DYMOUM is an implementation of the DYMO (Dynamic Manet On-demand) routing protocol both for Linux kernel and ns2 network simulator, written in C and C++.
Semantic analysis of multimedia content is an on going research
area that has gained a lot of attention over the last few years.
Additionally, machine learning techniques are widely used for multimedia
analysis with great success. This work presents a combined approach
to semantic adaptation of neural network classifiers in multimedia framework.
It is based on a fuzzy reasoning engine which is able to evaluate
the outputs and the confidence levels of the neural network classifier, using
a knowledge base. Improved image segmentation results are obtained,
which are used for adaptation of the network classifier, further increasing
its ability to provide accurate classification of the specific content.
BP neural network for time series analysis predicted that by entering the corresponding time-series data to predict the future, suitable for beginners on the BP neural network learning
neural network utility is a Neural Networks library for the
C++ Programmer. It is entirely object oriented and focuses
on reducing tedious and confusing problems of programming neural networks.
By this I mean that network layers are easily defined. An
entire multi-layer network can be created in a few lines, and
trained with two functions. Layers can be connected to one another
easily and painlessly.
CAN1.c and CAN2.c are a simple example of configuring a CAN network to
transmit and receive data on a CAN network, and how to move information to
and from CAN RAM message objects. Each C8051F040-TB CAN node is configured
to send a message when it s P3.7 button is depressed/released, with a 0x11
to indicate the button is pushed, and 0x00 when released. Each node also has
a message object configured to receive messages. The C8051 tests the
received data and will turn on/off the target board s LED. When one target
is loaded with CAN2.c and the other is loaded with CAN1.c, one target
board s push-button will control the other target board s LED, establishing
a simple control link via the CAN bus and can be observed directly on the
target boards.
This project concentrates on the deterministic approach. This guarantees the full coverage in mobile adhoc network. This uses deterministic broadcast protocols that use neighbor set information only, which is more efficient method.
This project concentrates on the deterministic approach. This guarantees the full coverage in mobile adhoc network. This uses deterministic broadcast protocols that use neighbor set information only, which is more efficient method.
This project concentrates on the deterministic approach. This guarantees the full coverage in mobile adhoc network. This uses deterministic broadcast protocols that use neighbor set information only, which is more efficient method.
