يعرض 1 - 10 نتائج من 417 نتيجة بحث عن '"Bouallouche, A."', وقت الاستعلام: 0.81s تنقيح النتائج
  1. 1
    مؤتمر

    المساهمون: Laboratoire de Modélisation et Optimisation des Systèmes Béjaïa (LAMOS), Université Abderrahmane Mira Béjaïa, Institut Supérieur des études technologiques de Sfax, Institut Supérieur des études technologiques de Mahdia

    المصدر: Colloque sur les Objets et Systèmes Connectés 2023 ; https://hal.science/hal-04219657Test ; Colloque sur les Objets et Systèmes Connectés 2023, Institut Supérieur des études technologiques de Sfax; Institut Supérieur des études technologiques de Mahdia, Jun 2023, Mahdia, Tunisie

    جغرافية الموضوع: Mahdia, Tunisia

    الوصف: International audience ; Architecture d'Analyse de Big Data Basée sur l'Apprentissage Profond pour le Stationnement Intelligent: Étude et Comparaison des Outils

  2. 2
    مؤتمر

    المساهمون: Laboratoire de Modélisation et Optimisation des Systèmes Béjaïa (LAMOS), Université Abderrahmane Mira Béjaïa, Institut Supérieur des études technologiques de Sfax, Institut Supérieur des études technologiques de Mahdia

    المصدر: Colloque sur les Objets et Systèmes Connectés 2023 ; https://hal.science/hal-04219667Test ; Colloque sur les Objets et Systèmes Connectés 2023, Institut Supérieur des études technologiques de Sfax; Institut Supérieur des études technologiques de Mahdia, Jun 2023, Mahdia, Tunisie

    جغرافية الموضوع: Mahdia, Tunisia

    الوصف: International audience ; Reinforcement Learning Based Communication Protocols for Industrial WSNs: A Critical Mini-Review.

  3. 3
    دورية أكاديمية

    المساهمون: Université Yahia Fares de Médéa, Université des Sciences et de la Technologie Houari Boumediene = University of Sciences and Technology Houari Boumediene Alger (USTHB), Centre de Recherche Scientifique et Technique en Analyses Physico-Chimiques (CRAPC), Université Ferhat-Abbas Sétif 1 Sétif (UFAS1), Institut des Sciences Chimiques de Rennes (ISCR), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Ecole Nationale Supérieure de Chimie de Rennes (ENSCR)-Institut de Chimie - CNRS Chimie (INC-CNRS)-Centre National de la Recherche Scientifique (CNRS), Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Université de Sfax, Université de Sfax - University of Sfax, Newcastle University Newcastle, Université Mohamed Akli Ouelhadj de Bouira (UMAOB), None

    المصدر: ISSN: 2227-9717 ; Processes ; https://hal.science/hal-04164301Test ; Processes, 2023, 11 (5), pp.1314. ⟨10.3390/pr11051314⟩.

    الوصف: International audience ; This research aimed to study the effects of individual components on the physicochemical properties of systems composed of surfactants, polymers, oils, and electrolytes in order to maximize the recovery efficiency of kerosene while minimizing the impact on the environment and human health. Four independent factors, namely anionic surfactant sodium dodecylbenzene sulfonate (X1) (SDBS), oil (X2) (kerosene), water-soluble polymer poly(ethylene glycol) (X3) (PEG), and sodium chloride (X4) (NaCl), were studied using the full factorial design (FFD) model. Four output variables, namely conductivity (Y1), turbidity (Y2), viscosity (Y3), and interfacial tension (IFT) (Y4), were taken as the response variables. All four FFD models have high coefficients of determination and low errors. The developed models were used in a multi-objective optimization (MOO) framework to determine the optimal conditions. The obtained optimal conditions are X1 = 0.01, X2 = 50, X3 = 5, and X4 = 0.1, with an error of 0.9414 between the predicted and experimental objective function values. This result shows the efficiency of the model developed and the system used for the recovery of kerosene, while also having a positive effect on the protection of the environment. © 2023 by the authors.

