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Books in Physical sciences and engineering

  • Multifunctional Carbon Nano-Onions Based Nanocomposites

    Fundamentals, Design and Applications
    • 1st Edition
    • Ayesha Kausar
    • English
    Multifunctional Carbon Nano-Onion Based Nanocomposites: Synthesis, Properties and Applications is a comprehensive guide that delves into the structure, design, fabrication, and functional characteristics of carbon nano-onions (CNOs) and their applications in nanocomposites. The book covers timely and significant advances in the field of CNOs, highlighting their unique microstructural, electrical, thermal, mechanical, tribological, and biological properties. It provides a detailed examination of CNOs' roles in various matrices, including thermoplastics, thermosetting polymers, conjugated polymers, rubbers, metals, and metal oxides. Key topics include environmental sustainability, energy storage and conversion (such as solar cells and lithium-ion batteries), electronic applications (sensors), and biomedical applications.In addition, it discusses the challenges and opportunities faced by researchers in the field and the industrial-scale production and economic aspects of these materials. The structure is organized to first introduce the fundamental aspects of CNOs and then progressively dive into specific applications and future prospects. It is intended for researchers, engineers, and academics interested in nanotechnology and nanocomposites, serving as a vital resource for understanding the evolving landscape of CNO nanocomposites and their wide-ranging applications in modern science and technology.
  • Extended Hypergeometric Functions and Orthogonal Polynomials

    • 1st Edition
    • Praveen Agarwal + 1 more
    • English
    Extended Hypergeometric Functions and Orthogonal Polynomials presents a comprehensive and accessible resource for researchers and graduate students interested in exploring the rich connections between extended hypergeometric functions, orthogonal polynomials, and multivariable polynomials. Integrating all three fields and their applications in Maple, Mathematica, and MATLAB, this book fosters interdisciplinary understanding and inspires new avenues of research in mathematics, engineering, physics, and computer science. It also provides a glimpse into future research directions in these areas, including potential applications in emerging fields of applied mathematics and interdisciplinary collaborations. Each chapter begins with an introduction, includes sections on theory, followed by sections on applications, and ends with exercises, problems, references and suggested readings.
  • Metal and Metal Oxide Nanoparticles in Textile Applications

    • 1st Edition
    • Seiko Jose + 2 more
    • English
    In today's consumer-driven market, textiles are valued not only for their aesthetic appeal but also for their functional protection properties. The use of nanoparticles for specialty finishing has emerged as a promising area in textile processing and engineering. Among these nanoparticles, inorganic metal and metal oxides are particularly significant due to their large surface area and high surface energy, allowing them to impart multifunctional properties to textiles. Metal and Metal Oxide Nanoparticles in Textile Applications serves as a comprehensive guide, offering authors a profound understanding of the application of various metal and metal oxide nanoparticles on textiles. The content is thoughtfully organized, beginning with the first five chapters providing insights into the introduction of metal nanoparticles, their conventional and advanced synthesis methods, and characterization techniques. Subsequently, the following eight chapters delve into the effects of different metal nanoparticles, such as Ag, Au, Cu, Al, Ti, and others, along with their oxides, on textiles. The final section of the book encompasses chapters covering metal nanocomposites, electrospinning techniques, toxicology considerations, branding applications, and the challenges and future prospects of metal nanoparticles on textiles. This title serves as an invaluable asset to academicians, scholars, researchers, and professionals in the industry.
  • Edge Intelligence

    Advanced Deep Transfer Learning for IoT Security
    • 1st Edition
    • Jawad Ahmad + 5 more
    • English
    Edge Intelligence: Advanced Deep Transfer Learning for IoT Security presents a comprehensive exploration into the critical intersection of cybersecurity, edge computing, and deep learning, offering practitioners, researchers, and cybersecurity professionals a definitive guide to protect IoT/IIoT systems. This book delves into the synergistic potential of edge computing and advanced machine/deep learning algorithms, providing insights into lightweight and resource-efficient models with a special focus on resource-constrained edge devices. The rapidly evolving nature of cyberattacks underscores the need for updated and integrated resources that address the intersection of cybersecurity, edge computing, and deep learning. The authors address this issue by offering practical insights, lightweight models, and proactive defense mechanisms tailored to the unique challenges of securing edge devices and networks. This book is not only written to provide its audience effective strategies to detect and mitigate network intrusions by leveraging edge intelligence and advanced deep transfer learning techniques but also to provide practical insights and implementation guidelines tailored to resource-constrained edge devices.
  • Advanced Analytics for Reliability and Resilience of Energy System

    • 1st Edition
    • Fausto Pedro Garcia Marquez + 2 more
    • English
    Advanced Analytics for Reliability and Resilience of Energy Systems prepares students, researchers, and industry engineers to design and maintain reliable, sustainable energy systems using state-of-the-art AI techniques. This book provides a clear foundation in the fundamentals of power systems, statistics, and reliability, including resilience principles and strategies, practical applications, and real-world solutions. The AI tools presented range across forecasting, the Internet-of-Things, machine learning, digital twin technology, and big data analysis, with a variety of applications to avoid power outages, minimise disruption, and accurately assess system resilience. Including case studies and details methodology for practical techniques, Advanced Analytics for Reliability and Resilience of Energy Systems helps energy systems engineers and researchers to provide a stable and consistent power supply, in the face of climate change challenges and the energy transition
  • High-Value Bioenergy Recovery from Wastewater

