Voici les éléments 1-20 de 613

  • Social Business Process Model Recommender: An MDE approach 

    Khider, Hadjer; Hammoudi, Slimane; benna, Amel; Meziane, Abdelkrim
    In : Rapports de recherche internes, (CERIST, Alger, 2018-09-26)
    with the advent of the social Web (Web 2.0) and the massive use of online social networks (OSNs) (e.g. Facebook, LinkedIn). OSNs have become new opportunity that provides huge Masses of data about users’, rich in their diversity and important in their quantity. Exploring the profiles data among these OSNs attract a ...
  • A parallel BSO Metaheuristic for Molecular Docking problem 

    Hocine, SAADI; Malika, MEHDI; Nadia, Nouali Taboudjemat
    In : Rapports de recherche internes, (CERIST, Alger, 2018-09-12)
    Dans ce rapport, nous proposons un modèle parallèle d’une métaheuristique basée sur l’essaim d'abeilles (BSO) pour résoudre le problème de Docking moléculaire. Cette solution est basée sur le modèle MapReduce, nous utilisons le framework MapCG pour implémenter ce modèle sur les cartes de traitement graphique GPUs ...
  • Leveraging Learners' Activity Logs for Course Reading Analytics Using Session-Based Indicators 

    Sadallah, Madjid; Encelle, Benoît; Maredj, Azze-Eddine; Prié, Yannick
    In : (Inderscience, 2018)
    A challenge that course authors face when reviewing their contents is to detect how to improve their courses in order to meet the expectations of their learners. In this paper, we propose an analytical approach that exploits learners' logs of reading to provide authors with insightful data about the consumption of their ...
  • Visual Data Mining by Virtual Reality for Protein-Protein Interaction Networks 

    Aouaa Noureddine;; Gherbi Rachid; Meziane Abdelkrim; Hayat Hadjar; Insaf Setitra
    In : Rapports de recherche internes, (CERIST, Alger, 2018-03-28)
    Currently, visualization techniques in the genetic field require a very important modeling phase in terms of resources. Traditional modeling techniques (in two dimensions) are rarely adapted to manage and process this mass of information. To overcome this kind of problem, we propose to use a new graph modeling technique ...
  • Random input helps searching predecessors 

    Belazzougui, Djamal; Kaporis, Alexis C.; Spirakis, Paul G.
    In : (CEUR-WS.org, Athènes, 2018-06-17)
    A data structure problem consists of the finite sets: D of data, Q of queries, A of query answers, associated with a function f : D ×Q → A. The data structure of file X is “static” (“dynamic”) if we “do not” (“do”) require quick updates as X changes. An important goal is to compactly encode a file X ∈ D, such that ...
  • Angle Minimization and Graph Analysis for text line segmentation in handwritten documents 

    Setitra, Insaf; Meziane, Abdelkrim
    In : Rapports de recherche internes, (CERIST, Alger, 2018-07-08)
    We propose in this paper a novel approach for text line segmentation in handwritten documents. The approach is based on angle minimization and graph analysis for text lines extraction. We apply our approach on images of ICDAR 2013 Handwriting Segmentation Contest, and give details about its robustness against skew ...
  • Fast matching statistics in small space 

    Belazzougui, Djamal; Cunial, Fabio; Denas, Olgert
    In : (Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, L'Aquila, 2018-06-27)
    Computing the matching statistics of a string S with respect to a string T on an alphabet of size sigma is a fundamental primitive for a number of large-scale string analysis applications, including the comparison of entire genomes, for which space is a pressing issue. This paper takes from theory to practice an existing ...
  • Memory-Efficient and Ultra-Fast Network Lookup and Forwarding Using Othello Hashing 

    Yu, Ye; Belazzougui, Djamal; Qian, Chen; Zhang, Qin
    In : (IEEE, 2018-04-11)
    Abstract: Network algorithms always prefer low memory cost and fast packet processing speed. Forwarding information base (FIB), as a typical network processing component, requires a scalable and memory-efficient algorithm to support fast lookups. In this paper, we present a new network algorithm, Othello hashing, and ...
  • Classification automatique des images histologiques du cancer du sein par réseaux de neurones convolutifs (RNC) 

    Setitra, Insaf; Meziane, Insaf; Mayouf, Mouna Sabrine; Hamrioui, Amel
    In : Rapports de recherche internes, (CERIST, Alger, 2018-08-01)
    Après le cancer de la peau, le cancer du sein est le deuxième type de cancer le plus commun chez la femme à l’échelle mondiale. Ce dernier enregistre un taux de mortalité assez élevé comparé aux autres types de cancer. (Spanhol, Oliveira et al. 2016). Le diagnostic des tumeurs du sein pour différencier les cellules ...
  • Classification automatique des images histologiques du cancer du sein par réseaux de neurones convolutifs (RNC) 

    Setitra, Insaf; Meziane, Abdelkrim; Mayouf, Mouna Sabrine; Hamrioui, Amel
    In : (Publication en ligne, Nancy, France, 2018-08-01)
    Après le cancer de la peau, le cancer du sein est le deuxième type de cancer le plus commun chez la femme à l’échelle mondiale. Ce dernier enregistre un taux de mortalité assez élevé comparé aux autres types de cancer. (Spanhol, Oliveira et al. 2016). Le diagnostic des tumeurs du sein pour différencier les cellules ...
  • WebVR based Interactive Visualization of Open Health Data 

