Introduces the recent applications of new computational intelligent technologies focusing on medical diagnosis issues Reviews multidisciplinary research in healthcare like data mining, medical imaging, pattern recognition and so forth Explores intelligent systems and application of learning in healthcare challenges along with the representation and reasoning of clinical uncertainty Addresses the problems resulting from automated data collection in modern hospitals with possible solutions to support medical decision-making system Discusses current and emerging intelligent system with respect to evolutionary computation and its applications in medical domain

In modern conditions of the development of intelligent systems to solve the problems of smart cities, more and more attention is paid to the construction of distributed intelligent systems, which, based on a network of sensors and specialized calculators, help residents and visitors of the city in real time to solve a whole range of complex problems that arise in an urban environment. In a smart city, much attention is paid to the processing of biometric information that comes from biometric sensors distributed throughout the city. Such biometric systems are multimodal and allow you to control the general condition of a person, and also help a person to move around the city and predict events within the city. This book describes methods for processing biometric information in a smart city environment. The theoretical foundations of building a biometric multisensor network, which allows you to create a unified urban biometric community, are considered. The theoretical foundations of the parallel shift technology and the Radon transformation on cellular automata with a hexagonal covering are presented. On the basis of these technologies, methods of biometric identification by gait parameters and the geometric shape of the auricle are described, which are effectively used in a smart city. A method for tracking dynamic changes in the state of a smart city in real time is considered. Models of behavior of colonies of living organisms, their formation, movement and interaction are described on the basis of the technology of cellular automata with active cells. Models of behavior of active cells in meeting with unwanted cells and models of combining and destruction of active cell colonies are also described. This book is intended for undergraduate, graduate students and specialists working and conducting research in the field of biometric information processing, as well as in the development and construction of distributed intelligent systems.

Handbook of Green Engineering Technologies for Sustainable Smart Cities focuses on the complete exploration and presentation of green smart city applications, techniques, and architectural frameworks. It provides detailed coverage of urban sustainability spanning across various engineering disciplines. The book discusses and explores green engineering technologies for smart cities and covers various engineering disciplines and environmental science. It emphasizes techniques, application frameworks, tools, and case studies. All chapters play a part in the evolution of sustainable green smart cities and present how to solve environmental issues by applying modern industrial IoT solutions. This book will benefit researchers, smart city practitioners, academicians, university students, and policy makers.

This comprehensive reference text discusses the fundamental concepts of artificial intelligence and its applications in a single volume. Artificial Intelligence: Fundamentals and Applications presents a detailed discussion of basic aspects and ethics in the field of artificial intelligence and its applications in areas, including electronic devices and systems, consumer electronics, automobile engineering, manufacturing, robotics and automation, agriculture, banking, and predictive analysis. Aimed at senior undergraduate and graduate students in the field of electrical engineering, electronics engineering, manufacturing engineering, pharmacy, and healthcare, this text: Discusses advances in artificial intelligence and its applications. Presents the predictive analysis and data analysis using artificial intelligence. Covers the algorithms and pseudo-codes for different domains. Discusses the latest development of artificial intelligence in the field of practical speech recognition, machine translation, autonomous vehicles, and household robotics. Covers the applications of artificial intelligence in fields, including pharmacy and healthcare, electronic devices and systems, manufacturing, consumer electronics, and robotics.

AI for Digital Warfare explores how the weaponising of artificial intelligence can and will change how warfare is being conducted, and what impact it will have on the corporate world. With artificial intelligence tools becoming increasingly advanced, and in many cases more humanlike, their potential in psychological warfare is being recognised, which means digital warfare can move beyond just shutting down IT systems into more all-encompassing hybrid war strategies.

