ENP Engineering Science Journal //enpesj.enp.edu.dz/index.php/enpesj <p>Ecole Nationale Polytechnique (ENP) is an academic and research institution where thousands of Engineers and PhDs have been educated during the last 6 decades. Its alumna and alumnus have had a positive impact on industry and science all over the world. ENP aims to disseminate high-quality academic work to contribute to technology and science advances for humanity.</p> <p>The ENP Engineering Science journal (ENPESJ) is a peer-reviewed open-access journal. It bi-annually publishes reviews and full original research papers covering all aspects of recent advances in engineering dealing with: </p> <ul> <li> Electrical and Computer Engineering</li> <li>Industrial Engineering</li> <li>Mechanical and Materials Engineering</li> <li>Civil and Hydraulic Engineering</li> <li>Chemical and Environmental Engineering</li> </ul> <p>The journal would focus also on technology with industry applications, it plans to publish special issues on up-to-date emerging technologies and new research directions. ENPESJ Promotes Open Science through truly free open access peer-reviewed journal articles.</p> en-US <p>Articles published under a Publisher Office user license are protected by copyright. Users may access, download, copy, translate, text and data mine the articles for non-commercial purposes provided that users:</p> <ul> <li>Cite the article using an appropriate bibliographic citation (i.e. author(s), journal, article title, volume, issue, page numbers, DOI and the link to the definitive published version)</li> <li>Maintain the integrity of the article</li> <li>Retain copyright notices and links to these terms and conditions so it is clear to other users what can and cannot be done with the article</li> <li>Ensure that, for any content in the article that is identified as belonging to a third party, any re-use complies with the copyright policies of that third party</li> <li>Any translations, for which a prior translation agreement with Publisher Office has not been established, must prominently display the statement: <em>"This is an unofficial translation of an article that appeared in a Publisher Office publication. Publisher Office has not endorsed this translation."</em></li> </ul> <p>This is a non commercial license where the use of published articles for commercial purposes is prohibited. Commercial purposes include: </p> <ul> <li>Copying or downloading articles, or linking to such postings, for further redistribution, sale or licensing, for a fee </li> <li>Copying, downloading or posting by a site or service that incorporates advertising with such content</li> <li>The inclusion or incorporation of article content in other works or services (other than normal quotations with an appropriate citation) that is then available for sale or licensing, for a fee</li> <li>Use of articles or article content (other than normal quotations with appropriate citation) by for-profit organizations for promotional purposes, whether for a fee or otherwise.</li> <li>Use for the purposes of monetary reward by means of sale, resale, license, loan, transfer or other form of commercial exploitation.</li> </ul> mourad.adnane@g.enp.edu.dz (Prof. Mourad ADNANE) ouiza.satour@g.enp.edu.dz (Ouiza SATOUR) Fri, 29 Jul 2022 00:48:29 +0000 OJS http://blogs.law.harvard.edu/tech/rss 60 Power Transformer Fault Prediction using Naive Bayes and Decision tree based on Dissolved Gas Analysis //enpesj.enp.edu.dz/index.php/enpesj/article/view/63 <p>Power transformers are the basic elements of the power grid, which is directly related to the reliability of the electrical system. Many techniques were used to prevent power transformer failures, but the Dissolved Gas Analysis (DGA) remains the most effective one. Based on the DGA technique, this paper describes the use of two of the most effective machine learning algorithms: Naive Bayes and Decision Tree for the identification of power transformer’s faults. In our investigation, 9 different input vectors have been developed from widely known DGA techniques. 481 samples have been used and 6 types of faults have been considered. The evaluation result of the implementation of the proposed methods shows an effectiveness of 86.25% in power transformer’s fault recognition.