Publications Internationales
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Item Optimizing Foam Concrete Performance Using Mixed Foaming Method: Impact of Mixing Speed, Mixing Duration, And Foam Dosage(South Florida Journal of Development, 2024) Galoul, Riadh; Boumchedda, Khaled; Mebtouche, FaroukFoamed concrete has gained significant attention, especially in the field of thermal insulation and acoustic insulation. However, all production methods are based on the pre-foaming method, while the mixed foaming method is an infrequent approach that should be considered and could be challenging. For this reason, this paper attempt to highlight this method and valuate it on par with the pre-foaming method in the production of foamed concrete, both in terms of structure and performance. These performances are directly dependent on the pore structure of this material (pore size, porosity rate, and pore distribution). Therefore, a process has been developed for sample preparation to achieve a final product with a well-controlled size and distribution of porosity, meeting the desired performance criteria. This process involves varying the following parameters: mixing speed (from 400 to 1000 rpm), mixing time (from 2 to 12 minutes), and the dosage of foaming agent (from 0.05 to 0.2%). The effect of mixing speed, mixing duration and the dosage of the foaming agent on the generated foam rate, density, structure at the millimeter scale, structure at the micrometer scale, and thermal conductivity was demonstrated. The obtained results show that with a generated foam rate extending to 79%, a density reaching 428 kg/m3, and a thermal conductivity achieving 0.181 w/k.m, the mixed foaming method becomes an important and competitive approach to the pre- foaming method in the production of foamed concrete.Item Implementation of Battery Characterization System(MDPI, 2023) Zermout, Abdelaziz; Belaidi, Hadjira; Maache, AhmedThe successful transfer toward green renewable energy depends heavily on good, reliable Energy Storage Systems (ESS). Lithium-ion batteries are the preferred choice for many applications; however, they need careful management, especially an accurate State-Of-Charge (SOC) estimation. Hence, in this paper an overview of some SOC estimation methods is briefly described; then, an automated battery cell test system prototype that will enable further improvement is designed and implemented. Some tests are conducted on an aged lithium-ion cell and the obtained results are satisfactory and accurate with an error of around 0.5 × 10−3 (V or A), thus validating the proposed prototype.Item Battery's Data Transmission Protocol(Algerian journal of signals and system, 2025) Zermout, Abdelaziz; Saidi, Yasmine; Kaddour, Djillali; Belaid, Hadjira; Adaika ,Omnia; Bahoussi, NedjwaThis paper examines developing and implementing a robust communication protocol designed for real-time monitoring and control of battery systems. The implemented system gathers critical data from the battery, including voltage, current, and State of Charge (SoC). This data is transmitted to a Raspberry Pi microcontroller at five-second intervals. The Raspberry Pi serves as an intermediary, forwarding the data to a dedicated webpage for visualization and analysis. Furthermore, the data is stored in an InfluxDB database, facilitating long-term storage and utilization. This database supports the generation of graphical representations, thereby enhancing the interpretation of battery performance trends and enabling informed decision-making regarding battery management strategies. The comprehensive nature of this system provides real-time insights into battery health and performance, ensuring effective monitoring and control across various applications.Item New criteria for wrapper feature selection to enhance bearing fault classification(SAGE, 2023) Sahraoui, Mohammed Amine; Rahmoune, Chemseddine; Meddour, Ikhlas; Bettahar, Toufik; Zair, MohamedClassification is a critical task in many fields, including signal processing and data analysis. The accuracy and stability of classification results can be improved by selecting the most relevant features from the data. In this paper, a new criterion for feature selection using wrapper method is proposed, which is based on the evaluation of the classification results according to the accuracy and stability (standard deviation) of each class and the number of selected features. The pro- posed method is evaluated using Random Forest (RF) and