Publications Internationales
Permanent URI for this collectionhttps://dspace.univ-boumerdes.dz/handle/123456789/13
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Item Morphological and molecular identification of a new halotolerant cyanobacterial strain, Limnospira fusiformis TL03, isolated from Telamine Lake in the northwest of Algeria(Sociedade Botanica do Brasil, 2025) Guenachi, Belkacem; Korteby Mefti, Hakima; Benfares, Redhouane; Abderrahmani, Khaled; Boudjema, Khaled; Achour, Hafsa Yaiche; Toumatia, Omrane; Bidin, Azmane; Lamari, LyndaThis study examines a new strain, Limnospira fusiformis TL03, isolated from Lake Telamine in northwest Algeria. The strain was morphologically identified using a light microscope and molecularly characterized using its 16S rRNA gene sequence. The effect of salinity on growth and photosynthetic pigments was studied using a spectrophotometric method; different sodium chloride concentrations (0, 5, 15, 30, 45, and 60 g/l) in blue-green medium (BG11) cultured uniformly as homogenized cell suspension were tested. A morphological examination confirmed that the isolated strain belonged to the Limnospira genus. It has trichome lengths ranging from 210-2027 µm, as well as pitch and coil diameters ranging from 30-137 µm and 20-60 µm, respectively. The data from the 16S rRNA gene sequence analysis confirmed that the isolated strain was Limnospira fusiformis TL03 with 100% sequence similarity to Limnospira fusiformis SAG 85.79. The results also indicate that this strain can grow at various salt concentrations, with the highest optical density values (1.58 ± 0.014 and 1.56 ± 0.003) obtained in cultures containing 15 g/L and 5 g/L NaCl, respectively.Item Generalized dynamical fuzzy model for identification and prediction(2014) Saad Saoud, Lyes; Rahmoune, Fayçal; Tourtchine, Victor; Baddari, KamelIn this paper, the development of an improved Takagi Sugeno (TS) fuzzy model for identification and chaotic time series prediction of nonlinear dynamical systems is proposed. This model combines the advantages of fuzzy systems and Infinite Impulse Response (IIR) filters, which are autoregressive moving average models, to create internal dynamics with just the control input. The structure of Fuzzy Infinite Impulse Response (FIIR) is presented, and its learning algorithm is described. In the proposed model, the Butterworth analogue prototype filters are estimated using the obtained membership functions. Based on the founding orders of the analogue filters, the IIR filters could be constructed. The IIR filters are introduced to each TS fuzzy rule which produces local dynamics. Gustafson-Kessel (GK) clustering algorithm is used to generate the clusters which will be used to find the number of the IIR parameters for each rule. The hybrid genetic algorithm and simplex method are used to identify the consequence parameters. The stability of the obtained model is studied. To demonstrate the performance of this modeling method, three examples have been chosen. Comparative results between the FIIR model on one hand, and the traditional TS fuzzy model, the neural networks and the neuro-fuzzy network on the other hand. The results show that the proposed method provides promising identification resultsItem A novel theory of reference reactive current identification based on the per unit system used for the active filters(2008) Abdelkhalek, Othmane; Benachaiba, C.; Benslimane, T.; Haidas, M.This paper, presents a new method of reactive current identification. The principle is based on the transformation of the voltage and current of the electrical supply network to the per unit system. The fundamental of the current is then obtained by extraction. This new method is compared to that of the theory pq. Interesting results were obtained with a satisfactory power factor correction