<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Aouadj, M</style></author><author><style face="normal" font="default" size="100%">Sellami, D</style></author><author><style face="normal" font="default" size="100%">F Naceri</style></author><author><style face="normal" font="default" size="100%">S Aissi</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Analysis of wireless data transmission for the site survey of telemetry systems projects</style></title><secondary-title><style face="normal" font="default" size="100%">Abu Dhabi International Petroleum Exhibition &amp; Conference</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><publisher><style face="normal" font="default" size="100%">OnePetro</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Karim Ferroudji</style></author><author><style face="normal" font="default" size="100%">Nabil Benoudjit</style></author><author><style face="normal" font="default" size="100%">Ayache Bouakaz</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An automated microemboli detection and classification system using backscatter RF signals and differential evolution</style></title><secondary-title><style face="normal" font="default" size="100%">Australasian physical &amp; engineering sciences in medicine</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><volume><style face="normal" font="default" size="100%">40</style></volume><pages><style face="normal" font="default" size="100%">85-99</style></pages><isbn><style face="normal" font="default" size="100%">1879-5447</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Riad Saidi</style></author><author><style face="normal" font="default" size="100%">Lamir Saidi</style></author><author><style face="normal" font="default" size="100%">el abidine Regai, Zine</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Contribution to the performance of mobile radio systems by optimizing the Okumura Hata model by linear regression: Application to the city of Annaba in Algeria</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal on Electrical Engineering and Informatics</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><publisher><style face="normal" font="default" size="100%">School of Electrical Engineering and Informatics, Bandung Institute of …</style></publisher><volume><style face="normal" font="default" size="100%">9</style></volume><pages><style face="normal" font="default" size="100%">677-689</style></pages><isbn><style face="normal" font="default" size="100%">2085-6830</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">4</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Fateh Bouguerra</style></author><author><style face="normal" font="default" size="100%">Benacer, Imad</style></author><author><style face="normal" font="default" size="100%">Lamir Saidi</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">MLP and RBF symbol tracking with 16 QAM modulation over multipath distorted channel</style></title><secondary-title><style face="normal" font="default" size="100%">2017 International Conference on Advanced Systems and Electric Technologies (IC_ASET)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pages><style face="normal" font="default" size="100%">182-187</style></pages><isbn><style face="normal" font="default" size="100%">1509066349</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Yousfi Abderrahim</style></author><author><style face="normal" font="default" size="100%">Dibi Zohir</style></author><author><style face="normal" font="default" size="100%">Mawloud, Guermoui</style></author><author><style face="normal" font="default" size="100%">Aissi  Salim</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Modeling and Simulation of Double Gate Field Plate In_ (0.2) Ga_ (0.8) As/Al_ (0.3) Ga_ (0.7) as HEMT using Gaussian Process Regression for Sensor Application</style></title><secondary-title><style face="normal" font="default" size="100%">Research Journal of Applied Sciences, Engineering and Technology</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><publisher><style face="normal" font="default" size="100%">Maxwell Science Publishing</style></publisher><volume><style face="normal" font="default" size="100%">14</style></volume><pages><style face="normal" font="default" size="100%">112-118</style></pages><isbn><style face="normal" font="default" size="100%">2040-7467</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">3</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">El Mehdi Belkacem, RIADH</style></author><author><style face="normal" font="default" size="100%">Redha Benzid</style></author><author><style face="normal" font="default" size="100%">Noureddine Bouguechal</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Multilevel inverter with optimal THD through the firefly algorithm</style></title><secondary-title><style face="normal" font="default" size="100%">Archives of Electrical Engineering</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><volume><style face="normal" font="default" size="100%">66</style></volume><isbn><style face="normal" font="default" size="100%">1427-4221</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Nadjib Zerrouki</style></author><author><style face="normal" font="default" size="100%">Noureddine Goléa</style></author><author><style face="normal" font="default" size="100%">Nabil Benoudjit</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Particle Swarm Optimization of Non Uniform Rational B-Splines for Robot Manipulators Path Planning</style></title><secondary-title><style face="normal" font="default" size="100%">Periodica Polytechnica Electrical Engineering and Computer Science</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><volume><style face="normal" font="default" size="100%">61</style></volume><pages><style face="normal" font="default" size="100%">337-349</style></pages><isbn><style face="normal" font="default" size="100%">2064-5279</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">4</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ali MEDJGHOU</style></author><author><style face="normal" font="default" size="100%">Mouna GHANAI</style></author><author><style face="normal" font="default" size="100%">Kheireddine CHAFAA</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Robust Feedback Linearization Control Framework Using an Optimized Extended Kalman Filter.