Compressed sensing (CS) is being widely used to compress and reconstruct data for processing electrocardiogram (ECG) signals obtained through Wireless Body Area Networks. However, the conventional measurement matrix generator compression computations CS are in parallel, resulting significant power consumption a large area. This paper proposes serial generator, which reduces clock frequencies by...

Compressed sensing is the art of reconstructing a sparse vector from its inner products with respect to a small set of randomly chosen measurement vectors. It is usually assumed that the ensemble of measurement vectors is in isotropic position in the sense that the associated covariance matrix is proportional to the identity matrix. In this paper, we establish bounds on the number of required m...

The measurement of influence of social media has gained importance. This paper introduces a matrix to measure the influence of social media from individual users. This matrix comprises the parameters to measure personal influence for Facebook, Twitter, LinkedIn, YouTube and Google+ while taking into account current technology limitations for each of them. Furthermore, backgrounds are presented ...

Receiver Autonomous Integrity Monitoring (RAIM) for GNSS is required for safety and liability critical applications. The existing FDI (fault detection and identification) algorithms for RAIM are usually based on statistic testing, which is carried out with a statistic computed from the residuals of measurements. In this paper, a scheme which combines the conventional statistic test procedure wi...

We investigate the problem of approximate Bayesian inference for a general class of observation models by means of the expectation propagation (EP) framework for large systems under some statistical assumptions. Our approach tries to overcome the numerical bottleneck of EP caused by the inversion of large matrices. Assuming that the measurement matrices are realizations of specific types of ens...

industrial organizations are complex systems` where the interactions among the various functions such as sales, distribution, manufacturing, materials, finance, human resources and maintenance have to be man-aged towards a common purpose of delivering the customers satisfaction. however, since most of these or-ganizations have a `functional structure`, each function or department works towards ...

a matrix $pintextmd{c}^{ntimes n}$ is called a generalized reflection matrix if $p^{h}=p$ and $p^{2}=i$‎. ‎an $ntimes n$‎ ‎complex matrix $a$ is said to be a reflexive (anti-reflexive) matrix with respect to the generalized reflection matrix $p$ if $a=pap$ ($a=-pap$)‎. ‎in this paper‎, ‎we introduce two iterative methods for solving the pair of matrix equations $axb=c$ and $dxe=f$ over reflexiv...

utilizing polymeric materials for damping mechanical waves is of great importance in various fields of applications such as military camouflage, prevention of structural vibrational energy transfer, and noise attenuation. this ability originates from segmental dynamics of chain-like polymer molecules. damping properties of styrene-butadiene rubbercontaining 10 wt% of monosize polystyrene partic...

matrix metalloproteinases (mmps) are a family of neutral proteinases that are important in normal development, cellular differentiation or migration, angiogenesis, neurogenesis, wound repair, and a wide range of pathological processes such as oxidative stress and neuroinflammation. mmps have been demonstrated to increase the permeability of the blood–brain barrier (bbb) by degrading the compone...