Ant Colony Optimization (ACO) algorithms on a benchmark dataset. Results show that the proposed method outperforms classical feature selection methods in terms of accuracy and stability of classification results, especially for the difficult-to-classify combined damage class. This study demon- strates the effectiveness of the proposed new wrapper feature selection criterion to improve the performance of classifi- cation algorithms with higher stability (STD: C1 = 0.5, C2 = 0.8, C3 = 0.6, C4 = 1.8) and better accuracy (average C1 = 98.5%, C2 = 96.6%, C3 = 9.5%, C4 = 93) for the both; the statoric current and the vibration signal compared to other techniques. Machine learning methods had proven their efficiency in time-varying machines fault diagnosis when taking vibration signals and statoric currents extracted features as inputs. However, the use of the both demonstrated a higher robustness and a remarkable superiority.Item Maximizing enhanced oil recovery via oxidative cracking of crude oil: employing air injection and H2O2 with response surface methodology optimization(IOP publishing, 2024) Nouari, Omar; Hammadou née Mesdour, Souad; Boudjemaa, HamadaThe utilization of air injection as a method to enhance oil recovery in oil fields has gained prominence due to its cost-effectiveness and widespread availability, particularly in heavy oil production. This study focuses on optimizing the oxidative cracking process of Algerian crude oil by employing air injection supplemented with H2O2 and analyzing the interaction of key operating parameters like temperature and catalyst amount using response surface methodology. The predicted values derived from the response functions closely aligned with experimental data, demonstrating high accuracy (R2= 0.9727 for liquid oil, R2= 0.9176 for residue, and R2= 0.7399 for gas phases). Using the developed second-order model, optimal conditions were determined through contour and surface plots, as well as regression equation analysis using Design software. At these optimal parameters (14.78 wt% of H2O2, 2 l min−1 of air flow, 100 ml of crude oil at 354.05 °C for 40 min), the oxidative cracking process yielded 96.32% liquid oil, 3.018% residue, and 0.662% gas products. Notably, the experimental produced liquid oil constituted 96.07 vol. %, matching well with the optimization outcomes. Physicochemical analysis of liquid product phase obtained from oxidative cracking process of petroleum confirmed the prevalence of light aliphatic compounds(C2-C11) at 70.59%, alongside 29.41% of C12-C36. The process also resulted in reduced viscosity, density, refractive index, and sulfur content in the liquid phase. The combination of air injection and H2O2 showcases promise in recovering residual oil effectively and contributes to the ongoing advancements in EOR techniques.Item Incorporating Memes in the Algerian EFL Classroom: Possible Aspirations and Impediments(Ecole normale supérieure de Bouzaréah, 2024-03-31) Sellami, Amina; Meftah, YazidOver the last few years, growing attentiveness towards modernizing ELT practices in Algeria has been considered. Nowadays’ learners bring to the classroom different needs and preferences which cannot be easily satisfied through traditional pedagogies, instead, more creative teaching practices are desired. This study, therefore, is an attempt to probe Algerian EFL teachers’ attitudes towards the possibility of incorporating memes-based learning in their EFL classroom. Also, it sheds light on the potential merits and possible challenges teachers might face when using memes. To attain these aims, an online questionnaire was administered to 41 random Algerian university teachers of English. The findings revealed that the participants have positive attitudes towards memes-based learning. They assumed that using memes may engage learners, lower their affective domains, and motivate them, even though they are hard to collect, understand, and time-consuming. Based on the findings, some practical implications for implementing memes-based learning in Algeria are suggested.Item An efficient method to solve the Schrödinger equation with complex PT-symmetric potentials(World Scienti¯c Publishing Company, 2023) Rouabhi, Fatma Zohra; Ami, I.; Mezhoud, R.; Lombard, R. J.In this work, we present a simple and efficient method to compute numerically the eigenvalues of complex PT-symmetric Hamiltonian. Numerous works have been devoted to such Hamiltonians since the discovery that they admit totally or