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Author: search.filters.author.Saadi, Hocine

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    Detection and Description the Lesions in Brain Images
    (University Cadi Ayyad (Marroc), 2005-11) Lassouaoui, Nadia; Hamami, Latifa; Nouali-Taboudjemat, Nadia; Hadjar, Samir; Saadi, Hocine
    In this paper, we present the various stages for lesion recognition in brain images. We firstly apply a filtering based on geodesic reconstruction operator for increasing the quality of image. After, we use an unsupervised segmentation genetic algorithm for detecting the abnormal zones with respect of theirs morphological characteristics because they define the nature of illness (cyst, tumour, malignant, benign, …). The obtained segmented images are analyzed for computing the characteristics of illness which are necessary for the recognition stage for deducing a decision about the type of illness. So, we give also the various algorithms used for computing the morphological characteristics of lesions (size, shape, position, texture, …). Since we obtain a decision about the malignity or benignity of the lesion and a quantitative information for helping the doctors to locate the sick part.
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    Le système Sahana pour la Gestion des Catastrophes
    (CERIST, 2009-06) Nouali-Taboudjemat, Nadia; Saadi, Hocine
    Dans le cadre dans notre projet qui consiste à proposer un système de gestion de catastrophes basé sur l’apport des TICs, nous avons étudié le système Sahana que nous décrivons dans ce document. Le projet Sahana a été initié par des volontaires, peu après le tsunami qui a frappé le Sri Lanka le 26 décembre 2004. Il s’agit d’un système de gestion de catastrophes qui est libre et open source basé sur la pile LAMP (/Linux, Apache, MySQL, PHP) et Java. Ce logiciel est distribué selon les termes de la licence GNU LGPL. Nous sommes actuellement en phase de test de ce logiciel libre qui offre de nombreuses fonctionnalités en rapport avec les objectifs de notre projet.
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    Information technology for Enhancing Disaster Management
    (CERIST, 2009-04) Nouali-Taboudjemat, Nadia; Bouchama, Nadir; Bendjoudi, Ahcène; Babakhouya, Abdelaziz; Yahiaoui, Saïd; Belhoul, Yacine; Saadi, Hocine
    Responding to natural or man-made disasters, in a timely and effective manner, can reduce deaths and injuries as well as economic losses. Predicated on the assumption that better information leads to efficient decision-making and more effective performance of crisis response, research projects applying advanced information technology solutions to the crisis management field have emerged. This paper provides an overview of most recent projects, in this area, all over the world. Furthermore, the study highlights that using scalable and robust IT solutions can drastically facilitate access to the right information, by the right individuals and organizations, at the right time.