Y. Bakou, L. Saihi, M. Abid, Azzedinne Tayebi, Y. Hammaoui, Abdelkader Hadidi
{"title":"Comparative Study Between Robust SMC and H∞ Controller of a DVAWT System Based on DFIG","authors":"Y. Bakou, L. Saihi, M. Abid, Azzedinne Tayebi, Y. Hammaoui, Abdelkader Hadidi","doi":"10.1109/ICTACSE50438.2022.10009745","DOIUrl":"https://doi.org/10.1109/ICTACSE50438.2022.10009745","url":null,"abstract":"In the propose of the work, a Direct Driven Vertical Axis Wind Turbine (DVAWT) based on a Doubly Fed Induction Generator (DFIG) connected directly to the network through the stator is modeled, controlled, and simulated. The development of two effective and robust controls for the stator power (active/ reactive) of DFIG is what we are concerned; the first is the sliding mode control, and the second is the H-infinity (H∞) controller. The objective was to compare them to each other to maintain the optimal performance of DVAWT and guarantee the stability of DVAWT when machine parameters change.","PeriodicalId":301767,"journal":{"name":"2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114708772","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":"Welcome to ICTACSE 2022","authors":"","doi":"10.1109/ictacse50438.2022.10009768","DOIUrl":"https://doi.org/10.1109/ictacse50438.2022.10009768","url":null,"abstract":"","PeriodicalId":301767,"journal":{"name":"2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122448940","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":"Keynotes Speakers","authors":"J. Libraga, N. Carriço","doi":"10.1109/ICTACSE50438.2022.10009731","DOIUrl":"https://doi.org/10.1109/ICTACSE50438.2022.10009731","url":null,"abstract":"Biography : Patrice Wira is a Professor at IRIMAS (Institut de Recherche en Informatique, Mathématiques, Automatique et Signal) Laboratory, Université de Haute Alsace, Mulhouse, France. He received his M.S. degree and Ph.D. degree in electrical engineering from Université de Haute Alsace in 1997 and 2002, respectively. He has published several journal papers, book chapters and conference papers. He has also chaired and cochaired numerous sessions and special sessions on intelligent control and machine learning techniques issues. His current research interests focus on artificial neural networks, adaptive control systems, neurocontrol, and especially their applicability to robotics and to active power filtering. Pr. Dr. Wira was Deputy Director of IRIMAS from 2019 to 2020. Since 2020 he is Director of the University Institute of Technology of Mulhouse (IUT: Institut Universitaire de Technologie de Mulhouse). He is member of IEEE since 2004 and senior member of IEEE since 2013.","PeriodicalId":301767,"journal":{"name":"2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126620966","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}
Azzedinne Tayebi, Mohammed Yaichi, Y. Bakou, Abdelkader Boutadara, L. Saihi, Abdelkader Hadidi
{"title":"Performance Analysis of a stand-alone photovoltaic pumping Running MPPT by Constant V/f Technology","authors":"Azzedinne Tayebi, Mohammed Yaichi, Y. Bakou, Abdelkader Boutadara, L. Saihi, Abdelkader Hadidi","doi":"10.1109/ICTACSE50438.2022.10009672","DOIUrl":"https://doi.org/10.1109/ICTACSE50438.2022.10009672","url":null,"abstract":"One of the most urgent problems that we have to face in the Saharan regions intended for agriculture is access to drinking water for irrigation, for livestock, etc. Most of the agrarian regions affected by this problem are far from electricity distribution networks. Thanks to the technological development and the emergence of several solutions, one of the solutions is to introduce photovoltaic energy as a source of electricity, and among the most widespread and successful applications is a stand-alone photovoltaic pumping system.For these systems, and to improve their operation, various control algorithms have been developed. Among these commands that we have experienced, the one required to maximize the power delivered by the photovoltaic generator (GPV) is based on the voltage feedback by fixed Vref, using the constant V/f law. The technique is open loop. By proper adjustment of the output frequency of the inverter, the efficiency of the motor can be maintained in accordance with the change of the insolation and the temperature. In this article, we propose to analyze the performance obtained with this control by varying the reference speed (or the insolation).This control technology was applied to a stand-alone photovoltaic pumping system installed in our research unit in Adrar. The experimental results obtained show that a better performance in terms of power utilization of the photovoltaic generator can be achieved thanks to this control technique, with precise sizing and in a short range of temperature variations throughout the day.","PeriodicalId":301767,"journal":{"name":"2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128445723","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":"Use of Different Variants of Item Response Theory-Based Feature Selection Method for Text Categorization","authors":"Onder Coban","doi":"10.1109/ICTACSE50438.2022.10009653","DOIUrl":"https://doi.org/10.1109/ICTACSE50438.2022.10009653","url":null,"abstract":"In this study, we investigate the performance of the item response theory (IRT)-based feature selection (FS) approach on eight text datasets considering different feature sets and weighting schemes. We also employ its recently introduced variants in our evaluation. The results of our extensive experiments show that the IRT-based FS approach often reaches or improves the classification f-score by selecting a higher number of features compared to their well-known peers. Recently introduced variants, on the other hand, often fall behind the IRT1 and IRT2 for the task of text categorization.","PeriodicalId":301767,"journal":{"name":"2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131332506","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}
Mohamed Rebiai, B. Bengherbia, Nadjet Benkhaoua, Nadjet Douik, Hamza Hentabli, Yassine Toumi
