Abstract :-
Many host-based anomaly detection techniques have been proposed to detect code-injection attacks on servers. The vastmajority, however, are susceptible to mimicry attacks in which the injected code masquerades as the original server software,including returning the correct service responses, while conducting its attack. Behavioral distance, by which two diverse replicasprocessing the same inputs are continually monitored to detect divergence in their low-level (system-call) behaviors and hencepotentially the compromise of one of t ....etc

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Detecting Patient Motion in SPECT Imaging Using Stereo Optical Cameras



1. Introduction
Patient motion causes many problems in SPECT imaging, such as blur and other motion artifacts. If patient motion is excessive, it may be necessary to repeat an acquisition, with consequent cost and inconvenience. Previous approaches to motion detection relied on inconsistency checks or motion tracking, or were limited to rigid body parts, such as the head. The goal of this work is to des ....etc

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Detecting Near-Replicas on the Web by Content and Hyperlink Analysis

The presence of near-replicas of documents is very common on the Web. Documents may be replicated completely or partially for different reasons (versions, mirrors, etc.), or the same resource can be associated to different URLs (dynamically generated pages, etc.). Whilst replication can improve information accessibility by the users, the presence of near-replicated documents can hinder the effectiveness of search engines (for example, decreasing the coverage).

We propose ....etc

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Presented By:
Debin Gao, Michael K. Reiter, Senior Member, IEEE Computer Society, and Dawn Song

Abstract—Many host-based anomaly detection techniques have been proposed to detect code-injection attacks on servers. The vast majority, however, are susceptible to “mimicry” attacks in which the injected code masquerades as the original server software,including returning the correct service responses, while conducting its attack. “Behavioral distance,” by which two diverse replicas processing the same inputs are continua ....etc

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palease send related projects ....etc

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Detecting Wide Lines Using Isotropic Nonlinear Filtering



Abstract:
Lines provide important information in images, and line detection is crucial in many applications. However, most of the existing algorithms focus only on the extraction of line positions, ignoring line thickness. This paper presents a novel wide line detector using an isotropic nonlinear filter. Unlike most existing edge and line detectors which use directional derivatives, our proposed wide line detector app ....etc

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Abstract
In this paper, a novel method of hybrid filter for denoising digital images corrupted
by mixed noise has been presented. The proposed design of hybrid filter utilizes the
concept of neuro fuzzy network and spatial domain filtering. This method incorporates
improved adaptive wiener filter and adaptive median filter to reduce white Gaussian noise
and impulse noise respectively. Selection of filters depends upon the performance of the
impulse noise detection process. The edge detector is capable of extracting edges from
fil ....etc

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MICROSTEPPING STEPPER MOTOR DRIVE USING PEAK DETECTING CURRENT CONTROL
1 INTRODUCTION
Microstepping a stepper motor may be used to achieve one or both of two objectives; 1) increase
the position resolution or 2) achieve smoother operation of the motor. In either case the basic theory
of operation is the same.
The simplified model of a stepper motor is a permanent magnet rotor and two coils on the stator
separated by 90 degrees, as shown in Figure 1. In classical full step operation an equal current is
delivered to each of ....etc

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hai friends if anybody had already done your project then please send me that ppt.. ....etc

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Abstract
Information hiding for covert communication is rapidlygaining momentum. With sophisticated techniques beingdeveloped in steganography, steganalysis needs to beuniversal. In this paper we propose Universal Steganalysisusing Histogram, Discrete Fourier Transform and SVM(SHDFT). The stego image has irregular statisticalcharacteristics as compare to cover image. Using Histogramand DFT, the statistical features are generated to train One-Class SVM to discriminate the cover and stego image.SHDFT algorithm is found to be efficient an ....etc

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