T. Younes, Kadri Farid, Charif Fella, B. Abderrazak
{"title":"Neural Fault Diagnosis Method for Voltage Source Inverter with a Neural Direct Torque Control of Induction Motor","authors":"T. Younes, Kadri Farid, Charif Fella, B. Abderrazak","doi":"10.1109/CCSSP49278.2020.9151552","DOIUrl":"https://doi.org/10.1109/CCSSP49278.2020.9151552","url":null,"abstract":"electrical drives in general incorporate an inverter and an induction machine. Thus, these both elements must be well considered to provide a relevant diagnosis of these electrical systems. So it is important to detect early different defects that can occur in these systems in order to find ways to allow us to monitor the operation and preventive action to avoid frequent breakdowns. The objective of this paper is to investigate the feasibility of detecting and diagnosing faults in a three-phase inverter supplying an induction motor. We present the simulation results of a neural direct torque control of (NDTC) of induction motor associating a fault diagnosis system by using the contribution of artificial intelligence. In this work, we give a detailed description of inverter switching faults with a simple method for feature extraction to study the possibility of detecting and diagnosing these defects. Detection and identification of faulty switches is realized within a few currents periods. The use of an intelligent technique improves the classification performance for one and only fault occurrence.","PeriodicalId":401063,"journal":{"name":"020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP)","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122674297","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}
Nidhal Hadj Abdallah, Eya Affes, Y. Bouslimani, M. Ghribi, A. Kaddouri, M. Ghariani
{"title":"Smart Assistant Robot for Smart Home Management","authors":"Nidhal Hadj Abdallah, Eya Affes, Y. Bouslimani, M. Ghribi, A. Kaddouri, M. Ghariani","doi":"10.1109/CCSSP49278.2020.9151809","DOIUrl":"https://doi.org/10.1109/CCSSP49278.2020.9151809","url":null,"abstract":"This paper highlights the use of an open source solution to build a fully stand-alone Smart Assistant Robot dedicated to managing a smart home for elderly people. The system is built around a voice communication module based on « Mycroft AI » to communicate with sensors and smart devices. It includes many software applications developed to recognize faces, set up tasks, and answer specific questions and requests. An embedded system is used as a local server to manage the smart home and its several applications. The results present many forms of actions that the robot can perform to answer the user’s queries. The undertaken operations can be vocal answers, mechanical moves and motions, software tasks or just in form of a text message.","PeriodicalId":401063,"journal":{"name":"020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127501639","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":"Speaker Identification and Verification System for Arabic and Berber Language","authors":"Ferhat Roumiassa, F. Chelali","doi":"10.1109/CCSSP49278.2020.9151633","DOIUrl":"https://doi.org/10.1109/CCSSP49278.2020.9151633","url":null,"abstract":"The purpose of this work is to explore the advantage of Mel Frequency Cepstral Coefficients and Linear Predictive Coding combined with Principal Component Analysis, for speaker identification system applied for Arabic and Algerian Berber language. For this aim, the multilayer perception classifier is applied where different training functions are used for recognition process to improve the global efficiency. Dynamic time wrapping (DTW) is also applied for speaker verification. A Comparative analysis with some methods reveals that the proposed method provide good efficiency for verification and identification.","PeriodicalId":401063,"journal":{"name":"020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124076873","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":"Robust and Stable Speed Control Design Using the Variable Gains Backstepping Technique for High-Efficiency Three-Phase Induction Motor Drives","authors":"Bilel Aichi, K. Kendouci","doi":"10.1109/CCSSP49278.2020.9151709","DOIUrl":"https://doi.org/10.1109/CCSSP49278.2020.9151709","url":null,"abstract":"For high-performance industrial applications based on AC electrical machines, it is necessary to develop a robust variable speed drive capable of ensuring the required control quality. The main disadvantage of the conventional version of integral Backstepping is the possibility of causing a bad behavior in the transient regimes, which is presented by an overcurrent and strong vibrations before the final stabilization of the system. In this paper, an optimized approach of Backstepping is applied to the speed control of an induction motor. The proposed solution for improving stability and efficiency is to introduce the variable gains property in the main speed regulator. Two different partial commands will perform the global control. The first one ensures the optimal convergence of the system in transient regimes without causing overshoot. The second command is intended for permanent regimes, where it can amplify the coefficients of the gains in order to reinforce the control robustness against applied loads. All control signals used in the algorithm are generated according to the Backstepping principle and the overall stability of the system is verified by Lyapunov’s theorem. This technique was validated experimentally using a dSPACE-RTI-1104 card and empirical results showed remarkable real-time control in terms of stability, speed and robustness against external disturbances.","PeriodicalId":401063,"journal":{"name":"020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124380883","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":"Implentation and Design of Grounding Systems Using COMSOL multiphysics","authors":"Bouderbala Abdelkader, Zegnini Boubakeur, Seghier Tahar, Saadaoui Yahia","doi":"10.1109/CCSSP49278.2020.9151798","DOIUrl":"https://doi.org/10.1109/CCSSP49278.2020.9151798","url":null,"abstract":"Protection of equipment, safety of persons and continuity of power supply are the main objectives of the grounding system. For its accurate design, it is essential to determine the potential distribution on the earth surface and the equivalent resistance of the system. In this article we propose a numerical method based on Finite Elements Method (FEM) to design a grounding system. This earthing system is considered a rod electrode buried vertically in the ground. The resistance of the system which is a very important factor in the process of this design. The FEM method is used to estimate the solution of the partial differential equation which governs the behavior of the system. COMSOL multiphysics, which is one of the packages running with the FEM, is