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Title: geometric efficient matching algorithm for firewalls ppt
Page Link: geometric efficient matching algorithm for firewalls ppt -
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Created at: Tuesday 16th of October 2012 11:59:56 PM
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Title: ppt for efficient pattern matching algorithm for memory architecture
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Created at: Monday 01st of October 2012 08:17:26 PM
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Title: The Geometric Efficient Matching Algorithm for Firewalls
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Posted By: seminar details
Created at: Saturday 09th of June 2012 07:46:59 PM
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The Geometric Efficient Matching Algorithm for Firewalls




Existing System:
Existing algorithms implement the “longest prefix match” semantics, using several different approaches. The IPL algorithm, which is based on results, divides the search space into elementary intervals by different prefixes for each dimension, and finds the best (longest) match for each such interval. Firewall statefulness is commonly imple ....etc

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Title: A Geometric approch to improve the active packet loss measurement
Page Link: A Geometric approch to improve the active packet loss measurement -
Posted By: Napa ramakishore
Created at: Sunday 28th of March 2010 03:54:37 PM
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Title: GEOMETRIC APPROACH TO IMPROVING ACTIVE PACKET LOSS MEASUREMENT-NETWORKING
Page Link: GEOMETRIC APPROACH TO IMPROVING ACTIVE PACKET LOSS MEASUREMENT-NETWORKING -
Posted By: electronics seminars
Created at: Wednesday 13th of January 2010 09:47:18 AM
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GEOMETRIC APPROACH TO IMPROVING ACTIVE PACKET LOSS MEASUREMENT-NETWORKING

Abstract: Measurement and estimation of packet loss characteristics are challenging due to the relatively rare occurrence and typically short duration of packet loss episodes. While active probe tools are commonly used to measure packet loss on end-to-end paths, there has been little analysis of the accuracy of these tools or their impact on the network. The objective of our study is to understand how to measure packet loss episodes accurately with end-to-end probes. ....etc

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Title: the geometric efficient matching algorithm for firewalls modules
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Posted By:
Created at: Sunday 09th of February 2014 05:28:31 PM
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Title: geometric approach for measuring packet loss
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Posted By: uday kumar
Created at: Wednesday 21st of April 2010 01:14:41 AM
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Title: DEVELOPMENT OF ALGORITHM FOR OBJECT RECOGNITION BY MEANS OF TEMPLATE MATCHING AND DE
Page Link: DEVELOPMENT OF ALGORITHM FOR OBJECT RECOGNITION BY MEANS OF TEMPLATE MATCHING AND DE -
Posted By: seminar surveyer
Created at: Wednesday 29th of December 2010 03:32:10 PM
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ABSTRACT

Template matching is an object detection technique in image processing to find small parts of an image which match a template image. There are many methods one can adopt for this purpose.

Matching can be Template based, in which case every pixel that contributes to the template may be matched against every pixel of the image using any means of comparison (eg. SAD, SSD, cross-correlation), or it can me Feature based, where the matching is on the basis of some strong features that the template ma ....etc

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Title: GEOMETRIC APPROACH TO IMPROVING ACTIVE PACKET LOSS MEASUREMENT
Page Link: GEOMETRIC APPROACH TO IMPROVING ACTIVE PACKET LOSS MEASUREMENT -
Posted By: computer science crazy
Created at: Friday 18th of September 2009 12:33:58 AM
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GEOMETRIC APPROACH TO IMPROVING ACTIVE PACKET LOSS MEASUREMENT

Abstract: Measurement and estimation of packet loss characteristics are challenging due to the relatively rare occurrence and typically short duration of packet loss episodes. While active probe tools are commonly used to measure packet loss on end-to-end paths, there has been little analysis of the accuracy of these tools or their impact on the network. The objective of our study is to understand how to measure packet loss episodes accurately with end-to-end probes. We begin by ....etc

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Title: IMPLEMENTATION OF HAMMING-CUT-MATCHING ALGORITHM IN IRIS RECOGNITION
Page Link: IMPLEMENTATION OF HAMMING-CUT-MATCHING ALGORITHM IN IRIS RECOGNITION -
Posted By: seminar class
Created at: Wednesday 16th of March 2011 01:14:30 PM
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ABSTRACT
This paper deals with the basics of iris, its properties and how it adds some advantageous features to recognize the correct person. In this paper we discuss the details regarding the information about how the iris is located, to distinguish it from other parts of the eye, how the scanner scans the whole pattern of the iris while enrolling and matching and how the scanned patterns are converted into 256 bytes of data so that it can be stored in the database. We compare the iris codes of th ....etc

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