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Discover the principles of wireless power transfer for unmanned aerial vehicles, from theoretical modelling to practical applications. This essential guide provides a complete technical perspective and hands-on experience. It combines in-depth theoretical models, such as T-models and M-models, with practical system design, including wireless charging system construction. It presents systematic solutions to real-world challenges in UAV wireless charging, such as mutual inductance disturbances and lightweight units. Providing the resources to tackle complex industry problems this book covers the latest technological insights including advanced control methods, such as PT-symmetric WPT system control schemes and charging range extension techniques. Ideal for professional engineers, designers, and researchers, it provides the tools needed to innovate in UAV technology and power systems. Whether you're developing new systems or optimizing existing ones, this comprehensive resource delivers the insights and techniques to drive progress in wireless power transfer for unmanned aircraft.
Dedicated to a new class of wideband antenna, significantly developed over the past two decades, this book is the ultimate reference on magnetoelectric dipole antennas. The author is world-renowned for his pioneering work on antennas and has continuously developed the magnetoelectric dipole antenna since 2006. With contributions from the author and his students as well as results from research groups worldwide, the development of this novel antenna is fully captured. The theory and design are presented step-by-step, using simple technical explanations, making the contents accessible to readers without specialized training in antenna designs. Including the various applications of the antenna such as communications, global positioning, sensing, radar, medical imaging and IoT, this book endeavours to demonstrate the versatility and interdisciplinary of the antennas. Helping readers to develop sophisticated antennas with this thorough coverage on magnetoelectric dipole antennas, this is the ideal reference for graduate students, researchers, and electrical engineers.
Applications of cryptography are plenty in everyday life. This guidebook is about the security analysis or 'cryptanalysis' of the basic building blocks on which these applications rely. Rather than covering a variety of techniques at an introductory level, this book provides a comprehensive and in-depth treatment of linear cryptanalysis. The subject is introduced from a mathematical point of view, providing an overview of the most influential papers on linear cryptanalysis and placing them in a consistent framework based on linear algebra. A large number of examples and exercises are included, drawing upon practice as well as theory. The book is accessible to students with no prior knowledge of cryptography. It covers linear cryptanalysis starting from the basics, including linear approximations and trails, correlation matrices, automatic search, key-recovery techniques, up to advanced topics, such as multiple and multidimensional linear cryptanalysis, zero-correlation approximations, and the geometric approach.
Embed climate-focused energy awareness in every step of your educational program with this unique guide to specifying, designing, implementing and evaluating educational energy initiatives. Discover how to design programs for different learner groups, and keep learners engaged; develop energy-focused project-based hands-on experiential teaching approaches; champion professional development; embed systems, modelling, and computational analysis within curricula; and address issues in justice and equity. This uniquely interdisciplinary approach spans engineering, the physical sciences, and the social sciences, supporting instructors in delivering programs that feed global demand for energy-related climate education, while highlighting ways to avoid the pitfalls of engineering-only energy programs. Ideal for academics involved in teaching and developing undergraduate and graduate courses in energy, academic educational program managers, and professionals in energy-related early career onboarding, this is your key to unlock an empowered energy transition workforce.
Unlock the potential of computational fluid dynamics with this essential guide for master's and graduate students, and researchers. It explores the immersed boundary method (IBM), a revolutionary approach for simulating flows in complex geometries. With a focus on fluid/structure interaction, it examines theoretical principles and practical implementations, offering insights into tackling intricate geometries and enhancing simulation accuracy. The book features a series of numerical examples that increase in complexity, and is accompanied by the source code, allowing readers to replicate results and deepen their understanding. Whether you're wanting to refine your skills or embark on new research, this introduction will empower you to master the art of complex flow simulations.
Emphasizing how and why machine learning algorithms work, this introductory textbook bridges the gap between the theoretical foundations of machine learning and its practical algorithmic and code-level implementation. Over 85 thorough worked examples, in both Matlab and Python, demonstrate how algorithms are implemented and applied whilst illustrating the end result. Over 75 end-of-chapter problems empower students to develop their own code to implement these algorithms, equipping them with hands-on experience. Matlab coding examples demonstrate how a mathematical idea is converted from equations to code, and provide a jumping off point for students, supported by in-depth coverage of essential mathematics including multivariable calculus, linear algebra, probability and statistics, numerical methods, and optimization. Accompanied online by instructor lecture slides, downloadable Python code and additional appendices, this is an excellent introduction to machine learning for senior undergraduate and graduate students in Engineering and Computer Science.
Build a firm foundation for studying statistical modelling, data science, and machine learning with this practical introduction to statistics, written with chemical engineers in mind. It introduces a data–model–decision approach to applying statistical methods to real-world chemical engineering challenges, establishes links between statistics, probability, linear algebra, calculus, and optimization, and covers classical and modern topics such as uncertainty quantification, risk modelling, and decision-making under uncertainty. Over 100 worked examples using Matlab and Python demonstrate how to apply theory to practice, with over 70 end-of-chapter problems to reinforce student learning, and key topics are introduced using a modular structure, which supports learning at a range of paces and levels. Requiring only a basic understanding of calculus and linear algebra, this textbook is the ideal introduction for undergraduate students in chemical engineering, and a valuable preparatory text for advanced courses in data science and machine learning with chemical engineering applications.
