Real-Time Data Analytics for Large Scale Sensor Data (Enhanced Edition)

Real-Time Data Analytics for Large Scale Sensor Data (Enhanced Edition)

Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the development of software methods, techniques and tools, applications, governance and adoption strategies for the use of massive sensor data in real-time data analytics. It presents the leading-edge research in the field and identifies future challenges in this fledging research area. The book captures the essence of real-time IoT based solutions that require a multidisciplinary approach for catering to on-the-fly processing, including methods for high performance stream processing, adaptively streaming adjustment, uncertainty handling, latency handling, and more. Examines IoT applications, the design of real-time intelligent systems, and how to manage the rapid growth of the large volume of sensor data Discusses intelligent management systems for applications such as healthcare, robotics and environment modeling Provides a focused approach towards the design and implementation of real-time intelligent systems for the management of sensor data in large-scale environments

Autonomous Learning Systems

Autonomous Learning Systems

Autonomous Learning Systems is the result of over a decade of focused research and studies in this emerging area which spans a number of well-known and well-established disciplines that include machine learning, system identification, data mining, fuzzy logic, neural networks, neuro-fuzzy systems, control theory and pattern recognition. The evolution of these systems has been both industry-driven with an increasing demand from sectors such as defence and security, aerospace and advanced process industries, bio-medicine and intelligent transportation, as well as research-driven – there is a strong trend of innovation of all of the above well-established research disciplines that is linked to their on-line and real-time application; their adaptability and flexibility.Providing an introduction to the key technologies, detailed technical explanations of the methodology, and an illustration of the practical relevance of the approach with a wide range of applications, this book addresses the challenges of autonomous learning systems with a systematic approach that lays the foundations for a fast growing area of research that will underpin a range of technological applications vital to both industry and society. Key features:  Presents the subject systematically from explaining the fundamentals to illustrating the proposed approach with numerous applications. Covers a wide range of applications in fields including unmanned vehicles/robotics, oil refineries, chemical industry, evolving user behaviour and activity recognition. Reviews traditional fields including clustering, classification, control, fault detection and anomaly detection, filtering and estimation through the prism of evolving and autonomously learning mechanisms. Accompanied by a website hosting additional material, including the software toolbox and lecture notes. Autonomous Learning Systems provides a ‘one-stop shop’ on the subject for academics, students, researchers and practicing engineers. It is also a valuable reference for Government agencies and software developers.

Fundamentals and Properties of Multifunctional Nanomaterials (Enhanced Edition)

Fundamentals and Properties of Multifunctional Nanomaterials (Enhanced Edition)

Fundamentals and Properties of Multifunctional Nanomaterials outlines the properties of highly intricate nanosystems, including liquid crystalline nanomaterials, magnetic nanosystems, ferroelectrics, nanomultiferroics, plasmonic nanosystems, carbon-based nanomaterials, 1D and 2D nanomaterials, and bio-nanomaterials. This book reveals the electromagnetic interference shielding properties of nanocomposites. The fundamental attributes of the nanosystems leading to the multifunctional applications in diverse areas are further explored throughout this book.This book is a valuable reference source for researchers in materials science and engineering, as well as in related disciplines, such as chemistry and physics. Explains the concepts and fundamental applications of a variety of multifunctional nanomaterials; Introduces fundamental principles in the fields of magnetism and multiferroics; Addresses ferromagnetics, multiferroics, and carbon nanomaterials.

Healthcare Data Analytics and Management (Enhanced Edition)

Healthcare Data Analytics and Management (Enhanced Edition)

Healthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools, opportunities, novel strategies, techniques and challenges for handling big data, data analytics and management in healthcare. As the rapidly expanding and heterogeneous nature of healthcare data poses challenges for big data analytics, this book targets researchers and bioengineers from areas of machine learning, data mining, data management, and healthcare providers, along with clinical researchers and physicians who are interested in the management and analysis of healthcare data. Covers data analysis, management and security concepts and tools in the healthcare domain Highlights electronic medical health records and patient information records Discusses the different techniques to integrate Big data and Internet-of-Things in healthcare, including machine learning and data mining Includes multidisciplinary contributions in relation to healthcare applications and challenges

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction (Enhanced Edition)

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction (Enhanced Edition)

