Monographies
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Item 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, ReinhardtItem Effect of Thickness on Photocatalytic Activity of TiO2 Thin Films(Springer link, 2015) Bensouici, F.; Bououdina, Mohamed; Iratni, A.; Tala-Ighil, RazikaItem Nanomaterials in Solar Cells(2015) Tala-Ighil, RazikaReducing 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 advancementItem 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 WahabIn 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.Item 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