system-based patch antennas. The book highlights performance metrics of multiple-input-multiple-output antennas. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in fields including electrical engineering, electronics, communications engineering, and computer engineering.

This book will give insight into emerging semiconductor devices from their applications in electronic circuits, which are the backbone of electronic equipment. It provides desired exposure to the ever-growing field of low-power electronic devices and their applications in nanoscale devices, memory design, and biosensing applications. Tunneling Field Effect Transistors: Design, Modeling, and Applications bring researchers and engineers from various disciplines of the VLSI domain together to tackle the emerging challenges in the field of nanoelectronics and applications of advanced low-power devices. The book begins by discussing the challenges of conventional CMOS technology from the perspective of low-power applications. The book also reviews the basic science and developments of subthreshold swing technology and recent advancements in the field. The authors discuss the impact of semiconductor materials and architecture designs on TFET devices and the performance and usage of FET devices in various domains like nanoelectronics, Memory Devices, and biosensing applications. The authors also cover a variety of FET devices, such as MOSFETs and TFETs, with various structures based on the tunneling transport phenomenon. The contents of the book have been designed and arranged in such a way that Electrical Engineering students, researchers in the field of nanodevices and device-circuit codesign, as well as industry professionals working in the domain of semiconductor devices, will find the material useful and easy to follow.

AI Metaheuristics for Information Security in Digital Media examines the latest developments in AI-based metaheuristics algorithms with applications in information security for digital media. It highlights the importance of several security parameters, their analysis, and validations for different practical applications. Drawing on multidisciplinary research including computer vision, machine learning, artificial intelligence, modified/newly developed metaheuristics algorithms, it will enhance information security for society. It includes state-of-the-art research with illustrations and exercises throughout.

Cities have always played a prominent role in the prosperity of civilization. Indeed, every great civilization we can think of is associated with the prominence of one or more thriving cities. And so understanding cities -- their inhabitants, their institutions, their infrastructure -- what they are and how they work independently and together -- is of fundamental importance to our collective growth as a human civilization. Furthermore, the 21st century "smart" city, as a result global climate change and large-scale urbanization, will emerge as a societal grand challenge. This book focuses on the role of interdependent infrastructure systems in such smart cities especially as it relates to timely and poignant questions about resilience and sustainability. In particular, the goal of this book is to present, in one volume, a consistent Hetero-Functional Graph Theoretic (HFGT) treatment of interdependent smart city infrastructures as an overarching application domain of engineering systems. This work may be contrasted to the growing literature on multi-layer networks, which despite significant theoretical advances in recent years, has modeling limitations that prevent their real-world application to interdependent smart city infrastructures of arbitrary topology. In contrast, this book demonstrates that HFGT can be applied extensibly to an arbitrary number of arbitrarily connected topologies of interdependent smart city infrastructures. It also integrates, for the first time, all six matrices of HFGT in a single system adjacency matrix. The book makes every effort to be accessible to a broad audience of infrastructure system practitioners and researchers (e.g. electric power system planners, transportation engineers, and hydrologists, etc.). Consequently, the book has extensively visualized the graph theoretic concepts for greater intuition and clarity. Nevertheless, the book does require a common methodological base of its readers and directs itself to the Model-Based Systems Engineering (MBSE) community and the Network Science Community (NSC). To the MBSE community, we hope that HFGT will be accepted as a quantification of many of the structural concepts found in model-based systems engineering languages like SysML. To the NSC, we hope to present a new view as how to construct graphs with fundamentally different meaning and insight. Finally, it is our hope that HFGT serves to overcome many of the theoretical and modeling limitations that have hindered our ability to systematically understand the structure and function of smart cities.

Computer and communication networks are among society's most important infrastructures. The internet, in particular, is a giant global network of networks with central control or administration. It is a paradigm of a complex system, where complexity may arise from different sources: topological structure, network evolution, connection and node diversity, and /or dynamical evolution. This is the first book entirely devoted to the new and emerging field of nonlinear dynamics of TCP/IP networks. It addresses both scientists and engineers working in the general field of communication networks.

Application as well as detection of different chemicals plays an important role in the progress of modern science and technology. The beauty of various characteristics of materials and the inherent logic behind their working mechanisms can be wisely utilized for sensing different chemicals. The mechanisms as well as performances of different materials viz. carbon nanotube, graphene, metal oxides, biomaterials, luminescent metal-organic frameworks, hydrogels, textiles, quantum dots, ligands, crown ethers etc. for identification of different chemicals has been discussed here. This book would be a valuable reference to select suitable materials for possible use in chemical sensors.

The book augurs to be a mix of theoretical and practical perceptions of the related concepts pertaining to image processing. The primary objectives orient to offer an overview to the elementary concepts and practices appropriate to DIP as well as to provide theoretical exposition. It starts with an expanded coverage of the fundamentals to provide a more comprehensive and cohesive coverage of the topics including but not limited to: Applications and tools for image processing, fundamentals with several implementation examples Concepts of image formation, OpenCV installation with step-by-step screen shots Concepts behind intensity, brightness and contrast, color models Ways by which noises are created in an image and the possible remedial measures Edge detection, Image segmentation, classification, regression, Classification algorithms Importance of frequency domain in image processing field Relevant code snippets and the MATLAB codes, several interesting set of simple programs in OpenCV and Python to aid learning and for complete understanding The video lectures for specific topics through YouTube by the authors enable easy inference for the readers to apply the learnt theory into practice. The addition of contents at the end of each chapter such as quiz, review questions etc., fully prepares the readers for further study. Graduate Students, Post Graduate students, Researchers, and anyone in general interested in Image Processing, Computer Vision, Machine Learning domains etc. can find this book an excellent starting point for information and as an able ally.