Mantis an easily deployable, web based bugtracker to aid product bug tracking. It requires PHP, MySQL and a web server. It is simpler than Bugzilla and easily editable. Check out the online Demo.
CWebGrab is a simple class that allows you to quickly and easily download files from the net. The class is merely a light wrapper for the MFC internet classes, and as such supports any protocol that the MFC classes support.
ZipForge is a fast ZIP compression library. With this toolkit you can easily add archive functionality to your projects. ZipForge includes our new unique techonology, a transaction system. This innovative solution gives you a fast and easy way of updating archive files providing data integrity like a reliable database system. ZipForge Personal is free for personal use. Any company that uses ZipForge in its projects must order ZipForge Pro.
The Torque Network Library is a networking API designed to allow developers to easily add world-class multiuser simulation capabilities to their products.
Decoding most of the infrared signals can be easily
handled by PIC16C5X microcontrollers. This application
note describes how this decoding may be done.
The only mandatory hardware for decoding IR signals
is an infrared receiver. The use of two types is
described here. Both are modular types used often by
the consumer electronics industry. The first type
responds to infrared signals modulated at about
40 kHz. The second responds to non-modulated infrared
pulses and has a restricted range. The hardware
costs of each approach will be less than two dollars.
This OpenNL, a library to easily construct and solve sparse linear systems.
* OpenNL is supplied with a set of built-in iterative solvers (Conjugate gradient,BICGSTAB, GMRes) and preconditioners (Jacobi, SSOR).
* OpenNL can also use other solvers (SuperLU 3.0 is supported as an OpenNL extension,MUMPS will be supported in a future version)
easily editable files to simulate three MIMO predictive control algorithms.
These files are intended as a support to this book to enable students to investigate predictive control algorithms from the formulation of the
prediction equations right through to the closed-loop simulation.
