Dynamic Adaptive Streaming over HTTP (DASH) is a video streaming standard developed in 2011; the servers have several copies of every video at different bitrates, leaving the clients complete freedom to choose the bitrate of each segment and adapt to the available bandwidth. The research on client-side strategies to optimize user Quality of Experience (QoE) is ongoing; one of the most promising...

Recent results of forgery detection by implementing biometric signature verification methods are promising. At present, forensic signature verification in daily casework is performed through visual examination by trained forensic handwriting experts, without reliance on computerassisted methods. With this competition on onand offline skilled forgery detection, our objective is to make a first s...

Localization is essential part of network control in many ad-hoc and sensor network applications. Many localization scenarios handle just simple, uniform and isotropic network structures and often some localization aware nodes called anchors or beacons are needed. Here we present a geometry-aware localization algorithm, what can operate in unisotropic networks that have complex topology. To all...

This paper presents support vector regression (SVR)-based adaptive controller for the longitudinal dynamics of a generic hypersonic aircraft. SVR has been proven to generate global solutions contrary to neural networks, because SVR basically solves quadratic programming (QP) problems. With this advantage, the nominal dynamics of the input-output feedback-linearized hypersonic airplane is traine...

This paper presents a novel modified particle swarm optimization algorithm (MPSO) for both offline and online parametric identification of dynamic models. The MPSO is applied for identifying a suspension system introduced by a quarter-car model. A novel mutation mechanism is employed in MPSO to enhance global search ability and increase convergence speed of basic PSO (BPSO) algorithm. MPSO opti...

We developed a system that automatically authenticates offline handwritten signatures using the discrete Radon transform (DRT) and a hidden Markov model (HMM). Given the robustness of our algorithm and the fact that only global features are considered, satisfactory results are obtained. Using a database of 924 signatures from 22 writers, our system achieves an equal error rate (EER) of 18% when...

Traditionally, cerebellar model articulation controller (CMAC) is used in motor control, inverted pendulum robot, and nonlinear channel equalization. In this study, we investigate the capability of CMAC for speech enhancement. We construct a CMAC-based supervised speech enhancement system, which includes offline and online phases. In the offline phase, a paired noisy-clean speech dataset is pre...