International audienc
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Abstract The aim of this paper is to propose a new efficient and reliable approach for the diagnosis of wiring networks using Time Domain Reflectometry (TDR) and an Improved Black Hole (IBH) optimisation algorithm. A forward model based... more
Abstract The aim of this paper is to propose a new efficient and reliable approach for the diagnosis of wiring networks using Time Domain Reflectometry (TDR) and an Improved Black Hole (IBH) optimisation algorithm. A forward model based on RLCG parameters and Finite Difference Time Domain (FDTD) method is developed to simulate the TDR response for a given wiring network. The IBH algorithm is used to solve the inverse problem in order to detect, characterise and localise defects in wiring networks. Experimental studies are performed to show that the proposed approach can be implemented for the diagnosis of real-world systems. The results presented here demonstrate that the proposed approach using TDR and IBH is an efficient and reliable diagnosis approach for wiring networks.
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National audienc
... Le froid magnétique : modélisation et optimisation thermique de la réfrigération magnétique à régénération active. Houssem Bouchekara 1 , Afef Kedous-Lebouc 1 , Cédric Dupuis 1 , Jean-Louis Coulomb 1 , Jean-Paul Yonnet 1.... more
... Le froid magnétique : modélisation et optimisation thermique de la réfrigération magnétique à régénération active. Houssem Bouchekara 1 , Afef Kedous-Lebouc 1 , Cédric Dupuis 1 , Jean-Louis Coulomb 1 , Jean-Paul Yonnet 1. (15/05/2008). ... Contributeur : Sylvie Garcia <>. ...
The localization of the nodes in wireless sensor networks is essential in establishing effective communication among different devices connected, within the Internet of Things. This paper proposes a novel method to accurately determine... more
The localization of the nodes in wireless sensor networks is essential in establishing effective communication among different devices connected, within the Internet of Things. This paper proposes a novel method to accurately determine the position and distance of the wireless sensors linked in a local network. The method utilizes the signal strength received at the target node to identify its location in the localized grid system. The Most Valuable Player Algorithm is used to solve the localization problem. Initially, the algorithm is implemented on four test cases with a varying number of sensor nodes to display its robustness under different network occupancies. Afterward, the study is extended to incorporate actual readings from both indoor and outdoor environments. The results display higher accuracy in the localization of unknown sensor nodes than previously reported.
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In the emerging age of the Internet of Things (IoT), energy-efficient and reliable connection among sensor nodes gain prime importance. Wireless engineers encounter a trade-off between sensors energy requirement and their reliable full... more
In the emerging age of the Internet of Things (IoT), energy-efficient and reliable connection among sensor nodes gain prime importance. Wireless engineers encounter a trade-off between sensors energy requirement and their reliable full connectivity. Consequently, the need to find the optimal solution draws the attention of many researchers. In this paper, the Electrostatic Discharge Algorithm (ESDA) is proposed, implemented, and applied to minimize energy needs of a sensor node while ensuring the fully-connectedness of each node. The obtained results show that the proposed method achieves better results than those found in the literature using the particle swarm optimization method in terms of energy savings and reliable connectivity.
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─ Teaching-learning-based optimization (TLBO) is a rising star technique among metaheuristic techniques with highly competitive performance. This technique, which has been recently introduced, is based on the effect of influence of a... more
─ Teaching-learning-based optimization (TLBO) is a rising star technique among metaheuristic techniques with highly competitive performance. This technique, which has been recently introduced, is based on the effect of influence of a teacher on learners and learners on their colleagues. This paper intends to apply an improved version of TLBO in the field of electromagnetics. To demonstrate its effectiveness in this area, the proposed technique is applied to two benchmarks related to brushless direct current wheel motor problem and testing electromagnetic analysis methods problem number 22. The quality of the results presented shows that the proposed technique is very competitive with other well-known optimization techniques; hence, it is a promising alternative technique for optimization in the field of electromagnetics. Index Terms ─ electromagnetics, metaheuristics, optimization, teaching-learning-based-optimization.
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Research Interests: Computer Science and IEEE
Research Interests: Computer Science and IEEE
An efficient diagnosis method dedicated to embedded wiring network based on reflectometry technique is developed in this study. The proposed methodology is based on the two complementary steps. In the first step, the time-domain... more
An efficient diagnosis method dedicated to embedded wiring network based on reflectometry technique is developed in this study. The proposed methodology is based on the two complementary steps. In the first step, the time-domain reflectometry (TDR) method is simulated, by RLCG (R: resistance, L: inductance, C: capacitance and G: conductance) circuit model and the numerical finite-difference time-domain method, and at the same time the datasets are created. In the second step, the support vector machine (SVM) algorithm is combined with a principal component analysis to identify the faults on wiring network from the TDR response. Two types of SVM models have been used in the diagnosis procedure: SVM classifiers and SVM regression models. In order to illustrate the performances and the feasibility of the proposed approach, numerical and experimental results are presented.
