pls mail me this pls [email protected]
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solved examples on audio steganography using genetic algorithm

Abstract

Steganography is a technique used to transmit hidden information by modifying an audio signal in an imperceptible manner. The transmission must be possible in spite of subsequent imperceptible alterations (attacks) of the modified signal. We propose a novel approach of substitution technique of audio steganography. Using genetic algorithm, message bits are embedded into multiple, vague and higher LSB layers, resulting in increased robustness. The robustness specially woul ....etc

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can you provide clear explanation for the formulas used in adaptive fuzzy k mean clustering algorithm for image segmentation.. n how the calculations are done??? ....etc

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Abstract Mean-Shift (MS) is a powerful nonparametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets. In this paper, for the purpose of algorithmic speedup, we develop an agglomerative MS clustering method along with its performance analysis. Our method, namely Agglo-MS, is built upon an iterative query set compression mechanism which is motivated by the quadratic bounding optimization nature of MS algorithm. The whole framework can be efficiently implemente ....etc

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VEHICLE DYNAMICS

MATHEMATICAL ANALYSIS OF HYDROPNEUMATIC SUSPENSION SYSTEMS
Abstract:
Every one of us might have seen the heavy trucks running on the roads. These vehicles have efforts on their axles very close to the allowed limits, mainly driving on rough roads or during cornering. In this case, the use of conventional suspension systems like those using McPherson Struts, Multi Link Suspension, Trailing Arm Suspension, 4- bar suspension etc. can increase the axle s overload phenomena. Hydropneumatic suspension ....etc

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LEAST MEAN SQUARE ALGORITHM

Introduction
The Least Mean Square (LMS) algorithm, introduced by Widrow and Hoff in 1959 is an adaptive algorithm, which uses a gradient-based method of steepest decent . LMS algorithm uses the estimates of the gradient vector from the available data. LMS incorporates an iterative procedure that makes successive corrections to the weight vector in the direction of the negative of the gradient vector which eventually leads to ....etc

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To get full information or details of Clustering a data set using Fuzzy K mean algorithm please have a look on the pages

http://seminarsprojects.net/Thread-data-clustering-a-seminar-report

if you again feel trouble on Clustering a data set using Fuzzy K mean algorithm please reply in that page and ask specific fields in Clustering a data set using Fuzzy K mean algorithm ....etc

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Abstract

This paper presents a remotely controlled mobile robot able to work in an unstructured environment. The main constraint is represented by the communication time (Milan - Ploiesti), that was evaluated of two orders higher than the inner clock of the control system. This difficulty has been avoided by giving a short-term autonomy to the system. Namely, the control system was configured as a neural network on board of the robot that reacts to external stimuli. A copy of the network is in the remote control station. Here a workstation p ....etc

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hi
I need vhdl code for object tracking by mean_shift algorithm,
can you help me? ....etc

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Grayscale Image Retrieval using DCT on Row mean,
Column mean and Combination



Abstract

Today in the age of information explosion, how to search appropriate data from huge information
pool has become vital issue. Images have giant share in this information pool. Because of easy
availability of imaging devices, millions of images are being added to image pool every day. Image
retrieval deals with searching relevant images from large image database. The paper presents novel
image retrieval techniques bas ....etc

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