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The steganography is the art of hidden; its main aim is to pass unnoticed data in another data. There are many types of data that used in steganography, such as message, image, and video. In this work, we are interested in hiding a message inside an image. Our work focuses on the study of three approaches based on least significant bit (LSB) techniques that mean put the bits of the message in the...
This paper introduces a new system to identify handwritten signatures. For feature generation, we propose the Histogram of templates, while the Artificial Immune recognition System (AIRS) is used to achieve the identification task. A writer-independent strategy is proposed to train the AIRS to get an open system that can identify any new writer. Experiments are conducted on a benchmark dataset composed...
This paper presents the design of a super-twisting with a high-gain observer-based state and sensor faults estimations for a continuous stirred tank reactor (CSTR). The proposed schemes transform the original system into two subsystems, the first subsystem includes the nominal plant where a high-gain observer is proposed for state estimation, whereas the second subsystem has only sensor faults where...
This work presents the application of a fuzzy logic iterative learning controller (FLC-ILC) for the trajectory tracking of Parallel Kinematic Manipulators (PKM). The PKM are increasingly used in repetitive tasks, and in order to benefit from this characteristic, an ILC is introduced and combined with the proportional-derivative (PD) feedback controller to improve the tracking error from iteration...
In medical field, deformable image registration is a critical task, it aims at deforming one image so that each point maps to a corresponding point in another image. The main component of deformable image registration is the similarity measure that is maximized during the optimization process. In this paper, we evaluate the effect of the choice of similarity measures for B-spline deformable registration...
The performance of the photovoltaic panel is significantly affected by various environmental factors, due to these changes there is little chance to operate the PV module at its maximum power point when using Perturb and Observe (P&O) algorithm. Hence, an intelligent controller is designed employing ANFIS which draws much energy and fast response. The current work proposes an artificial-intelligence...
This work describes how fuzzy logic control FLC can be applied to sonar sensors of a Pioneer 3-DX mobile robot. The fuzzy logic approach has proved its effectiveness in the navigation of mobile robots in known and unknown environments in the different industrial areas. It provides a mechanism for combining sensor data from all sonar sensors and a position sensor which present different information...
This paper proposes a real time scalar control of induction motor by using RT-LAB software. This method of control leads to be able to adjust the speed of the motor by control the frequency and stator voltage magnitude, the ratio of stator voltage magnitude to frequency should be kept constant, which is called as scalar control of induction motor. The real-time scalar control algorithm is designed...
In this paper, we propose a new algorithm based on the combination of the well-known Kalman Filter (KF) and a Temporal Differencing (TD) method named the Q-learning technique. The purpose is to solve a single maneuvering target tracking problem. The algorithm consists of adapting the noise process of the Kalman filter when the target changes its mode using Q-learning based decision. After a comparison...
Renewable Energies (RE) are considered as an important alternative sources of energy for the generation of electricity such as hydrogen and photovoltaic energies. To ensure an efficient photovoltaic energy conversion several Maximum Power Point Tracking (MPPT) algorithms have been developed to incite the PV field to deliver maximum power. This paper presents a comprehensive comparative study of two...
The multimodal biometric systems make use of two or more modalities that together achieve much higher performances to overcome the defects of the unimodal biometric system. Depending on the application context, biometrics recognition system may be used either to identification or in the verification of an individual. This paper proposes multimodal biometric system based on the face and iris operate...
This paper provides comparative control study of PMSG wind turbine connected to DC load through a DC/DC converter in order to improve the impact on the power system and optimize the power production. The maximum power point tracking (MPPT) algorithms analyzed and compared are: A conventional proportional-integral controller (PI) and two based fuzzy logic controllers (Fuzzy-PI and Adaptive FLC-PI)...
Multilayer polyethylene is a material that is generally employed as insulation for the HVDC isolations. In this paper, the influence of the dielectric thickness on space charge dynamic has been studied. For example, low-density polyethylene (LDPE) and Fluorinated Ethylene Propylene (FEP) sandwiched between two electrodes were subjected to high voltage application for the extended duration of time...
This paper deals with the development of intelligent power control and energy management of a photovoltaic-hydrogen hybrid system used in standalone application. Electrical power from solar conversion meets the user loads and the surplus used for water electrolysis to produce hydrogen. The system controlled by using an intelligent power conditioning units based on echo state network to ensure good...
Feature extraction is a key component of a Monocular Simultaneous Localization and Mapping (Monocular SLAM) system which permits to extract features and can also reliably track them over frames. In this paper, a novel approach for Monocular SLAM is proposed. This approach uses the information on the camera displacement and image saliency to adequately extract stable and suitable features, ones that...
The paper presents a new MPPT method based on Golden-Section Optimization (GSO) technique for photovoltaic systems. The GSO-based MPPT converges to the MPP by interval shrinking. Initially, two points have been selected from the search space that is known, evaluated then a new point is accordingly generated. At given iteration the algorithm has a new narrowed interval bounded by the new point and...
This paper deals with the design of a Proportional Multiple Integral (PMI) observer for Takagi-Sugeno systems with immeasurable premise variables subjected to unknown inputs. The introduction of an output error injection in the premise variable of the PMI observer allows to significantly reduce the conservatism of LMI-based stability conditions. A simulation example of a chaotic system is given to...
The building sector is considered a major consumer of energy among all economic sectors. It represents approximately 40 percent of energy consumption. An important energy consumer is associated with building heating systems. The main objective of this paper is to use a novel supervisory control strategy based on RBF neural networks architecture to achieve a good temperature regulation in a building...
In this paper, a neural network based adaptive state feedback control scheme is proposed to solve the problem of trajectory tracking in the joint space for robotic manipulators with the presence of high uncertainty in the system parameters. First nonlinear behavior of the robot is approximately eliminated by applying a linearizing control, the closed loop dynamics is stabilized using static compensator...
This paper addresses the problem of acoustic noise reduction and speech enhancement in new telecommunication systems by adaptive filtering algorithms. We propose a new two-channel forward BSS algorithm based on signal prediction to give an automatic algorithm with a very nice behavior at the output. This algorithm is called the two-channel fast normalized least mean square (TCFNLMS) algorithm. This...
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