A detailed, pictorial history of the 1 1/2-ton Chevy truck and its use by the U.S. Army during World War II. From 1940 to 1945, large numbers of trucks of all categories were delivered to the U.S. Army by the Chevrolet Motor Division of General Motors. Over 160,000 of these trucks were G-506 light four-wheel-drive trucks—which became the standard 1 1/2-ton, 4x4 truck for both the U.S. Army and Army Air Corps during the war. In addition, many more thousands were delivered to Allied forces as part of the Lend-Lease program, including nearly 50,000 delivered to the Soviet Union. Tough, well-built, and more agile than the deuce and a half, the Chevy 11⁄2 ton played a part in every theater of operations during the war. Its durability and mechanical reliability made it ideal for a wide range of missions. Not for nothing did Chevy advertise the trucks during the war as “Vehicles of Victory.” More than 75 years after it was designed, the small Chevrolet truck is still a favorite with collectors. This fully illustrated book details the different series of trucks and their many uses within the U.S. Army including cargo trucks, panel delivery trucks for the Signal Corps, dump trucks for engineers, telephone trucks, tractors, and bomb service trucks for the air force. It also covers their part in the Lend-Lease program, and their continued use after the war.

The powertrain is at the heart of vehicle design; the engine – whether it is a conventional, hybrid or electric design – provides the motive power, which is then managed and controlled through the transmission and final drive components. The overall powertrain system therefore defines the dynamic performance and character of the vehicle. The design of the powertrain has conventionally been tackled by analyzing each of the subsystems individually and the individual components, for example, engine, transmission and driveline have received considerable attention in textbooks over the past decades. The key theme of this book is to take a systems approach – to look at the integration of the components so that the whole powertrain system meets the demands of overall energy efficiency and good drivability. Vehicle Powertrain Systems provides a thorough description and analysis of all the powertrain components and then treats them together so that the overall performance of the vehicle can be understood and calculated. The text is well supported by practical problems and worked examples. Extensive use is made of the MATLAB(R) software and many example programmes for vehicle calculations are provided in the text. Key features: Structured approach to explaining the fundamentals of powertrain engineering Integration of powertrain components into overall vehicle design Emphasis on practical vehicle design issues Extensive use of practical problems and worked examples Provision of MATLAB(R) programmes for the reader to use in vehicle performance calculations This comprehensive and integrated analysis of vehicle powertrain engineering provides an invaluable resource for undergraduate and postgraduate automotive engineering students and is a useful reference for practicing engineers in the vehicle industry

A timeless classic vehicle history book, over 2100+ photos of US military vehicles from 1900 to 1983. Covers everything from bicycles, jeeps, 4X4's, 6X6's, 8X8's, 1/4 ton's to 50 ton trucks. A must for military vehicle enthusiasts and collectors.

This account of the Khobar Towers bombing tells the story of the horrific attack and the magnificent response of airmen doing their duty under nearly impossible circumstances. None of them view their actions as heroic, yet the reader will marvel at their calm professionalism. All of them say it was just their job, but the reader will wonder how they could be so well trained to act almost instinctively to do the right thing at the right time. None of them would see their actions as selfless, yet countless numbers refused medical attention until the more seriously injured got treatment. Throughout this book, the themes of duty, commitment, and devotion to comrades resoundingly underscore the notion that America's brightest, bravest, and best wear her uniforms in service to the nation. This book is more than heroic actions, though, for there is also controversy. Were commanders responsible for not adequately protecting their people? What should one make of the several conflicting investigations following the attack? Dr. Jamieson has not shied away from these difficult questions, and others, but has discussed them and other controversial judgments in a straightforward and dispassionate way that will bring them into focus for everyone. It is clear from this book that there is a larger issue than just the response to the bombing. It is the issue of the example set by America's airmen. Future airmen who read this book will be stronger and will stand on the shoulders of those who suffered and those who made the ultimate sacrifice.

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.