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Elsevier

Books in Physical sciences and engineering

  • Kinetic Energy Harvesters

    Principles, Technologies, and Applications
    • 1st Edition
    • Amir Musa Abazari + 3 more
    • English
    Kinetic Energy Harvesters: Principles, Technologies, and Applications presents a comprehensive analysis of the five types of kinetic energy harvesters, offering readers a single resource to learn about the principles, technologies, and applications.The opening chapters of the book provide a concise review of free and forced vibration analysis, as well as Multi Degree of Freedom systems. The subsequent chapters systematically examine the five types of energy harvesters, piezoelectric, electromagnetic, magnetostrictive, electrostatic, and triboelectric. Within the chapters, each ambient vibration phenomenon is described in detail, followed by an explanation of the relevant principles. Analytical analyses of kinetic energy and its conversion to electrical energy are then presented, alongside the governing equations, and a discussion of the technologies applications. Finally, MATLAB code is provided for programming calculations.A comprehensive resource on kinetic energy harvesting, Kinetic Energy Harvesters: Principles, Technologies, and Applications is an invaluable resource for anyone working on energy harvesting technologies, energy conversion, or the diverse range of applications for these technologies.

  • The Core Network for 5G Advanced

    • 2nd Edition
    • Stefan Rommer + 5 more
    • English
    The Core Network for 5G Advanced, Second Edition covers up to the 3GPP release 17 & 18 which includes the core network for 5G Advanced as well as a large number of new features added by 3GPP to expand the initial 5G Core specifications in rel-15/16. This new release includes A complete update to reflect developments in Releases 17 and 18, along with new chapters on Service Exposure, non-3GPP access, 3GPP access for new use cases, Edge computing, Industry and Enterprise features, Regulatory services and Network automation and AI/ML, an overview of the 5G Core Architecture, and much more.Examples of 5G network deployment options for different use cases are also included. Written by authors who are heavily involved in the development of 5G standards, and who have written several successful books on 4G and 5G Core Networks, this book provides an authoritative reference on the technologies and standards of the 3GPP 5G Core network.

  • Prestressed Members with External Fiber-Reinforced Polymer (FRP) Tendons

    Design, Assessment, and Modeling
    • 1st Edition
    • Tiejiong Lou + 2 more
    • English
    Prestressed Members with External Fiber Reinforced Polymer (FRP) Tendons: Design, Assessment and Modelling provides an overview of using FRPs, including how to predict the short-term and long-term behavior of externally prestressed concrete or steel-concrete composite members, their second-order effects, and how to examine the effectiveness of using FRP tendons instead of steel tendons for external prestressing. As external prestressing is considered to be one of the most powerful techniques in strengthening of existing structures, this book provides a comprehensive resource on the topics covered.The conventional use of prestressing steel is, however, naturally prone to corrosion. The best strategy to solve completely the corrosion problem is the use of nonmetal materials instead of prestressing steel. Fiber reinforced polymer (FRP) composites are ideal materials used for external tendons for their excellent corrosion resistance, high strength and low weight.

  • Green Miniaturized Technologies in Analytical and Bioanalytical Chemistry

    • 1st Edition
    • Volume 109
    • Chaudhery Mustansar Hussain
    • English
    Green Miniaturized Technologies in Analytical and Bioanalytical Chemistry, Volume 109 looks into the potential of analytical chemistry by studying trends and technologies for the future of the discipline. Chapters in this new release include Green Miniaturized Technologies Based Sample Preparation Techniques, Green Miniaturized Extraction technologies, Green sorbent-based microextraction techniques in sample preparation for food analysis, Sample treatment based on solid miniaturized techniques: An effective approach for biological samples evaluation, Lab on Chip with Green Miniaturized Technologies, Analytical devices based on Green Miniaturized Technologies, and much more.Additional sections delve into Sensing Platforms Based on Green Miniaturized Technologies, Point-of-care applications with Green Miniaturized Technologies, Future of Analytical Chemistry with Green Miniaturized Technologies, Eutectic Mixtures for Efficient Extraction and Enrichment of Bioactive(s) from Complex Sample Matrix: Sample Pretreatment and Measurements, Green miniaturized technologies for microplastic/nanopla... separation and analysis, and much more.

  • Sustainable Development Perspectives in Earth Observation

    • 1st Edition
    • Mukunda Behera + 4 more
    • English
    Sustainable Development Perspectives in Earth Observation offers expert insight into the latest progress made in terrestrial, oceanic, and atmospheric processes, and their interlinkage in the face of changing climate using Earth observation. By addressing the use of advanced datasets, measurement techniques, modeling approaches, analytical protocols, and interpretation methods, the editors have guided the book towards key advances in understanding the evolving dynamics of ecosystems, including coasts, exposure to extreme weather events, and advances in understanding of ocean-atmosphere interactions. Those working towards sustainability through Earth observation will find that this text is a valuable resource for understanding the changing dynamics of the environment in a warming world.