Safety or protective grounding is of vital importance for the protection of individuals from electric shock and structures and industrial concerns from potentially damaging lightning and electrostatic discharges. To many electrical engineers the notion of grounding is nebulous and safety grounding is quite often confused with neutral grounding of the power supply. The main objective of this book is to give the reader a better understanding of safety grounding, why it is needed, where it is needed, and what are the requirements which must be met in order to have an effective grounding system. The text as a whole serves to provide the reader with the necessary background for a better appreciation of the various National and International Standards concerned with safety grounding. This book gives the reader a good understanding of the fundamentals of safety grounding. It is a practical guide that provides a comprehensive coverage of all types of grounding requirements and is intended for students and practicing electrical engineers alike. Summarizes the physiological effects of current on the human body and the effect of current duration Gives the various methods of measuring soil resistivity and measuring the resistance to ground of an electrode or grounding system Reviews different types of ground electrodes and the effect of their geometry and numbers on the resistance to ground Presents the components of a ground system, methods of improving soil resistivity, the types of welds and joints, the criteria for determining conductor cross-sections, galvanic corrosion, and a survey of the different grounding practices used at substations and the different types of grounding systems used for the protection of consumers Deals with electrostatic and lightning hazards that can cause serious damage and the measures used to protect against such damage Throughout the text frequent reference is made to various National and International Standards and their requirements as compliance with these standards is highly advised Asser A. Zaky, Ph.D., FIET, F.Inst.P., FIEEE, is Emeritus Professor of Electrical Engineering at University of Alexandria, Egypt.

The texts presented in Proportion Harmonies and Identities (PHI) Tradition and Innovation were compiled with the intent to establish a multidisciplinary platform for the presentation, interaction, and dissemination of researches. They also aim to foster the awareness and discussion on the topic of Tradition and Innovation, focusing on different visions relevant to Architecture, Arts and Humanities, Design and Social Sciences, and its importance and benefits for the sense of identity, both individual and communal. The idea of Tradition and Innovation has been a significant motor for development since the Western Early Modern Age. Its theoretical and practical foundations have become the working tools of scientists, philosophers, and artists, who seek strategies and policies to accelerate the development process in different contexts.

This book is a detailed reference on biomedical applications using Deep Learning. Because Deep Learning is an important actor shaping the future of Artificial Intelligence, its specific and innovative solutions for both medical and biomedical are very critical. This book provides a recent view of research works on essential, and advanced topics. The book offers detailed information on the application of Deep Learning for solving biomedical problems. It focuses on different types of data (i.e. raw data, signal-time series, medical images) to enable readers to understand the effectiveness and the potential. It includes topics such as disease diagnosis, image processing perspectives, and even genomics. It takes the reader through different sides of Deep Learning oriented solutions. The specific and innovative solutions covered in this book for both medical and biomedical applications are critical to scientists, researchers, practitioners, professionals, and educations who are working in the context of the topics.

Machine learning approaches has the capability to learn and adapt to the constantly evolving demands of large Internet-of-energy (IoE) network. The focus of this book is on using the machine learning approaches to present various solutions for IoE network in smart cities to solve various research gaps such as demand response management, resource management and effective utilization of the underlying ICT network. It provides in-depth knowledge to build the technical understanding for the reader to pursue various research problems in this field. Moreover, the example problems in smart cities and their solutions using machine learning are provided as relatable to the real-life scenarios. Aimed at Graduate Students, Researchers in Computer Science, Electrical Engineering, Telecommunication Engineering, Internet of Things, Machine Learning, Green computing, Smart Grid, this book: Covers all aspects of Internet of Energy (IoE) and smart cities including research problems and solutions. Points to the solutions provided by machine learning to optimize the grids within a smart city set-up. Discusses relevant IoE design principles and architecture. Helps to automate various services in smart cities for energy management. Includes case studies to show the effectiveness of the discussed schemes.

Once the world's most technologically advanced civilisation, China is poised to yet again take this mantle, having made incredible technological strides over recent decades; but what does this in fact mean? What will this mean for Chinese society, and what ramifications might it have for the future? This book offers an account of social change under the growing influence of communications technology in media-saturated urban China. The challenges presented by the rise of technology and its pervasive nature in the mediation of all facets of everyday life pose questions not just for Chinese society but for all contemporary media societies. Drawing on theories from the philosophy of technology and conceptual tools from political anthropology, this title moves beyond debates surrounding mediative technology as a liberating or malevolent force. China at a Threshold addresses academic concerns surrounding communications technology and state control, looking for an interpretative approach to understand the role media might play in social change so that we might ascertain its impact on social relations. Urging a reconsideration in our understanding of technology as neither liberative nor oppressive, the author advances a proposal that brings social forces into play in their own right. Taking inspiration from thinkers in philosophy and anthropology, this title investigates storytelling and liminal characters as real agents in social change so that we might identify alternative forces for change not reducible to technological impact or human proclivity.

