Renewable Energy Integration in Utility Grids reviews current challenges and technologically driven solutions to mitigate the significant issues associated with increasing renewable resource penetration in utility grid networks. It provides a detailed framework to address mostly all the significant issues of high renewable energy integration into the utility grid networks using intelligent techniques and advanced power electronics technology. Chapters address current advances in the grid integration of wind technology, solar PV systems, solar thermal plants, reactive power management, grid stability, variability, power quality, power system protection, generation side flexibility, demand-side flexibility, smart monitoring and communication, and regulatory frameworks.

Cyber security is a key focus in the modern world as more private information is stored and saved online. In order to ensure vital information is protected from various cyber threats, it is essential to develop a thorough understanding of technologies that can address cyber security challenges. Artificial intelligence has been recognized as an important technology that can be employed successfully in the cyber security sector. Due to this, further study on the potential uses of artificial intelligence is required. The Handbook of Research on Cyber Security Intelligence and Analytics discusses critical artificial intelligence technologies that are utilized in cyber security and considers various cyber security issues and their optimal solutions supported by artificial intelligence. Covering a range of topics such as malware, smart grid, data breachers, and machine learning, this major reference work is ideal for security analysts, cyber security specialists, data analysts, security professionals, computer scientists, government officials, researchers, scholars, academicians, practitioners, instructors, and students.

In recent years, substantial efforts are being made in the development of reliability theory including fuzzy reliability theories and their applications to various real-life problems. Fuzzy set theory is widely used in decision making and multi criteria such as management and engineering, as well as other important domains in order to evaluate the uncertainty of real-life systems. Fuzzy reliability has proven to have effective tools and techniques based on real set theory for proposed models within various engineering fields, and current research focuses on these applications. Advancements in Fuzzy Reliability Theory introduces the concept of reliability fuzzy set theory including various methods, techniques, and algorithms. The chapters present the latest findings and research in fuzzy reliability theory applications in engineering areas. While examining the implementation of fuzzy reliability theory among various industries such as mining, construction, automobile, engineering, and more, this book is ideal for engineers, practitioners, researchers, academicians, and students interested in fuzzy reliability theory applications in engineering areas.

This book addresses time-bound geotectonic evolution of the various geological terrains of the Indian continent, on the basis of integrated geophysical studies, like seismic, seismological, gravity, magnetic, magnetotelluric and heat flow, carried out over the past five decades. Further, it discusses elastic and petrophysical properties of the Earth's crust relevant to geological investigations. The book also shares latest findings on the geodynamic development of the Indian shield and nearby continental margins, including Arabian Sea.

Technology has vastly advanced over the years and created new developments and uses across various industries. By applying these new approaches in the business world, process management and organization can be significantly improved. Maximizing Business Performance and Efficiency through Intelligent Systems is an essential reference publication for the latest research on methods to use artificial intelligence in organizational settings. Featuring coverage on a broad range of topics such as information retrieval, fuzzy systems, and neural networks, this book is ideally designed for students, professionals, and researchers seeking research on emerging advances in business technology applications.

Systems and Signal Processing of Capnography as a Diagnostic Tool for Asthma Assessment provides a comprehensive overview of groundbreaking tools and techniques for the diagnosis and monitoring of asthma. Sections cover an introduction to the human respiratory system and the pathophysiology of asthma before analyzing current assessment concepts, tools and techniques. The book describes spirometry and the peak flow meter as existing tools in assessing asthma along with their limitations. In addition, a detailed description of capnography as a new approach is included with various studies conducted on its analysis. Academicians and researchers in biomedical engineering, particularly in the course of biomedical signal processing and biomedical instrumentation will find the book useful.

Active Electrical Distribution Network: Issues, Solution Techniques and Applications is a comprehensive reference that addresses the issues and opportunities across one of the most overlooked sectors of the electrical industry, electrical distribution. The book begins with an introduction to electrical distribution networks, and then explores both present and future developments in the areas of smart grids, electric vehicles, micro grids, demand side response and active distribution networks. The ongoing transition of energy systems is also covered, providing recommendations for a higher penetration of renewable energy, utilization of new equipment and new network configurations, as well as development of new design and operation methods, and applications of new incentives and business models. The book closes with a section on optimizing operational issues, featuring guidance on optimal expansion planning of distribution systems in smart grids and optimization of photovoltaic (PV) systems. Active Electrical Distribution Network is an ideal reference for all those interested in the modeling, analysis, control, operation and planning techniques that are key to addressing the knowledge and information needs of the engineering and research audience.