used as a tool in this design. The resistance values obtained by COMSOL Multiphysics are compared with the values calculated with the analytical formula of different type’s soil resistance. Finally, the potential distribution on the earth surface is determined","PeriodicalId":401063,"journal":{"name":"020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128222472","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":"Word-Spotting approach using transfer deep learning of a CNN network","authors":"Ryma Benabdelaziz, Djamel Gaceb, M. Haddad","doi":"10.1109/CCSSP49278.2020.9151583","DOIUrl":"https://doi.org/10.1109/CCSSP49278.2020.9151583","url":null,"abstract":"Convolutional Neural Networks (CNNs) are deep learning models that are trained to automatically extract the most discriminating features directly from an input image to be used for visual classification tasks. Recently, CNNs attracted a lot of interest thanks to their effectiveness in many computer vision applications (medical imaging, video surveillance, biometrics, pattern recognition, OCR, etc.). Transfer learning is an optimization method that uses a pretrained network to speed up the training of another related task or application. This helps speed up and improve the training process on a new dataset. In this paper, we propose a new approach of handwritten word retrieval based on deep learning and transfer learning. We compared the performance between two types of extracted features based on transfer learning: from a pre-trained model and a fine-tuned network. Experiments are performed using six different CNN architectures and three similarity measures on the presegmented Bentham dataset of the ICDAR competition. The obtained results demonstrate the effectiveness of our proposed approach compared to existing methods, evaluated in this competition.","PeriodicalId":401063,"journal":{"name":"020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127974653","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}
Yamina Bekri, N. Benahmed, N. Benabdallah, Djamal Lachachi
{"title":"2D-FEM Characterization and Design of Inhomogeneous Coupled Cylindrical Microstrip Line for Microwave Applications","authors":"Yamina Bekri, N. Benahmed, N. Benabdallah, Djamal Lachachi","doi":"10.1109/CCSSP49278.2020.9151645","DOIUrl":"https://doi.org/10.1109/CCSSP49278.2020.9151645","url":null,"abstract":"In the recent years, there has been a growing interest in the use of cylindrical transmission lines in a variety of applications. This work presents analysis and study of inhomogeneous coupled cylindrical microstrip line (CCML), convenient for microwave and millimeter-wave circuits mounted on cylindrical substrate applications. Firstly, the influence of the geometrical parameters on the electromagnetic parameters (EM) by using finite element method (FEM) analysis in two dimensions (2D) under FreeFEM environment is studied. We have focused mainly on calculating the even- and odd-mode characteristic impedances, the even- and odd-mode effective dielectric constants, and the coupling coefficient, as a function of the geometrical parameters. As validation, we have compared our results with those published in the literature and excellent agreement is found. Later, the typical design-curves results are used to design and build several high-performance microwave directional cylindrical microstrip couplers (CMC), of 20 dB, 30dB and 15 dB, operating respectively at 6, 2 and 1 GHz, and adapted to 50 $Omega$, useful for microwave measurement systems. Finally, we have made a comparison between simulation results in terms of directivity and isolation performances.","PeriodicalId":401063,"journal":{"name":"020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP)","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130886132","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":"CCSSP 2020 Organizing Committee","authors":"","doi":"10.1109/ccssp49278.2020.9151488","DOIUrl":"https://doi.org/10.1109/ccssp49278.2020.9151488","url":null,"abstract":"","PeriodicalId":401063,"journal":{"name":"020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131843559","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":"DWT-based Wind Speed Forecasting Using Artificial Neural Networks in the region of Annaba","authors":"K. Khelil, F. Berrezzek, T. Bouadjila","doi":"10.1109/CCSSP49278.2020.9151561","DOIUrl":"https://doi.org/10.1109/CCSSP49278.2020.9151561","url":null,"abstract":"Global demand for electrical energy is in constant increase all over the world, leading to new kinds of energy from renewable resources, namely solar and wind power. Consequently, precise wind prediction is very important for efficient management of grid-connected wind farms. This article examines the use of wavelet analysis combined with neural networks to predict wind speed. The wavelet transform is employed to smooth the wind speed time series for better prediction using neural networks. Using the wind speed data of the region of Annaba situated in the east of Algeria, the obtained results show the db4 wavelet with 5-level decomposition outperforms all other wavelet families in terms of forecasting accuracy.","PeriodicalId":401063,"journal":{"name":"020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134369278","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":"Power Supply Multisource Solar/Battery For Electric Scooter","authors":"Saied Boumediene, Nasri Abdelfatah, Tedjini Hamza, Chergui Hicham","doi":"10.1109/CCSSP49278.2020.9151763","DOIUrl":"https://doi.org/10.1109/CCSSP49278.2020.9151763","url":null,"abstract":"This article is a contribution to the study of a hybrid source in electric scooter aiming to solve the principle problem of fuel and fuel-related pollution nowadays. The model description of the powertrain includes two energy sources a PVG used as the principle power source and storage batteries used as secondary source. Using an auxiliary source can minimize the stress power applied on the main source. The PVG-battery power sources are connected by two DC / DC converter to create power transfer to the pull part containing the BLDC drive. The main source is connected to Boost converter that controls the MPPT strategy. Finally, An energy management method is used to satisfy load energy requirements and restore energy at saturation. That is why a buck-boost converter is used to control the battery bank. The objective of simulating the system model is to test the control strategy and energy management efficiency of this scooter while it is subjected to different loads. The simulation results obtained show interesting achievements.","PeriodicalId":401063,"journal":{"name":"020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP)","volume":"238 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130744603","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}