  4. 4
    دورية أكاديمية

    المصدر: Processes; Volume 11; Issue 5; Pages: 1314

    جغرافية الموضوع: agris

    الوصف: This research aimed to study the effects of individual components on the physicochemical properties of systems composed of surfactants, polymers, oils, and electrolytes in order to maximize the recovery efficiency of kerosene while minimizing the impact on the environment and human health. Four independent factors, namely anionic surfactant sodium dodecylbenzene sulfonate (X1) (SDBS), oil (X2) (kerosene), water-soluble polymer poly(ethylene glycol) (X3) (PEG), and sodium chloride (X4) (NaCl), were studied using the full factorial design (FFD) model. Four output variables, namely conductivity (Y1), turbidity (Y2), viscosity (Y3), and interfacial tension (IFT) (Y4), were taken as the response variables. All four FFD models have high coefficients of determination and low errors. The developed models were used in a multi-objective optimization (MOO) framework to determine the optimal conditions. The obtained optimal conditions are X1 = 0.01, X2 = 50, X3 = 5, and X4 = 0.1, with an error of 0.9414 between the predicted and experimental objective function values. This result shows the efficiency of the model developed and the system used for the recovery of kerosene, while also having a positive effect on the protection of the environment.

    وصف الملف: application/pdf

    العلاقة: Biological Processes and Systems; https://dx.doi.org/10.3390/pr11051314Test

  5. 5
    تقرير

    الوصف: We propose in this article a M/G/c/c state dependent queuing model for road traffic flow. The model is based on finite capacity queuing theory which captures the stationary density-flow relationships. It is also inspired from the deterministic Godunov scheme for the road traffic simulation. We first present a reformulation of the existing linear case of M/G/c/c state dependent model, in order to use flow rather than speed variables. We then extend this model in order to consider upstream traffic demand and downstream traffic supply. After that, we propose the model for two road sections in tandem where both sections influence each other. In order to deal with this mutual dependence, we solve an implicit system given by an algebraic equation. Finally, we derive some performance measures (throughput and expected travel time). A comparison with results predicted by the M/G/c/c state dependent queuing networks shows that the model we propose here captures really the dynamics of the road traffic.
    Comment: 20 pages

    الوصول الحر: http://arxiv.org/abs/1706.00962Test

  6. 6
    تقرير

    مصطلحات موضوعية: Computer Science - Performance

    الوصف: In this paper, we present a stochastic queuing model for the road traffic, which captures the stationary density-flow relationships in both uncongested and congestion conditions. The proposed model is based on the $M/g/c/c$ state dependent queuing model of Jain and Smith, and is inspired from the deterministic Godunov scheme for the road traffic simulation. We first propose a reformulation of the $M/g/c/c$ state dependent model that works with density-flow fundamental diagrams rather than density-speed relationships. We then extend this model in order to consider upstream traffic demand as well as downstream traffic supply. Finally, we calculate the speed and travel time distributions for the $M/g/c/c$ state dependent queuing model and for the proposed model, and derive stationary performance measures (expected number of cars, blocking probability, expected travel time, and throughput). A comparison with results predicted by the $M/g/c/c$ state dependent queuing model shows that the proposed model correctly represents the dynamics of traffic and gives good performances measures. The results illustrate the good accuracy of the proposed model.

    الوصول الحر: http://arxiv.org/abs/1612.09532Test

  7. 7
    دورية أكاديمية
  8. 8
    دورية أكاديمية

    المصدر: Global Journal of Engineering and Technology Advances 6(1) 051-056

    الوصف: The application of solar drying of lemon by solar air sensors to determine the ideal temperature of the lemon drying air in order to preserve the quality such as the freshness and flavor of the lemon and therefore all the properties of the lemon. lasting way and the freshness of the skin. Fiber rich in white fibers are rich in antioxidants and reduce cholesterol. The lime is not ripe on the other hand, the lemon get ripe. Lime is smaller than a lemon, its bark is green, and it is less juicy but still sour. The fruit that is not ripe can not be dried by the variable baffle solar air sensor.

  9. 9
    مؤتمر
  10. 10