- Energy Efficient Wireless Sensor Networks
- Machine Fault Diagnosis Techniques
- Structural Health Monitoring Techniques
- Fault Detection and Control Systems
- IoT-based Smart Home Systems
- Energy Harvesting in Wireless Networks
- EEG and Brain-Computer Interfaces
- Underwater Vehicles and Communication Systems
- Antenna Design and Analysis
- Non-Invasive Vital Sign Monitoring
- Gear and Bearing Dynamics Analysis
- Advanced MIMO Systems Optimization
- Advanced Algorithms and Applications
- COVID-19 diagnosis using AI
- Blind Source Separation Techniques
- Wireless Body Area Networks
- Context-Aware Activity Recognition Systems
- Security in Wireless Sensor Networks
- Water Quality Monitoring Technologies
- Retinal Imaging and Analysis
- Fuzzy Logic and Control Systems
- Non-Destructive Testing Techniques
- Sensor Technology and Measurement Systems
- Belt Conveyor Systems Engineering
- Optical Wireless Communication Technologies
University of Hassan II Casablanca
2020-2024
École nationale supérieure d'arts et métiers
2024
Smart Material (Germany)
2023-2024
Abdelmalek Essaâdi University
2014-2020
Ameliorating the lifetime in heterogeneous wireless sensor network is an important task because nodes are limited resource energy. The best way to improve a WSN clustering based algorithms which each cluster managed by leader called Cluster Head. Each other node must communicate with this CH send data sensing. nearest base station also their leaders, causes loss of In paper, we propose new approach ameliorate threshold distributed energy efficient protocol for networks excluding closest...
In this work, we propose a compact CoPlanar Waveguide (CPW) fed two-port multipleinput multiple-output (MIMO) antenna with high isolation for Ultra-Wideband (UWB) applications.The proposed consisting of two symmetrical radiators placed side-by-side on an FR-4 substrate size 0.48λ × 0.01λ mm 3 at 3.1 GHz (where λ = guided wavelength the lowest frequency operation).The between elements is more than 16.5 dB in entire UWB, which achieved by introducing ground plane vertical T-shaped...
Electrical energy production based on wind power has become the most popular renewable resources in recent years because it gets reliable clean with minimum cost. The major challenge for turbines is electrical and mechanical failures which can occur at any time causing prospective breakdowns damages therefore leads to machine downtimes loss. To circumvent this problem, several tools techniques have been developed used enhance fault detection diagnosis be found stator current signature...
In these last ten years, the use of wind energy has become a strategic alternative in several countries; increase reliability systems crucial issue. This is explained by economic, human or environmental) losses that could generate even if only for moment, their malfunctioning shutdown. this context, many research methods have been developed to monitor machines during operation time. But problem with was they did not take into account criticality, type fault, degradation degree components...
In new energy development, wind power has boomed. It is due to the proliferation of parks and their operation in supplying national electric grid with low cost clean resources. Hence, there an increased need establish a proactive maintenance for turbine machines based on remote control monitoring. That necessary real-time wireless connection offshore or inaccessible locations while wired method many flaws. The objective this strategy prolong lifetime increase productivity. hardware...
This is a proposal for an automated detection and remote monitoring system made up of centralized network communicating portable electronic devices based on biomedical sensors operating in the IoT context synergy with wireless sensor technologies, telemedicine artificial intelligence. will be deployed to monitor population settling target area (cities, region, country, etc.). The goal this early diagnosis disease people infected COVID-19 virus, using device (such as bracelet or chest strap)....
Early fault diagnosis plays a very important role in the modern energy production systems. The wind turbine machine requires regular maintenance to guarantee an acceptable lifetime and minimize loss. In order implement fast, proactive condition monitoring, ESPRIT method seems correct choice due its robustness improving frequency amplitude detection. Nevertheless, it has complex computation real time. To avoid this problem, Fast-ESPRIT algorithm that combined IIR band-pass filtering...
The scalability and stability in wireless sensor networks (WSNs) are considering as an important issue due to the large numbers of nodes consequently their node density deployment.While network size increase, need scalable efficient routing protocols is indispensable.Moreover, have be alive guarantee operation for period which first died doesn't appear.This period, named region, ameliorated by many techniques.In fact, balancing energy consumption clustering method among those this paper, we...
The improvement of the lifetime heterogeneous wireless sensor networks is a challenge for many researches. One most important protocols to achieve this goal divide network into clusters that run by single node called cluster head and others have attached. However, all nodes must form including nearest base station which should be excluded from clustering process. Furthermore these consume more energy since each member communicates directly with their not station. To eliminate notes process,...
The metrology field has been progressed with the appearance of wireless intelligent sensor systems providing more capabilities such as signal processing, remote multisensing fusion etc.This kind devices is rapidly making their way into medical and industrial monitoring, collision avoidance, traffic control, automotive others applications.However, numerous design challenges for sensors are imposed to overcome physical limitations in data traffic, system noise, real time communication,...
Many researchers employ ESPRIT method as robust detection tool to identify fault frequency and amplitude in induction machines.However, this algorithm presents some limitation terms of computational time required data memory size.This drawback makes technology unusable real diagnosis application.In the fact that wind turbine machine necessitates an on-line regular maintenance guarantee acceptable lifetime maximize its productivity.Thus, improved version ESPRIT-TLS has been proposed simulated...
Orthogonal time frequency space (OTFS) modulation is a coming technique addressing the challenges of 5G and 6G. It’s appeared to bring about outstanding error performance in delay – Doppler (DeDo) channels. Still, really fair comparison with its competitor's direct orthogonal division multiplexing extensively used this participation, we will make OTFS OFDM digital format terms bit rate (BER) versus signal-to-noise (SNR) for 16- QAM technique. From numerical simulations under MATLAB, results...
The Visual Evoked Potential (VEP) examination is used to analyze the appropriate functioning of optical pathways from retina visual cortex. In hospitals, diagnosis made by physicians based mainly on reading temporal trace and identifying latency P100. However, after a considerable research effort, it has been confirmed that this method subjective relatively less reliable. our work, we report different approaches resolve inadequacy traditional classification, studying efficiency VEP signal...
With the continuous expansion of intelligent sensor systems, efficient wireless communication technologies have become increasingly important. This paper presents a concise comparative study between Radio Frequency (RF) and Wireless Optical Communication (WoC) using Visible Light (VLC) for Sensor Network (WSN) Internet Things (IoT) applications. evaluated various performance metrics, such as effective energy utilization, throughput, efficiency, link distance, SNR, BER, total attenuation,...
Because of the increasing use frequency bands, spectrum has become a necessity. Cognitive Radio Networks (CRNs) are considered as solutions to scarcity. In CRNs, effective decision-making mechanisms important for SUs identify and exploit optimal opportunities while reducing interference with PU. This research aims analyze compare techniques in CRNs using fuzzy logic models Mamdani Sugeno. The fuzzy-logic model employs variables rule-based systems make decisions based on expert knowledge...
Nowadays, when it comes to bearing faults monitoring, several solutions and implementations are in vogue due the interest they arouse. It can be seen both types of hardware used and, signal-processing algorithms techniques employed. However, for a fault such as fault, which accounts 41% all these systems is also source majority other faults, appears that approaches until now insufficient containing this losses generates. The aim work present new system dedicated exclusively bearings, while...