A. Ammar, T. Ameid, Y. Azzoug, A. Kheldoun, B. Metidji
{"title":"Design of Speed Sensorless Control of Induction Motor Based on Dual-Nonlinear Control Technique","authors":"A. Ammar, T. Ameid, Y. Azzoug, A. Kheldoun, B. Metidji","doi":"10.1109/ICEE49691.2020.9249796","DOIUrl":"https://doi.org/10.1109/ICEE49691.2020.9249796","url":null,"abstract":"This paper deals with performance improvement of direct flux and torque control of induction motor. The proposed algorithm consists of the combination of tow nonlinear control approaches. A decoupled control design is done by the exact feedback linearization control. Since, wastes the control stability and robustness while the presence of disturbance and modeling inaccuracy, it is recommended to be associated with a robust control approach like second-order sliding mode control (SOSMC). Therefore, the super twisting algorithm is integrated as auxiliary inputs to the feedback linearization control law to achieve robust feedback linearization control. On the other hand, the high-performance control design requires accurate knowledge of different control variables such as stator flux and rotor speed. instead of using costly and fragile sensors that may increase the volume and decrease the reliability of the control system, a proposed sliding super twisting observer and model reference adaptive system serves as sensorless algorithms for rotor speed and flux estimation in wide speed region. This conjunction is intended to enhance the overall control performances and speed/flux estimation, especially at low-speed operations. An experimental study has been done using MATLAB/Simulink with dSpace 1104 real-time interface for investigating the performance of the proposed algorithms.","PeriodicalId":250276,"journal":{"name":"2020 International Conference on Electrical Engineering (ICEE)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133721317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparative evaluation of PVDF based piezoelectric nanogenerator (PNG) under various resistive loads for energy harvesting applications","authors":"L. Paralı, M. Koç, A. Sarı","doi":"10.1109/ICEE49691.2020.9249795","DOIUrl":"https://doi.org/10.1109/ICEE49691.2020.9249795","url":null,"abstract":"Piezoelectric nanogenerator (PNG) is a type of sensor that converts mechanical energy to electrical energy by detecting small-scale physical deformation. In this study, to realize a PNG, firstly polyvinylidene difluoride (PVDF) based electrospun nanofiber film is produced through electrospinning system. The obtained nanofiber film was characterized by X-ray powder diffraction (XRD), Scanning Electron Microscopy (SEM), and Fourier Transform Infrared spectroscopy (FTIR). After that, the PNG device was built as the capacitor by locating the PVDF electrospun nanofiber between two aluminum conductive plates and cabled. The piezoelectric energy harvesting analyses of the PNG was defined by taking measurements under various resistive loads. At a vibration frequency of 15 Hz, the effective voltage value of the PNG reached the maximum voltage of 62.6 mV under the resistive load of $750 mathrm{K}Omega$ while its electrical power was around $5.23 mu mathrm{W}$ under the same load. The PNG based energy harvesting system aims to obtain electrical energy from the natural vibrational sources for mobile microelectronics.","PeriodicalId":250276,"journal":{"name":"2020 International Conference on Electrical Engineering (ICEE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132575908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"SIM Boxing Problem: ALMADAR ALJADID Case Study","authors":"Abdullah Masrub, Mohamed Alahemar","doi":"10.1109/ICEE49691.2020.9249872","DOIUrl":"https://doi.org/10.1109/ICEE49691.2020.9249872","url":null,"abstract":"Telecommunication fraud is considered as a significant problem that costs mobile network service providers billions of dollars annually. Although adventing new technologies expected to reduce fraud, it has provided fraudsters new techniques to commit fraud. SIM Box fraud is considered one of developed fraud that has emerged with the use of VoIP technologies. Fraudsters have used this technology to bypass their calls the international/national gateway switch and standard termination fees. Efficient fraud detection systems as well as data analysis systems can be used to enable telecom operators to stop fraud and save a lot of money. In this work, SIM Boxing problem is studied and identifying SIM Box fraud subscriber scenario is proposed. More precisely, after examining the attributes of the Call Detail Records (CDRs) of mobile subscribers, an algorithm to identify the data set of normal and fraudulent behavior has been implemented in this work. We applied this study on ALMADAR Company’s CDRs and we found that only 2% to 9% of behaviors (depending on data length) might show important tendency for fraudulent use and need to be monitored and examined accurately.","PeriodicalId":250276,"journal":{"name":"2020 International Conference on Electrical Engineering (ICEE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132907035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Evolutionary