Chapitres D'ouvrages

Permanent URI for this collectionhttps://dspace.univ-boumerdes.dz/handle/123456789/2698

Browse

Now showing 1 - 20 of 20

Application of Improved Artificial Neural Network Algorithm in Hydrocarbons’ Reservoir Evaluation: Artificial Intelligence in Renewable Energetic Systems
(2019) Doghmane, Mohamed Zinelabidine; Belahcene, Brahim; Kidouche, M.
The aim of this work is to develop an artificial neural network software tool in Matlab which allows the well logging interpreter to evaluate hydrocarbons reservoirs by classification of its existing facies into six types (clay, anhydrite, dolomite, limestone, sandstone and salt), the advantage of such classification is that it is automatic and gives more precision in comparison to manual recognition using industrial software. The developed algorithm is applied to eleven wells data of the Algerian Sahara where necessary curves (Gama Ray, density curve Rhob, Neutron porosity curve Nphi, Sonic curve dt, photoelectric factor curve PE) for realization of this technique are available. A graphical user interface is developed in order to simplify the use of the algorithm for interpreters
Application of Synchro-Phasor Measurement Unit in Smart Grid Including Renewable Energy
(2022) Mahboubi, Meriem; Ouadi, Abderrahmane
Renewable energy is one of the most abundant energies in our planet. In order to satisfy the world demand of electrical energy, solar and wind energy may be used. Identical to all other types of power generation plants, the integration of these renewable energy sources in smart power grid has an impact on its operation. Thus, when the electrical power is injected into the power grid by these energy sources, the system electrical parameters must be well monitored for synchronization purpose. This can be accomplished with the aid of synchro-phasors measurement units. The phase angle of the utility is a critical parameter for the operation of power devices feeding power into the grid such as PV and wind energy inverters. There are many techniques to obtain the grid phase angle such as the zero-crossing detection and the orthogonal phase locked loop. This research work discusses the use of Phasor Measurement Unit (PMU) for providing this important parameter to system synchronization in the case of high penetration of solar or wind energy in the power grid.
Binary whale optimization algorithm for topology planning in wireless mesh networks
(Elsevier, 2023) Taleb, Sylia Mekhmoukh; Meraihi, Yassine; Mirjalili, Seyedali; Yahia, Selma; Ramdane-Cherif, Amar
The objective of this research is to tackle the topology planning issue in Wireless Mesh Networks (WMNs) through the implementation of a Binary Whale Optimization Algorithm (BWOA). S-shaped and V-shaped families of transfer functions are employed to obtain a binary versions of WOA. BWOA is designed to reduce the number of mesh routers needed to meet the full coverage and full connectivity requirements. The performance of BWOA is evaluated using three metrics, namely the minimum, maximum, and average number of mesh routers, while taking into account variations in the number of mesh clients. According to the findings of the simulations carried out in Matlab®, BWOA algorithms utilizing V-shaped transfer functions outperform S-shaped transfer functions-based BWOA algorithms in terms of required number of mesh routers.
Challenges and Opportunities in Green Hydrogen Production Materials for Biological Hydrogen Production
(Springer, 2024) Akroum-Amrouche, Dahbia; Akroum, Hamza; Lounici, Hakim
Biohydrogen is regarded as an attractive renewable source of clean energy and an environmentally friendly alternative to conventional fossil fuels. BioH2 can be produced via different biological pathways like direct and indirect biophotolysis, photo-fermentation, dark-fermentation, and bio-electrolysis using microbial electrolysis cells (MEC). The MEC is a bioelectrochemical approach that can be used to treat wastewater and produce biohydrogen, simultaneously. The MEC performance is highly affected by several factors such as microbial communities, cathode and anode catalysts’ activities, electrode materials and structures, current output, reactor design, associated anode and biocathode, catalysts, and substrate type, and concentration used. This chapter provides an overview of the recent developments in biological and non-biological materials involved in microbial electrolysis cells for biohydrogen production. The microbial species and enzymes, bio-inspired catalysts, advances in materials, and integration systems applied in these bioprocesses to improve catalytic performance, achieve lower configuration cost, and provide stable and efficient biohydrogen production are presented.
