Merzouk I, Bendaas ML.
Improved direct power control for 3-level AC/DC converter under unbalanced and/or distorted voltage source conditions. Turkish Journal of Electrical Engineering & Computer SciencesTURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 2016;24 :1847-1862.
Merzouk I, Bendaas ML.
Improved direct power control for 3-level AC/DC converter under unbalanced and/or distorted voltage source conditions. Turkish Journal of Electrical Engineering & Computer SciencesTURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 2016;24 :1847-1862.
Mokrani K, Tebbal S, Benyahia A.
Infections associées aux soins : A propos de 4 cas d’hépatite virale C. 1ère conférence internationale d’infectiologie d’Oran : Hygiène hospitalière et prévention des infections associées aux soins. 2016.
Mokrani K, Tebbal S, Benyahia A.
Infections associées aux soins : A propos de 4 cas d’hépatite virale C. 1ère conférence internationale d’infectiologie d’Oran : Hygiène hospitalière et prévention des infections associées aux soins. 2016.
Mokrani K, Tebbal S, Benyahia A.
Infections associées aux soins : A propos de 4 cas d’hépatite virale C. 1ère conférence internationale d’infectiologie d’Oran : Hygiène hospitalière et prévention des infections associées aux soins. 2016.
Boubiche S, Boubiche DE, Azzedine B.
Integrating Big data paradigm in WSNs. Proceedings of the International Conference on Big Data and Advanced Wireless Technologies. 2016 :1-4.
Boubiche S, Boubiche D-E, Bilami A.
Integrating Big data paradigm in WSNs. International Conference on Big Data and Advanced Wireless Technologies [Internet]. 2016.
Publisher's VersionAbstractWSNs consist of large number of small sensors densely deployed to monitor a phenomenon. Most of the data generated from the WSNs represent events happening at time intervals. Sometimes and according to the nature of the applications, this data stream is continuous and can reach high speeds. Therefore, adopting new techniques, platforms and tools to deal with this large amount of sensory data became necessary. Therefore, the Big Data paradigm can represent a good solution for the extraction, analysis, viewing, sharing, storage and transfer of such volume of data. This paper presents a survey on integrating Big Data tools for gathering, storing and analyzing the data generated by WSNs.
Boubiche S, Boubiche D-E, Bilami A.
Integrating Big data paradigm in WSNs. International Conference on Big Data and Advanced Wireless Technologies [Internet]. 2016.
Publisher's VersionAbstractWSNs consist of large number of small sensors densely deployed to monitor a phenomenon. Most of the data generated from the WSNs represent events happening at time intervals. Sometimes and according to the nature of the applications, this data stream is continuous and can reach high speeds. Therefore, adopting new techniques, platforms and tools to deal with this large amount of sensory data became necessary. Therefore, the Big Data paradigm can represent a good solution for the extraction, analysis, viewing, sharing, storage and transfer of such volume of data. This paper presents a survey on integrating Big Data tools for gathering, storing and analyzing the data generated by WSNs.
Boubiche S, Boubiche DE, Azzedine B.
Integrating Big data paradigm in WSNs. Proceedings of the International Conference on Big Data and Advanced Wireless Technologies. 2016 :1-4.
Boubiche S, Boubiche DE, Azzedine B.
Integrating Big data paradigm in WSNs. Proceedings of the International Conference on Big Data and Advanced Wireless Technologies. 2016 :1-4.
Boubiche S, Boubiche D-E, Bilami A.
Integrating Big data paradigm in WSNs. International Conference on Big Data and Advanced Wireless Technologies [Internet]. 2016.
Publisher's VersionAbstractWSNs consist of large number of small sensors densely deployed to monitor a phenomenon. Most of the data generated from the WSNs represent events happening at time intervals. Sometimes and according to the nature of the applications, this data stream is continuous and can reach high speeds. Therefore, adopting new techniques, platforms and tools to deal with this large amount of sensory data became necessary. Therefore, the Big Data paradigm can represent a good solution for the extraction, analysis, viewing, sharing, storage and transfer of such volume of data. This paper presents a survey on integrating Big Data tools for gathering, storing and analyzing the data generated by WSNs.
HAOUES C, DRIDI H, GERAND TSAINT, KALLA M.
Integrating GIS and AHP method for erosion vulnerability determination for LABIOD Watershed (Eastern Algeria). Carpathian Journal of Earth and Environmental SciencesCarpathian Journal of Earth and Environmental Sciences. 2016;11 :5-16.
HAOUES C, DRIDI H, GERAND TSAINT, KALLA M.
Integrating GIS and AHP method for erosion vulnerability determination for LABIOD Watershed (Eastern Algeria). Carpathian Journal of Earth and Environmental SciencesCarpathian Journal of Earth and Environmental Sciences. 2016;11 :5-16.