Reducer: Given a dataset and a file containing a reduct, this program outputs a new dataset containing only the attributes appearing in the reduct file.
The third edition of Learning GNU Emacs describes Emacs 21.3 from the ground up, including new user interface features such as an icon-based toolbar and an interactive interface to Emacs customization. A new chapter details how to install and run Emacs on Mac OS X, Windows, and Linux, including tips for using Emacs effectively on those platforms.
Secure Programming Cookbook for C and C++ is an important new resource for developers serious about writing secure code for Unix(including Linux) and Windows environments. This essential code companion covers a wide range of topics, including safe initialization, access control, input validation, symmetric and public key cryptography, cryptographic hashes and MACs, authentication and key exchange, PKI, random numbers, and anti-tampering.
* KeyDebounce Accept new key reading, handle timing for debounce & slew
* KeyId Report which key is currently pressed
* KeySlewTimeSet Accept slew time for key currently pressed
A new blind adaptive multiuser detection scheme based on a hybrid of Kalman filter and
subspace estimation is proposed. It is shown that the detector can be expressed as an anchored
signal in the signal subspace and the coefficients can be estimated by the Kalman filter using only
the signature waveform and the timing of the desired user.
To build an OLE DB application for SQL Server CE in Visual Studio 2005, you must include the new Ssceoledb.h file in the application. The new Ssceoledb.h file is an integration of the Oledb.h file, the Oledb.lib file, and the previous Ssceoledb.h file.
The Staged Event-Driven Architecture (SEDA) is a new design for building scalable Internet services. SEDA has three major goals:
To support massive concurrency, on the order of tens of thousands of clients per node
To exhibit robust performance under wide variations in load and,
To simplify the design of complex Internet services.
SEDA decomposes a complex, event-driven application into a set of stages connected by queues. This design avoids the high overhead associated with thread-based concurrency models, and decouples event and thread scheduling from application logic. SEDA enables services to be well-conditioned to load, preventing resources from being overcommitted when demand exceeds service capacity. Decomposing services into a set of stages also enables modularity and code reuse, as well as the development of debugging tools for complex event-driven applications.
