Browsing by Author "Baddari, Kamel"

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    Application of a radial basis function artificial neural network to seismic data inversion
    (Elsevier, 2009) Baddari, Kamel; Aïfa, Tahar; Djarfour, Noureddine; Ferahtia, Jalal
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    Degradation of poly(ether sulfone)/polyvinylpyrrolidone membranes by sodium hypochlorite : insight from advanced electrokinetic characterizations
    (American Chemical Society, 2014) Hanafi, Yamina; Szymczyk, Anthony; Rabiller-Baudry, Murielle; Baddari, Kamel
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    Distributed clutter-map constant false alarm rate detection using fuzzy fusion rules
    (Springer, 2019) Bouchelaghem, Houssameddine; Hamadouche, M'hamed; Soltani, Faouzi; Baddari, Kamel
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    Effect of stress-strain conditions on physical precursors and failure stages development in rock samples
    (2015) Baddari, Kamel; Frolov, Anatoly D.; Tourtchine, Victor; Rahmoune, Fayçal; Makdeche, Said
    Precursory stages of failure development in large rock samples were studied and simultaneous observations of the space-time variation of several physical fields were carried out under different stress-strain states. The failure process was studied in detail. A hierarchical structure of discreet rock medium was obtained after loading. It was found that the moisture reduced the rock strength, increased the microcrack distribution and influenced the shape of the failure physical precursors. The rise in temperature up to 400 °C affected the physical precursors at the intermediate and final stages of the failure. Significant variations were detected in the acoustic and electromagnetic emissions. The coalescence criterion was slightly depending on the rock moisture and temperature effect. The possibility of identifying the precursory stage of failure at different strain conditions by means of a complex parameter derived from the convolution of physical recorded data is shown. The obtained results point out the efficiency of the laboratory modelling of seismic processes
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    Electrokinetic analysis of PES/PVP membranes aged by sodium hypochlorite solutions at different pH
    (Elsevier, 2016) Hanafi, Yamina; Loulergue, Patrick; Ababou-Girard, Soraya; Meriadec, Cristelle; Rabiller-Baudry, Murielle; Baddari, Kamel; Szymczyk, Anthony
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    Generalized dynamical fuzzy model for identification and prediction
    (2014) Saad Saoud, Lyes; Rahmoune, Fayçal; Tourtchine, Victor; Baddari, Kamel
    In 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 results
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    Impulse noise reduction in 2D electrical resistivity imaging data based on fuzzy logic
    (IEEE, 2011) Ferahtia, J.; Djarfour, Noureddine; Baddari, Kamel; Khaldoun, Asmae
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    Incorporation of a non-linear image filtering technique for noise reduction in seismic data
    (Springer, 2010) Ferahtia, Jalal; Baddari, Kamel; Djarfour, Noureddine; Kassouri, Abdel Kader
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    Influence of PVP content on degradation of PES/PVP membranes : insights from characterization of membranes with controlled composition
    (Elsevier, 2017) Kourde-Hanafi, Yamina; Loulergue, Patrick; Szymczyk, Anthony; Van der Bruggen, Bart; Nachtnebel, Manfred; Rabiller-Baudry, Murielle; Audic, Jean-Luc; Pölt, Peter; Baddari, Kamel
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    An integrated study of the dynamics of electromagnetic and acoustic regimes during failure of complex macrosystems using rock blocks
    (Springer, 2011) Rahmoune, Fayçal; Tourtchine, Victor; Frolov, Anatoly D.; Baddari, Kamel
    The development of the failure process in complex macrosystems using large rock samples subjected to biaxial compression has been studied by means of electromagnetic radiation (EMR) and acoustic emission (AE). In order to increase the stage of macrofailure development, a special procedure of rock loading was used to reveal regularities of nucleation and evolution of electromagnetic and acoustic structures. The synchronised measurements of EMR and AE allowed the control of the stress–strain state in the rocks and the structural developments of fracturing. Nonhomogeneous distribution of the rock spatial crystalline structure subject to load leads to a mosaic distribution of EMR and AE characteristics. As a result, the crack scale effect may be observed in the EMR and AE structure behaviours. The EMR and AE following the failure at different levels behave differently according to the difference in the scale and type of cracks. Intense high-frequency EMR pulses were recorded during the initial stage of microcrack generation occurring prior to major failure of material. This was not the case for AE. The nucleation and development of the macroscopic progressive failure evolution caused an alternation in energetic and frequencial properties of electromagnetic and acoustic events. It has been detected that the tensile cracks were more efficient than shear cracks in capacity of EMR generation. The analysis of self potentials allowed reaching the maximum of registered anomalous variations in the stage of microcracking interaction. This stage showed an increase in the EMR activity, which implies the nucleation of microcracks in various regions of rock interfaces. The gradual accumulation of these defects led to weakening some parts of the rock along with a disintegration of electric anomalies, increase of AE and a significant fluctuation in the rate ofEMR. When crack concentration attains its critical value, which results in the formation of dangerous macroscopic failure of higher level, AE shows an intense activity as well as anEMRlower frequency. The hierarchical development of rock failure using the ratio of the average crack size and the mean distance between cracks as a statistical concentration criterion is used to control the boundary of the transition from small dispersed cracks accumulation to gradual crack merger and the formation of the main macrofailure. These results could be transferred into larger scale levels to forecast dynamic events in the earth crust
