This volume contains the proceedings of a conference held in Freiburg, West Germany, September 22-25, 1980, entitled "Manned Systems Design, New Methods and Equipment". The conference was sponsored by the Special Programme Panel on Human Factors of the Scientific Affairs Division of NATO, and supported by Panel VIII, AC/243, on "Human and Biomedical Sciences". Their sponsorship and support are gratefully acknowledged. The contributions in the book are grouped according to the main themes of the conference with special emphasis on analytical approaches, measurement of performance, and simulator design and evaluat ion. The design of manned systems covers many and highly diversified areas. Therefore, a conference under the general title of "Manned Systems Design" is rather ambitious in itself. However, scientists and engineers engaged in the design of manned systems very often are confronted with problems that can be solved only by having several disciplines working together. So it was felt that knowledge about newly developed methods and equipment, applicable in the design process, is of common and increasing interest for all those who are engaged in the design of manned systems, from the earliest con ceptual design phases until operation under real circumstances. This seems to be particularly true in view of restricted resources of manpower and energy.

Manned Spacecraft Design Principles presents readers with a brief, to-the-point primer that includes a detailed introduction to the information required at the preliminary design stage of a manned space transportation system. In the process of developing the preliminary design, the book covers content not often discussed in a standard aerospace curriculum, including atmospheric entry dynamics, space launch dynamics, hypersonic flow fields, hypersonic heat transfer, and skin friction, along with the economic aspects of space flight. Key concepts relating to human factors and crew support systems are also included, providing users with a comprehensive guide on how to make informed choices from an array of competing options. The text can be used in conjunction with Pasquale Sforza's, Commercial Aircraft Design Principles to form a complete course in Aircraft/Spacecraft Design. - Presents a brief, to-the-point primer that includes a detailed introduction to the information required at the preliminary design stage of a manned space transportation system - Involves the reader in the preliminary design of a modern manned spacecraft and associated launch vehicle - Includes key concepts relating to human factors and crew support systems - Contains standard, empirical, and classical methods in support of the design process - Culminates in the preparation of a professional quality design report

Summary Machine Learning Systems: Designs that scale is an example-rich guide that teaches you how to implement reactive design solutions in your machine learning systems to make them as reliable as a well-built web app. Foreword by Sean Owen, Director of Data Science, Cloudera Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology If you’re building machine learning models to be used on a small scale, you don't need this book. But if you're a developer building a production-grade ML application that needs quick response times, reliability, and good user experience, this is the book for you. It collects principles and practices of machine learning systems that are dramatically easier to run and maintain, and that are reliably better for users. About the Book Machine Learning Systems: Designs that scale teaches you to design and implement production-ready ML systems. You'll learn the principles of reactive design as you build pipelines with Spark, create highly scalable services with Akka, and use powerful machine learning libraries like MLib on massive datasets. The examples use the Scala language, but the same ideas and tools work in Java, as well. What's Inside Working with Spark, MLlib, and Akka Reactive design patterns Monitoring and maintaining a large-scale system Futures, actors, and supervision About the Reader Readers need intermediate skills in Java or Scala. No prior machine learning experience is assumed. About the Author Jeff Smith builds powerful machine learning systems. For the past decade, he has been working on building data science applications, teams, and companies as part of various teams in New York, San Francisco, and Hong Kong. He blogs (https: //medium.com/@jeffksmithjr), tweets (@jeffksmithjr), and speaks (www.jeffsmith.tech/speaking) about various aspects of building real-world machine learning systems. Table of Contents PART 1 - FUNDAMENTALS OF REACTIVE MACHINE LEARNING Learning reactive machine learning Using reactive tools PART 2 - BUILDING A REACTIVE MACHINE LEARNING SYSTEM Collecting data Generating features Learning models Evaluating models Publishing models Responding PART 3 - OPERATING A MACHINE LEARNING SYSTEM Delivering Evolving intelligence

This book offers essential information on China’s human spacecraft technologies, reviewing their evolution from theoretical and engineering perspectives. It discusses topics such as the design of manned spaceships, cargo spacecraft, space laboratories, space stations and manned lunar and Mars detection spacecraft. It also addresses various key technologies, e.g. for manned rendezvous, docking and reentry. The book is chiefly intended for researchers, graduate students and professionals in the fields of aerospace engineering, control, electronics & electrical engineering, and related areas.

Summary Secure by Design teaches developers how to use design to drive security in software development. This book is full of patterns, best practices, and mindsets that you can directly apply to your real world development. You'll also learn to spot weaknesses in legacy code and how to address them. About the technology Security should be the natural outcome of your development process. As applications increase in complexity, it becomes more important to bake security-mindedness into every step. The secure-by-design approach teaches best practices to implement essential software features using design as the primary driver for security. About the book Secure by Design teaches you principles and best practices for writing highly secure software. At the code level, you’ll discover security-promoting constructs like safe error handling, secure validation, and domain primitives. You’ll also master security-centric techniques you can apply throughout your build-test-deploy pipeline, including the unique concerns of modern microservices and cloud-native designs. What's inside Secure-by-design concepts Spotting hidden security problems Secure code constructs Assessing security by identifying common design flaws Securing legacy and microservices architectures About the reader Readers should have some experience in designing applications in Java, C#, .NET, or a similar language. About the author Dan Bergh Johnsson, Daniel Deogun, and Daniel Sawano are acclaimed speakers who often present at international conferences on topics of high-quality development, as well as security and design.