A Collaborative System for Machine Learning-Based Final-Year Projects With Enhanced Dataset Accessibility
(IGI Global, 2024) Lounas, Razika; Djerbi, Rachid; Mokrani, Hocine; Bennai, Mohamed Tahar
This chapter explores the transformative impact of information and communication technology (ICT) on pedagogy, specifically focusing on the integration of collaboration tools in final year projects (FYPs). Final year projects (FYPs) represent the ultimate activity in the student's curriculum. They are designed to use, test, and enhance the knowledge students have gained over the years by confronting them with real-world projects. Despite existing systems for FYPs, the chapter identifies gaps, particularly in covering the entire FYP process and in addressing different collaborative aspects. With a focus on the rise of machine learning-based FYPs, this research aims to propose a comprehensive solution based on a proposed collaboration architecture in response to various needs such as communication, coordination, production, and resource sharing. The application is designed for multiple user roles, including students, advisors, and administrative staff, each allocated a personalized workspace. The novelty of the proposed system is its comprehensive coverage of all collaborative aspects mentioned throughout the FYP process, including proposal processing, project assignment, project completion, and evaluation. The research contributes to fostering innovation in machine learning projects by effectively managing and sharing datasets through collaboration tools. The results indicate good scores in improving collaborative aspects with a score of 98% for virtualization in coordination and 96% for communication. The results also showed that surveyed users are positively inclined to use the system as their final year project (FYP) management system, with an attention-to-use score of 90% of advisors and 92.8% of students.
Detection system parameters' effects on amplitude and spectral features of SFAP generated from a cylindrical multilayer volume conductor
(Nova Science Publishers, Inc, 2023) Messaoudi, Noureddine; Belkacem, Samia
The electromyographic (EMG) signal represents the electrical variations of muscles activities. It can be detected on the skin surface above the aimed muscle. The assessment of the effects of anatomical, physiological and detection system parameters on the shape of the detected surface EMG signal is more evident by using the signal generated by a single fibre action potential (SFAP). Amplitude and spectral characteristics of the detected signal are good estimators of the effects of the anatomical, physiological and detection system parameters on the shape of generated signal. In this work, we interpret the effects of the detection system parameters (the fibres inclination angle and the inter-electrode distance) on the average rectified value (ARV) and on the median frequency (MDF) of the surface SFAP signal generated in a multilayer cylindrical volume conductor contains the limb muscle. The potential is detected on the skin surface with a detection system which is constituted by eight 1D and 2D spatial filters and a grid of nine point electrodes. We show that the increase of the fibres inclination angle decreases the ARV and the MDF of the simulated signal and that the increase of the inter-electrode distance increases them.
Effect of Thickness on Photocatalytic Activity of TiO2 Thin Films
(Springer link, 2015) Bensouici, F.; Bououdina, Mohamed; Iratni, A.; Tala-Ighil, Razika
An enhanced whale optimization algorithm with opposition-based learning for LEDs placement in indoor VLC systems
(Elsevier, 2023) Benayad, Abdelbaki; Boustil, Amel; Meraihi, Yassine; Mirjalili, Seyedali; Yahia, Selma; Taleb, Sylia Mekhmoukh
Visible Light Communication (VLC) is a new technology that has attracted lately much interest from researchers and academics. It allows communication between users using photo-detectors (PDs) as receivers and light emitting diodes (LEDs) as transmitters. The deployment of LEDs in indoor VLC Systems is an important issue that affects the coverage of the network. In this article, we propose an improved version of Whale Optimization Algorithm, named EWOA, to resolve the LEDs placement problem in indoor visible light communication (VLC) systems. The EWOA is based on the integration of chaotic map concept and Opposition based learning method (OBL) into the standard WOA to improve its optimization performance. By taking into account the user throughput and coverage metrics while employing several produced instances and evaluating results against some meta-heuristics, the usefulness of EWOA was confirmed. The meta-heuristics that we used in the comparison are WOA, (MRFO) Manta Ray Foraging Optimizer, (CHIO) Herd immunity coronavirus optimizer, (MPA) Marine Predator Algorithm, (BA) Bat Algorithm, and (PSO) Particle Swarm Optimizer. The results showed that EWOA is more effective in finding optimal LEDs positions.