partially real spectra. To our knowledge, the method we are advocating has not been used in this context. Besides the determination of real eigenvalues, it allows us to observe the symmetry breaking and to calculate the imaginary parts of the energy.Item Anticancer and antiproliferative activities of Algerian Origanum majorana L.’s essential oil on PC-3 and SKBR3 cells(Taylor and francis, 2024) Hafid, Nourehouda; Bouchenak, Ouahiba; Serttas, Riza; Bouhenna, Mustapha Mounir; Khiari, Ouiza; Oussaid, Sounia; Suat, ErdoganCancer is a prominent cause of death globally, with breast cancer and prostate cancer being among the most devastating types. Therefore, the available anticancer treatments have some drawbacks, like higher toxicity and limited bioavailability. Thus, this study aimed to investigate for the first time the anticancer activity of Algerian Origanum majorana L.’s essential oil (OMEO). This research assessed the chemical profile of Algerian OMEO by gas chromatography coupled with mass spectrometry (GC-MS). The analysis revealed 29 compounds, which represent 98.08% of total volatile oil. The major compounds identified in OMEO were terpinen-4-ol (21.37%), γ-terpinene (15.78%), α-terpinene (10.43%), and trans-sabinene hydrate (9.27%). Additionally, MTT (3-(4,5-dimethylthiazol- 2-yl)-2,5-diphenyl tetrazolium bromide) was also used to test the cytotoxicity on prostate cancer (PC-3), breast cancer (SKBR3), and normal retinal pigment epithelium (ARPE-19) cell lines. The results showed a selective cytotoxicity effect by decreasing cell viability of PC-3 cancer cells with half inhibitory concentration (IC50) of 608.57 μg/mL and 672.5 μg/mL after 48h and 72h, respectively. Regarding SKBR3 cancer cells, the IC50 was 991.5 μg/mL. OMEO exhibited no significant cytotoxicity against normal (ARPE-19) cells. Furthermore, we conducted a cell apoptosis assay using Hochest 33342 dye to explore the potential mechanism pathway of OMEO. The findings verified that OMEO could trigger apoptosis in PC-3 and SBKR3 cancer cells. The ability of OMEO to inhibit cell migration assessed via wound healing assay revealed a significant decrease in cell migration. Our results imply that OMEO decreases cell viability by inducing cell apoptosis. Moreover, the oil suppresses cell migration in prostate cancer and breast cancer cells.Item Experimental analysis and numerical simulation of the behavior of smart sandwich beams in magnetorheological elastomer–honeycomb(Springer, 2023) Guenfoud, L.; Chikh, N.; Aguib, S.; Djedid, T.; Kobzili, L.; Nour, A.; Meloussi, M.Composite structures based on magnetorheological elastomers are widely used in many industrial sectors, such as the automotive, naval, railway, aeronautical, aerospace, and building industries because of their adjustable mechanical properties by an external stimulus. In this work, the experimental tests and the numerical simulation carried out have shown that the use of these new structures, developed from a honeycomb core and a MRE core with aluminum skins, makes it possible to improve in a particular way the overall rigidity and to reduce the vibration amplitudes. The results showed that these new hybrid structures have a very good mechanical resistance due mainly to the honeycomb core and a very good shock absorber due mainly to the core of the magnetorheological elastomer. The elaborated composite structure is intended to be used in industrial sectors subject to great efforts and a high amplitude of vibration such as helicopter wings and air turbines.Item Data aggregation point placement optimization in Smart Metering Networks(JES, 2024) Grainat, Youcef; Recioui, Abdelmadjid; Oubelaid, AdelThis study explores the application of Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) within the framework of smart grids (SG), specifically for the optimal placement of data aggregation points (DAPs) across a network of 150 Z-wave smart meters distributed within various smart cities. The investigation aims to identify which of the two- optimization strategies offers a more cost-efficient solution while evaluating their performance in terms of transmission average latency (AL) and execution time (ET) efficiency. The results indicate that although ACO slightly edges out PSO in reducing overall costs in networks with a higher complexity and more DAPs, PSO demonstrates superior performance in execution speed, lower AL, and total cost, underscoring its viability for swift integration in smart metering infrastructures.