This paper describes human-in-the-loop research at NASA Ames Research Center on service provider-based automated separation assurance for the Next Generation Air Transportation System (NextGen). Key human/automation integration aspects such as levels of automation and roles and responsibilities of automated separation management are investigated in the Airspace Operations Laboratory. A trilogy ...

Fins, wings, blades and sails can generate lift drag in both attached separated flow conditions. However, the common understanding of generation mechanism holds only for In fact, when massive separation occurs, underlying assumptions thin airfoil theory lifting line are violated concept bound circulation cannot be applied. Therefore, there is a need to develop an intuitive force that does not r...

We consider a systems biology problem of reconstructing gene regulatory network from time-course gene expression microarray data, a special blind source separation problem for which conventional methods cannot be applied. Network component analysis (NCA), which makes use of the structural information of the mixing matrix, is a tailored method for this specific blind source separation problem. I...

We propose an approach called the Null Space Component Analysis (NCA) algorithm to solve the noisy blind source separation (BSS) problem. In a set of m linearly independent source signals, each signal is associated with a separating operator that includes the signal in its null space and repels other signals from the space. The signal model induced by the m operators represents the space where ...

A robust constrained blind source separation (CBSS) algorithm has been proposed for separation and localization of the P300 sources in schizophrenia patients. The algorithm is an extension of the Infomax algorithm, based on minimization of mutual information, for which a reference P300 signal is used as a constraint. The reference signal forces the unmixing matrix to separate the sources of bot...