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Page Rank Algorithm


Posted by: summer project pal
Created at: Sunday 23rd of January 2011 10:06:22 AM
Last Edited Or Replied at :Tuesday 30th of October 2012 03:34:50 AM
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which is fast becoming the
centre of internet space, scan such a large number of different type of documents in
time intervals as short as 0.07 seconds and still provide accurate results. PageRank
algorithm is the secret to the success of several popular search engines like Google.
PageRank algorithm is the backbone to understanding various advanced algorithms
used by current search engines which use more sophisticated methods for providing
better security, stability and non-manuipulation of results.

Chapter 1
Introduction

There are approximately 1.9 billion Internet users e..................[:=> Show Contents <=:]



rsa algorithm full report


Posted by: computer science technology
Created at: Sunday 24th of January 2010 10:41:31 AM
Last Edited Or Replied at :Friday 23rd of November 2012 12:02:15 AM
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is ËœSUNâ„¢ and we use the numeric values of the characters according to their serial in alphabets.
Plaintext Ciphertext(C) after decryption
Sym num M^3 M^3 mod33 C^7 C^7mod33 sym
S 19 6859 28 13492928512 19 S
U 21 9261 21 1801088541 21 U
N 14 2744 5 78125 14 N

KEY GENERATION
The process of Key Generation contain the following steps
1- Select two prime numbers say p and q randomly
Where p q.
2- Calculate-
n = p *q.
3- Calculate Ø(n) = (p-1) (q-1)
Note-
What is Ø(n)
Ø(n) is called the Euler™s Totient function.
It is the no. of posi..................[:=> Show Contents <=:]



Application of Genetic Algorithm to Economic Load Dispatch full report


Posted by: computer science technology
Created at: Sunday 24th of January 2010 10:16:38 AM
Last Edited Or Replied at :Thursday 26th of January 2012 11:15:05 PM
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position
p1=(0110100)
selection
In the implementation of genetic algorithm, the best individuals using roulette wheel with slot sized according to fitness is selected, so that the probability of selection of best strings are more. Further more , one only accept an offspring as a new member of the population, if it differs enough from the other individuals , at least by some significant amount . After accepting a new individual, one of the worst individuals is removed,i.e. its fitness value is quite low from the population in order to hold the population size constant. In the present imp..................[:=> Show Contents <=:]



Fast Redundant Binary Partial Product Generators for Booth Multiplication


Posted by: electronics seminars
Created at: Saturday 09th of January 2010 06:15:05 AM
Last Edited Or Replied at :Saturday 09th of January 2010 06:15:05 AM
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Table II.
The extra RB digit from each RB operand forms an extra
operand, which can be fed into the next partial product
accumulation stage as shown in Makino . This correctionword
will be having the format ¦0Z000Z000Z, where Z
{1, 0, -1}. The addition of two NB partial products A = -10
and B = -20 according to Table II encoding is shown in Fig.
1. The two partial products are grouped along with the extra
bit. In this case both numbers are expressed in their oneâ„¢s
complement representations. The extra bits are ˜1™ for both,
and are shown separately in Fig. 1. T..................[:=> Show Contents <=:]



Particle Swarm Optimization Algorithm and Its Application in Engineering Design Optim


Posted by: computer science crazy
Created at: Friday 23rd of October 2009 06:14:34 AM
Last Edited Or Replied at :Thursday 02nd of May 2013 11:58:46 PM
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ence of swarms looking for the most fertile feeding location. PSO's foundation is based on the principle that each solution can be represented as a particle (agent) in a swarm. Each agent has a position and velocity vector and each position coordinate represents a parameter value. The underlying rules of cooperation and competition within social swarms give it good capability to make global optimization with the help of memory rather than to simply random search in a certain area. So it has a better chance to fly into a better solution quickly than some previous optimizers have in addition to ..................[:=> Show Contents <=:]



Recent Researches on Web Page Ranking


Posted by: computer science crazy
Created at: Friday 23rd of October 2009 05:49:47 AM
Last Edited Or Replied at :Tuesday 30th of October 2012 03:34:45 AM
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r to go through more than the first 10 to 20 pages shown by a search engine. So the ordering of web pages becomes very much important to produce an effective and efficient search result. The web page ranking algorithms are responsible to make this ordering of search results. Among the existing page ranking algorithms the most important algorithms are Kleinberg's HITS algorithm and Brin & Page's PageRank algorithm. Most of the other algorithms are directly or indirectly based on these two algorithms. The present seminars will give a comprehensive discussion on HITS and PageRank algorithm. The f..................[:=> Show Contents <=:]



computer science project ideas list


Posted by: computer science crazy
Created at: Tuesday 20th of October 2009 05:10:10 AM
Last Edited Or Replied at :Monday 01st of March 2010 07:27:56 PM
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avior In MANETs /Java
Neural Network-Based Face Detection /VC++
Homogenous Network Control and Implementation /Java
XML Data Stores: Emerging Practices /Java
XTC: A Practical Topology Control Algorithm for Ad-Hoc Networks /Java
A near-optimal multicast scheme for mobile ad hoc networks using a hybrid genetic algorithm /Java
Mobile Agents In Distributed Multimedia Database Systems /Java
Wireless Traffic Viewer Using JME JME
JME Mail Client Server JME
Monitoring And Managing The Clusters Using JMX JME
Peer-To-Peer Messaging JME
Mobile Information Provider JME
Mobile Bank WAP
Video S..................[:=> Show Contents <=:]



ODAM An Optimized Distributed Association Rule Mining Algorithm


Posted by: computer science crazy
Created at: Thursday 17th of September 2009 11:47:48 AM
Last Edited Or Replied at :Monday 23rd of January 2012 12:26:21 AM
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ing. Unfortunately, most ARM algorithms focus on a sequential or centralized environment where no external communication is required. Distributed ARM algorithms, on the other hand, aim to generate rules from different data sets spread over various geographical sites; hence, they require external communications throughout the entire process. DARM algorithms must reduce communication costs so that generating global association rules costs less than combining the participating sites' data sets into a centralized site. However, most DARM algorithms don't have an efficient message optimization tech..................[:=> Show Contents <=:]



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