introduction. learning materials (lms), are submitted to students in different types, from class notes to referring students to different references, which can have different effectiveness. therefore, evaluation of effectiveness of commonly used types can help the university faculties in selection of more appropriate lms for students. methods. 1. the data regarding the types of lms used in diff...

Web-based or “online” learning commonly known as e-Learning which makes use of internet technologies has been widely used by many education institutions around the globe. Higher education institutions have been using Learning Management system (LMS) as a part of their campus-based and distance teaching. To date, very little research has been carried out to investigate whether the uses of LMS ac...

The least mean square (LMS) algorithm is the most popular adaptive ltering method due to its simplicity and predictable behavior. The convergence properties of the LMS algorithm can be improved by updating the lter coe cients in the transform domain. This paper presents a new transform domain LMS equalizer, called Discrete Cosine Transform Domain Parallel LMS (DCTPLMS) equalizer, which updates ...

The focus of this research is on the relationship between student participation in a learning management system(LMS) in traditional courses and course grades using Blackboard Learn tracking data from two undergraduate courses taught by the author from January to May 2015. The results are consistent with prior research that found a positive relationship between LMS participation and student achi...

This paper proposes a new method for online secondary path modeling in feedback active noise control (ANC) systems. In practical cases, the secondary path is usually time-varying. For these cases, online modeling of secondary path is required to ensure convergence of the system. In literature the secondary path estimation is usually performed offline, prior to online modeling, where in the prop...

Digital disease detection tools are technologically sophisticated, but dependent on digital information, which for many areas suffering from high disease burdens is simply not an option. In areas where news is often reported in local media with no digital counterpart, integration of local news information with digital surveillance systems, such as HealthMap (Boston Children's Hospital), is crit...

In this paper, the speech signal is enhanced from the noisy speech signal using the proposed Least Mean Square (LMS) adaptive noise reduction algorithm. In this, the speech signal is enhanced by varying the step size as the function of the input signal. Objective and subjective measures are made under various noises for the proposed and existing algorithms. From the experimental results, it is ...

In this paper, echo cancellation is done using genetic algorithm (GA). The genetic algorithm is implemented by two kinds of crossovers; heuristic and microbial. A new procedure is proposed to estimate the coefficients of adaptive filters used in echo cancellation with combination of the GA with Least-Mean-Square (LMS) method. The results are compared for various values of LMS step size and diff...

AbslrabTwo gradient descent adaptive algorithms are compared, the LMS algorithm and the LMSNewton algorithm. LMS is simple and practical, and is used in many applications worldwide. LMWewton is based on Newton's method and the LMS algorithm. LMSiNewton is optimal in the least squares sense. It maximizes the quality of its adaptive solution while minimizing the use of training dah. No other line...

BACKGROUND The lambda-mu-sigma (LMS) method calculates the lower limit of normal for spirometric values as the 5th percentile of the distribution of Z scores. Conceptually, LMS-derived Z scores account for normal age-related changes in pulmonary function, including variability and skewness in reference data. Evidence is limited, however, on whether the LMS method is valid for evaluating respir...