CSA2016 CSA2016

The 1st Conference on Electrical Engineering

22-23 April 2019, Algiers, Algeria

Keynote speakers


 Pr. Mérouane DEBBAH, CentraleSupelec, Gif-sur-Yvette, France

 Keynote I: Machine Learning for 5G

     Mobile cellular networks are becoming increasingly complex to manage while classical deployment/optimization techniques are cost-ineffective and thus seen as stopgaps. This is all the more difficult considering the extreme constraints of 5G networks in terms of data rate (more than 10 Gb/s), massive connectivity (more than 1,000,000 devices per Km2), latency (under 1ms) and energy efficiency (a reduction by a factor of 100 with respect to 4G network). Unfortunately, the development of adequate solutions is severely limited by the scarcity of the actual resources (energy, bandwidth and space). Recently, the community has turned to a new resource known as Artificial Intelligence at all layers of the network to exploit the increasing computing power afforded by the improvement in Moore's law in combination with the availability of huge data in 5G networks. This is an important paradigm shift which considers the increasing data flood/huge number of nodes as an opportunity rather than a curse. In this talk, we will discuss through various examples how the recent advances in big data algorithms can provide an efficient framework for the design of Intelligent Networks.

 Pr. Jean-Louis Coutaz, IMEP-LAHC, UMR 5130 CNRS, University Savoie Mont-Blanc, France

  Keynote II: Terahertz science and technology: basics and applications

     The far infrared region of the electromagnetic spectrum, located between the optical and microwaves domains, is difficult to address because of the lack of efficient, reliable and easy-to-use sources, detectors and active devices. This is due to the frequencies, i.e. terahertz (1 THz), of the involved signals: on the optical side, the efficiency of components is weakened by the thermal noise, while on the microwaves side, the response of electronic circuits is limited by RC effects. However, new techniques appeared about 30 years ago and since are continuously progressing, making possible the development of promising applications in various domains like security, medicine, telecoms, environment, etc. In this conference, we will explain the physics of the interaction between light and matter at these frequencies. Then we will present the main sources, detectors and techniques of the THz technology. Finally, we will review some remarkable applications as well as new research trends.

  Dr. Mohamed BECHERIF, Associate Professor, University of Technology of Belfort-Montbéliard, France

  Keynote III: The Green Electricity

     Green Electricity is related to the production of electricity using green and renewable energies like Fuel Cell and hydrogen, PV and wind generators. One sector largely consuming the fossil fuels is the transportation and mobility. Consequently, a huge effort should be done to develop new transportation systems using alternative and renewable energies. We will discuss the use of the Green Electricity in the transportation sector, its challenges, trends, costs and perspective in the near future. This research field is attracting more and more academic researchers as well as industrials to develop, design, test and produce Clean and Green means of transportation. Some case studies will be presented to exchange and discuss about their advantages and disadvantages.

 Pr. Abderrahmane KHEDDAR, CNRS-University of Montpellier LIRMM, France

  Keynote IV: From robotizing human labor to humanzing robotics labor

    My talk first recalls some historical facts and key milestones of the robotic technology by underlining parallelisms and similarities of its evolutions with respect to that of the computers and computer science. I will show and explain the reasons on how and why robotic systems requirements have centered progressively toward human when robotics left progressively the automation field to invade services in various domains. This spreading of the robotic technology gave rise to novel challenging requirements in robotics design and usage that resultedin a deep renewal or robotic systems and impactedon various future societal and economical aspects. Robots are now being democratized and envisioned to not only substantially invade and improve classical service applications, but also be personal home assistants for frail persons. Paradoxically, human-centric robotics is entering back to the automation field renewing the vision of automation and assembliestogether with practices of robots at work in various industries. Recent trends of AI and its application in robotics exhibit the same buzz as twenty years ago. Then, it is legitimate to ask what are the robotic problems we expect to see solved and how? Or, what make recent trends in AI different in essence from years ago. On the more philosophical view, human-centered robotics concerns also the underlying question of “human augmentation”.



