AMOP 0.3 is an Automatic Mock Object for C++.
By using ABI and template techniques, it can simulate a pseudo-"Reflection" which is normally not support in C++ .
The main differences between AMOP and other mock object library is that, users DO NOT need to implement the interface of the object which ...
fwknop stands for "Firewall Knock Operator" and is an upcoming piece of software that will be released at the DEFCON 12 conference in July, 2004 in Las Vegas.
fwknop implements network access controls (via iptables) based on a flexible port knocking mini-language, but with a twist it combines port ...
* Lightweight backpropagation neural network.
* This a lightweight library implementating a neural network for use
* in C and C++ programs. It is intended for use in applications that
* just happen to need a simply neural network and do not want to use
* needlessly complex neural network librar ...
The NCTUns network simulator and emulator is developed at NCTU, Taiwan. Its predecessor is the Harvard network simulator (invented by Prof. S.Y. Wang in 1999).
By using a novel simulation methodology, it can do several tasks that traditional network simulators cannot easily do.
A "code-what"? Unless you have spent some time working in the area of reverse engineering, chances are you have not heard of the term "codecave" before. If you have heard of it, you might not have read a clear definition of it or quite understand what it is or why it is useful. I have even asked sea ...
The Synthetic PIC
Verion 1.1
This a VHDL synthesizable model of a simple PIC 16C5x microcontroller.
It is not, and is not intended as, a high fidelity circuit simulation.
This package includes the following files. Note that the license agreement
is stated in the main VHDL file, PICCPU.VHD and com ...
This sample shows different ways of performing anti-aliasing - both by using only
the native hardware AA support, and by mixing the hardware modes with additional
supersampling. There are various ways in which the supersampled image can be
down-sampled. The way we do the downsampling in this example ...
