Search

Your search keyword '"Centrale Lille"' showing total 5,415 results
Start Over Author "Centrale Lille" Topic business.industry
5,415 results on '"Centrale Lille"'

1. Stochastic local search and parameters recommendation: a case study on flowshop problems

Author

Lucas M. Pavelski, Marie-Eléonore Kessaci, Myriam Regattieri Delgado, Alex A. Freitas, Federal University of Technology - Paraná (UTFPR), Operational Research, Knowledge And Data (ORKAD), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), School of Computing [Kent], and University of Kent [Canterbury]

Subjects
Mathematical optimization, Computer science, business.industry, Management of Technology and Innovation, Strategy and Management, Local search (optimization), [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO], Management Science and Operations Research, Business and International Management, [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM], business, Computer Science Applications
Abstract

International audience

Published
2023

2. Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art

Author

El-Ghazali Talbi, Mehrdad Mohammadi, Patrick Meyer, Maryam Karimi-Mamaghan, Amir Mohammad Karimi-Mamaghan, Optimisation de grande taille et calcul large échelle [BONUS], Equipe DECIDE (Lab-STICC_DECIDE), Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL), Département Logique des Usages, Sciences sociales et Sciences de l'Information (IMT Atlantique - LUSSI), IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), University of Tehran, Université de Lille - UFR des Humanités (Lille UFRH), Université de Lille, Optimisation de grande taille et calcul large échelle (BONUS), Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL], École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), IMT Atlantique (IMT Atlantique), and Université de Lille - Faculté des Humanités (Lille Humanités)

Subjects
Service (systems architecture), Information Systems and Management, General Computer Science, Computer science, media_common.quotation_subject, 0211 other engineering and technologies, Initialization, 02 engineering and technology, Management Science and Operations Research, Machine learning, computer.software_genre, Industrial and Manufacturing Engineering, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Robustness (computer science), Taxonomy (general), 0502 economics and business, [INFO]Computer Science [cs], Quality (business), Metaheuristic, ComputingMilieux_MISCELLANEOUS, media_common, 050210 logistics & transportation, 021103 operations research, business.industry, 05 social sciences, [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO], Modeling and Simulation, Key (cryptography), State (computer science), Artificial intelligence, business, computer
Abstract

International audience; Mixed Integer Linear Programs (MILPs) are usually NP-hard mathematical programming problems, which present difficulties to obtain optimal solutions in a reasonable time for large scale models. Nowadays, metaheuristics are one of the potential tools for solving this type of problems in any context. In this paper, we focus our attention on MILPs in the specific framework of Data Envelopment Analysis (DEA), where the determination of a score of technical efficiency of a set of Decision Making Units (DMUs) is one of the main objectives. In particular, we propose a new hyper-matheuristic grounded on a MILP-based decomposition in which the optimization problem is divided into two hierarchical subproblems. The new approach decomposes the model into discrete and continuous variables, treating each subproblem through different optimization methods. In particular, metaheuristics are used for dealing with the discrete variables, whereas exact methods are used for the set of continuous variables. The metaheuristics use an indirect representation that encodes an incomplete solution for the problem, whereas the exact method is applied to decode the solution and generate a complete solution. The experimental results, based on simulated data in the context of Data Envelopment Analysis, show that the solutions obtained through the new approach outperform those found by solving the problem globally using a metaheuristic method. Finally, regarding the new hyper-matheuristic scheme, the best algorithm selection is found for a set of cooperative metaheuristics ans exact optimization algorithms.

Published
2022

3. Objective Assessment of Covid-19 Severity Affecting the Vocal and Respiratory System Using a Wearable, Autonomous Sound Collar

Author

Georges Nassar, S. Bin, Antoine Abche, H. Aziz, Dany Ishac, Sandrine Matta, Elie Karam, Equipe Thermodynamique Equilibre Phases & Anal Avance (Equipe ThEAA), Université Saint-Esprit de Kaslik (USEK), Hospices Civils de Lyon (HCL), University of Balamand [Liban] (UOB), Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Matériaux et Acoustiques pour MIcro et NAno systèmes intégrés - IEMN (MAMINA - IEMN), INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Renatech Network, University of Balamand - UOB (LIBAN), Institut d’Électronique, de Microélectronique et de Nanotechnologie - Département Opto-Acousto-Électronique - UMR 8520 (IEMN-DOAE), INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), and Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)

Subjects
Decision support system, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), Wearable computer, 02 engineering and technology, 01 natural sciences, General Biochemistry, Genetics and Molecular Biology, Collar, Objective assessment, [SPI]Engineering Sciences [physics], Physical medicine and rehabilitation, 0103 physical sciences, Medicine, 010301 acoustics, Autonomous sound systems, Sound (medical instrument), Mechanical vari- ables measurement, business.industry, Electromechanical sensors, 021001 nanoscience & nanotechnology, 3. Good health, Sound signal processing, Respiratory failure, Modeling and Simulation, Original Article, Objective evaluation, Mechanical variables measurement, Covid-19, 0210 nano-technology, business
Abstract

