Robust clustering of data into overlapping linear subspaces is a common problem. Here we consider one-dimensional subspaces that cross the origin. This problem arises in blind source separation, where the subspaces correspond directly to columns of a mixing matrix. We present an algorithm that identifies these subspaces using an EM procedure, where the E-step calculates posterior probabilities ...

Reliable estimation of the porous membranes neck-pore size distribution (NPSD) is the key element in the design and operation of all membrane separation processes. In this paper, a new approach is presented for reliable of NPSD of porous membranes using wet flow-state bubble point test data. For this purpose, a robust method based on the linear regularization theory is developed to extract NPSD...

co2/ch4 gas separation is a very important applicatable process in upgrading the natural gas and landfil gas recovery. in this work, to investigate the membrane separation process performance, the gas permeation results andco2/ch4 separation characteristics of different prepared membranes (via blending different molecular weights of polyethylene glycol (peg) as a modifier with acrylonitrile-but...

Hippocampus is a part of the brain that has an essential role in memory and learning. It is involved in many cognitive and behavioral phenomena, including the pattern separation process: the ability to distinguish patterns with very high similarity. The present study compared the models of pattern separation in the dentate gyrus of the hippocampus and aimed to investigate the significant cel...

Flow separation at water intake is the main cause of head loss and flow discharge reduction. &#10As a result, study of shape and size of separation is very essential when designing an optimum water intake. Water intake is normally built with a 90 degree angle to the main channel flow direction. However, the flow structure in this type of water intake consists of large separation size along wit...