Saltar al contenido principal
Elsevier

Libros en Ingeniería y Tecnología

  • Diagnostic Imaging Systems

    • 1 Edición
    • Ayman S. El-Baz + 1 más
    • Inglés
    Neural engineering is an emerging and fast-moving interdisciplinary research area that combines engineering with (a) electronic and photonic technologies, (b) computer science, (c) physics, (d) chemistry, (e) mathematics, and (f) cellular, molecular, cognitive, and behavioral neuroscience. This helps us understand the organizational principles and underlying mechanisms of the biology of neural systems and to further to study the behavioral dynamics and complexity of neural systems in nature.The field of neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction, including (i) the representation of sensory and motor information, (ii) electrical stimulation of the neuromuscular system to control muscle activation and movement, (iii) the analysis and visualization of complex neural systems at multiscale from the single cell to system levels to understand the underlying mechanisms, (iv) development of novel electronic and photonic devices and techniques for experimental probing, the neural simulation studies, (v) the design and development of human–machine interface systems and artificial vision sensors, and (vi) neural prosthesis to restore and enhance the impaired sensory and motor systems and functions.To highlight this emerging discipline, Dr. Ayman El-Baz and Dr. Jasjit Suri have developed Advances in Neural Engineering, covering the broad spectrum of neural engineering subfields and applications. This Series includes 7 volumes in the following order: Volume 1: Signal Processing Strategies, Volume 2: Brain-Computer Interfaces, Volume 3: Diagnostic Imaging Systems, Volume 4: Brain Pathologies and Disorders, Volume 5: Computing and Data Technologies, Volume 6: Advanced Brain Imaging Techniques and Volume 7: Neural Science Ethics.Volume 3 provides a comprehensive review of diagnostic imaging systems and technologies, including brain tumor characterization and classification techniques, tumor segmentation using AI and deep neural networks, dynamic brain imaging analysis, and functional brain imaging. The authors discuss existing challenges in the domain of diagnostic imaging systems and suggest possible research directions.

  • Dynamics of Tethered Satellites and Space Elevators

    • 1 Edición
    • Arun K. Misra + 1 más
    • Inglés
    Dynamics of Tethered Satellites and Space Elevators provides a comprehensive overview of the current state of knowledge of tethered space systems, including their potential applications, history, and a description of past and current space tether missions. This is followed by an in-depth investigation into various aspects of the dynamics and control of rigid and flexible single-tether space systems, tether propulsion, and multi-tether satellite systems. The use of tethers to remove space debris is discussed next alongside other sustainability-relat... considerations, making the content all the more relevant in view of the global pressures that stakeholders in the space sector currently face.An entire section of chapters on the dynamics of partial and full space elevators concludes the volume.

  • BSIM–SOI Industry-Standard Compact Model

    Surface Potential-Based FET Model for RFIC Design
    • 1 Edición
    • Chetan Kumar Dabhi + 5 más
    • Inglés
    BSIM–SOI Industry-Standard Compact Model: Surface Potential-Based FET Model for RFIC Design provides complete coverage of compact modeling and design techniques specific to SOI transistors. The book is designed to be the first comprehensive guide that thoroughly explains the industry-standard BSIM-SOI compact model, along with the unique modeling and RF design techniques necessary for the accurate extraction and implementation of the industry standard BSIM-SOI model. This book will be a valuable reference for the expanding field of SOI technology, catering specifically to circuit designers, device engineers, academic researchers, and students.This book will equip designers, engineers, and researchers with the knowledge and tools required to optimize SOI-based circuit performance and system integration. The book explains fundamental surface-potential calculations and addresses various real device effects, such as floating body, self-heating, dynamic depletion effects, and layout influences to accurately replicate realistic device behavior. Additionally, the step-by-step parameter extraction procedures for the BSIM-SOI model are outlined, and the results of benchmark tests are also presented.

  • Electronics Cooling: From the Chip to the Datacenter

    • 1 Edición
    • Volumen 62
    • Inglés
    A concise, practical guide that traces thermal management from the microchip to the data center. It explains how heat is generated at the transistor level, and how cooling strategies, conduction, convection, liquid immersion, and phase change cooling, scale up to keep entire data centers reliable and energy-efficient. The book blends fundamentals (heat transfer, modeling, materials) with real-world design guidelines, case studies, and best practices for engineers, researchers, and students working on electronics cooling across all scales.

  • Mechanical Joining by Material Flow

    • 1 Edición
    • Mohammad Mehdi Kasaei + 4 más
    • Inglés
    Mechanical Joining by Material Flow provides sought-after experimental information on process design, process modeling, and joint characterization techniques for students, researchers, and engineering professionals who want to learn about advanced joining systems for lightweight materials. Chapters cover mechanical joining by plastic deformation, including clinching and self-piercing riveting, and friction-based processes, such as friction stir welding to form a mechanical joint. Though these processes are mainly used to establish metallurgical bonding, their unique characteristics and the material flow they generate has led to an increased use of these techniques for joining difficult-to-weld materials.Other sections introduce innovative technologies developed based on material flow to meet existing industry needs to join materials with different structural properties in different scales or shapes. To furnish readers with a more usefully comprehensive coverage, the team of experts behind the book has included methodological principles as well as discussions on advantages, drawbacks, and future directions of each technique, alongside application examples and case studies.

