2022 |
Khalil, E. M.; Mohamed, N.; Mohamed, H.; Lassad, S. Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665479820, (cited By 1). Résumé | Liens | BibTeX | Étiquettes: Asynchronous generators; Cost functions; Decision making; Electric fault currents; Electric machine theory; Energy conversion; Matrix converters; Predictive control systems; Set theory; Wind power, Direct matrix converter; Doubly fed induction generators; Doubly feed induction generator; Finite set; Finite set model predictive control; Fuzzy Decision making; Model predictive; Model-predictive control; Set models, Model predictive control @conference{Khalil2022, This paper deals with the study of finite set model predictive current control (FS-MPC) for doubly fed induction generator (DFIG) derived by direct matrix converter (DMC). The FS-MPC has proven it effectiveness in many power applications. This control technique possess a small steady state error in different operating conditions, a high sensitivity and fast dynamic response, and it can be applied in both linear and nonlinear systems. In the other hand, the frailty of this method consists of parameter mismatches which affect mathematical model. To overcome this problem, we propose to add past errors of rotor current to the cost function and adjust the weighting factors of the cost function with fuzzy decision making approach (FDM). The MATLAB/Simulink tool is used to evaluate the performance of this system in various scenarios. © 2022 IEEE. |
Mohamed, N.; Aymen, F.; Alharbi, T. E. A.; El-Bayeh, C. Z.; Lassaad, S.; Ghoneim, S. S. M.; Eicker, U. A Comprehensive Analysis of Wireless Charging Systems for Electric Vehicles Article de journal Dans: IEEE Access, vol. 10, p. 43865-43881, 2022, ISSN: 21693536, (cited By 28). Résumé | Liens | BibTeX | Étiquettes: Charging (batteries); Electric vehicles; Energy transfer; Functions; Topology; Transmitters, Coil; Dynamic modes; Inductive charging; Modeling; Receiver; Renewable energies; Static modes; Vehicle’s dynamics; Wireless communications; Wireless recharge, Inductive power transmission @article{Mohamed202243865, In the coming years, major transportation sectors will be electrified, in which more accessible and easy solutions for charging Electric Vehicles (EVs) become vital. Wireless charging is considered one of the best and easiest methods to charge EVs anywhere, even during the driving of cars. To get accurate charging power rates while charging wirelessly, advanced mathematical models are needed to accurately present the charging power. Such models must take into consideration all the coils parameters, shapes, the used compensation topology, and if the system is static or dynamic. This paper presents a comprehensive analysis of the wireless charging systems adapted for EVs by stating the most common charging topologies, and architectures, and by concentrating on the corresponding mathematical models used to calculate the given electrical power as a function of the EV’s situation on streets and its speed. Then, it is possible to evaluate the EV autonomy, and an accurate approximation can be determined when EV is on a wireless charging road. Even with the citation and comparison between the two studied models, this paper opens some perspectives for energy transmitter tools and tries to explain how renewable energy can help the deployment of this technology. © 2013 IEEE. |
Yahia, M.; Ali, T.; Mortula, M. M. Span Statistics and Their Impacts on PolSAR Applications Article de journal Dans: IEEE Geoscience and Remote Sensing Letters, vol. 19, 2022, ISSN: 1545598X, (cited By 4). Résumé | Liens | BibTeX | Étiquettes: Accurate estimation; Diagonal elements; Direct calculation; Equivalent number of looks; Probability density function (pdf); Scattering property; Synthetic aperture radar polarimetries; Theoretical modeling, algorithm; detection method; satellite imagery; statistical analysis; synthetic aperture radar, Covariance matrix; Eigenvalues and eigenfunctions; Polarimeters; Synthetic aperture radar, Probability density function @article{Yahia2022, The span is widely employed in synthetic aperture radar (SAR) polarimetry (PolSAR) applications. The span is a summation of the three polarimetric intensity channels, its probability density function (pdf) is commonly assumed in the literature as that of the intensity polarimetric channel. In this letter, the statistics of the span are investigated. It has been demonstrated that the span is modeled by $L$ -looks intensity pdf where $L$ is the equivalent number of looks (ENLs) of the span transformation, i.e., ENLspan. To estimate ENLspan, a theoretical model has been proposed. The results showed that ENLspan ranges in [1,3] depending on the media’s scattering property. Results demonstrated also that the use of the eigenvalues produced better estimation of ENLspan than the use of diagonal elements of the coherence or the covariance matrix. The proposed model produced also a more accurate estimation of ENLspan than the one obtained by the direct calculation. Finally, it has been demonstrated that the use of the introduced span statistics gave a correct estimation of the performance of the classification and the filtering PolSAR techniques whereas classical span statistics overestimated them. © 2004-2012 IEEE. |
Leila, Ennaceur Arjoun; Othman, Soufiene Ben; Sakli, Hedi IoT Based Patient Health Monitoring System to Combat COVID-19 Pandemic Conférence 2022, (Cited by: 4; All Open Access, Bronze Open Access). @conference{Leila2022144, |
Jerbi, Houssem; Dabbagui, Boudour; Hamidi, Faical; Aoun, Mohamad; Bouazzi, Yassine; Aoun, Sondess Ben Computing the Domain of Attraction using Numerical Techniques Conférence 2022, (Cited by: 0). Résumé | Liens | BibTeX | Étiquettes: Asymptotically stable equilibrium, Basins of attraction, Carleman linearization, Domain of attraction, Iterative methods, Linearization, Lyapunov functions, Lyapunov’s functions, Lypaunov functions, MATLAB, Non-linear modelling, Nonlinear systems, Numerical methods, Numerical techniques, Quadratic lyapunov function, Stability analyze, System stability @conference{Jerbi2022b, Stability analysis of controlled nonlinear systems is a problem of fundamental importance in system engineering. This paper elaborates an explicit numerical technique to maximize a quadratic Lyapunov function for the class of polynomial nonlinear models. Using the computed Lyapunov function an enlarged subsets of the basin of attraction of an asymptotically stable equilibrium can be computed in an iterative analytical way. We mainly use the Carleman linearization technique that converts a nonlinear autonomous system of finite dimension into an equivalent linear infinite dimension one. We implement the sampling technique as a numerical tool allowing the maximization of estimated regions of attraction. An example is given to demonstrate the efficiency of the proposed approach. The numerical study analysis of the designed scheme is led using the Matlab software environment. © 2022 IEEE. |
Yakoub, Zaineb; Amairi, Messaoud; Chetoui, Manel; Aoun, Mohamed Bias Recursive Least Squares Method for Fractional Order System Identification Conférence 2022, (Cited by: 0). Résumé | Liens | BibTeX | Étiquettes: Additive noise, Algebra, Bias compensation, Fractional order, Fractional order differentiation, Fractional-order systems, Identification, Least Square, Least squares approximations, Model problems, Modelling and identifications, Recursive least-squares method, System-identification @conference{Yakoub20221003b, This paper mainly studies the modeling and identification problems for fractional order systems. A novel modeling scheme based on an online identification technique is investigated. Firstly, the recursive least squares algorithm is applied to identify the fractional order system. However, if the measurement of the output signal is affected by an additive noise this algorithm is unable to give consistent estimates. Thus, this contribution implements a technique based on the bias compensation principle. The main idea is to eliminate the introduced bias by adding a correction term in the recursive least squares estimates. The results of the simulated example indicate that the proposed estimator provides good accuracy. © 2022 IEEE. |
Dadi, Leila; Ethabet, Haifa; Aoun, Mohamed Set-Membership Fault Detection for Discrete-time Switched Linear Systems Conférence 2022, (Cited by: 0). Résumé | Liens | BibTeX | Étiquettes: Actuator fault, Actuators, Bounded disturbances, Cooperativity, Discrete time, Fault detection, Faults detection, Interval observers, Linear matrix inequalities, Linear systems, Set-membership, Stability condition, Switched linear system, Switched system @conference{Dadi2022190b, This work deals with Fault Detection (FD) for a class of discrete-time switched linear systems with actuator faults subject to bounded disturbances. First, based on cooperativity and stability conditions and under the assumption that disturbances and measurement noise are unknown but bounded, upper and lower bounds of the state are calculated using an interval observer. The design conditions of the observer are expressed in terms of Linear Matrix Inequalities (LMIs). Second, a fault detection decision is developed to indicate the presence of faults using interval analysis. Simulation results are provided to illustrate the performance of the proposed fault detection approach. © 2022 IEEE. |
