Spatial frequency (SF) components encode a portion of the affective value expressed in face images. The aim of this study was to estimate the relative weight of specific frequency spectrum bandwidth on the discrimination of anger and fear facial expressions. The general paradigm was a classification of the expression of faces morphed at varying proportions between anger and fear images in which...

The mobile robot localization problem is decomposed into two stages; attitude estimation followed by position estimation. The innovation of our method is the use of a smoother, in the attitude estimation loop that outperforms other Kalman ter based techniques in estimate accuracy. The smoother exploits the special nature of the data fused; high frequency inertial sensor (gyroscope) data and low...

In this paper we consider the problem of localizing a mobile robot on uneven terrain. The localization problem is decomposed into two stages; attitude estimation followed by position estimation. The innovation of our method is the use of a smoother, in the attitude estimation loop that outperforms other Kalman lter based techniques in estimate accuracy. The smoother exploits the special nature ...

Complex demodulation of evolutionary spectra is formulated as a twodimensional kernel smoother in the time-frequency domain. In the first stage, a tapered Fourier transform, yν(f, t), is calculated. Second, the log-spectral estimate, θ̂ν(f, t) ≡ ln(|yν(f, t)|2), is smoothed. As the characteristic widths of the kernel smoother increase, the bias from temporal and frequency averaging increases whi...

Severe sepsis and septic shock are major problems as the result of high rates morbidity andmortality in intensive care units (ICUs). In the presence of septic shock, each hour of delay inthe administration of effective antibiotics is associated with a measurable increase in mortality.Aminoglycosides are effective broad-spectrum antibiotics that are commonly used in ICUs forthe treatment of life...

Fuzzy control is one of the most important parts of fuzzy theory for which several approaches exist. Mamdani uses $alpha$-cuts and builds the union of the membership functions which is called the aggregated consequence function. The resulting function is the starting point of the defuzzification process. In this article, we define a more natural way to calculate the aggregated consequence funct...