2021 |
Souid, Abdelbaki; Sakli, Nizar; Sakli, Hedi Classification and predictions of lung diseases from chest x‐ rays using mobilenet v2 Article de journal Dans: Applied Sciences (Switzerland), vol. 11, no. 6, 2021, (Cited by: 55; All Open Access, Gold Open Access). @article{Souid2021, |
Sakli, Hedi; Abdelhamid, C.; Essid, C.; Sakli, N. Metamaterial-Based Antenna Performance Enhancement for MIMO System Applications Article de journal Dans: IEEE Access, vol. 9, p. 38546 – 38556, 2021, (Cited by: 39; All Open Access, Gold Open Access). @article{Sakli202138546, |
Baccouch, Chokri; Bahhar, Chayma; Sakli, Hedi; Aguili, Taoufik Adaptive Ku-Band Solar Rectenna for Internet-of-Things- (IoT)-over-Satellite Applications Article de journal Dans: Wireless Communications and Mobile Computing, vol. 2021, 2021, (Cited by: 4; All Open Access, Gold Open Access). @article{Baccouch2021, |
Dadi, Leila; Ethabet, Haifa; Aoun, Mohamed Zonotope based Fault Tolerant Control for Discrete-Time Linear Time-Invariant Systems Conférence 2021, (Cited by: 1). Résumé | Liens | BibTeX | Étiquettes: Actuators, Control problems, Discrete time control systems, Discrete-time linear time-invariant systems, Estimation techniques, Fault tolerance, Faults tolerant controls, H ∞, H∞approach, Interval estimation, Invariance, Linear control systems, Linear time-invariant system, Observers designs, Time invariant systems, Time varying control systems, Zonotopes @conference{Dadi2021144b, This paper considers Faut Tolerant Control (FTC) problem for discrete-time Linear Time-Invariant systems (LTI) affected by faults on actuator. First, zonotope-based interval estimation technique is proposed, which integrate robust observer design with zonotopic analysis. By introducing H∞ performances in the observer design, the designed technique reduce the effects of uncertainties and improve the interval estimation accuracy. Based on the robust designed observer, the interval state estimation can be realized via a zonotopic analysis. Second, a FTC is designed to stabilize the close-loop system subject to actuator faults. The control law design is based on zonotopic technique, guaranteeing closed-loop stability. Simulation results are provided to illustrate the performance of the proposed method. © 2021 IEEE. |
Daghari, Marwa; Essid, Chaker; Sakli, Hedi Muli-UWB Antenna System Design for 5G Wireless Applications with Diversity Article de journal Dans: Wireless Communications and Mobile Computing, vol. 2021, 2021, (Cited by: 5; All Open Access, Gold Open Access). @article{Daghari2021, |
Baccouch, Chokri; Bahhar, Chayma; Sakli, Hèdi; Aguili, Taoufik Design of a compact solar cell meshed antenna for wlan/wimax application Article de journal Dans: Advanced Electromagnetics, vol. 10, no. 1, p. 46 – 51, 2021, (Cited by: 4; All Open Access, Gold Open Access). @article{Baccouch202146, |
Chouiref, Houda; Boussaid, Boumedyen; Abdelkrim, Mohamed Naceur; Puig, Vicenç; Aubrun, Christophe Integrated FDI/FTC approach for wind turbines using a LPV interval predictor subspace approach and virtual sensors/actuators Article de journal Dans: Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, vol. 235, no. 6, p. 1527 – 1543, 2021, (Cited by: 2; All Open Access, Green Open Access). @article{Chouiref20211527, |
Darghouthi, Amina; Khlifi, Abdelhakim; Chibani, Belgacem Performance Analysis of 5G Waveforms over Fading Environments Conférence 2021, (Cited by: 3). @conference{Darghouthi20212182, |
Hezzi, Abir; Abdelkrim, Mohamed Naceur; Elghali, Seifeddine Ben Robust Active Fault Tolerant Control for Five-Phase PMSM against Speed Sensor Failures Conférence 2021, (Cited by: 4). @conference{Hezzi2021575, |
Gasmi, Noussaiba; Boutayeb, Mohamed; Thabet, Assem; Frej, Ghazi Bel Haj; Aoun, Mohamed Robust control of a class of nonlinear discrete-time systems: Design and experimental results on a real-time emulator Article de journal Dans: Actuators, vol. 10, no. 11, 2021, (Cited by: 1; All Open Access, Gold Open Access). Résumé | Liens | BibTeX | Étiquettes: @article{Gasmi2021b, The aim of this study is to develop a new observer-based stabilization strategy for a class of Lipschitz uncertain systems. This new strategy improves the performances of existing methods and ensures better convergence conditions. Sliding window approach involves previous estimated states and measurements in the observer and the control law structures which increase the number of decision variables in the constraint to be solved and offers less restrictive Linear Matrix Inequality (LMI) conditions. The established sufficient stability conditions are in the form of Bilinear Matrix Inequality (BMI) which is solved in two steps. First, by using a slack variable technique and an appropriate reformulation of the Young’s inequality. Second, by introducing a useful approach to transform the obtained constraint to a more suitable one easily tractable by standard software algorithms. A comparison with the standard case is provided to show the superiority of the proposed H∞ observer-based controller which offers greater degree of freedom. The accuracy and the potential of the proposed process are shown through real time implementation of the one-link flexible joint robot to ARDUINO UNO R3 device and numerical comparison with some existing results. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. |
2020 |
