A5084624828- Sensorless Control of Electric Motors
- Muscle activation and electromyography studies
- Advanced Sensor and Energy Harvesting Materials
- Wind Turbine Control Systems
- Adaptive Control of Nonlinear Systems
- Electric Motor Design and Analysis
- Advanced Steganography and Watermarking Techniques
- Multilevel Inverters and Converters
- Digital Media Forensic Detection
- Chaos-based Image/Signal Encryption
- Magnetic Bearings and Levitation Dynamics
- EEG and Brain-Computer Interfaces
- Fuzzy Logic and Control Systems
- Motor Control and Adaptation
- ECG Monitoring and Analysis
- Chaos control and synchronization
- Phonocardiography and Auscultation Techniques
- Computer Graphics and Visualization Techniques
- Parallel Computing and Optimization Techniques
- Cardiac electrophysiology and arrhythmias
- Tactile and Sensory Interactions
- Frequency Control in Power Systems
- Microgrid Control and Optimization
- Stroke Rehabilitation and Recovery
- Low-power high-performance VLSI design
University of Boumerdes
2018-2024
Assistance Publique – Hôpitaux de Paris
2022
Sorbonne Université
2022
Pitié-Salpêtrière Hospital
2022
University of Batna 1
2006-2021
University of Batna 2
2020
University Ferhat Abbas of Setif
2017
Electromyography (EMG) is a fundamental tool in diagnosing neuromuscular disorders (NMD). Due to the complex nature of EMG signals, different approaches, based on artificial intelligence and machine learning, were developed for signal analysis NMD diagnosis. Considering critical role maximum voluntary contraction (MVC) as metric assessing muscle fatigue, this work, classification simulated surface (sEMG) into MVC levels performed. Unlike previous studies, which focus primarily binary fatigue...
Importance Blood phosphorylated tau 217 (p-tau217) showed good performance in predicting brain amyloidosis. However, the importance of detailed cognitive phenotyping patients without dementia when interpreting p-tau217 results remains unclear. Objective To assess whether accuracy, negative predictive value (NPV), and positive (PPV) amyloidosis using varies across clinical presentations dementia. Design, Setting, Participants The study design included 2 observational, prospective cohort...
To assess the role of biomarkers Alzheimer disease (AD), neurodegeneration, and small vessel (SVD) as mediators in association between diabetes mellitus cognition. The study sample was derived from MEMENTO, a cohort French adults recruited memory clinics screened for either isolated subjective cognitive complaints or mild impairment. Diabetes defined based on blood glucose assessment, use antidiabetic agent, self-report. We used structural equation modeling to whether latent variables AD...
In this paper, we propose a vector control of doubly fed induction generator (DFIG) for variable speed wind power generation. The model is developed based on the dual powered active and reactive powers. Several studies are carried out to test their operation under different conditions. results have shown good performances energy converter system operate variations with indirect strategies.
Perfusion abnormalities after thrombolysis are frequent within and surrounding ischemic lesions, but their relative frequency is not well known.To describe the different patterns of perfusion observed at 24 hours compare characteristics patients according to pattern.From our registry, we included 226 consecutive with an available arterial spin labeling (ASL) sequence day 1. We performed a blinded assessment status (hypoperfusion-h, hyperperfusion-H, or normal-N) in lesion tissue. compared...
This paper presents a comparative study of two approaches for the direct power control (DPC) doubly-fed induction generator (DFIG) based on wind energy conversion system (WECS). Vector Control (VC) and Sliding Mode (SMC). The simulation results DFIG 5 KW in presence various uncertainties were carried out to evaluate capability robustness proposed scheme. (SMC) strategy is most appropriate scheme with best combination such as reducing high powers ripple, diminishing steady-state error...
In this paper, a new control stra¬tegy is deve¬loped; an adaptive fuzzy controller based on Lyapunov's stability theory (AFLC) recalculates the real-time PI-fuzzy gains and combines ...
This papers deal with a direct power control based on DFIG of 3 KW for WECS using FSMC. The strategy (FSMC) the most appropriate scheme reduction high ripple and steady-state errors fact that impact machine parameters variations does not modify performances system. proposed algorithm 5 was made to evaluate results capacity robustness presence various uncertainties.
This paper presents a method for estimation of the stator flux components and rotor speed based on theory an adaptive control direct torque (DTC). A linear observer is synthesized, by using Lyapunov in order to guarantee stability state estimation. The associated induction motor. To illustrate performances robustness this observer, simulation results presented
The combination of neural networks and fuzzy controllers is considered as the most efficient approach for different functions approximation, indicates their ability to control nonlinear dynamical systems. This paper presents a hybrid strategy called Neuro-Fuzzy Sliding Mode Control (NFSMC) based on Brushless Doubly fed Induction Generator (BDFIG). replaces sliding surface exclude chattering phenomenon caused by discontinuous action. technique offers attractive features, such robustness...
