Automatic road extraction from aerial images can be very helpful in traffic control and vehicle guidance systems. Most of the road detection approaches are based on image segmentation algorithms. Color-based segmentation is very sensitive to light changes and consequently the change of weather condition affects the recognition rate of road detection systems. In order to reduce the light change ...

We report observations of periodic oscillatory behavior of the angular selectivity, near the Bragg angle, in volume holographic gratings recorded in a new photopolymerizable glass with high refractive index modulation. We have detected the presence of overmodulation in the intensity distribution of the first diffraction order. The results reported here were achieved by incorporating in the phot...

Fingerprint liveness detection is aimed to detect if a fingerprint image, sensed by an electronic device, belongs to an alive fingertip or to be an artificial replica of it. Recent studies have shown that a fingerprint can be replicated and, if a clever attacker tries to evade the system, this is an issue. Accordingly, several countermeasures in terms of fingerprint liveness detection algorithm...

according to world health organization, breast cancer is one of the most deadly cancers occurred in women. therefore accurate diagnosis and prediction is important to decrease the high death rate. the aim of this paper is twofold. first, improving breast cancer detection accuracy using modified fuzzy logic (mfl) then improving the performance of mfl algorithm using gpu platform. the experimenta...

Nowadays, information plays an important role in organizations. Sensitive information is often stored in databases. Traditional mechanisms such as encryption, access control, and authentication cannot provide a high level of confidence. Therefore, the existence of Intrusion Detection Systems in databases is necessary. In this paper, we propose an intrusion detection system for detecting attacks...

This paper describes a planned program of investigation designed to determine what characteristics are signficant in predicting performance of students used as subjects in IT system penetration testing testbeds. In large part the experimental design replicates an earlier study by Jonsson et al., and extends that study to include factors describing the attacking subjects. In this way the propose...

In multispectral remote sensing, change detection is a central task for all kinds of monitoring purposes. We suggest a novel approach where the problem is formulated as a Bayesian labeling problem. Considering two registered images of the same scene but different recording time, a Bayesian probability for ' Change' and ' NoChange' is determined for each pixel from spectral as well as spatial fe...

Many techniques in speech processing require inference based on observations that are often noisy, incomplete or scarce. In such situations, it is necessary to draw on statistical techniques that themselves must be robust to the nature of the observations. The Bayesian method is a school of thought within statistics that provides such a robust framework for handling “difficult” data. In particu...

Pedestrian safety is a primary concern in transportation, especially in an urban environment. A variety of technologies, either infrastructure-based or vehicle-based, have evolved and emerged in recent years that offer promising prospects for detecting pedestrians. The sensing technologies can be utilized in the implementation of pedestrian collision warning systems. In these systems, timely wa...