Yahia, Mohamed; Ali, Tarig; Mortula, Maruf; Abdelfattah, Riadh; Elmahdy, Samy Infinite Number of Looks Prediction in Polsar Filtering by Linear Regression Proceedings Article Dans: IGARSS 2020 – 2020 IEEE International Geoscience and Remote Sensing Symposium, p. 1327-1330, 2020, ISSN: 2153-7003. Résumé | Liens | BibTeX | Étiquettes: Speckle;Synthetic aperture radar;Reactive power;Covariance matrices;Filtering algorithms;Linear regression;Remote sensing;Linear regression;MMSE filter;prediction;PoISAR;speckle filtering @inproceedings{9323632, In this paper, the application of the synthetic aperture radar (SAR) infinite number of looks prediction (INLP) filter is extended to polarimetric SAR (PoISAR) speckle filtering. The scalar linear regression rule has been adapted to PolSAR context in order to preserve the polarimetric information. Experimental results using simulated and airborne PolSAR data show that the proposed approach improved the polarimetric filtering criteria. |
Yahia, Mohamed; Mortula, Md Maruf; Awwad, Ameen; Albasha, Lutfi; Ali, Tarig Ultrasound Water Leakage Image Denoising By The Iterative Mmse Filter Abstract Proceedings Article Dans: 2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), p. 1-5, 2020, ISSN: 2687-878X. Résumé | Liens | BibTeX | Étiquettes: Ultrasonic imaging;Speckle;Reactive power;Plastics;Signal to noise ratio;Image edge detection;Visualization;Ultrasound images;speckle;water leakage;IMMSE filter @inproceedings{9231848, Ultrasound imaging finds many applications in water environments. The water leakage milieu is considered in this study. However, the ultrasound images are contaminated by speckle noise which damages its quality. It complicates diagnosis and quantitative and visual measurements. In this work, the iterative minimum mean square error (IMMSE) method has been extended for de-speckling of ultrasound images. Therefore, by optimally setting the number of iterations, the IMMSE filtering approach outperforms traditional speckle filtering methods such as the mean, median and the improved Lee filters in speckle removal and edge preservation. |
Yahia, Mohamed; Ali, Tarig; Mortula, Md Maruf Speckle Denoising of the Multipolarization Images by Hybrid Filters Proceedings Article Dans: 2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), p. 1-6, 2020, ISSN: 2687-878X. Résumé | Liens | BibTeX | Étiquettes: refined sigma filter, Speckle;Optical filters;Reactive power;Synthetic aperture radar;Eigenvalues and eigenfunctions;Covariance matrices;Radar polarimetry;speckle filtering;SAR;boxcar filter;INLP filter @inproceedings{9231773, Speckle reduction in synthetic aperture radar (SAR) images and SAR polarimetry (PolSAR) is important for the extraction of important information for homogeneous extended areas. Finding good balance between spatial detail preservation and high equivalent number of looks is a challenge. In this paper, we validate the use of the infinite number of looks filter (INLP) method for the denoising of the multipolarization channels (i. e. hh, hv and vv) by representing their analogy with the eigenvalues of the coherency matrix. The denoised pixels obtained by a traditional filtering method served as inputs for the INLP method. Results demonstrated that the proposed method outperformed traditional filters i. e. boxcar and the refined sigma filter in terms of spatial detail preserving and speckle reduction. |
Lahmar, Ines; Zaier, Aida; Yahia, Mohamed; Bouallegue, Ridha A New Self Adaptive Fuzzy Unsupervised Clustering Ensemble Based On Spectral Clustering Proceedings Article Dans: 2020 17th International Multi-Conference on Systems, Signals & Devices (SSD), p. 1-5, 2020, ISSN: 2474-0446. Résumé | Liens | BibTeX | Étiquettes: Performance evaluation;Adaptive systems;Clustering algorithms;Forestry;Feature extraction;Indexes;Feature Selection;Ensemble Clustering;Fuzzy system;Cluster validity;density;Spectral Clustering @inproceedings{9364223, Nowadays, the goal of ensemble clustering approach, including the heterogeneity and huge number of variables, is to get the underlying structure based on the clustering quality results. In this context, we improve cluster ensemble approach based on cluster forest using Self-Adaptive Fuzzy C-Means (SAFCM) method to determine a good local base clustering. This proposed approach consists of two stages. To begin, unsupervised feature selection method is designed on the constructed of better variables on simulated data under the kappa metric. Next, we ameliorate the spectral clustering algorithm applied to find final grouping. Then, the SAFCM is used to obtain also the best number of K clusters and the optimal fuzzy exponent. This algorithm consists of three key steps: initially, a new algorithm is run which aims to get the best initial centroids values based on fuzzy density factor and distance. Next, new fuzzy cluster validity index (VI) is applied to evaluate the accurate number of the selected clusters. Finally, self adaptive FCM for the optimal value of Fuzzy weighting exponent m was proposed. To validate the effectiveness of the proposed clustering approach, we use eight datasets. Fur then, the performance of our system will be compared with several methods. |