</p> Yassine Mahamdi, Ahmed Boubakeur, Abdelouahab Mekhaldi, Youcef Benmahamed Copyright (c) 2022 ENP Engineering Science Journal https://creativecommons.org/licenses/by-nc-sa/4.0 //enpesj.enp.edu.dz/index.php/enpesj/article/view/63 Fri, 29 Jul 2022 00:00:00 +0000 Comparison of two purification methods of Algerian bentonite: chemical, mineralogical and physicochemical properties //enpesj.enp.edu.dz/index.php/enpesj/article/view/64 <p>The aim of this work is to evaluate the efficiency of two methods of purification on Algerian bentonite clay. The first method was performed by centrifugation treatment, using sodium hexametaphosphate (NaPO3)6 as a dispersing agent. The second method involves a chemical purification with NaCl, followed by sedimentation technique. The study concerns mineralogical, chemical, structural aspects and a series of physical testing. The results have shown that the raw bentonite (RBN) contain (~ 59%) of montmorillonite, illite (~ 5) and (~26%) of quartz, and feldspar (orthoclase + albite), with 5% of calcite. In the purified state by NaCl (RBN-2), the mineralogical and physicochemical properties including cation exchange capacity and specific surface area are higher than the purified samples by physical beneficiation (by centrifugation - RBN-1). Moreover, the treatment with NaCl increased the montmorillonite content of the bentonite from 56 % to 100%. The quartz impurities were totally removed in RBN-2, whereas impurities (quartz + feldspar) were still observed by the X-ray diffraction (XRD). Finally, the results obtained from the morphological, mineralogical and chemical characterization confirm that the bentonite RBN -2 was more effective , and it has promise as an engineering material compared to the RBN and RBN-1, indicating its possible application in various industrial applications.</p> Nabil Babahoum, Malek Ould Hamou, Amira Merchichi, Farid Aghilasse Mansour Copyright (c) 2022 ENP Engineering Science Journal https://creativecommons.org/licenses/by-nc-sa/4.0 //enpesj.enp.edu.dz/index.php/enpesj/article/view/64 Fri, 29 Jul 2022 00:00:00 +0000 Task management in IoT-Fog-Cloud environment employing static scheduling Techniques //enpesj.enp.edu.dz/index.php/enpesj/article/view/76 <p>In a distributed computing system, there are limited resources, which needs to be utilized effectively. Then for improving QoS Fog computing paradigm is an effective way, with suitable allocations. Thus, different resource scheduling and optimization algorithms exist. However, still, there is a scope to improve bandwidth, latency, energy consumption, and total communication cost in the Fog environment. In this work investigation is done to show significance of task management in such resource constrained environment. Various heuristics and meta-heuristic algorithms are evaluated using simulations, to show the task placement and their impacts by using 5 different Montage datasets from work flow sim tool kit for Fog-Computing environment. Then QoS parameters like cost, makespan, and energy consumptions are computed for various state-of-the-art techniques like Min-max, PSO, GA, ACO, and BLA. This shows the behaviour of these techniques with such different tasks and allocation environment configurations. Evaluated result parameters are collected and presented in the result section. This work shows the effectiveness of heuristics and meta-heuristics techniques to manage the tasks and their allocations in the Fog environment.</p> Gauvav Goel, Rajeev Tiwari Copyright (c) 2022 ENP Engineering Science Journal https://creativecommons.org/licenses/by-nc-sa/4.0 //enpesj.enp.edu.dz/index.php/enpesj/article/view/76 Fri, 29 Jul 2022 00:00:00 +0000 A New Robust Adaptive Algorithm for Second Order Blind Source Separation //enpesj.enp.edu.dz/index.php/enpesj/article/view/86 <p>This paper deals with the adaptive blind source separation problem in presence of impulsive noise. New algorithms extending the well known SOBI method from batch to adaptive scheme are introduced. At first, the standard Gaussian noise case is considered, leading to our first algorithm referred to as Adaptive SOBI (A-SOBI). Later on, a robust version of A-SOBI, referred to as RA-SOBI is derived to handle the impulsive noise case. RA-SOBI relies on robust subspace tracking for the whitening stage together with robust correlation estimation for the separation stage. All proposed algorithms are of relatively low complexity and allow to achieve good separation quality as illustrated by our simulation results.