</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Engineering Science &amp; Technology Review</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><volume><style face="normal" font="default" size="100%">10</style></volume><isbn><style face="normal" font="default" size="100%">1791-2377</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">5</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Abdelghani Tafsast</style></author><author><style face="normal" font="default" size="100%">Mohamed Laid Hadjili</style></author><author><style face="normal" font="default" size="100%">Ayache Bouakaz</style></author><author><style face="normal" font="default" size="100%">Nabil Benoudjit</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Unsupervised cluster-based method for segmenting biological tumour volume of laryngeal tumours in 18 F-FDG-PET images</style></title><secondary-title><style face="normal" font="default" size="100%">IET Image Processing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><publisher><style face="normal" font="default" size="100%">IET</style></publisher><volume><style face="normal" font="default" size="100%">11</style></volume><pages><style face="normal" font="default" size="100%">389-396</style></pages><isbn><style face="normal" font="default" size="100%">1751-9659</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">6</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Abdelghani Tafsast</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Analyse d&amp;#39;image médicale par des méthodes de regroupements : Application en cancérologie</style></title><secondary-title><style face="normal" font="default" size="100%">Electronique</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Doctorat 3ème cycle LMD</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Karim Ferroudji</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Particle characterization by ultrasound using artificial intelligence methods</style></title><secondary-title><style face="normal" font="default" size="100%">Electronique</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Doctorat</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Fateh Bouguerra</style></author><author><style face="normal" font="default" size="100%">I Benacer</style></author><author><style face="normal" font="default" size="100%">Lamir Saidi</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">MLP and RBF Symbol Tracking with 16 QAM Modulation Over Multipath Distorted Channel</style></title><secondary-title><style face="normal" font="default" size="100%">International Conference on Advanced Systems and Electric Technologies (IC_ASET), January 14-17</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><pub-location><style face="normal" font="default" size="100%">Hammamet - Tunisia</style></pub-location><pages><style face="normal" font="default" size="100%">182-187</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Fateh Bouguerra</style></author><author><style face="normal" font="default" size="100%">I Benacer</style></author><author><style face="normal" font="default" size="100%">Lamir Saidi</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">MLP and RBF Symbol Tracking with 16 QAM Modulation Over Multipath Distorted Channel</style></title><secondary-title><style face="normal" font="default" size="100%">International Conference on Advanced Systems and Electrical Technologies, (IC-ASET'2017) 14-17 January </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><pub-location><style face="normal" font="default" size="100%"> Hammamet, Tunisia</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Riadh-El-Mehdi Belkacem</style></author><author><style face="normal" font="default" size="100%">Redha Benzid</style></author><author><style face="normal" font="default" size="100%">Noureddine Bouguechal</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Multilevel inverter with optimal THD through the firefly algorithm</style></title><secondary-title><style face="normal" font="default" size="100%"> Archives of Electrical Engineering</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><volume><style face="normal" font="default" size="100%">66</style></volume><pages><style face="normal" font="default" size="100%">141–154</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p style=&quot;text-align: justify;&quot;&gt;
	Reduction of the Total Harmonic Distortion (THD) in multilevel inverters requires resolution of complex nonlinear transcendental equations; in this paper we propose a combination of one of the best existing optimized hardware structures with the recent firefly algorithm, which was used to optimize the THD, through finding the best switching angles and guaranteeing the minimization of harmonics within a user defined bandwidth. The obtained THD through the simulation of the thirteen-level symmetric inverter has been reduced down to 5% (FFT of 60 harmonics). In order to validate the simulation results, a thirteen-level symmetric inverter prototype has been made, and practically experimented and tested with different loads. Consequently, the measured THD with resistive load was 4.7% on a bandwidth of 3 kHz. The main advantage of the achieved work is the reduction of the THD.
&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ali MEDJGHOU</style></author><author><style face="normal" font="default" size="100%">Mouna GHANAI</style></author><author><style face="normal" font="default" size="100%">Kheireddine CHAFAAA</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Robust Feedback Linearization Control Framework Using an Optimized Extended Kalman Filter</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Engineering Science and Technology Review</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><volume><style face="normal" font="default" size="100%">10</style></volume><pages><style face="normal" font="default" size="100%">1-16</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p style=&quot;text-align: justify;&quot;&gt;
	A robust nonlinear controller based on an improved feedback linearization technique with state observer is developed for a class of nonlinear systems with uncertainties and external disturbances. First, by combining classical feedback linearization approach with a discontinuous control and a fuzzy logic system, we design and study a robust controller for uncertain nonlinear systems. Second, we propose an optimized extended Kalman filter (EKF) for the observation of the states. The parameters to be optimized are the covariance matrices Q and R, which play an important role in the EKF performances. The particle swarm optimization algorithm insures this optimization. Lyapunov synthesis approach is used to prove the stability of the whole control loop. The proposed approach is applied on a two-link robot system under Matlab environment. Simulation results have confirmed the effectiveness of the proposed approach against uncertainties and external disturbances; and exhibited a more superior performance than the non-improved control actions.