Yamna, Mounira Ben; Dakhli, Nabil; Sakli, Hedi Comparison between a simple serial and a voltage doubler rectifiers circuits Conférence 2022, (Cited by: 0). @conference{BenYamna20221721, |
Yamna, M. Ben; Dakhli, N.; Sakli, H. Rectifier Circuit at 3.5 GHz for 5G Applications Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665482615, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: 5G mobile communication systems; Application programs; Conversion efficiency; Electric rectifiers; Rectifying circuits; Schottky barrier diodes, Advanced design system softwares; Conversion circuits; Different effects; External components; Input power; Rectifier; Rectifier circuit; RF-DC conversion; Schottky diodes, Timing circuits @conference{BenYamna2022305, This paper presents a 3.5 GHz rectifying circuit designed for 5G applications which it developed and optimized with Advanced Design System (ADS) software. In this work, we present the approved criteria for choosing the convenable schottky diode in a conversion circuit and the differents effects of the external components on RF-DC conversion efficiency. The developed rectifier has reached 63.5% of RF-DC conversion efficiency at 0 dBm of RF input power. © 2022 IEEE. |
Othman, S. B.; Almalki, F. A.; Chakraborty, C.; Sakli, H. Privacy-preserving aware data aggregation for IoT-based healthcare with green computing technologies Article de journal Dans: Computers and Electrical Engineering, vol. 101, 2022, ISSN: 00457906, (cited By 59). Résumé | Liens | BibTeX | Étiquettes: Authentication; Energy resources; Energy utilization; Green computing; Health care; Privacy-preserving techniques; Security systems, Communication overheads; Computing technology; Data aggregation; Dual-prediction; Energy-consumption; Internet of things technologies; Medical sensors; Privacy preserving; Security; Security features, Internet of things @article{Othman2022, Despite the rapid development of the Internet of Things technologies where more and more medical sensors and gadgets are connected to the Internet, limited energy resources due to transmission, and security are still main challenges. Most cases, patients wear multiple medical devices that transmit sensed medical data wirelessly to servers, which might cause big traffic on the communication networks, which in turn cause high energy consumption. Therefore, using the data aggregation, we can considerably reduce the energy consumption by eliminating redundant data; yet collected data must be fully protected. Secure data collection and transfer to centralized servers in healthcare applications employing IoT is quite challenging to protect against several attacks for illegal data access. For this reason, massive security measures should be taken to ensure that patients’ data can only be accessed by legitimate users. This paper proposes EPPADA: Efficient Privacy‑Preserving Authentication and Data Aggregation scheme in conjunction with Homomorphic Encryption concepts to meet requirements of healthcare using IoT with green computing technologies. The main objective of this proposed scheme is to decrease the communication overhead and energy consumption while maintaining safe and secure aggregation of the healthcare data between medical sensors and cloud servers. The proposed system is experimentally developed using E-health sensor shield V2.0 platform. Based on security analysis that has the most extensive set of security features, our multi-objective approach enhances the End-to-End Delay, Computational Cost, Communication Overhead, besides maintaining security features. © 2022 |
Lamouchi, Rihab; Amairi, Messaoud; Raissi, Tarek; Aoun, Mohamed Robust Fault Detection based on Zonotopic Observers for Linear Parameter Varying Systems Conférence 2022, (Cited by: 1). Résumé | Liens | BibTeX | Étiquettes: Discrete time, Fault detection, Faults detection, Linear parameter varying systems, Linear systems, Measurement Noise, Numerical methods, Performance, Robust fault detection, Sensors faults, Uncertainty, Unknown but bounded, Zonotopes @conference{Lamouchi2022773b, In this paper, zonotopic fault detection methodology is proposed for a class of discrete-Time Linear Parameter Varying (LPV) systems with sensor faults. The disturbances and measurement noise are assumed to be unknown but bounded by zonotope. First, a fault detection observer is designed based on L? performance to attenuate the effects of the uncertainties and to improve the accuracy of the proposed residual framers. Then, the fault sensitivity is taken into account by measuring H-performance and zonotopic residual evaluation is presented. Finally, the effectiveness of the proposed method is demonstrated by a numerical example. © 2022 IEEE. |
Dadi, Leila; Dinh, Thach Ngoc; Raïssi, Tarek; Ethabet, Haifa; Aoun, Mohamed New Finite-Time Observers design for a Discrete-Time Switched Linear System Conférence vol. 55, no. 40, 2022, (Cited by: 0; All Open Access, Bronze Open Access, Green Open Access). Résumé | Liens | BibTeX | Étiquettes: Additive disturbance, Approximate estimation, Discrete time, Exact estimation, Finite-time observers, Fixed time, Initial state, Linear systems, Measurement Noise, Observers designs, Switched linear system @conference{Dadi202273b, In this work, we consider a discrete-time switched linear system. A novel approach is introduced to estimate its state in a finite fixed time which can be arbitrarily chosen and is independent of the initial state. For cases where the additive disturbance and measurement noise are known, we provide an exact estimation. Otherwise, a finite-time interval observer is designed. The crucial idea is based on using past values of the input and output of the studied system and a minimal dwell time condition. Simulation results are provided to illustrate the effectiveness of the proposed techniques in different scenarios of finite time choices. Copyright © 2022 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
Saidi, B.; Yacoub, Z.; Amairi, M.; Aoun, M. Constant Phase Based Design of Robust Fractional PI Controller for Uncertain First Order Plus Dead Time Systems Article de journal Dans: Studies in Systems, Decision and Control, vol. 364, p. 159 – 179, 2022, (Cited by: 0). Résumé | Liens | BibTeX | Étiquettes: @article{Saidi2022159b, A new design method of a robust fractional order PI controller for uncertain First Order Plus Dead Time systems is proposed in this paper. The proposed design method uses a numerical optimization algorithm to determine the unknown controller parameters. The main objective of the proposed design method is improving the robustness in degree of stability to gain variations and the stability robustness to the other parameters variations that affect the phase by imposing a constant phase margin to the corrected open loop system in a pre-specified frequency band. Several simulation examples are presented to design the robust fractional PI controller and test the robustness for different forms of uncertainty. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
Lamouchi, Rihab; Raissi, Tarek; Amairi, Messaoud; Aoun, Mohamed On interval observer design for active Fault Tolerant Control of Linear Parameter-Varying systems Article de journal Dans: Systems and Control Letters, vol. 164, 2022, (Cited by: 5). Résumé | Liens | BibTeX | Étiquettes: Active fault tolerant control, Actuator fault, Actuator fault estimation, Actuators, Discrete time, Discrete time control systems, Discrete-time linear parameter-varying system, Fault estimation, Fault tolerance, Faulting, Interval observers, Linear parameter varying systems, Linear systems, L∞ norm, State feedback, Uncertainty analysis, ∞norm @article{Lamouchi2022h, This paper proposes an active Fault Tolerant Control (FTC) scheme for polytopic uncertain Linear Parameter-Varying (LPV) systems subject to uncertainties and actuator faults. First, a fault estimation interval observer is designed to estimate the system state and the actuator fault. A novel approach is developed using the L∞ norm to attenuate the effects of the uncertainties and to improve the accuracy of the proposed observer. Then, based on the fault estimation information, the FTC strategy is designed using a linear state feedback control law and H∞ technique to compensate actuator faults and maintain system performance and stability, even under faulty conditions. Finally, the effectiveness of the proposed method is demonstrated by its application to a vehicle lateral dynamic nonlinear model. © 2022 Elsevier B.V. |
