Abdelmalek O.,Grenoble Institute of Technology |
Hely D.,Grenoble Institute of Technology |
Beroulle V.,Grenoble Institute of Technology |
Mezzah I.,Advanced Technologies Development Center
2013 8th IEEE Design and Test Symposium, IDT 2013 | Year: 2013
RFID tags are increasingly used for critical applications within harsh environments (aeronautics.) or for secure applications such as identification. However, such low cost systems, initially designed for non-critical applications with a high volume, are not robust by themselves. This paper presents the architecture and the implementation of an UHF RF Identification (RFID) tag emulation platform with fault injection and real time monitoring capabilities, which can help to validate such IC. © 2013 IEEE.
Alim-Ferhat F.,Advanced Technologies Development Center |
Seddiki S.,Advanced Technologies Development Center |
Hachemi B.,Advanced Technologies Development Center |
Talbi F.,Advanced Technologies Development Center
Proceedings - 2014 International Conference on Mathematics and Computers in Sciences and in Industry, MCSI 2014 | Year: 2014
This paper presents the implementation of curve on FPGA circuit (Field Programmable Gate Array) Spartan 3 of Xilinx, it based on Taylor approximation by segment, used third order polynomial in order to reduce the maximum error. First of all, we have stocked all coefficients, computing with Mat lab tool, in the block memory. After that, an architecture is proposed and implemented under ISE9.2i environment (Integrated Software Environment) of Xilinx for a description, and Mentor Graphics Model Sim XEIII 6.3c for a simulation. © 2014 IEEE.
Boudoua S.,Advanced Technologies Development Center |
Hamerlain F.,Advanced Technologies Development Center |
Hamerlain M.,Advanced Technologies Development Center
Proceedings of the International Joint Conference on Neural Networks | Year: 2010
We are concerned with the control of a 3-DOF robot arm actuated by pneumatic rubber muscles. The system is highly non-linear and somehow difficult to model therefore resorting to robust control is required. In order to alleviate the effects of nonlinearities and uncertainties, a combined control strategy based on neural network (NN) and the concept of sliding mode control (SMC) is proposed systematically. In this control structure a simple "two-layer" feedforward neural network (NN) with on line adaptive learning laws is used to estimate unknown plant dynamics and chattering phenomenon in conventional SMC is eliminated by incorporated a modified corrective control term. The algorithm is derived from Lyapunov stability analysis, so that both system tracking stability and error convergence can be guaranteed in the closed-loop system. Experimental results are presented and discussed. © 2010 IEEE.
Chenouf A.,Advanced Technologies Development Center |
Djezzar B.,Advanced Technologies Development Center |
Benabedelmoumene A.,Advanced Technologies Development Center |
Tahi H.,Advanced Technologies Development Center
IEEE International Integrated Reliability Workshop Final Report | Year: 2012
In this paper, an experimental investigation of negative bias temperature instability (NBTI) impact on CMOS inverter circuit is presented. The study focuses on the contribution of NBTI induced PMOS Vth shift on the degradation of the circuit DC features. This investigation was conducted in order to understand the origin of performance shifts due to NBTI at the circuit level and to properly predict the lifetime of the inverter circuit. The experimental setup was based on a measure/stress/measure procedure, where a series of negative gate voltages at different temperatures were applied via an automated test bench to the circuit under test. The results we obtained show, on one side, the CMOS inverter voltage transfer curve (VTC) shifts under NBTI stress to the left side, as predicted by the theory. This shift implies a shift of the critical logic voltages of the inverter. On the other side, the analysis of the logic threshold shift with respect to the inverter's PMOS threshold voltage shift shows clearly, and contrary to predicted by theory, that PMOS threshold voltage (Vth) shift does not wholly capture the degradation of the CMOS inverter logic threshold shift. In fact, this later is found to be affected by both PMOS and NMOS Vth shifts. Therefore, it cannot be unconditionally assumed that the effect of NBTI on CMOS circuits could be exclusively predicted by only shifting the PMOS Vth. © 2012 IEEE.
Kheloufi K.,Advanced Technologies Development Center |
Amara E.-H.,Advanced Technologies Development Center
Physics Procedia | Year: 2010
A numerical model describing the diphasic jet of gas/powder issued from a coaxial nozzle used in laser cladding is presented. The model is based on the discrete phase model (DPM), and is applied in the case of turbulent fluid flows with solid dispersed phase. The study concerns the jet geometrical characteristics (the core zone width), and as results, we made evident the importance of the numerical modeling for a better efficiency of laser cladding processing in industrial applications. © 2010 Published by Elsevier B.V.
Alim-Ferhat F.,Advanced Technologies Development Center |
Bessalah H.,Advanced Technologies Development Center |
Seddiki,Advanced Technologies Development Center |
Kerdjidj O.,Advanced Technologies Development Center
Journal of Electrical Engineering | Year: 2013
Medical images present specific characteristics which require to be exploited by an explicit and efficient compression algorithm. The Vector Quantization (VQ) constitutes a crucial stage in lossless Digital images compression where it allows to create a dictionary on the level "block" by a neuronal approach that of Kohonen (Self Organizing Map: SOM) which is widely used in implementation of FPGA circuits for medical image compression applications. This paper is devoted to the implementation of a new combined method based on wavelet transform and neurons network (WT-SOM) and designed for the implementation on FPGA for medical images compression applications. Simulation results show the effectiveness of our proposed method.
Amara E.H.,Advanced Technologies Development Center
Lasers in Engineering | Year: 2011
Deep penetration laser welding is studied at processing speeds leading to the humping phenomenon. Matter melting, vaporization and re-solidification are considered through the implementation of user-defined functions (UDFs) used with a commercial computational fluid dynamics (CFD) Fluent code. The dynamic mesh method implementation allowed us to simulate regular hump formation. © 2011 Old City Publishing, Inc.