Contrary to the traditional system order reduction methods which, because of reducing the system order, also reduce the number of its parameters, the use of fractional models leads to models using only very few parameters, but of infinite dimension, because of their "long memory" characteristics.
These ideas are then applied to a generic satellite system, using TAMs generated by the Static, Modal and Improved Reduced System (IRS) reduction methods.
We present a systematic approach to developing a scoring system, data reduction methods, and psychometric analysis for subscales.
In terms of the feature that the nonlinear bearing forces act on the system, a reduction method and corresponding integration technique is used to increase the numerical stability and decrease computer time for system analysis.
Film elastic modulus as a function of film thickness is obtained from tensile tests of the film/substrate system and data reduction methods based on a proposed bimaterial model and finite element analysis.
In systems biology, ad hoc reduction methods have been applied to signal transduction [ 11] and to clocks [ 12, 13].
For biochemical systems many of the reduction methods aim at analyzing the steady state behavior either heuristically [ 3] or employing mathematical analysis (e.g. sensitivities [ 4, 5]).
From these results we refine design parameters for the spectrometer vacuum system and propose active background reduction methods to meet the stringent design limits for the overall background rate.
The extensive literature review exhibits that the big data reduction methods and systems have potential to deal with the big data complexity at both algorithms and systems level.
Using this recording system and artifact reduction method, we have demonstrated that simultaneous EEG/fMRI studies are for the first time possible, extending the scope of EEG/fMRI studies considerably.
