CentOS is widely respected as a very powerful and flexible Linux distribution, and it can be used as a web server, file server, FTP server, domain server, or a multirole solution. It is designed to handle the more demanding needs of business applications such as network and system administration, database management, and web services. CentOS is self-sufficient and fast while working, with the added benefit of global acceptance as a large number of the world’s web servers run on it.

The in-depth, detailed, hands-on manual on Express.js, the most popular Node.js framework. Will get you up and running fast and save you time. Understand the concepts, learn the best practices. Become an Express.js expert today!

Google Glass is the wearable computer that everyone’s talking about–a head-mounted optical display with a camera that responds to voice and gesture controls. You can use the Mirror API and Glass Development Kit (GDK) to build custom Glassware for yourself and others, from social networks and geolocated maps to immersive video games and more. This new edition, with an all-new part covering the GDK, kick-starts your Glassware development by showing you how to write real-world functional applications that you can deploy and run. It’s the book to read for a shortcut to this new world.

The R language is a powerful open source functional programming language. At its core, R is a statistical programming language that provides impressive tools to analyze data and create high-level graphics.

This “hands-on” book is for people who are interested in immediately putting Maple to work. The reader is provided with a compact, fast and surveyable guide that introduces them to the extensive capabilities of the software. The book is sufficient for standard use of Maple and will provide techniques for extending Maple for more specialized work. The author discusses the reliability of results systematically and presents ways of testing questionable results. The book allows a reader to become a user almost immediately and helps him/her to grow gradually to a broader and more proficient use. As a consequence, some subjects are dealt with in an introductory way early in the book, with references to a more detailed discussion later on.

This book discusses the contribution of excitation source information in discriminating language. The authors focus on the excitation source component of speech for enhancement of language identification (LID) performance. Language specific features are extracted using two different modes: (i) Implicit processing of linear prediction (LP) residual and (ii) Explicit parameterization of linear prediction residual. The book discusses how in implicit processing approach, excitation source features are derived from LP residual, Hilbert envelope (magnitude) of LP residual and Phase of LP residual; and in explicit parameterization approach, LP residual signal is processed in spectral domain to extract the relevant language specific features. The authors further extract source features from these modes, which are combined for enhancing the performance of LID systems. The proposed excitation source features are also investigated for LID in background noisy environments. Each chapter of this book provides the motivation for exploring the specific feature for LID task, and subsequently discuss the methods to extract those features and finally suggest appropriate models to capture the language specific knowledge from the proposed features. Finally, the book discuss about various combinations of spectral and source features, and the desired models to enhance the performance of LID systems.