This example discusses the problem of signal recovery from noisy data. The general denoising procedure involves three steps. The basic version of the procedure follows the steps described below:

Decompose: Choose a wavelet, choose a level N. Compute the wavelet decomposition of the signal at level N.
Threshold detail coefficients: For each level from 1 to N, select a threshold and apply soft thresholding to the detail coefficients.
Reconstruct: Compute wavelet reconstruction using the original approximation coefficients of level N and the ....etc

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A User-Oriented Image Retrieval System Based on Interactive Genetic Algorithm

Digital image libraries and other multimedia databases have been dramatically expanded in recent years. In order to effectively and precisely retrieve the desired images from a large image database, the development of a content-based image retrieval (CBIR) system has become an important research issue. However, most of the proposed approaches emphasize on finding the best representation for different image features. Furthermore, very few of the representative work ....etc

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The monitoring and control of vehicular traffic and
pedestrians pose a major challenge to transport authorities
around the world. The escalating number of vehicles in
cities not only has a huge environmental impact, but also
results in loss of lives on the road. This situation demands
a comprehensive approach involving a system in which
both the traffic controls for vehicles and pedestrians are
coordinated so that road users are safe and traffic is
smooth flowing.
Currently, pedestrian crossings pose a significant hazard in
many count ....etc

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Abstract:
Time-Tables are very important for any university administration. It informs the students and teachers when
and where to be, the availability of the rooms and the availability of the teachers. But, the generation of time-tables
manually is a very tedious task and is almost always inconvenient. This project aims at generation of course schedules
automatically in a manner which ensures that they are optimal and thorough with little or no redundancy. It involves
taking basic constraints and the structure of a time-table and incorpo ....etc

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java source code for genetic algorithm in cloudsim

Genetic algorithms (GAs) are evolutionary algorithms that use the principle of natural selection to evolve a set of solutions toward an optimum solution. As nature uses random mechanisms to generate new populations so does JGAP in Java. GAs are not only quite powerful, but are also very easy to use as most of the work can be encapsulated into a single component, requiring users only to define a fitness function that is used to determine how good a particular random solution is relative to o ....etc

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Proactive routing protocol maintains constant and updated routing information for each pair of networking nodes by propagating route updates proactively at fixed interval of time. The periodic and event-driven messages are responsible for route establishment and route maintenance. The Destination-Sequenced Distance Vector (DSDV) protocol is the commonly used proactive routing protocol in mobile ad hoc network (MANET). In DSDV, each node maintains a routing table with one route entry for each destination in which the shortest path is recorded. I ....etc

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source code for interactive genetic algorithm in image retrieval ....etc

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code for face recognition using pca algorithm and genetic algorithm ....etc

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ABSTRACT

The complete network of large number of interconnected autonomous system, each of which consists of a distinct domain, needs to communicate to different nodes to forward the information. There are various means of communications between these systems. Routing is one of them. Routing refers to the overall network wide process that determines end to end paths that datagram will take from source to destinations. There are different routing algorithms available such as BELLMAN FORD ALGORITHM which is decentralized routing algorithm and ....etc

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Dijkstra's algorithm is called the single-source shortest path. It is also known as
the single source shortest path problem. It computes length of the shortest
path from the source to each of the remaining vertices in the graph.
The single source shortest path problem can be described as follows:
Let G= {V, E} be a directed weighted graph with V having the set of vertices.
The special vertex s in V, where s is the source and let for any edge e in E,
EdgeCost(e) be the length of edge e. All the weights in the graph should be
non-negative. ....etc

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