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    Les minéralisations associées aux formations volcaniques du damrane (chaines d’ougarta-Algérie)
    (2012) Remichi, Larbi; Ysbaa, Saadia; Baddari, Kamel
    Le Damrane, partie SO de l'Ougarta (Algérie), est une boutonnière à coeur de Précambrien volcanique et volcano-sédimentaire qui constitue un jalon entre le Précambrien de l'Anti-Atlas marocain et celui du Hoggar. Le Précambrien du Damrane est impliqué dans une structure anticlonoriale souple, de faible amplitude, de direction NI30/140, rattachée à l'orogenèse hercynienne. Les tectogenèses plus anciennes, connues ailleurs dans le Précambrien africain, ne sont pas marquées ici. La succession lithologique du Précambrien du Damrane, de bas en haut, en accordance montre : une séquence silteuse localement terminée par des grauwackes et des roches volcanosédimentaires, une séquence andésito-basaltique, une séquence rhyolitique couronnée par des volcanoclastites acides et par des grés. La séquence andésito-basaltique est constituée par un empilement de coulées plus ou moins bréchiques et vacuolaires, de basaltes et d'andésites recoupés par des corps mafiques intrusifs (sills et dykes). La séquence rhyolitique est formée par un empilement de nappes ignimbritiques recoupées par des corps intrusifs (stocks, dykes, filons). Du point de vue pétrologique, les roches mafiques et felsiques ne procèdent pas d'une suite unique évolutive. Les roches mafiques sont calco-alcalines alors que les roches felsiques sont aussi calco-alcalines mais proviennent d'une souche différente (Remichi, 1987). Les critères sédimentologiques et pétrographiques permettent de reconstituer une paléogéographie de type continental ou bordure continentale. Les minéralisations de l'Oued Damrane (Chaîne d'Ougarta), non économiques, sont représentées par deux types paragénétiques et associées exclusivement aux roches mafiques précambriennes. L'un à cuivre natif disséminé, lié à des basaltes vacuolaires et amygdalaires; ce type serait à rapprocher du modèle « Lac Supérieur (U.S.A)». L'autre est à sulfures (Cu, Pb, Zn) disséminés surtout dans les basaltes que dans les andésites et serait à rapprocher plutôt des « Mantos chiliens ». Toutes ces minéralisations sont tardi-à post- volcaniques et en relation avec un hydrothermalisme qui les précède, les accompagne et les suit. Cet hydrothermalisme se manifeste par des paragénèses secondaires à épidote, carbonates, zéolithes…
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    A novel method to forecast 24 h of global solar irradiation
    (Springer, 2017) Saoud, L. Saad; Rahmoune, F.; Tourtchine, V.; Baddari, Kamel
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    Probabilistic model to forecast earthquakes in the Zemmouri (Algeria) seismoactive area on the basis of moment magnitude scale distribution functions
    (2013) Baddari, Kamel; Makdeche, Said; Bellalem, Fouzi
    Based on the moment magnitude scale, a probabilistic model was developed to predict the occurrences of strong earthquakes in the seismoactive area of Zemmouri, Algeria. Firstly, the distributions of earthquake magnitudes M i were described using the distribution function F 0(m), which adjusts the magnitudes considered as independent random variables. Secondly, the obtained result, i.e., the distribution function F 0(m) of the variables M i was used to deduce the distribution functions G(x) and H(y) of the variables Y i = Log M 0,i and Z i = M 0,i , where (Y i)i and (Z i)i are independent. Thirdly, some forecast for moments of the future earthquakes in the studied area is given
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    Seismic noise attenuation by means of an anisotropic non-linear diffusion filter
    (Elsevier, 2011) Baddari, Kamel; Ferahtia, Jalal; Aïfa, Tahar; Djarfour, Noureddine
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    Seismic noise filtering based on Generalized Regression Neural Networks
    (Elsevier, 2015) Djarfour, Noureddine; Ferahtia, Jalal; Babaia, Foudel; Baddari, Kamel; Said, El-adj
    This paper deals with the application of Generalized Regression Neural Networks to the seismic data filtering. The proposed system is a class of neural networks widely used for the continuous function mapping. They are based on the well known nonparametric kernel statistical estimators. The main advantages of this neural network include adaptability, simplicity and rapid training. Several synthetic tests are performed in order to highlight the merit of the proposed topology of neural network. In this work, the filtering strategy has been applied to remove random noises as well as source-related noises from real seismic data extracted from a field in the South of Algeria. The obtained results are very promising and indicate the high performance of the proposed filter in comparison to the well known frequency–wavenumber filter