Bouziri, Adel; Elghoul, Aymen; Tellili, Adel; Abdelkrim, Mohamed Naceur Fault Tolerant Control for Uncertain Nonlinear System Against additive and multiplicative Actuator Faults Proceedings Article Dans: 2020 17th International Multi-Conference on Systems, Signals & Devices (SSD), p. 308-312, 2020, ISSN: 2474-0446. Résumé | Liens | BibTeX | Étiquettes: Performance evaluation;Actuators;Uncertainty;Additives;Fault tolerant systems;Fault tolerant control;Nonlinear systems;Non linear system;uncertain system;Backstepping control;Combined actuator faults @inproceedings{9364221, In this paper, a fault-tolerant control, based on backstepping theory is applied for an uncertain non-linear system with the presence of combined actuator faults (additive and loss of efficiency). This control will be applied to an Inverted-Pendulum System with parametric uncertainties, in order to see its performances with regard to uncertainties and in the presence of defects. |
Yahia, Mohamed; Ali, Tarig; Mortula, Md. Maruf; Mahdi, Samy El; Arampola, Nuwanthi Sashipraba Multitemporal Sar Image Despeckling Based on Immse Filtering Proceedings Article Dans: 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS), p. 113-116, 2020. Résumé | Liens | BibTeX | Étiquettes: Filtering;Time series analysis;Geoscience and remote sensing;Mean square error methods;Radar polarimetry;Iterative methods;IMMSE filter;Multitemporal SAR;speckle @inproceedings{9105150, Most multitemporal filtering techniques assume that pixels remain unchanged over the time so that all the pixels at the same position in the time series are averaged. However, this assumption is not suitable in a long-period time series. To overcome this problem, a novel approach for temporal filtering of SAR image time series by applying the iterative minimum mean square error (IMMSE) approach is proposed. Real and simulated time series data sets were tested. Results showed that the IMMSE preserved the temporal unchanged areas filtered and enhanced the blurred temporal changed details. |
Bougatef, Zina; Abdelkrim, Nouceyba; Aitouche, Abdel; Abdelkrim, Mohamed Naceur Sensor Fault Detection and Estimation Based on UIO for LPV Time Delay Systems Using Descriptor Approach Chapitre d’ouvrage Dans: Derbel, Nabil; Ghommam, Jawhar; Zhu, Quanmin (Ed.): Diagnosis, Fault Detection & Tolerant Control, p. 55–69, Springer Singapore, Singapore, 2020, ISBN: 978-981-15-1746-4. Résumé | Liens | BibTeX | Étiquettes: @inbook{Bougatef2020, This work investigates fault detection of linear parameter-varying (LPV) systems with varying time delay. An unknown input observer (UIO) is designed here to estimate faults and to generate residuals. Based on the descriptor approach, we elaborate an augmented system which considers faults as auxiliary. Only sensor faults are considered in this work and then estimated and detected using a delayed observer. The convergence of the observer is analyzed in terms of Lyapunov quadratic stability by generating linear matrix inequalities (LMIs). The work closes by applying the proposed approach to a delayed truck–trailer system with sensor faults. |
Chairet, Radhia; Salem, Yassine Ben; Aoun, Mohamed Land cover classification of GeoEye image based on Convolutional Neural Networks Proceedings Article Dans: p. 458-461, 2020. @inproceedings{inproceedingsf, |
Chekir, Nihel; Salem, Yassine Ben What is the relationship between the coronavirus crisis and air pollution in Tunisia? Article de journal Dans: Euro-Mediterranean Journal for Environmental Integration, vol. 6, 2020. @article{articled, |
Salem, Yassine Ben; Naceur, Abdelkrim Mohamed Texture classification of fabric defects using machine learning Article de journal Dans: International Journal of Electrical and Computer Engineering (IJECE), vol. 10, p. 4390, 2020. @article{articlee, |
Rahali, Rim; Salem, Yassine Ben; Dridi, Noura; Dahman, H Drosophila image Segmentation using Marker Controlled Watershed Proceedings Article Dans: p. 191-195, 2020. @inproceedings{inproceedingsg, |
Frej, Ghazi Bel Haj; Malti, Rachid; Aoun, Mohamed; Raïssi, Tarek Fractional interval observers and initialization of fractional systems Article de journal Dans: Communications in Nonlinear Science and Numerical Simulation, vol. 82, 2020, (Cited by: 6; All Open Access, Bronze Open Access, Green Open Access). Résumé | Liens | BibTeX | Étiquettes: Additive noise; Numerical methods; A-stable; Estimation errors; Fractional systems; Free response; Initialization; Interval observers; Non negatives; Pseudo state; Linear systems @article{BelHajFrej2020, In this paper an interval observer is synthesized for fractional linear systems with additive noise and disturbances. The contribution of system whole past to future output is taken into account as an initialization function. Provided the initialization function is upper and lower bounded, it is shown in this paper that the fractional interval observer (FIO) allows to bound pseudo-state free responses by an upper and a lower trajectory. In case interval observers cannot be synthesized straightforwardly, so as to obtain a stable and non-negative estimation error, it is shown that a change of coordinates allows to overcome this problem. The proposed methodology allows to bound fractional systems trajectories when the whole past is unknown but can be bounded. Finally, a numerical example is given to show the effectiveness of the proposed methods on the initialization of fractional linear systems. © 2019 Elsevier B.V. |
