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application of graph theory in real life ppt


Posted by:
Created at: Sunday 27th of January 2013 02:19:39 AM
Last Edited Or Replied at :Monday 28th of July 2014 07:08:34 AM
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I need an article for Application of graph theory in real life problem to sub..................[:=> Show Contents <=:]



pill camera


Posted by: seminar class
Created at: Tuesday 08th of March 2011 04:22:45 AM
Last Edited Or Replied at :Sunday 04th of August 2013 12:26:31 PM
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manufacturing technology is to manufacture products at molecular level. The technology used to achieve manufacturing at molecular level is “NANOTECHNOLOGY”.
Nanotechnology is the creation of useful materials, devices and system through manipulation of such miniscule matter (nanometer)..Nanotechnology deals with objects measured in nanometers. Nanometer can be visualized as billionth of a meter or millionth of a millimeter or it is 1/80000 width of human hair.
HISTORICAL OVERVIEW:
Manipulation of atoms is first talked about by noble laureate Dr.Richard Feyngman long ago in 1959 ..................[:=> Show Contents <=:]



An application of genetic algorithm for edge detection of molten pool in fixed pipe w


Posted by: projectsofme
Created at: Saturday 09th of October 2010 01:12:10 AM
Last Edited Or Replied at :Saturday 09th of October 2010 01:12:10 AM
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s of pipe structures for ocean exploration, water and oil pipe lines, etc., are increasing, the requirements for greater productivity, higher weld quality, reduced cost, and accuracy in manufacturing these structures are also increasing. There are many problems in automating arc welding processes such as sensing, monitoring, and line tracking. The difficulty in the welding process related to nonlinear and multivariable-coupled welding involves many uncertainties, such as influences of metallurgy, heat transfer, chemical reaction, arc physics, and magnetization . In fixed-pipe welding, compared..................[:=> Show Contents <=:]



AN APPLICATION OF MORPHOLOGICAL IMAGE PROCESSING TO FORENSICS full report


Posted by: project report maker
Created at: Monday 05th of July 2010 05:58:45 AM
Last Edited Or Replied at :Monday 05th of July 2010 05:58:45 AM
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ingerprint Enhancement and reduction of noise in finger print images.

DIGITAL IMAGE PROCESSING:-

Digital image processing involves the manipulation and interpretation of digital images with the aid of a computer and it is an extremely broad subject and it often involves procedures, which can be mathematically complex.
The central idea behind is quite simple. The digital image is fed in to the computer one pixel at a time. The computer is programmed to insert the data in to an equation or series of equations, and then store the results that may display or further processed. Digi..................[:=> Show Contents <=:]



AN APPLICATION OF MORPHOLOGICAL IMAGE PROCESSING TO FORENSICS


Posted by: project topics
Created at: Friday 02nd of April 2010 01:29:19 AM
Last Edited Or Replied at :Thursday 18th of October 2012 02:23:36 AM
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mage Processing the original image can be reconstructed by using Dilation, Erosion, Opening and Closing operations for ..................[:=> Show Contents <=:]



javaring seminar report


Posted by: electronics seminars
Created at: Friday 01st of January 2010 12:39:56 AM
Last Edited Or Replied at :Thursday 15th of March 2012 04:04:43 AM
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idually selected from among many that can be connected to the same bus wire. Because one, two, or even dozens of 1-Wire devices can share a single wire for communications, a binary searching algorithm is used to find each device in turn. Once each device serial number is known, any device can be uniquely selected for communication using that serial number to address it. The first part of any communication involves the bus master issuing a reset which synchronizes the entire bus. A slave device is then selected for subsequent communications. This can be done by selecting all slaves, selecting..................[:=> Show Contents <=:]



Digit Recognition using Neural Network


Posted by: Electrical Fan
Created at: Saturday 14th of November 2009 05:33:37 AM
Last Edited Or Replied at :Thursday 19th of January 2012 10:33:35 PM
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s provided by writers of various ages with many different sizes and writing styles. Numerals poorly drawn or cannot be classified are rejected. A very high recognition rate, even above 90% could be obtained while using neural network..................[:=> Show Contents <=:]



Neural Networks for Unicode Optical Character Recognition


Posted by: computer science crazy
Created at: Thursday 17th of September 2009 11:57:50 AM
Last Edited Or Replied at :Thursday 20th of October 2011 11:29:03 PM
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utput to one of nearby values if a variation of input is fed to the network that it is not trained for, thus solving the proximity issue. Both concepts will be discussed in the introduction part of this report.The project has employed the MLP technique mentioned and excellent results were obtained for a number of widely used font types. The technical approach followed in processing input images, detecting graphic symbols, analyzing and mapping the symbols and training the network for a set of desired Unicode characters corresponding to the input images are discussed in the subsequent sections...................[:=> Show Contents <=:]



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