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The main objective of this paper is to solve different configurations of the optimal power flow (OPF) problem efficiently using an improved version of the newly proposed electromagnetic field optimization (EFO) algorithm. The developed... more
The main objective of this paper is to solve different configurations of the optimal power flow (OPF) problem efficiently using an improved version of the newly proposed electromagnetic field optimization (EFO) algorithm. The developed and improved new version of EFO is based on chaotic maps and on a new mechanism. This improved version is called improved chaotic electromagnetic field optimization (ICEFO) algorithm. The performances of the ICEFO algorithm are evaluated on a large set of cases using: tow formulations, three objective functions (cost minimization, cost minimization and voltage profile improvement and cost minimization and voltage stability enhancement) and three test systems (the IEEE 30-bus, the IEEE 57-bus and the IEEE 118-bus test systems). The obtained results of the developed algorithm are compared with other well-known algorithms. These results demonstrate that the developed algorithm is able to solve efficiently different configurations of the OPF problem and for different test systems.
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Abstract Electric spring has recently been proposed as a special type of reactive power compensator to improve various attributes of the smart grid. Its extended functionality and applications are yet to be explored. This paper presents a... more
Abstract Electric spring has recently been proposed as a special type of reactive power compensator to improve various attributes of the smart grid. Its extended functionality and applications are yet to be explored. This paper presents a new application of electric spring to ensure constant power across the loading elements under impedance variations. Two control methodologies are proposed to carry out this task: a linear approximation configuration and a closed-loop configuration. Design and mathematical analysis are provided, and the results of both control configurations are analyzed for a simulation model as well as a hardware setup. It has been found that experimental results are congruent with those obtained from the simulation model, hence ensuring the efficacy of theoretical framework.
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Because of their several advantages like simplicity, flexibility and adaptability, nature-inspired (NI) optimisation algorithms have attracted significant attention for solving complex optimisation problems. Source of inspiration for NI... more
Because of their several advantages like simplicity, flexibility and adaptability, nature-inspired (NI) optimisation algorithms have attracted significant attention for solving complex optimisation problems. Source of inspiration for NI are multiple. This study aims to propose a new NI optimisation algorithm inspired by the electrostatic discharge (ESD) event. Tested on a large set of benchmarks and compared with several well-known optimisation algorithms the ESD algorithm (ESDA) is found to be a very competitive algorithm. Moreover, the ESDA has been applied for the determination of wort-case scenarios for electromagnetic compatibility (EMC) filter.
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Research Interests:
ABSTRACT The performances of Particle Swarm Optimization and Genetic Algorithm have been compared to develop a methodology for wiring network diagnosis allowing the detection, localization and characterization of faults. Two complementary... more
ABSTRACT The performances of Particle Swarm Optimization and Genetic Algorithm have been compared to develop a methodology for wiring network diagnosis allowing the detection, localization and characterization of faults. Two complementary steps are addressed. In the first step the direct problem is modeled using RLCG circuit parameters. Then the Finite Difference Time Domain method is used to solve the telegrapher’s equations. This model provides a simple and accurate method to simulate Time Domain Reflectometry responses. In the second step the optimization methods are combined with the wire propagation model to solve the inverse problem and to deduce physical information’s about defects from the reflectometry response. Several configurations are studied in order to demonstrate the applicability of each approach. Further, in order to validate the obtained results for both inversion techniques, they are compared with experimental measurements.
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ABSTRACT Time-domain reflectometry has proven to be one of the best methods for wiring network diagnosis, and it can easily be applied to the detection and localization of defects, while only requiring one access point to the wiring... more
ABSTRACT Time-domain reflectometry has proven to be one of the best methods for wiring network diagnosis, and it can easily be applied to the detection and localization of defects, while only requiring one access point to the wiring network. In this article, a novel approach combining the time-domain reflectometry response extracted from vector network analyzer measurements and the teaching–learning-based optimization technique is developed and applied to the diagnosis of wiring networks. The proposed approach consists of two steps. In the first step, propagation along the cables is modeled using the forward model. In the second step, teaching–learning-based optimization is used to solve the inverse problem to deduce physical information about the defects in the wiring network. The proposed approach has been successfully tested on several cases and for different configurations. Comparisons of the proposed time-domain reflectometry/teaching–learning-based optimization approach results with measurements reveal that this approach has a high potential and is very effective for wiring network diagnosis.