Abiotic Stresses in Wheat: Unfolding the Challenges presents the current challenges, possibilities, and advancements in research-based management strategies for the adaptation of wheat crops under abiotic-stressed growth conditions. This book comprehensively discusses different abiotic stress conditions in wheat, and also covers current trends in their mitigation using advanced tools to develop resilience in wheat crops. Chapters provide insight into the genetic, biochemical, physiological, molecular, and transgenic advances and emerging frontiers for mitigating the effects of wheat abiotic stresses. This text is the first resource to include all abiotic stresses in one volume, providing important translational insights and efficient comparison.

This book addresses a wide range of aspects of the study of language in a variety of domains such as cognition, change, acquisition, structure, philosophy, politics, and education. It offers a renewed discussion on normative understanding of these concepts and opens up avenues for a fresh look at these concepts. Each contribution in this book captures a wide range of perspectives and underlines the vigorous role of language, which happens to be central to the arguments contained therein. The uniqueness of this book lies in the fact that it presents simplified perspective on various complex aspects of language. It addresses a wide range of audiences, who do not necessarily need to have a technical background in linguistics. It focuses on complex relations between language and cognition, politics, education to name a few with reference to cognition, change, and acquisition. This book is for researchers with an interest in the field of language studies, applied linguistics, and socio-linguistics.

The text presents concepts of explainable artificial intelligence (XAI) in solving real world biomedical and healthcare problems. It will serve as an ideal reference text for graduate students and academic researchers in diverse fields of engineering including electrical, electronics and communication, computer, and biomedical. Present explainable artificial intelligence (XAI) based machine analytics and deep learning in medical science. Discusses explainable artificial intelligence (XA)I with the Internet of Medical Things (IoMT) for healthcare applications. Covers algorithms, tools, and frameworks for explainable artificial intelligence on medical data. Explores the concepts of natural language processing and explainable artificial intelligence (XAI) on medical data processing. Discusses machine learning and deep learning scalability models in healthcare systems. This text focusses on data driven analysis and processing of advanced methods and techniques with the help of explainable artificial intelligence (XAI) algorithms. It covers machine learning, Internet of Things (IoT), and deep learning algorithms based on XAI techniques for medical data analysis and processing. The text will present different dimensions of XAI based computational intelligence applications. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and biomedical engineering.

The text discusses the latest data-driven, physics-based, and hybrid approaches employed in each stage of industrial prognostics and reliability estimation. It will be a useful text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering, electrical engineering, and computer science. The book Discusses basic as well as advance research in the field of prognostics. Explores integration of data collection, fault detection, degradation modeling and reliability prediction in one volume. Covers prognostics and health management (PHM) of engineering systems. Discusses latest approaches in the field of prognostics based on machine learning. The text deals with tools and techniques used to predict/ extrapolate/ forecast the process behavior, based on current health state assessment and future operating conditions with the help of Machine learning. It will serve as a useful reference text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering, manufacturing science, electrical engineering, and computer science.

This book presents the latest developments and advances in solar desalination technology, including the concept, design, testing, modeling, economics and innovation. The chapters in this volume are contributed by leading international researchers and are based on original research material. The contents of this volume will be of interest to researchers, professionals, and policymakers alike.

· Includes topics associated with the nutritional composition and antinutritional properties · Addresses the effects of different processing technologies on flour yield and end-products · Reviews the effects of storage on nutritional, baking and rheological quality, organoleptic quality etc.

This book comprises select proceedings of the International Conference on Production and Industrial Engineering (CPIE) 2018. The book focuses on the latest developments in the domain of operations management and systems engineering, and presents analytical models, case studies, and simulation approaches relevant to a wide variety of systems engineering problems. Topics such as decision sciences, human factors and ergonomics, transport and supply chain management, manufacturing design, operations research, waste management, modeling and simulation, reliability and maintenance, and sustainability in operations and manufacturing are discussed in this book. The contents of this book will be useful to academics, researchers and practitioners working in the field of systems engineering and operations management.

