Publications Scientifiques

Permanent URI for this communityhttps://dspace.univ-boumerdes.dz/handle/123456789/10

Browse

Search Results

Now showing 1 - 10 of 4902
  • Thumbnail Image
    Item
    Entropy generation of Al2O3/water nanofluid in corrugated channels
    (Journal of Thermal Engineering, 2023) Saoudi, Leila; Zeribi, Nordine
    The flow of nanofluids in a corrugated channel has been shown to have a significant impact on heat transfer performance, and has therefore become an important area of research. The ob- jective of this paper is to understand the thermal behavior of Al2O3/water nanofluid in a sinu- soidal and square channel and to identify ways to optimize heat transfer performance in such configurations. For this purpose, a numerical simulation was conducted using ANSYS-Fluent software 16.0 on entropy generation and thermo-hydraulic performance of a wavy channel with the two corrugation profiles (sinusoidal and square). The analyses were carried out under laminar forced convection flow conditions with constant heat flux boundary conditions on the walls. The influence of various parameters, such as particle concentration (0–5%), particle di- ameter (10nm , 40nm and 60nm), and Reynolds number (200 < Re < 800) on the heat transfer, thermal, and frictional entropy generation, and Bejan number was analyzed. Moreover, the distribution of streamlines and static temperature contours has been presented and discussed, and a correlation equation for the average Nusselt number based on the numerical results is presented. One of the most significant results obtained is that the inclusion of nanoparticles (5% volume fraction) in the base fluid yielded remarkable results, including up to 41.92% and 7.03% increase in average Nusselt number for sinusoidal and square channels, respectively. The sinusoidal channel exhibited the highest thermo-hydraulic performance at Re= 800 and φ= 5%, approximately THP= 1.6. In addition, the increase of nanoparticle concentration from 0% to 5% at Re= 800 and dnp= 10nm, diminishes the total entropy generation by 28.39 % and 22.12 % for sinusoidal and square channels, respectively, but when the nanoparticle diameter decreases from 60nm to 10nm at φ= 5% and Re= 800, the total entropy generation in the sinusoidal channel decreases by 34.85%, whereas in the square channel, it decreases by 20.05%. Therefore, rather than using a square channel, it is preferable and beneficial to use small values of nanoparticle diameter and large values for each of φ and Re in the sinusoidal wavy channel. Overall, the study of nanofluid flow in a wavy channel can provide valuable insights into the behavior of nanofluids and their potential applications in a variety of fields, including manufacturing, energy produc- tion, mining, agriculture, and environmental engineering.
  • Item
    On the capability of multilayer perceptron to predict total organic carbon and elemental capture spectroscopy data in unconventional hydrocarbon reservoirs: the case of the Barnett Shale and Bakken oil field
    (Obstetrics & Gynecology Science, 2025) Aliouane , L.; Ouadfeul, S.-A.
    This study explores the capability of a Multilayer Perceptron (MLP) neural network (NN) machine to predict missing or expensive core rocks and well-log data measurements such as the Total Organic Carbon (TOC) and Elemental Capture Spectroscopy (ECS) measurements. Data of boreholes drilled in the Lower Barnett Shale and Bakken oil and gas fields, located in the USA, are used. TOC estimation is first addressed using the Schmoker method in the Barnett Shale gas and Bakken oil reservoirs, followed by the implementation of MLP NNs trained with various learning algorithms such as the Hidden Weight Optimisation, the Conjugate Gradient, and the Levenberg-Marquardt. Input data include standard well logs such as sonic, gamma ray, resistivity, and neutron porosity. The MLP models are validated and generalised using both horizontal and vertical well data. Furthermore, ECS data prediction is performed using MLPs trained on elementary analysis-derived log parameters, offering a cost-effective alternative to direct ECS logging. The results demonstrate that the efficiency and reliability of MLP-based approaches in enhancing geochemical and petrophysical characterisation of subsurface formations is conditioned by the choice of the learning algorithm, the reservoir complexity, number of wells, and their distribution
  • Item
    On the capability of multilayer perceptron to predict total organic carbon and elemental capture spectroscopy data in unconventional hydrocarbon reservoirs: the case of the Barnett Shale and Bakken oil field
    (Obstetrics & Gynecology Science, 2025) Aliouane, L.; Ouadfeul, S.-A.