&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">5</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Karim Ferroudji</style></author><author><style face="normal" font="default" size="100%">Nabil Benoudjit</style></author><author><style face="normal" font="default" size="100%">Ayache Bouakaz</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An Automated Microemboli Detection and Classification System using Backscatter RF Signals and Differential Evolution</style></title><secondary-title><style face="normal" font="default" size="100%">Australasian Physical &amp; Engineering Sciences in Medicine</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><volume><style face="normal" font="default" size="100%">40</style></volume><pages><style face="normal" font="default" size="100%">85-99</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Nadjib Zerrouki</style></author><author><style face="normal" font="default" size="100%">Noureddine Goléa</style></author><author><style face="normal" font="default" size="100%">Nabil Benoudjit</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Particle Swarm Optimization of Non Uniform Rational B-Splines for Robot Manipulators Path Planning</style></title><secondary-title><style face="normal" font="default" size="100%">Periodica Polytechnica Electrical Engineering and Computer Science </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><volume><style face="normal" font="default" size="100%">61</style></volume><pages><style face="normal" font="default" size="100%">337-349</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p style=&quot;text-align: justify;&quot;&gt;
	The path-planning problem is commonly formulated to handle the obstacle avoidance constraints. This problem becomes more complicated when further restrictions are added. It often requires efficient algorithms to be solved. In this paper, a new approach is proposed where the path is described by means of Non Uniform Rational B-Splines (NURBS for short) with more additional constraints. An evolutionary technique called Particle Swarm Optimization (PSO) with three options of particles velocity updating offering three alternatives namely the PSO with inertia weight (PSO-W), the constriction factor PSO (PSO-C) and the combination of the two(PSO-WC); are used to optimize the weights of the control points that serve as parameters of the algorithm describing the path. Simulation results show how the mixture of the first two options produces a powerful algorithm, specifically (PSO-WC), in producing a compromise between fast convergence and large number of potential solution. In addition, the whole approach seems to be flexible, powerful and useful for the generation of successful smooth trajectories for robot manipulator which are independent from environment conditions.
&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">4</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Riad Saidi</style></author><author><style face="normal" font="default" size="100%">Lamir Saidi</style></author><author><style face="normal" font="default" size="100%">Zine-el-abidine Regai</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Contribution to the performance of mobile radio systems by optimizing the Okumura Hata model by linear regression: Application to the city of Annaba in Algeria</style></title><secondary-title><style face="normal" font="default" size="100%"> International Journal on Electrical Engineering and Informatics</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><volume><style face="normal" font="default" size="100%">9</style></volume><pages><style face="normal" font="default" size="100%">677-689</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p style=&quot;text-align: justify;&quot;&gt;
	The study of propagation characteristics is a fundamental step in mobile radio engineering; which is intended to achieve maximum performance for a mobile radio system. To do this, the propagation models are essential tools for this study such as the evaluation of the signal strength received by a mobile terminal, the evaluation of coverage radii and deduce the number of cells needed to cover a given area, such as radio planning, which in turn is the step that aims to estimate the necessary equipment and configurations of the radio interface. In this work we adopt the standard K factor model and OKUMURA HATA model to demonstrate a propagation model adapted to the physical environment of the city of Annaba in Algeria using a linear regression algorithm based on the ordinary least squares method. Radio measurements were carried out on the CDMA network of operator Mobilis. The calculation of the square root of the mean square error between the actual data and the radio measurements and the prediction data derived from the model implemented allowing the validation of the results obtained. A comparative study between the value of the RMSE obtained by the new model and those obtained by the models K standard factors and the model of OKUMURA HATA allows us to conclude that the new model is better adapted to our local environment than that of OKUMURA HATA. The new model obtained can help increase the performance of mobile radio systems deployed in our territory. © 2017, School of Electrical Engineering and Informatics. All rights reserved.
&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">4</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Fawzi Srairi</style></author><author><style face="normal" font="default" size="100%">Lamir Saidi</style></author><author><style face="normal" font="default" size="100%">Abdelouahab Hassam</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">F. SRAIRI, L. SAIDI, A. HASSAMModeling Control and Optimization of a New Swimming Microrobot Using Flatness-Fuzzy-Based Approach for Medical Applications</style></title><secondary-title><style face="normal" font="default" size="100%">Arabian Journal for Science and Engineering</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><volume><style face="normal" font="default" size="100%">9</style></volume><pages><style face="normal" font="default" size="100%">3249–3258</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p style=&quot;text-align: justify;&quot;&gt;
	Recently, researches in the interventional microrobots have taken the lion’s share in the field of biomedical devices. The aim of biomedical microrobots is to reach inaccessible areas of the human body and deliver drugs in high position. This work presents a new approach to elaborate a new physics-based model for novel self-propelled swimming microrobots. The robot is composed of an ellipsoidal head and hybrid tail that are propelled by a joint polymer metal composite actuator. Green’s function is used to solve the coupled elastic/fluid problems caused by the vibrating hybrid tail in a fluid. This method allowed producing the velocity of microrobot. For the control of the swimming microrobot in hazardous environment, the flatness-fuzzy-based control strategy is developed to eliminate the effect of nonlinear model and to generate the optimal trajectory of flat outputs. The fuzzy technique is aimed to adjust the law control gains in real time for improving the precision of the proposed microrobot in tracking the desired trajectory in fluid. The multi-objectives genetic algorithm is employed to optimize both the reference trajectory and the design parameters in order to enhance the time response and to minimize the dynamic tracking error of the trajectory. To achieve this, a numerical model based on accurate solutions of Navier–Stokes equations is developed. The results of the simulation show that the proposed design with ellipsoidal head gives better performance in comparison with that achieved by the conventional structure.
&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">99</style></issue></record></records></xml>