  • Role of Internet of Things and Machine Learning in Smart Healthcare

    • 1st Edition
    • Volume 137
    • English
    Role of Internet of Things and Machine Learning in Smart Healthcare, Volume 137 of the Advances in Computers series, presents detailed coverage of innovations in computer hardware, software, theory, design, and applications. Published since 1960, this series provides contributors with a medium to explore their subjects in greater depth and breadth than typical journal articles. Additionally, the book discusses the basic concepts of the Internet of Things (IoT) and Machine Learning (ML), along with their various applications in smart healthcare. It proposes novel techniques by integrating IoT, cloud computing, and ML algorithms to efficiently manage e-healthcare data and improve security. The volume also addresses research challenges and probable future directions in smart healthcare using IoT and ML, making it a comprehensive resource for researchers, practitioners, and students interested in advancing healthcare technologies.

  • Blockchain and Digital Twin for Smart Hospitals

    • 1st Edition
    • Tuan Anh Nguyen
    • English
    Blockchain and Digital Twins for Smart Healthcare describes the role of blockchain and digital twins in smart healthcare, covering the ecosystem of the Internet of Medical Things, how data can be gathered using a sensor network, which is securely stored, updated, and managed with blockchain for efficient and private medical data exchange. Medical data is collected real-time from devices and systems in smart hospitals: the internet of medical things. This data is integrated to provide insight from the analytics or machine learning software using digital twins. Security and transparency are brought through a combination of digital twin and blockchain technologies.

  • Deep Learning for Multi-Sensor Earth Observation

    • 1st Edition
    • Sudipan Saha
    • English
    Deep Learning for Multi-Sensor Earth Observation addresses the need for transformative Deep Learning techniques to navigate the complexity of multi-sensor data fusion. With insights drawn from the frontiers of remote sensing technology and AI advancements, it covers the potential of fusing data of varying spatial, spectral, and temporal dimensions from both active and passive sensors. This book offers a concise, yet comprehensive, resource, addressing the challenges of data integration and uncertainty quantification from foundational concepts to advanced applications. Case studies illustrate the practicality of deep learning techniques, while cutting-edge approaches such as self-supervised learning, graph neural networks, and foundation models chart a course for future development.Structur... for clarity, the book builds upon its own concepts, leading readers through introductory explanations, sensor-specific insights, and ultimately to advanced concepts and specialized applications. By bridging the gap between theory and practice, this volume equips researchers, geoscientists, and enthusiasts with the knowledge to reshape Earth observation through the dynamic lens of deep learning.

  • Sparsity Measures and their Signal Processing Applications for Machine Condition Monitoring

    • 1st Edition
    • Dong Wang + 1 more
    • English
    Sparsity Measures and their Signal Processing Applications for Machine Condition Monitoring presents newly designed sparsity measures and their advanced signal processing technologies for machine condition monitoring and fault diagnosis. This book systematically covers new sparsity measures including a quasiarithmetic mean ratio framework for fault signatures quantification, a generalized Gini index, as well as classic sparsity measures based on signal processing technologies and a cycle-embedded sparsity measure based on new impulsive mode decomposition technology. This book additionally includes a sparsity measure data-driven framework–based optimized weights spectrum theory and its relevant advanced signal processing technologies.

  • Polymer Extrusion

    Black-Box Reveal
    • 1st Edition
    • Anthony Chi-Ying Wong
    • English
    Plastics extrusion is one of the most important industrial processes wordwide. Over past decades, understanding of extrusion technologies has advanced by the global research efforts, but, due to the fact that the metal barrel hinders direct visualizations to be made by the naked eye, the "true" dynamic processing characteristics of extrusion processes remain unclear. Analytical attempts have thus been carried out either by indirect, static empirical approaches or theoretical mathematical analyses. None of them offer a realistic depiction of what takes place inside the barrel during an extrusion process. As such, the barrel can be considered as a "black-box". This book reveal the “true” dynamic extrusion processing characteristics, accumulated from years of research experience based on the novel visualization technique developed by Professor Zhu of the Beijing University of Chemical Technology. The qualitative discussions within provide not only insight into the scientific aspects of the subject, but also information of practical significance for those in the industry who need to perform process and hardware designs and optimizations. Included are conventional mathematical representations of the single- and twin-screw extrusion technologies. This provides a comprehensive foundation for undergraduate courses in, e.g., plastics processing engineering. Other topics covered are specifically selected to provide a comprehensive technical background and market trend to readers at all levels. Emphasis on the current status and future potential of sustainable and biodegradable polymers will also form part of the discussions.

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