Hello,
I want to know about the working of Non reactive suspension system used in trucks. ....etc

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Abstract
This paper presents an artiÞcial neural network-based approach (ANN) for reactive power
(VAR) optimization of interconnected power systems. The reactive power resources are scheduled
to minimize the total transmission losses of the network. The proposed ANN for this study
is a three-layer feed-forward network with a sigmoidal transfer function. Di¤erent loading
conditions of reactive power are used as input pattern to train the ANN. The desired output is
the optimal voltages at the VAR-controlled buse ....etc

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ppt on decoupled active and reactive power control of doubly fed induction generator ....etc

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i need it for my final year tech seminar. ....etc

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Abstract
We develop a framework for minimizing the communication overhead of monitoring global system parameters in IP networksand sensor networks. A global system parameter is defined as a function of local properties of different network elements. Identifyingwhen the total amount of interface out traffic from an organization’s sub-network exceeds some threshold is an example parameter tomonitor. Our main idea is to optimize the scheduling of local event reporting across network elements for a given network traffic loadand local eve ....etc

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Articial Intelligence Methods in Virus Detection & Recognition


Malware types

We can distinguish quite few malicious software types. It is important to
be aware that nevertheless all of them have similar purpose, each one
behave dierently.
Viruses
Worms
Wabbits
Trojan horses
Exploits/Backdoors
Spyware/Scumware/Stealware/Parasiteware/Adware
Rootkits
Keyloggers/Dialers
Hoaxes
Wojciech Podgorski http://podgorski.wordpress.com

Infection str ....etc

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Neural network is a massively parallel distributed processor made of simple processing units which has a natural propensity for storing experimental knowledge and making it available for us. Neural network are a different paradigm for computing. v Von Neumann machines are based on the processing / memory abstraction of human information processing. v Neural networks are based on the parallel architecture of human brain. For the insulation design of high voltage apparatus, electric field optimization technique becomes indispensable tool. Once th ....etc

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Reactive power optimization with artificial bee colony algorithm
INTRODUCTION
Reactive power optimization (RPO) is an important
optimizaton process in terms of voltage stability, voltage
quality and active power loss. The main object function in
RPO is the total active power loss function, but in later
years, systems were analyzed in terms of reactive supply
costs and voltage profile.
Since voltage profile minimizes the deviations between
the nominal and bus voltages, the reactive power
transferred from the bus will decr ....etc

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I NEED A COMPLETE DOCUMENTATION ACTIVE POWER FILTERS FOR REACTIVE POWER COMPENSATION USING MATLAB SIMULINK MODEL
BY TODAY IF POSSIBLE PLZZZZZZZZZZZ........
active power filters for reactive power compensation using matlab simulink ....etc

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IMPROVING THE EFFICIENCY IN REACTIVE AD HOC NETWORK USING GLOBAL POSITIONING SYSTEM

Presented By:
G.TAMIL ILLAKKIYA
III YEAR ECE
SETHU INSTITUTE OF TECHNOLOGY


INTRODUCTION¦
AD HOC Network “ a wireless network in which all the nodes are free to move randomly and organize themselves arbitrarily.
Sending along a packet from a source to a destination in an hoc network is a challenging problem.
The main source of the challenges comes from that - no base stations in these networks,- th ....etc

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