Phase Space Topology and Bifurcation of Liouville Torii in the Goryatchev-Tchaplygin Top

The classical problem of a rigid body with a fixed point is considered in the case of Goryatchev-Tchaplygin. We give a complete description of its real phase space topology. All generic bifurcation of Liouville Torii is determined theoretically and numerically. We give also explicit periodic solutions of the problem.The classical problem of a rigid body with a fixed point is considered in the case of Goryatchev-Tchaplygin. We give a complete description of its real phase space topology. All generic bifurcation of Liouville Torii is determined theoretically and numerically. We give also explicit periodic solutions of the problem

Bifurcations sets of the Sretensky axial symmetric gyrostat

In this paper, we perform an adapted Deprit coordinate transformation and we analyse the flow evolution on the phase space for the axial symmetric gyrostat in the Sretensky case .We give a complete description of thegeneric bifurcations of the common level sets of the first integrals. A numerical investigation of these bifurcations is considered.In this paper, we perform an adapted Deprit coordinate transformation and we analyse the flow evolution on the phase space for the axial symmetric gyrostat in the Sretensky case .We give a complete description of thegeneric bifurcations of the common level sets of the first integrals. A numerical investigation of these bifurcations is considered

Design and PIL Test of High Performance MPPT Controller Based on P&O-Backstepping Applied to DC-DC Converter

This paper presents the design, test and validation process of the maximum power point tracking (MPPT) based on the Perturb and Observe backstepping controller. The design of this robust controller follows a sequence of two tests of the validated model-based design (MBD) approach. Our contribution is to give a roadmap for designing, testing and validating embedded software for MPPT algorithms. Perturb and observe algorithm is used to generate the reference voltage which is used by the backstepping controller to generate the maximum power. Then, after simulation of all these techniques, generated optimized C code for the STM32F4 microcontroller is necessary to test the controller on embedded platform. Therefore, the algorithm of MPPT is simulated by Model in the Loop (MIL) and Processor in the Loop (PIL) techniques. The results show that the proposed system has full control over reference power, for different atmospheric changes, by backstepping and integrating into a 32-bit ARM microcontroller. In all of the various tests, the embedded software developed demonstrates high compliance and high performance with MPPT requirements

The simultaneous effects of the wetting layer, intense laser and the conduction band non-parabolicity on the donor binding energy in a InAs/GaAs conical quantum dot using the numerical FEM

Using the finite element method, we have performed a systematic study on the ground-state binding energy (  of a donor impurity confined in a  conical quantum dot (CQD) with wetting layer (WL) and a realistic finite confining potential. The simultaneous effect of the applied electric and magnetic fields as well as the influence of an intense laser field have been performed on the Eb within the effective mass approximation. The band non-parabolicity effect is also considered using the energy dependent effective mass approximation. It has been shown that the Eb is highly dependent on the internal and external CQD structure parameters such as radial thickness, height and WL thickness, external electric, magnetic fields and intense laser field. The results we have obtained show that a quite significant contribution of the WL effects on the ground state energy and the Eb has found at small values of the cone radius. In the low confinement regime, the effect of the conduction band non-parabolicity becomes gradually smaller as the value of the cone radius increases and the influence of high-frequency laser increases with the non-parabolicity effect in the regime of small QD radius. Our results are in good agreement with those obtained in the literature

High efficiency multi power source control constant current/constant voltage charger lithium-ion battery based on the buck converter

This paper proposes the design and simulation of a constant current/constant voltage (CC/CV) multi-power source lithium-ion (Li-ion) battery charging system based on the Buck typology. The aim of this new design that uses the Buck converter with multiple numbers of sources, is to provide sufficient energy for battery charging, with an analog switch to select the active source that has priority to guarantee the continuity of the charging without interruption. As well as the transition between the charging modes is smooth that is provided by a multiplexed switcher. At the same time is increases the efficiency of the system by using fewer power dissipation components and low output ripple. The obtained results show that the Li-ion battery can be successfully charged without reducing its life cycle. In the global, those technics allow reducing financial costs. This allows such a solution to be well-positioned in the industrial market (electric vehicles (EV) and medical)

Towards robotics and artificial intelligence for the prevention of Covid 19 pandemic

In times of medical crisis, robotics and artificial intelligence helps humans manage emergencies and ensure a fast and efficient decontamination process. In this paper, we propose a robot with temperature detection, Corona virus checker using new biosensors, and artificial intelligence facial mask detection based on the deep convolutional neural network. Our robot can sterilize and patrol any type of area. In particular, airports, the train station and transport facilities which are the routes of transmission of the virus from one country to another

A special case of the Garnier system, the quartic potential Vααααββββ and its integrability

In this paper we discuss some algebraic and the structure of the phase space of an integrable quartic potential. It is a special case of the so-called Garnier system: H = 1/2 ( P21 + P22) + (q22 + q12 )² + aq12 + bq22 In order to carry out the analytical invertigation we get first the separability of the variables (separation of the Hamilton -Jacobi equation); afterwards we give a complete description of the real phase space topology.In this paper we discuss some algebraic and the structure of the phase space of an integrable quartic potential. It is a special case of the so-called Garnier system: H = 1/2 ( P21 + P22) + (q22 + q12 )² + aq12 + bq22 In order to carry out the analytical invertigation we get first the separability of the variables (separation of the Hamilton -Jacobi equation); afterwards we give a complete description of the real phase space topology

Real time monitoring of water Quality using IoT and Deep learning

Access to safe drinking water is one of the most pressing issues facing many developing countries. Water must meet Environmental Protection Agency (E.P.A.) requirements. The normal method of measuring physico-chemical parameters is to take samples manually and send them to the laboratory to check the water quality. In this paper, we proposed a new intelligent design of a real-time water quality monitoring system using Deep Learning technology. This system is composed of several sensors that allow us to measure water parameters (physico-chemical parameters), bacteriological parameters and organoleptic parameters) and to detect the presence of certain substances (undesirable substances, toxic substances) and of a single-board/mobile computer module, Internet and other accessories. Water parameters are automatically detected by the single-board computer. Raspberry Pi3 model B. The single board computer receives the data from the sensors and this data is sent to the web server using the Internet module. It is able to detect the water quality situation worldwide. The data will be analysed in real time. The application of deep learning to these areas has been an important research topic. The Long-Short Term Memory (LSTM) network has been shown to be well suited for processing and predicting large events with long intervals and delays in the time series. LSTM networks have the ability to retain long-term memory

Bifurcations sets of the Sretensky axial symmetric gyrostat

this paper, we perform an adapted Deprit coordinate transformation and we analyse the flow evolution on the phase space for the axial symmetric gyrostat in the Sretensky case .We give a complete description of thegeneric bifurcations of the common level sets of the first integrals. A numerical investigation of these bifurcations is considere