Graph theory based reliability assessment software program for complex systems
(Springer Science and Business Media Deutschland GmbH, 2020) Bourezg, Abdrabbi; Bentarzi, Hamid
Reliability is a conceptual term that means endurance, dependability, andgood performance. However, in system engineering, it is more than a conceptualterm; it can be measured and evaluated. Reliability means the ability of a system toperform the required task under the normal conditions during its age. A complexityin system reliability may be commonly arisen due to the interconnection of variouselements in the form of a network that can be represented by graphs. The graph theoryand computer programs are essential tools for analyzing large and complex systems.This chapter presents how a complexity of system reliability can be reduced throughthe use of computer programs based on a graph theory. The software program hasbeen developed for reliability assessment of complex systems such as aircraft. Itcan handle any statistical distributions. It uses the inclusion-exclusion method forfinding the minimal paths for directed acyclic graph using reliability block diagram(RBD). A system may be considered to operate if there exists a set of functioningcomponents from source to target. So, at least one minimal path must function forthe system operation. The probability of the union of all minimal paths can be usedto find the reliability of the whole system
A hybrid whale optimization algorithm with tabu search algorithm for resource allocation in indoor VLC systems
(Elsevier, 2023) Yahia, Selma; Meraihi, Yassine; Mirjalili, Seyedali; Taleb, Sylia Mekhmoukh; Refas, Souad; Ramdane-Cherif, Amar; Eldeeb, Hossien B.
This paper proposes a novel hybrid approach (WOATS) based on the hybridization of Whale Optimization Algorithm (WOA) with Tabu search Algorithm (TS) for solving the resource allocation problem for indoor multi-user downlink VLC systems. The efficiency of the proposed WOATS is validated in several scenarios under different settings, considering the throughput and fairness parameters. The results demonstrated that WOATS provides competitive performance in optimizing resource allocation in indoor VLC systems compared to WOA, TS, Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Arithmetic Optimization Algorithm (AOA), Moth Flame Optimization (MFO), Grey Wolf Optimizer (GWO), and Sine Cosine Algorithm (SCA).
Monitoring of Isolated Standalone Renewable Energy Systems
(Springer link, 2021) Tsebia, M.; Bentarzi, Hamid
For many areas, powering their homes or small businesses using a small renewable energy system that is not connected to the electricity grid. The monitoring system is essential for isolated areas; with existing monitoring systems the cost of returning is very expensive and difficult to install. In this work we have proposed a monitoring technique based on PMU technology this technology allows to measure the parameters important for the monitoring and send them by a communication system based on the GSP to PDC platform, and using isolated standalone renewable energy systems for reduce oscillations of interconnection power system. To validate the proposed approach, the developed PMU based monitoring system is implemented using Simulink/Matlab. Then, its performance is tested by power system Simulink model under different operating conditions
Nanomaterials in Solar Cells
(2015) Tala-Ighil, Razika
Reducing cost and improving conversion efficiency are the main tasks in order to make photovoltaic energy competitive and able to substitute traditional fossil energies. Nanotechnology seems to be the way by which photovoltaics can be developed, whether in inorganic or organic solar cells. Wide-bandgap nanostructured materials (nanomaterials) prepared from II–VI and III–V elements are attracting an increased attention for their potential applications in emerging energy. They can be prepared in different geometric shapes, including nanowires (NWs), nanobelts, nanosprings, nanocombs, and nanopagodas. Variations in the atom arrangements in order to minimize the electrostatic energy originated from the ionic charge on the polar surface are responsible for a wide range of nanostructures. This book chapter will focus on contribution of nanomaterials in solar cell technology advancement
A New Dominating Tree Routing Algorithm for Efficient and Fault-Tolerant Leader Election in WSNs and IoT Networks
(2019) Bounceur, Ahcène; Bezoui, Madani; Lagadec, Loïc; Euler, Reinhardt
Oscillation Detection Using PMU Technology in the North Africa Power System
(Springer, 2019) Tsebia, Mohammed; Bentarzi, Hamid
Monitoring of the electrical power system has an importance in itsreliability. In order to ensure the best monitoring, the system of measure andcommunication must be precise and in real time. The integration of PMUtechnology in the electrical power system improves reliability monitoring for thelocal and large area power system. In this paper, we have used PMU technologyin the North African electric power system
PMU deployment in power system oscillation monitoring
(Springer, 2016) Recioui, Abdelmadjid; Bentarzi, Hamid; Tsebia, Mohammed
Oscillatory events at low frequencies are commonly witnessed in interconnected power systems. Phasor Measurement Units (PMU) can provide time-synchronized measurements; it can communicate the synchronized local and inter-area information to remote station. In this paper, we have modeled a PMU, and we have tested it in the 14-bus power system . It proposes a real-time monitoring tool that exploits synchronized phasor measurements from PMUs, which allow real-time analysis of higher-frequency events, filling the lack of such monitoring application in the power systems area
PMU Phasor Estimation Using Different Techniques
(IGI Global, 2021) Bentarzi, Hamid; Ouadi, Abderrahmane
Many models of phasor measurement units (PMU) have been implemented; however, few dynamic models have been developed when the power system parameters change. It is necessary to use a method that can somehow estimate the frequency and correct the phasors. The conventional way to determine frequency is to detect zero crossings per unit time. However, this method has many drawbacks such as high cost and low accuracy. Also, after the frequency determination, the phasor should be corrected by suitably modifying the algorithm without omitting any data. This chapter presents different estimation techniques such as discrete Fourier transform (DFT), smart discrete Fourier transform (SDFT) that may be used to estimate the phasors. These estimated values would be incorrect if the input signals are at an off-nominal frequency and the phase angles would drift away from the true values. To correct this issue, first of all, the off-nominal frequency has been estimated using different techniques such as least error squares and phasor measurement angle changing, and then it is used to correct the phasors
Sol Gel Synthesis and Thermal Treatment Effect on Ce3+ Doped GdBO3 Nanoclusters Obtained in Silica Glass
(2020) Ladjouzi, Samia; Tala-Ighil, Razika; Guerbous, Lakhdar; Bensouici, F.
