filelist
psosvm
..\Examples
..\..\Classification
..\..\..\iris1v23.mat
..\..\..\iris2v13.mat
..\..\..\iris3v12.mat
..\..\..\linsep.mat
..\..\..\nlinsep.mat
..\..\Regression
..\..\..\example.mat
..\..\..\sinc.mat
..\..\..\titanium.mat
..\Optimiser
..\..\Makefile
..\..\ pr_loqo.c
..\..\ pr_loqo.h
..\..\ qp.c
..\..\qp.dll
..\best.mat
..\ binomial.m
..\cancer_input.mat
..\cancer_output.mat
..\ centrefig.m
..\ Classification_SVM_SteveGunn.asv
..\ Classification_SVM_SteveGunn.m
..\cmap.mat
..\ Contents.m
..\ fx.a ....etc

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pso algorithm ns2 source code

Abstract
In the conventional mobile ad hoc network (MANET) systems' route rediscovery methods, there exists route failure in all route discovery methods resulting in data loss and communication overheads. Hence, the routing has to be done in accordance with mobility character of the network. In this manuscript, a particle swarm optimization (PSO)-based lifetime prediction algorithm for route recovery in MANET has been proposed. This technique predicts the lifetime of page link and node in the available bandwidth b ....etc

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Automated Detection of Stealthy Portscans (Network Intrusion Detection System)

Portscanning is a common activity of considerable importance. It is often used by computer attackers to characterize hosts or networks which they are considering hostile activity against. Thus it is useful for system administrators and other network defenders to detect portscans as possible preliminaries to a more serious attack.

There are two general purposes that an attacker might have in conducting a portscan: a primary one, and a secondary one. The primary ....etc

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ALGORITHM FOR PSO:

ALGORITHM FOR PSO:

For each particle
Initialize particle
END

Do
For each particle
Calculate fitness value
If the fitness value is better than the best fitness value (pBest) in history
set current value as the new pBest
End

Choose the particle with the best fitness value of all the particles as the gBest
For each particle
Calculate particle velocity
Update particle position
End
While maximum iterations or minimum error criteria is not attained
First we have to randoml ....etc

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Time-dispersive channels can cause intersymbol interference (ISI), a form of distortion that causes symbols to overlap and become indistinguishable by the receiver. For example, in a multipath scattering environment, the receiver sees delayed versions of a symbol transmission, which can interfere with other symbol transmissions. An equalizer attempts to mitigate ISI and improve receiver performance. Communications System Toolbox provides equalization capabilities using one or more Simulink blocks, System objects, or MATLAB functions.

This ....etc

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Dear sirs/mam,
I need a matlab code for intrusion detection using PSO.Please help me by sending its code. ....etc

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....etc

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To get full information or details of edge detection please have a look on the pages

http://seminarsprojects.net/Thread-image-edge-detection-based-on-fpga

http://seminarsprojects.net/Thread-sobel-edge-detection-algorithm

http://seminarsprojects.net/Thread-canny-edge-detection

if you again feel trouble on edge detection please reply in that page and ask specific fields in edge detection ....etc

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Intrusion Prevention and Automated Response in Sachet Intrusion Detection System

An Intrusion Detection System (IDS) monitors computer systems and network traffic, analyzes the traffic to identify possible security breaches, and raises alerts. It is difficult for human users to analyze the alerts and take swift appropriate actions which gives the attacker enough opportunity to continue to carry out further attacks. It is therefore important to take some automated actions to stop the attack. Unlike intrusion detection system, which pas ....etc

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Abstract

In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbedparticles, and moving these particles around in the search-space according to simple mathematical formulae over the particle's position and velocity. Each particle's movement is influenced by its local best known position and is also guided toward the b ....etc

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