An important task in signal processing and temporal data mining is time series segmentation. In order to perform tasks such as time series classification, anomaly detection in time series, motif detection, or time series forecasting, segmentation is often a pre-requisite. However, there has not been much research on evaluation of time series segmentation techniques. The quality of segmentation ...

We consider the problem of the characterization of beams by moments of the field intensity in the aperture and its moments in the far field. The well known beam propagation factor, M2 P , is considered. We give convergence criteria for these factors and also discuss a new approach to optimization of the even moments of the far-field intensity.

Working Papers are interim reports on work of the International Institute for Applied Systems Analysis and have received only limited review. Views or opinions expressed herein do not necessarily represent those of the Institute, its National Member Organizations, or other organizations supporting the work. Abstract Since the early 1980's, the Food and Agriculture Organization of the United Nat...

Software and applications are subjected to serious and damaging security threats, these threats are increasing as a result of increased number of potential vulnerabilities. Security testing is an indispensable process to validate software security requirements and to identify security related vulnerabilities. In this paper we analyze and compare different available vulnerabilities testing techn...

The image segmentation problem is to delineate, or segment, a salient feature in an image. As such, this is a bipartition problem with the goal of separating the foreground from the background. An NP-hard optimization problem, the Normalized Cut problem, is often used as a model for image segmentation. The common approach for solving the normalized cut problem is the spectral method which gener...

Analysis of denoised speech using enhancement algorithms shows the presence of two kinds of degradation: speech distortion and residual background noise. Due to the fact that objective criteria are not able to evaluate separately them, we tested one composite criteria and we proposed a novel couple separating speech distortion and residual background noise. Firstly, we show the ability of propo...