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Books in Physical sciences and engineering

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    • Delay-Doppler Communications

      • 1st Edition
      • February 11, 2022
      • Yi Hong + 2 more
      • English
      • Paperback
        9 7 8 0 3 2 3 8 5 0 2 8 5
      • eBook
        9 7 8 0 3 2 3 8 5 9 6 6 0
      Orthogonal Frequency Division Multiplexing (OFDM) has been the waveform of choice for most wireless communications systems in the past 25 years. This book addresses the “what comes next?” question by presenting the recently proposed waveform known as Orthogonal Time-Frequency-Space (OTFS), which offers a better alternative for high-mobility environments. The OTFS waveform is based on the idea that the mobile wireless channels can be effectively modelled in the delay-Doppler domain. This domain provides a sparse representation closely resembling the physical geometry of the wireless channel. The key physical parameters such as relative velocity and distance of the reflectors with respect to the receiver can be considered roughly invariant in the duration of a frame up to a few milliseconds. This enables the information symbols encoded in the delay-Doppler domain to experience a flat fading channel even when they are affected by multiple Doppler shifts present in high-mobility environments. Delay-Doppler Communications: Principles and Applications covers the fundamental concepts and the underlying principles of delay-Doppler communications. Readers familiar with OFDM will be able to quickly understand the key differences in delay-Doppler domain waveforms that can overcome some of the challenges of high-mobility communications. For the broader readership with a basic knowledge of wireless communications principles, the book provides sufficient background to be self-contained. The book provides a general overview of future research directions and discusses a range of applications of delay-Doppler domain signal processing.

    • Machine Learning for Future Fiber-Optic Communication Systems

      • 1st Edition
      • February 10, 2022
      • Alan Pak Tao Lau + 1 more
      • English
      • Paperback
        9 7 8 0 3 2 3 8 5 2 2 7 2
      • eBook
        9 7 8 0 3 2 3 8 5 2 2 8 9
      Machine Learning for Future Fiber-Optic Communication Systems provides a comprehensive and in-depth treatment of machine learning concepts and techniques applied to key areas within optical communications and networking, reflecting the state-of-the-art research and industrial practices. The book gives knowledge and insights into the role machine learning-based mechanisms will soon play in the future realization of intelligent optical network infrastructures that can manage and monitor themselves, diagnose and resolve problems, and provide intelligent and efficient services to the end users. With up-to-date coverage and extensive treatment of various important topics related to machine learning for fiber-optic communication systems, this book is an invaluable reference for photonics researchers and engineers. It is also a very suitable text for graduate students interested in ML-based signal processing and networking.

    • Production of Biodiesel from Non-Edible Sources

      • 1st Edition
      • February 10, 2022
      • A. Arumugam
      • English
      • Paperback
        9 7 8 0 1 2 8 2 4 2 9 5 7
      • eBook
        9 7 8 0 3 2 3 8 5 8 9 7 7
      Production of Biodiesel from Non-Edible Sources: Technological Updates offers a step-by-step guide to the production of biodiesel, providing comparisons of existing methods, new and state-of-the-art technologies, and real-world examples of implementation. The book discusses all potential non-edible feedstocks for biodiesel production, providing their properties, availability, and processing, including deeper insights into kinetic models and simulation of biodiesel fermentation. Readers will gain knowledge of existing parameters and methods for biodiesel production, optimization, scale-up, and sustainability, along with guidance on the practical implementation of these methods and techniques. Finally, environmental sustainability, techno-economic analysis, and policymaking aspects are considered and put into the context of future prospects. This book offers a step-by-step guide for researchers and industry practitioners involved in bioenergy, renewable energy, biofuels production and bioconversion processes.

    • Extremal Problems and Inequalities of Markov-Bernstein Type for Algebraic Polynomials

      • 1st Edition
      • February 10, 2022
      • Robert B. Gardner + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 1 9 8 8 4
      • eBook
        9 7 8 0 1 2 8 1 2 0 0 7 1
      Inequalities for polynomials and their derivatives are very important in many areas of mathematics, as well as in other computational and applied sciences; in particular they play a fundamental role in approximation theory. Here, not only Extremal Problems and Inequalities of Markov-Bernstein Type for Algebraic Polynomials, but also ones for trigonometric polynomials and related functions, are treated in an integrated and comprehensive style in different metrics, both on general classes of polynomials and on important restrictive classes of polynomials. Primarily for graduate and PhD students, this book is useful for any researchers exploring problems which require derivative estimates. It is particularly useful for those studying inverse problems in approximation theory.

