Abstract This research, using goal setting theory, proposes a new educational intervention to improve the perceptions of Learning management System (LMS) as an organising technology, so intention continue it. research developed Visualised Weekly Outcomes (VWLO) mechanism for exposing learners required learning outcomes week by week. The used Partial Least Square Method analyse 151 responses fro...

This paper presents an online system identification method with `1-norm regularization. Convergence analysis is performed for non-stationary environments. This work is a significant extension of the non-negative LMS in both aspects of algorithm derivation and convergence analysis. According to its performance and computational cost, the proposed algorithm performs similarly as the LMS algorithm...

Abstract-In this paper, a single neuron neural network beamformer is proposed. A perceptron model is designed to optimize the weights of a dipole array antenna to steer the beam to desired directions. The objective is to reduce the complexity by using a single neuron neural network and utilize it for adaptive beamforming in dipole array antennas. The optimized coefficients calculated from the s...

A new adaptive lter algorithm has been developed that combines the beneets of the Least Mean Square (LMS) and Least Mean Fourth (LMF) methods. This algorithm , called LMS/F, outperforms the standard LMS algorithm judging either constant convergence rate or constant misadjustment. While LMF outperforms LMS for certain noise prooles, its stability cannot be guaranteed for known input signals even...

Uterine sarcoma is a rare tumor of mesodermal origin, accounting for 2-6% of uterine malignancies. Leiomyosarcoma (LMS) has been reported in only 1% of all uterine malignancies and is regarded as the most common primary uterine sarcoma. Herein, we present a case of LMS with unusual macroscopic features. The patient was a 61-year-old woman with LMS, which consisted of a large cystic mass (88×136...

this report shows the author’s work on audio restoration based on DSP tools from and outside of the course of EECS 451, such as moving average system, spectral subtraction method, and LMS adaptive filter design, in order to repair the degraded sound signals by reducing impulse interference, echo effects and background noise. These approaches are achieved on MATLAB, and have shown impressive res...

We present a method to deal with adaptive noise cancelling based on independent component analysis (ICA). Although popular least-mean-squares (LMS) algorithm removes noise components based on second-order correlation, the proposed ICA-based algorithm can utilize higher-order statistics. Additionally, extending to transform-domain adaptive filtering (TDAF) methods, normalized ICA-based algorithm...

The SSPA has wide application in Communication system, but its high output power varies due to its non linear gain. Predistortion method plays major role in power amplifier linearization. Polynomial is one of the methods used. The error estimation in Polynomial method is carried out by LMS Filter. Our main work is to analysis the error estimation performance of the LMS Filter for the Solid stat...

A sudden shift to complete online teaching and learning due the COVID-19 pandemic created many challenges for educational institutes, their administrators, teachers students. This study investigated students’ experiences with intention shape higher education institutes’ (HEI) Information Communication Technology (ICT) integration policies practices. mixed-method research approach was used colle...