</p> Zineb Bekhtaoui, Karim Abed-Meraim, Abdelkrim Meche, Messaoud Thameri Copyright (c) 2022 ENP Engineering Science Journal https://creativecommons.org/licenses/by-nc-sa/4.0 //enpesj.enp.edu.dz/index.php/enpesj/article/view/86 Fri, 29 Jul 2022 00:00:00 +0000 Design of a Compact UWB-MIMO Antenna with Isolation Enhancement through Extended Elliptical Ground Plane //enpesj.enp.edu.dz/index.php/enpesj/article/view/94 <p>This paper deals with the design of a Multiple Input Multiple Output (MIMO) antenna for UWB applications. It is composed of two identical radiating elements (parallel monopoles) symmetrically arranged on a FR-4 substrate. The monopoles are closely spaced (about 0.2 Lambda, center to center). A decoupling mechanism based on vertical extension of the Ground plane with elliptical edges (stub) allows to achieve high isolation (&gt;20 dB). Further, the designed system presents good diversity performance, as the obtained Envelope Correlation Coefficient is less than 0.01. The antenna array is compact (36x30 mm<sup>2</sup>), with ultra-wide operating frequency range (2.6 to 10.8 GHz). Simulations and measurements demonstrate good agreement. The obtained results make the proposed structure a good candidate for any UWB applications and modern wireless communications systems thanks to its wide frequency band, compactness and performance.</p> Dalal Zahaf, Soufiane Tebache, Abderrahim Kouar, Samy Labandji, Ali Mansoul Copyright (c) 2022 ENP Engineering Science Journal https://creativecommons.org/licenses/by-nc-sa/4.0 //enpesj.enp.edu.dz/index.php/enpesj/article/view/94 Fri, 29 Jul 2022 00:00:00 +0000 Phosphate Amendments for the Inhibition of Acid Mine Drainage Generated from Sidi Kamber Tailings Facility //enpesj.enp.edu.dz/index.php/enpesj/article/view/67 <p>The aims of this paper was to evaluate the efficiency of phosphates product and by-products from the Djebel Onk mine for the control of acidic mine drainage generated by exposure of Sidi Kamber mine tailings to climatic conditions. Kinetic tests in humidity cells were carried out according to the modified ASTM standard, was used to invistigate the geochemical behaviour of the Sidi Kamber tailings mixed with phosphate materials (phosphatic limestone wastes, raw low grade phosphate ore and phosphate mine tailings) after being characterized. All amendment compositions led to an increase of the pH of the leachate from approximately 3 to circum-neutral values. Humidity cells experiments indicated that the materials were adequate to immobilize Pb, Zn, Cu and Fe by about 99% and prevent their release through the tailings. The tests have also shown that the metals concentrations within the leachate are lower than the limits allowed by Algerian legislation for industrial liquid effluents. Among the tested material amendments, PLW was more effective than other products in immobilizing metals. The results are most probably related to their Ca-carbonate content and/or adsorption capacity.</p> <div> </div> Amira Merchichi, Malek Ould Hamou, Mostafa Benzaazoua, Farid Aghilasse Mansour, Nabil Babahoum, Hakim Rabia Copyright (c) 2022 ENP Engineering Science Journal https://creativecommons.org/licenses/by-nc-sa/4.0 //enpesj.enp.edu.dz/index.php/enpesj/article/view/67 Fri, 29 Jul 2022 00:00:00 +0000 Kernel SVM Classifiers based on Fractal Analysis for Estimation of Hearing Loss //enpesj.enp.edu.dz/index.php/enpesj/article/view/88 <p>Hearing screening consists of analyzing the hearing capacity of an individual, regardless of age. It identifies serious hearing problems, degree, type and cause of the hearing loss and the needs of the person to propose a solution. Auditory evoked potentials (AEPs) which are detected on the EEG auditory cortex area are very small signals in response to a sound stimulus (or electric) from the inner ear to the primary auditory areas of the brain. AEPs are noninvasive methods used to detect hearing disorders and to estimate hearing thresholds level. In this paper, due to the nonlinear characteristics of EEG, Detrented Fluctuation Analysis (DFA) is used to characterize the irregularity or complexity of EEG signals by calculating the Fractal Dimension (FD) from the recorded AEP signals of the impaired hearing and the normal subjects. This is to estimate their hearing threshold. In order to classify both groups, hearing impaired and normal persons, support vector machine (SVM) is used. For comparably evaluating the performance of SVM classifier, three kernel functions: linear, radial basis function (RBF) and polynomial are employed to distinguish normal and the abnormal hearing subjects. Grid search technique is selected to estimate the optimal kernel parameters. Our results indicate that the RBF kernel SVM classifier is promising; it is able to obtain a high training as well as testing classification accuracy.