This paper presents a new sensorless direct torque control method for voltage inverter -fed PMSM.The is used modified Direct Torque Control scheme with constant switching frequency using Space Vector Modulation (DTC-SVM).The variation of stator and rotor resistance due to changes in temperature or deteriorates the performance DTC-SVM controller by introducing errors estimated flux linkage electromagnetic torque.As result, this approach will not be suitable high power drives such as those...
A substantial amount of work has been devoted to understanding the human visual system (HVS) and applying this knowledge image processing applications. In paper, we present a novel watermarking approach for applications in copy protection digital archives based on perceptual masking. proposed scheme, local properties features discrete cosine transform (DCT) domain are taken into consideration order optimize watermark strength. Based NVF (noise visibility function) cover image, mask is same...
Surface electromyographic (EMG) signals are known to be strongly influenced by anatomical, physiological and detection system parameters. Among the parameters, we interested in effect of muscle fiber inclination on electrode arrangement. The purpose this study was determine best worst orientation electrodes arranged nine systems relative direction also classify investigated according their degree isotropy. based simulated surface EMG (sEMG) generated a cylindrical multilayer volume...
This paper presents a hybrid scheme for the control of active and reactive powers using direct vector with stator flux orientation (SFO) DFIG. The consists Fuzzy logic, Reference Signal Tracking (F-RST) controllers. proposed controller is compared classical Proportional-Integral (PI) Polynomial (RST) based on pole placement theory. various strategies are analyzed in terms tracking, robustness, sensitivity to speed variation. Simulations done MATLAB software. simulation results prove that...
The quantity of medical image data accessible for analysis is increasing because advancements in telehealth services. Therefore, effective cryptographic solutions must be developed to prevent manipulation by unauthorized users insecure networks. This paper focuses on developing a lightweight symmetric cryptosystem algorithm with decreasing memory and power consumption at high speed standard images based the 3D intertwining logistic map-cosine (ILM-cosine), which powerful chaotic system...
Powerful cryptographic systems require a qualified random number generator. This research purposes to provide comprehensive comparative analysis done on several of the well-known pseudo-random generators (PRNGs) regarding their efficiency and resilience against crypto-analytical threats. These consist basic 8-bit Non-Linear Feedback Shift Register (NLFSR), logistic map (LM), our proposed hybrid generator named NLFSR-LM, which combines through XOR operation sequences NLFSR with LM achieve...
The cross-correlation coefficient (CC) was used to estimate the effects of muscular voluntary contraction (MVC) and fibres inclination. study based on simulated surface electromyographic (sEMG) signals generated in a cylindrical multi-layer volume conductor (bone, muscle, fat skin) detected by longitudinal single differential (LSD), inverse binomial order two (IB2) maximum kurtosis (MKF) systems. We calculated correlation coefficients sEMG signal from parallel when inclination angle (FIA)...
Electrocardiogram (ECG) signal with artifact might lead to wrong analysis. In this paper, discrete cosine transform (DCT) denoising method for artifacts removal from ECG signals is proposed. Based on the energy properties of DCT located in low frequency coefficients and baseline wander (BW) noise also a signal; therefore we deduce that firsts corresponds BW it. our approach estimated transform, corrected obtained by its subtraction noisy time domain. The simulation results are done based...
This paper presents a new method for color image watermarking based on chaos theory. For reasons of simplicity, the watermark is embedded in spatial domain into blue channel RGB space order to increase invisibility watermarks. Watermark detection performed without using original image, by computing statistical correlation between watermarked and watermark. Experimental results show good performance proposed scheme common attacks geometric with images having PSNR over 50dB.
Abstract In this study, we investigated the effects of motor unit (MU) location and size fibres pennation on ability anisotropic almost isotropic spatial filters used to detect surface electromyographic (EMG) signals make a distinction between action potentials (MUAPs) generated from two MUs. The study was based simulated MUAPs. orientation performed by varying angle (FPA). root mean square error (RMSE) MUAPs MUs as criterion evaluate distinguish MU fixed second moved away first in...
The main purpose of this simulation study was to estimate the effect muscle fibres inclination on degree Gaussianity surface electromyographic (sEMG) signals generated in a cylindrical multilayer volume conductor constituted by bone, muscle, fat and skin layers detected longitudinal single differential (LSD), inverse binomial order two (IB2), maximum kurtosis filter (MKF) three rings (3RGs) systems. This estimation based computation Kurtosis simulated sEMG when angle (FIA) varied from 0°...