Fluid mechanics, solid-state diffusion and heat conduction are deeply interconnected through the mathematics and physical principles that define them. This concise and authoritative book reveals these connections, providing a detailed picture of their important applications in astrophysics, plasmas, energy systems, aeronautics, chemical engineering and materials science. This sophisticated and focused text offers an alternative to more expansive volumes on heat, mass and momentum transfer and is ideal for students and researchers working on fluid dynamics, mass transfer or phase transformations and industrial scientists seeking a rigourous understanding of chemical or materials processes. Accessible yet in-depth, this modern treatment distils the essential theory and application of these closely related topics, includes numerous real-world applications and can be used for teaching a range of related courses in physics, engineering and materials science departments.
While an understanding of electronic principles is vitally important for scientists and engineers working across many disciplines, the breadth of the subject can make it daunting. This textbook offers a concise and practical introduction to electronics, suitable for a one-semester undergraduate course as well as self-guided students. Beginning with the basics of general circuit laws and resistor circuits to ease students into the subject, the textbook then covers a wide range of topics, from passive circuits to semiconductor-based analog circuits and basic digital circuits. Exercises are provided at the end of each chapter, and answers to select questions are included at the end of the book. The complete solutions manual is available for instructors to download, together with eight laboratory exercises that parallel the text. Now in its second edition, the text has been updated and expanded with additional topic coverage and exercises.
This textbook chart out an easy-to-comprehend account of the methods of random vibrations, aided by modern yet basic concepts in probability theory and random processes. It starts with a quick review of certain elements of structural dynamics, thus setting the stage for their seamless continuation in developing techniques for response analyses of structures under random environmental loads, such as winds and earthquakes. The book also offers a few glimpses of the powerful tools of stochastic processes to kindle the spirit of scientific inquiry. By way of applications, it contains numerous illustrative examples and exercises, many of which relate to practical design problems of interest to the industry. A companion website provides solutions to all the problems in the exercises. For the benefit of the prospective instructors, a semester-long schedule for offering a course on Random Vibrations is also suggested.
The textbook is primarily written for senior undergraduate and post graduate students studying in areas of computer science and engineering, and electrical engineering. However, as the subject covers various interdisciplinary areas, the book is also expected to be of interest to a larger readership in Science and Engineering. It has a comprehensive and balanced coverage of theory and applications of computer vision with a textbook approach providing worked out examples, and exercises. It covers theory and applications of some relatively recent advancements in technology such as on colour processing, deep learning techniques for processing images and videos, document processing, biometry, content based image retrieval, etc. It also delves with theories and processing in non-optical imaging systems, such as range or depth imaging, medical imaging and remote sensing imaging.
This book is an effort to fill the gap of a comprehensive textbook that covers topics related to green energy sources. It connects climate change, sustainable development goals, and green electricity as a simple text for students, faculty, and practising engineers. It explains the green energy technology as a key part of the overall electricity network and brings practical system insights. The author's unique experience as an academic, researcher, and policy maker, combined with first-hand experience in the field, makes the book rich in practical insights, case studies and real-world applications. It also presents a clear roadmap for any organization to implement green energy setup, implement energy efficiency and conservation measures and hence reduce carbon footprints. A detailed coverage on policies, regulation, major projects etc. in the country is one of the key strengths of the book.
Written by experts in the field, this text provides a modern introduction to three-dimensional dynamics for multibody systems. It covers rotation matrices, the twist-wrench formalism for multibody dynamics and Lagrangian dynamics, an approach that is often overlooked at the undergraduate level. The only prerequisites are differential equations and linear algebra as covered in a first-year engineering mathematics course. The text focuses on obtaining and understanding the equations of motion, featuring a rich set of examples and exercises that are drawn from real-world scenarios. Readers develop a reliable physical intuition that can then be used to apply dynamic analysis software tools, and to develop simplified approximate models. With this foundation, they will be able to confidently use the equations of motion in a variety of applications, ranging from simulation and design to motion planning and control.
Research in optics and photonics, in parallel with the rapid development of nanoscience, has driven advancements within many fields of contemporary science and technology, allowing nano-optics to flourish as a research field. This authoritative text provides a comprehensive and accessible account of this important topic, beginning with the theoretical foundations of light localization and the propagation and focusing of optical fields, before progressing to more advanced topics such as near-field optics, surface plasmons in noble metals, metamaterials, and quantum emitters. Now in its third edition, the book has been substantially restructured, expanded, and developed to include additional problem sets and important topics such as super-resolution microscopy, random media, and coupled-mode theory. It remains an essential resource for graduate students and researchers working in photonics, optoelectronics, and nano-optics.