Lassaad Zaway, L. Chrifi-Alaoui, N. B. Amor, M. Jallouli, L. Delahoche
{"title":"Classification of EEG Signals using Deep Learning","authors":"Lassaad Zaway, L. Chrifi-Alaoui, N. B. Amor, M. Jallouli, L. Delahoche","doi":"10.1109/SSD54932.2022.9955724","DOIUrl":"https://doi.org/10.1109/SSD54932.2022.9955724","url":null,"abstract":"Electroencephalography (EEG) is an efficient modality applied to record brain signals that corresponds to different states from the scalp surface area. These signals can be classified according to their physiological parameters to be used later for the recognition of a state of confusion. Such state is characterized by the inability of paying attention, the inability of thinking, disorientation and fluctuations in the level of alertness. In this work, the EEG signals are generated by the Mindset device and collected from several candidates. These data were classified using deep neural networks. Next, various algorithms such as Conventional Neural Network (CNN), K-Nearest Neighbors (KNN) and Long-Short Term Memory (LSTM) were applied to decode students' state of mind based on their brain waves. To improve the classification results, we propose a hybrid classification method based on CNN-LSTM. Our proposal method outperforms the other ones. Indeed, the precision obtained by this model is up to 98.59%.","PeriodicalId":253898,"journal":{"name":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129893674","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}
H. Mellah, K. Hemsas, H. Sahraoui, R. Taleb, Ismail Bouyakoub
{"title":"Estimation of Speed, Stator and Rotor Winding Temperature of an Induction Machine Using a CFNN","authors":"H. Mellah, K. Hemsas, H. Sahraoui, R. Taleb, Ismail Bouyakoub","doi":"10.1109/SSD54932.2022.9955862","DOIUrl":"https://doi.org/10.1109/SSD54932.2022.9955862","url":null,"abstract":"Because of the financial costs associated with delayed output, induction motor failures can be quite costly. According to studies conducted by the IEEE Industry Applications Society, the insulation of the stator winding is responsible for 30% of motor failures. Because of the financial costs associated with delayed output, induction motor failures can be quite costly. Based on a cascade-forward neural network (CFNN) with Bayesian Regulation Backpropagation (BRBP), a sensorless speed, stator and rotor resistance, and temperature estimator for induction motors is proposed in this research. Because we don't want to employ a thermal sensor, we'll use a thermal model to estimate the temperature of the BDC machine. Previous research has suggested either nonintelligent estimators that rely on the model, such as the extended Kalman filter and Luenberger's observer, or estimators that do not estimate the speed, temperature, and resistance all at the same time. Simulation and comparison with simulation findings from the literature have both been used to verify the suggested method.","PeriodicalId":253898,"journal":{"name":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128364403","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}
Khaled Dhibi, M. Mansouri, Kais Bouzrara, H. Nounou, M. Nounou
{"title":"Uncertain Fault Diagnosis of Grid-Connected PV Systems based Improved Data-Driven Paradigms","authors":"Khaled Dhibi, M. Mansouri, Kais Bouzrara, H. Nounou, M. Nounou","doi":"10.1109/SSD54932.2022.9955664","DOIUrl":"https://doi.org/10.1109/SSD54932.2022.9955664","url":null,"abstract":"The main idea behind this work is to diagnose Grid-Connected Photovoltaic (PV) systems. The uncertainty was treated by using the interval-valued data representation. The main interventions are threefold: first, interval ensemble techniques based on the combination of several models (SVM, KNN, and tree) into one improved model are proposed in order to isolate the different PV systems operating modes using interval raw data. Then, feature extraction and selection steps are proposed to improve the fault diagnosis results. Therefore, the interval KPCA (IKPCA) method is performed in order to extract and select the important characteristics. The proposed techniques were used to diagnose the GCPV system under different operating modes. The results demonstrated the superiority of the proposed methods.","PeriodicalId":253898,"journal":{"name":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127457421","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":"State Space Feedback Control with Fractional Order $text{PI}^{lambda}$ Configuration for Fractional Order Cryptovirology Stabilization in Blockchain Systems","authors":"Mohsen Mohamed Hadji, S. Ladaci","doi":"10.1109/SSD54932.2022.9955759","DOIUrl":"https://doi.org/10.1109/SSD54932.2022.9955759","url":null,"abstract":"This paper proposes a fractional-order control scheme design for the stabilization of the non-linear chaotic cryptovirology in blockchain systems. Particle swarm optimization algorithm (PSO) is used for solving the Fractional order PI $text{PI}^{lambda}$ parameter's tuning. We show by numerical simulations that the fractional $text{PI}^{lambda}$ controller provides a good closed loop system performance for stabilizing the problem of unstable fixed point.","PeriodicalId":253898,"journal":{"name":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129929015","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":"Region-of-Interest based Video Coding Strategy for Low Bitrate Surveillance Systems","authors":"Ahcen Aliouat, N. Kouadria, M. Maimour, S. Harize","doi":"10.1109/SSD54932.2022.9955963","DOIUrl":"https://doi.org/10.1109/SSD54932.2022.9955963","url":null,"abstract":"In this work, we propose a fast and efficient Region-of-Interest based video coding strategy for surveillance systems involving low bitrate. The proposed algorithm is based on a combination of three major techniques, namely, edge detection, frame differencing and sum of absolute differences. We improve the algorithm accuracy through the use of morphological operations. A thresholding is performed to classify the frame blocks into moving and non-moving blocks. This allows to compress and sent to the destination only moving blocks in an object-based video coding scenario. The obtained results prove the efficiency of our proposal in terms of accurate detection, data reduction and bitrate saving.","PeriodicalId":253898,"journal":{"name":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129987079","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":"Numerical