Publications by Type: Conference Proceedings

2019
Titouna C, TITOUNA F, Ari AAA. Outlier detection algorithm based on mahalanobis distance for wireless sensor networks. 2019 International Conference on Computer Communication and Informatics (ICCCI). 2019 :1-6.
Khadraoui E, Laidoudi A, Messaour R. Perspective ago-antagonique entre intervention didactique et pédagogique dans les pratiques enseignantes. FORUM DE L'ENSEIGNANT منتدى الأستاذ. 2019;15 :133-149.
Badra BOUZGHAIA. Phytochimical analysis from the plant centaurea tenuifolia. 2019.
Salim A, Mounir A. Position Control of an Induction Machine Using the Fuzzy Passivity Mode. 2019 1st International Conference on Sustainable Renewable Energy Systems and Applications (ICSRESA). 2019 :1-5.
Yousfi A, Bencherif H, Dehimi L, Pezzimenti F, Saidi L, Abdi MA, Meddour F, Khezzar D. Possible efficiency boosting of tandem solar cell by using single antireflection coating and BSF layer. 2019 1st International Conference on Sustainable Renewable Energy Systems and Applications (ICSRESA). 2019 :1-4.
Zeroual A, Djeddou M, Fourar A. Prediction of Earthquake-Induced Liquefaction State in Embankment Dams Using Back-Propagation Neural Network. Euro-Mediterranean Conference for Environmental Integration. 2019 :2051-2055.
Hamid HA. Profil des patients atteints d’hépatite virale C traités par les antiviraux directs AAD. 2019.
Soraya T. Profil des patients atteints d’hépatite virale C traités par les antiviraux directs AAD. 4ème conférence internationale d’infectiologie . 2019.
Abderrezak B. Profil des patients atteints d’hépatite virale C traités par les antiviraux directs AAD. 4ème conférence internationale d’infectiologie . 2019.
Barka K, Guezouli L, Gourdache S, Boubiche DE. Proposal of a new self-organizing protocol for data collection regarding Mobile Wireless Sensor and actor Networks. 15th International Wireless Communications & Mobile Computing Conference (IWCMC) [Internet]. 2019. Publisher's VersionAbstract
Mobile Wireless Sensor and Actor Networks (MWSANs) can simply be defined as an extension of Wireless Sensor and Actor Networks (WSANs) in which the actor nodes are mobile. As such, in addition to challenges existing in WSAN, the mobility also imposes new challenges such as localization of actors, cooperative tracking of both actor-actor and actor-sensor collaboration, and communication infrastructure between distant actors. New communication protocols, specific to MWSANs, are needed. In this paper, we propose a self-organization and data collection protocol in order to provide energy efficiency, low latency, high success rate and suitably interactions between sensors and actors and take benefit from the mobility and resources existing on the network’s actor nodes. The actor nodes move according to RWP mobility model. Each actor, during its pause time creates a temporary cluster, and is the head of it, collects and processes sensor data and performs actions on the environment based on the information gathered from sensor nodes in its cluster. Once an actor detects a base station it delivers the collected data to it. The simulations carried out (with TOSSIM tool), comfort us with good performances results.
Barka K, Guezouli L, Gourdache S, Boubiche DE. Proposal of a new self-organizing protocol for data collection regarding mobile wireless sensor and actor networks. 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC). 2019 :985-990.
Naima Z. Proposal of an Automatic Single Document Text Summarization. International Conference on Management, Economics & Social Science. 2019.
Naima Z. Proposal of an Automatic Single Document Text Summarization http://researchfora.com/Conference2019/UK/2/ICMESS/. ICMESS 2019 43rd International Conference, 18-19 Mars . 2019.
Imen C, Fouad DJAIZ, Mabrouk B. Reconsideration of the Cenomanian-Turonian stratigraphics units in the Tebessa region (Algero-TunisienConfines): Petroleum implications. The 1st National Seminar in Geosciences and Environment (SGSE 2019) [Internet]. 2019. Publisher's VersionAbstract