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Resource optimization is a major factor in the assessment of the effectiveness of renewable energy systems. Various methods have been utilized by different researchers in planning and sizing the grid-connected PV systems. This paper... more
Resource optimization is a major factor in the assessment of the effectiveness of renewable energy systems. Various methods have been utilized by different researchers in planning and sizing the grid-connected PV systems. This paper analyzes the optimal photovoltaic (PV) array and inverter sizes for a grid-connected PV system. Unmet load, excess electricity, fraction of renewable electricity, net present cost (NPC) and carbon dioxide (CO2) emissions percentage are considered in order to obtain optimal sizing of the grid-connected PV system. An optimum result, with unmet load and excess electricity of 0%, for serving electricity in Makkah, Saudi Arabia is achieved with the PV inverter size ratio of R = 1 with minimized CO2 emissions. However, inverter size can be downsized to 68% of the PV nominal power to reduce the inverter cost, and hence decrease the total NPC of the system.
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Research Interests:
─ The development of a robust and accurate fault diagnosis approach under various system and fault conditions is a research area of great interest. The objective of this paper is to develop a new non-destructive approach for wiring... more
─ The development of a robust and accurate fault diagnosis approach under various system and fault conditions is a research area of great interest. The objective of this paper is to develop a new non-destructive approach for wiring diagnosis based on Time Domain Reflectometry (TDR) in one hand and on Backtracking Search Optimization Algorithm (BSA) in the other hand. Real-world case studies are investigated to demonstrate the effectiveness and robustness of the proposed approach. Simulation results evaluated from experimental data demonstrate that the proposed approach can be used for effective diagnosis of complex wiring networks. Index Terms ─ Backtracking search optimization algorithm, time domain reflectometry, wiring diagnosis.
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In this paper, a new optimization algorithm called motion-encoded electric charged particles optimization (ECPO-ME) is developed to find moving targets using unmanned aerial vehicles (UAV). The algorithm is based on the combination of the... more
In this paper, a new optimization algorithm called motion-encoded electric charged particles optimization (ECPO-ME) is developed to find moving targets using unmanned aerial vehicles (UAV). The algorithm is based on the combination of the ECPO (i.e., the base algorithm) with the ME mechanism. This study is directly applicable to a real-world scenario, for instance the movement of a misplaced animal can be detected and subsequently its location can be transmitted to its caretaker. Using Bayesian theory, finding the location of a moving target is formulated as an optimization problem wherein the objective function is to maximize the probability of detecting the target. In the proposed ECPO-ME algorithm, the search trajectory is encoded as a series of UAV motion paths. These paths evolve in each iteration of the ECPO-ME algorithm. The performance of the algorithm is tested for six different scenarios with different characteristics. A statistical analysis is carried out to compare the r...
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An Enhanced version of the Salp Swarm Algorithm (SSA) referred to as (ESSA) is proposed in this paper for the optimization design of electromagnetic devices. The ESSA has the same structure as of the SSA with some modifications in order... more
An Enhanced version of the Salp Swarm Algorithm (SSA) referred to as (ESSA) is proposed in this paper for the optimization design of electromagnetic devices. The ESSA has the same structure as of the SSA with some modifications in order to enhance its performance for the optimization design of EMDs. In the ESSA, the leader salp does not move around the best position with a fraction of the distance between the lower and upper bounds as in the SAA; rather, a modified mechanism is used. The performance of the proposed algorithm is tested on the widely used Loney’s solenoid and TEAM Workshop Problem 22 design problems. The obtained results show that the proposed algorithm is much better than the initial one. Furthermore, a comparison with other well-known algorithms revealed that the proposed algorithm is very competitive for the optimization design of electromagnetic devices.
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This paper carries out a comprehensive review on the existing radial distribution test systems available for the power system distribution research area. The information available from this review can be used to establish a database of... more
This paper carries out a comprehensive review on the existing radial distribution test systems available for the power system distribution research area. The information available from this review can be used to establish a database of cases suitable for distribution operation and planning studies. The importance of distribution system, the structure of the system in the grid and the various configurations of the distribution network are provided.
