4,294 research outputs found
Design of in-building wireless networks deployments using evolutionary algorithms
In this article, a novel approach to deal with the design of in-building wireless networks deployments is proposed. This approach known as MOQZEA (Multiobjective Quality Zone Based Evolutionary Algorithm) is a hybr id evolutionary algorithm adapted to use a novel fitness function, based on the definition of quality zones for the different objective functions considered. This approach is conceived to solve wireless network design problems without previous information of the required number of transmitters, considering simultaneously a high number of objective functions and optimizing multiple configuration parameters of the transmitters
A Modified Fourier-Mellin Approach for Source Device Identification on Stabilized Videos
To decide whether a digital video has been captured by a given device,
multimedia forensic tools usually exploit characteristic noise traces left by
the camera sensor on the acquired frames. This analysis requires that the noise
pattern characterizing the camera and the noise pattern extracted from video
frames under analysis are geometrically aligned. However, in many practical
scenarios this does not occur, thus a re-alignment or synchronization has to be
performed. Current solutions often require time consuming search of the
realignment transformation parameters. In this paper, we propose to overcome
this limitation by searching scaling and rotation parameters in the frequency
domain. The proposed algorithm tested on real videos from a well-known
state-of-the-art dataset shows promising results
Pattern Recognition
A wealth of advanced pattern recognition algorithms are emerging from the interdiscipline between technologies of effective visual features and the human-brain cognition process. Effective visual features are made possible through the rapid developments in appropriate sensor equipments, novel filter designs, and viable information processing architectures. While the understanding of human-brain cognition process broadens the way in which the computer can perform pattern recognition tasks. The present book is intended to collect representative researches around the globe focusing on low-level vision, filter design, features and image descriptors, data mining and analysis, and biologically inspired algorithms. The 27 chapters coved in this book disclose recent advances and new ideas in promoting the techniques, technology and applications of pattern recognition
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