Victor, Stéphane; Mayoufi, Abir; Malti, Rachid; Chetoui, Manel; Aoun, Mohamed System identification of MISO fractional systems: Parameter and differentiation order estimation Article de journal Dans: Automatica, vol. 141, 2022, (Cited by: 10). Résumé | Liens | BibTeX | Étiquettes: Continous time, Continuous time systems, Fractional model, Fractional systems, Instrumental variables, Intelligent systems, Monte Carlo methods, Multiple input single output systems, Multiple inputs single outputs, Optimization, Optimization algorithms, Order estimation, Order optimizations, Parameter estimation, Religious buildings, System-identification @article{Victor2022b, This paper deals with continuous-time system identification of multiple-input single-output (MISO) fractional differentiation models. When differentiation orders are assumed to be known, coefficients are estimated using the simplified refined instrumental variable method for continuous-time fractional models extended to the MISO case. For unknown differentiation orders, a two-stage optimization algorithm is proposed with the developed instrumental variable for coefficient estimation and a gradient-based algorithm for differentiation order estimation. A new definition of structured-commensurability (or S-commensurability) is introduced to better cope with differentiation order estimation. Three variants of the algorithm are then proposed: (i) first, all differentiation orders are set as integer multiples of a global S-commensurate order, (ii) then, the differentiation orders are set as integer multiples of a local S-commensurate orders (one S-commensurate order for each subsystem), (iii) finally, all differentiation orders are estimated by releasing the S-commensurability constraint. The first variant has the smallest number of parameters and is used as a good initial hit for the second variant which in turn is used as a good initial hit for the third variant. Such a progressive increase of the number of parameters allows better performance of the optimization algorithm evaluated by Monte Carlo simulation analysis. © 2022 Elsevier Ltd |
Yakoub, Zaineb; Naifar, Omar; Amairi, Messaoud; Chetoui, Manel; Aoun, Mohamed; Makhlouf, Abdellatif Ben A Bias-Corrected Method for Fractional Linear Parameter Varying Systems Article de journal Dans: Mathematical Problems in Engineering, vol. 2022, 2022, (Cited by: 1; All Open Access, Gold Open Access). Résumé | Liens | BibTeX | Étiquettes: Bias correction, Correction techniques, Fractional model, Fractional order, Identification algorithms, LeastSquare algorithm, Linear parameter varying systems, Linear programming, Linear systems, Nelder-Mead simplex methods, Performance, Reliable results @article{Yakoub2022e, This paper proposes an identification algorithm for the fractional Linear Parameter Varying (LPV) system considering noisy scheduling and output measurements. A bias correction technique is provided in order to compensate for the bias caused by the least squares algorithm. This approach was created to estimate either coefficients or fractional-order differentiation, and it has been proven to produce unbiased and reliable results. The suggested method’s performance is assessed by the identification of two fractional models and was compared with Nelder-Mead Simplex method. © 2022 Zaineb Yakoub et al. |
Lamouchi, Rihab; Raissi, Tarek; Amairi, Messaoud; Aoun, Mohamed Interval observer-based methodology for passive fault tolerant control of linear parameter-varying systems Article de journal Dans: Transactions of the Institute of Measurement and Control, vol. 44, no. 5, p. 986 – 999, 2022, (Cited by: 4). Résumé | Liens | BibTeX | Étiquettes: Component faults, Control system stability, Control theory, Fault magnitudes, Fault tolerance, Faults tolerant controls, Interval observers, Linear parameter varying systems, Linear systems, LPV systems, Novel methodology, Observer-based, State feedback, Uncertainty, Unknown but bounded @article{Lamouchi2022986b, The paper deals with passive fault tolerant control for linear parameter varying systems subject to component faults. Under the assumption that the faults magnitudes are considered unknown but bounded, a novel methodology is proposed using interval observer with an (Formula presented.) formalism to attenuate the effects of the uncertainties and to improve the accuracy of the proposed observer. The necessary and sufficient conditions of the control system stability are developed in terms of matrix inequalities constraints using Lyapunov stability theory. Based on a linear state feedback, a fault tolerant control strategy is designed to handle component faults effect as well as external disturbances and preserve the system closed-loop stability for both fault-free and component faulty cases. Two simulation examples are presented to demonstrate the effectiveness of the proposed method. © The Author(s) 2021. |
Yakoub, Z.; Aoun, M.; Amairi, M.; Chetoui, M. Identification of Continuous-Time Fractional Models from Noisy Input and Output Signals Article de journal Dans: Studies in Systems, Decision and Control, vol. 364, p. 181 – 216, 2022, (Cited by: 4). Résumé | Liens | BibTeX | Étiquettes: @article{Yakoub2022181b, It is well known that, in some practical system identification situations, measuring both input and output signals can commonly be affected by additive noises. In this paper, we consider the problem of identifying continuous-time fractional systems from noisy input and output measurements. The bias correction scheme, which aims at eliminating the bias introduced by the fractional order ordinary least squares method, is presented, based on the estimation of variances of the input and output measured noises. The compensation method for the input and output noises is also studied by introducing an augmented high-order fractional-order system in the identification algorithm. The presented algorithm is established to perform unbiased coefficients and fractional orders estimation. The promising performances of the proposed method are assessed via the identification of a fractional model and a fractional real electronic system. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
Walid, Ounis; Slaheddine, Najar; Mohamed, Aoun REAL TIME TUNEABLE ANALOGUE PID CONTROLLER REALIZATION Conférence 2022, (Cited by: 0). Résumé | Liens | BibTeX | Étiquettes: Analog realization, Continuous time systems, Controller realization, Controllers, Discretization issue, Discretizations, Electric control equipment, PID controllers, Proportional control systems, Real- time, Three term control systems, Tunable analog PID, Tunable controller, Tunables, Voltage dividers @conference{Walid2022798b, This paper proposes a real time tunable analogue PID controller realisation witch can be used as a conventional PID, an adaptative PID or an intelligent PID ‘iPID’. The integral and derivative of the PID input signal are continuous time signals and never sampled. This avoid discretization issues such as aliasing phenomena and the critical sampling period choice. The operative PID circuit part is totally analogue. Few digital potentiometers and digital switches are used. This allows to tune the parameters values of the controller and select PI, PD, PID configuration. The analogue circuit part is designed with a new original circuit architecture. A prototype of the circuit is implemented. Experimentation results show good similarity to the theoretical simulations. © 2022 IEEE. |
Kilani, R.; Zouinkhi, A.; Bajic, E.; Abdelkrim, M. N. Socialization of Smart Communicative Objects in Industrial Internet of Things Conférence vol. 55, no. 10, Elsevier B.V., 2022, ISSN: 24058963, (cited By 4). Résumé | Liens | BibTeX | Étiquettes: Communicating objects; Communicative objects; Heterogeneous object; Interaction mechanisms; Interactive objects; Number of services; Smart devices; Smart objects; Social communities; Social internet of industrial thing, Industrial research; Multi agent systems, Internet of things @conference{Kilani20221924, In the recent past the Internet of Things (IoT) is moving from interactive objects to smart objects. The number of smart devices or sensors built-in becomes larger. The increase in the number of services exchanged between connected objects has led to the creation of a new concept called Social IoT (SIoT), in which heterogeneous or homogeneous objects can interact and request or exchange services, which makes it possible to include social or human actions in the IoT platform. The use of technologies based on the concept of the Internet of Things in applications and industrial sectors has built a new concept of research called the Industrial Internet of Things (IIoT). The integration of the SIoT concept into the Industrial Internet of Things (IIoT) plays an important role in improving system performance in Industry 4.0 and gives rise to the Social Internet of Industrial Things (SIoIT). In this context, we have revealed a new socio-inspired interaction model between industrial communicating objects inspired by sociological approaches that transform objects into socialized industrial communicating objects. These objects form a community, autonomously and dynamically, by exchanging messages to know each other perfectly, and service requests between objects are realized in an adaptive way according to the principles of social interaction governed by socio-inspired strategies and conditions. The model is evaluated using Netlogo multi-agent system simulation environment. Copyright © 2022 The Authors. This is an open access article under the CC BY-NC-ND license. |