Approach to Multiple Traveling Salesman Problem for Efficient Distribution of Pharmaceutical Products","authors":"Emre Kocyigit, O. K. Sahingoz, B. Diri","doi":"10.1109/ICEE49691.2020.9249926","DOIUrl":"https://doi.org/10.1109/ICEE49691.2020.9249926","url":null,"abstract":"Considerable growth of computer science has created novel solutions for variable problem fields and has increased the efficiency of available solutions. Evolutionary algorithms are quite successful in dealing with real-world problems that require optimization. In this article, we implemented a Genetic Algorithm that is well known evolutionary algorithm in order to provide an efficient solution for the Distribution of Pharmaceutical Products, which is a vital optimization problem, especially in situations such as a pandemic. The Multiple Traveling Salesman Problem approach was used to distribute pharmaceutical products as soon as possible. Moreover, we strengthened our proposal algorithm with 2-Opt Algorithm to get optimal results in earlier iterations. Different datasets from a library were applied to measure the quality of solutions and computation time. At the end of the work, we observed that our proposed algorithm generates successful solutions in an acceptable running time. This study will be extended with a new mutation concept as future work.","PeriodicalId":250276,"journal":{"name":"2020 International Conference on Electrical Engineering (ICEE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134512693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fast Ids – Vgs Technique Implementation for NBTI Characterization","authors":"Messaoud Dhia Elhak, Zitouni Abdelkader, Djezzar Boualem, Benabdelmoumene Abdelmadjid, Zatout Boumediene","doi":"10.1109/ICEE49691.2020.9249809","DOIUrl":"https://doi.org/10.1109/ICEE49691.2020.9249809","url":null,"abstract":"In this paper, we implemented the fast $I_{ds}-V_{gs}$ technique to get the entire characteristic of p-MOSFET devices; as fast as possible. This technique is used within MSM protocol under NBTI conditions. We reached 10$mu$s in measurement time; a stress-measure delay (switching time) of about a hundred of milliseconds was reached. However, strengths and weaknesses of the technique have been discussed. Furthermore, Transconductance $(mathrm{g}_{mathrm{m}})$, subthreshold slope $(SS)$ and mid-gap $(MG)$ methods have also been implemented and discussed. NBTI parameter i.e. $Delta mathrm{V}_{mathrm{t}mathrm{h}}, n, gamma$ and $mathrm{E}_{mathrm{a}}$ are extracted and compared to other results. A time exponent n of 0.149 has been touched. Activation energy $mathrm{E}_{mathrm{a}}$=0.039eV and a field factor $gamma$=0.41 $MV.cm^{-1}$ for a stress time $mathrm{t}_{mathrm{s}}lt $10s have been obtained.","PeriodicalId":250276,"journal":{"name":"2020 International Conference on Electrical Engineering (ICEE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133409230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Risk Asseessment For LPG Storage Tanks Area In Skikda Refinery-ALGERIA Using D-Higraph And Hazop Methods & Simulation Of Dangerous Scenarios Using ALOHA Software","authors":"Bendib Riad, Mechhoud Elarkam, Benkharat Ilhem, Azzouz Hayett","doi":"10.1109/ICEE49691.2020.9249952","DOIUrl":"https://doi.org/10.1109/ICEE49691.2020.9249952","url":null,"abstract":"In this work we present a study based on two methods D-HIGRAPH and HAZOP methods applied for the LPG storage tanks in SKIKDA refinery which is considered as the most important refinery in Algeria. Several recommendations raised from our study to improve the safety of the plant particularly since it is considered as an old plant start working since 1980. The study is completed by simulating the deduced dangerous scenarios which is the explosion of sphere S181 (for butane storage) using ALOHA software. In the following some results for thermal effect of an explosion scenario for S181 sphere","PeriodicalId":250276,"journal":{"name":"2020 International Conference on Electrical Engineering (ICEE)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131560179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"UAV Path Planning Based on Dynamic Programming Algorithm On Photogrammetric DEMs","authors":"Adel Mokrane, Amal Choukchou Braham, B. Cherki","doi":"10.1109/ICEE49691.2020.9249903","DOIUrl":"https://doi.org/10.1109/ICEE49691.2020.9249903","url":null,"abstract":"The aim of this paper is to propose a three-dimensional path planning algorithm based on dynamic programming to plan optimal trajectories for an Unmanned Aerial Vehicle (UAV) on a Digital Elevation Model (DEM) map. An RGB camera is employed to obtain point cloud data of the map using WebODEM. The point cloud data are processed in to a digital elevation map using GRASS-GIS. Then, dynamic programming approach is used to find an optimal path from a starting location to a target location. The effectiveness and practicality of this paper work are demonstrated by the simulation test results.","PeriodicalId":250276,"journal":{"name":"2020 International Conference on Electrical Engineering (ICEE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117218333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tugay Akca, O. K. Sahingoz, Emre Kocyigit, M. Tozal