Ethabet, Haifa; Raissi, Tarek; Amairi, Messaoud; Aoun, Mohamed Fault Detection and Isolation for Continuous-Time Switched Linear Systems: A Set Membership Approach Conférence 2020, (Cited by: 1). Résumé | Liens | BibTeX | Étiquettes: @conference{Ethabet2020279, In this paper, the problem of Fault Detection and Isolation (FDI) is investigated for continuous-Time switched linear systems via a set-membership approach. Under the fulfillment of the relative degree property by all the subsystems, the proposed solution is based on the use of a bank of interval unknown input observers. Under the assumption that disturbances and measurement noise are unknown but bounded with a priori known bounds, cooperativity and stability conditions are given in terms of Linear Matrix Inequalities (LMIs) with the fulfillment of an Average Dwell Time (ADT) constraints. Then, upper and lower residuals are computed. A numerical example illustrating the validity of the method in fault detection and isolation is given. © 2020 IEEE. |
Frej, Ghazi Bel Haj; Malti, Rachid; Aoun, Mohamed; Raïssi, Tarek Fractional interval observers and initialization of fractional systems Article de journal Dans: Communications in Nonlinear Science and Numerical Simulation, vol. 82, 2020, (Cited by: 6; All Open Access, Bronze Open Access, Green Open Access). Résumé | Liens | BibTeX | Étiquettes: A-stable, Additive noise, Estimation errors, Fractional systems, Free response, Initialization, Interval observers, Linear systems, Non negatives, Numerical methods, Pseudo state @article{BelHajFrej2020c, In this paper an interval observer is synthesized for fractional linear systems with additive noise and disturbances. The contribution of system whole past to future output is taken into account as an initialization function. Provided the initialization function is upper and lower bounded, it is shown in this paper that the fractional interval observer (FIO) allows to bound pseudo-state free responses by an upper and a lower trajectory. In case interval observers cannot be synthesized straightforwardly, so as to obtain a stable and non-negative estimation error, it is shown that a change of coordinates allows to overcome this problem. The proposed methodology allows to bound fractional systems trajectories when the whole past is unknown but can be bounded. Finally, a numerical example is given to show the effectiveness of the proposed methods on the initialization of fractional linear systems. © 2019 Elsevier B.V. |
Tellili, A; Abdelkrim, N; Challouf, A; Elghoul, A; Abdelkrim, MN Fault-Tolerant Control of Two-Time-Scale Systems Book Section Dans: Diagnosis, Fault Detection & Tolerant Control, p. 235–264, Springer, 2020. BibTeX | Étiquettes: @incollection{tellili2020fault, |
Atitallah, Halima; Aribi, Asma; Mohamed, Aoun Diagnosis of time-delay fractional systems using observer-based methods Article de journal Dans: International Journal of Dynamical Systems and Differential Equations, vol. 10, p. 128, 2020. @article{Atitallah2020, |
Mizouri, W; Najar, S; Bouabdallah, L; Aoun, M Dynamic Modeling of a Quadrotor UAV Prototype Chapitre d’ouvrage Dans: Ghommam, Jawhar; Derbel, Nabil; Zhu, Quanmin (Ed.): New Trends in Robot Control, p. 281–299, Springer Singapore, Singapore, 2020, ISBN: 978-981-15-1819-5. Résumé | Liens | BibTeX | Étiquettes: @inbook{Mizouri2020, Quadrotor UAV is a highly coupled and under-actuated system. Estimation of the dynamic model is an important step for the quadrotor control design. In this chapter, two modelling methods are proposed to determine the dynamic model of a quadrotor prototype. Firstly a mathematical model is developed to describe the quadrotor 6 degrees of freedom using Euler–Lagrange formalism. The unknown model parameters are then obtained using calculations and experimental tests. In the second method the roll system is estimated using closed loop identification method and frequency domain analysis. The simulation results are compared with practical responses. Both of the two methods shows good performances. |
Mayoufi, Abir; Victor, Stéphane; Malti, Rachid; Chetoui, Manel; Aoun, Mohamed vol. 53, 2020, (Cited by: 1; All Open Access, Bronze Open Access, Green Open Access). Résumé | Liens | BibTeX | Étiquettes: Continuous time systems, Continuous-time, Fractional model, Fractional model identification, Instrumental variables, Monte Carlo methods, Multiple input single outputs, Order estimation, Refined instrumental variables, Single input single output @conference{Mayoufi20203701, This paper proposes an instrumental variable approach for continuous-time system identification using fractional models with multiple input single output context. This work is an extension of the simplified refined instrumental variable approach (srivcf) developed for single input-single output fractional model identification (Malti et al. (2008a); Victor et al. (2013)) to the multiple input-single output case. Monte Carlo simulation analysis is used to demonstrate the performance of the proposed approach. A study is then provided to motivate differentiation order estimation, and more specifically, commensurate order estimation. Copyright © 2020 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0) |
Dkhil, Asma; Chetoui, Manel; Amairi, Messaoud Optimization-based design of fractional PI controller for a three phase grid connected PV system Conférence 2020, (Cited by: 1). @conference{Dkhil2020440, |
