A parametric model order reduction (MOR) approach for simulating high-dimensional models arising in financial risk analysis is proposed on the basis of proper orthogonal decomposition (POD) to generate small approximations convection-diffusion reaction partial differential equations (PDE). The technique uses an adaptive greedy sampling based surrogate modeling efficiently locate most relevant t...

Human error identification systems have been criticised for failing to consider the problems of operational incident investigators and system developers. Increasingly esoteric human error modelling and classification approaches have often been met with resistance from the potential user groups that could apply them with the greatest impact. In order to improve the transfer of this technology, e...

Human errors are regarded as one of the main causes for railway accidents these days. In spite of this fact, the consideration of human error probabilities in quantified risk analyses has been very rudimentary up to now. A lack of comprehensive data and analyses in literature lead to the use of estimations and values from other industries. This paper discusses the transferability of human error...

|This work extends the error reduction properties of frames to an error correcting routine. It leads to complete noise removal for sparse noise for a class of frames. The results for images using Laplacian pyramids show an additional 10dB improvement over the previously demonstrated noise reduction for frames. Keywords|Frames, pyramids, noise reduction, error correction, redundancy