{"title":"Intelligent Ambulance Management System in Smart Cities","authors":"Tugay Akca, O. K. Sahingoz, Emre Kocyigit, M. Tozal","doi":"10.1109/ICEE49691.2020.9249959","DOIUrl":"https://doi.org/10.1109/ICEE49691.2020.9249959","url":null,"abstract":"According to the United Nations’ expectation, the total population of the cities will be doubled in the next three decades. This accelerating growth causes crucial problems in the main components of both traditional cities and smart cities. To increase the living quality of the residence in smart cities, enabling a clean, healthy, and sustainable environment are the major fields for the smart cities’ managers and directors. One of the main infrastructures of the smart city is identified as smart health, which can be enabled with the use of modern technologies such as Internet of Things, especially for accessing the patients when they need help. In this Project, a smart ambulance management system is proposed in a smart city environment. If a patient needs an ambulance, the operator finds the nearest ambulance and direct it to the patient. The coordinates of ambulances are dynamically traced by the system, and Google Maps, as a third-party service, is used in order to calculate the shortest path to the casualty. After reaching to the patient, the expert (doctor or nurse) investigates the situation and finds the best available hospital by the proposed system. The experimental results showed that the proposed system finds the best solution in an acceptable $time$.","PeriodicalId":250276,"journal":{"name":"2020 International Conference on Electrical Engineering (ICEE)","volume":"164 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115687929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohammed Hicham Hachemi, S. M. H. Irid, M. Hadjila, H. E. Adardour
{"title":"Digital Energy Sensing Algorithm for Primary Signal Cognitive Radio Networks","authors":"Mohammed Hicham Hachemi, S. M. H. Irid, M. Hadjila, H. E. Adardour","doi":"10.1109/ICEE49691.2020.9249949","DOIUrl":"https://doi.org/10.1109/ICEE49691.2020.9249949","url":null,"abstract":"In cognitive radio networks (CRNs), the topic of spectrum sensing (SS) or primary signal strength (PSS) has attracted a great deal of interest from academics and researchers to protect the legacy users spectrum. However, sensing enhances the robustness and reliability of spectrum management in CRNs environments. In order to improve the SS performance, the method used by secondary user (SU) or cognitive radio user (CRU) should be robust to analyze the transmitted signal strength by primary user (PU) or base station of primary networks (BSPNs). The spectrum sensing policy in the design of CRN systems is an important function, it determines the quality and performance of the system. In this context, we use the digital energy detector (DED) method which is employed by SU to sense the presence/or absence of the local PSS via two different channels, namely: The AWGN-link channel and the MRF-link (Multipath Rayleigh Fading) channel on two principal scenarios for the CRNs, a non-cooperative spectrum sensing (NCPSS) and a cooperative primary spectrum sensing (CPSS). Simulation results are investigated in terms of the detection probability (DP), false alarm probability (FAP) and the received signal-to-noise ratio (SNR) at SU.","PeriodicalId":250276,"journal":{"name":"2020 International Conference on Electrical Engineering (ICEE)","volume":"02 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127331122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
B. Talbi, F. Krim, Abdelbaset Laib, Abdeslem Sahli, A. Krama
{"title":"PI-MPC Switching Control for DC-DC Boost Converter using an Adaptive Sliding Mode Observer","authors":"B. Talbi, F. Krim, Abdelbaset Laib, Abdeslem Sahli, A. Krama","doi":"10.1109/ICEE49691.2020.9249934","DOIUrl":"https://doi.org/10.1109/ICEE49691.2020.9249934","url":null,"abstract":"An adaptive sliding mode observer (ASMO) for sensor-less DC-DC boost converter control using model predictive control (MPC) switching strategy is investigated in this study. The developed control scheme involves two control loops. The first one is an outer voltage control loop with a simple PI controller. The second one is an inner current control loop with a model predictive controller. The predictive algorithm uses the ASMO estimations in the prediction of the whole system. The concept of the control scheme is easy to understand and implement. Simulation and experimental results show the good performance, verify the validity of the developed control scheme, and demonstrate that the proposed observer estimates accurately the boost output voltage and the load resistance under different operation conditions.","PeriodicalId":250276,"journal":{"name":"2020 International Conference on Electrical Engineering (ICEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129761810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}