Jlidi, Mokhtar; Hamidi, Faical; Abdelkrim, Mohamed Naceur; Jerbi, Houssem; Abbassi, Rabeh; Kchaou, Mourad 2022, (Cited by: 1). @conference{Jlidi2022, |
Benjemaa, R.; Elhsoumi, A.; Abdelkrim, M. N. Fault diagnosis for neutral time delay LPV Descriptor systems Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781728189390, (cited By 2). Résumé | Liens | BibTeX | Étiquettes: Adaptive polytopic observer; Descriptor systems; Fault estimation; Faults detection; Faults diagnosis; Linear parameter varying; Linear parameter varying neutral time delay system; Neutral time-delay system; Polytopic observers; Time-delays, Delay control systems; Failure analysis; Time delay; Timing circuits, Fault detection @conference{Benjemaa2022, This paper presents the problem of fault diagnosis method based on a descriptor approach for Linear Parameter Varying (LPV) systems with neutral time delay. This proposed method is based on an Adaptive Polytopic Observer (APO). This observer is synthesized to achieve the fault detection and estimation. Simulation results are presented to prove the effectiveness of the proposed observer. © 2022 IEEE. |
Mhamdi, H.; Othman, S. B. E. N.; Zouinkhi, A.; Sakli, H. Smart electronic medical record based on blockchain technology to combat Covid-19 pandemic Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Access control; Blockchain; Distributed ledger; Health care; Hospital data processing; Internet of things; Medical computing; Viruses, Block-chain; Covid-19; Electronic medical record; Follow up; Healthcare; Information concerning; IoT; Medical data; Medical record; Smart electronics, Smart contract @conference{Mhamdi2022698, The medical record is a crucial element in the follow-up of a patient. It includes the opinions of healthcare specialists, analyses, prescriptions, and all information concerning the patient. In fact, several actors such as the patient, the doctor, the pharmacist participate in the process of sharing and managing this file. But after the Covid-19 virus pandemic, the use and exchange of paper became dangerous. This need has pushed researchers to find solutions to minimize contact and save medical data in a secure and accessible way. For this purpose, we propose to investigate blockchain distributed ledger technology to manage electronic medical record. Blockchain technology provides just such a solution in the form of a distributed and secure registry that allows patients not only to have visibility over their data, but also to control access to it. In this article, we present a smart electronic medical record based on smart contract. We discuss relevant requirements to guarantee the security of patient data and then propose the system communication process. © 2022 IEEE. |
Aljawarneh, M.; Hamdaoui, R.; Zouinkhi, A.; Boussaid, B.; Abdelkrim, M. N. Energy efficiency approaches in Wireless Sensor Networks Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665482615, (cited By 1). Résumé | Liens | BibTeX | Étiquettes: Data handling; Digital storage; Electric batteries; Energy efficiency; Energy utilization; Machine learning, Duty-cycle; Energy consumption problems; Energy optimization; Energy-consumption; Limited energies; Machine-learning; Power; Routings; Sensing nodes, Wireless sensor networks @conference{Aljawarneh2022736, Wireless Sensor Networks (WSNs) send their data collaboratively across the network to the main base station responsible for analyzing and processing data. In WSNs, a battery with limited energy is used to drive the systems. Thus, energy consumption in WSNs is a serious problem that hinders their applications. The sensor will fail or be scrapped after consumption of the energy. This work gives an overview about the energy consumption problem in Wireless Sensor Networks (WSNs) and provides a survey on approaches used to optimize the sensors consumption on power. Different strategies used to rise the lifetime of the battery-based sensing nodes by energy minimization are analyzed and commented in this work. © 2022 IEEE. |
Kilani, R.; Zouinkhi, A.; Bajic, E.; Abdelkrim, M. N. A Socio-Inspired Methodology and Model for Advanced and Opportunistic Interactions between Industrial IoT Objects Article de journal Dans: Electronics (Switzerland), vol. 11, no. 8, 2022, ISSN: 20799292, (cited By 6). Résumé | Liens | BibTeX | Étiquettes: @article{Kilani2022, The concept of the Internet of Things (IoT) is widely discussed. IoT is one of the emerging technologies that have caught the attention of many researchers. The increase in the number of exchanges of services between heterogeneous or homogeneous connected objects with the integration of social networking concepts gives rise to the concept of the Social Internet of Things (SIoT). The SIoT concept contributes to the evolution of interactions between industrial objects by improving deterministic mechanisms towards intelligent interactions. The integration of the SIoT concept into the Industrial Internet of Things (IIoT) gives rise to the Social Internet of Industrial Things (SIoIT) and plays an important role in improving system performance in Industry 4.0. In this article, we propose an innovative methodology and a model of socio-inspired interaction between industrial communicating objects inspired by sociological approaches. Thanks to this model, socialized industrial communicating objects form a community of objects, autonomously and dynamically, by exchanging messages to know each other perfectly, and service requests between objects are executed adaptively according to the principles of social interaction governed by socio-inspired strategies and conditions. The model is implemented, tested and validated in a Netlogo multi-agent system simulation environment. © 2022 by the authors. Licensee MDPI, Basel, Switzerland. |
Ibrahim, F.; Boussaid, B.; Abdelkrim, M. N. Fault detection in wheeled mobile robot based Machine Learning Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 4). Résumé | Liens | BibTeX | Étiquettes: Classification of defects; Diagnosis faults; Faults detection; Harsh environment; Learning techniques; Machine-learning; Monitoring and control; Random forests; Support vectors machine; Wheeled mobile robot, Fault detection; Intelligent robots; Learning systems; Recurrent neural networks; Support vector machines, Mobile robots @conference{Ibrahim202258, Robotics gained in importance the attention of researchers nowadays in many fields, in particular monitoring and control. Deployed in harsh environments, Artificial Intelligence has shown a powerful ability to detect and diagnose faults. In this paper, a classification of defects is evaluated using different machines. learning techniques such as Random Forest (RF), Support Vector Machine (SVM), Artificial Neural Network (ANN) and Recurrent Neural network (RNN). A comparative analysis is carried out among the techniques previously mentioned on the basis of detection accuracy (DA), true Positive rate (TPR), Matthews correlation coefficients (MCC) and false alarm rate (FAR). © 2022 IEEE. |
Rhouma, T.; Keller, J. -Y.; Abdelkrim, M. N. A Kalman Filter with Intermittent Observations and Reconstruction of Data Losses Article de journal Dans: International Journal of Applied Mathematics and Computer Science, vol. 32, no. 2, p. 241-253, 2022, ISSN: 1641876X, (cited By 2). Résumé | Liens | BibTeX | Étiquettes: Binary sequences; Covariance matrix; Estimation; Forecasting; Kalman filters; Random errors; Stochastic systems, Data loss; Discrete time linear systems; Error covariance matrix; Filter approach; Intermittent observation; Intermittent unknown input; State prediction errors; Stochastics; Unknown inputs; Unknown-input estimations, Linear systems @article{Rhouma2022241, This paper deals with the problem of joint state and unknown input estimation for stochastic discrete-time linear systems subject to intermittent unknown inputs on measurements. A Kalman filter approach is proposed for state prediction and intermittent unknown input reconstruction. The filter design is based on the minimization of the trace of the state estimation error covariance matrix under the constraint that the state prediction error is decoupled from active unknown inputs corrupting measurements at the current time. When the system is not strongly detectable, a sufficient stochastic stability condition on the mathematical expectation of the random state prediction errors covariance matrix is established in the case where the arrival binary sequences of unknown inputs follow independent random Bernoulli processes. When the intermittent unknown inputs on measurements represent intermittent observations, an illustrative example shows that the proposed filter corresponds to a Kalman filter with intermittent observations having the ability to generate a minimum variance unbiased prediction of measurement losses. © 2022 Taouba Rhouma et al., published by Sciendo. |
