Ali ATHAMENA.
Flux azoté : origine et devenir dans les eaux souterraines, cas de la région de Zana-est Algérien. 2018.
AbstractNous avons essayé, par ce travail, d’apporter une contribution à l’étudier les aquifères de la plaine de Zana, et d’évaluer les risques de la pollution liée au flux azoté.La plaine de Zana fait partie du bassin versant des hauts plateaux constantinois et plus précisément du sous bassin versant Merdja Zana, qui s’étend sur une superficie de 369 Km² environ.L’étude de la géologie en association avec les données de la géophysique met en évidence l’existence de deux formations. La première formation, de surface d’âge Mio-Plio-Quaternaire formée par desniveaux de sable, de gravier, de calcaire lacustre et des intercalations argileuses. La deuxième formation, elle est carbonatée et formée essentiellement par des calcaires du Crétacé inférieur et du Jurassique supérieur de l’ensemble sud sétifien et du parautochtone aurésien. Le recouvrement de surface atteint dans certainsendroits les 150m d’épaisseur notamment au milieu de la plaine et une faible épaisseur au voisinage des massifs. Quant aux formations carbonatées elles ont 350m d’épaisseur.La géomorphologie, montre que notre bassin est allongé, il a une altitude moyenne de 935m et il est caractérisé par un relief modéré et de pente douce.Le réseau hydrographique est pet développer et de type endoréique avec un écoulement temporaire.L’étude climatologique a montré que la région d’étude a un climat semi aride avec un bilan hydrologique déficitaire.L’aperçu hydrogéologique de la plaine montre que les formations du Crétacé inférieur et du Jurassique supérieur peuvent offrir des possibilités aquifères très intéressantes de même que la formation superficielle, elle présente des potentialités aquifères non négligeables. La piézométrie montre une convergence vers les dépressions de Merdja de Zana et le Chott Saboun, qui représentent des exutoires naturels dela nappe.L’étude hydrochimique a permis d’attribuer l’origine évaporitique aux éléments Na+, Mg++, K+, Cl-,SO4–, quant à l’élément HCO3-, il est issu des formations carbonatées. Les deux compagnes d’analyses effectuées montrent que les eaux issues del’aquifère superficiel et de l’aquifère karstique ont le même faciès hydrochimique qui est de type chloruré et sulfaté magnésien, ce qui témoigne de l’existence d’une interaction probable entre les deux aquifères
Assia A.
Formulation mathématique d’un processus d’une épidémie dans une zone donnée. Premier congrès de la société algérienne d’infectiologie et 5e congrès de la fédération arabe des sociétés de microbiologie clinique et des maladies infectieuses. 2018.
Ben Attia H, KAHLOUL L, BENHARZALLAH S.
FRABAC: A new hybrid access control model for the heterogeneous multi-domain systems. International Journal of Management and Decision MakingInternational Journal of Management and Decision Making. 2018;17 :245-278.
Ben Attia H, KAHLOUL L, BENHARZALLAH S.
FRABAC: A new hybrid access control model for the heterogeneous multi-domain systems. International Journal of Management and Decision MakingInternational Journal of Management and Decision Making. 2018;17 :245-278.
Ben Attia H, KAHLOUL L, BENHARZALLAH S.
FRABAC: A new hybrid access control model for the heterogeneous multi-domain systems. International Journal of Management and Decision MakingInternational Journal of Management and Decision Making. 2018;17 :245-278.
Hayat D, MOULOUD YAHIA, Abdelali B.
Frequency and coexistence of the C677T and A1298C polymorphisms of the MTHFR gene in Aures region of Algeria. Biodiversitas Journal of Biological DiversityBiodiversitas Journal of Biological Diversity. 2018;19 :1169-1175.
Hayat D, MOULOUD YAHIA, Abdelali B.
Frequency and coexistence of the C677T and A1298C polymorphisms of the MTHFR gene in Aures region of Algeria. Biodiversitas Journal of Biological DiversityBiodiversitas Journal of Biological Diversity. 2018;19 :1169-1175.
Hayat D, MOULOUD YAHIA, Abdelali B.
Frequency and coexistence of the C677T and A1298C polymorphisms of the MTHFR gene in Aures region of Algeria. Biodiversitas Journal of Biological DiversityBiodiversitas Journal of Biological Diversity. 2018;19 :1169-1175.
Saidi A, Youb L, Naceri F, Belkacem S.
A Fuzzy Adaptive Control of Doubly Fed Induction Machine (DFIM). MATEC Web of Conferences. 2018;208 :03008.
