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Solar Energy Engineering

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Solar Energy Engineering

© 2023
Solar Energy Engineering – Processes and Systems

3rd Edition – December 1, 2023

Author: Soteris A Kalogirou

Hardback ISBN: eBook ISBN:

 

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Solar Energy Engineering: Processes and Systems, Third Edition, includes updated chapters and extended resources to assist in the research and teaching of solar energy engineering. Sections cover advances in solar collectors, solar water heating, solar space heating and cooling, industrial process heat, solar desalination, photovoltaic technology, solar thermal power systems, modeling of solar energy systems, and a new chapter on wind energy systems. This book provides students, teachers and professionals with the basic principles and applications of solar energy systems and processes to help them understand how to operate and design solar systems.

In addition, this best-selling title includes a student and academic companion site with additional materials on chapter PowerPoints for teaching, problems with a solutions manual, and equations files to assist in problem-solving.

Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm

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Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm

© 2020
Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm – Trends, Advances, and Future Prospects

by Pawel Sniatala , M. Hadi Amini , Kianoosh G. Boroojeni

pp 202. Published by Springer, 2020

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  • Provides a comprehensive investigation of Brooks-Iyengar Algorithm and the recently developed methods based on this algorithm
  • Specifies the importance and position of theoretical methods in dealing with real-world problems in the context of distributed sensing
  • Presents basics and mathematical foundations needed to analyze Brooks-Iyengar Algorithm

Evolution of Smart Sensing Ecosystems with Tamper Evident Security

Sara Oliveira Members books
Evolution of Smart Sensing Ecosystems with Tamper Evident Security

© 2021
Evolution of Smart Sensing Ecosystems with Tamper Evident Security

by Pawel Sniatala , S.S. Iyengar , Sanjeev Kaushik Ramani

pp 210 Published by Springer Nature, ISBN: 978-3-030-89746-8, 2022

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  • – Provides a fundamental view of the evolution of quantum computing and how various quantum mechanics are used in different security and Internet applications
  • – Highlights the need for a paradigm shift in tackling quantum techniques and proposes a novel quantum computer science system to address it
  • – Covers the various quantum techniques starting from the basic and traditional approaches to modern approaches involving the use of artificial intelligence and machine learning

Mathematical Theories of Machine Learning – Theory and Applications

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<a rel="noreferrer noopener" href="https://www.dropbox.com/s/kb60kq8x8tcln7n/Final%20Version%20Machine%20Learning%20Book%20Jan%2024%202019.pdf?dl=0" target="_blank">Mathematical Theories of Machine Learning – Theory and Applications</a>

© 2020
Mathematical Theories of Machine Learning – Theory and Applications

by Sitharama S. Iyengar; Bin Shi. 

Springer Nature, pp 104, Published by Springer, June 2019

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  • – Provides a thorough look into the variety of mathematical theories of machine learning
  • – Presented in four parts, allowing for readers to easily navigate the complex theories
  • – Includes extensive empirical studies on both the synthetic and real application time series data

Quantum Computing Environments

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Quantum Computing Environments

© 2022
Quantum Computing Environments

by Sitharama S. Iyengar; Mario Mastriani, and KJ Latesh Kumar. (Editors)

pp 210 Published by Springer Nature, ISBN: 978-3-030-89746-8, 2022

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  • – Provides a fundamental view of the evolution of quantum computing and how various quantum mechanics are used in different security and Internet applications
  • – Highlights the need for a paradigm shift in tackling quantum techniques and proposes a novel quantum computer science system to address it
  • – Covers the various quantum techniques starting from the basic and traditional approaches to modern approaches involving the use of artificial intelligence and machine learning

Philosophies of Structural Safety and Reliability

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Philosophies of Structural Safety and Reliability

© 2022
Philosophies os Structural Safety and Reliability

by Issac Elishakoff
Book Description

Uncertainty is certain to be found in structural engineering, making it crucial to structure design. This book covers three competing philosophies behind structural safety and reliability: probabilistic analysis, fuzzy set-based treatments, and the convex approach.

Explaining the theory behind probabilistic analysis, fuzzy set-based treatments, and the convex approach in detail, alongside their implementation, use, and benefits, the book compares and contrasts these methods, enabling the reader to solve problems associated with uncertainty. These uncertainty issues can be seen in civil engineering structures, risk of earthquakes, impact of rough seas on ships, and turbulence affecting aerospace vehicles. Building on the authors’ many years of experience in the field, Philosophies of Structural Safety and Reliability is an essential guide to structural uncertainty. Topics covered in the book include properties of materials and their structural deterioration, safety factor and reliability, risk evaluation and loads, and their combinations.

This book will be of interest to students and professionals in the fields of aerospace, civil, mechanical, marine, and ocean engineering.

For more information: https://www.routledge.com/Philosophies-of-Structural-Safety-and-Reliability/Raizer-Elishakoff/p/book/9781032209302

Regular Non-Additive Multimeasures. Fundaments and Applications

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<strong>Regular Non-Additive Multimeasures. Fundaments and Applications</strong>

© 2022
Regular Non-Additive Multimeasures. Fundaments and Applications

by Endre Pap

      • Includes an exhaustive study on regularity and other continuity properties for different types of multimeasures

      • Provides not only mathematical applications but also some possible physical implications

    Studies in Computational Intelligence 

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    <strong>Studies in Computational Intelligence</strong> 

    © 2022
    Studies in Computational Intelligence 
    by Emmanuel E Gdoutos

    The series “Studies in Computational Intelligence” (SCI) publishes new developments and advances in the various areas of computational intelligence—quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output.

    Indexed by SCOPUS, DBLP, WTI Frankfurt eG, zbMATH, SCImago.

    All books published in the series are submitted for consideration in Web of Science.

    Electronic ISSN 1860-950

     

     

    • Presents recent research on the theory and applications of Artificial Intelligence
    • Includes chapters on the mathematics of AI, Fuzzy Logic, Soft Computing, and Neural networks in the theory part
    • Provides applications that include chapters about agents for learning foreign languages, artificially generated stereo images, program-based robotics using Prolog, an algorithm for solving job scheduling problems in hotels and restaurants, intelligent technologies for mental well-being, and more
    • Written by experts in the field.  2021

    Experimental Mechanics – An Introduction

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    Book_Experimental Mechaniscs - An introdution

    © 2022
    Experimental Mechanics – An Introduction
    by Emmanuel E Gdoutos

    The purpose of this book is to present in a clear, simple, straightforward, novel and unified manner the most used methods of experimental mechanics of solids for the determination of displacements, strains and stresses. Emphasis is given on the principles of operation of the various methods, not in their applications to engineering problems. For more information on the methods presented in the book there is an extensive bibliography at the end of each chapter. The book is divided into sixteen chapters.
    Today’s experimentalist armed with a strong background in numerical methods and computer techniques and deep understanding of the basic experimental methods should have the tools necessary to solve problems of structural behaviour and material characterization at the nano-, micro- and macro-scale levels. Needless to say, that the most valuable virtues of an experimentalists are not his/her technical skills, but honesty and integrity. Experimental results should be presented as obtained from the tests, unbiased of any relations with analytical solutions, in case they exist. This most valuable virtue should be cultivated in classrooms and laboratories.
    The book provides the basics of the most used methods of experimental mechanics for measuring displacements, strains and stresses. It is hoped that it will be used not only as a learning tool, but as a basis on which the researcher, the engineer, the experimentalist, the student can develop their new own ideas to promote research in experimental mechanics of solids.