Benjemaa, R.; Elhsoumi, A.; Abdelkrim, M. N. Fault tolerant control for neutral systems with delayed inputs Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 1). Résumé | Liens | BibTeX | Étiquettes: Additive control; Delayed input; Design problems; Fault tolerant control; Faults tolerant controls; Neutral systems; Neutral time-delay system; Nominal control; Unknown input observer, Additives; Closed loop systems; Control theory; Delay control systems; Fault detection; Fault tolerance; Linear matrix inequalities; Time delay; Timing circuits, State feedback @conference{Benjemaa2022404, In the present paper, the design problem of fault tolerant control for neutral time delay systems with delayed inputs is studied. The proposed control law is composed into two terms, a nominal control and an additive control. The first term presents the designed state feedback proposed to develop a control strategy which maintains the stability and the desired performance in closed loop system, even in presence of faults. In this case, the Linear Matrix Inequality (LMI) resolution method is applied to determine the feedback gain of the controller. The second one is based on adding an additive fault corrective term to the nominal law. Therefore, the use of unknown inputs observers (UIO) presents an efficient solution for the fault detection and estimation. Finally, the effectiveness of the proposed strategy is proven through a numerical example by the application of the theoretical results to a neutral time delay system with delayed inputs. © 2022 IEEE. |
Bahhar, C.; Baccouche, C.; Sakli, H. Millimeter-Wave Rectenna and Rectifying Circuits for Wireless Power Transfer in 60 GHz Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 1). Résumé | Liens | BibTeX | Étiquettes: Electric rectifiers; Energy harvesting; Energy transfer; Inductive power transmission; Microwave antennas; Millimeter waves; Rectennas; Rectifying circuits; Slot antennas; Timing circuits, Energy; Input power; Millimeter band; Parametric study; Performance; Rectenna; Rectenna systems; Rectifier; RF energy harvesting; Wireless energy transmission, Microstrip antennas @conference{Bahhar20221346, This work offers a 60 GHz antenna-based rectenna in millimeter band. In this paper, we describes the concept of wireless energy transmission that allows the transfer of RF energy from one point to another through open space. A parametric study is carried out to monitor the influence of the input power and the number of floors on the performance of rectenna system. It has been shown that the efficiency can reach 54.6% for a load resistance of 100 Ω and an input power of 15dBm. © 2022 IEEE. |
Azzouz, I.; Boussaid, B.; Zouinkhi, A.; Abdelkrim, M. N. Energy-Aware Cluster Head selection protocol with Balanced Fuzzy C-mean Clustering in WSN Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 1). Résumé | Liens | BibTeX | Étiquettes: Balanced fuzzy; Cluster-head selections; Clusterings; Energy aware; Energy aware clustering; Eu-clidean distance; Fuzzy C-Means clustering; Fuzzy-c means; Ratio-distance; Stable clusters, Clustering algorithms; Energy efficiency; Leaching; MATLAB; Power management (telecommunication); Routing protocols, Sensor nodes @conference{Azzouz20221534, The Energy saving in wireless sensor network has become one of the ascending issue. To manage the remaining energy in nodes and extend the life time of the network, clustering is one of the efficient solution. Structuring homogenous and stable clusters as well as choosing the optimal cluster head is the key of an energy efficient clustering. This paper deals with an Energy Aware Cluster head selection protocol based on balanced Fuzzy c-mean clustering approach. This approach proposes uniform and stable cluster formation using Balanced Fuzzy c-mean algorithm with modified centroid. As for Cluster Head selection, three parameters are considered such as Residual energy of the node, Distance from the Base Station and Distance-Ratio. Simulation results on Matlab of the proposed approach are compared to basic energy efficient approaches such as LEACH, C-LEACH and TSI-LEACH. © 2022 IEEE. |
Abdelbaki, S.; Othman, S. B.; Almalki, F.; Sakli, H. Light deep CNN approach for multi-label pathology classification using frontal chest x-ray Ouvrage wiley, 2022, ISBN: 9781119861850; 9781119861829, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: @book{Abdelbaki2022445, Medical imaging methods identify and record anomalies inside the human body; these techniques are critical for assessing, diagnosing, and treating chest infections and diseases; the thoracic radiography known by chest X-ray is a non-expensive, yet very effective, medical imaging technique. However, a scarcity of competent radiologists might significantly limit the technique’s usefulness. To increase performance and diagnosis accuracy, new technologies such as deep learning must be used to detect aberrant chest X-ray. Recently, machine-learning algorithms based on convolutional layers have made a significant progress. The success of convolutional neural network (CNN) in image classification has led researchers to investigate its usefulness as a diagnosis method for identifying and characterizing pulmonary diseases. We propose to use the modified MobileNet V2 model to classify and predict lung lesions in frontal chest X-rays. In terms of accuracy and area under ROC curve value metrics, the presented study showed that our model outperforms the state-of-the-art CNN techniques. © 2023 The Institute of Electrical and Electronics Engineers, Inc. |
Essid, C.; Abdelhamid, C.; Almalki, F. A.; Ali, O.; Sakli, H. New MIMO Antenna with Filtration for the Future Multiuser Systems in Satellite Communications Article de journal Dans: Wireless Communications and Mobile Computing, vol. 2022, 2022, ISSN: 15308669, (cited By 9). Résumé | Liens | BibTeX | Étiquettes: Metamaterials; Microwave antennas; MIMO systems; Optical resonators; Ring gages; Satellite communication systems, Multiple input multiple output antennas; Multiple-Input Multiple- Output systems; Multiuser system; Performance; Satellite communications; Splitring resonators; Square split-ring resonators; Ultrawide band; Wideband antenna; Wideband characteristics, Ultra-wideband (UWB) @article{Essid2022, This paper emphasizes the function of the split ring resonator (SRR) within the design of ultra-wideband (UWB) antennas. We presented an antenna that belongs to the category of UWB antenna with two rejected bands based on square SRR. At first, we presented a UWB antenna. This antenna is designed to operate in the band 2.3-11.5 GHz. Then, with the integration of two SRR cells, we were capable of filtering the bands 3.7-3.9 GHz and 8.7-8.9 GHz without losing the UWB characteristics outside these rejected bands. Next, to ensure the proper performance of the MIMO system, we studied the use of metamaterials in the design of MIMO (Multiple-Input Multiple-Output) antennas for miniaturization and antenna performance. © 2022 Chaker Essid et al. |
Jouili, A.; Boussaid, B.; Zouinkhi, A.; Abdelkrim, M. N. Fault detection in wheeled mobile robot based on extended kalman filter Conférence 2022, (Cited by: 0). @conference{Jouili2022237, |
Lamouchi, Rihab; Raissi, Tarek; Amairi, Messaoud; Aoun, Mohamed Interval Observers Fault Detection for Linear Parameter Varying Systems with H- Fault Sensitivity Conférence 2022, (Cited by: 1). Résumé | Liens | BibTeX | Étiquettes: Detection methods, Fault detection, Fault sensitivity, Faults detection, Finite difference method, H- fault sensitivity, Interval observers, Linear parameter varying systems, Linear systems, L∞ performance, Sensor fault detection, Sensors faults, ∞performance @conference{Lamouchi2022178b, A fault detection (FD) method for a class of discrete-time Linear Parameter Varying (LPV) systems with sensor faults and measurement noise is proposed in this paper. Then, an interval FD observer is studied using Linfty performance to minimise the uncertainties effects and to improve the estimation accuracy. Furthermore, mathcalH- performance is considered in order to calculate the sensitivity of the residual to sensor faults and a FD decision is set to indicate their presence. The validity of the proposed methodology is demonstrated using a numerical example. © 2022 IEEE. |
