Publications

2017
BAKIR N, Abbeche K, Panczer G. Experimental study of the effect of the glass fibers on reducing collapse of a collapsible soil. Geomechanics and EngineeringGeomechanics and Engineering. 2017;12 :71-83.
Titah M, Aitouche S, Mouss MD, Soussa A. Externalising and reusing of tacit knowledge in manufacturing task. International Journal of Knowledge Management StudiesInternational Journal of Knowledge Management Studies. 2017;8 :351-374.
Titah M, Aitouche S, Mouss MD, Soussa A. Externalising and reusing of tacit knowledge in manufacturing task. International Journal of Knowledge Management StudiesInternational Journal of Knowledge Management Studies. 2017;8 :351-374.
Titah M, Aitouche S, Mouss MD, Soussa A. Externalising and reusing of tacit knowledge in manufacturing task. International Journal of Knowledge Management StudiesInternational Journal of Knowledge Management Studies. 2017;8 :351-374.
Titah M, Aitouche S, Mouss MD, Soussa A. Externalising and reusing of tacit knowledge in manufacturing task. International Journal of Knowledge Management StudiesInternational Journal of Knowledge Management Studies. 2017;8 :351-374.
Srairi F, Saidi L, Hassam A. F. SRAIRI, L. SAIDI, A. HASSAMModeling Control and Optimization of a New Swimming Microrobot Using Flatness-Fuzzy-Based Approach for Medical Applications. Arabian Journal for Science and EngineeringArabian Journal for Science and Engineering. 2017;9 :3249–3258.Abstract
Recently, researches in the interventional microrobots have taken the lion’s share in the field of biomedical devices. The aim of biomedical microrobots is to reach inaccessible areas of the human body and deliver drugs in high position. This work presents a new approach to elaborate a new physics-based model for novel self-propelled swimming microrobots. The robot is composed of an ellipsoidal head and hybrid tail that are propelled by a joint polymer metal composite actuator. Green’s function is used to solve the coupled elastic/fluid problems caused by the vibrating hybrid tail in a fluid. This method allowed producing the velocity of microrobot. For the control of the swimming microrobot in hazardous environment, the flatness-fuzzy-based control strategy is developed to eliminate the effect of nonlinear model and to generate the optimal trajectory of flat outputs. The fuzzy technique is aimed to adjust the law control gains in real time for improving the precision of the proposed microrobot in tracking the desired trajectory in fluid. The multi-objectives genetic algorithm is employed to optimize both the reference trajectory and the design parameters in order to enhance the time response and to minimize the dynamic tracking error of the trajectory. To achieve this, a numerical model based on accurate solutions of Navier–Stokes equations is developed. The results of the simulation show that the proposed design with ellipsoidal head gives better performance in comparison with that achieved by the conventional structure.
Srairi F, Saidi L, Hassam A. F. SRAIRI, L. SAIDI, A. HASSAMModeling Control and Optimization of a New Swimming Microrobot Using Flatness-Fuzzy-Based Approach for Medical Applications. Arabian Journal for Science and EngineeringArabian Journal for Science and Engineering. 2017;9 :3249–3258.Abstract
Recently, researches in the interventional microrobots have taken the lion’s share in the field of biomedical devices. The aim of biomedical microrobots is to reach inaccessible areas of the human body and deliver drugs in high position. This work presents a new approach to elaborate a new physics-based model for novel self-propelled swimming microrobots. The robot is composed of an ellipsoidal head and hybrid tail that are propelled by a joint polymer metal composite actuator. Green’s function is used to solve the coupled elastic/fluid problems caused by the vibrating hybrid tail in a fluid. This method allowed producing the velocity of microrobot. For the control of the swimming microrobot in hazardous environment, the flatness-fuzzy-based control strategy is developed to eliminate the effect of nonlinear model and to generate the optimal trajectory of flat outputs. The fuzzy technique is aimed to adjust the law control gains in real time for improving the precision of the proposed microrobot in tracking the desired trajectory in fluid. The multi-objectives genetic algorithm is employed to optimize both the reference trajectory and the design parameters in order to enhance the time response and to minimize the dynamic tracking error of the trajectory. To achieve this, a numerical model based on accurate solutions of Navier–Stokes equations is developed. The results of the simulation show that the proposed design with ellipsoidal head gives better performance in comparison with that achieved by the conventional structure.
