75392 research outputs found
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Efekty pamięciowe w przetworniakach ciekłokrystalicznych pod wpływem wiązek zapisujących o małej mocy
score: 3collation: 25-2
Histogramowe metody poprawy percepcji obszarów hypodensyjnych w badaniach mózgu techniką tomografii komputerowej
score: 0collation: 27-3
Distributed Reputation Management in Colaborative Environment of Anonymous MANETs
abstractEN: Mobile ad hoc networks (MANET) due to its innate capabilities of instant communication in many time and mission critical applications recently received a significant researchers' attention. For already identified security vulnerabilities in a wireless environment, such as MANET, a set of countermeasures were proposed. However, only a few of them provide an anonymity guaranty which is an orthogonal to security critical challenge we faced in this paper. We present a new distributed reputation system designed for the anonymous authentication protocol in mobile ad hoc networks (ANAP). The reputation system is incorporated for a trust management and malicious behavior detection in the network where an anonymity support is a major objective. An evaluation of the reputation model is conducted with simulation results based on OMNeT++ environment.score: 0collation: 1028-103
Laboratoryjne źródło modulowanego impulsowego sygnału ultraszerokopasmowego
score: 0collation: 445-44
Coronary Blood Flow measurement from X-ray Images: Experiment Performed on the Artery Model
score: 0collation: 157-16
Functional decomposition with an efficient input support selection for sub-functions based on information relationship measures
abstractEN: The functional decomposition of binary and multi-valued discrete functions and relations has been gaining more and more recognition. It has important applications in many fields of modern digital system engineering, such as combinational and sequential logic synthesis for VLSI systems, pattern analysis, knowledge discovery, machine learning, decision systems, data bases, data mining etc. However, its practical usefulness for very complex systems has been limited by the lack of an effective and efficient method for selecting the appropriate input supports for sub-systems. In this paper, a new effective and efficient functional decomposition method is proposed and discussed. This method is based on applying information relationship measures to input support selection. Using information relationship measures allows us to reduce the search space to a manageable size while retaining high-quality solutions in the reduced space. Experimental results demonstrate that the proposed method is able to construct optimal or near-optimal supports very efficiently, even for large systems. It is many times faster than the systematic support selection method, but delivers results of comparable quality.score: 20collation: 137-15
Nonlinear Image Reconstruction with EM Algorithm in Electrical Capacitance Tomography
score: 0collation: 651-65