... Monsieur Abderrazek REZZOUG, Professeur à l'université Henri Poincaré de Nancy, qui m'a fait l'honneur de ... Je remercie également Messieurs Abd El-Hadi LATRECHE et Didier TRICHET pour la porte qu'ils m'ont... more
... Monsieur Abderrazek REZZOUG, Professeur à l'université Henri Poincaré de Nancy, qui m'a fait l'honneur de ... Je remercie également Messieurs Abd El-Hadi LATRECHE et Didier TRICHET pour la porte qu'ils m'ont ouverte pour continuer dans la recherche scientifique. ...
... Saudi Arabia 2Electrical Laboratory of Constantine, LEC, Department of Electrical Engineering, Mentouri University — Constantine, Constantine 25000, Algeria 3LAMEL Laboratory, Jijel University, BP 98 Ouled Aissa, Jijel 18000 ... Using... more
... Saudi Arabia 2Electrical Laboratory of Constantine, LEC, Department of Electrical Engineering, Mentouri University — Constantine, Constantine 25000, Algeria 3LAMEL Laboratory, Jijel University, BP 98 Ouled Aissa, Jijel 18000 ... Using the Maxwell relation given as: ( ∂S ∂B ) ...
ABSTRACT In this paper a new nature-inspired metaheuristic algorithm is proposed to solve the optimal power flow problem in a power system. This algorithm is inspired by the black hole phenomenon. A black hole is a region of space-time... more
ABSTRACT In this paper a new nature-inspired metaheuristic algorithm is proposed to solve the optimal power flow problem in a power system. This algorithm is inspired by the black hole phenomenon. A black hole is a region of space-time whose gravitational field is so strong that nothing which enters it, not even light, can escape. The developed approach is called black-hole-based optimization approach. In order to show the effectiveness of the proposed approach, it has been demonstrated on the standard IEEE 30-bus test system for different objectives. Furthermore, in order to demonstrate the scalability and suitability of the proposed approach for large-scale and real power systems, it has been tested on the real Algerian 59-bus power system network. The results obtained are compared with those of other methods reported in the literature. Considering the simplicity of the proposed approach and the quality of the obtained results, this approach seems to be a promising alternative for solving optimal power flow problems.
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... Numerical Optimization of the Torque of a Permanent Magnet Synchronous Coaxial Coupling.Houssem Bouchekara 1 , Jean-Paul Yonnet 1 , Afef Kedous-Lebouc 1 , Cédric Dupuis 1 , Jean-Louis Coulomb 1. (11/05/2008). ... Contributeur : Sylvie... more
... Numerical Optimization of the Torque of a Permanent Magnet Synchronous Coaxial Coupling.Houssem Bouchekara 1 , Jean-Paul Yonnet 1 , Afef Kedous-Lebouc 1 , Cédric Dupuis 1 , Jean-Louis Coulomb 1. (11/05/2008). ... Contributeur : Sylvie Garcia <>. ...
Magnetic refrigeration (MR) is a cooling technology based on the magnetocaloric effect (MCE). It has the potential to replace conventional refrigeration systems. Recent development in magnetic refrigeration technology has encouraged... more
Magnetic refrigeration (MR) is a cooling technology based on the magnetocaloric effect (MCE). It has the potential to replace conventional refrigeration systems. Recent development in magnetic refrigeration technology has encouraged researchers all over the world to think about some new original systems. This paper aims to describe a new magnetic refrigeration structure based on a rotating bar shaped configuration.
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ABSTRACT The study of Electromagnetics is required in most electrical engineering graduate and undergraduate curricula. Traditional methods for teaching Electromagnetics are abstract, theoretical and filled with infinite number of... more
ABSTRACT The study of Electromagnetics is required in most electrical engineering graduate and undergraduate curricula. Traditional methods for teaching Electromagnetics are abstract, theoretical and filled with infinite number of mathematical equations. Thus, they are not anymore appropriate. The solution is to provide to both professors and students an interactive software with a simplified graphic interface to best teach and learn fundamentals of Electromagnetism. Interactive resources have demonstrated that they were attractive and encouraged the students to be active and autonomous. The aim of this work is to present such software called EMSoft. It uses the calculation functions of Matlab, combined with the powerful graphical user interfaces of Java.
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ABSTRACT This paper presents the design, the analysis and the optimization of a permanent magnet coupling with 8 magnetic poles. Numerical finite element method was used for the electromagnetic study. A numerical optimization was carried... more
ABSTRACT This paper presents the design, the analysis and the optimization of a permanent magnet coupling with 8 magnetic poles. Numerical finite element method was used for the electromagnetic study. A numerical optimization was carried out. The coupling was built and connected to a magnetic refrigeration prototype in order to offset its torque.