We present in this paper TBS-IM a Trace Based System to calculate collaborative and individual human learning Indicators in Moodle. The system we propose is based on the concept of modeled trace, and allows users to build and reuse indicators using transformations trace models without using programming code.
— Designing and exploiting collaborative activity indicators is a strong challenge for Technology Enhanced Learning Systems (TELS). In this work we compute indicators using modeled traces transformation and we use to allow possible this computation a Trace Based System. We develop a managment TBS for Moodle. We propose an original model-driven approach,… (More)
In this paper, we present a model based on the Neural Network (NN) for classifying Arabic texts. We propose the use of Singular Value Decomposition (SVD) as a preprocessor of NN with the aim of further reducing data in terms of both size and dimensionality. Indeed, the use of SVD makes data more amenable to classification and the convergence training… (More)
This paper presents an approach to extract features of online Arabic handwritten characters by combining offline features with Mel Frequency Cepstral Coefficients (MFCCs); indeed, these latter are commonly used as features in speech recognition systems. In this work, we have adapted MFCC method to online handwriting recognition area, and we investigate the… (More)
One of the important research topics in the literature of Wireless Sensor Network (WSN) is the design of an efficient routing protocol. This latter is a continuous challenging task due to the networks' variable topology and limited resources. Many researchers have proposed various routing protocols for WSN using some principles taken from geometric field or… (More)