{"title":"Segmentation and Classification of Cardiac Sound Signals and Their Use in the Diagnosis of Heart Disease","authors":"Mohamed Rebiai, B. Bengherbia, Nadjet Benkhaoua, Nadjet Douik, Hamza Hentabli, Yassine Toumi","doi":"10.1109/ICTACSE50438.2022.10009654","DOIUrl":"https://doi.org/10.1109/ICTACSE50438.2022.10009654","url":null,"abstract":"The PCG Phonocardiogram signal represents the recording of heart sounds. The study of intracardiac hemodynamic makes it possible to understand the nature and origin of these normal and pathological heart sounds. The classification of PCG signal beats into different pathological cases is a very complex recognition task, which has prompted researchers to develop techniques for the automatic classification of cardiovascular diseases for proper diagnosis. In this manuscript, we propose an automatic classification of PCG signals using the Deep Learning ANN algorithm based on PCG signal segmentation to extract features from PCG signals. The results allow us to find the type of disease with an accuracy of 96%.","PeriodicalId":301767,"journal":{"name":"2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125379251","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":"SARIMA and neural network models combination for time series forecasting: Application to daily water consumption","authors":"Aida Boudhaouia, P. Wira","doi":"10.1109/ICTACSE50438.2022.10009716","DOIUrl":"https://doi.org/10.1109/ICTACSE50438.2022.10009716","url":null,"abstract":"A water management strategy focused on forecasting of the future demand offers the opportunity to reduce water capture, storage and treatment costs. Consequently, it reduces the consumers billing. In this paper, we propose techniques for monitoring by forecasting water consumption in the context of smart building. We mainly use three individual models: seasonal autoregressive integrated moving average (SARIMA), artificial neural network (ANN) models such as long short-term memory (LSTM) and multilayer perceptron (MLP). We propose several new models of hybrid suits that mix individual models to find the most accurate solution to predict daily water consumption.We concluded that the combination of SARIMA and neural network models MLP seems better than individual models and provides more reliable and accurate results with 4.6% compared to the individual SARIMA model forecasting results which has 7.7%.","PeriodicalId":301767,"journal":{"name":"2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE)","volume":"554 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133807578","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":"Rear Wheel Independent Drive Electric Vehicle Yaw Stability Control System Design and Analysis","authors":"Celal Tayfur Koç, M. T. Emirler","doi":"10.1109/ICTACSE50438.2022.10009776","DOIUrl":"https://doi.org/10.1109/ICTACSE50438.2022.10009776","url":null,"abstract":"This paper introduces rear wheel traction based fully electrical vehicle lateral stability controller design with independently driven electric motors. The proposed controller consists of two stages: lower and upper controllers. The upper controller is the proportional-integral (PI) controller, which calculates the required corrective yaw moment based on the desired and actual yaw rate of the vehicle. The proposed PI controller design method relies on the parameter space approach (PSA) considering D-stability. The time domain and frequency domain requirements are visualized by contour plotting method on the proportional-integral gain parameter plane. This multi-objective visualization assists designers while selecting an appropriate PI controller gain pairs. The lower controller distributes tire forces based on the vehicle's actual and desired situation using a torque distribution algorithm. The double-track vehicle model is employed to validate the proposed control system under different driving scenarios in MATLAB/Simulink. The results show that by using only the traction forces generated independently on the rear wheels, the lateral control of the vehicle considering D-stability, settling time, overshoot, bandwidth, rise time, integral-time-absolute-error and phase margin criteria could be accurately achieved under beforehand defined driving conditions.","PeriodicalId":301767,"journal":{"name":"2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE)","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122435425","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}
C. B. N. Fapi, B. Colicchio, P. Wira, M. Kamta, D. Abdeslam
{"title":"Performance Analysis of a Solar Power Plant Connected to a Small Grid at the IUT of Mulhouse","authors":"C. B. N. Fapi, B. Colicchio, P. Wira, M. Kamta, D. Abdeslam","doi":"10.1109/ICTACSE50438.2022.10009742","DOIUrl":"https://doi.org/10.1109/ICTACSE50438.2022.10009742","url":null,"abstract":"In this paper, the performance of a 1.5 kWp grid- connected photovoltaic (PV) system built at the IUT of Mulhouse, University of Haute Alsace (France) is analyzed. This plant is equipped with polycrystalline silicon photovoltaic panels. In this study, the method based on the IEC 61724 standardized performances from the International Energy Agency is used to calculate the different performance parameters from the collected data. The analysis of the system results covers the whole year 2021 (January 01 to December 31). During this period, the total annual energy supplied by the PV system is 1340,015 kWh. The annual reference yield, the annual PV system yield, the final annual PV system yield are respectively 3.583 h/d, 2.140 h/d and 2.080 h/d. The annual performance ratio is 51.682 %. The annual losses and miscellaneous annual losses of the PV system are 0.060 h/d and 1.630 h/d respectively. These results highlight the relatively good performance of the PV system installed in the city of Mulhouse.","PeriodicalId":301767,"journal":{"name":"2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121144881","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":"Organizers","authors":"Artur d'Avila Garcez","doi":"10.1109/ictacse50438.2022.10009887","DOIUrl":"https://doi.org/10.1109/ictacse50438.2022.10009887","url":null,"abstract":"","PeriodicalId":301767,"journal":{"name":"2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE)","volume":"333 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115979640","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}