Energy demand will increase by 70% by the year of 2030, and with the continual day-by-day depletion of traditional energy sources, there is a vast need to continue the development of dependable renewable energy sources that are locally available and that enhance energy generation efficiency. This important resource, Deregulated Electricity Market: A Smart Grid Perspective, presents the topical issues of the deregulated electricity market, focusing on the integration of renewable sources with engineering approaches. The volume identifies and explores the deregulated electricity market s and looks at different renewable generation techniques and their operation and control issues. It considers the various power quality issues with renewable energy generation interfaced with smart grids and their solution techniques. It also addresses the various integration challenges of the energy storage systems and energy management of electric vehicles in the smart grid environment. Topics include methods for frequency, angle, and voltage monitoring in smart grids; load frequency and voltage control pricing; grid integration of wind energy generation systems; tracking and management techniques; performance analysis; and more. This volume is an important resource for scientists, researchers, students, and academicians across the globe concerned with adopting and implementing novel research on smart power grids and renewable energy systems.

Emerging Paradigms in Urban Mobility: Planning, Finance and Implementation explains the types of new urban mobility planning paradigms that are emerging throughout the world, along with their potential to transform the transportation landscape. As half of the world's 7 billion people now live in cities, thus causing severe road congestion, increased air pollution, energy insecurity and sustainability problems in cities and the planet itself, this book presents new paradigms that are emerging to address these problems, along with other topics of note, including economic efficiency, health, the well-being of cities and their residents, urban mobility transformations, and the role of social media. In addition, the book looks at Integrated Corridor Management and how it improves the people-moving performance of multi-modal transport systems in high demand urban corridors and how countries balance the mobility benefits of motorcycles with the environmental and safety threats they pose.

This book discusses the research progress on pathology, entomology, nematology, and resource management of wheat and barley crops. The volume summarizes the research progress and discusses the future perspectives based on current understanding of the existing issues and advancing cutting-edge technologies in the field. The book aims to help in deciding future research and development agenda by devising better strategies and techniques to cultivate these crops under clean and sustainable environment. Through this book an international group of leading wheat and barley researchers unveil the emerging concepts and issues related to biotic stresses and resource management and offers latest glimpses of technological needs and resource optimization in wheat and barley production system. Also, key topics such as frontier mechanization technologies, improved precision farming techniques, pluralistic extension and policy interventions for enhancing the resource efficiency and livelihood security of the farmers are explored here. This book is of interest to teachers, researchers, molecular breeders, cereal biochemists and biotechnologists, policymakers and professionals working in the area of wheat and barley research, food and cereal industry. Also, the book serves as an additional reading material for undergraduate and graduate students of agriculture and food sciences. National and international agricultural scientists, policy makers will also find this book to be a useful read. Volume 1 of New Horizons in Wheat and Barley Research covers global trends, breeding and quality enhancement.

The book discusses major technical advances and research findings in the field of machine intelligence in medical image analysis. It examines the latest technologies and that have been implemented in clinical practice, such as computational intelligence in computer-aided diagnosis, biological image analysis, and computer-aided surgery and therapy. This book provides insights into the basic science involved in processing, analysing, and utilising all aspects of advanced computational intelligence in medical decision-making based on medical imaging.

This book looks at industry change patterns and innovations (such as artificial intelligence, machine learning, big data analysis, and blockchain support and efficiency technology) that are speeding up industrial transformation, industrial infrastructure, biodiversity, and productivity. This book focuses on real-world industrial applications and case studies to provide for a wider knowledge of intelligent manufacturing. It also offers insights into manufacturing, logistics, and supply chain, where systems have undergone an industrial transformation. It discusses current research of machine learning along with blockchain techniques that can fill the gap between research and industrial exposure. It goes on to cover the effects that the Fourth Industrial Revolution has on industrial infrastructures and looks at the current industry change patterns and innovations that are accelerating industrial transformation activities. Researchers, scholars, and students from different countries will appreciate this book for its real-world applications and knowledge acquisition. This book targets manufacturers, industry owners, product developers, scientists, logistics, and supply chain engineers. Focuses on real-world industrial applications and case studies to provide for a wider knowledge of intelligent manufacturing Offers insights into manufacturing, logistics, and supply chain where systems have undergone an industrial transformation Discusses current research of machine learning along with blockchain techniques that can fill the gap between research and industrial exposure Covers the effects that the 4th Industrial Revolution has on industrial infrastructures Looks at industry change patterns and innovations that are speeding up industrial transformation activities Om Prakash Jena is currently working as an associate professor in the Department of Computer Science, Ravenshaw University, Cuttack, Odisha, India. Sabyasachi Pramanik is an assistant professor in the Department of Computer Science and Engineering, Haldia Institute of Technology, India. Ahmed A. Elngar is an associate professor in the Faculty of Computers & Artificial Intelligence, Beni-Suef University, Egypt. He is also an associate professor in the College of Computer Information Technology, chair of the Scientific Innovation Research Group (SIRG), and director of the Technological and Informatics Studies Center (TISC), American University in the Emirates, United Arab Emirates.

