As sensor networks edge closer towards wide-spread deployment



security issues become a central concern. Sensor networks have been identified as being useful in a variety of domains to include the battlefield and perimeter defense. So far, much research has focused on making sensor networks feasible and useful, and has not concentrated on security.
We present a suite of security building blocks optimized for resource constrained environments and wireless communication. SPINS has tw ....etc

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HARDWARE BASED EDGE DETECTION

INTRODUCTION:
Edge detection is fundamental tool used in most image processing applications to obtain information from the frames before feature extraction and object segmentation. This process detects outlines of an object and boundaries between objects and the background in the image. Beyond that, Edge Detection refers to the process of identifying and locating sharp discontinuities in intensities in an image. The discontinuities are abrupt changes in pixels intensity which characterize boundaries of objects ....etc

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ABSTRACT: The normal direction of the bone contour in computed tomography (CT) images provides important anatomical information and can guide segmentation algorithms. Since various bones in CT images have different sizes, and the intensity values of bone pixels are generally nonuniform and noisy, estimation of the normal direction using a single scale is not reliable. We propose a multiscale approach to estimate the normal direction of bone edges. The reliability of the estimation is calculated from the estimated results and, after re-scaling, ....etc

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EDGE Compact and EDGE Classic Packet Data Performance
Abstract
Even though cellular radio services have been extremely successful in providing untethered voice communications, wireless data services have captured only a limited market share so far. One obstacle for wireless data services is their limited peak bit rates. Existing wireless data rates, up to several tens of kb/s, may be over one order of magnitude short of what is required to make popular applications user-friendly. To accomplish these necessities we go for ....etc

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Face Detection in images : Neural networks & Support Vector Machines
ABSTRACT
Over the years, one of the many problems being dealt with by the computer-vision community is that of face detection and recognition in images. The applications of such a system are numerous, from automated security systems, census, intelligence information etc. In this report, we present our experience with two of the most successful techniques present today (,) and extensions of this work into other interesting applicati ....etc

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Hi.

can i get abstract for the following topic which has been given by you.

Regards
M.kumarS ....etc

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hi

skin cancer detection using neural networks matlab code

thanks ....etc

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EDGE Compact and EDGE Classic Packet Data Performance
Abstract
Even though cellular radio services have been extremely successful in providing untethered voice communications, wireless data services have captured only a limited market share so far. One obstacle for wireless data services is their limited peak bit rates. Existing wireless data rates, up to several tens of kb/s, may be over one order of magnitude short o ....etc

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ABSTRACT
Location prediction serves to save capacity on the air interface of mobile radio networks. A selection of neural networks of the feed-forward and feedback type are examined to prove their suitability for this purpose. As first results preferable network structures, input vectors, learning parameters and the simulated prediction probabilities are presented. A comparison with conventional methods shows the advantages and disadvantages of the use of neural networks for motion prediction. The results show that t ....etc

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ABSTRACT: The normal direction of the bone contour in computed tomography (CT) images provides important anatomical information and can guide segmentation algorithms. Since various bones in CT images have different sizes, and the intensity values of bone pixels are generally nonuniform and noisy, estimation of the normal direction using a single scale is not reliable. We propose a multiscale approach to estimate the normal direction of bone edges. The reliability of the estimation is calculated from the estimated results and, after re-scaling, ....etc

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