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction provides an up-to- date overview on the broad area of wind generation and forecasting, with a focus on the role and need of Machine Learning in this emerging field of knowledge. Various regression models and signal decomposition techniques are presented and analyzed, including least-square, twin support and random forest regression, all with supervised Machine Learning. The specific topics of ramp event prediction and wake interactions are addressed in this book, along with forecasted performance.Wind speed forecasting has become an essential component to ensure power system security, reliability and safe operation, making this reference useful for all researchers and professionals researching renewable energy, wind energy forecasting and generation. Features various supervised machine learning based regression models Offers global case studies for turbine wind farm layouts Includes state-of-the-art models and methodologies in wind forecasting

Sustainable Bioenergy

Sustainable Bioenergy

Sustainable Bioenergy: Advances and Impacts presents a careful overview of advances and promising innovation in the development of various bioenergy technologies. It covers the production of bio-jet fuel, algal biofuels, recent developments in bioprocesses, nanotechnology applications for energy conversion, the role of different catalysts in the production of biofuels, and the impacts of those fuels on society. The book brings together global experts to form a big picture of cutting-edge research in sustainable bioenergy and biofuels. It is an ideal resource for researchers, students, energy analysts and policymakers who will benefit from the book’s overview of impacts and innovative needs. Explores the most recent advances in biofuels and related energy systems, including innovations in catalysts and biocatalysts Provides an overview of the impacts of bioenergy and its sustainability aspects Discusses real-life cases of implementation of bioenergy systems on an industrial scale

Handbook of Research on Blockchain Technology (Enhanced Edition)

Handbook of Research on Blockchain Technology (Enhanced Edition)

Handbook of Research on Blockchain Technology presents the latest information on the adaptation and implementation of Blockchain technologies in real world business, scientific, healthcare and biomedical applications. The book's editors present the rapid advancements in existing business models by applying Blockchain techniques. Novel architectural solutions in the deployment of Blockchain comprise the core aspects of this book. Several use cases with IoT, biomedical engineering, and smart cities are also incorporated. As Blockchain is a relatively new technology that exploits decentralized networks and is used in many sectors for reliable, cost-effective and rapid business transactions, this book is a welcomed addition on existing knowledge. Financial services, retail, insurance, logistics, supply chain, public sectors and biomedical industries are now investing in Blockchain research and technologies for their business growth. Blockchain prevents double spending in financial transactions without the need of a trusted authority or central server. It is a decentralized ledger platform that facilitates verifiable transactions between parties in a secure and smart way. Presents the evolution of blockchain, from fundamental theories, to present forms Explains the concepts of blockchain related to cloud/edge computing, smart healthcare, smart cities and Internet of Things (IoT) Provides complete coverage of the various tools, platforms and techniques used in blockchain Explores smart contract tools and consensus algorithms Covers a variety of applications with real world case studies in areas such as biomedical engineering, supply chain management, and tracking of goods and delivery

The Structure of Scientific Revolutions

The Structure of Scientific Revolutions

“One of the most influential books of the 20th century,” the landmark study in the history of science with a new introduction by philosopher Ian Hacking (Guardian, UK).First published in 1962, Thomas Kuhn’s The Structure of Scientific Revolutions ”reshaped our understanding of the scientific enterprise and human inquiry in general.” In it, he challenged long-standing assumptions about scientific progress, arguing that transformative ideas don’t arise from the gradual process of experimentation and data accumulation, but instead occur outside of “normal science.” Though Kuhn was writing when physics ruled the sciences, his ideas on how scientific revolutions bring order to the anomalies that amass over time in research experiments are still instructive in today’s biotech age (Science).This new edition of Kuhn’s essential work includes an insightful introduction by Ian Hacking, which clarifies terms popularized by Kuhn, including “paradigm” and “incommensurability,” and applies Kuhn’s ideas to the science of today. Usefully keyed to the separate sections of the book, Hacking’s introduction provides important background information as well as a contemporary context. This newly designed edition also includes an expanded and updated index.

