Papers by Ahmed NAIT-SIDI-MOH
Electric Power Systems Research, May 1, 2017
Electric vehicle (EV) is an advanced solution by car manufacturers to gradually replace the conve... more Electric vehicle (EV) is an advanced solution by car manufacturers to gradually replace the conventional vehicle and reduce our dependence on petroleum. Nevertheless, an EV need many hours for a full charge, and reducing charging time and energy consumption of EVs are among the major challenges for promoting this type of vehicles. Disturbed traffic conditions such as traffic jam, roads with sever slopes may affect seriously the energy consumption and then the performances of EVs. In this paper, scheduling and suitable assignment of EVs to charging stations (CSs) is approached as an optimization problem, formulated as linear programming problem. The assignment of EVs should satisfy certain constraints related to CSs status, the EV conditions, traffic conditions, etc. The proposed approach will be illustrated considering two operating modes of the system. The assignment of EVs to CSs under normal conditions (driving without using electrical accessories, roads without slops and traffic jam, etc.), and under disturbed conditions for the second mode. For this first scenario, the two main components of the system are supposed to be homogeneous (EVs have the same characteristics, and the same for CSs). For the second scenario, we focus on a charging system with heterogeneous components. As we will show, the suitable assignment of an EV is when the state of charge (SoC) of its battery remains at its highest possible level at the destination (assigned CS). Keeping the battery SoC at a high level allows to reduce consumed energy and required charging time, and consequently ensures a flexibility in the management of system charging.
Zenodo (CERN European Organization for Nuclear Research), 2015
Batteries of electric vehicles (BEV) are becoming more attractive with the advancement of new bat... more Batteries of electric vehicles (BEV) are becoming more attractive with the advancement of new battery technologies and promotion of electric vehicles. BEV batteries are recharged on board vehicles using either the grid (G2V for Grid to Vehicle) or renewable energies in a stand-alone application (H2V for Home to Vehicle). This paper deals with the modeling, sizing and control of a photovoltaic stand-alone application that can charge the BEV at home. The modeling approach and developed mathematical models describing the system components are detailed. Simulation and experimental results are presented and commented.
Procedia Computer Science, 2015
Tools usually used until yet to manage flows of goods are mostly based on information systems suc... more Tools usually used until yet to manage flows of goods are mostly based on information systems such as ERP, WMS, APS, TMS, or other legacy systems. The advent of cloud computing (CC) and Internet of Things (IoT) adds the relevant information and events capture issue, transfer, storage, processing and sharing. Also, for a better collaboration and interoperability enhancement in supply chain, it is interesting to notify automatically each event related to logistic flows to involved actors. In order to remedy to these issues, we propose in this paper the architecture of a collaborative platform based on advanced technologies related to IoT, CC, GPS/GPRS and RFID for positioning, identification, communication, tracking and data sharing.
Computing and informatics, 2022
Institution of Engineering and Technology eBooks, Apr 4, 2016
A wireless ad-hoc network is a decentralized type of wireless network, where communication does n... more A wireless ad-hoc network is a decentralized type of wireless network, where communication does not rely on a pre-existing infrastructure, such as routers in wired networks or access points in infrastructure-based wireless networks. Ad-hoc communications are present in wireless sensor networks (WSNs), mobile ad-hoc networks (MANETs) and vehicular ad-hoc networks (VANETs). Recently, wireless nano sensor networks (WNSNs) have emerged as a typical subclass of WSN, but at the nanometer scale. The vision of WNSN could achieve the functionality and performance of today's WSN with the exception that node size is measured in nanometers and up to hundreds or thousands of nanometers physically separate channels. In addition, nodes are assumed to be mobile and rapidly deployable. In this chapter, we survey existing wireless ad-hoc communication mechanisms and their applications. We then focus on WNSN and its applications in system-on-chip together with some preliminary results.
