Explores the world of aerospace engineering. The history of aerial navigation is covered, noting key milestones in flight and outer space exploration. Also covered are the crucial technologies humanity has gotten out of aerospace engineering, such as weather satellites and GPS navigation.
Planes, trains, and automobiles-these are just some of the many achievements of mechanical engineering. This volume will show readers that they do not have to know complex equations to appreciate the impact the field has had on the world. Accessible text introduces young readers to the machines and engines that power the devices, vehicles, and appliances they encounter on a daily basis. Boxes explain important terms and concepts of mechanics and encourage readers to think critically. The book ends with a guided activity that invites readers to don the hat of a mechanical engineer and build their own windmill.
In this instructive and accessible volume, readers discern how engineers safeguard the environment with their practices. They learn how green engineers cut down on waste and the use of natural resources by inventing new materials and techniques. This resource covers recycling, reuse, and renewable energy sources and explains global warming and greenhouse gases and their effects on Earth's environment. Readers recognize engineers' solutions to some of today's environmental problems, including air and water pollution, and urban planning challenges. There is also a hands-on "engineering in action" activity for readers to learn how to clean up an oil spill.
This introduction to the field of electrical engineering includes an explanation of electricity and currents, as well as chapters devoted to specific areas. An activity that demonstrates how circuits work helps young readers get a hands-on chance to learn about electrical engineering.
The traditional computer science courses for engineering focus on the fundamentals of programming without demonstrating the wide array of practical applications for fields outside of computer science. Thus, the mindset of “Java/Python is for computer science people or programmers, and MATLAB is for engineering” develops. MATLAB tends to dominate the engineering space because it is viewed as a batteries-included software kit that is focused on functional programming. Everything in MATLAB is some sort of array, and it lends itself to engineering integration with its toolkits like Simulink and other add-ins. The downside of MATLAB is that it is proprietary software, the license is expensive to purchase, and it is more limited than Python for doing tasks besides calculating or data capturing. This book is about the Python programming language. Specifically, it is about Python in the context of mechanical and aerospace engineering. Did you know that Python can be used to model a satellite orbiting the Earth? You can find the completed programs and a very helpful 595 page NSA Python tutorial at the book’s GitHub page at https://www.github.com/alexkenan/pymae. Read more about the book, including a sample part of Chapter 5, at https://pymae.github.io
Propelling Understanding: Your Launchpad to Aerospace Engineering Excellence The realm of aerospace engineering is a confluence of science, ambition, and human endeavor, encapsulating the relentless pursuit of pushing boundaries and transcending terrestrial limitations. It is a domain that continually stretches the fabric of what is possible, melding imagination with the rigors of engineering precision. The Dictionary of Aerospace Engineering, with its extensive compilation of 6,000 meticulously curated titles, serves as a cornerstone for those engaged in this dynamic field, offering a wellspring of knowledge and a pathway to mastery. Embarking on the pages of this dictionary is akin to launching into a voyage through the core principles, advanced methodologies, and the ever-evolving technologies that are the hallmarks of aerospace engineering. Each entry is a beacon, illuminating complex terminologies and nuanced concepts, aiding both the seasoned engineer and the aspiring practitioner in navigating the vast expanse of aerospace engineering knowledge. The Dictionary of Aerospace Engineering is not merely a repository of terms but an edifice of understanding. It is a conduit through which the intricate and the arcane become accessible, where challenging concepts are decoded into comprehensible insights. This dictionary is an endeavor to foster a shared lexicon, to enhance communication, collaboration, and innovation across the aerospace engineering community. This comprehensive reference material transcends being a passive dictionary; it is a dynamic engagement with the multifaceted domain of aerospace engineering. Each term, each title is a testament to the relentless spirit of inquiry and the unyielding drive for innovation that characterizes the aerospace engineering sector. The Dictionary of Aerospace Engineering is an invitation to delve deeper, to engage with the lexicon of flight and space, and to emerge with a richer understanding and a sharpened expertise. It’s a portal through which the uninitiated become adept, the curious become enlightened, and the proficient become masters. Every term, every phrase is a step closer to unraveling the mysteries and embracing the challenges that propel the aerospace engineering domain forward. As you traverse through the entries of The Dictionary of Aerospace Engineering, you are embarking on a journey of discovery. A journey that will not only augment your understanding but will also ignite the spark of curiosity and the drive for innovation that are the hallmarks of excellence in aerospace engineering. We beckon you to commence this educational expedition, to explore the breadth and depth of aerospace engineering lexicon, and to emerge with a boundless understanding and an unyielding resolve to contribute to the ever-evolving narrative of aerospace engineering. Through The Dictionary of Aerospace Engineering, may your quest for knowledge soar to new heights and may your contributions to the aerospace engineering domain echo through the annals of human achievement.
The increasingly active eld of Evolutionary Computation (EC) provides val- ble tools, inspired by the theory of natural selection and genetic inheritance, to problem solving, machine learning, and optimization in many real-world app- cations. Despite some early intuitions about EC, that can be dated back to the - vention of computers, and a better formal de nition of EC, made in the 1960s, the quest for real-world applications of EC only began in the late 1980s. The dramatic increase in computer performances in the last decade of the 20th c- tury gave rise to a positive feedback process: EC techniques became more and more applicable, stimulating the growth of interest in their study, and allowing, in turn, new powerful EC paradigms to be devised. In parallel with new theoretical results, the number of elds to which EC is being applied is increasing day by day, along with the complexity of applications and application domains. In particular, industrially relevant elds, such as signal and image processing, computer vision, pattern recognition, industrial control, telecommunication, scheduling and timetabling, and aerospace engineering are employing EC techniques to solve complex real-world problems.
In an expanding world with limited resources, optimization and uncertainty quantification have become a necessity when handling complex systems and processes. This book provides the foundational material necessary for those who wish to embark on advanced research at the limits of computability, collecting together lecture material from leading experts across the topics of optimization, uncertainty quantification and aerospace engineering. The aerospace sector in particular has stringent performance requirements on highly complex systems, for which solutions are expected to be optimal and reliable at the same time. The text covers a wide range of techniques and methods, from polynomial chaos expansions for uncertainty quantification to Bayesian and Imprecise Probability theories, and from Markov chains to surrogate models based on Gaussian processes. The book will serve as a valuable tool for practitioners, researchers and PhD students.
The problems we face in the 21st century require innovative thinking from all of us. Be it students, academics, business researchers of government policy makers. Hopes for improving our healthcare, food supply, community safety and environmental sustainability depend on the pervasive application of research solutions. The research heroes who take on the immense problems of our time face bigger than ever challenges, but if they adopt potent guiding principles and effective research lifecycle strategies, they can produce the advances that will enhance the lives of many people. These inspirational research leaders will break free from traditional thinking, disciplinary boundaries, and narrow aspirations. They will be bold innovators and engaged collaborators, who are ready to lead, yet open to new ideas, self-confident, yet empathetic to others. In this book, Ben Shneiderman recognizes the unbounded nature of human creativity, the multiplicative power of teamwork, and the catalytic effects of innovation. He reports on the growing number of initiatives to promote more integrated approaches to research so as to promote the expansion of these efforts. It is meant as a guide to students and junior researchers, as well as a manifesto for senior researchers and policy makers, challenging widely-held beliefs about how applied innovations evolve and how basic breakthroughs are made, and helping to plot the course towards tomorrow's great advancements.
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