Data Science for Genomics (Enhanced Edition)

Data Science for Genomics (Enhanced Edition)

Data Science for Genomics presents the foundational concepts of data science as they pertain to genomics, encompassing the process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions and supporting decision-making. Sections cover Data Science, Machine Learning, Deep Learning, data analysis, and visualization techniques. The authors then present the fundamentals of Genomics, Genetics, Transcriptomes and Proteomes as basic concepts of molecular biology, along with DNA and key features of the human genome, as well as the genomes of eukaryotes and prokaryotes. Techniques that are more specifically used for studying genomes are then described in the order in which they are used in a genome project, including methods for constructing genetic and physical maps. DNA sequencing methodology and the strategies used to assemble a contiguous genome sequence and methods for identifying genes in a genome sequence and determining the functions of those genes in the cell. Readers will learn how the information contained in the genome is released and made available to the cell, as well as methods centered on cloning and PCR. Provides a detailed explanation of data science concepts, methods and algorithms, all reinforced by practical examples that are applied to genomics Presents a roadmap of future trends suitable for innovative Data Science research and practice Includes topics such as Blockchain technology for securing data at end user/server side Presents real world case studies, open issues and challenges faced in Genomics, including future research directions and a separate chapter for Ethical Concerns

Spectroscopy of Polymer Nanocomposites (Enhanced Edition)

Spectroscopy of Polymer Nanocomposites (Enhanced Edition)

Spectroscopy of Polymer Nanocomposites covers all aspects of the spectroscopic characterization of polymer nanocomposites. More than 25 spectroscopy characterization techniques – almost all used in materials science – are treated in the book, with discussion of their potentialities and limitations. By comparing the techniques with each other and presenting the techniques together with their specific application areas, the book provides scientists and engineers the information needed for solving specific problems and choosing the right technique for analyzing the material structure. From this, the dispersion structure of fillers, property relations and filler-polymer interactions can be determined, and, ultimately, the right materials can be chosen for the right applications.Besides the techniques and structure-property relations, aspects covered include: phase segregation of filler particles, filler agglomeration and deagglomeration, filler dispersion, filler-polymer interactions, surfaces and interfaces. The book also examines recent developments, as well as unresolved issues and new challenges, in the characterization of surfaces and interfaces in polymer nanocomposites. This handpicked selection of topics, and the combined expertise of contributors from industry, academia, government and private research organizations across the globe, make this survey an outstanding reference source for anyone involved in the field of polymer nanocomposites in academia or industry. Provides comprehensive coverage of spectroscopy techniques for analyzing polymer nanocomposites Enables researchers and engineers to choose the right technique and make better materials decisions in research and a range of industries Presents the fundamentals, information on structure-property relations, and all other aspects relevant for understanding spectroscopic analyses of nanoreinforced polymers and their applications

Green Energy Systems (Enhanced Edition)

Green Energy Systems (Enhanced Edition)

Green Energy Systems: Design, Modelling, Synthesis and Applications provides a comprehensive introduction to the design, modeling, optimization and application of predictable and alternative energy systems. With a strong focus on the fundamentals, the book provides an overview of the energy potential and conversion topology of green energy sources, the design and analysis of off grid solar and wind energy sources, and their application in effective energy management in rural communities. Sections address energy systems from solar, wind, biomass, and hybrid energy sources, and include discussions of power electronic circuit topologies for energy conversion in both off and on grid systems. The second part of the book addresses energy harvesting at different scales, with a particular emphasis on micro energy harvesting for low power electronics like wearable devices. A wide range of applications are also discussed, alongside their challenges and solutions. Finally, case studies are presented on select topics to give readers deeper insights into the real-world applications discussed. Introduces the fundamental principles underlying green energy systems, their characterization, analysis, modelling, and evaluation Includes a wide range of applications of new functional materials for next-generation devices Provides supporting data and calculations alongside real-world case studies

Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies

Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies

Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including issues of grid stability with variability in renewable energy vs. traditional baseload energy generation. Providing solutions to current critical environmental, economic and social issues, this book comprises various complex nonlinear interactions among different parameters to drive the integration of renewable energy into the grid. It considers how artificial intelligence and machine learning techniques are being developed to produce more reliable energy generation to optimize system performance and provide sustainable development.As the use of artificial intelligence to revolutionize the energy market and harness the potential of renewable energy is essential, this reference provides practical guidance on the application of renewable energy with AI, along with machine learning techniques and capabilities in design, modeling and for forecasting performance predictions for the optimization of renewable energy systems. It is targeted at researchers, academicians and industry professionals working in the field of renewable energy, AI, machine learning, grid Stability and energy generation. Covers the best-performing methods and approaches for designing renewable energy systems with AI integration in a real-time environment Gives advanced techniques for monitoring current technologies and how to efficiently utilize the energy grid spectrum Addresses the advanced field of renewable generation, from research, impact and idea development of new applications

