EDB (Evan s Debugger) is a QT4 based binary mode debugger with the goal of having usability on par with OllyDbg. It uses a plugin architecture, so adding new features can be done with ease. The current release is for Linux, but future releases will target more platforms.
Release focus: Major featur ...
Abstract:
By using gateway systems on large 32-bit platforms, networks of small, 8- and 16-bit
microcontrollers can be monitored and controlled over the Internet. With embedded Linux, these
gateways are easily moved from full-blown host PCs to embedded platforms like the PC104. In
this class you wil ...
The present document specifies the CAMEL Application Part (CAP) supporting the fourth phase of the network feature Customized Applications for Mobile network Enhanced Logic. CAP is based on a sub-set of the ETSI Core INAP CS-2 as specified by ETSI EN 301 140 1 [26]. Descriptions and definitions prov ...
The problem of image registration subsumes a number of problems and techniques in multiframe
image analysis, including the computation of optic flow (general pixel-based motion), stereo
correspondence, structure from motion, and feature tracking. We present a new registration
algorithm based on spli ...
μC/OS-II Goals
Probably the most important goal of μC/OS-II was to make it backward compatible with μC/OS (at least from an
application’s standpoint). A μC/OS port might need to be modified to work with μC/OS-II but at least, the application
code should require only minor changes (if any). Als ...
Foundations of Python Network Programming leads readers through every aspect of client and server programming with Python. Python is a new and innovative scripting language. It is set to replace Perl as the programming language of choice for scripters and for serious application developers wanting a ...
AdaBoost is an efficient tool in machine learning. It can combine a series of weak learners into a strong learner. Besides pattern classification, it also can be applied into feature selection. This document explains the use of AdaBoost.
This Two-Category Classifier Using Discriminant Functions to
separeate two classes. The Classifier is designed on classes which
has two feature vectors and other case it has one feature vector.
ATViewer is a component for Delphi/C++Builder, which allows to view files of various types. There is no edit possibility, just quick view - so it s useful to implement "View file" feature in your Delphi/C++Builder application.
The following view modes are implemented:
Text, Binary, Hex, Unicode: ...