The pumping of liquid metals by magnetohydrodynamic (MHD) converters, without any moving parts are competing with conventional hydraulic pumps. Thus, the movement of the fluid is a consequence of the interaction the magnetic and electric fields. This work relates to the application of an approach for optimal design of a DC magneto-hydrodynamic pump. The optimization method is based on the solution of non-linear constrained problem by combination global and local optimization method. This paper applies the hybrid algorithm by combination of genetic algorithm and Fmincon for optimal design of DC MHD pump. The comparative study of the obtained results shows that the performance of the hybrid method is effectively improved.

The study of the water quality in the shallow aquifer of Tebessa-Morsott was carried out to perform a preliminary assessment of the hydrochemical quality of same groundwater samples and their suitability for irrigation uses. The high salinity coupled with groundwater level decline pose serious problems for current irrigation and domestic water supplies as well as for future exploitation. The statistical treatment of hydrochemical data by principal component analysis revealed two components related to salinity and pollution. The US salinity diagram illustrates that most of the groundwater samples fall in C3S1- C4S1 quality with high salinity hazard and low sodium hazard.

The study of the water quality in the shallow aquifer of Tebessa-Morsott was carried out to perform a preliminary assessment of the hydrochemical quality of same groundwater samples and their suitability for irrigation uses. The high salinity coupled with groundwater level decline pose serious problems for current irrigation and domestic water supplies as well as for future exploitation. The statistical treatment of hydrochemical data by principal component analysis revealed two components related to salinity and pollution. The US salinity diagram illustrates that most of the groundwater samples fall in C3S1- C4S1 quality with high salinity hazard and low sodium hazard.

The study of the water quality in the alluvial aquifer of Tebessa-Morsott basinwas carried out to perform a preliminary assessmentof the hydrochemical quality of same groundwater samples and their suitability for irrigation uses. The high salinity coupledwith groundwater level decline pose serious problems for current irrigation and domestic water supplies as well as for future exploitation. The statistical treatment of hydrochemical data by principal component analysis revealed two components related to salinity and pollution.The US salinity diagram illustrates that most of the groundwater samples fall in C3S1-C4S1 quality with high salinity hazard and low sodium hazard.

A hill reservoir research project aims, among other perspectives, to improve the regional agriculture potential through irrigation of small areas. For such a project, the feasibility study for a given area is fundamental before the establishment of any related applied research works. This paper is of a socio-economic relevance for the Timgad region (NE Algeria) as the presented results consist of a contribution of both socio-economic operators and policy makers. In the study area, water resources are closely related to the regional geology and the main objectives of the establishment of the Foum-Toub hill reservoir is to promote the irrigation of its plain, regulate the flow of the Foum-Toub creek and minimize the silting of the Koudiet Lemdaour dam. The selected sites for the construction of this work are characterized by an impermeable bedrock. Loose material, favorable to serve as borrow areas, can be supplied from the surrounding depressions where sandstone can also be used for the dike construction.

Gate engineering and highly doped source/drain region have been investigated to design a new DNA sensor for use in biomedical applications based on a double gate (DG) dielectric modulated (DM) junctionless (JL) metal oxide semiconductor field effect transistor (MOSFET) with triple material (TM) gate. Based on the dielectric modulation effect, DNA molecules in the nanogap cavity change due to the charge density of biomolecules, producing a change in the threshold voltage of the device. Analytical and numerical analysis was carried out to reveal the impact of physical parameters on the sensitivity of the proposed biosensor. Various characteristics, such as the surface potential, threshold voltage, and drain current were also investigated. The effectiveness of the proposed TM-DG-DM-JL-MOSFET structure with highly doped source/drain extensions is confirmed by comparison of the results with those for a conventional single-materiel (SM) gate DM-JL-MOSFET, revealing a good improvement in sensitivity and making the proposed structure an attractive solution for use in DNA-based sensor applications.

In this article, we present ARPM (Augmented Reality-based Preventive Maintenance) system, which aims at offering to the technician of a Cement Factory a virtual assistance in real time using various forms of 3D models, images or even texts, in order to help him to maintain and inspect his equipment. This system not only offers the possibility of reducing costs of the preventive maintenance, but also allows monitoring and even anticipating failures. In order to ensure a reliable maintenance operation, we adapted our system to be compatible with the CMMS system (Computerized Maintenance Management System) already exists in the Cement factory

A robust nonlinear controller based on an improved feedback linearization technique with state observer in presence of uncertainties and external disturbances is developed for a class of nonlinear systems. First, by combining classical feedback linearization approach with a robust control term and a fuzzy logic system, we design and study an efficient controller for such systems. Second, we propose an optimized extended Kalman filter for the observation of the states. The parameters to be optimized are the covariance matrices Q and G, which play an important role in the extended Kalman filter performances. This optimization is insured by the particle swarm optimization algorithm. The Lyapunov synthesis approach is used to prove the stability of the whole control loop. The proposed approach is simulated on a nonlinear inverted-pendulum system. Simulation results demonstrate the robustness and effectiveness of the proposed scheme and exhibit a more superior performance than its conventional counterpart.