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Page Name: need MATLAB CODE for Brain tumor detection based on multi-parameter MRI image analys


Posted by: pranavi
Created at: Wednesday 09th of March 2011 12:14:58 PM
Last Edited Or Replied at :Thursday 05th of April 2012 09:20:50 AM
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mor i placed cursor at that place and observed the pixels at that place.

but i have many doubts there sir.that is how can i differ tumor located pixels from other pixels in the image and how to highlight that part only.

i don't know what to do from this step. as i am not getting that i moved to edge detection. that to i did not get properly.

i just tried this and i don't that is this is correct or not.


please help me in completing this project.i have review within two days.please please suggest some related code to this topic. here are the attachments related to this project.[990..................==> [ Click Here to Read More ]



Page Name: Fast convergemce algorithms for active noise control in vehicles


Posted by: Computer Science Professor
Created at: Thursday 30th of July 2009 05:44:34 AM
Last Edited Or Replied at :Thursday 30th of July 2009 05:44:34 AM
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When reference signal for the FxLMS algorithm is taken from an acoustic sensor convergence can be very slow due to great eigen value spread. Using a non acoustic sensor, Such as a tachometer, cancellation of narrow band noise in the sensed fundamental frequency and harmonically related ones can be achieved very fast, although other periodic noises and underline broad band noise will remain.




Backward prediction errors resulting at the various stages of an adaptive lattice predictor(ALP) represent a a time-domain orthogonalization of the input signal.An ALP structure, with the acous..................==> [ Click Here to Read More ]



Page Name: Seminar Report On SCALE-FREE NETWORK


Posted by: Computer Science Professor
Created at: Saturday 13th of June 2009 02:59:30 PM
Last Edited Or Replied at :Saturday 13th of June 2009 02:59:30 PM
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gion
throughout a population.
Any virus, disease or fad that is less infectious than that well-defined threshold
will inevitably die out, whereas those above the threshold will multiply
exponentially, eventually penetrating the entire system.
Recently, though, Romualdo Pastor-Satorras of the Polytechnic University of
Catalonia in Barcelona and Alessandro Vespigniani of the International Center
for Theoretical Physics in Trieste, Italy, reached a disturbing conclusion.Page 15

DEPARTMENT OF COMPUTER SCIENCE, CUSAT
15
They found that in a scale-free network the threshold is zero. Tha..................==> [ Click Here to Read More ]



Page Name: Impact of Node Mobility on Routing Protocols for Wireless Sensor Networks


Posted by: Computer Science Professor
Created at: Saturday 13th of June 2009 02:19:10 PM
Last Edited Or Replied at :Thursday 04th of March 2010 12:45:28 PM
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e scenarios. We, continuing the work on this
area to get the optimized version of ad-hoc routing protocols
well suited for mobile WSNs.
A
CKNOWLEDGMENT
The authors would like to thank Dr G Athithan for his
significant contribution to the original proposal that led to the
creation of this project, and Mr. Jiby J Puthiyedam for his
comments on the first draft of this document.
R
EFERENCES

F Akylidiz, W. Su, Y Sankarasubramanyam, and E. Cayirci, Wireles
Sensor Network: a survey, Computer Networks, Vol. 38 N0. 4,
2002, pp. 393-422

Carlos de Morrais Codeiro, Dhrarma Prakash ..................==> [ Click Here to Read More ]



Page Name: image compression


Posted by: Computer Science Professor
Created at: Saturday 06th of June 2009 02:50:26 PM
Last Edited Or Replied at :Saturday 26th of May 2012 04:40:40 AM
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ABSTRACT This paper aims at providing an efficient solution for image compression technique using Wavelet-based coding technique. The quality of compression lies only in the selection of wavelet filter and the decomposition level. This technique comprises of both the quantization and encoding. As both the processes are carried out in short time the reliability in compressing an image will be high by Fast Image Compression Technique. Since the truncation of the redundant data there is no any notable difference between the original image and synthesized image. This algorithm is not much complex ..................==> [ Click Here to Read More ]



Page Name: Passive Millimeter-Wave


Posted by: computer science crazy
Created at: Tuesday 07th of April 2009 01:15:52 PM
Last Edited Or Replied at :Tuesday 07th of April 2009 01:15:52 PM
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n eye responds to different wavelengths of scattered light by seeing different colors. In the absence of sunlight, however, the natural emissions from Earth objects (at about 300 K) are concentrated in the IR regime. Advances in IR-sensor technology in the last 30 years have produced detectors sensitive in that frequency regime, making night vision possible. The exploitation of the millimeter-wave regime (defined to lie between 30 and 300 GHz, with corresponding wavelengths between 10 and 1 mm) follows as a natural progression in the quest to expand our vision. The great advantage of millimete..................==> [ Click Here to Read More ]



Page Name: Adaptive Piezoelectric energy harvesting circuit


Posted by: computer science crazy
Created at: Sunday 15th of February 2009 12:34:39 AM
Last Edited Or Replied at :Saturday 10th of October 2009 06:01:39 AM
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Introduction
This seminars describes an approach to harvesting electrical energy from a mechanically excited piezoelectric element. A vibrating piezoelectric device differs from a typical electrical power source in that it has a capacitive rather than inductive source impedance, and may be driven by mechanical vibrations of varying amplitude.

An analytical expression for the optimal power flow from a rectified piezoelectric device is derived, and an energy harvesting circuit is proposed which can achieve this optimal power flow. The harvesting circuit consists of an ac-dc rectifier with ..................==> [ Click Here to Read More ]



Page Name: An Efficient Algorithm for iris pattern Recognition using 2D Gabor Wavelet Trans


Posted by: computer science crazy
Created at: Sunday 21st of September 2008 01:06:40 AM
Last Edited Or Replied at :Monday 08th of July 2013 04:44:56 AM
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of authentication controls takes a giant step forward.

BIOMETRICS-AN OVERVIEW:
Biometrics is best defined as measurable physiological and/or behavioral characteristics that can be utilized to verify the identity of an indivisual. They include the following:
Iris scanning
Facial recognition
Fingerprint verification
Hand geometry
Retinal scanning
Signature verification
Voice verification

ADVANTAGES OF THE IRIS IDENTIFICATION:
Highly protected internal organ of the eye.
Iris patterns possess a high degree of randomness.
Variability: 244 degrees of freedom.
..................==> [ Click Here to Read More ]



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