Railway Transpor tations and its Development 2. Railway Terminology 3. Railway Track 4. Stresses in Railway Track 5. Traction and Tractive Resistances 6. Rails 7. Rail Joints and Welding of Rails 8. Creep of Rails 9. Sleepers 10. Track Fittings and Fastenings 11. Ballast 12. Subgrade and Embankments 13. Track Alignments 14. Surveying 15. Geometric Design of the Track 16. Points and Crossings 17. Track Junctions 18. Stations and Yards 19. Equipment in Station Yards 20. Signaling and Control Systems 21. Interlocking of Signals and Points 22. Construction and Renewal of Track 23. Track Drainage 24. Conventional Maintenance of Track (or Manual Maintenance) 25. Railway Track Standards 26. Safety in Railways 27. Underground Railways and Tunnelling. PART- II MODERNIZATION OF RAILWAY TRACK AND FUTURE TRENDS 28. Modern Developments in Railways 29. Development of High and Super High Speeds 30. Modernization of Track for High Speeds 31. Modern Methods of Track Maintenance PART- III RAILWAY ADMINISTRATION, ECONOMICS AND FINANCE 32. Administration of Indian Railways 33. Railway Expenses, Rates and Fares 34. Material Management.

    Web-based companies live or die by the ability to scale their infrastructure to accommodate increasing demand. This book is a hands-on and practical guide to planning for such growth, with many techniques and considerations to help you plan, deploy, and manage web application infrastructure.The Art of Capacity Planning is written by the manager of data operations for the world-famous photo-sharing site Flickr.com, now owned by Yahoo! John Allspaw combines personal anecdotes from many phases of Flickr's growth with insights from his colleagues in many other industries to give you solid guidelines for measuring your growth, predicting trends, and making cost-effective preparations. Topics include:Evaluating tools for measurement and deployment Capacity analysis and prediction for storage, database, and application servers Designing architectures to easily add and measure capacity Handling sudden spikes Predicting exponential and explosive growth How cloud services such as EC2 can fit into a capacity strategy In this book, Allspaw draws on years of valuable experience, starting from the days when Flickr was relatively small and had to deal with the typical growth pains and cost/performance trade-offs of a typical company with a Web presence. The advice he offers in The Art of Capacity Planning will not only help you prepare for explosive growth, it will save you tons of grief.

    Miranda Summerlin finds that she has been given nanites that give her enhanced mental abilities and extraordinary hand-to-eye coordination. She attends the nearby Space Academy where she uses her mental genius to work on cutting edge astrophysics and she joins the school shooting competition team after discovering she can hit wherever she aims at on a target. Intending to keep her skills low key, Miranda must step up to prevent a terrorist attack against the school that only she has the skills to do so. Miranda has also drawn the attention of a girl on the soccer team who becomes her nemesis at the school. While playing pool at a school party, Miranda lets her irritation with her nemesis cause her to let some of her skills slip thru to others. But Miranda will soon be faced with the need to use many of her skills and in so doing, Miranda will come to the attention of her true nemesis, a rogue Organization that wants her nanites. She will need help to escape from their agent. In the process, she will discover her true identity. But what is the cost for her rescue? How will she deal with the Organization? >>>The first in the Near Future series, Awakening is a near future sci-fi thriller in a world that combines science that just might be possible soon with psychic visions and an evil Organization that is backed by an unknown power. Coming soon, books 2 and 3 in the series and a novella too! Sign up for my Reader's List at http://randalsloan.com/nearfuture/

    The book makes clear that applied microeconometrics is about the estimation of marginal and treatment effects, and that parametric estimation is simply a means to this end. It also clarifies the distinction between causality and statistical association. The book focuses specifically on cross section and panel data methods. Population assumptions are stated separately from sampling assumptions, leading to simple statements as well as to important insights. The unified approach to linear and nonlinear models and to cross section and panel data enables straightforward coverage of more advanced methods. The numerous end-of-chapter problems are an important component of the book. Some problems contain important points not fully described in the text, and others cover new ideas that can be analyzed using tools presented in the current and previous chapters. Several problems require the use of the data sets located at the author's website.

    All of the fundamentals of robotics are covered--robotics analysis; including kinematics, kinetics and force control, and trajectory planning of robots; its sub-systems such as actuators, sensors, and vision systems; as well as robotics applications. "Introduction to Robotics" also includes many subjects related to mechatronics, microprocessor actuator control, integration of sensors, vision systems, and fuzzy logic. For practicing mechanical engineers, electronic and electric engineers, computer engineers, and engineering technologists who would like to learn about robotics.

    Updated for Python 3, this expanded edition shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By exploring the fundamental theory behind design choices, High Performance Python helps you gain a deeper understanding of Python's implementation.How do you take advantage of multicore architectures or clusters? Or build a system that scales up and down without losing reliability? Experienced Python programmers will learn concrete solutions to many issues, along with war stories from companies that use high-performance Python for social media analytics, productionized machine learning, and more.Get a better grasp of NumPy, Cython, and profilersLearn how Python abstracts the underlying computer architectureUse profiling to find bottlenecks in CPU time and memory usageWrite efficient programs by choosing appropriate data structuresSpeed up matrix and vector computationsUse tools to compile Python down to machine codeManage multiple I/O and computational operations concurrentlyConvert multiprocessing code to run on local or remote clustersDeploy code faster using tools like Docker

    This guide provides explanations of eigenvalues, eigenvectors, linear transformations, linear equations, vectors, and matrices.