The Algero-Tunisian confines (Tebessa region) is partially composed of Cenomano- Turonian carbonate outcrops; therefore, it presents a good example to highlight the black shale levels reported over a short period, around the Cenomanian-Turonian boundary. The lithostratigraphic study made it possible to specify the paleoenvironment during the Cenomano-Turonian in the Tebessa region. At that time, the depositional environment emphasized a relatively deep, calm and often confined ocean environment that was significantly shalloweron the north part of the study area. The lithology and the distribution of the facies in the Constantine domain allow us to underline the pelagic influences during the Upper Cretaceous and neritic during the lower Cretaceous period. We note a maximum thickness of the Cenomano- Turonian in the southern zones and a minimum (100m) appears further north. This Palaeogeographic organization continue laterally in Tunisia on the extension of the Constantine mole.

Soltani F, Kacha F, Saidi M. Résultats du traitement par Imatib* d'une série de 110 patients présentant une leucémie myéloïde chronique en phase chronique : étude mono centrique sur une période de 10 ans. Congrès maghrébin d'Hématologie , Octobre . 2019.
Lamine B, Nabil C, Tarek D. Reviewing the potential anthropogenic sources of groundwater contamination - Case study of the expanding urban area of Taleza in Algeria. 72nd Canadian Geotechnical Conference. 2019.Abstract

Located in northeast Algerian, the coastal aquifer of Taleza constitutes a significant source of groundwater. It contains hundreds of private wells installed by the population for several purposes including drinking water. Recently, the groundwater has become quite salinized. Furthermore, some people have noted the presence of a bad odor, as rotten eggs, in the groundwater pumped from their wells. The groundwater quality is mostly controlled by two factors: 1) natural processes related to aquifer lithology, and soil/rock interactions with groundwater, and 2) anthropogenic activities. However, the later activities can be considered as the most serious sources of groundwater contamination. This paper describes a review of potential anthropogenic sources of groundwater contamination over the Taleza territory. Several different potential anthropogenic sources were identified, such as cultivated fields, private sanitation systems, random urbanisation, over-exploitation of groundwater, solid waste dumpsites, and cemeteries. Consequently, efficient and durable groundwater protection planning is urgently required, to limit and possibly remediate groundwater contamination related to anthropogenic activities.

Ramzi M, Larbi GUEZOULI, Lyamine G. Road obstacle detection. Proceedings of the 3rd International Conference on Future Networks and Distributed Systems. 2019 :1-5.
Khamsa M. Rougeole et maladie auto-immune : à propos d’un cas exceptionnel de rougeole sur lupus sous corticothérapie prolongée. 3ème Journée Internationale d’Infectiologie de L’EHS El Hadi Flici ex El Kettar, . 2019.
Mahmoud C, Aouag S. Security for internet of things: A state of the art on existing protocols and open research issues. Proceedings of the 9th international conference on information systems and technologies. 2019 :1-6.
Guezouli L, Barka K, Gourdache S, Boubiche DE. Self-organization Smart Protocol for Mobile Wireless Sensor Networks. 15th International Wireless Communications & Mobile Computing Conference (IWCMC) [Internet]. 2019. Publisher's VersionAbstract
In this paper, we propose a novel self-organization protocol for wireless sensor networks (WSNs) assisted by Unmanned Aerial Vehicle (UAV or Drone) called SSP (Self-organization Smart Protocol). In order to provide energy efficiency, low latency, high success rate and suitably interactions between sensors and UAVs while taking advantage of the air mobility (fly) and resource available on the UAVs in the network. The UAVs move according to RWP (Random Waypoint) mobility model. Each UAV, during its pause time at a known height, creates a temporary cluster, and acts as its head, collects and processes sensor data and performs actions on the environment based on the information gathered from sensor nodes in its cluster. Once an UAV detects a base station (BS) it forwards the collected data to it. The results of the simulations show the high performance of the proposed algorithm.

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