Gasmi, Noussaiba; Boutayeb, Mohamed; Thabet, Assem; Aoun, Mohamed; Frej, Ghazi Bel Haj Robust sliding window observer-based controller design for Lipschitz discrete-time systems Conférence vol. 53, no. 2, 2020, (Cited by: 1; All Open Access, Bronze Open Access). Résumé | Liens | BibTeX | Étiquettes: Controllers, Digital control systems, Discrete – time systems, Discrete time control systems, H ∞ criterion, Lipschitz, Lipschitz non-linearity, Observer-based, Observer-based controllers, Observer-based stabilization design, Performance, Sliding Window, Sliding window approach, Stabilization, Uncertain systems @conference{Gasmi20205970, The aim of this paper is to develop a new observer-based stabilization strategy for a class of Lipschitz uncertain systems. This new strategy improves the performances of existing methods and ensures better convergence conditions. The observer and the controller are enriched with sliding windows of measurements and estimated states, respectively. This technique allows to increase the number of decision variables and thus get less restrictive and more general LMI conditions. The established sufficient stability conditions are in the form of Bilinear Matrix Inequality (BMI). The obtained constraint is transformed, through a useful approach, to a more suitable one easily tractable by standard software algorithms. Numerical example is given to illustrate the performances of the proposed approach. Copyright © 2020 The Authors. This is an open access article under the CC BY-NC-ND license |
Najjar, Afef; Amairi, Messaoud Output-feedback Controller Design for Networked Control Systems Subject to Transmission Delays Conférence 2020, (Cited by: 0). @conference{Najjar2020857, |
Mizouri, W.; Najar, S.; Bouabdallah, L.; Aoun, M. Dynamic Modeling of a Quadrotor UAV Prototype Article de journal Dans: Studies in Systems, Decision and Control, vol. 270, p. 281 – 299, 2020, (Cited by: 4). Résumé | Liens | BibTeX | Étiquettes: @article{Mizouri2020281, Quadrotor UAV is a highly coupled and under-actuated system. Estimation of the dynamic model is an important step for the quadrotor control design. In this chapter, two modelling methods are proposed to determine the dynamic model of a quadrotor prototype. Firstly a mathematical model is developed to describe the quadrotor 6 degrees of freedom using Euler–Lagrange formalism. The unknown model parameters are then obtained using calculations and experimental tests. In the second method the roll system is estimated using closed loop identification method and frequency domain analysis. The simulation results are compared with practical responses. Both of the two methods shows good performances. © Springer Nature Singapore Pte Ltd. 2020. |
Najjar, Afef; Amairi, Messaoud 2020, (Cited by: 0). @conference{Najjar202071, |
Ethabet, H.; Raïssi, T.; Amairi, M.; Combastel, C.; Aoun, M. Interval observer design for continuous-time switched systems under known switching and unknown inputs Article de journal Dans: International Journal of Control, vol. 93, no. 5, p. 1088 – 1101, 2020, (Cited by: 12). Résumé | Liens | BibTeX | Étiquettes: @article{Ethabet20201088, This paper deals with unknown input estimation for switched linear systems in an unknown but bounded error (UBBE) framework. Based on a known switching signal and under the fulfilment of the relative degree property by all the subsystems, a decoupling method is used to make the state partially affected by the unknown input. Assuming that the disturbances and the measurement noises are unknown but bounded with a priori known bounds, lower and upper bounds of the unmeasured state and unknown input are then computed. A numerical example illustrates the efficiency of the proposed methodology. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group. |
Yahia, Mohamed; Ali, Tarig; Mortula, Md. Maruf; Abdelfattah, Riadh; Mahdy, Samy El Polarimetric SAR Speckle Reduction by Hybrid Iterative Filtering Article de journal Dans: IEEE Access, vol. 8, p. 89603-89616, 2020, ISSN: 2169-3536. Résumé | Liens | BibTeX | Étiquettes: Information filters;Speckle;Synthetic aperture radar;Covariance matrices;Microsoft Windows;Iterative filter;polarimetric SAR;speckle @article{9091157, Speckle filtering in synthetic aperture radar polarimetry (PolSAR) is essential for the extraction of significant information. In this study, the authors introduced a hybrid iterative filtering scheme. The proposed iterative filter is initialized by a polarimetric filter ensuring a high speckle reduction level. Then, to enhance the spatial details, the iterative filter is applied for few iterations. The key parameter bk which traduced the variability of the pixels has been studied. An expression that takes into account the following important numerical considerations is proposed. 1) The variability of the pixel is measured by coefficient variation (CV) rather than the variance. 2) The statistics are computed using non-local neighborhood instead of local square one. 3) A new normalizing function (i. e. hyperbolic tangent) is implemented. 4) The dynamic of range of bk is increased by multiplying the CVs of the filtered and the originals images. Comparison with various state of the art PolSAR filters demonstrated the effectiveness of the proposed iterative method. Simulated, one-look and multilook real PolSAR data were used for validation. |