    This study explores the capability of a Multilayer Perceptron (MLP) neural network (NN) machine to predict missing or expensive core rocks and well-log data measurements such as the Total Organic Carbon (TOC) and Elemental Capture Spectroscopy (ECS) measurements. Data of boreholes drilled in the Lower Barnett Shale and Bakken oil and gas fields, located in the USA, are used. TOC estimation is first addressed using the Schmoker method in the Barnett Shale gas and Bakken oil reservoirs, followed by the implementation of MLP NNs trained with various learning algorithms such as the Hidden Weight Optimisation, the Conjugate Gradient, and the Levenberg-Marquardt. Input data include standard well logs such as sonic, gamma ray, resistivity, and neutron porosity. The MLP models are validated and generalised using both horizontal and vertical well data. Furthermore, ECS data prediction is performed using MLPs trained on elementary analysis-derived log parameters, offering a cost-effective alternative to direct ECS logging. The results demonstrate that the efficiency and reliability of MLP-based approaches in enhancing geochemical and petrophysical characterisation of subsurface formations is conditioned by the choice of the learning algorithm, the reservoir complexity, number of wells, and their distribution
  • Thumbnail Image
    Item
    Exploring Digital Technology Use In The Inspection Process Of Physical Educational Inspectors. A Field Study On The Education Directorates Of Algiers State
    (Université d'Alger 3, 2024) Sadioufella, Thiziri; Hafidi, Mounib
    This research aimed to explore the current use of digital technology by physical education inspectors during the inspection process. The study employed a descriptive research method, with a sample of ten physical education inspectors selected through simple random sampling. Data was gathered using a questionnaire and analyzed using the Statistical Package for the Social Sciences (SPSS) to produce descriptive statistics. The findings revealed that, despite recognizing the benefits of digital technology in enhancing their professional duties, physical education inspectors do not incorporate it into their inspection practices. Consequently, the study recommends the adoption of digital technology as a valuable tool to streamline the inspection process.
  • Thumbnail Image
    Item
    دور المدرسة الابتدائية في تطوير النشاط البدني لدى الطفل 'دراسة ميدانية في بعض ابتدائيات ولاية بومرداس
    (جامعة مصطفي بن بولعيد باتنة 2, 2024) سعدي أوفلة ,ثيزيري; حفيظي ,منيب
    تهدف هذه الدراسة إلى التعرف على الدور الذي تلعبه المدرسة الابتدائية في تطوير وتنمية النشاط البدني لدى الطفل، حيث أجريت على بعض المدارس الابتدائية بولاية بومرداس أين تم اختيار مجموعة من التلاميذ كعينة لدراسة وتم اختيارهم بطريقة عشوائية بسيطة كما تم اتباع المنهج الوصفي في الدراسة وذلك باستخدام استمارات استبيان كأداة لجمع البيانات والمعلومات، ومن الجانب الاحصائي تم استخدام النسبة المئوية، واختبار كاف التربيع لتحليل البيانات المتحصل عليها من قبل افراد عينة البحث، وبعد جمع البيانات وتحليلها اظهرت النتائج أن للمدرسة الإبتدائية دور في تطوير وترسخ التربية البدنية والرياضية لدى التلاميذ المتمدرسين في الطور الاول وأن الانشطة الرياضية تلعب دورا بالغ الأهمية في تنمبة الجانب الاجتماعي والمعرفي والنفسي والفزيولوجي لدى الطفل.
  • Thumbnail Image
    Item
    Optimal Sizing and Localization of Multiple Distributed Generations in Distribution Systems Using an Improved Grey Wolf Optimization Algorithm
    (2024) Benahcour, Souheyla; Bendjeghaba, Omar
    This study investigates the impact of the localization and sizing of distributed generations in distribution systems using a combined approach of improved grey wolf optimizer (IGWO) and Newton-Raphson load flow algorithms. The suggested method optimizes the size and position of distributed generation generating both real and reactive power while ensuring power system constraints are not violated. The suggested algorithm optimizes the location and sizing of dis-tributed generations. Nevertheless, investigations show that the proposed method outperforms the PSO optimizer and takes less calculation time. Moreover, in contrast with other meta-heuristic algorithms such as JAYA, PSO, SFO, BO, SMA, GA, and GJO, the proposed approach produces a better voltage profile of the distribution system with smaller distributed generator sizes. To demonstrate the advantages of the suggested approach, the IEEE-13, IEEE-37, and IEEE-123 bus distribution systems are used as test cases, and the outcomes are contrasted with those of other meta-heuristic methods. According to simulation data, IGWO outperforms other meta-heuristic algorithms when it comes to the quality of the solution while satisfying all system constraints.
