Publications by Year: 2018

2018
Brahmi S. Control of inhalation anesthesia using fuzzy logic. Industrial Engineering and Operations Management. 2018.
Zermane H. Control of inhalation anesthesia using fuzzy logic. IEOM 2018 Industrial Engineering and Operations Management July 26-27 . 2018.
Bentouhami L. Contrôle d&⋕39;une machine électrique double étoile par les techniques de l&⋕39;intelligence artificielle. 2018.
Djebaili Y, Bilami A. A Cross-Layer Fault Tolerant Protocol with Recovery Mechanism for Clustered Sensor Networks. International Journal of Distributed Systems and Technologies (IJDST)International Journal of Distributed Systems and Technologies (IJDST). 2018;9 :22.Abstract
This article describes how fault tolerance is an essential issue for many WSN (Wireless Sensor Network) applications such as wildlife monitoring, battlefield surveillance and health monitoring. It represents a great challenge for researchers regarding to the characteristics of sensor nodes which are prone to failures due essentially to their limited resources. Faults may occur, not only when sensor nodes exhaust their energy, but also when the congestion phenomenon emerges, because of a high traffic in the network and limited storage capacity of the sensor nodes. In order to support fault tolerance in WSNs, the authors propose a new scheme which incorporates a link quality estimation algorithm and a congestion detection mechanism to enable nodes that present high quality links to be chosen for routing in a non-congested area in case of faults. Evaluations through simulations under NS2 show that our proposed protocol tolerates faults with a minimum cost relatively to HEEP protocol and improves network’s performances comparatively to other fault tolerant protocols such as EF-LEACH.
DEMAGH Y. De l'idee novatrice a la concretisation theorique: developpement d'un nouvel absorbeur d’energie pour capteurs solaires a concentrations lineaires. seminaire national sur les energies renouvelables et le devetoppement durable snerdd-18, LE 25 & 26 JUIN . 2018.
Benamar S. Deciphering epidemiological link between healthcare-associated infections involving multi drug-resistant Enterococcus faecium vanA in Algeria underlines the need to reinforce infection control program in developing countries. Infection Prevention AnnualConference. 2018.
Ouarlent Y. Deficiency acquired in factor X Revealing an AL.Amyloidosis. 64 th Annual SSC Meeting of the ISTH. 2018.
Ouarlent Y. Déficit en facteur VII asymptomatique chez l’enfant. Congres des sociétés de pédiatrie . 2018.
Nabila KALLA. Dermohypodermites aiguës bactériennes en milieu hospitalier. 3ème conférence internationale d’infectiologie. 2018.
Tebbal S. Dermohypodermites aiguës bactériennes en milieu hospitalier. ème conférence internationale d’infectiologie . 2018.
Mokrani K. Dermohypodermites aiguës bactériennes en milieu hospitalier.; 2018.
Hamid HA. Dermohypodermites aiguës bactériennes en milieu hospitalier. 3ème conférence internationale d’infectiologie . 2018.
Tebbal S. Description des deux cas familiaux de FBM. 3ème conférence internationale d’infectiologie . 2018.
Mokrani K. Description des deux cas familiaux de FBM. 3ème Conférence Internationale d’Infectiologie . 2018.
Hadj Aissa H. Description des deux cas familiaux de FBM. 3ème conférence internationale d’infectiologie . 2018.
Kouda S, Abdelghani D, Barra S, Bendib T. Design of a Selective Smart Gas Sensor Based on ANN-FL Hybrid Modeling, ISSN e-ISSN 2077-6772 / 2306-4277. Journal of Nano- and Electronic PhysicsJournal of Nano- and Electronic Physics. 2018;volume 10 :pp 06011-06016.Abstract
The selectivity is one of the main challenges to develop a gas sensor, the good chemical species detection in a gaseous mixture decreasing the missed detections. The present paper proposes a new solution for gas sensor selectivity based on artificial neural networks (ANNs) and fuzzy logic (FL) algorithm. We first use ANNs to develop a gas sensor model in order to accurately express its behavior. In a second step, the FL and Matlab environment are used to create a database for a selective model, where the response of this one only depends on one chemical species. Analytical models for the gas sensor and its selective model are implemented into a Performance Simulation Program with Integrated Circuit Emphasis (PSPICE) simulator as an electrical circuit in order to prove the similarity of the analytical model output with that of the MQ-9 gas sensor where the output of the selective model only depends on one gas. Our results indicate the capability of the ANN-FL hybrid modeling for an accurate sensing analysis.
Youb L, Belkacem S, Naceri F, Cernat M, Pesquer LG. Design of an Adaptive Fuzzy Control System for Dual Star Induction Motor Drives. Advances in Electrical and Computer EngineeringAdvances in Electrical and Computer Engineering. 2018;18.
BOUTAANI MS, MADANI S, KANIT T. Détermination du volume élémentaire représentatif (VER) et les propriétés macroscopiques d’un matériau hétérogène à microstructure aléatoire. 2018.
Melakhessou MA, Benkiki N, Marref SE. Determination of antioxidant capacity, flavonoids and total phenolic content of extracts from Atractylis flava Desf. Research Journal of Pharmacy and TechnologyResearch Journal of Pharmacy and Technology. 2018;11 :5221-5226.
Seghir K, Benbouta R, Naoun M. Determination of Probabilistic Characteristics During Isolation of Fragile Loads Carried in Motor Trucks Over Rough Roads. International Journal of Acoustics & VibrationInternational Journal of Acoustics & Vibration. 2018;23.

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