Netmirror C0m

Mobile Broadcasting with WiMAX

Written exclusively from broadcasters perspective, Mobile Broadcasting with WiMAX will help you move ahead in the use of WiMAX technologies. Whether you are an engineer, content provider, manager, or operator and planning such services, this book helps you understand the dimensions of this new medium and integration of communication, broadcasting and Multimedia technologies. The book oulines migrating to a new generation of broadcasting which integrates the Mobile, Wireless and Fixed network domains, then gives you a complete picture on what is happening in the field. The book is divided into five parts as follows: PART I Gives an introduction to Broadband Wireless Technologies and Mobile WiMAX. Wi-Fi including 802.11a,b,n and g, WiMAX technologies with focus on Mobile WiMAX 802.16e, and provides a global overview of deployment of Wireless broadband networks. PART-II is about Mobile Multimedia broadcasting and Mobile TV technologies, based on both cellular and broadband wireless. PART III covers Resources for Mobile multimedia broadcasting and comprises of four structured chapters on Spectrum for WiMAX networks, WiMAX terrestrial broadcasting networks, client devices for WiMAX and an update of on chipsets developments. Part IV is devoted to the Network Architectures and the integration of WiMAX with other networks, both fixed and mobile. Part V deals with Software architectures and Applications which help the process of mobile multimedia broadcasting. Case studies of prominent networks are given with country specific examples.

Data Communications

Beautiful Data

In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging -- and beautiful -- working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video. With Beautiful Data, you will: Explore the opportunities and challenges involved in working with the vast number of datasets made available by the Web Learn how to visualize trends in urban crime, using maps and data mashups Discover the challenges of designing a data processing system that works within the constraints of space travel Learn how crowdsourcing and transparency have combined to advance the state of drug research Understand how new data can automatically trigger alerts when it matches or overlaps pre-existing data Learn about the massive infrastructure required to create, capture, and process DNA data That's only small sample of what you'll find in Beautiful Data. For anyone who handles data, this is a truly fascinating book. Contributors include: Nathan Yau Jonathan Follett and Matt Holm J.M. Hughes Raghu Ramakrishnan, Brian Cooper, and Utkarsh Srivastava Jeff Hammerbacher Jason Dykes and Jo Wood Jeff Jonas and Lisa Sokol Jud Valeski Alon Halevy and Jayant Madhavan Aaron Koblin with Valdean Klump Michal Migurski Jeff Heer Coco Krumme Peter Norvig Matt Wood and Ben Blackburne Jean-Claude Bradley, Rajarshi Guha, Andrew Lang, Pierre Lindenbaum, Cameron Neylon, Antony Williams, and Egon Willighagen Lukas Biewald and Brendan O'Connor Hadley Wickham, Deborah Swayne, and David Poole Andrew Gelman, Jonathan P. Kastellec, and Yair Ghitza Toby Segaran