Procedia Computer Science
Computing and Informatics
The identification of tumorous tissues in the brain based on Magnetic Resonance Images (MRI) anal... more The identification of tumorous tissues in the brain based on Magnetic Resonance Images (MRI) analysis is a challenging and time consuming task that highly depends on radiologists expertise. As prompt diagnosis of tumors can often be inherent to the patient's survival, it is however crucial to decrease the amount of time spent on the manual analysis of MRI while increasing the accuracy of the detection process. To tackle these issues, many research works have already investigated efficient computer vision systems. They offer new opportunities to assist health care providers in the establishment of fast and more accurate tumor detection, classification and segmentation. However, often based on deep learning methods, the development and tuning of these solutions remains time and energy consuming while inducing a lack of explainability in the decision making system. In this study, we respond to these issues by solving a brain tumor detection task using the Selective Search (SS) algorithm coupled with a simplified Pulse-Coupled Neural Network (PCNN) for visual feature extraction and detection validation. The per-254 B. Niepceron, F. Grassia, A. Nait Sidi Moh formed experiments showed promising results in terms of computational cost and detection accuracy. This leads to the development of a lightweight brain tumor detection system.
Computing and Informatics
This paper deals with the home health care service (HHCS) which is defined as a set of medical, p... more This paper deals with the home health care service (HHCS) which is defined as a set of medical, paramedical and social services delivered to patients in their domicile rather than in hospital. To support decision making in HHC, optimization models have been used. However, several of those models are deterministic and do not address the dynamical and uncertainty aspects of the system and variability of some patient data. The HHC scheduling problems are facing more and more complex and specific constraints. These constraints have to be respected, meanwhile the problem objective is optimized under parameters uncertainties. This paper aims to Optimization Approaches for Health Care 289 formulate a model that integrated home care scheduling problem while taking into account human aspect-the behavior of patients, and also another aspect like travel time uncertainty and dynamic behavior of involved medical team and social actors in HHC. Robust approaches are adopted to model and handle this uncertainty.
Springer eBooks, Sep 1, 2022
Computing and Informatics
Medical image analysis has brought a particular interest amongst researchers over the last few ye... more Medical image analysis has brought a particular interest amongst researchers over the last few years as it exposes challenges to improve the way we diagnose and treat illnesses and diseases. The wide variety of shapes and locations brain tumors can take make diagnoses difficult to establish and automate. Continuously offering more accuracy, Artificial Neural Networks have been widely studied and successfully adapted to solve medical image processing tasks. However, they suffer from their significant memory and energy cost as well as a high dependency to powerful devices, preventing their realistic deployment in the medical field. A recent growth of interest for Spiking Neural Networks (SNN) is leading to the development of faster, lighter and power efficient models proven to tackle the aforementioned challenges in cognitive tasks such as object recognition, speech recognition, image classification and segmentation. In this work, we present the implementation of a single trainable la...
SSRN Electronic Journal, 2022
2018 Renewable Energies, Power Systems & Green Inclusive Economy (REPS-GIE), 2018
The present study examines the performance of a magnetic pulse generator and the procedure of ass... more The present study examines the performance of a magnetic pulse generator and the procedure of assembling metal pieces of dissimilar materials. The welding is done by superposing two concentric tubes without contact with the tool coil and by producing current pulses of 100 kA. A magnetic pressure, also known as the Maxwell pressure, acts radially on the surface of the outer tube allowing joining the two tubes. In this study, we provide the electrical scheme of the generator. Then, for welding application, a massive coil of one single turn is applied. In order to minimize the weakness of the welding operation, we proved the utility of a single-turn coil instead of a multi-turn one. Experimental tests were carried out to measure and analyze the current pulse produced by the coil. First, without joining operation (absence of tubes inside the coil), then with the tubes welding. Through these two cases, the variation of the current pulse and the resonance frequency in terms of the tubes thickness is analyzed and reported.
Computer Communications, 2021
CIRP Journal of Manufacturing Science and Technology, 2020
To do so, we used an analytical method based on mutual inductance and mutual force between two ci... more To do so, we used an analytical method based on mutual inductance and mutual force between two circular coils. This crimping process is employed on conductive materials considered as work-pieces. For different voltages, we developed an analytical model for two circular coils corresponding to the inductance of the coil attached to RLC circuit, and the tube inductance. The magnetic density into the work-piece, the Lorentz force and the magnetic pressure on the tube are evaluated. Obtained results from experimental measurements and simulation are promising.
