Zeolitic imidazolate frameworks (ZIFs), a subclass of metal organic frameworks, are built of tetrahedral metal ions bridged by imidazolates. They have permanent porosity and relatively high thermal and chemical stability, which make them attractive candidates for many industrial applications. In recent years, significant progress has been made in developing ZIFs into membranes and thin films fo...

This paper addresses the problem of blind separation of linear convolutive mixtures. We first reformulate the problem into a blind separation of linear instantaneous mixtures, and then a statistical approach is applied to solve the reformulated problem. From the statistics of the mixtures, two kinds of matrix pencils are constructed to estimate the mixing matrix. The original sources are then s...

Speech Separation is one of the persuaded technologies for extensive variety of application in various fields, in which separation of blind speech signal is a difficult assignment. The two methods for blind source separation are under-determined and over determined. Over determined blind source separation is the most stimulating issue as it has less number of sensors. Another method for techniq...

To improve the CO2/N2 separation performance, mixed-matrix carbon molecular sieve membranes (mixed-matrix CMSMs) were fabricated and tested. Two carbon-based fillers, graphene oxide (GO) activated (YP-50F), separately incorporated into two polymer precursors (Matrimid® 5218 ODPA-TMPDA), resulting CMSMs demonstrated improved CO2 permeability. The improvement afforded by YP-50F was more substanti...

OBJECTIVE The objective of the current study was to compare in-vitro the proximal contact tightness (PCT) of Class II resin composite restorations (RCR) placed with different established and new placement techniques. METHODS 105 ivorine lower left first molars with standardized MO cavities were randomly divided into seven groups (n = 15) as follows: SRing: sectional matrix and separation ring...

When n independent random signals are mixed by an unknown m n matrix, the task of recovering the original signals from their mixtures is called blind source separation. This contribution introduces two simple source sep-artion algorithms. The rst one is adaptive, the second is iterative. Both work indiierently with complex or real signals and use an estimation equation involving 2nd-order and h...

In this paper, we propose a new sparse decomposition based single-channel speech separation method using orthogonal matching pursuit (OMP). The separation is performed using source-individual dictionaries consisting of time-domain training frames as atoms. OMP is used to compute sparse coefficients to estimate sources. We report the separation results of our proposed method and compare them wit...

A novel global search algorithm based method is proposed to separate MR images blindly in this paper. The key point of the method is the formulation of the new matrix which forms a generalized permutation of the original mixing matrix. Since the lowest entropy is closely associated with the smooth degree of source images, blind image separation can be formulated to an entropy minimization probl...