Security and Privacy Issues in Internet of Medical Things

Security and Privacy Issues in Internet of Medical Things

Security and Privacy Issues in Internet of Medical Things addresses the security challenges faced by healthcare providers and patients. As IoMT devices are vulnerable to cyberattacks, and a security breach through IoMT devices may act as a pathway for hackers to enter hospital networks, the book covers a very timely topic. The incorporation of blockchain in the healthcare environment has given birth to the Internet of Medical Things (IoMT), which consists of a collection of healthcare systems that espouse groundbreaking technologies. Systems consist of inter-linked sensors, wearable technology devices and clinical frameworks that perform explicit, secure machine-to-machine and cloud platform communications.The significance of IoMT in the field of healthcare is undoubtedly a win-win situation for patients through technology enhancements and a collection of analytics that helps in better diagnosis and treatment. Due to higher accuracy levels, IoMT devices are more reliable in reporting and data tracking and help avoid human errors and incorrect reporting. Provides methods for constructing novel IoMT architectures and middleware services for healthcare applications to protect and secure patient data and privacy Presents readers with information security and privacy models for IoMT, including Artificial Intelligence and Deep Learning, Data Storage security, Cloud, Fog and Edge computing security, and Wireless sensor device security Provides readers with case studies for real-world applications of IoMT security, including risk assessment for IoMT, Ethical issues in IoMT, Security assessment frameworks, and Threat-based security analysis for IoMT

Operation Paperclip

Operation Paperclip

The “remarkable” story of America's secret post-WWII science programs (The Boston Globe), from the New York Times bestselling author of Area 51.  In the chaos following World War II, the U.S. government faced many difficult decisions, including what to do with the Third Reich's scientific minds. These were the brains behind the Nazis' once-indomitable war machine. So began Operation Paperclip, a decades-long, covert project to bring Hitler's scientists and their families to the United States.Many of these men were accused of war crimes, and others had stood trial at Nuremberg; one was convicted of mass murder and slavery. They were also directly responsible for major advances in rocketry, medical treatments, and the U.S. space program. Was Operation Paperclip a moral outrage, or did it help America win the Cold War?Drawing on exclusive interviews with dozens of Paperclip family members, colleagues, and interrogators, and with access to German archival documents (including previously unseen papers made available by direct descendants of the Third Reich's ranking members), files obtained through the Freedom of Information Act, and dossiers discovered in government archives and at Harvard University, Annie Jacobsen follows more than a dozen German scientists through their postwar lives and into a startling, complex, nefarious, and jealously guarded government secret of the twentieth century.In this definitive, controversial look at one of America's most strategic, and disturbing, government programs, Jacobsen shows just how dark government can get in the name of national security."Harrowing...How Dr. Strangelove came to America and thrived, told in graphic detail." —Kirkus Reviews

The God Point

The God Point

Dear Planet-mate, Ever wondered how to respond when an extra-terrestrial entity asks about our identity?  Should we reveal our identity as the typical 2020s Homo sapiens who are intelligent enough to get embroiled in so-called value chain jobs, intricate lifestyles, overdosage of emotions and with pseudo ownership of organic bodies, which must be dissolved back to the true owner—Planet Earth? Or Should we introduce ourselves as the absolute earthmen, Humans and the Supreme species of the planet? Life transcends from ‘is to was’ while it has many unanswered questions between 2L. The term ‘2L’ refers to ‘Live and Leave’. What happens in between is nothing but Fillers of Life! We understand basics through spiritual and philosophical cognizance about living an ostensibly beautiful life, albeit it is not. Why?  Several questions have us clinging to the think–rethink infinity cycle. God Point finds credible answers in a more scientific and less spiritual approach. God Point is about viewing life from infinite God coordinates to make life more interpretable, pragmatic and delightful.

