Mahieddine Djoudi

An Agent-Based Approach for Designing and implementing a Virtual Laboratory

Virtual laboratories are necessary in e-learning environments, especially in technical and scientific disciplines. Our research objectives consist in proposing an environment to allow, on one hand, teachers to design virtual practical works, and on the other hand, learners to work together and perform laboratory experiments from remote locations through a web browser in distant. Environment with virtual objects and appropriate pedagogical scenarios. In this article we describe the design and implementation of an agent based environment of a virtual laboratory for cooperative learning over the Web.

An interactive 3D distributed environment for distance practical works

This work is in line with the framework of the development of a 3D interactive environment to make it easy for university students to do their distant practical works (PW). This environment allows several learners to share a 3D work space‥ Therefore this is a multi users environment, distributed over a network and uses the virtual reality which allows the performance of many activities. We propose in this paper the description of a PW generic classroom which has all the necessary virtual objects to accomplish the different experiments. The interaction with this work is done through a java Applet, shared between learners, that allows the manipulation of these objects to attain the expected objective of the experiment.

An automatic transformation from COSA software architecture to CORBA platform

Recently, middleware as an abstraction layer is completely integrated in development environments for resolving heterogeneity and guaranteeing the transparency communication of distributed components. The explicit separation of architecture and implementation is the main concern of the Model Driven Architecture (MDA), aiming to well understanding and controlling interactions and inter-connections among components. This article defines an automatic transformation from COSA (Component-Object based Software Architecture), which is a software architecture model that describes systems as a collection of components and connectors, to a standard platform - CORBA. The goal of our work is rapid mapping and smooth integration of COSA concepts into CORBA middleware platform in order to achieve a higher level of abstraction.

AMACE: agent based multi-criterions adaptation in cloud environment

Efficient resource management in dynamic cloud computing is receiving more and more attentions. Many works are still ongoing, since federated cloud computing is an open environment. We present in this paper a flexible model, new cloud operators can join the federation or leave it. The model integrates interactions between broker agents organization, permitting a multi-criterion migration of a submitted customer request. To implement the presented flexible model, we propose AMACE (agent based multi-criterions adaptation in cloud environment) a run-time self-adaptive approach, oriented agent in dynamic cloud federation environment. The proposed approach is multi-criterion, where a various and no limited number of parameters can be considered during the self-adaptation strategy (i.e. computing the load balance of the mediator agent and geographical distance “network delay” between the customer and provider…). In addition, AMACE cares about maintaining run-time coherence in optimization evolution in order to guarantee a coherent system at all moment during system execution.

ARAACOM: ARAbic Algerian Corpus for Opinion Mining

Nowadays, it is no more needed to do an enormous effort to distribute a lot of forms to thousands of people and collect them, then convert this from into electronic format to track people opinion about some subjects. A lot of web sites can today reach a large spectrum with less effort. The majority of web sites suggest to their visitors to leave backups about their feeling of the site or events. So, this makes for us a lot of data which need powerful mean to exploit. Opinion mining in the web becomes more and more an attracting task, due the increasing need for individuals and societies to track the mood of people against several subjects of daily life (sports, politics, television,...). A lot of works in opinion mining was developed in western languages especially English, such works in Arabic language still very scarce. In this paper, we propose our approach, for opinion mining in Arabic Algerian news paper.

SIAAC: Sentiment Polarity Identification on Arabic Algerian Newspaper Comments

It is a challenging task to identify sentiment polarity in Arabic journals comments. Algerian daily newspapers interest more and more people in Algeria, and due to this fact they interact with it by comments they post on articles in their websites. In this paper we propose our approach to classify Arabic comments from Algerian Newspapers into positive and negative classes. Publicly-available Arabic datasets are very rare on the Web, which make it very hard to carring out studies in Arabic sentiment analysis. To reduce this gap we have created SIAAC (Sentiment polarity Identification on Arabic Algerian newspaper Comments) a corpus dedicated for this work. Comments are collected from website of well-known Algerian newspaper Echorouk. For experiments two well known supervised learning classifiers Support Vector Machines (SVM) and Naive Bayes (NB) were used, with a set of different parameters for each one. Recall, Precision and F_measure are computed for each classifier. Best results are obtained in term of precision in both SVM and NB, also the use of bigram increase the results in the two models. Compared with OCA, a well know corpus for Arabic, SIAAC give a competitive results. Obtained results encourage us to continue with others Algerian newspaper to generalize our model.

E-PACAD: A collaborative learning environment based ontologies

In this paper, we present a collaborative learning environment mediatized on the Internet. For its design, we take into account all the components intervening in the interaction and collaboration process and we propose an approach guided by ontologies (domain and application). The objective of this work is to allow multiple users (learners, teachers, administrators, managers, etc.) to interact collectively with the environment. In this collaboration model, the learning users are actors of the achievement of a common problem.

Communications in Computer and Information Science: The Impact of an Online Environment Reading Comprehension: A Case of Algerian EFL Students

In this study we used a statistical analysis, based on a sub-sample of participants enrolled in the fifth years of Computer Science Department of Batna (Algeria) University, the effects of an online environment reading comprehension were investigated. The students’ native language was Arabic, and they were learning English as a second foreign language. The two research questions of this study are: 1. Are there any differences in students’ reading paper-andpencil / web mode? 2. Are there any differences in students’ reading individual / collaborative mode? The paper proves that working with our online learning environment significantly improved the students’ motivation and positively affected higher-level knowledge and skills.