Yahia, Mohamed; Ali, Tarig; Mortula, Mohammad Maruf; Abdelfattah, Riadh; Mahdy, Samy El; Arampola, Nuwanthi Sashipraba Enhancement of SAR Speckle Denoising Using the Improved Iterative Filter Article de journal Dans: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, p. 859-871, 2020, ISSN: 2151-1535. Résumé | Liens | BibTeX | Étiquettes: Speckle;Synthetic aperture radar;Optical filters;Information filters;Filtering algorithms;Iterative minimum mean square error (IMMSE) filter;nonlocal means filter;synthetic aperture radar (SAR);speckle @article{9007383, The recent advancement in synthetic aperture radar (SAR) technology has enabled high-resolution imaging capability that calls for efficient speckle filtering algorithms to preprocess radar imagery. Since the introduction of the Lee sigma filter in 1980, the various versions of the minimum mean square error (MMSE) filter were developed, focusing essentially on how to estimate the processed pixels. For instance, the iterative MMSE (IMMSE) filter that is commonly initialized by the boxcar filter maintains the initially filtered homogeneous areas and corrects the initially blurred spatial details after a few iterations. In this article, an effort is made to enhance the performance of the IMMSE filter in terms of speckle reduction and spatial detail preservation by refining the choice of the initial filter, optimizing its parameters, and improving the estimation of local statistics. Compared with the basic version, results showed that the improved iterative filter considerably enhanced the filtering criteria. When the improved iterative filtering process was initialized by the nonlocal mean filter, for few iterations, the filtering performances were improved. Simulated, airborne (ESAR, Oberpfaffenhofen Germany) and spaceborne (Sentinel 1, Palm Jumeirah Dubai UAE) SAR data were used to assess the filtering performances of the studied filters. |
Atitallah, Halima; Aribi, Asma; Aoun, Mohamed Diagnosis of time-delay fractional systems using observer-based methods Article de journal Dans: International Journal of Dynamical Systems and Differential Equations, vol. 10, no. 2, p. 128 – 148, 2020, (Cited by: 2). Résumé | Liens | BibTeX | Étiquettes: Convergence conditions, Diagnosis, Fault detection, Fault detection and isolation, Fault isolation, Fractional systems, Luenberger observers, Residual sensitivities, Structured residuals, Time delay, Timing circuits, Unknown input observer @article{Atitallah2020128, In this paper, two model-based methods are considered for the diagnosis of time-delay fractional systems. Time-delay fractional Luenberger observer without unknown input and time-delay fractional unknown input observer are developed and used for fault detection and isolation. A single observer scheme is needed for fault detection and a bank of generalized (respectively dedicated) observers is required for fault isolation. A theoretical study investigating the convergence condition for each observer-based method in terms of matrix inequalities is presented. Residual sensitivities to faults and to disturbances are studied. Time-delay fractional unknown input observer parameters are computed to obtain structured residuals. This observer ensures unknown input decoupling from the state which results residual insensitive to unknown inputs. Two numerical examples to validate the efficiency of the proposed approaches are given. Copyright © 2020 Inderscience Enterprises Ltd. |
Mayoufi, Abir; Chetoui, Manel; Victor, Stephans; Aoun, Mohamed; Malti, Rachid A comparison between two methods for MISO fractional models estimation Conférence 2020, (Cited by: 0). Résumé | Liens | BibTeX | Étiquettes: Comparative studies, Fractional model, Fractional order, Instrumental variables, Linear coefficients, Monte Carlo methods, Multiple input single output systems, Numerical methods, Output errors @conference{Mayoufi2020446, This paper proposes two new methods for multiple input-single output system identification with fractional models: The instrumental variable based method and the output-error based method. The fractional orders are supposed known and the linear coefficients are estimated. A comparative study between the developed methods is illustrated via a numerical example. Monte Carlo simulations are used to demonstrate the efficiency of the two methods. © 2020 IEEE. |
Chairet, Radhia; Salem, Yassine Ben; Aoun, Mohamed Land cover classification of GeoEye image based on Convolutional Neural Networks Conférence 2020, (Cited by: 2). Résumé | Liens | BibTeX | Étiquettes: Classification algorithm, Convolution, Convolutional neural networks, Decision trees, Deep neural networks, Ecosystem management, Environmental projects, Image classification, Land cover classification, Land cover mapping, Mapping, Overall accuracies, Pixel based classifications, Random forest classifier, Remote sensing @conference{Chairet2020458, Land cover classification is an important topic in remote sensing. It provides useful information for environmental projects and ecosystem management. To succeed the mapping task, interest should be given to select a suitable classification algorithm. The recent advances in machine learning have shown the very great performances of the deep neural networks for many applications including the land cover mapping. The purpose of this work is to exploit the performance of Convolutional Neural Networks CNN to classify a GeoEye satellite image. Two CNN models with three and four convolution layers are tested to show the impact of the number of layers on the accuracy result. The two architectures outperform, with an overall accuracy more than 81%, the pixel based classification using Random Forest classifier. © 2020 IEEE. |
Abdelkrim, Rihab; Wardi, Mohamed Lazhar; Gassara, Hamdi; Chaabane, Mohamed; Abdelkrim, Mohamed Naceur Relaxed Stabilization Conditions for Time Delayed Takagi-Sugeno Systems Conférence 2020, (Cited by: 0). @conference{Abdelkrim2020578, |
Chouikhi, Linda; Essid, Chaker; Sakli, Hedi Gain Enhancement of Monopole Antenna Using Partially Reflective Surface for 5G Application Conférence 2020, (Cited by: 2). @conference{Chouikhi2020301, |
