With this example-driven book, you get a quick, practical, and thorough introduction to Java s API for XML Web Services (JAX-WS) and the Java API for RESTful Web Services (JAX-RS). Java Web Services: Up and Running takes a clear, no-nonsense approach to these technologies by providing you with a mix of architectural overview, complete working code examples, and short yet precise instructions for compiling, deploying, and executing a sample application. You ll not only learn how to write web services from scratch, but also how to integrate existing services into your Java applications. All the source code for the examples is available from the book s companion website.
Introduction to I/O Kit Device Driver Design Guidelines
Chapter 1 The libkern C++ Runtime
Chapter 2 libkern Collection and Container Classes
Chapter 3 The IOService API
Chapter 4 Making Hardware Accessible to Applications
Chapter 5 Kernel-User Notification
Chapter 6 Displaying Localized Information About Drivers
Chapter 7 Debugging Drivers
Chapter 8 Testing and deploying Drivers
Chapter 9 Developing a Device Driver to Run on an Intel-Based Macintosh
Smart Grids provide many benefits for society. Reliability, observability across the
energy distribution system and the exchange of information between devices are just
some of the features that make Smart Grids so attractive. One of the main products of
a Smart Grid is to data. The amount of data available nowadays increases fast and carries
several kinds of information. Smart metres allow engineers to perform multiple
measurements and analyse such data. For example, information about consumption,
power quality and digital protection, among others, can be extracted. However, the main
challenge in extracting information from data arises from the data quality. In fact, many
sectors of the society can benefit from such data. Hence, this information needs to be
properly stored and readily available. In this chapter, we will address the main concepts
involving Technology Information, Data Mining, Big Data and clustering for deploying
information on Smart Grids.
Smart Grids provide many benefits for society. Reliability, observability across the
energy distribution system and the exchange of information between devices are just
some of the features that make Smart Grids so attractive. One of the main products of
a Smart Grid is to data. The amount of data available nowadays increases fast and carries
several kinds of information. Smart metres allow engineers to perform multiple
measurements and analyse such data. For example, information about consumption,
power quality and digital protection, among others, can be extracted. However, the main
challenge in extracting information from data arises from the data quality. In fact, many
sectors of the society can benefit from such data. Hence, this information needs to be
properly stored and readily available. In this chapter, we will address the main concepts
involving Technology Information, Data Mining, Big Data and clustering for deploying
information on Smart Grids.
At the time of writing, and to an extent never seen before, there is an expectation that
almost any information or service that is available through communication systems in
the office or home will be available wherever the user happens to be. This is placing
incredible demands on wireless communications and has been the driver for the gen-
esis and deployment of three generations of cellular systems in the space of 20 years.
Public telephone operators and new independent wireless operators through-
out the world are deploying wireless access in an effort to drastically reduce
delivery costs in the most expensive part of the network?the local loop.
Available radio technology enables both existing and new entrants to access
subscribers in a rapid manner and deliver their basic telephony products and
broadband-enhanced services.
The Raspberry Pi has become a computing phenomenon. This single-board miniature
computer, first released in February 2012 by the Raspberry Pi Foundation, has grown into
a series of nearly a dozen models that have sold a total of more than 10 million units in
five years.
Inexpensive to buy and to run, Raspberry Pi computers are great for enthusiasts,
good for games, and fun for children. Raspberry Pi computers are also terrific in the
classroom, enabling you to put on each desk an easily-manageable computer on which
students can do everything from learning Internet use and essential office software skills,
through grasping programming basics in an easy-to-learn format, to performing full-on
programming in Python, Java, C, and other languages. Better yet, you can install all the
software needed for those activities automatically alongside the operating system.
