The frequent occurrence of forest fires in recent years has not only seriously damaged the forests’ ecological environments but also threatened safety public life and property. Smoke, as main manifestation flame before it is produced, advantage a wide diffusion range that easily obscured. Therefore, timely detection fire smoke with better real-time for early warnings wins valuable time firefigh...

The article deals mainly with objective comparisons of pitch-detection algorithms (PDAs) in area of speech signals processing. For this purpose evaluation framework was developed using for comparisons reference pitch database. A set of objective criteria was established too. All tested algorithms are also briefly described, new method MNFBC is presented in detail. Results show the biggest bottl...

Recent research shows that estimating labels and graph structures simultaneously in Markov random Fields can be achieved via solving LP problems. The scalability is a bottleneck that prevents applying such technique to larger problems such as image segmentation and object detection. Here we present a fast message passing algorithm based on the mixed-integer bilinear programming formulation of t...

Given an instance of the minimum cost flow problem, a version of the corresponding inverse problem, called the capacity inverse problem, is to modify the upper and lower bounds on arc flows as little as possible so that a given feasible flow becomes optimal to the modified minimum cost flow problem. The modifications can be measured by different distances. In this article, we consider the capac...

For complex perceptual tasks that are characterized by object occlusion and non-stationarity, recognition systems with adaptive signal processing front-ends have been developed. These systems rely on hand-crafted symbolic object models, which constitutes a knowledge acquisition bottleneck. We propose an approach to automate object model acquisition that relies on the detection and resolution of...

Smart antennas can be used to increase the capacity, the link quality and the coverage of existing and future cellular mobile communication networks. Several sophisticated uplink algorithms have been proposed for beamforming and signal detection. But downlink beamforming seems to be the bottleneck of the applicability of adaptive antennas in cellular mobile communication systems. Obviously, a s...

Intrusion detection in the internet is an active area of research. Intruders can be classified into two types, namely; external intruders who are unauthorized users of the computers they attack, and internal intruders, who have permission to access the system but with some restrictions. The aim of this paper is to present a methodology to recognize attacks during the normal activities in a syst...

In this paper, a biologically inspired multilevel approach for simultaneously detecting multiple independently moving targets from airborne forward-looking infrared (FLIR) sequences is proposed. Due to the moving platform, low contrast infrared images, and nonrepeatability of the target signature, moving targets detection from FLIR sequences is still an open problem. Avoiding six parameter affi...