 Pr. Camel TANOUGAST, Lorraine University, Metz, France

 FPGA integration of digital Architectures of transmitter and receivers Ultra Wide Band

     ASEC (Architecture des Systèmes embarqués et Capteurs intelligents) team of the LCOMS laboratory is working on the development of architectures for digital communications in the context of intelligent networked sensors (WSN, WBAN) whose optimization is an important task. Modern transmission systems must raise three major challenges as follows - Power consumption optimization required for the transmission; - Throughput increasing; - Noise immunity. To meet these requirements, broadband transmission systems have developed considerably over the last decade. Nevertheless, the modulation and spread spectrum techniques implemented (CDMA, OFDM) use intense processing, which is therefore costly both from an architectural and an energetic point of view. In this context, Ultra-Wide Band impulse techniques are particularly promising: spread spectrum is not an additional processing step but an intrinsic feature of the system. The nature of the transmitted signal confers other advantages such as the possibility of a precise location of the various network nodes. This tutorial presents the architecture design for the modulation and demodulation of pulse form, or spectral modulation, for Ultra-Wide Band impulse transmissions within sensor networks, such as Body Area Network (BAN) useful for measurement physiology parameters human, Structural Health Monitoring (SHM) networks, habitat monitoring and control networks (RCS), and so on. More precisely, this tutorial introduces the FPGA-based digital implementation of wavelet transform and coding techniques to allow simultaneous use of the ultra-wideband channel by multiple users. This tutorial develops ultra broadband impulse transmitter and receiver architectures whose pulses are very short (one nanosecond) and wavelet type that can communicate in very constrained environments. These architectures allow an efficient power consumption, increase the transmission rate, improve the communication simultaneously on the same channel while locating a node very precisely (nearest of centimeter).

 Pr. Zahir ROUABAH, University of Bordj Bou Arreridj, Algeria

 How to improve the efficiency of chalcogenidesolar cells

     Chalcogenide materials are currently considered the most promising absorbing material in thin-film solar cells, where they exhibit an appropriate band gaps well matched to the solar spectrum and because of their very favorable electronic properties that have recently led to solar cell efficiencies surpassing 20% [1-3].Chalcogenides are a large class of second-generation thin-film solar cells, where our focus mainly will be on CIGS, CZTS and cadmium telluride (CdTe) solar cells.In thiswork, we present some ideas to improve the efficiency of CIGS, CZTS and CdTe solar cells using a SCAPS-1 and AMPS-1 simulators,by playing on several parameters such as thickness and doping of different layers, insertion of a new layer and the novel structure. Indeed, simulation is an essential step before the elaboration and characterization of thin-film solar cells.Our study is focused on the simulation of photovoltaic parameters of the thin-film solar cell which are: the short-circuit current density Jsc (mA/cm2), the open circuit voltage Voc (V), the fill factor FF and the conversion efficiency.

 Dr. El Korso Mohammed Nabil, Laboratoire Energétique Mécanique Electromagnétisme (LEME), Université Paris Nanterre, France

 Learning with the Expectation-Maximization Algorithm

     The expectation-maximization approach is an iterative method that aims to find the parameter of interest which maximizes the maximum likelihood objective function with a reduced computational cost. Originally formulated in the seminal work of Arthur Dempster, Nan Laird, and Donald Rubin in 1997, the EM is considered as one of the most fundamental contribution in the statistic field that inspired many researchers. Since then, the EM has been the focus of enormous theoretical advances and applications over the last nearly five decades, and continues to attract much attention in both theoretical aspects and recent applications (e.g., biomedical, communication systems for wireless communication, radar, sonar and array processing, etc.).
     This tutorial will present, first, a mathematically understanding of the EM. Then, an overview of some recent applications will be presented. Specifically, deep Gaussian mixture models learning, structure learning, superimposed signals estimation and probabilistic robust sparse principal component analysis will be considered. Finally, the tutorial ends with the presentation of some recent accelerations and variants of the EM. Through the tutorial, several examples will illustrate the interest of this technique for different signal processing applications such as robust array processing, target classification and very large radio interferometer calibration.