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Year: 2013, Volume: 13, Number: 2
... . Springer, 2008. Micro-Cap [5] K. Zaplatilek, "Analogue filter group delay optimization using a 10 stochastic approach," International Journal of Numerical Modelling, 2010, vol. 23, no. 3, pp. 215-230. 5 [6] R. Storn, "Differential Evolution Design of an ...
Year: 2014, Volume: 14, Number: 4
... . 33-47. [12] Roy Ben-Shalom, Amit Aviv, Benjamin Razon, Alon Korngreen, new GBest and continue looking for better and better Optimizing ion channel models using a parallel genetic algorithm on positions. After processing for a while, all particles might graphical processors, Journal of Neuroscience Methods, Vol. 206, ...
Year: 2007, Volume: 7, Issue: 2
... current signature analysis, fault detection methods, incipient faults. I. INTRODUCTION The reduction of operational and maintenance costs is Figure 1. Schematic diagram of the laboratory model of the electrical continuously required of modern electrical drives system. drives systems using a wound rotor induction machine fed by a back-to- Sometimes is required to increase ...
Year: 2010, Volume: 10, Issue: 3
... space-frequency localization, maximum amplitude coefficients of each super tree, the multi-resolution display, linear computational complexity distance vector between two coefficients is computed. For and the excellent modeling related to Human Vision System embedding bit zero of the specified watermark, the values of (HVS) [7]. the distance vector elements are decreased ...
Year: 2010, Volume: 10, Issue: 1
... then integrated to obtain oriented control (FOC) is realized by using a flux observer the imposed rotor flux position (angle λr). based on the IM model with nonlinear parameters. The control For speeds over the nominal value, a field-weakening is extended to operate also in the field weakening region with an optimal rotor ...
Year: 2008, Volume: 8, Issue: 2
... patterns in data" and can be represented as in Fig. 1. I. FEATURE SELECTION AND NEURAL NETWORKS An artificial neural network (ANN) is a model that Selection Data mining Evaluation emulates a biologic neural network. An ANN is made up of thousands of artificial neurons; elements of non-linear processing that operate in ...
Year: 2013, Volume: 13, Number: 2
... Niš, Serbia zoran.peric@elfak.ni.ac.rs, jelena.nikolic@elfak.ni.ac.rs, velimirovic.lazar@gmail.com, miomir.stankovic@gmail.com, danijelaal@telekom.rs 1 Abstract — This paper proposes a novel model of the two- signal quality for the given bit rate. Lossless compression level scalar quantizer with extended Huffman coding. It is allows decreasing of bit rate ...
Year: 2010, Volume: 10, Issue: 2
... of the input bits of the distance spectrum. second digital filter as shown in Figure 1. The interleaver creates apparent randomness to the code II. THE SYSTEM MODEL USED IN THE SIMULATIONS (it is very unlikely that both component encoders would The turbo encoder used in the simulation is symmetrical produce low weight code words, ...
Year: 2014, Volume: 14, Number: 4
... show that the ridge pattern in and valleys [3]. The local ridge frequency f ij at point  i, j  fingerprint images can be locally modeled as a two- in a fingerprint image is the number of ridges per unit length dimensional sinusoidal signal and use the partial derivatives along a hypothetical segment centered ...
Year: 2010, Volume: 10, Issue: 2
... for Multi-Queries technique for choosing the logical unit of cache replacement Caching provides a mathematical description of the query that is adaptive and self-organizing. This prototype is a caching model. It defines CP-MQ notation as the set of combination of attributes that is accessed by the same class patterns derived from a set of class of multi-queries, ...
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