Saidi A, Youb L, Naceri F, Belkacem S.
A Fuzzy Adaptive Control of Doubly Fed Induction Machine (DFIM). 3rd International Conference on Measurement Instrumentation and Electronics (ICMIE 2018) [Internet]. 2018.
Publisher's VersionAbstract
In this paper, we are interested in the adaptive fuzzy control a technique has been studied and applied, namely adaptive fuzzy control based on theory of Lyapunov. The system based on the stability theory is used to approximate the gains Ke and kdce to ensure the stability of the control in real time .the simulations results obtained by using Matlab environment gives that the fuzzy adaptive control more robust, also it has superior dynamics performances. The results and test of robustness will be presented.
Saidi A, Youb L, Naceri F, Belkacem S.
A Fuzzy Adaptive Control of Doubly Fed Induction Machine (DFIM). MATEC Web of Conferences. 2018;208 :03008.
Saidi A, Youb L, Naceri F, Belkacem S.
A Fuzzy Adaptive Control of Doubly Fed Induction Machine (DFIM). 3rd International Conference on Measurement Instrumentation and Electronics (ICMIE 2018) [Internet]. 2018.
Publisher's VersionAbstract
In this paper, we are interested in the adaptive fuzzy control a technique has been studied and applied, namely adaptive fuzzy control based on theory of Lyapunov. The system based on the stability theory is used to approximate the gains Ke and kdce to ensure the stability of the control in real time .the simulations results obtained by using Matlab environment gives that the fuzzy adaptive control more robust, also it has superior dynamics performances. The results and test of robustness will be presented.
Saidi A, Youb L, Naceri F, Belkacem S.
A Fuzzy Adaptive Control of Doubly Fed Induction Machine (DFIM). MATEC Web of Conferences. 2018;208 :03008.
Saidi A, Youb L, Naceri F, Belkacem S.
A Fuzzy Adaptive Control of Doubly Fed Induction Machine (DFIM). 3rd International Conference on Measurement Instrumentation and Electronics (ICMIE 2018) [Internet]. 2018.
Publisher's VersionAbstract
In this paper, we are interested in the adaptive fuzzy control a technique has been studied and applied, namely adaptive fuzzy control based on theory of Lyapunov. The system based on the stability theory is used to approximate the gains Ke and kdce to ensure the stability of the control in real time .the simulations results obtained by using Matlab environment gives that the fuzzy adaptive control more robust, also it has superior dynamics performances. The results and test of robustness will be presented.
Saidi A, Youb L, Naceri F, Belkacem S.
A Fuzzy Adaptive Control of Doubly Fed Induction Machine (DFIM). MATEC Web of Conferences. 2018;208 :03008.
Saidi A, Youb L, Naceri F, Belkacem S.
A Fuzzy Adaptive Control of Doubly Fed Induction Machine (DFIM). 3rd International Conference on Measurement Instrumentation and Electronics (ICMIE 2018) [Internet]. 2018.
Publisher's VersionAbstract
In this paper, we are interested in the adaptive fuzzy control a technique has been studied and applied, namely adaptive fuzzy control based on theory of Lyapunov. The system based on the stability theory is used to approximate the gains Ke and kdce to ensure the stability of the control in real time .the simulations results obtained by using Matlab environment gives that the fuzzy adaptive control more robust, also it has superior dynamics performances. The results and test of robustness will be presented.
Benmessaoud F, Chikhi A, Belkacem S.
Fuzzy Compensator of the Stator Resistance Variation of the DTC Driven Induction Motor Using Space Vector Modulation. In: Advances in Intelligent Systems and Computing. Vol. 845. © Springer Nature Switzerland AG 2019, ISBN: 978-3-319-99009-5 ; 2018.
Benmessaoud F, Chikhi A, Belkacem S.
Fuzzy Compensator of the Stator Resistance Variation of the DTC Driven Induction Motor Using Space Vector Modulation. International Conference on Advanced Intelligent Systems and Informatics. 2018 :89-97.
Benmessaoud F, Chikhi A, Belkacem S.
Fuzzy Compensator of the Stator Resistance Variation of the DTC Driven Induction Motor Using Space Vector Modulation. In: Advances in Intelligent Systems and Computing. Vol. 845. © Springer Nature Switzerland AG 2019, ISBN: 978-3-319-99009-5 ; 2018.
Benmessaoud F, Chikhi A, Belkacem S.
Fuzzy Compensator of the Stator Resistance Variation of the DTC Driven Induction Motor Using Space Vector Modulation. International Conference on Advanced Intelligent Systems and Informatics. 2018 :89-97.