People can learn to control mu (8-12 Hz) or beta (18-25 Hz) rhythm amplitude in the EEG recorded over sensorimotor cortex and use it to move a cursor to a target on a video screen. In our current EEG-based brain-computer interface (BCI) system, cursor movement is a linear function of mu or beta rhythm amplitude. In order to maximize the participant's control over the direction of cursor movemen...

Support vector machines are trained by solving constrained quadratic optimization problems. This is usually done with an iterative decomposition algorithm operating on a small working set of variables in every iteration. The training time strongly depends on the selection of these variables. We propose the maximum-gain working set selection algorithm for large scale quadratic programming. It is...

supplier selection is one of the critical activities for firms to gain competitive advantage and achieve the objectives of the whole supply chain. in this paper based on a dea-topsis method for madm problems a flexible strategy for supplier selection is introduced

Antenna selection provides a low-cost low complexity solution for MIMO systems, in particular transmit antenna selection exploits partial knowledge of the channel that can be made available without excessive feedback bandwidth. In this work we explore information theoretic limits of transmit antenna selection for high SNR and large number of transmit antennas. We define the capacity gain as the...

A deterministic model based on the gene flow method, considering the features of Iranian Holstein cattle population, was implemented in this study to evaluate the effect of altering the number of age-classes in the dams of future sire (DS) path and the number of dams required for breeding a young bull (YB), to be evaluated as future sire, on genetic gain and resultant economic efficiency of a g...