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Gülen S: Applied Second Law Analysis of
Heat Engine Cycles

Applied Second Law Analysis of Heat Engine Cycles

In this volume various aspects of non-Archimedean quantum systems are discussed, such as spectral properties of their Schrödinger operators, and their ability to be approximated by finite systems. Non-Archimedean stochastic methods are also discussed.

Quantum Systems And Finite Approximations: Archimedean And Non-archimedean

Advances in Intelligent Energy Systems

Artificial Intelligence for Energy Efficiency

This book presents a comprehensive treatment of pricing and hedging soccer betting contracts using the modern techniques of probability, statistics, finance, and portfolio management. It introduces betting in general and then addresses the probabilistic intuition needed in the more complex world of soccer betting. The author presents an innovative perspective by thinking about betting odds in terms of the expected number of goals of both teams. In addition, when the betting market is in play, the book treats betting before the game and during the game separately.

This book presents a comprehensive treatment of pricing and hedging soccer betting contracts using the modern techniques of probability, statistics, finance, and portfolio management. It introduces betting in general and then addresses the probabilistic intuition needed in the more complex world of soccer betting. The author presents an innovative perspective by thinking about betting odds in terms of the expected number of goals of both teams. In addition, when the betting market is in play, the book treats betting before the game and during the game separately.

Science of Soccer Statistics

Soccermetrics

This unique compendium consists of two parts - electric circuit and fundamentals of transmission theory. The first part contains all the necessary materials to understand electric circuit and emphasizes on numerical method and calculation using Python program. The crucial second part starts with Maxwell equations to treat the electromagnetic phenomena of conducting materials and derives the Heaviside equation for transmission theory in distributed-parameter circuit. Boundary condition of the lumped and distributed circuits are introduced. The boundary condition enables readers to understand the source of electric noise from circuit.This useful reference text will benefit researchers, professionals, engineers, advanced undergraduate and graduate students in the field of circuits &amp; systems.

Fundamentals Of Electric Circuits And Transmission Lines

With the rapid recent advances in the field of railway systems and infrastructure construction, and the evolution of AI tools that have enormous potential for application to railway design, maintenance and operations, industry professionals and researchers need an up-to-date resource on these developments. Artificial Intelligence Methods in Railway Infrastructure Systems: Application of Data Centric Engineering addresses this need. The book encapsulates the latest breakthroughs and contributions in these pivotal areas, providing readers with comprehensive insights into the cutting-edge methodologies and approaches shaping the field of railway infrastructure management. For engineers and researchers, the book provides a focused explanation of AI methodologies such as machine learning, computer vision and predictive analytics and their implementation to railway infrastructure development, tools that are new to this field. It combines theory with practical examples of the application of data centric engineering in structural health monitoring of monitoring of railway systems, thus enabling early anomaly detection and empowering infrastructure managers to address potential issues before they escalate. Given the expansive scope of research driving technological advancements in railway infrastructure management, this book serves as a reference for readers seeking to explore novel AI-based methodologies and harness their potential in the field. Readers will benefit from insights into how AI innovations can streamline their operations and enhance network safety across multiple dimensions. By providing a comprehensive overview of the subject matter, this book guides anticipatory strategies and shape future trends in railway infrastructure management.

Application of Data Centric Engineering

Artificial Intelligence Methods in Railway Infrastructure Systems

Small wind turbines focuses on small scale on-shore wind turbines (SWT) bringing together the most recent accumulated research and developments. Covering the technology, design, planning (including radar problems), grid connection, maintenance and condition monitoring of SWT to give a thorough picture of the sector. The book also covers the economics and future applications of wind energy in a smart energy market.

Small wind turbines focuses on small scale on-shore wind turbines (SWT) bringing together the most recent accumulated research and developments. Covering the technology, design, planning (including radar problems), grid connection, maintenance and condition monitoring of SWT to give a thorough picture of the sector. The book also covers the economics and future applications of wind energy in a smart energy market.