</p> Mohamed Djemai, Mhania Guerti Copyright (c) 2022 ENP Engineering Science Journal https://creativecommons.org/licenses/by-nc-sa/4.0 //enpesj.enp.edu.dz/index.php/enpesj/article/view/88 Fri, 29 Jul 2022 00:00:00 +0000 Effect of Surface Preparation on Mechanical Properties of Anodized A6061 in Sulfuric Acid Bath //enpesj.enp.edu.dz/index.php/enpesj/article/view/93 <p>The aims of this work are to examine the effect of the pickling conditions on the mechanical behavior of anodized A6061. Pickling was explored at 60°C for 30, 60, 90 and 120 second. The growth rate of the anodic layer, surface roughness, microhardness and tensile strength of anodized samples treated by alkaline pickling were investigated. The experimental results showed that the thickness of the anodic layer is directly related to the roughness of the substrate. In addition an important growth in thickness layer affects slightly the mechanical proprieties.</p> Amane Sahli, Oussama Djema, Mabrouk Bouabdallah, Djaffar Saidi Copyright (c) 2022 ENP Engineering Science Journal https://creativecommons.org/licenses/by-nc-sa/4.0 //enpesj.enp.edu.dz/index.php/enpesj/article/view/93 Fri, 29 Jul 2022 00:00:00 +0000 Energy Balance Of Third Generation Bioethanol //enpesj.enp.edu.dz/index.php/enpesj/article/view/97 <p>Global greenhouse gas emissions are constantly increasing, despite the partial replacement of fossil fuels by renewable energies. The transport sector is responsible for almost 24% of direct CO2 emissions from the combustion of fossil fuels, generating greenhouse gas emissions, highlighting the need for a greater focus of international policies to encourage the production and the use of biofuels. Bioethanol is the most consumed biofuel in the world; it is produced by fermentation from materials rich in sugar (glucose, starch, cellulose). However, the controversy around the use of first and second generation have forced the transition to the third generation based on marine and freshwater algae; the latter have the advantage of being abundant, even invasive, easy to cultivate with good energy potential. This study proposes a life cycle analysis (LCA) of bioethanol production from the macro algae Ulva Lactuca, it was carried out after the introduction of several data into the SimPro8.1 software (e.g. quantity of water, consumed electricity, used chemicals) using the Impact 2002+ methodology. The results show a positive energy balance reflecting high-energy efficiency since the system produces about 1.44 times the energy consumed.</p> Amina Allouache, Majda Aziza, Toudert Ahmed Zaid, Mohammed Amouri Copyright (c) 2022 ENP Engineering Science Journal https://creativecommons.org/licenses/by-nc-sa/4.0 //enpesj.enp.edu.dz/index.php/enpesj/article/view/97 Fri, 29 Jul 2022 00:00:00 +0000 Correlations between physico-chemical properties and dielectric behavior of thermally aged XLPE cables insulation //enpesj.enp.edu.dz/index.php/enpesj/article/view/102 <p>The carried out investigations aim at clarifying the correlations between physico-chemical properties and the variation of dielectric losses of Cross-Linked Polyethylene (XLPE) as Medium Voltage cable insulation during thermal aging. The used cables were manufactured by ELSEWEDY CABLES. They have been installed in Algeria where they must resist high temperatures that could exceed 50 degrees in the south of the country. For this aim, thermal aging measurements were performed on XLPE cables samples at 80, 100 and 140 °C for aging time of 5000 hours. The chemical properties were evaluated through Fourier Transform Infrared Spectrum (FTIR). In addition, the effect of aging on the crystallinity ratio, the lamellar thickness and the melting peak temperature was assessed using Differential Scanning Calorimetry (DSC). Frequency domain dielectric spectroscopy has been conducted on the aged XLPE cables in order to study the evolution of the dielectric losses. The obtained results showed that the principal aging mechanism is thermal oxidation which heads to deteriorate the morphology and increase both the polarization and losses, principally at low frequencies. It has been found that the color changes caused by the chains scission indicate the increase of interfaces between the cable insulating and semi-conductive layers, which could head to increase the dielectric losses due to the interfacial polarization.</p> Yasmina Sebbane, Ahmed Boubakeur, Abdelouahab Mekhaldi Copyright (c) 2022 ENP Engineering Science Journal https://creativecommons.org/licenses/by-nc-sa/4.0 //enpesj.enp.edu.dz/index.php/enpesj/article/view/102 Fri, 29 Jul 2022 00:00:00 +0000