    • Molecular Dynamics Simulation

      • 1st Edition
      • February 10, 2022
      • Kun Zhou + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 6 4 1 9 8
      • eBook
        9 7 8 0 1 2 8 1 6 6 1 6 1
      Molecular Dynamic Simulation: Fundamentals and Applications explains the basic principles of MD simulation and explores its recent developments and roles in advanced modeling approaches. The implementation of MD simulation and its application to various aspects of materials science and engineering including mechanical, thermal, mass transportation, and physical/chemical reaction problems are illustrated. Innovative modeling techniques that apply MD to explore the mechanics of typical nanomaterials and nanostructures and to characterize crystalline, amorphous, and liquid systems are also presented. The rich research experience of the authors in MD simulation will ensure that the readers are provided with both an in-depth understanding of MD simulation and clear technical guidance.

    • Multicore and GPU Programming

      • 2nd Edition
      • February 9, 2022
      • Gerassimos Barlas
      • English
      • Paperback
        9 7 8 0 1 2 8 1 4 1 2 0 5
      • eBook
        9 7 8 0 1 2 8 1 4 1 2 1 2
      Multicore and GPU Programming: An Integrated Approach, Second Edition offers broad coverage of key parallel computing tools, essential for multi-core CPU programming and many-core "massively parallel" computing. Using threads, OpenMP, MPI, CUDA and other state-of-the-art tools, the book teaches the design and development of software capable of taking advantage of modern computing platforms that incorporate CPUs, GPUs and other accelerators. Presenting material refined over more than two decades of teaching parallel computing, author Gerassimos Barlas minimizes the challenge of transitioning from sequential programming to mastering parallel platforms with multiple examples, extensive case studies, and full source code. By using this book, readers will better understand how to develop programs that run over distributed memory machines using MPI, create multi-threaded applications with either libraries or directives, write optimized applications that balance the workload between available computing resources, and profile and debug programs targeting parallel machines.

    • Artificial Intelligence and Data Science in Environmental Sensing

      • 1st Edition
      • February 9, 2022
      • Mohsen Asadnia + 2 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 0 5 0 8 4
      • eBook
        9 7 8 0 3 2 3 9 0 5 0 7 7
      Artificial Intelligence and Data Science in Environmental Sensing provides state-of-the-art information on the inexpensive mass-produced sensors that are used as inputs to artificial intelligence systems. The book discusses the advances of AI and Machine Learning technologies in material design for environmental areas. It is an excellent resource for researchers and professionals who work in the field of data processing, artificial intelligence sensors and environmental applications.

    • Micro and Nano Thermal Transport

      • 1st Edition
      • February 9, 2022
      • Lin Qiu + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 3 5 3 9 3
      • eBook
        9 7 8 0 1 2 8 2 3 6 2 3 9
      Micro and Nano Thermal Transport Research: Characterization, Measurement and Mechanism is a complete and reliable reference on thermal measurement methods and mechanisms of micro and nanoscale materials. The book has a strong focus on applications and simulation, providing clear guidance on how to measure thermal properties in a systematic way. Sections cover the fundamentals of thermal properties before introducing tools to help readers identify and analyze thermal characteristics of these materials. The thermal transport properties are then further explored by means of simulation which reflect the internal mechanisms used to generate such thermal properties. Readers will gain a clear understanding of thermophysical measurement methods and the representative thermal transport characteristics of micro/nanoscale materials with different structures and are guided through a decision-making process to choose the most effective method to master thermal analysis. The book is particularly suitable for those engaged in the design and development of thermal property measurement instruments, as well as researchers of thermal transport at the micro and nanoscale.

    • Applications of AI and IOT in Renewable Energy

      • 1st Edition
      • February 9, 2022
      • Rabindra Nath Shaw + 3 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 1 6 9 9 8
      • eBook
        9 7 8 0 3 2 3 9 8 4 0 1 0
      Applications of AI and IOT in Renewable Energy provides a future vision of unexplored areas and applications for Artificial Intelligence and Internet of Things in sustainable energy systems. The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles. In all these areas and more, applications of artificial intelligence methods, including artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above in hybrid systems are included. This book is designed to assist with developing low cost, smart and efficient solutions for renewable energy systems and is intended for researchers, academics and industrial communities engaged in the study and performance prediction of renewable energy systems.

    • Measuring the User Experience

      • 3rd Edition
      • February 8, 2022
      • Bill Albert + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 8 0 8 0 8
      • eBook
        9 7 8 0 1 2 8 1 8 0 8 1 5
      *Textbook and Academic Authors Association (TAA) Textbook Excellence Award Winner, 2024*Measuring the User Experience: Collecting, Analyzing, and Presenting UX Metrics, Third Edition provides the quantitative analysis training that students and professionals need. This book presents an update on the first resource that focused on how to quantify user experience. Now in its third edition, the authors have expanded on the area of behavioral and physiological metrics, splitting that chapter into sections that cover eye-tracking and measuring emotion. The book also contains new research and updated examples, several new case studies, and new examples using the most recent version of Excel.

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