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## Page Rank AlgorithmPosted 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 | page ranking algorithm pdf ,
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ithm has also been developed to higher grades along with betterment on research works of Google. 1.2 Definition PageRank algorithm can be defined as a link based probabilistic algorithm which as- signs a numerical value to the each element of a hyperlinket set of documents as in World Wide Web with a purpose of measuring the relative importance of each element in the set. Link based algorithms are algorithms are algorithms which depend on the rela- tionship among objects in a set and not on the content of the elements within the set. Probabilistic algorithms are algorithms which ret.................. [:=> Show Contents <=:] | |||

## rsa algorithm full reportPosted 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 | rsa algorithm tutorial ,
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4. A B 5. B R 6. goto 2 5- calculate the value of d â€œ de = 1 mod ÃƒËœ(n) or d = e^-1 mod ÃƒËœ(n) In calculation of Ëœdâ„¢ we need the multiplicative inverse of Ëœeâ„¢ modulo ÃƒËœ(n) . We know that if gcd (m, b)=1, then b has a multiplicative inverse modulo m. That is, for positive integer b [:=> Show Contents <=:] | |||

## Application of Genetic Algorithm to Economic Load Dispatch full reportPosted 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 | evolutionary programming techniques for economic load dispatchdifferential evolution for economic load dispatch problems,
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enetic algorithm is represented with the help of the flow chart as shown in Fig.2 To maximize the efficiency of GAs, the three inherent parameters of GAs are to be optimized, the mutation probability Pm,crossover probability Pc and the population size POPSIZE. APPLICATION OF GAs TO ECONOMIC LOAD DISPATCH PROBLEM ENCODING AND DECODING Encoding is a process of coding a problem as a number of finite strings. It typically utilizes the binary alphabet {0,1}. The types of encoding schemes have been developed by researches, which are called series encoding and embedded encoding. The series encodi.................. [:=> Show Contents <=:] | |||

## Fast Redundant Binary Partial Product Generators for Booth MultiplicationPosted 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 | booth multiplication vhdl code ,
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300 Figure 2. 64-bit multiplier architecture. IV. PARTIAL PRODUCT ACCUMULATION Partial product accumulation of previous multipliers, Makino and Kim were similar in structure. Our correction-word can replace its counterpart in Kim , thereby reducing the effort to combine RB and Booth recoding terms. Another method of improving partial product accumulation would be to exploit the carry-free addition scheme of the RBA. The carry propagation in RBAs is limited to 2 RBA cells for Encoding 2, and 3 RBA cells for Encoding 1. Since the correction bits have three zeros in bet.................. [:=> Show Contents <=:] | |||

## Particle Swarm Optimization Algorithm and Its Application in Engineering Design OptimPosted 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 | particle swarm optimization example ,
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a better chance to fly into a better solution quickly than some previous optimizers have in
addition to its better performance. Like GA or any optimization techniques, PSO also requires a
fitness evaluation function that takes the agent's position and assigns to it a fitness value. For
multi-parameter optimization problems, global optimization algorithms such as a genetic algorithm
have been attempted but the genetic operators, such as selection, crossover, and mutation are
relatively complex. By comparison, simulated annealing is much simpler but it needs too many
iterations, and the result ..................[:=> Show Contents <=:] | |||

## Recent Researches on Web Page RankingPosted 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 | web page ranking software,
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e 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 focus will be on
recent researches on web page ranking algorithms to compensate the drawbacks of HITS and Pagerank
algorithm. Some of the algorithms to be covered include CLEVER, Companion Algorithm, Weighted Page
Rank, Co..................[:=> Show Contents <=:] | |||

## computer science project ideas listPosted 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 | list ,
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C++ File Encryption and Encrypted text embedding in an image VC++ Performance Evaluation of DISTANCE Routing Algorithm in MANET VC++ courtesy http://www.protechie.net.................. [:=> Show Contents <=:] | |||

## ODAM An Optimized Distributed Association Rule Mining AlgorithmPosted 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 | Netw ,
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ographically distributed. Typically, each site locally stores its ever-increasing amount of
day-to-day data. Using centralized data mining to discover useful patterns in such organizations'
data isn't always feasible because merging data sets from different sites into a centralized site
incurs huge network communication costs. Data from these organizations are not only distributed over
various locations but also vertically fragmented, making it difficult if not impossible to combine
them in a central location. Distributed data mining has thus emerged as an active sub-area of data
mining resear..................[:=> Show Contents <=:] |

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