SLIMANI S, Ben-Ammar A, Ladjouze-Rezig A.
Connective tissue after heavy exposure to silica: a report of nine cases in stonemasons. Clin Rheumatol. 2010;29:531-3.Clin Rheumatol. 2010;29:531-3. 2010.
Saber B, Okba K.
Context-based Query Answering for Semantic Interoperable Information Systems. Journal of Intelligent Computing VolumeJournal of Intelligent Computing Volume. 2010;1 :183.
ALLOUI Z, Vasseur P.
Convection in superposed fluid and porous layers. Acta mechanicaActa mechanica. 2010;214 :245-260.
Alloui Z, Robillard L, Vasseur P.
Density maximum effect on Soret-induced natural convection in a square porous cavity. Fluid dynamics researchFluid dynamics research. 2010;42 :055507.
Haddoun A, Benbouzid MEH, Diallo D, Abdessemed R, Ghouili J, Srairi K.
Design and implementation of an electric differential for traction application. 2010 IEEE Vehicle Power and Propulsion Conference. 2010 :1-6.
Redha MENANIM.
Détermination des sites de recharge artificielle de l’aquifère alluvial de la plaine d’El Madher (Région de Batna, Nord-Est algérien). Bulletin du Service Géologique National de l’ANGCMBulletin du Service Géologique National de l’ANGCM. 2010;Vol. 21 :pp. 329-347.
MESMOUDI K, SOUDANI A, BOURNET PE.
The determination of the inside air temperature of a greenhouse with tomato crop, under hot and arid climates. 2010;Vol. 5 :pp 114-127.
Abstract Up to now, few studies were devoted to the description of the energy balance components of a greenhouse located in the semi arid region of the southern Mediterranean basin, and no attention was paid to the prediction of the inside air temperature. In this study, experiments were undertaken to investigate the response of a greenhouse to the outside climate conditions considering a naturally ventilated Venlo glasshouse with a tomato crop. The measurements show that the difference between inside and outside air temperature is strongly linked to the incoming solar radiation as well as to the wind speed. From these results a simplified model was established to predict the greenhouse air temperature, knowing the greenhouse characteristics and the outside climate variables. The model is based on the energy balance of the greenhouse. Using a parameter identification technique, the model was calibrated against the experimental results. A sensivity analysis was conducted to assess the impact of several physical parameters such as solar radiation, wind speed and cover transmission on the evolution of the inside air temperature. This model appears to be suitable for predicting the greenhouse air temperature satisfactorily, at least during night