Abstract This study successfully synthesized Li 2 MnSiO 4 /Mn 3 O (LMS/M3) and Mn 0.8 Ni 0.2 SiO (LMNS/M3) nanocomposites in a two-step method first, by preparing (M3) nanoparticles through hydrothermal second, synthesizing (LMS) (LMNS) ethylene diamine tetra-acetic assisted sol–gel method. In the last method, two are mixed hand-milling to form nanocomposites. Synthesized were characterized usi...

Uterine leiomyosarcoma (Ut-LMS) develops more often in myometrium of the uterine body than in the uterine cervix. The development of gynecologic tumors is often correlated with female hormone secretion; however, the development of Ut-LMS is not substantially correlated with hormonal conditions, and the risk factor(s) are not yet known. Importantly, a diagnostic-biomarker, which distinguishes ma...

Excimer laser pulsed deposition was applied to the deposition of organic thin ®lms on sapphire and on glass. The thin ®lms were analyzed by X-ray diffraction (XRD), micro-Raman spectroscopy and ESCA. It was found that the properties of the ®lms were very close to that of the target materials. Strong photoluminescence was observed for both Alq3 and N,N 0-diphenyl-N,N 0-bis(3-methylphenyl)-(1,1 0...

The planar thallium-201 myocardial perfusion scintigram is a widely used diagnostic technique for detecting and estimating the risk of coronary artery disease. Neural networks learned to interpret 100 thallium scintigrams as determined by individual expert ratings. Standard error backpropagation was compared to standard LMS, and LMS combined with one layer of RBF units. Using the "leave-one-out...

Underwater acoustic channels are recognized for being one of the most difficult propagation media due to considerable difficulties such as: multipath, ambient noise, time-frequency selective fading. The exploitation of sparsity contained in underwater acoustic channels provides a potential solution to improve the performance of underwater acoustic channel estimation. Compared with the classic l...

in many active noise control (anc) applications, an online secondary pathmodelling method that uses a white noise as a training signal is required. this paperproposes a new feedback anc system. here we modified both the fxlms and thevss-lms algorithms to raised noise attenuation and modelling accuracy for theoverall system. the proposed algorithm stops injection of the white noise at theoptimum...

In this paper we develop a modified filtered-x least mean squares (MFX-LMS) method to synthesis an adaptive repetitive controller for rejecting periodic disturbances at selective frequencies. We show how a MFX-LMS algorithm can be utilized when the reference signal is deterministic and periodic. A new adaptive step size is proposed with the motivation to improve the convergence rate of the MFX-...

In this paper we designed a least mean square (LMS) adaptive filter to remove the unwanted noise which might occur during music recordings, echo in telephone networks, etc. Generally all LMS algorithm starts with an assumption of weight vector as zero initially and iteration continues till the error is minimized till its optimum level. This takes much more time to compute the optimized coeffici...

The paper proposed the adapter filter design based on the improved LMS algorithm. The paper first introduced the minimum mean square (LMS) algorithm, which is a very useful and very simple estimated gradient method. This algorithm has been widely used since the early 1960s quickly, its advantage is that the small amount of calculation, and the rapid development of the digital signal processor a...

In this work, we have developed a thermal sensor based on poly(3,4 ethylenedioxythiophene) (PEDOT) nano lms as thermoelectric material. The PEDOT nano lms have been synthesized by the electrochemical polymerization method. The thicknesses of the lms were around 120 nm. The doping level of PEDOT was controlled by chemical reduction using hydrazine. The achieved Seebeck coefficient is 40 μV/K. A ...