Silica glass samples containing GdBO3/Ce³⁺ nanoclusters were prepared by sol gel process. The effect of thermal treatment on the structural and optical properties was investigated. From DSC and XRD analysis, it was found that the GdBO3 hexagonal vaterite phase crystallizes inside the silica glass above 700 ℃. The average crystallites size ranges between 20 to 50 nm when the temperature increases from 800 ℃ to 1000 ℃. TEM-EDS analysis evidenced the presence of GdBO3:Ce³⁺ nanoclusters inside the silica matrix. Fourier transform infrared spectroscopy (FTIR) shows the presence of silica and borate linkages with significant changes in the intensity when the temperature increases from 500 ℃ to 1000 ℃. Finally, photoluminescence measurements showed that the sample heat treated at 1000 ℃ presents the maximum photoluminescence intensity assigned to the 5d Open image in new window 4f transition of Ce³⁺ ions
Static and dynamic behaviours of composite laminate
(Nova Science Publishers, 2012) Zitoune, R.; Mir, A.; Hachemane, B.; Boyer, F.; Bouvet, C.; Collombet, F.; Bezzazi, B.
Structural Health Monitoring of Beam-Like and Truss Structures Using Frequency Response and Particle Swarm Optimization: Volume 2: Numerical Modelling in Mechanical and Materials Engineering, NME 2018, 28-29 August 2018, Ghent University, Belgium
(2019) Zenzen, Roumaissa; Khatir, Samir; Belaidi, Idir; Magd, Abdel Wahab
In this paper, non-destructive damage identification in beam-like and truss structures using Frequency Response (FR) data is presented. This approach is to formulate an inverse problem using Particle Swarm Optimization (PSO) and Finite Element Method (FEM) to identify the presence, location and quantification of the damage. PSO is one of the most efficient bio-inspired methods. It is used to minimize the objective function, which is based on FR data. The damage in structure is caused by loss of rigidity at a specific location. The capability and efficiency of this application to identify the location and severity of damage are demonstrated by means of several numerical examples. The results of the proposed approach show good accuracy.
Synthesis Cordierite Materials Starting from Algerian Kaolin
(2018) Kheloui, Meriem; Boumchedda, K.; Boumchedda, S.; Rabehi, Bahia
The objective of this work is to study the synthesis of the cordieritephase from Algerian kaolin known as DD kaolin. To do this, the kaolin iswashed and sieved to prepare a particle size fraction <20l, rich in clay particles,and precipitated magnesium hydroxide is prepared to give magnesium andfinally silica fume is added to the mixtures experimental, tofill the silica deficit.The weighing of the materials is carried out in such a way as to producemixtures close to the ideal phase of the cordierite (2MgO.2Al2O3.5SiO2). Themixing is carried out in a large quantity of water with a metal stirrer at highspeed. The mixture is heated during stirring until the sludge is obtained. Thefinal drying is continued in an oven, the coarse powder obtained isfinely groundin a porcelain mortar.The results of investigations carried out by simultaneous thermal analysis(ATD-TG) show afirst exothermic peak at 945 °C. which is attributed tol-cordierite, a second exothermic peak at 1200 °C. which indicates the crystal-lization ofl-cordierite in Indialite, andfinally an endothermic peak above1400 °C which indicates the fusion of the indialite.The results of investigations of the X-ray diffraction analysis on the calcinedpowders at high temperature, shows that only the Indialite phase is present from1300 °C.