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Senani M.,University Mohamed Khider of Biskra | Ferhoune N.,University of Larbi Ben Mhidi | Guettala A.,University Mohamed Khider of Biskra
Alexandria Engineering Journal | Year: 2016

In this study, we sought to use the crystallized sand slag of blast furnace in the production of ordinary concrete. The natural sand is substitute totally or partially by the crystallized sand slag in the composition of concrete. The characterization of these concretes was made based on their mechanical properties: compressive strength, tensile strength as well as durability: capillary, absorption of water and shrinkage. The experimental results of concrete that is the natural sand is replaced partially or completely by crystallized sand slag were compared with experimental results of ordinary concrete. Results show that the percentages of crystallized sand slag on the composition of concrete have an important effect on the mechanical proprieties of concrete. The comparison of different characteristics of the study in this work shows the benefits of use of crystallized sand slag in the composition of concrete compared with ordinary concrete, which confirms the possibility to use the crystallized sand slag in the manufacturing of concrete. © 2016 Faculty of Engineering, Alexandria University. Source


Berkane M.,University of Larbi Ben Mhidi | Berkane M.,University Claude Bernard Lyon 1 | Clarysse P.,University Claude Bernard Lyon 1 | Njiwa J.Y.,University Claude Bernard Lyon 1 | And 2 more authors.
Neural Network World | Year: 2010

This work relates to the study of periodic events such as the ones that can be observed in biomedicine. Currently, biological processes exhibiting a periodic behaviour can be observed through the continuous recording of signals or images. Due to various reasons, cycle duration may slightly vary over time. For further analysis, it is important to be able to extract meaningful information from the mass of acquired data. This paper presents a new neural network based method for the extraction of a summarized cycle from long and massive cycle recordings. Its concept is simple and it could be naturally implemented on a hardware architecture to speed up the process. The proposed method is demonstrated on synthetic image sequences of the beating heart, and exploited as a prior in a new approach for the fast reconstruction of Magnetic Resonance Image sequences. © ICS AS CR 2010. Source


Flamini G.,University of Pisa | Smaili T.,University of Larbi Ben Mhidi | Zellagui A.,University of Larbi Ben Mhidi | Gherraf N.,University of Larbi Ben Mhidi | Cioni P.L.,University of Pisa
Chemistry and Biodiversity | Year: 2013

The essential oils obtained by hydrodistillation from Daucus sahariensis Murb. harvested at three different growth stages were characterized by GC/MS analysis. In total, 88 compounds were identified, with myristicin (29.8-51.7%), myrcene (6.7-31.1%), α-pinene (11.6-14.8%), and limonene (5.3-11.5%) as main constituents. Monoterpene hydrocarbons were the most represented compounds in the oils of the plant samples collected during the flower-budding and full-flowering periods. On the contrary, during the fruiting stage, the oils were dominated by phenylpropanoids. The essential oils were subject of considerable variation in their composition during the various developmental stages, particularly concerning the content of myrcene that decreased significantly passing from the vegetative to the fruiting stage. Conversely, for myristicin, the opposite trend was observed. Furthermore, the essential-oil yields were quite low during the flower-budding phase (0.27%), but rapidly increased during plant development (0.63 and 0.68% for the flowering and fruiting phases, resp.). Copyright © 2013 Verlag Helvetica Chimica Acta AG, Zürich. Source

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