Najjar, A.; Dinh, T. N.; Amairi, M.; Raissi, T. Interval observer-based supervision of nonlinear networked control systems Article de journal Dans: Turkish Journal of Electrical Engineering and Computer Sciences, vol. 30, no. 4, p. 1219-1234, 2022, ISSN: 13000632, (cited By 1). Résumé | Liens | BibTeX | Étiquettes: Input-to-state stability; Interval estimation; Interval observers; Nonlinear networked control system; Observer-based; Predictor; Remote supervision; Systems’ class; Time-varying delay; Uncertain large time-varying delay, Networked control systems, Nonlinear analysis; Time delay; Time varying control systems; Time varying networks; Uncertainty analysis @article{Najjar20221219, Networked control system (NCS) is a multidisciplinary area that attracts increasing attention today. In this paper, we deal with remote supervision of a nonlinear networked control systems class subject to network imperfections. Different from many existing researches that consider only the problem of small and/or constant communication delays, we focus on large and time-varying network delays problem in both measurement and control channels. The proposed method is a set-membership estimation-based predictor approach computing a guaranteed set of admissible state values when the uncertainties (i.e. measurement noises and system disturbances) are considered unknown but bounded with a priori known bounds. The state prediction strategy is used to compensate the effect of transmission delays. Finally, the theoretical results are validated through a numerical example. © 2022 Turkiye Klinikleri. All rights reserved. |
Wardi, M. L.; Abdelkrim, R.; Abdelkrim, M. N. Fractional Order CRONE and PID Controllers Design for Nonlinear Systems Based on Multimodel Approach Article de journal Dans: Studies in Systems, Decision and Control, vol. 364, p. 123-142, 2022, ISSN: 21984182, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: @article{Wardi2022123, This chapter deals with the output regulation of nonlinear control systems in order to guarantee desired performances in the presence of plant parameters variations. The proposed control law structures are based on the fractional order PI (FOPI) and the CRONE control schemes. By introducing the multimodel approach in the closed-loop system, the presented design methodology of fractional PID control and the CRONE control guarantees desired transients. Then, the multimodel approach is used to analyze the closed-loop system properties and to get explicit expressions for evaluation of the controller parameters. The tuning of the controller parameters is based on a constrained optimization algorithm. Simulation examples are presented to show the effectiveness of the proposed method. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
Manita, M.; Boussaid, B.; Abdelkrim, M. N. Wheeled Mobile Robot Control Approaches: Comparative Analysis Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Back-step; Backstep-ping; Control approach; Feedback linearisation; Fuzzy-Logic; Lyapunov; Mobile robot control; Nonholonomics; PID; Wheeled mobile robot, Backstepping; Computer circuits; Feedback linearization; Fuzzy logic, Mobile robots @conference{Manita20221913, Robotics has gained the attention of researchers nowadays in the fields, especially control and monitoring. This paper topic concerns comparison between different control laws of Wheeled Mobile Robots (WMR) for linear and circular trajectory tracking. We studied the kinematic and dynamic modeling of this robot, then the control study was carried out by four types of control, such as the classic ‘PID’, the ‘backstepping’ using lyapunov, also ‘Feedback Linearization’ and ‘Fuzzy Logic’, based on the unicycle mobile robot with a nonlinear model. Finally, the comparative study between these methods using Matlab simulink is given. © 2022 IEEE. |
Akremi, R.; Lamouchi, R.; Amairi, M. Functional Interval Observers Design for Multivariable Linear Discrete-time Systems Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 2). Résumé | Liens | BibTeX | Étiquettes: Digital control systems; Discrete time control systems; Numerical methods, Discrete – time systems; Discrete time; Functional interval; Functional interval observer; Interval observers; Linear discrete-time systems; Multi variables; Multi-variables system; Observers designs; Unknown but bounded, Multivariable systems @conference{Akremi2022976, This paper deals with functional interval observers design for discrete-time multivariable systems. Under the as-sumption that disturbances are unknown but bounded, functional interval observers are designed to estimate the system and the functional state. The design conditions of the existence of the proposed interval observer are explicitly mentioned and an effective algorithm for computing the matrices of unknown observers is provided. Finally, numerical example and simulation results are given to illustrate the effectiveness of the proposed method. © 2022 IEEE. |
Akremi, Rihab; Lamouchi, Rihab; Amairi, Messaoud L∞/H∞Functional Interval Observers Design for Multivariable Systems Conférence 2022, (Cited by: 0). @conference{Akremi2022265, |
Souid, A.; Sakli, H. Xception-ResNet Autoencoder for Pneumothorax Segmentation Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781728184425, (cited By 9). Résumé | Liens | BibTeX | Étiquettes: Auto encoders; Chest x-rays; Convolutional neural network; Deep learning; Dice loss; Image segmentation model; Multiple domains; Pneumothorax; Transfer learning; U-net, Convolutional neural networks, Deep neural networks; Diagnosis; Learning systems; Medical imaging; Semantic Segmentation; Semantics; Transfer learning @conference{Souid2022586, Computer vision has made a significant advance in the medical imaging. Pneumothorax is a severe ailment that can be fatal if the patient does not receive proper care. The main way for diagnosing Pneumothorax is by examining the Chest X-ray by a specialist. The urge of experienced radiologists to anticipate whether someone is suffering from pneumothorax or not by examining chest X-rays is indisputable. Such a facility is not available to everyone. Furthermore, in some circumstances, quick diagnosis is required. In this paper We present a deep learning based image segmentation model capable of predicting Pneumothorax cases by localizing it in chest x-ray exam to help the doctor in making this critical choice. Deep Learning has demonstrated its value in multiple domains, outperforming several state-of-the-arts methods. We seek to overcome this challenge by leveraging deep learning capabilities. We used U-Net architecture with Xception as the encoder and ResNet as a decoder. We obtained encouraging findings, and U-Net works exceptionally well in medical imaging. Our work is listed with in as semantic segmentation. With 77.8 (±0.15), our technique obtains a good outcome in terms of Intersection over Union. © 2022 IEEE. |
Mizouri, H.; Lamouchi, R.; Amairi, M. Functional Interval-Observer-Based Fault Detection for Continuous-time Multivariable Linear Systems Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665482615, (cited By 3). Résumé | Liens | BibTeX | Étiquettes: Condition; Continous time; Faults detection; Functional interval; Functional interval observer; Interval observers; Multi-variables system; Multivariable linear systems; Observer-based; Observers designs, Continuous time systems; Linear systems; Multivariable systems; Numerical methods; Signal analysis, Fault detection @conference{Mizouri2022177, This paper deals with the problem of the functional interval observer design for continuous-time multivariable linear system applied to fault detection purpose. First, a set of existance conditions is deduced as well as a simple process to built the Luenberger-like interval observer. Then, by utilizing the interval estimation of residual signals a FD procedure is developed. Finally, the validity and the effectiveness of the suggested method is verified by a numerical example. © 2022 IEEE. |
Farah, Khamsa; Chabir, Karim; Abdelkrim, Mohamed Naceur High-Level Petri Nets-Based Modeling of Network Controlled Systems under Communication Constraints (Network-Induced Delay) Article de journal Dans: Scientific Programming, vol. 2022, 2022, (Cited by: 0; All Open Access, Gold Open Access). @article{Farah2022, |
Bensalem, Yemna; Abbassi, Abelkader; Abbassi, Rabeh; Jerbi, Houssem; Alturki, Mansoor; Albaker, Abdullah; Kouzou, Abdallah; Abdelkrim, M. N. Speed tracking control design of a five-phase PMSM-based electric vehicle: a backstepping active fault-tolerant approach Article de journal Dans: Electrical Engineering, vol. 104, no. 4, p. 2155 – 2171, 2022, (Cited by: 2). @article{Bensalem20222155, |
