Power System Restoration (PSR) has been a subject of study for many years. In recent years many techniques were proposed to solve the limitations of predetermined restoration guidelines and procedures used by a majority of system operators to restore a system following the occurrence of a wide area disturbance.

This paper discusses limitations encountered in some currently used PSR techniques and a proposed improvement based on Artificial Neural Networks (ANNs). This proposed scheme has been tested on a 162-bus transmission system and compa ....etc

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1. INTRODUCTION
This project gives an idea about the misuse detection and monitoring management of the database system oracle. Generally now a days most of the people uses computers for keeping the database, regularly. This modern project keeps the vigil on the computers as well as detect the private and unauthorized threat for the system. AS threat occurs it gives the indication to the user. As well as the administrator. It uses the firewall to user initially it asks for the identity. If it matches to the previous stored ....etc

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Most people when asked if they think computers could ever become sentient quickly respond no and refer to the fact that computers are unable to learn. However, Neural Networks seems to do just that.

Neural Networks encompass a diverse set of computational models, which share a set of simple underlying characteristics. Inspired by the computational style of biological systems, a Neural Network can be viewed as an assembly of simple, interconnected processing units (neurons) acting in parallel, which communicate to each other using unidirecti ....etc

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Misuse detection is the process of attempting to identify instances of network attacks by comparing current activity against the expected actions of an intruder. Most current approaches to misuse detection involve the use of rule-based expert systems to identify indications of known attacks. However, these techniques are less successful in identifying attacks which vary from expected patterns. Artificial neural networks provide the potential to identify and classify network activity based on limited, incomplete, and nonlinear data sources. Th ....etc

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ARTIFICIAL NEURAL NETWORK FOR MISUSE DETECTION


INTRODUCTION


INTRUSION DETECTION SYSTEMS (IDS)

• Host-based IDS
• Network-based IDS
• Vulnerability-assessment IDS


COMPONENT OF Of IDS

• An information source that provides a stream of event records
• An analysis engine that identifies signs of intrusions
• A response component that gene rates reactions based
on the outcome of the analysis engine.


Neu ....etc

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ABSTRACT

The amount of information available to us is literally exploding to manage this large task we require tools that simplify the management and presentation of data in a timely and ordered fashion.
The software Test Co-ordination system is a tool for atomizing the test process carried out in MCA department of PESIT the software facilitates the test coordinators.
Test coordination system simplifies the activities of test coordination process by automating the various tasks being followed by the MCA department. The software maintains ....etc

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We begin by considering an Artificial neural n/w architecture in which every node is connected to every node and these connect as are either excitatory or inhibitory or irrelevant.




A single node is insufficient for many patricidal problems and large number of nodes is frequently used. The way nodes are connected determines how computations proceed and constitutes an important early design decision by a neural network developer. A brief discussion of biological neural networks is relevant, prior to examining artificial neural networ ....etc

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Intrusion Detection Systems

The timely and accurate detection of computer and network system intrusions has always been an elusive goal for system administrators and information security researchers. The individual creativity of attackers, the wide range of computer hardware and operating systems, and the ever changing nature of the overall threat to target systems have contributed to the difficulty in effectively identifying intrusions. While the complexities of host computers already made intrusion detection a difficult endeavor, the incre ....etc

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ABSTRACT
Bluetooth, a protocol designed to replace peripheral cables, has grown steadily over the last ve years and includes a variety of applications. The Bluetooth protocol operates on a wide variety of mobile and wireless devices and is nearly ubiquitous. Several attacks exist that successfully target and exploit Bluetooth enabled devices. This paper describes the implementation of a network intrusion detection system for discovering malicious Bluetooth trafc. The work improves upon existing techniques, which only detect a limited set of a ....etc

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FACE RECOGNITION USING ARTIFICIAL NEURAL NETWORKS

Artificial Neural Networks commonly referred to as ËœNeural Networksâ„¢ is a new branch of AI, that enabled a crude simulation of the structure of human brain electronically or in software. The inherent properties of human brain enable it to analyze complex patterns consisting of a number of elements, those individually reveal little of the total pattern, yet collectively represent easily recognizable objects.

The concepts of Neural Networ ....etc

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