Srairi F, Saidi L, Hassam A. F. SRAIRI, L. SAIDI, A. HASSAMModeling Control and Optimization of a New Swimming Microrobot Using Flatness-Fuzzy-Based Approach for Medical Applications. Arabian Journal for Science and EngineeringArabian Journal for Science and Engineering. 2017;9 :3249–3258.Abstract
Recently, researches in the interventional microrobots have taken the lion’s share in the field of biomedical devices. The aim of biomedical microrobots is to reach inaccessible areas of the human body and deliver drugs in high position. This work presents a new approach to elaborate a new physics-based model for novel self-propelled swimming microrobots. The robot is composed of an ellipsoidal head and hybrid tail that are propelled by a joint polymer metal composite actuator. Green’s function is used to solve the coupled elastic/fluid problems caused by the vibrating hybrid tail in a fluid. This method allowed producing the velocity of microrobot. For the control of the swimming microrobot in hazardous environment, the flatness-fuzzy-based control strategy is developed to eliminate the effect of nonlinear model and to generate the optimal trajectory of flat outputs. The fuzzy technique is aimed to adjust the law control gains in real time for improving the precision of the proposed microrobot in tracking the desired trajectory in fluid. The multi-objectives genetic algorithm is employed to optimize both the reference trajectory and the design parameters in order to enhance the time response and to minimize the dynamic tracking error of the trajectory. To achieve this, a numerical model based on accurate solutions of Navier–Stokes equations is developed. The results of the simulation show that the proposed design with ellipsoidal head gives better performance in comparison with that achieved by the conventional structure.
KADRI O, Mouss LH, Abdelhadi A. Fault diagnosis for a milk pasteurisation plant with missing data. International Journal of Quality Engineering and TechnologyInternational Journal of Quality Engineering and Technology. 2017;6 :123-136.
KADRI O, Mouss LH, Abdelhadi A. Fault diagnosis for a milk pasteurisation plant with missing data. International Journal of Quality Engineering and TechnologyInternational Journal of Quality Engineering and Technology. 2017;6 :123-136.
KADRI O, Mouss LH, Abdelhadi A. Fault diagnosis for a milk pasteurisation plant with missing data. International Journal of Quality Engineering and TechnologyInternational Journal of Quality Engineering and Technology. 2017;6 :123-136.
Ouarlent Y. Fer injectable et thrombophlébite à propos de deux cas. 2017.
MENNOUNI ABDELAZIZ, Youkana A. FINITE TIME BLOW-UP OF SOLUTIONS FOR A NONLINEAR SYSTEM OF FRACTIONAL DIFFERENTIAL EQUATIONS. Electronic Journal of Differential EquationsElectronic Journal of Differential Equations. 2017;2017 :1–15.
MENNOUNI ABDELAZIZ, Youkana A. FINITE TIME BLOW-UP OF SOLUTIONS FOR A NONLINEAR SYSTEM OF FRACTIONAL DIFFERENTIAL EQUATIONS. Electronic Journal of Differential EquationsElectronic Journal of Differential Equations. 2017;2017 :1–15.
Loucif L, Cherak Z, Chamlal N, Bendjama E, Gacemi-Kirane D, Grainat N, Rolain J-M. First detection of VIM-2 metallo-β-lactamase-producing Pseudomonas putida in Blattella germanica cockroaches in an Algerian hospital. Antimicrobial agents and chemotherapyAntimicrobial Agents and Chemotherapy. 2017;61 :e00357-17.
Loucif L, Cherak Z, Chamlal N, Bendjama E, Gacemi-Kirane D, Grainat N, Rolain J-M. First detection of VIM-2 metallo-β-lactamase-producing Pseudomonas putida in Blattella germanica cockroaches in an Algerian hospital. Antimicrobial agents and chemotherapyAntimicrobial Agents and Chemotherapy. 2017;61 :e00357-17.
Loucif L, Cherak Z, Chamlal N, Bendjama E, Gacemi-Kirane D, Grainat N, Rolain J-M. First detection of VIM-2 metallo-β-lactamase-producing Pseudomonas putida in Blattella germanica cockroaches in an Algerian hospital. Antimicrobial agents and chemotherapyAntimicrobial Agents and Chemotherapy. 2017;61 :e00357-17.
Loucif L, Cherak Z, Chamlal N, Bendjama E, Gacemi-Kirane D, Grainat N, Rolain J-M. First detection of VIM-2 metallo-β-lactamase-producing Pseudomonas putida in Blattella germanica cockroaches in an Algerian hospital. Antimicrobial agents and chemotherapyAntimicrobial Agents and Chemotherapy. 2017;61 :e00357-17.
Loucif L, Cherak Z, Chamlal N, Bendjama E, Gacemi-Kirane D, Grainat N, Rolain J-M. First detection of VIM-2 metallo-β-lactamase-producing Pseudomonas putida in Blattella germanica cockroaches in an Algerian hospital. Antimicrobial agents and chemotherapyAntimicrobial Agents and Chemotherapy. 2017;61 :e00357-17.
Loucif L, Cherak Z, Chamlal N, Bendjama E, Gacemi-Kirane D, Grainat N, Rolain J-M. First detection of VIM-2 metallo-β-lactamase-producing Pseudomonas putida in Blattella germanica cockroaches in an Algerian hospital. Antimicrobial agents and chemotherapyAntimicrobial Agents and Chemotherapy. 2017;61 :e00357-17.

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