Yahia, Mohamed; Ali, Tarig; Mortula, Md Maruf Span Statistics and Their Impacts on PolSAR Applications Article de journal Dans: IEEE Geoscience and Remote Sensing Letters, vol. 19, p. 1-5, 2022, ISSN: 1558-0571. Résumé | Liens | BibTeX | Étiquettes: Scattering;Estimation;Entropy;Covariance matrices;Speckle;Eigenvalues and eigenfunctions;Synthetic aperture radar;Equivalent number of look (ENL);synthetic aperture radar polarimetry (PolSAR);span;speckle @article{9290117, The span is widely employed in synthetic aperture radar (SAR) polarimetry (PolSAR) applications. The span is a summation of the three polarimetric intensity channels, its probability density function (pdf) is commonly assumed in the literature as that of the intensity polarimetric channel. In this letter, the statistics of the span are investigated. It has been demonstrated that the span is modeled by $L$ -looks intensity pdf where $L$ is the equivalent number of looks (ENLs) of the span transformation, i.e., ENLspan. To estimate ENLspan, a theoretical model has been proposed. The results showed that ENLspan ranges in [1,3] depending on the media’s scattering property. Results demonstrated also that the use of the eigenvalues produced better estimation of ENLspan than the use of diagonal elements of the coherence or the covariance matrix. The proposed model produced also a more accurate estimation of ENLspan than the one obtained by the direct calculation. Finally, it has been demonstrated that the use of the introduced span statistics gave a correct estimation of the performance of the classification and the filtering PolSAR techniques whereas classical span statistics overestimated them. |
Mhamdi, H.; Othman, S. Ben; Zouinkhi, A.; Sakli, H. Blockchain Technology in Healthcare: Use Cases Study Ouvrage Springer Nature, 2022, ISBN: 9789811681509; 9789811681493, (cited By 4). Résumé | Liens | BibTeX | Étiquettes: @book{Mhamdi2022261, Blockchain technology is now regarded as one of the most interesting and possibly innovative technologies. It enables information to be stored and exchanged securely and transparently without the need for a centralized authority to regulate it. A few of the primary benefits of this technology is the atomicity of the stored data. Given its features, this technology has the potential to give answers to challenges encountered in a very sensitive sector, notably healthcare. The medical field is dealing with several issues that some are attempting to address today. The most important are the administration of medical records and the claims process, the acceleration of clinical and biomedical research, and the advancement of the biomedical and health data registry. The major challenge is the processing and analysis of patient records due to the large amount of data collected. The security of this data is another challenge to consider. Due to the high connectivity, these systems are prone to malicious attacks. In addition, it is difficult to ensure confidentiality due to the exchange of sensitive data. This chapter discusses the use of blockchain technology in healthcare sector. The purpose of this survey was to provide an overview of the features and concepts related to security requirements of blockchain in a healthcare system. It shows that this technology has a major role in terms of security of patient’s medical data. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022. |
2021 |
Yahia, Mohamed; Ali, Tarig; Mortula, Md Maruf; Abdelfattah, Riadh; ElMahdi, Samy On the Use of Span Image in Polsar Speckle Filtering Proceedings Article Dans: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, p. 4019-4022, 2021, ISSN: 2153-7003. Résumé | Liens | BibTeX | Étiquettes: Estimation;Channel estimation;Geoscience and remote sensing;Mean square error methods;Speckle;Information filters;Distortion;Speckle;MMSE filter;PolSAR;span @inproceedings{9554095, The use of the span as a reference image in PolSAR speckle filtering is investigated. It has been demonstrated in this study that span reduced the speckle noise in extended homogeneous areas differently, degraded the spatial details and distorted the filtered intensity image. Then, the impact of span on the filtered PolSAR images is evaluated. The results showed that the drawbacks of the span filtering in terms of speckle filtering, spatial detail and polarimetric information preservation are propagated to the minimum mean square error MMSE-based PolSAR filters. The estimation of the filtering weights from the intensity channels rather than the span resolved these issues. |
Yahia, Mohamed; Ali, Tarig; Mortula, Maruf Polarimetric SAR Image Denoising Using the Improved Immse Filter Proceedings Article Dans: 2020 International Conference on Communications, Signal Processing, and their Applications (ICCSPA), p. 1-4, 2021. Résumé | Liens | BibTeX | Étiquettes: Mean square error methods;Speckle;Signal processing;Information filters;Radar polarimetry;Polarimetry;Synthetic aperture radar;IMMSE filter;Lee Sigma filter;PoISAR;Speckle @inproceedings{9385715, Speckle filtering in synthetic aperture radar polarimetry (PolSAR) images is essential for the extraction of significant information for homogeneous extended targets. Obtaining good compromise between high equivalent number of looks (ENL) and spatial detail preservation remains a challenge. In this paper, the filtering performances are improved by hybridizing the iterative minimum mean square error (IMMSE) filter and the Lee Sigma filter. Real SAR data were used to study the effectiveness of the proposed hybrid scheme. |
Fatnassi, Soumaya; Yahia, Mohamed; Ali, Tarig; Mortula, Md Maruf SAR Speckle Filtering Using Hybrid NonLocal Sigma Filter Proceedings Article Dans: 2021 18th International Multi-Conference on Systems, Signals & Devices (SSD), p. 463-467, 2021, ISSN: 2474-0446. Résumé | Liens | BibTeX | Étiquettes: Filtering;Spaceborne radar;Estimation;Speckle;Radar polarimetry;Synthetic aperture radar;NL filter;MMSE filter;SAR;Sentinel1;Speckle;Sigma filter @inproceedings{9429484, Speckle noise in synthetic aperture radar (SAR) images reduces the accuracy of their interpretation. In this paper, a hybrid filtering technique based on the Sigma filter and the non-local mean filter is proposed. The neighborhood used for the estimation of the filtered pixels is selected by analogy to the non-local filtering principle. Non-similar pixels in the search area having high patch distances were discarded. The coefficient variation CV is employed to estimate the variability of the pixels used to select homogeneous pixels in the search area. Results showed that the proposed hybrid filter outperformed the Lee filter and the improved Sigma filter in terms of speckle reduction and spatial detail preservation. Airborne (AirSAR) and Space-borne (Sentlnel1) synthetic aperture radar SAR data were used for validation). |
Mhamdi, H.; Zouinkhi, A.; Sakli, H. Smart Contracts for Decentralized Vehicle Services Conférence Institute of Electrical and Electronics Engineers Inc., 2021, ISBN: 9781728186160, (cited By 5). Résumé | Liens | BibTeX | Étiquettes: Amount of information; Basic concepts; Block-chain; Decentralised; Decentralized application; Exchange of information; Internet of vehicle; Large amounts; Vehicle service; Vehicle to object communication, Blockchain; Internet of things; Vehicle to vehicle communications; Vehicles, Smart contract @conference{Mhamdi20211846, Internet of Vehicles (IoV), whose basic concepts are like those of the Internet of Things (IoT), refers to (he ability of vehicles to communicate intelligently with each other through the exchange of information. To guarantee (he services offered by IoV, it is necessary to consider the exchange of a large amount of information without human intervention and in a decentralized manner. To overcome these challenges, the use of blockchain technology is required. This technology is supported by the concept of smart contracts and implements the notion of decentralized applications (DApp). Our objective is, then, to design a decentralized application that brings together all the services accessible by vehicles. The user, depending on the type of service, can filter the search result and benefit from the appropriate service. Via this paper, we present the basic concepts to be used in the development of our platform such as blockchain, smart contracts, DApp and their relationship with IoV. We model the communication between the different actors of the system as well as the design of the proposed framework. © 2021 IEEE |