  • Sustainability and Construction

    The Global Context and the New Zealand Perspective
    • 1 Edición
    • Kamal Dhawan + 3 más
    • Inglés
    Sustainability and Construction: The Global Context and the New Zealand Perspective explores various dimensions of sustainability in construction. It commences with a comprehensive discourse on the sustainability concept and its construction context.Next, it examines sustainability across the various phases of a typical construction project—from inception, through operationalization, to end-of-life management—on one hand, and, on the other, the sustainability of associated processes and domains such as supply chains, logistics, delivery models, and waste management. The narrative is extended through sustainability rating schemes, regenerative built environment, and the context of technology in construction. A strategic organizational viewpoint is presented through an integrated treatment of corporate sustainability, its assessment, reporting, and benchmarking, against the backdrop of the sustainability imperative. Stakeholder perspectives and the “wickedness” of sustainable construction in New Zealand conclude the work.The unique treatment of the overarching themes impacting sustainability in the global construction industry and their intersection with the New Zealand standpoint delivers a well-balanced and thoroughly researched resource. It is a value-added, highly visual text for engineers, students, researchers, policy makers, and industry stakeholders alike.

  • Digital Twin and Industry 4.0

    Concepts, Frameworks, and Applications
    • 1 Edición
    • Abid Haleem + 1 más
    • Inglés
    Digital Twin and Industry 4.0: Concepts, Frameworks, and Applications champions the use of digital twin technologies in the support of the fourth industrial revolution. These technologies, such as the Internet of Things, Artificial Intelligence, cloud computing, big data analytics, robotics, and VR, can be combined to benefit a wide variety of industries, from healthcare and manufacturing to cyber security. The opening chapter compares Industry 4.0 to previous industrial ages. The subsequent seventeen chapters discuss each respective technology, considering its classification, advantages, disadvantages, roles, applications and the potential for future developments. Alongside AI and IoT, the book looks at additive manufacturing, 5G, blockchain, sensors, holography, 3D-printing, drones, machine vision, and cyber-physical systems (CPS). Overall, Digital Twin and Industry 4.0 provides a comprehensive synthesis of theories and technologies underpinning digital twins for Industry 4.0, and interdisciplinary coverage that connects digital twins with the other technologies, offering applied case studies and examples that bridge the gap between academic research and industrial implementation.

  • Digital Twin Technology for Autonomous Electric Vehicles

    Recent Trends and Future Perspectives
    • 1 Edición
    • Jeevanand Seshadrinath + 4 más
    • Inglés
    Digital Twin Technology for Autonomous Electric Vehicles: Recent Trends and Future Perspectives serves as an essential guide for researchers, advanced students, and engineering professionals eager to harness the transformative potential of this cutting-edge approach. The volume offers an in-depth exploration of the intersection of DT software and AEVs, highlighting how this innovative strategy enhances vehicle functionality, efficiency, safety, and user experience. Reviewing the latest research outcomes and trends and touching on future perspectives, it provides a clear and actionable, step-by-step roadmap that also considers cybersecurity, regulation, ethics, and environmental friendliness.Valuabl... case studies that incorporate practical insights and lessons learned are blended into the work, providing context and application examples in diverse settings. The experts behind the insightful chapters successfully respond to the need for a multidisciplinary resource that bridges theory and best practices while fostering collaborative efforts to further identify and leverage opportunities.

  • Advances in Automotive Exhaust Gas Control and Aftertreatment Technologies

    • 1 Edición
    • Mejdi Jeguirim
    • Inglés
    Paving the way to a more sustainable transportation future, Automotive Exhaust Gas Control and Aftertreatment Technologies provides valuable insights into effective practices and innovative solutions to address the complexities of emissions management for internal combustion engines (both gasoline and diesel), alternative fuel vehicles, and hybrid systems.The book opens with the fundamental theory of pollutants’ formation and a comprehensive examination of the critical challenges posed by harmful emissions to both human health and the environment. The ensuing structured framework allows for an in-depth exploration of exhaust gas control technologies, which delve into catalytic converters, oxidation and reduction methods, and advanced aftertreatment devices. The integration of renewable fuels and hybridization techniques is also addressed, spotlighting their significance in achieving cleaner and more efficient vehicle systems engineering.With contributions from leading experts in the field, this well-thought-out reference volume is the ideal resource for researchers, students, and professionals who aim to drive the evolving automotive landscape forward in a pivotal way, while meeting both regulatory and consumer demands.

  • Artificial Intelligence Methods in Railway Infrastructure Systems

    Application of Data Centric Engineering
    • 1 Edición
    • Diogo Ribeiro + 5 más
    • Inglés
    Artificial Intelligence Methods in Railway Infrastructure Systems: Application of Data Centric Engineering offers a thorough exploration of the latest advancements transforming railway management. With a strong focus on practical and theoretical approaches, this book introduces innovative AI techniques including machine learning, computer vision, and predictive analytics. These methodologies are presented in the context of railway infrastructure, empowering engineers and researchers to utilize cutting-edge technology for enhanced system reliability. By bridging the gap between theory and real-world applications, the book enables early detection of anomalies, supporting proactive maintenance strategies and improved operational efficiency in railway networks.This book acts as a vital reference for those seeking to understand and implement AI-driven solutions in railway systems, encouraging the adoption of anticipatory strategies to shape future trends. Readers will discover how AI innovations can streamline operations, optimize resource allocation, and significantly improve network safety, making it an essential guide for professionals looking to stay ahead in the evolving field of railway infrastructure management.

Temas relacionados