    HADJAR, Hayet; Meziane, Abdelkrim; GHERBI, Rachid; Setitra, Insaf; Zeghichi, Seyf eddine; Lahmil, Abdessalam
    In : Rapports de recherche internes, (CERIST, Alger, 2018-04-22)
    Visualization and manipulation of complex and multivariate data in virtual worlds is important for both holders of these data and for their users. Indeed, Virtual Reality helps to make multidimensional data more intelligible and to bring useful information and knowledge. Offering Virtual Reality to browsers, also known ...
  • A Tracking Approach for Text Line Segmentation in Handwritten Documents 

    Setitra, Insaf
    In : (Springer / LNCS Series Book, Porto Portugal, 2017-02-24)
    Tracking of objects in videos consists of giving a label to the same object moving in different frames. This labelling is performed by predicting position of the object given its set of features observed in previous frames. In this work, we apply the same rationale by considering each connected component in the manuscript ...
  • Collaborative detection and response framework against SQL injection attacks in IoT-based smart 

    Boukhari, Chahira; Derhab, Abdelouahid; Guerroumi, Mohamed
    In : (Springer Publisher whith IEEE, Sault Ste. Marie, Ontario, Canada, 2017-12-11)
    In this paper, we propose a collaborative detection and re- sponse framework against SQL injection attacks in IoT-based smart grids. The framework is composed of a set of host-based detection sys- tems; each of which is deployed at a smart meter, in addition, at the data management server. When an attack at one host ...
  • Toward an Approach to Improve Business Process Models Reuse Based on LinkedIn Social Network 

    Khider, Hadjer
    In : (Springer International Publishing, Porto Santo Island Madeira, Portugal, 2017-04-11)
    Business process (BP) modeling is an important stage in Business Process Management (BPM) lifecycle. However, modeling BP from scratch is fallible task, complex, time-consuming and error prone task. One of the promising solutions to these issues is the reuse of BP models. BP reusability during the BP modeling stage ...
  • Toward a new Backpressure-based framework to Enhance Situational Awareness in Disaster Response 

    Kabou, Abdelbaset; Nouali-Taboudjemat, Nadia; Nouali, Omar
    In : (IEEE ICT-DM-2017, International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), 2017-12-11)
    Crises generate intense need to communication not just as a panic reaction to crisis, but also due the critical need for communication in order to better coordinate during response activities. In the afterward of a disaster, the lack of resources to handle this increase of data, due to the fragility of network inf ...
  • Web services classification for disaster management and risk reduction 

    Laachemi, Abdelouahab; Boughaci, Dalila
    In : (IEEE Xplore, Munster, Germany, 2017-12-11)
    A disaster is a disruption of the society functioning that can interrupt essential services of our live. It has an important impact on human, material, economic and environment. There a several kind of disaster such as: natural, environmental emergencies and contagious disease that affects health and so on. We need ...
  • Revisiting Directed Diffusion In The Era Of IoT-WSNs : Power Control For Adaptation to High Density 

    Khelladi, Lyes
    In : (IEEE Xplore, Larnaca, chypre, 2017-08-28)
    Wireless Sensor Networks (WSNs) have been recognized as a crucial and enabling technology in the world of Internet of Things (IoT). However, their integration with IoT arises new design challenges, compared to conventional WSNs applications. This paper addresses the challenge of high node density and its impact on ...
  • INFLUENCE DE L’ENTRAIDE DES ETUDIANTS D’UNE FORMATION À DISTANCE SUR LE DEGRÉ D’AUTODÉTERMINATION DE LEUR MOTIVATION : LE RÔLE DU SENTIMENT D’APPARTENANCE SOCIALE 

    Bebbouchi, Dalila; Jézégou, Annie
    In : Rapports de recherche internes, (CERIST, Alger, 2018-02)
    Par une approche qualitative et compréhensive, cette recherche vise à décrire et analyser les comportements d’entraide spontanée entre des étudiants engagés dans des formations à distance. Il s’agit également d’examiner si le sentiment d’appartenance sociale exerce une influence sur ces comportements. Un autre objectif ...
  • Usages du web social via les sites web des bibliothèques algériennes : cas du réseau universitaire 

    Loukem, Mohamed El Hadi; Aliouali, Nadia
    In : (Centre de recherche sur l'information scientifique et technique - CERIST, 2016-05-20)
    L’émergence du web 2.0, dit web social apparaît comme un nouveau bouleversement majeur. Symbolisé par quelques applications phares, comme Youtube, Wikipedia, mySpace ou encore les blogs, le web 2.0 regroupe en réalité un ensemble de pratiques considérées comme nouvelles. Toutes sont basées sur le retour de l’usager au ...
  • Electrical Energy Consumption Control in Buildings Using Wireless Sensor 

    Djenouri, Djamel; Laidi, Roufaida; Zizoua, Cherif
    In : Rapports de recherche internes, (CERIST, Alger, 2018-01-25)
    Energy consumption in residential and commercial buildings has increased dramatically worldwide in the last decade, due to the constant population and economic growth, the proliferation of electronic and consumer appliances. This has dramatic footprint on the environment in terms of carbon emission, in addition ...