about.jpg

Filter by

An innovative approach for the wormhole attack detection and prevention in wireless ad hoc networks

Due to their diverse applications, ad hoc networks are appealing for use in many domains. However, their features of open medium, absence of infrastructure, dynamic changing network topology, cooperative algorithms, lack of centralized monitoring and management point, resource constraints and lack of a clear line of defense, they are vulnerable to many attacks. Therefore, there is a major concern

Artificial Intelligence

Fuzzy gaussian classifier for combining multiple learners

In the field of pattern recognition multiple classifier systems based on the combination of outputs from different classifiers have been proposed as a method of high performance classification systems. The objective of this work is to develop a fuzzy Gaussian classifier for combining multiple learners, we use a fuzzy Gaussian model to combine the outputs obtained from K-nearest neighbor classifier

Artificial Intelligence
Circuit Theory and Applications

Microsimulation approach to evaluate the use of restricted lefts/through U-turns at major intersections - A case study of Cairo-Egypt urban corridor

The V-turn is an access management technique for at-grade intersection treatments; reducing conflicts and improving safety along arterial roads. The V-turn is mainly used as an alternative to direct left turns at intersections by replacing the full median opening with a directional median opening; this solution is called restricted lefts u-turn intersection treatment (Restricted Lefts V-turn). A

Strain-encoded CMR for the detection of inducible ischemia during intermediate stress

Objectives: This study sought to evaluate the diagnostic accuracy of strain-encoded cardiac magnetic resonance (SENC) for the detection of inducible ischemia during intermediate stress. Background: High-dose dobutamine stress cardiac magnetic resonance (DS-CMR) is a well-established modality for the noninvasive detection of coronary artery disease (CAD). However, the assessment of cine scans

Software and Communications
Innovation, Entrepreneurship and Competitiveness

Compact TSV modeling for low power application

[No abstract available]

Circuit Theory and Applications

Behavioral modeling of the static transfer function of ADCs using INL measurements

In this paper, we present a modeling approach for analog-to-digital converters (ADCs) based on modeling the static transfer function using integral nonlinearity (INL) measurements. The methodology relies on applying a Fast Fourier Transform (FFT) test to the output of a real ADC circuit and extracting the significant harmonics. These are used in a behavioral functional model to approximate the INL

Circuit Theory and Applications

Segmentation of left ventricle in cardiac MRI images using adaptive multi-seeded region growing

Multi-slice short-axis acquisitions of the left ventricle are fundamental for estimating the volume and mass of the left ventricle in cardiac MRI scans. Manual segmentation of the myocardium in all time frames per each cross-section is a cumbersome task. Therefore, automatic myocardium segmentation methods are essential for cardiac functional analysis. Region growing has been proposed to segment

Artificial Intelligence
Healthcare

Fast localization of the optic disc using projection of image features

Optic Disc (OD) localization is an important pre-processing step that significantly simplifies subsequent segmentation of the OD and other retinal structures. Current OD localization techniques suffer from impractically-high computation times (few minutes per image). In this work, we present a fast technique that requires less than a second to localize the OD. The technique is based upon obtaining

Healthcare
Software and Communications

A GPU-enabled solver for time-constrained linear sum assignment problems

This paper deals with solving large instances of the Linear Sum Assignment Problems (LSAPs) under realtime constraints, using Graphical Processing Units (GPUs). The motivating scenario is an industrial application for P2P live streaming that is moderated by a central tracker that is periodically solving LSAP instances to optimize the connectivity of thousands of peers. However, our findings are

Artificial Intelligence
Software and Communications

Cooperation incentives in wireless ad hoc networks

Mobile ad hoc networks heavily rely on nodes' cooperation for packet forwarding. As a result, misbehaving, malicious, and selfish nodes can significantly degrade the performance of the network. To cope with this issue and to stimulate cooperation among selfish mobile nodes, a continuous research effort is done on identifying nodes trust and reputation. In this paper, we survey recently proposed

Artificial Intelligence
Software and Communications