Mohamed-Mourad Lafifi

Badji Mokhtar University | UBMA · Département d'electronique

The interest to electrify all modes of transportation has increased over these past years. Their source of power is primarily a systems of energy storage like Battery packs. The SOC of a battery indicates the amount of charge stored in the battery and is a critical parameter for its safe and efficient operation of the electric vehicles. However, it...

In this paper we developed a prototype that detects the drowsiness of an automobile driver using artificial intelligence techniques, precisely using open-source tools like TensorFlow Lite on a Raspberry Pi development board. The TensorFlow model is trained on images captured from the video with the help of object detection using Cascade Classifier....

Accurate estimation of lithium-ion (Li-ion) cell state of charge (SOC) is critical for battery management systems (BMS) in electric vehicles (EV). Li-ion cell SOC is related to its open-circuit voltage (OCV) by a non-linear relationship; finding this relation that can accurately reflect cell behavior is favorable for increasing SOC estimate accurac...

In this article we prsent one of the best IoT module, easy to use, low power consumption and fast programming using Arduino IDE. The M5StickC is a mini version of the M5Stack and also based on the ESP32 microcontroller. It is a user-friendly and open-source IoT development board. The M5StickC programming is possible with UIFlow, MicroPython and of...

This article deals with the designing of fuzzy sliding mode observer in order to fault diagnosis in solar power plant. Purpose technique enable to the modulated using Takagi-Sugeno (TS) fuzzy models. Principal of proposed observer is to uses for estimate the state vector of the system; a Linear Matrix Inequalities (LMIs) is performed to ensure stab...

The objective of this work was to solve the problem of non linear time variant multi-input multi-output of greenhouse internal climate for tomato seedlings. Artificial intelligent approaches including neural networks and fuzzy inference have been used widely to model expert behavior. In this paper we proposed the Adaptive Neuro-Fuzzy Inference Syst...

This paper describes a Field-programmable Gate Array (FPGA) implementation of Adaptive Neuro-fuzzy Inferences Systems (ANFIS) using Very High-Speed Integrated Circuit Hardware-Description Language (VHDL) for controlling temperature and humidity inside a tomato greenhouse. The main advantages of using the HDL approach are rapid prototyping and allow...

In this work we present the diesel engine control structure, designed for the series-parallel hybrid vehicles (HEV). This type of hybridization is interesting on the level of the objectives to be reached but complex on the level of the performance optimization. For that, we must impose a severe demand on the approximation of the model. Our choice w...

In this work we present the diesel engine control structure, designed for the series-parallel hybrid vehicles (HEV). This type of hybridization is interesting on the level of the objectives to be reached but complex on the level of the performance optimization. For that, we must impose a severe demand on the approximation of the model. Our choice w...

This paper presents a predictive control model for standalone Solar Power Plant (SPP) via Takagi-Sugeno (T-S) Fuzzy model. An approach to design MPC based on Fuzzy Kalman Filter (FKF) has been proposed. The aim of this suggested method is to maintain a specified set point of the collector outlet temperature by adjusting the flow rate of the heat tr...

This paper describes a Field-programmable Gate Array (FPGA) implementation of the Adaptive neuro-fuzzy inferences Systems (ANFIS) using the Very High speed integrated-circuit Hardware-Description Language (VHDL) for temperature and humidity control inside a horticultural greenhouse. The main advantages of using the HDL approach are rapid prototypin...

—At present the technologies of solar concentration are the one which present most possibilities for commercial use. Thus, it is necessary not only to design processes of conversion of energy, but it is also important to assure an availability of these equipment by the conception of fault detection and isolation (FDI) systems. In this paper we use...

In this work we present the diesel engine control structure, designed for the series-parallel hybrid vehicles (HEV). This type of hybridization is interesting on the level of the objectives to be reached but complex on the level of the performance optimization. For that, we must impose a severe demand on the approximation of the model. Our choice w...

This work primarily concerns the controlling of the diesel engine designed for the hybrid vehicles series-parallel (HEV). This type of hybridization is interesting on the level of the objectives but complex on the level of the performance optimization. For that, we must impose a severe approximation to the model. Our choice was made on neural netwo...

This work primarily concerns the controlling of the diesel engine designed for the hybrid vehicles series-parallel (HEV). This type of hybridization is interesting on the level of the objectives but complex on the level of the performance optimization. For that, we must impose a severe approximation to the model. Our choice was made on neural netwo...

This work primarily concerns the controlling of the diesel engine designed for the hybrid vehicles series-parallel (HEV). This type of hybridization is interesting on the level of the objectives but complex on the level of the performance optimization. For that, we must impose a severe approximation to the model. Our choice was made on neural netwo...

The structure of software i s one of the active areas of research over the past decade. Its main objective i s to help complex systems designers to achieve the objectives of the system. Validation of programmable complex systems i s one of the most complex and expensive tasks in the current Systems on Chip design process, like FPGA . Usually this v...

Nowadays, rotating machines (RM) plays an important role in industry. Therefore detection a precise faults in main part of RM will avoid non programmed stops of production by real time management of machine status. Different detection methods using vibration signature analysis, noise signature analysis and lubricant signature analysis were presente...

In the context of the electricity production, the solar energy is appropriate and endless. At present the technologies of solar concentration are the one which present most possibilities for commercial use. Thus, it is necessary not only to design processes of conversion of energy, but it is also important to assure an availability of these equipme...

1) bbouleb@yahoo.fr, (2) radlafmou@yahoo.fr, (3) bensaoula_salah@yahoo.fr, ABSTRACT In digitally modern world, the fundamental issue of multimedia data security (such as digital audio signals, images, and videos) is becoming a major concern due to the rapid development of digital communications and networking technologies. Traditional encryption sc...