Recent Submissions

  • 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 ...

    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 ...
  • UDEPLOY: User-Driven Learning for Occupancy Sensors DEPLOYment In Smart Buildings 

    Laidi, Roufaida; Djenouri, Djamel
    In : Rapports de recherche internes, (CERIST, Alger, 2017-12-25)
    A solution for motion sensors deployment in smart buildings is proposed. It di erentiates the monitored zones according to their occupancy, where highly-occupied zones have higher coverage requirements over low-occupied zones, and thus are assigned higher granularity in the targeted coverage (weights). The proposed ...
  • ADABCAST: ADAptive BroadCAST Approach for Solar Energy Harvesting Wireless Sensor Networks 

    Khiati, Mustapha; Djenouri, Djamel
    In : (IEEE, Newark, NJ, USA, 2017-04)
    The problem of message broadcasting from the base station (BS) to sensor nodes (SNs) in solar energy harvesting wireless sensor networks (EHWSN) is considered in this paper. The aim is to ensure fast and reliable broadcasting without interfering with upstream communications (from SNs to BS), whilst taking into account ...
  • One-Step Clustering Protocol for Periodic Traffic Wireless Sensor Networks 

    Nassima, Merabtine; Djamel, Djenouri; Zegour, Djamel-Eddine; Lamini, Elseddik; Rima, Bellal; Imene, Ghaoui; Nabila, Dahlal
    In : (IEEE, Newark, NJ, USA, 2017-04)
    A new centralized clustering protocol for periodic traffic wireless sensor networks is proposed in this paper. The proposed protocol uses one-step off-line cluster computation algorithm, where all the clustering schemes and their respective durations are calculated by the base station (BS) once at the network initialization. ...
  • Data Mining-Based Decomposition for Solving the MAXSAT Problem: Toward a New Approach 

    Djenouri, Youcef; Habbas, Zineb; Djenouri, Djamel
    In : (IEEE, 2017-06)
    A new approach decomposes a MAXSAT instance and then applies clustering via data mining decomposition techniques, with every cluster resulting from the decomposition separately solved to construct a partial solution. All partial solutions are then merged to build the global solution.
  • Optimal Placement of Relay Nodes Over Limited Positions in Wireless Sensor Networks 

    Bagaa, Miloud; Cheli, Ali; Djenouri, Djamel; Taleb, Tarik; Balasingham, Ilangko; Kansanen, Kimmo
    In : (IEEE, 2017-04)
    This paper tackles the challenge of optimally placing relay nodes (RNs) in wireless sensor networks given a limited set of positions. The proposed solution consists of: 1) the usage of a realistic physical layer model based on a Rayleigh blockfading channel; 2) the calculation of the signal-to-interferenceplus- noise ...
  • Energy-Aware Constrained Relay Node Deployment for Sustainable Wireless Sensor Networks 

    Djenouri, Djamel; Bagaa, Miloud
    In : (IEEE, 2017-03)
    This paper considers the problem of communication coverage for sustainable data forwarding in wireless sensor networks, where an energy-aware deployment model of relay nodes (RNs) is proposed. The model used in this paper considers constrained placement and is different from the existing one-tiered and two-tiered models. ...
  • A Concise Forwarding Information Base for Scalable and Fast Name Lookups 

    Yu, Ye; Belazzougui, Djamal; Qian, Chen; Zhang, Qin
    In : (IEEE, Toronto, Ontario, Canada, 2017-11-30)
    Forwarding information base (FIB) scalability and its lookup speed are fundamental problems of numerous net- work technologies that uses location-independent network names. In this paper we present a new network algorithm, Othello Hashing, and its application of a FIB design called Concise, which uses very little ...
  • A stochastic local search combined with support vector machine for web services classification 

    LAACHEMI, Abdelouahab; BOUGHACI, Dalila
    In : Rapports de recherche internes, (CERIST, Alger, 2016-04)
    In this paper, we are interested in the Web service classification. We propose a classification method that first uses a stochastic local search (SLS) meta-heuristic for feature selection then call the Support Vector Machine (SVM) to do the classification task. The proposed method that combines SLS and SVM for Web service ...
  • Big Data : Concepts et Cas d’utilisation 

    AMRANE, Abdesalam
    In : Rapports de recherche internes, (CERIST, Alger, 2015-06-15)
    Dans ce rapport nous décrivons l'écosystème Big Data, le contexte et les cas d'utilisation sont présentés. par la suite nous détaillons les technologies matérielles et logicielles nécessaires (stockage, traitement parallèle, virtualisation, …).
  • Les plateformes Big Data 

    AMRANE, Abdesalam
    In : Rapports de recherche internes, (CERIST, Alger, 2017-05-15)
    Avec la croissance exponentielle du volume de données et la nécessité de l'analyse de ces données, la conception et la mise en œuvre d’une plateforme d'analyse de données Big Data pour gérer, stocker et extraire des prévisions de toutes les données numériques devient primordiale. Une variété de plateformes de Big Data ...

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