Technology and Application

Small Wind Turbines

Strategic guide for implementing and developing digital twin products, with real-world case studies from different industries Infrastructure Digital Twins is an instructive and practical guide that offers tools on incorporating digital twins into existing processes, illustrated by real-world case studies across diverse sectors. Emphasizing the intersections of digital twin technology, sustainability, and cutting-edge software inventions, this book uncovers the potential to accelerate the global journey toward carbon neutrality and the United Nations Sustainable Development Goals. Written by a an esteemed author, Infrastructure Digital Twins approaches the topic by discussing: <ul> <li>Ground-breaking applications of digital twin technology demonstrated through real-world examples in transportation, construction, aviation, manufacturing, and healthcare sectors, bringing to light the transformative potential of emerging tech in these industries. </li> <li>Advantages offered by the confluence of digital twin technology and modern software engineering tools, including generative Artificial Intelligence (AI), enhanced interoperability and sophisticated relationship mapping between static and dynamic entities. </li> <li>Advanced semantics to leverage AI and data analytics, thus enabling accurate predictions of future scenarios, illuminating the path towards smarter, sustainable cities and infrastructure.</li> <li>Current challenges and future solutions for digital twin adoption in sustainable asset maintenance and management, focusing on innovative strategies to seamlessly develop digital twin products </li></ul>Diving into a subject of growing significance across industries, Infrastructure Digital Twins serves as an essential guide for practicing professionals and executive engineering leaders. It is also applicable for technologists and entrepreneurs, as well as it can serve as a textbook for graduate-level courses focusing on digital twin applications, machine learning, and the emerging landscape of tech innovation in infrastructure sustainability.

Applications in Engineering, Aviation, and Facilities Management

Infrastructure Digital Twins

Urban and Industrial Environments

Nature, Trade, and Power in the Race for Lithium

Living Minerals

Chapman and Hall/CRC Financial Mathematics Series

Handbook of Sustainable Mathematical Finance

Wind Energy Engineering

Artificial Intelligence of Things for Wind Energy Systems covers the novel concept of Artificial Intelligence (AI) combined with Internet of Things (IoT), for efficient data acquisition, analytics, and automated control, in wind energy systems. The book begins by introducing Artificial Intelligence of Things (AIoT), technologies, challenges, and future directions. Subsequent chapters provide in-depth coverage of specific technical areas and their applications in wind forecasting, generation, energy management, anomaly detection, digital twins, inspection of generators, recommendation systems, security concerns, and microgrid monitoring and control. Throughout the book, the information presented is supported by visuals, case studies, simulations, and code. A Volume in the Elsevier Wind Energy Engineering Series, this is a valuable resource for researchers, graduate students, engineers, operators, and other industry personnel with an interest in the use of AI and IoT in wind energy production and integration.

Artificial Intelligence of Things for Wind Energy Systems

Flexible DC Traction Power Supply Systems in Urban Rail Transit: Design, Operation and Control is an essential guide on the cutting-edge of the field that clarifies the current standard for power converters, traction control, and energy systems for rail transport before introducing basic concepts, configurations, and opportunities for flexible DC traction power supply systems. Other sections provide a detailed guide to operating principles and core functions in comparison to traditional diode rectifier-based traction power supply systems. This is a critical resource for energy and electrical engineers, researchers, and students developing the sustainable infrastructure of the future. Key techniques are analyzed with attentive reference to rail application context and appropriate case studies. The book closes with two full chapters of novel case studies from China that support practical application and further development by readers. Working from foundational principles to real-world applications.

Design, Operation and Control

Flexible DC Traction Power Supply System in Urban Rail Transit

This book is the first one that shows how to accurately and efficiently solve time-varying problems in real-time or online using continuous- or discrete-time zeroing dynamics. The authors provide a comprehensive treatment of the theory of both static and dynamic neural networks. They develop, analyze, model, simulate, and compare zeroing dynamics models for the online solution of numerous time-varying problems, such as root finding, nonlinear equation solving, matrix inversion, matrix square root finding, quadratic optimization, and inequality solving.

Neural networks and neural dynamics are powerful approaches for the online solution of mathematical problems arising in many areas of science, engineering, and business. Compared with conventional gradient neural networks that only deal with static problems of constant coefficient matrices and vectors, the authors’ new method called zeroing dynamics solves time-varying problems. Zeroing Dynamics, Gradient Dynamics, and Newton Iterations is the first book that shows how to accurately and efficiently solve time-varying problems in real-time or online using continuous- or discrete-time zeroing dynamics. The book brings together research in the developing fields of neural networks, neural dynamics, computer mathematics, numerical algorithms, time-varying computation and optimization, simulation and modeling, analog and digital hardware, and fractals.The authors provide a comprehensive treatment of the theory of both static and dynamic neural networks. Readers will discover how novel theoretical results have been successfully applied to many practical problems. The authors develop, analyze, model, simulate, and compare zeroing dynamics models for the online solution of numerous time-varying problems, such as root finding, nonlinear equation solving, matrix inversion, matrix square root finding, quadratic optimization, and inequality solving.

Zeroing Dynamics, Gradient Dynamics, and Newton Iterations

Applied Second Law Analysis of Heat Engine Cycles

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