  • Thumbnail Image
    Item
    The Impact Of Administrative Corruption On The Performance Of Local Administration In Algeria
    (Université M'hamed Bougara de Boumerdès, 2023) Benzohra, Ali; Benseghier, Abdeladhim
    This study aims to research the effects of administrative corruption on the performance of local management in Algeria and its consequences. The research aims to identify the manifestations of administrative corruption, its causes and how it affects the performance of local management and then reviews the necessary mechanisms to confront it and at the same time improve administrative performance. In addition, this study concludes that both transparency in management, democratic participation and e-government are mechanisms that reduce negative practices related to administrative corruption and allow for the improvement of local management performance.
  • Thumbnail Image
    Item
    Green synthesis, characterization, structure, biological activity, theoretical calculations and drug-likeness analysis of coumarins
    (Elsevier, 2020) Khaldi-Khellafi, Nassima; Oukacha-Hikem, Djamila; Terrachet Bouaziz, Souhila; Abdoun, Amar; Makhloufi-Chebli, Malika; Dumas, Françoise; M.S. Silva, Artur; Hamdi, Maamar
    Condensation of salicylaldehydes and 2-hydroxynaphthaldehyde with various β−dicarbonyl derivatives 2a-c , in the presence of KF-Al 2 O 3 , leads to the synthesis of a series of coumarins 3-8 and benzo[ f ]coumarins 10 respectively by a solvent free reaction under microwave irradiation. The catalyst is recovered by a simple filtration and reused in subsequent reactions. The structure of all synthesized compounds has been established by using analytical techniques such as IR, 1 H and 13 C NMR spectroscopic spectra and elemental analysis. Most of the coumarins exhibited significant antibacterial activity against S. aureus Gram-positive bacteria compared to Cefotaxime as positive control. The compounds 4a and 7a demonstrated moderate antimicrobial activity against compound 8a is extremely sensitive.. In addition, the compounds showed moderate to good antiradical (DPPH) activity. Theoretical calculations let us to confirm the reaction mechanism. Parameters drug-likeness and physicochemical properties including pharmacokinetic analysis of the synthesized compounds was performed using DruliTo program.
  • Thumbnail Image
    Item
    Green synthesis, antioxidant and antibacterial activities of 4-aryl-3,4- dihydropyrimidinones/thiones derivatives of curcumin. Theoretical calculations and mechanism study
    (Elsevier, 2019) Khaldi-Khellafi, Nassima; Makhloufi-Chebli, Malika; Oukacha-Hikem, Djamila; Terachet Bouaziz, Souhila; Ould Lamara, Kamilia; Idir, Taous; Benazzouz-Touami, Amina; Dumas, Françoise
    3,4-Dihydropyrimidin-2(1H)-one/thione analogs of curcumin were synthesized in good yield by a onepot multi-component cyclocondensation using curcumin, substituted aromatic aldehydes, and urea/ thiourea in less volume of ethanol catalysed by commercial heteropolyacide Keggin type H3PMo12O40 5% mol as a recyclable and nontoxic catalyst under conventional heating and microwave irradiation. All the synthesized curcumin derivatives 4aen were screened for antioxidant and antimicrobial activity. Biological activity data of the synthesized showed that most of the synthesized compounds exhibited greater antioxidant and antibacterial activity than curcumin. Geometries of synthesized compounds were optimized by using B3LYP method with 6-31G* basis set. Then, DFT based reactivity descriptors such as HOMO, LUMO, chemical hardness, electronegativity, chemical potential were calculated and discussed.
  • Thumbnail Image
    Item
    Linear and nonlinear control design for a quadrotor
    (2025) Hadid, Samira; Boushaki Zamoum, Razika; Refis, Youcef
    In the current study, the quadrotor's nonlinear dynamic model is developed using the Newton-Euler approach. Following that, several nonlinear and linear control strategies for tracking the quadrotor's trajectory are applied. First, by employing distinct controllers for each output variable, direct application of the linear proportional integral derivative (PID) controller to the nonlinear system is realized. This system may also be linearized about an operational point to generate linear controllers, according to the linear quadratic regulator (LQR) demonstration. Nevertheless, in practice, the system dynamics may not always be accurately reflected by this linear approximation and may even be relatively wasteful. Nonlinear regulators, including the feedback linearization (FBL) controller, sliding mode controller (SMC), and modified sliding mode controller (MSMC), perform better in such situations. The trajectory tracking capabilities, dynamic performance, and potential disruption impact of both methods are evaluated and compared. The FBL with LQR was the best controller among them all. The SMC and the MSMC were also very good in tracking the trajectory.