Moussa, N. Ben; Chetoui, M.; Amairi, M. MISO fractional systems identification with fractional models in the EIV context Conférence Institute of Electrical and Electronics Engineers Inc., 2021, ISBN: 9781665414937, (cited By 1). Résumé | Liens | BibTeX | Étiquettes: Errors in variables; Fractional systems; Higherorder statistic (HOS); Instrumental variables; Linear coefficients; Multi-input-single-output systems; Single input single output systems; Unbiased estimates, Higher order statistics, Image segmentation; Monte Carlo methods @conference{BenMoussa2021942, This paper proposes a new multi-input-single-output (MISO) system identification methods with fractional models in the errors-in-variables context. The developed methods are based on the instrumental variables and use the Higher-Order Statistics (HOS), such as the third-order cumulants, to obtain an unbiased estimate. Two different cases are established : The first supposes that the fractional orders of the single input-single-output (SISO) systems decomposing the MISO system are known a priori and only their linear coefficients are estimated. In the second case, the fractional orders are optimized along with linear coefficients. A Monte Carlo simulations are used, in a numerical example, to analyze the consistency of the developed estimators. © 2021 IEEE. |
Publications
2022 |
Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665479820, (cited By 1). |
A Comprehensive Analysis of Wireless Charging Systems for Electric Vehicles Article de journal Dans: IEEE Access, vol. 10, p. 43865-43881, 2022, ISSN: 21693536, (cited By 28). |
Span Statistics and Their Impacts on PolSAR Applications Article de journal Dans: IEEE Geoscience and Remote Sensing Letters, vol. 19, 2022, ISSN: 1545598X, (cited By 4). |
IoT Based Patient Health Monitoring System to Combat COVID-19 Pandemic Conférence 2022, (Cited by: 4; All Open Access, Bronze Open Access). |
Computing the Domain of Attraction using Numerical Techniques Conférence 2022, (Cited by: 0). |
Bias Recursive Least Squares Method for Fractional Order System Identification Conférence 2022, (Cited by: 0). |
Set-Membership Fault Detection for Discrete-time Switched Linear Systems Conférence 2022, (Cited by: 0). |
Comparison between a simple serial and a voltage doubler rectifiers circuits Conférence 2022, (Cited by: 0). |
Rectifier Circuit at 3.5 GHz for 5G Applications Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665482615, (cited By 0). |
Privacy-preserving aware data aggregation for IoT-based healthcare with green computing technologies Article de journal Dans: Computers and Electrical Engineering, vol. 101, 2022, ISSN: 00457906, (cited By 59). |
Robust Fault Detection based on Zonotopic Observers for Linear Parameter Varying Systems Conférence 2022, (Cited by: 1). |
New Finite-Time Observers design for a Discrete-Time Switched Linear System Conférence vol. 55, no. 40, 2022, (Cited by: 0; All Open Access, Bronze Open Access, Green Open Access). |
Constant Phase Based Design of Robust Fractional PI Controller for Uncertain First Order Plus Dead Time Systems Article de journal Dans: Studies in Systems, Decision and Control, vol. 364, p. 159 – 179, 2022, (Cited by: 0). |
On interval observer design for active Fault Tolerant Control of Linear Parameter-Varying systems Article de journal Dans: Systems and Control Letters, vol. 164, 2022, (Cited by: 5). |
System identification of MISO fractional systems: Parameter and differentiation order estimation Article de journal Dans: Automatica, vol. 141, 2022, (Cited by: 10). |
A Bias-Corrected Method for Fractional Linear Parameter Varying Systems Article de journal Dans: Mathematical Problems in Engineering, vol. 2022, 2022, (Cited by: 1; All Open Access, Gold Open Access). |
Interval observer-based methodology for passive fault tolerant control of linear parameter-varying systems Article de journal Dans: Transactions of the Institute of Measurement and Control, vol. 44, no. 5, p. 986 – 999, 2022, (Cited by: 4). |
Identification of Continuous-Time Fractional Models from Noisy Input and Output Signals Article de journal Dans: Studies in Systems, Decision and Control, vol. 364, p. 181 – 216, 2022, (Cited by: 4). |
REAL TIME TUNEABLE ANALOGUE PID CONTROLLER REALIZATION Conférence 2022, (Cited by: 0). |
Socialization of Smart Communicative Objects in Industrial Internet of Things Conférence vol. 55, no. 10, Elsevier B.V., 2022, ISSN: 24058963, (cited By 4). |
2022, (Cited by: 1). |
Fault diagnosis for neutral time delay LPV Descriptor systems Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781728189390, (cited By 2). |
Smart electronic medical record based on blockchain technology to combat Covid-19 pandemic Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 0). |
Energy efficiency approaches in Wireless Sensor Networks Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665482615, (cited By 1). |
A Socio-Inspired Methodology and Model for Advanced and Opportunistic Interactions between Industrial IoT Objects Article de journal Dans: Electronics (Switzerland), vol. 11, no. 8, 2022, ISSN: 20799292, (cited By 6). |
Fault detection in wheeled mobile robot based Machine Learning Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 4). |
A Kalman Filter with Intermittent Observations and Reconstruction of Data Losses Article de journal Dans: International Journal of Applied Mathematics and Computer Science, vol. 32, no. 2, p. 241-253, 2022, ISSN: 1641876X, (cited By 2). |
Fault tolerant control for neutral systems with delayed inputs Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 1). |
Millimeter-Wave Rectenna and Rectifying Circuits for Wireless Power Transfer in 60 GHz Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 1). |
Energy-Aware Cluster Head selection protocol with Balanced Fuzzy C-mean Clustering in WSN Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 1). |
Light deep CNN approach for multi-label pathology classification using frontal chest x-ray Ouvrage wiley, 2022, ISBN: 9781119861850; 9781119861829, (cited By 0). |
New MIMO Antenna with Filtration for the Future Multiuser Systems in Satellite Communications Article de journal Dans: Wireless Communications and Mobile Computing, vol. 2022, 2022, ISSN: 15308669, (cited By 9). |
Fault detection in wheeled mobile robot based on extended kalman filter Conférence 2022, (Cited by: 0). |
Interval Observers Fault Detection for Linear Parameter Varying Systems with H- Fault Sensitivity Conférence 2022, (Cited by: 1). |
Interval observer-based supervision of nonlinear networked control systems Article de journal Dans: Turkish Journal of Electrical Engineering and Computer Sciences, vol. 30, no. 4, p. 1219-1234, 2022, ISSN: 13000632, (cited By 1). |
Fractional Order CRONE and PID Controllers Design for Nonlinear Systems Based on Multimodel Approach Article de journal Dans: Studies in Systems, Decision and Control, vol. 364, p. 123-142, 2022, ISSN: 21984182, (cited By 0). |
Wheeled Mobile Robot Control Approaches: Comparative Analysis Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 0). |
Functional Interval Observers Design for Multivariable Linear Discrete-time Systems Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 2). |
L∞/H∞Functional Interval Observers Design for Multivariable Systems Conférence 2022, (Cited by: 0). |
Xception-ResNet Autoencoder for Pneumothorax Segmentation Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781728184425, (cited By 9). |
Functional Interval-Observer-Based Fault Detection for Continuous-time Multivariable Linear Systems Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665482615, (cited By 3). |
High-Level Petri Nets-Based Modeling of Network Controlled Systems under Communication Constraints (Network-Induced Delay) Article de journal Dans: Scientific Programming, vol. 2022, 2022, (Cited by: 0; All Open Access, Gold Open Access). |
Speed tracking control design of a five-phase PMSM-based electric vehicle: a backstepping active fault-tolerant approach Article de journal Dans: Electrical Engineering, vol. 104, no. 4, p. 2155 – 2171, 2022, (Cited by: 2). |
Span Statistics and Their Impacts on PolSAR Applications Article de journal Dans: IEEE Geoscience and Remote Sensing Letters, vol. 19, p. 1-5, 2022, ISSN: 1558-0571. |
Blockchain Technology in Healthcare: Use Cases Study Ouvrage Springer Nature, 2022, ISBN: 9789811681509; 9789811681493, (cited By 4). |
2021 |
On the Use of Span Image in Polsar Speckle Filtering Proceedings Article Dans: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, p. 4019-4022, 2021, ISSN: 2153-7003. |
Polarimetric SAR Image Denoising Using the Improved Immse Filter Proceedings Article Dans: 2020 International Conference on Communications, Signal Processing, and their Applications (ICCSPA), p. 1-4, 2021. |
SAR Speckle Filtering Using Hybrid NonLocal Sigma Filter Proceedings Article Dans: 2021 18th International Multi-Conference on Systems, Signals & Devices (SSD), p. 463-467, 2021, ISSN: 2474-0446. |
Smart Contracts for Decentralized Vehicle Services Conférence Institute of Electrical and Electronics Engineers Inc., 2021, ISBN: 9781728186160, (cited By 5). |
MISO fractional systems identification with fractional models in the EIV context Conférence Institute of Electrical and Electronics Engineers Inc., 2021, ISBN: 9781665414937, (cited By 1). |