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Publications

2017
Fayçal M. Modélisation d&⋕39;un Capteur Electromagnétique. 2017.
Lotfi M. Modélisation et Optimisation de l’Effet de l’Auto-Echauffement des Composants Electroniques de Puissance. 2017.
Salim HALLOUFI, Hadjer GHERIBI. Modélisation et optimisation des paramètres de coupe pour minimiser la rugosité des surfaces usinées en tournage. 2017.
Salim HALLOUFI, Hadjer GHERIBI. Modélisation et optimisation des paramètres de coupe pour minimiser la rugosité des surfaces usinées en tournage. 2017.
BORDJA I, DEMAGH Y, KABAR Y, TRIA H, OUARGHI I. Modelisation numerique d'un collecteur solaire parabolique. 4eme seminaire sur les technologies mecaniques avancees stema 2017, 14 et 15 Novembre. 2017.
BORDJA I, DEMAGH Y, KABAR Y, TRIA H, OUARGHI I. Modelisation numerique d'un collecteur solaire parabolique. 4eme seminaire sur les technologies mecaniques avancees stema 2017, 14 et 15 Novembre. 2017.
BORDJA I, DEMAGH Y, KABAR Y, TRIA H, OUARGHI I. Modelisation numerique d'un collecteur solaire parabolique. 4eme seminaire sur les technologies mecaniques avancees stema 2017, 14 et 15 Novembre. 2017.
BORDJA I, DEMAGH Y, KABAR Y, TRIA H, OUARGHI I. Modelisation numerique d'un collecteur solaire parabolique. 4eme seminaire sur les technologies mecaniques avancees stema 2017, 14 et 15 Novembre. 2017.
BORDJA I, DEMAGH Y, KABAR Y, TRIA H, OUARGHI I. Modelisation numerique d'un collecteur solaire parabolique. 4eme seminaire sur les technologies mecaniques avancees stema 2017, 14 et 15 Novembre. 2017.
Chouia S, Seddik-Ameur N. A modified chi-square test for Bertholon model with censored data. Communications in Statistics-Simulation and ComputationCommunications in Statistics-Simulation and Computation. 2017;46 :593-602.
Chouia S, Seddik-Ameur N. A modified chi-square test for Bertholon model with censored data. Communications in Statistics-Simulation and ComputationCommunications in Statistics-Simulation and Computation. 2017;46 :593-602.
Morakchi H, Loucif L, Gacemi-Kirane D, Rolain J-M. Molecular characterisation of carbapenemases in urban pigeon droppings in France and Algeria. Journal of global antimicrobial resistanceJournal of Global Antimicrobial Resistance. 2017;9 :103-110.
Morakchi H, Loucif L, Gacemi-Kirane D, Rolain J-M. Molecular characterisation of carbapenemases in urban pigeon droppings in France and Algeria. Journal of global antimicrobial resistanceJournal of Global Antimicrobial Resistance. 2017;9 :103-110.
Morakchi H, Loucif L, Gacemi-Kirane D, Rolain J-M. Molecular characterisation of carbapenemases in urban pigeon droppings in France and Algeria. Journal of global antimicrobial resistanceJournal of Global Antimicrobial Resistance. 2017;9 :103-110.
Morakchi H, Loucif L, Gacemi-Kirane D, Rolain J-M. Molecular characterisation of carbapenemases in urban pigeon droppings in France and Algeria. Journal of global antimicrobial resistanceJournal of Global Antimicrobial Resistance. 2017;9 :103-110.
Barka K, Bilami A, Gourdache S. MONet: A framework for self-adaptive energy-aware middleware for dynamic wireless sensor network. International Journal of Pervasive Computing and CommunicationsInternational Journal of Pervasive Computing and Communications. 2017.Abstract
The purpose of this paper is to ensure power efficiency in wireless sensor networks (WSNs) through a new framework-oriented middleware, based on a biologically inspired mechanism that uses an evolutionary multi-objective optimization algorithm. The authors call this middleware framework multi-objective optimization for wireless sensor networks (MONet).
Barka K, Bilami A, Gourdache S. MONet: A framework for self-adaptive energy-aware middleware for dynamic wireless sensor network. International Journal of Pervasive Computing and CommunicationsInternational Journal of Pervasive Computing and Communications. 2017.Abstract
The purpose of this paper is to ensure power efficiency in wireless sensor networks (WSNs) through a new framework-oriented middleware, based on a biologically inspired mechanism that uses an evolutionary multi-objective optimization algorithm. The authors call this middleware framework multi-objective optimization for wireless sensor networks (MONet).
Barka K, Bilami A, Gourdache S. MONet: A framework for self-adaptive energy-aware middleware for dynamic wireless sensor network. International Journal of Pervasive Computing and CommunicationsInternational Journal of Pervasive Computing and Communications. 2017.Abstract
The purpose of this paper is to ensure power efficiency in wireless sensor networks (WSNs) through a new framework-oriented middleware, based on a biologically inspired mechanism that uses an evolutionary multi-objective optimization algorithm. The authors call this middleware framework multi-objective optimization for wireless sensor networks (MONet).
GUEZOULI L, Belhani H. Motion Detection of Some Geometric Shapes in Video Surveillance. American Journal of Data Mining and Knowledge DiscoveryAmerican Journal of Data Mining and Knowledge Discovery. 2017;2 :8-14.Abstract
Motion detection is a live issue. Moving objects are an important clue for smart video surveillance systems. In this work we try to detect the motion in video surveillance systems. The aim of our work is to propose solutions for the automatic detection of moving objects in real time with a surveillance camera. We are interested by objects that have some geometric shape (circle, ellipse, square, and rectangle). Proposed approaches are based on background subtraction and edge detection. Proposed algorithms mainly consist of three steps: edge detection, extracting objects with some geometric shapes and motion detection of extracted objects.
GUEZOULI L, Belhani H. Motion Detection of Some Geometric Shapes in Video Surveillance. American Journal of Data Mining and Knowledge DiscoveryAmerican Journal of Data Mining and Knowledge Discovery. 2017;2 :8-14.Abstract
Motion detection is a live issue. Moving objects are an important clue for smart video surveillance systems. In this work we try to detect the motion in video surveillance systems. The aim of our work is to propose solutions for the automatic detection of moving objects in real time with a surveillance camera. We are interested by objects that have some geometric shape (circle, ellipse, square, and rectangle). Proposed approaches are based on background subtraction and edge detection. Proposed algorithms mainly consist of three steps: edge detection, extracting objects with some geometric shapes and motion detection of extracted objects.

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