The book aims to enable the reader to master the engineering of communication protocols, which are amply present nowadays in mobile phones, tablets, laptops, smart appliances, and service providers' datacenters and clouds. Readers will acquire the theoretical knowledge and practical skills to successfully design, implement, test, and verify their solutions. The key benefits of the new edition align with the latest standard for conformance testing, TTCN-3, along with updated chapters. It explains process algebra CSP and how to model, simulate, and automatically verify CSP models in PAT.

Design of analog multipliers discusses what an analog multiplier and its related types is, how different types of analog multipliers are implemented with analog two to one multiplexers and op-amps, and how the types of analog multipliers are implemented with transistors and op-amps. Describing forty-eight analog multiplier circuits, book explains six building blocks as integrator, comparator, switch, low pass filter, peak detector and sample & hold circuit. All analog multiplier circuits presented in this book use a maximum of four operational amplifiers which will enable the readers to simulate the multipliers with minimum number of components and use for their application at low cost.

In this book, the author outlines a Robust Web Parking, Truck and Transportation Portal (RWPTTP) for integrating parking and transportation services - a revolutionary approach in contrast to incremental change for managing traffic congestion. Autonomous vehicle technology, artificial intelligence, internet of things (IOT), and other interconnected hardware and software tools will assist autonomous parking and transportation services and provide next-century infrastructure for consolidated transportation customer services. The book highlights currently available autonomous parking and transportation technologies, and the development of an integrated and intelligent transportation service/system (IITS) platform, with specific use of technologies to reconfigure the transportation industry. The author also suggests many regulatory and policy changes to simplify data collection, traffic operation, introduction of a duplicate transportation system using light rail (LRs) and high speed rail (SPRs), and redistribution of parking spaces along such routes, using renewable energy.

This book focuses primarily on both technical and business aspects needed to select, design, develop and deploy control application (or product) successfully for multiple components in building systems. Designing and deploying a control application require multiple steps such as sensing, system dynamics modelling, algorithms, and testing. This may involve choosing an appropriate methodology and technique at multiple stages during the development process. Understanding the pros and cons of such techniques, most importantly being aware of practically possible approaches in the entire ecosystem, is critical in choosing the best framework and system application for different parts of building systems. Providing a wide overview of the state-of art in controls and building systems, providing guidance on developing an end-to-end system in relation to business fundamentals (distribution channels, stakeholders, marketing, supply-chain and financial management), the book is ideal for fourth-year control/mechanical/electrical engineering undergraduates, graduate students, and practitioners including business leaders concerned with smart building technology.

New prospects for biomedical and healthcare engineering are being created by the rapid development of Robotic and Artificial Intelligence techniques. Innovative technologies such as Artificial Intelligence, Deep Learning, Robotics, and IoT are currently under huge influence in today's modern world. For instance, a micro-nano robot allows us to study the fundamental problems at a cellular scale owing to its precise positioning and manipulation ability; the medical robot paves a new way for the low-invasive and high-efficient clinical operation, and rehabilitation robotics is able to improve the rehabilitative efficacy of patients. This book aims at exhibiting the latest research achievements, findings, and ideas in the field of robotics in biomedical and healthcare engineering, primarily focusing on the walking assistive robot, telerobotic surgery, upper/lower limb rehabilitation, and radiosurgery. As a result, a wide range of robots are being developed to serve a variety of roles within the medical environment. Robots specializing in human treatment include surgical robots and rehabilitation robots. The field of assistive and therapeutic robotic devices is also expanding rapidly. These include robots that help patients rehabilitate from severe conditions like strokes, empathic robots that assist in the care of older or physically/mentally challenged individuals, and industrial robots that take on a variety of routine tasks, such as sterilizing rooms and delivering medical supplies and equipment, including medications. The objectives of the book are in terms of advancing the state-of-the-art of robotic techniques and addressing the challenging problems in biomedical and healthcare engineering. This book Lays a good foundation for the core concepts and principles of robotics in biomedical and healthcare engineering, walking the reader through the fundamental ideas with expert ease. Progresses on the topics in a step-by-step manner and reinforces theory with a full-fledged pedagogy designed to enhance students' understanding and offer them a practical insight into the applications of it. Features chapters that introduce and cover novel ideas in healthcare engineering like Applications of Robots in Surgery, Microrobots and Nanorobots in Healthcare Practices, Intelligent Walker for Posture Monitoring, AI-Powered Robots in Biomedical and Hybrid Intelligent Systems for Medical Diagnosis, and so on. Deepak Gupta is an Assistant Professor at the Maharaja Agrasen Institute of Technology, GGSIPU, Delhi, India. Moolchand Sharma is an Assistant Professor at the Maharaja Agrasen Institute of Technology, GGSIPU, Delhi, India. Vikas Chaudhary is a Professor at the JIMS Engineering Management Technical Campus, GGSIPU, Greater Noida, India. Ashish Khanna currently works at the Maharaja Agrasen Institute of Technology, GGSIPU, Delhi, India.