    • 1st Edition
    • Bing-Jie Ni + 1 more
    • English
    High-Value Bioenergy Recovery from Wastewater presents the science and technologies behind high-value liquid, colloid and solid bioenergy recovery in municipal sewage treatment plants, thus allowing for the easy collection, storage, and transportation of recovered bioenergy. Broken into four parts, the book addresses potential high-value bioenergy from sewage, the science behind and technical module related to high-value liquid bioenergy recovery and high-value colloid and solid bioenergy recovery, and concludes with integrated modules for high-value bioenergy recovery. Academic and industry researchers working in bioenergy, scientists and engineers working in the treatment of wastewater, and industry practitioners who are interested in adding value to the sewage and the sludge obtained in the treatment of wastewater will benefit from this reference, as will advanced graduate and post-graduate students interested in bioenergy and wastewater treatment.
  • Waste Derived Catalysts

    Sustainable Materials for Energy and Environment
    • 1st Edition
    • Chaudhery Mustansar Hussain + 3 more
    • English
    Waste Derived Catalysts: Sustainable Materials for Energy and Environment explores the significant potential of waste materials as catalyst precursors for clean energy generation and environmental remediation. The book simultaneously addresses the problems of waste management, resource depletion, and environmental pollution while promoting the transition towards a sustainable and cleaner energy future. It provides a comprehensive overview of the latest advancements, methodologies, and applications of waste derived catalysts in the fields of energy and environment and as such it serves as a valuable resource for researchers, scientists, engineers, policymakers, and students who are interested in exploring the potential of waste materials as catalyst precursors and their implications in sustainable energy conversion and environmental remediation. The book covers a wide range of waste streams, including agricultural and biomass waste, industrial and municipal waste, and electronic waste, shedding light on their conversion into catalysts through appropriate processing techniques. Furthermore, the book investigates various clean energy technologies, such as hydrogen production, fuel cells, carbon capture and utilization, and renewable fuel synthesis, where waste derived catalysts have shown promise.
  • Materials Kinetics

    Transport and Rate Phenomena
    • 2nd Edition
    • John C. Mauro
    • English
    Materials Kinetics: Transport and Rate Phenomena, Second Edition provides readers with a clear understanding of how physical-chemical principles are applied to fundamental kinetic processes. The book integrates advanced concepts with foundational knowledge and cutting-edge computational approaches, demonstrating how diffusion, morphological evolution, viscosity, relaxation, and other kinetic phenomena can be applied to practical materials design problems across all classes of materials. Thermodynamics, Fick’s law, dislocation and interfacial motion, kinetics of phase separation, molecular dynamics, energy landscapes, and Monte Carlo simulation techniques are each covered. This second edition also features brand new chapters on sintering, topological constraint theory, ab initio molecular dynamics, thermal conduction, and electrical conduction. All preexisting chapters have been revised and updated to include new exercises, and topics covered have been expanded to include examples of multicomponent diffusion, particle jump frequency, diffusion along dislocations, modeling of grain boundary diffusion, applications of phase-field modeling, applications of diffuse interface theory, and much more.
  • Understanding Satellite Navigation

    • 2nd Edition
    • Rajat Acharya
    • English
    Understanding Satellite Navigation, Second Edition presents the foundational principles of satellite navigation technology with the bare minimum of mathematics and without resorting to complex equations. By emphasizing first principles, the book guides readers through each concept using practical demonstrations and fully worked examples, allowing theory to emerge organically. Acomprehensive suite of MATLAB simulations illuminates how signals and systems respond to different configurations, transforming abstract ideas into visible, interactive models. Implementation strategies and real-world applications are woven throughout, alongside in-depth treatments of special topics such as Space Weather, the Kalman Filter, and ionospheric dynamics.
  • Hydrological Insights

    Synergizing Groundwater Models, Remote Sensing, and AI for Water Sustainability
    • 1st Edition
    • Hossein Hashemi + 2 more
    • English
    Hydrological Insights: Synergizing Groundwater Models, Remote Sensing, and AI for Water Sustainability offers an in-depth exploration of hydrological modeling and its cutting-edge advancements, presented across six comprehensive sections. Part I establishes the foundational principles and methodologies of hydrological modeling, while Part II delves into sophisticated techniques and tools that enhance the accuracy and efficiency of hydrological studies. Part III highlights the powerful integration of remote sensing and artificial intelligence, showcasing how these technologies revolutionize modern hydrological practices.Part IV focuses on environmental impact assessment and management strategies, outlining effective methods for sustainable water resource management. Part V covers the latest advancements in remote sensing and machine learning, emphasizing their pivotal role in contemporary hydrology. Finally, Part VI presents real-world case studies and future directions, offering practical insights and forward-looking perspectives. With meticulously crafted chapters that combine theoretical foundations with practical applications, this book is an essential resource for students, researchers, and professionals seeking to advance their understanding of hydrology through the integration of remote sensing and AI.