Marwa, Chandoul; Othman, Soufiene Ben; Sakli, Hedi IoT Based Low-cost Weather Station and Monitoring System for Smart Agriculture Conférence 2020, (Cited by: 18). @conference{Marwa2020349, |
Daghari, Marwa; Abdelhamid, Chafai; Sakli, Hedi; Nafkha, Kamel High isolation with neutralization technique for 5g-mimo elliptical multi-antennas Article de journal Dans: Smart Innovation, Systems and Technologies, vol. 147, p. 124 – 133, 2020, (Cited by: 2). @article{Daghari2020124, |
Jouili, A.; Boussaid, B.; Zouinkhi, A.; Abdelkrim, M. N. Finite time consensus for multi-tricycle systems under graph theory Conférence 2020, (Cited by: 0). @conference{Jouili202024, |
Fitouri, Manel; Bensalem, Yemna; Abdelkrim, Mohamed Naceur Influence of Design Variables on the Performance of Permanent Magnet Synchronous Motor with Demagnetization Fault Article de journal Dans: Studies in Systems, Decision and Control, vol. 269, p. 191 – 210, 2020, (Cited by: 0). @article{Fitouri2020191, |
Soltani, Hadil; Aitouche, Abdel; Harabi, Rafika El; Naoui, Saloua Bel Hadj Ali; Abdelkrim, Mohamed Naceur Observer-based fault-Tolerant control for time delay system Conférence 2020, (Cited by: 1). @conference{Soltani2020313, |
Leila, Ennaceur; Othman, Soufiene Ben; Sakli, Hedi An Internet of Robotic Things System for combating coronavirus disease pandemic(COVID-19) Conférence 2020, (Cited by: 9; All Open Access, Bronze Open Access). @conference{Leila2020333, |
Daghari, Marwa; Sakli, Hedi Radiation performance enhancement of an ultra wide band antenna using metamaterial band-pass filter Article de journal Dans: International Journal of Electrical and Computer Engineering, vol. 10, no. 6, p. 5861 – 5870, 2020, (Cited by: 8; All Open Access, Gold Open Access, Green Open Access). @article{Daghari20205861, |
Hezzi, Abir; Bensalem, Yemna; Zerrougui, Mohamed; Elghali, Seifeddine Ben; Abdelkrim, Mohamed Naceur Sensorless Control Strategy for Five-Phase PMSM based on UIO for Linear Parameter Varying System Conférence 2020, (Cited by: 3). @conference{Hezzi2020991, |
Najeh, Houda; Singh, Mahendra Pratap; Ploix, Stéphane; Chabir, Karim; Abdelkrim, Mohamed Naceur Automatic thresholding for sensor data gap detection using statistical approach Article de journal Dans: Smart Innovation, Systems and Technologies, vol. 163, p. 455 – 467, 2020, (Cited by: 3). @article{Najeh2020455, |
Publications
2021 |
Classification and predictions of lung diseases from chest x‐ rays using mobilenet v2 Article de journal Dans: Applied Sciences (Switzerland), vol. 11, no. 6, 2021, (Cited by: 55; All Open Access, Gold Open Access). |
Metamaterial-Based Antenna Performance Enhancement for MIMO System Applications Article de journal Dans: IEEE Access, vol. 9, p. 38546 – 38556, 2021, (Cited by: 39; All Open Access, Gold Open Access). |
Adaptive Ku-Band Solar Rectenna for Internet-of-Things- (IoT)-over-Satellite Applications Article de journal Dans: Wireless Communications and Mobile Computing, vol. 2021, 2021, (Cited by: 4; All Open Access, Gold Open Access). |
Zonotope based Fault Tolerant Control for Discrete-Time Linear Time-Invariant Systems Conférence 2021, (Cited by: 1). |
Muli-UWB Antenna System Design for 5G Wireless Applications with Diversity Article de journal Dans: Wireless Communications and Mobile Computing, vol. 2021, 2021, (Cited by: 5; All Open Access, Gold Open Access). |
Design of a compact solar cell meshed antenna for wlan/wimax application Article de journal Dans: Advanced Electromagnetics, vol. 10, no. 1, p. 46 – 51, 2021, (Cited by: 4; All Open Access, Gold Open Access). |
Integrated FDI/FTC approach for wind turbines using a LPV interval predictor subspace approach and virtual sensors/actuators Article de journal Dans: Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, vol. 235, no. 6, p. 1527 – 1543, 2021, (Cited by: 2; All Open Access, Green Open Access). |
Performance Analysis of 5G Waveforms over Fading Environments Conférence 2021, (Cited by: 3). |
Robust Active Fault Tolerant Control for Five-Phase PMSM against Speed Sensor Failures Conférence 2021, (Cited by: 4). |
Robust control of a class of nonlinear discrete-time systems: Design and experimental results on a real-time emulator Article de journal Dans: Actuators, vol. 10, no. 11, 2021, (Cited by: 1; All Open Access, Gold Open Access). |
2020 |
Infinite Number of Looks Prediction in Polsar Filtering by Linear Regression Proceedings Article Dans: IGARSS 2020 – 2020 IEEE International Geoscience and Remote Sensing Symposium, p. 1327-1330, 2020, ISSN: 2153-7003. |
Ultrasound Water Leakage Image Denoising By The Iterative Mmse Filter Abstract Proceedings Article Dans: 2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), p. 1-5, 2020, ISSN: 2687-878X. |
Speckle Denoising of the Multipolarization Images by Hybrid Filters Proceedings Article Dans: 2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), p. 1-6, 2020, ISSN: 2687-878X. |
A New Self Adaptive Fuzzy Unsupervised Clustering Ensemble Based On Spectral Clustering Proceedings Article Dans: 2020 17th International Multi-Conference on Systems, Signals & Devices (SSD), p. 1-5, 2020, ISSN: 2474-0446. |
Fault Tolerant Control for Uncertain Nonlinear System Against additive and multiplicative Actuator Faults Proceedings Article Dans: 2020 17th International Multi-Conference on Systems, Signals & Devices (SSD), p. 308-312, 2020, ISSN: 2474-0446. |
Multitemporal Sar Image Despeckling Based on Immse Filtering Proceedings Article Dans: 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS), p. 113-116, 2020. |