With the rapid growth of wireless communications, this book meets the strong demand for information and new research in the area of antenna, signal processing, and microelectronics engineering. Providing an interdisciplinary platform, it brings together leading academicians, scientists, and researchers to share information on innovations, trends, and advances as well as the challenges encountered in this field. The chapters address the functional framework in the area of antenna, signal processing, and microelectronics engineering and explore the concepts from the basic to advanced level. Key features: * Addresses the functional framework in the area of antenna, signal processing, and microelectronics engineering * Covers the major challenges, issues, and advances in antennas, signal processing, and microelectronics engineering * Explores optimization techniques for smart antenna and microelectronics for different applications * Explores different materials and design techniques in the area of antennas and microelectronics

This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine. It will combine the design and problem-solving skills of engineering with health sciences, in order to advance healthcare treatment. The book will include areas such as diagnosis, monitoring, and therapy. The book will provide real-world case studies, gives a detailed exploration of applications in healthcare systems, offers multiple perspectives on a variety of disciplines, while also letting the reader know how to avoid some of the consequences of old methods with data sharing. The book can be used as a reference for practitioners, researchers and for students at basic and intermediary levels in Computer Science, Electronics and Communications.

This volume explores the diverse applications of advanced tools and technologies of the emerging field of big data and their evidential value in business. It examines the role of analytics tools and methods of using big data in strengthening businesses to meet today's information challenges and shows how businesses can adapt big data for effective businesses practices. This volume shows how big data and the use of data analytics is being effectively adopted more frequently, especially in companies that are looking for new methods to develop smarter capabilities and tackle challenges in dynamic processes. Many illustrative case studies are presented that highlight how companies in every sector are now focusing on harnessing data to create a new way of doing business.

The purpose of this edited book is to provide the relevant technologies and case studies in a concise format that will simplify and streamline the processing of blockchain. The goal is for the contents of this book to change the way business transformations are conducting in economic and social systems. The book examines blockchain technology, the transaction attributes, and its footprint in various fields. It offers fundamentals and terminologies used in blockchain, architecture, and various consensus mechanisms that can be deployed in areas such as healthcare, smart cities, and supply chain management. The book provides a widespread knowledge into the deployment of security countermeasures that can be implemented for a blockchain network and enables the reader to consider the management of business processes and the implementation process in detail. The book highlights the challenges and provides various e-business case studies of security countermeasures. The book serves researchers and businesses by providing a thorough understanding of the transformation process using blockchain technology.

This reference text discusses principles, design, and applications of various types of multiplier-cum-divider circuits (MCDs), and covers applications of operational amplifiers to perform as MCDs circuits The text covers principles of multiplying circuits, dividing circuits, square rooting, and vector magnitude circuits in detail. It discusses how multiplier-cum-divider circuits are developed with saw tooth and triangular waves. It covers important topics including non-linear op-amp circuits, triangular wave referenced multiplier-cum-divider with multiplexes, saw tooth wave referenced MCD with analog switches, peak responding MCD with analog switches and triangular wave referenced MCD with analog switches. The text will be useful for senior undergraduate, graduate students, and professionals in the fields of electrical engineering, and electronics and communication engineering.