Transportmetrica A: Transport Science, 2018
This paper deals with the modeling, analysis, performance evaluation and control of urban bus net... more This paper deals with the modeling, analysis, performance evaluation and control of urban bus networks characterized by conflicts, synchronization and concurrency using two complementary formalism Petri nets (PN) and dioid algebra. We mainly focused on conflicts and resource sharing resolution using some routing functions in order to evaluate some passengers metrics within various stations of the bus network. More precisely, we evaluate arrival, boarding, disembarking and waiting times of each passenger at any network station. As a second contribution of this paper, we study through the developed models the influence of the limited capacity of the buses on passengers travel time. The objective is to find an optimal threshold from which the buses capacity has no longer impact on passengers waiting time. Finally, we propose a control approach enabling to determine a compromise between the capacity and number of buses to use on the network in order to minimize both waiting time of passengers and transportation company costs by using buses with suitable capacities especially in peak periods. An illustrative example is given to show the applicability of the proposed approach and the obtained results are promising.
Electric Power Systems Research, 2017
Electric vehicle (EV) is an advanced solution by car manufacturers to gradually replace the conve... more Electric vehicle (EV) is an advanced solution by car manufacturers to gradually replace the conventional vehicle and reduce our dependence on petroleum. Nevertheless, an EV need many hours for a full charge, and reducing charging time and energy consumption of EVs are among the major challenges for promoting this type of vehicles. Disturbed traffic conditions such as traffic jam, roads with sever slopes may affect seriously the energy consumption and then the performances of EVs. In this paper, scheduling and suitable assignment of EVs to charging stations (CSs) is approached as an optimization problem, formulated as linear programming problem. The assignment of EVs should satisfy certain constraints related to CSs status, the EV conditions, traffic conditions, etc. The proposed approach will be illustrated considering two operating modes of the system. The assignment of EVs to CSs under normal conditions (driving without using electrical accessories, roads without slops and traffic jam, etc.), and under disturbed conditions for the second mode. For this first scenario, the two main components of the system are supposed to be homogeneous (EVs have the same characteristics, and the same for CSs). For the second scenario, we focus on a charging system with heterogeneous components. As we will show, the suitable assignment of an EV is when the state of charge (SoC) of its battery remains at its highest possible level at the destination (assigned CS). Keeping the battery SoC at a high level allows to reduce consumed energy and required charging time, and consequently ensures a flexibility in the management of system charging.
Personal and Ubiquitous Computing, 2017
In this paper, we address the recurring problem of node redundancy in Wireless Sensor Networks (W... more In this paper, we address the recurring problem of node redundancy in Wireless Sensor Networks (WSNs). In addition to categorizing redundancy into different types, comprehensively formulating and representing redundancy as a dynamic matter as well as estimating it with a new analytical method, we propose an approach where sensors are competing for the identification and relocation of redundant sensors. In our approach, sensors with low redundancy weights force neighboring peers with high redundancy weights to relocate or go to sleep according to a bully strategy. To increase their chances of winning their individual competitions (also called micro competition), redundant sensors are allowed to use the support of close peers belonging to the same cluster, leading thereby to a macro competition. We extend our solutions to the scenario of charging electrical vehicles in a Smart City context. We, indeed, found that the charging stations, with their varying capabilities and schedules, are competing to provide redundant charging services to the moving electrical vehicles in a scenario very similar to sensor redundancy. Our aim is then to identify the extent of service redundancy to ultimately provide the right charging service, at the right location, at the right time, to the right electrical vehicle. We, therefore, mainly focus on proposing a mathematical formal model reflecting the competition of charging stations to support the requests of electrical vehicles. Our ongoing simulations with the ns3 tool are showing promising results.
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Papers by Ahmed NAIT-SIDI-MOH