Modelling of the Coupling Electromagnetic- Thermal Equations of an Annular Induction MHD Pump","authors":"Nassima-Bergoug, Fatimazohra-Kadid, R. Abdessemed","doi":"10.1109/SSD54932.2022.9955927","DOIUrl":"https://doi.org/10.1109/SSD54932.2022.9955927","url":null,"abstract":"This paper presents numerical analysis of the thermal and electromagnetic induction distribution in the channel of the MHD pump; Maxwell's equations are coupled with energy equations using the finite volume method (FVM) in cylindrical coordinate. The magnetic induction and the electromagnetic potential in MHD pump are presented. The variation of the temperature in harmonic mode is studied. Results obtained in the MHD pump show that the maximum temperature occurs at the medium of the channel. In this region, the temperature reaches about 430° K.","PeriodicalId":253898,"journal":{"name":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130031585","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}
Hussamaldeen Jaradat, A. Al-Hamry, Qiming Wang, Junfei Wang, Yu Zhou, Yucheng Song, M. Ibbini, O. Kanoun
{"title":"Performance Investigation of Screen-Printed Carbon Electrodes Activated by MES-Acid","authors":"Hussamaldeen Jaradat, A. Al-Hamry, Qiming Wang, Junfei Wang, Yu Zhou, Yucheng Song, M. Ibbini, O. Kanoun","doi":"10.1109/SSD54932.2022.9955930","DOIUrl":"https://doi.org/10.1109/SSD54932.2022.9955930","url":null,"abstract":"Carbon is a well-known material for its properties, versatility, availability, and wide range of applications. Screen-printed carbon electrodes (SPCEs) have several attractive properties like mass production, price effectiveness, and technical properties. However, SPCEs performance usually needs to be enhanced with several approaches, such as modifying with nanocomposite materials, electrochemical activation, or doping. In this work, an investigation focused on the effect of 2-(N-morpholino)ethanesulfonic-acid (MES) – electrochemical activation of SPCEs was conducted. Electrochemical methods, i.e., cyclic voltammetry and impedance spectroscopy, were utilized as characterization techniques. This study utilizes the concept of charge transfer resistance Ret and its drop as a measure to assess the enhancement in conductivity. The results show a significant enhancement in charge transfer resistance (Rct). For graphite electrodes, Ret was reduced by 52% after pretreatment. Meanwhile, the Rct dropped by 54% for the carbon nanotube-modified graphite electrodes.","PeriodicalId":253898,"journal":{"name":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125648246","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}
Abdul-Wahid A. Saif, M. Khaldi, Sami El-Ferik, Ahmad Baubaid, Jumah El-Alwani
{"title":"Optimal control of a three-stages supply chain model with shortages","authors":"Abdul-Wahid A. Saif, M. Khaldi, Sami El-Ferik, Ahmad Baubaid, Jumah El-Alwani","doi":"10.1109/SSD54932.2022.9955889","DOIUrl":"https://doi.org/10.1109/SSD54932.2022.9955889","url":null,"abstract":"This paper considers an optimal control of a three-stage supply chain model that consists of a manufacturer, a vendor and a retailer. The model is developed under a continuous-time review policy where the deterioration rate is fixed, shortages are allowed and the demand is assumed to be a linear function of price. Optimal control theory for non-smooth dynamic systems is applied in order to maximize the supply chain profit by optimizing both of the production rate and the dynamic price. To illustrate the result of the proposed model, a numerical example is presented.","PeriodicalId":253898,"journal":{"name":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"88 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130756870","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":"Areas Division and Multiple UAV Coverage Path Planning For Gas Distribution Map","authors":"Abdelwahhab Bouras, Y. Bouzid, M. Guiatni","doi":"10.1109/SSD54932.2022.9955697","DOIUrl":"https://doi.org/10.1109/SSD54932.2022.9955697","url":null,"abstract":"Scientific researchers working on multi-UAVs agree that they provide a lot of advantages over using just one. Indeed, a multi-UAV system can handle more complex operations on larger surfaces with better efficiency. Collecting information and sharing it with each other still makes it possible to tackle new missions. However, the most delicate task is to ensure optimal and efficient planning. In this work, a fleet of drones (quadcopters) is deployed in a polluted area to ensure spatial sampling of this region of interest (ROI). The purpose is to gather data and rebuild the Gas Distribution Map (GDM) and/or how the pollution assessment is dispersed. First, after an adequate environmental simulation, the division of the ROI between UAVs is addressed. Then, according to the desired sampling resolution, a grid of measurement points is established in each resulting sub-region. After that, the aerial coverage mission is modeled as a Traveling Salesman Problem (TSP) and resolved by adapting Genetic Algorithms (GA). The last step consists of data collection and the GDM reconstruction. Through several simulation scenarios, the proposed techniques show that they can offer effective solutions for several coverage applications, especially for GDM.","PeriodicalId":253898,"journal":{"name":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130961365","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":"A Comparative Trajectory Tracking Controls of a Mobile Robot","authors":"Salim Refoufi, Tahar Abdelli, Djamel Righi","doi":"10.1109/SSD54932.2022.9955669","DOIUrl":"https://doi.org/10.1109/SSD54932.2022.9955669","url":null,"abstract":"The work presented in this paper is focused on developing robust control laws to solve the problem of traj ectories tracking of differential wheeled mobile robots pioneer 3DX. The main objective is to guarantee the correct behavior of the system and to ensure an accurate traj ectory tracking under the system parametric variations. The designed control law forces the robot to perform minimum error path tracking in order to follow a certain path to reach the final destination in a predefined time.","PeriodicalId":253898,"journal":{"name":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"351 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131352962","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}