Covers the fundamentals of Machine Learning and Deep Learning in the context of healthcare applications Discusses various data collection approaches from various sources and how to use them in Machine Learning/Deep Learning models Integrates several aspects of AI-based Computational Intelligence like Machine Learning and Deep Learning from diversified perspectives which describe recent research trends and advanced topics in the field Explores the current and future impacts of pandemics and risk mitigation in healthcare with advanced analytics Emphazises feature selection as an important step in any accurate model simulation, ML/DL methods are used to help train the system and extract the positive solution implicitly

Honey is a supersaturated solution of sugar made by bees. Honeybees collect a liquid secretion from flowers, called nectar, and take this back to their hives. It is an appreciated natural gift to humanity derived entirely from honeybees. Honey is the by-product of nectar collected by bees from the flowers, with some digestive enzymes produced by the honeybees themselves. Honey: A Miraculous Product of Nature summarizes the current status of honey, it's uses and related aspects. This illustrated volume describes use of honey in traditional medicines, i.e. Ayurveda, Siddha, and Unani by acting as a preservative and nourishing agent. Also, other properties like digestibility, palatability, deliciousness, refreshing, thirst quencher, stomachic, anti-obtrusive, expectorant, anti-oxidative, anti-tussive and blood purifier are explained in beautiful manner. The role of honey in improving eyesight, strengthens gums and teeth and it's use in jaundice, spleen enlargement, sore throat, chest diseases, sexual debility, renal and cystic calculi, intestinal worms, heart diseases and leprosy is very well described. The compiled knowledge from range of bee scientists, Honey: A Miraculous Product of Nature aims to provide broad knowledge on honey to the researchers, apiculturists and students to continue their work on honey and honeybees.

Solar energy has found its widespread use in direct conversion into electricity either by photovoltaic conversion or through thermal energy, reduction in post-harvest losses, and crop drying. Solar Drying Systems analyzes the fundamentals, principles and applications, heat transfer, elements of drying and solar dryer designs, and related modeling and analysis aspects of solar energy. Discusses both technical and policy-related issues Explores up-to-date status reviews of different solar drying systems Reviews the highlights of present and future solar drying options Includes many figures, solved examples, and tables with problems/exercises at the end of each chapter This book is aimed at senior undergraduate and graduate students in energy engineering.

It is becoming increasingly important to design and develop adaptive, robust, scalable, reliable, security and privacy mechanisms for IoT applications and for Industry 4.0 related concerns. This book serves as a useful guide for researchers and industry professionals and will help beginners to learn the basics to the more advanced topics. Along with exploring security and privacy issues through the IoT ecosystem and examining its implications to the real-world, this book addresses cryptographic tools and techniques and presents the basic and high-level concepts that can serve as guidance for those in the industry as well as help beginners get a handle on both the basic and advanced aspects of security related issues. The book goes on to cover major challenges, issues, and advances in IoT and discusses data processing as well as applications for solutions, and assists in developing self-adaptive cyberphysical security systems that will help with issues brought about by new technologies within IoT and Industry 4.0. This edited book discusses the evolution of IoT and Industry 4.0 and brings security and privacy related technological tools and techniques onto a single platform so that researchers, industry professionals, graduate, postgraduate students, and academicians can easily understand the security, privacy, challenges and opportunity concepts and make then ready to use for applications in IoT and Industry 4.0.

The book features the scientific work on materials science presented at the International Conference on Energy, Materials and Information Technology, 2017 at Amity University Jharkhand, India. It highlights all aspects of materials, from synthesis to innovative applications, and from physical characterizations to cost-effectiveness. It also covers essential and state-of-the-art research work on various engineering materials with important physical characteristics. This multidisciplinary book is aimed at scientists, academics, research scholars and students from all areas who are interested in understanding the current research in the field of materials science.