Stealth technology is a crucial pre-requisite in the combat zone, where swiftness, surprise and initiative are the decisive elements for survivability. The supreme goal here is to reduce the visibility of military vehicles by shaping, application of radar absorbing materials, passive cancellation, active cancellation etc. With respect to multilayered radar absorbing structures (RAS), this book presents an efficient algorithm based on particle swarm optimization (PSO), for the material selection as well as optimization of thickness of multilayered RAS models considering both normal as well as oblique incidence cases. It includes a thorough overview of the theoretical background required for the analysis of multilayered RAS as well as the step-by-step procedure for the implementation of PSO-based algorithm. The accuracy and computational efficiency of the indigenously developed code is also clearly established using relevant validations and case studies. FEATURES Provides step-by-step procedure for the implementation of particle swarm optimization (PSO) based algorithm in the context of multilayered radar absorbing structures (RAS) design Helps to understand the EM design, analysis and optimization of multilayered RAS Describes the theoretical background required for the analysis of multilayered RAS Illustrates in detail the theoretical formulation supported by intuitive ray diagrams and comprehensive flowcharts to implement the algorithm with ease Includes elaborate validations and case studies This book will serve as a valuable resource for students, researchers, scientists, and engineers involved in the electromagnetic design and development of multi-layered radar absorbing structures.

Accurate, fast, and reliable fault classification techniques are an important operational requirement in modern-day power transmission systems. Application of Signal Processing Tools and Neural Network in Diagnosis of Power System Faults examines power system faults and conventional techniques of fault analysis. The authors provide insight into artificial neural networks and their applications, with illustrations, for identifying power system faults. Wavelet transform and its application are discussed as well as an elaborate method of Stockwell transform. The authors also employ probabilistic neural networks (PNN) and back propagation neural networks (BPNN) to identify the different types of faults and determine their corresponding locations, respectively. Both PNN and BPNN are presented in detail, and their applications are illustrated through simple programming in MATLAB (R). Furthermore, their applications in fault diagnosis are discussed through multiple case studies. FEATURES Explores methods of fault identification through programming and simulation in MATLAB (R) Examines signal processing tools and their applications with examples Provides knowledge of artificial neural networks and their application with illustrations Uses PNN and BPNN to identify the different types of faults and obtain their corresponding locations Discusses the programming of signal processing using wavelet transform and Stockwell transform This book is designed for engineering students and for practitioners. Readers will find methods of programming and simulation of any network in MATLAB (R) as well as ways to extract features from a signal waveform by using a suitable signal processing toolbox and by application of artificial neural networks.

The book is centrally focused on human computer Interaction and how sensors within small and wide groups of Nano-robots employ Deep Learning for applications in industry. It covers a wide array of topics that are useful for researchers and students to gain knowledge about AI and sensors in nanobots. Furthermore, the book explores Deep Learning approaches to enhance the accuracy of AI systems applied in medical robotics for surgical techniques. Secondly, we plan to explore bio-nano-robotics, which is a field in nano-robotics, that deals with automatic intelligence handling, self-assembly and replication, information processing and programmability.

Photonic integrated circuit (PIC) technology holds great potential for breaking through the bottlenecks in current photonic and optoelectronic networks. Recently, a revolution has been witnessed in the field of lithium niobate (LN) photonics. Over the past decade, nanoscale LN waveguides with a propagation loss of ~0.01 dB and a radius of curvature on the level of ~100 m have been demonstrated. The revolution mainly benefits from two technological advancements, the maturity of lithium-niobate-on-insulator (LNOI) technology and the innovation of nanofabrication approaches of high-quality LNOI photonic structures. Using low-loss waveguides and high-quality-factor (high-Q) microresonators produced on the LNOI platform as building blocks, various integrated photonic devices have been demonstrated with unprecedented performances. The breakthroughs have reshaped the landscape of the LN industry. This is the first monograph on LN nanophotonics enabled by the LNOI platform. It comprehensively reviews the development of fabrication technology, investigations on nonlinear optical processes, and demonstrations of electro-optical devices, as well as applications in quantum light sources, spectroscopy, sensing, and microwave-to-optical wave conversion. The book begins with an overview of the technological evolution of PICs, justifying the motivation for developing LNOI photonics. The next four chapters focus on LNOI photonics. The book concludes with a summary of the milestone achievements discussed in these chapters and provides a future perspective of this area of research.

Written by international experts in this field, the book describes the principles of, and presents case studies for, the wide range of tomographic imaging techniques that can be used in the process industries. It includes sufficient introductory material
to this multi-disciplinary subject in order that readers from a variety of backgrounds will be able to fully understand the fundamental principles and features of the sensors and image reconstruction techniques needed for process tomography.