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## application of graph theory in real life pptPosted 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 | application of graph theory in real life ,
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I need an article for Application of graph theory in real life problem to submit a paper presenta..................[:=> Show Contents <=:] | |||

## pill cameraPosted 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 | pill camera,
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was laughed about. Nothing was pursued init till 80’s. The concept of nanotechnology is introduced
by Drexler in the year 1981 through his article “The Engines of Creation”. In 1990, IBM
researchers showed that it is possible to manipulate single atoms. They positioned 35 Xenon atoms on
the surface of nickelcrystal, using an atomic force microscopy instrument. These positioned atoms
spelled out the letters”IBM”. MANUFACTURING PRODUCTS USING NANOTECHNOLOGY:There are three steps to achieving nanotechnology-produced goods: Atoms are the building blocks for all matter in our .................. [:=> Show Contents <=:] | |||

## An application of genetic algorithm for edge detection of molten pool in fixed pipe wPosted 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 | genetic algorithm disadvantages,
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diameter pipes progresses. Therefore, in order to avoid defects during aluminum pipe welding and to
obtain uniform weld bead over the entire circumference of the pipe, the welding conditions should be
controlled as the welding proceeds. Since the early 1960s, sensing and control systems have been
successfully implemented in applications where the sensor could be placed on the backside of the
weld and moved in synchronism with the welding torch . The development of intelligent control
systems has been conducted for modeling and controlling the welding process as they used neural
network and fuz..................[:=> Show Contents <=:] | |||

## AN APPLICATION OF MORPHOLOGICAL IMAGE PROCESSING TO FORENSICS full reportPosted 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 | morphological image processing ppt,
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t regions larger. Erosion will also tend to eliminate small extrusions on a regions boundaries. The result of erosion depends on Structuring element size with larger Structuring elements having a more pronounced effect & the result of Erosion with a large Structuring element is similar to the result obtained by iterated Erosion using a smaller structuring element of the same shape. Erosion is the Morphological operation, it can be performed on Binary and Grey images. It helps in extracting the inner boundaries of a given image. For Binary Images:- Erosion operation is defined as follow.................. [:=> Show Contents <=:] | |||

## AN APPLICATION OF MORPHOLOGICAL IMAGE PROCESSING TO FORENSICSPosted 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 | hands on morphological image processing,
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on studying geometry structure of image. We can find relationship between each part of image When processing image with morphological theory. Accordingly we can comprehend the structural character of image in the morphological approach an image is analyzed in terms of some predetermined geometric shape known as structuring element. Morphological processing is capable of removing noise and clutter as well as the ability to edit an image based on the size and shape of the objects of interest. Morphological Image Processing is used in the place of a Linear Image Processing, because it sometimes.................. [:=> Show Contents <=:] | |||

## javaring seminar reportPosted 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 | javaring seminar report ,
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automatically unlock doors and log on to computers. This java based technique overcomes the
deficiencies of the secret password. A Java Ring is a finger ring that contains a small
microprocessor which runs JVM and is preloaded with applets. The jewel of Java Ring is Java iButton,
which is a microchip enclosed in a secure package. There are many technologies similar to iButton.
But there is no match for this technology. A Java Ring goes beyond a traditional smart card by
providing real memory, more power, and a capacity for dynamic programming. iButtons have an
advantage over smart cards in t..................[:=> Show Contents <=:] | |||

## Digit Recognition using Neural NetworkPosted 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 | neural network error function,
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ndwritten digits 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 RecognitionPosted 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 | Protocol,
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ting their weights. Such learning rules are termed as Supervised Learning. One such network with supervised learning rule is the Multi-Layer Perceptron (MLP) model. It uses the Generalized Delta Learning Rule for adjusting its weights and can be trained for a set of input/desired output values in a number of iterations. The very nature of this particular model is that it will force the output 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.................. [:=> Show Contents <=:] |

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