Residential Microgrids and Rural Electrifications (Enhanced Edition)

Residential Microgrids and Rural Electrifications (Enhanced Edition)

Residential Microgrids and Rural Electrifications contains an overview of microgrids' architecture, load assessments, designing of microgrids for residential systems, and rural electrifications to help readers understand the fundamentals. Including many new topics in the field of home automation and the application of IoT for microgrids monitoring and control, the book includes sections on the infrastructure necessary for charging Electric Vehicles in residential systems and rural electrifications and how to estimate the energy and cost of various combinations of energy resources. Many examples and practical case studies are included to enhance and reinforce learning objective goals.Those in engineering research and technical professions will be able to perform energy and cost analyses of various combinations of energy sources by using advanced, real simulation tools. Features methods for adopting and applying artificial intelligent techniques in microgrids for improving reliability Addresses the role of battery energy storage systems, the reliable operation of microgrids, international standards such as IEC and IEEE standards, and safe handling techniques Covers IoT for the monitoring and control of microgrids and the adoption of recent technologies

Handbook of Polymer Nanocomposites for Industrial Applications (Enhanced Edition)

Handbook of Polymer Nanocomposites for Industrial Applications (Enhanced Edition)

Handbook of Polymer Nanocomposites for Industrial Applications summarizes the properties of polymer nanocomposites, discusses their industrial scale fabrication methods, and presents their applications for various industrial sectors at both experimental and theoretical models scales. The book also addresses existing challenges for the use of polymer nanocomposites in major industrial sectors. Overall, the aim of this book is to summarize the recent advancements in the use of PNCs in a variety of industry sectors. Particular attention is paid to those approaches that enable green and sustainable industrial developments. The legal, economical and toxicity aspects of polymer nanocomposite are also presented in detail. Comprehensively explores how polymer nanocomposites are being used to create more efficient products and devices in a variety of industry sectors Explores the environmental, legal, health and safety issues of using polymer nanocomposites in an industrial context Develops a roadmap to the wider commercial utilization of polymer nanocomposites Emphasizes the use of polymer nanocomposites in green and sustainable technologies

Nature-Inspired Optimization Algorithms (Enhanced Edition)

Nature-Inspired Optimization Algorithms (Enhanced Edition)

Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, and multi-objective optimization. This book can serve as an introductory book for graduates, for lecturers in computer science, engineering and natural sciences, and as a source of inspiration for new applications. Discusses and summarizes the latest developments in nature-inspired algorithms with comprehensive, timely literature Provides a theoretical understanding and practical implementation hints Presents a step-by-step introduction to each algorithm Includes four new chapters covering mathematical foundations, techniques for solving discrete and combination optimization problems, data mining techniques and their links to optimization algorithms, and the latest deep learning techniques, background and various applications

Predictive Modelling for Energy Management and Power Systems Engineering (Enhanced Edition)

Predictive Modelling for Energy Management and Power Systems Engineering (Enhanced Edition)

Predictive Modeling for Energy Management and Power Systems Engineering introduces readers to the cutting-edge use of big data and large computational infrastructures in energy demand estimation and power management systems. The book supports engineers and scientists who seek to become familiar with advanced optimization techniques for power systems designs, optimization techniques and algorithms for consumer power management, and potential applications of machine learning and artificial intelligence in this field. The book provides modeling theory in an easy-to-read format, verified with on-site models and case studies for specific geographic regions and complex consumer markets. Presents advanced optimization techniques to improve existing energy demand system Provides data-analytic models and their practical relevance in proven case studies Explores novel developments in machine-learning and artificial intelligence applied in energy management Provides modeling theory in an easy-to-read format

Carbon Nanomaterials for Agri-food and Environmental Applications (Enhanced Edition)

Carbon Nanomaterials for Agri-food and Environmental Applications (Enhanced Edition)

Carbon Nanomaterials for Agri-food and Environmental Applications discusses the characterization, processing and applications of carbon-based nanostructured materials in the agricultural and environmental sectors. Sections discuss the synthesis and characterization of carbon nanotubes, the technological developments in environmental applications of carbon-based nanomaterials, and agri-food applications. The book also covers the toxic effects of engineered carbon nanoparticles on the environment, and in plants and animals. Finally, quality control and risk management are addressed to assess health and environmental risks. This is an applicable book for graduate students, researchers and those in industrial sectors of science and technology who want to learn more about carbon nanomaterials. Compares a range of carbon-based nanomaterials, showing how they are used for a range of agricultural and environmental applications Discusses the challenges and toxicity of different types of carbon-based nanomaterials for environmental and agricultural applications Explores when different classes of nanomaterial should be used in different environments