Sensor Fault Detection and Estimation Based on UIO for LPV Time Delay Systems Using Descriptor Approach Chapitre d’ouvrage Dans: Derbel, Nabil; Ghommam, Jawhar; Zhu, Quanmin (Ed.): Diagnosis, Fault Detection & Tolerant Control, p. 55–69, Springer Singapore, Singapore, 2020, ISBN: 978-981-15-1746-4. |
Land cover classification of GeoEye image based on Convolutional Neural Networks Proceedings Article Dans: p. 458-461, 2020. |
What is the relationship between the coronavirus crisis and air pollution in Tunisia? Article de journal Dans: Euro-Mediterranean Journal for Environmental Integration, vol. 6, 2020. |
Texture classification of fabric defects using machine learning Article de journal Dans: International Journal of Electrical and Computer Engineering (IJECE), vol. 10, p. 4390, 2020. |
Drosophila image Segmentation using Marker Controlled Watershed Proceedings Article Dans: p. 191-195, 2020. |
Fractional interval observers and initialization of fractional systems Article de journal Dans: Communications in Nonlinear Science and Numerical Simulation, vol. 82, 2020, (Cited by: 6; All Open Access, Bronze Open Access, Green Open Access). |
Fault Detection and Isolation for Continuous-Time Switched Linear Systems: A Set Membership Approach Conférence 2020, (Cited by: 1). |
Fractional interval observers and initialization of fractional systems Article de journal Dans: Communications in Nonlinear Science and Numerical Simulation, vol. 82, 2020, (Cited by: 6; All Open Access, Bronze Open Access, Green Open Access). |
Fault-Tolerant Control of Two-Time-Scale Systems Book Section Dans: Diagnosis, Fault Detection & Tolerant Control, p. 235–264, Springer, 2020. |
Diagnosis of time-delay fractional systems using observer-based methods Article de journal Dans: International Journal of Dynamical Systems and Differential Equations, vol. 10, p. 128, 2020. |
Dynamic Modeling of a Quadrotor UAV Prototype Chapitre d’ouvrage Dans: Ghommam, Jawhar; Derbel, Nabil; Zhu, Quanmin (Ed.): New Trends in Robot Control, p. 281–299, Springer Singapore, Singapore, 2020, ISBN: 978-981-15-1819-5. |
vol. 53, 2020, (Cited by: 1; All Open Access, Bronze Open Access, Green Open Access). |
Optimization-based design of fractional PI controller for a three phase grid connected PV system Conférence 2020, (Cited by: 1). |
Robust sliding window observer-based controller design for Lipschitz discrete-time systems Conférence vol. 53, no. 2, 2020, (Cited by: 1; All Open Access, Bronze Open Access). |
Output-feedback Controller Design for Networked Control Systems Subject to Transmission Delays Conférence 2020, (Cited by: 0). |
Dynamic Modeling of a Quadrotor UAV Prototype Article de journal Dans: Studies in Systems, Decision and Control, vol. 270, p. 281 – 299, 2020, (Cited by: 4). |
2020, (Cited by: 0). |
Interval observer design for continuous-time switched systems under known switching and unknown inputs Article de journal Dans: International Journal of Control, vol. 93, no. 5, p. 1088 – 1101, 2020, (Cited by: 12). |
Polarimetric SAR Speckle Reduction by Hybrid Iterative Filtering Article de journal Dans: IEEE Access, vol. 8, p. 89603-89616, 2020, ISSN: 2169-3536. |
Enhancement of SAR Speckle Denoising Using the Improved Iterative Filter Article de journal Dans: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, p. 859-871, 2020, ISSN: 2151-1535. |
Diagnosis of time-delay fractional systems using observer-based methods Article de journal Dans: International Journal of Dynamical Systems and Differential Equations, vol. 10, no. 2, p. 128 – 148, 2020, (Cited by: 2). |
A comparison between two methods for MISO fractional models estimation Conférence 2020, (Cited by: 0). |
Land cover classification of GeoEye image based on Convolutional Neural Networks Conférence 2020, (Cited by: 2). |
Relaxed Stabilization Conditions for Time Delayed Takagi-Sugeno Systems Conférence 2020, (Cited by: 0). |
Gain Enhancement of Monopole Antenna Using Partially Reflective Surface for 5G Application Conférence 2020, (Cited by: 2). |
IoT Based Low-cost Weather Station and Monitoring System for Smart Agriculture Conférence 2020, (Cited by: 18). |
High isolation with neutralization technique for 5g-mimo elliptical multi-antennas Article de journal Dans: Smart Innovation, Systems and Technologies, vol. 147, p. 124 – 133, 2020, (Cited by: 2). |
Finite time consensus for multi-tricycle systems under graph theory Conférence 2020, (Cited by: 0). |
Influence of Design Variables on the Performance of Permanent Magnet Synchronous Motor with Demagnetization Fault Article de journal Dans: Studies in Systems, Decision and Control, vol. 269, p. 191 – 210, 2020, (Cited by: 0). |
Observer-based fault-Tolerant control for time delay system Conférence 2020, (Cited by: 1). |
An Internet of Robotic Things System for combating coronavirus disease pandemic(COVID-19) Conférence 2020, (Cited by: 9; All Open Access, Bronze Open Access). |
Radiation performance enhancement of an ultra wide band antenna using metamaterial band-pass filter Article de journal Dans: International Journal of Electrical and Computer Engineering, vol. 10, no. 6, p. 5861 – 5870, 2020, (Cited by: 8; All Open Access, Gold Open Access, Green Open Access). |
Sensorless Control Strategy for Five-Phase PMSM based on UIO for Linear Parameter Varying System Conférence 2020, (Cited by: 3). |
Automatic thresholding for sensor data gap detection using statistical approach Article de journal Dans: Smart Innovation, Systems and Technologies, vol. 163, p. 455 – 467, 2020, (Cited by: 3). |