Mohamed Tabaa

LOS/NLOS Identification based on Stable Distribution Feature Extraction and SVM Classifier for UWB On-body Communications☆

Abstract This paper presents a technique for identifying between both Line-Of-Sight (LOS) and Non-Line-Of-Sight (NLOS) propagation schemes for UWB on-body context. The wireless communications for body area networks have a great attention in the last years especially after the IEEE 802.15.6 standard. We focus in the first to extract only the pertinent information using Stable Distribution compared with statistical techniques, and secondly to classify it using Support Vector Machine (SVM) with as main goal to identify the two LOS and NLOS phenomena. We propose a technique to make the classification easy between LOS and NLOS contexts for UWB on-body communications. All simulations were applied to UWB measurements collected in 9 .

A new WSN transceiver based on DWPT for WBAN applications

Body networks type WBAN (Wireless Body Area Network) are beginning to take a major interest in last years. Generally, modern transmission face three major challenges: energy management for transmission, increase throughput and noise immunity. The use of broadband systems helped answer constraints of modern transmission system, it has questioned the use of complex and cumbersome systems: CDMA and OFDM. This has prompted the search for technical lower layers: physical and MAC. In this paper, we present a new form of communication for WBAN applications based on Discrete Wavelet Packet Transform (DWPT) in transmitter and Inverse Discrete Wavelet Packet Transform (IDWPT) in receiver. We will propose a new form of many-to-one transceiver for medical applications.

A fast and configurable architecture for Discrete Wavelet Packet Transform

Discrete Wavelet Packet Transformation (DWPT) has been gaining much popularity in recent communication systems as a core transmission function, both as signal analysis or denoising technique. This trend is largely due to the mathematical properties of DWPT, and particularly to its excellent locality in the time-frequency domain. Unfortunately, DWPT is also a rather demanding operation. For instance, the much known tree algorithm developed by Mallat requires large amounts of operative and storage resources. In this paper, we are proposing a novel architecture for DWPT, aiming to provide an effective performance trade-off. High throughput is achieved using only a relatively limited amount of hardware, thanks to a clever sharing of hardware resources between the low-pass and high-pass filters in the Mallat-tree algorithm, and an efficient use of the different throughput rates in different places of the architecture. The design has been modeled in VHDL at the RTL level, and synthesized using Altera Quartus II targeting an Altera Cyclone IV FPGA. The architecture is fully configurable at synthesis according to the tree depth (number of tree levels), the order of the filters and the filter coefficient quantization. Furthermore, the tree depth and filters order has little impact (only due to place and route variations) on throughput. The results obtained so far compare favorably to previous works.

A low-cost many-to-one WSN architecture based on UWB-IR and DWPT

The main objective of this research work is to propose a new method of communication adapted to sensor networks for both one-to-many and many-to-one topologies. This type of networks is characterized by its price, its size and its energy consumption. In the last few years, several recent developments concern these networks but rare of them propose a complete and functional architecture. The challenge of this work consists in proposing a new architecture for impulse communication based on the wavelet transform for both generation of pulses and detection of the information. This architecture is adapted to the low throughput short-range applications and is scalable according to the type of use but also the number of sensors.

IWSN Based on DWPT Using an Industrial Noisy Channel for Industry 4.0 Wireless Applications

Wireless Sensor Networks (WSNs) are used in several areas such as medicine, multimedia and industry. For the last one, WSNs are used for monitoring and control of industrial equipment. Nevertheless, requirements in the industrial systems differ from the general WSN requirements due to the complex environment propagation. In this work, performance for an architecture of wide-band industrial wireless sensor network under an industrial noisy channel is proposed. Transciever for IWSN is based on IDWPT and DWPT for transmitter and receiver respectively for multi user applications. A model of industrial noise is described and BER performance are presented compared with AWGN channel.

Comparison Between Artificial Neural Network and Its Combination with Perturb & Observe as a MPPT Control Method of Photovoltaic System

The optimization of the photovoltaic power is crucial for optimal functioning of a photovoltaic system. Several studies have been conducted in recent years developing efficient methods of maximizing the photovoltaic power. Among these methods we distinguish the intelligent control methods based on artificial learning such as artificial neural networks and the classical methods like Perturb & Observe. In this paper we combine between these two distinct methods as a control method of the photovoltaic system, we studied it by testing its ability to face the variation of irradiance.

Simulation and FPGA Implementation of a Ring Oscillator Sensor for Complex System Design

Article history: Received: 10 November 2017 Accepted: 22 January 2018 Online: 30 January 2018 This paper, presents the design of a temperature sensor based on RO (Ring Oscillator) in order to make a thermal study for the detection and localization of thermal peaks in a complex system. In this work, a simulation and FPGA implementation of a fully digital temperature sensor features a number of exact inverters that can be dynamically inserted. Before the transition to the implementation in FPGA board, the use of VHDL code is necessary to describe the exact number of inverters that form a single ring oscillator, in order to verify and validate the results obtained. This paper offers a solution to thermally induced stress and local overheating in complex system design which has been a major concern for the designers during the design of integrated circuit. In this paper a DE1 FPGA board cyclone V family 5CSEMA5F31C6 is used for the implementation.

Hybrid renewable energy installation for research and innovation: Case of Casablanca city in Morocco

during the last few years, renewable energy and sustainable development were at the center of interest of many African countries especially Morocco through its Moroccan Agency for solar energy (MASEN). Up to date, the latter has been managing all energy projects including the most important one: ‘The Moroccan project of Solar Energy’. Its main goal is producing a total capacity of 2000 MW of electricity totally issued from solar energy by 2020. In the same perspective, the research laboratory LPRI based at Moroccan School of Engineering Sciences (EMSI - Casablanca) installed in Casablanca a hybrid platform for validating models, testing and monitoring consisting of two wind turbines and two photovoltaic plants. The platform helps not only our students to better understand the energy process (from generation to production), but also researchers to validate their models and energy tests. In the present paper, we describe our installation; we detail its components and explain how it works. It should be noted that this is the first and only hybrid energy platform in Casablanca.

Short-term PV power forecasting using Support Vector Regression and local monitoring data

In recent years many research works have study the problem of photovoltaic power forecasting because of its importance to grid management and large-scale PV integration. In order to forecast the Photovoltaic power production in the region of Casablanca Morocco, a simple and reliable model based on Support Vector Regression (SVR) and local monitoring data is proposed in this paper. Three models based on ε-SVR, ν-SVR and LS-SVR are compared using five performance indicators, MAE, MSE, RMSE, R2 and RRMSE (%). The best model shows a good results with an RRMSE of 15.23% and a coefficient of determination R2 = 0.96%.

A novel ultra high speed and configurable discrete wavelet packet transform architecture

This work is dedicated to present a new architecture of Discrete Wavelet Packet Transform (DWPT) implemented in FPGA using a parallel direct FIR () filter. The main target of our architecture is to provide an effective performance trade-off, where it significantly increases the throughput with a restricted amount of hardware. It is smartly connect based on low-pass and high-pass filters in the Mallat-tree algorithm by a clever sharing of the hardware resources. This architecture is fully configurable in synthesis according to parallel degree, the tree depth (number of tree levels), the order of the filters and the filter quantization coefficient. Consequently, the simulation results accelerated to an approximate value of P∗(Frequency). Furthermore, the tree depth and filters order has little impact (only due to place and route variations) on throughput. This architecture was synthesized using Altera Quartus prime lite edition targeting an Altera Cyclone IV — (FPGA) and it was developed in VHDL at RTL level modeling.