Introduction Since the outbreak began in January 2020, Covid-19 has affected more than 161 million people worldwide and resulted in about 3.3 million deaths. Despite efforts to detect human infection with the virus as early as possible, the confirmatory test still requires the analysis of sputum or blood with estimated results available within approximately 30 minutes; this may potentially be followed by clinical referral if the patient shows signs of aggravated pneumonia. This work aims to implement a soft collar as a sound device dedicated to the objective evaluation of the pathophysiological state resulting from dysphonia of laryngeal origin or respiratory failure of inflammatory origin, in particular caused by Covid-19. Methods In this study, we exploit the vibrations of waves generated by the vocal and respiratory system of 30 people. A biocompatible acoustic sensor embedded in a soft collar around the neck collects these waves. The collar is also equipped with thermal sensors and a cross-data analysis module in both the temporal and frequency domains (STFT). The optimal coupling conditions and the electrical and dimensional characteristics of the sensors were defined based on a mathematical approach using a matrix formalism. Results The characteristics of the signals in the time domain combined with the quantities obtained from the STFT offer multidimensional information and a decision support tool for determining a pathophysiological state representative of the symptoms explored. The device, tested on 30 people, was able to differentiate patients with mild symptoms from those who had developed acute signs of respiratory failure on a severity scale of 1 to 10. Conclusion With the health constraints imposed by the effects of Covid-19, the heavy organization to be implemented resulting from the flow of diagnostics, tests and clinical management, it was urgent to develop innovative and safe biomedical technologies. This passive listening technique will contribute to the non-invasive assessment and dynamic observation of lesions. Moreover, it merits further examination to provide support for medical operators to improve clinical management. Supplementary Information The online version contains supplementary material available at 10.1007/s12195-021-00712-w.

Published
2021

4. A CNN-based methodology for cow heat analysis from endoscopic images

Author

Agathe Decherf, Dominique Collard, Christophe Audebert, Ruiwen He, Abdelmalik Taleb-Ahmed, Feryal Windal, Halim Benhabiles, Gaël Even, Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Bio-Micro-Electro-Mechanical Systems - IEMN (BIOMEMS - IEMN), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), JUNIA (JUNIA), Université catholique de Lille (UCL), Gènes Diffusion [Douai], Laboratory for Integrated Micro Mechatronics Systems (LIMMS), The University of Tokyo (UTokyo)-Centre National de la Recherche Scientifique (CNRS), COMmunications NUMériques - IEMN (COMNUM - IEMN), INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), This project has been funded by the FEDER European program, JUNIA French Engineering school and Genes Diffusion French company., Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), and Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)

Subjects
Endoscopic image, Computer science, Machine vision, Context (language use), Artificial insemination, 02 engineering and technology, Machine learning, computer.software_genre, 030218 nuclear medicine & medical imaging, Upsampling, [SPI]Engineering Sciences [physics], 03 medical and health sciences, 0302 clinical medicine, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Android (operating system), Quantization (image processing), 2. Zero hunger, business.industry, Response time, Deep learning, Android CNN optimization, Software deployment, Cow heat, 020201 artificial intelligence & image processing, Artificial intelligence, State (computer science), business, computer
Abstract

International audience; In cattle farming, the artificial insemination technique is a biotechnology that brings to farmers a wide range of benefits namely health security, genetic gain and economic costs. The main condition for the success of artificial insemination within cattle is the heat (or estrus) detection. In this context, several cow heat detection systems have been recently proposed in the literature to assist the farmer in this task. Nevertheless, they are mainly based on the analysis of the physical behavior of the cow which may be affected by several factors related to its health and its environment. In this paper, we present a new vision system for cow heat detection which is based on the analysis of the genital tract of the cow. The main core of our system is a CNN model that has been designed and tailored for analyzing endoscopic images collected using an innovative insemination technology named Eye breed. The conducted experiments on two datasets namely our own dataset and a public dataset show the high accuracy of our CNN model (more than 97% for both datasets) outperforming 19 methods from the state of the art. Moreover, we propose an optimized version of our model for an Android deployment by exploiting several techniques namely quantization, GPU acceleration and video downsampling. The conducted tests on a smart-phone shows that our heat detection system has a response time of a few seconds.

Published
2021

5. High Rectification Ratio in Polymer Diode Rectifier through Interface Engineering with Self-Assembled Monolayer

Author

Sébastien Pecqueur, Ramzi Bourguiga, David Guerin, Kamal Lmimouni, Khaoula Ferchichi, Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Nanostructures, nanoComponents & Molecules - IEMN (NCM - IEMN), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Faculté des Sciences de Bizerte [Université de Carthage], Université de Carthage - University of Carthage, Centrale de Micro Nano Fabrication - IEMN (CMNF - IEMN), This research work has been partially undertaken with the support of IEMN fabrication (CMNF) and characterization (PCMP) facilities. We thank the French National Nanofabrication Network RENATECH, and the IEMN cleanroom staff for their support. We also thank CENTEXBEL for the release paper supply., PCMP PCP, Renatech Network, CMNF, and ANR-17-CE24-0013,CONTEXT,Textiles connectés pour les communications autour du corps humain(2017)

Subjects
energy harvesting, Frequency response, Materials science, QA71-90, Equivalent series resistance, business.industry, rectenna, Capacitance, Instruments and machines, P3HT, Rectenna, [SPI]Engineering Sciences [physics], Rectification, organic diode rectifier, self-assembled monolayer, Monolayer, Optoelectronics, flexible, business, Diode, Voltage
Abstract

International audience; In this work, we demonstrate P3HT (poly 3-hexylthiophene) organic rectifier diode both in rigid and flexible substrate with a rectification ratio up to 106. This performance has been achieved through tuning the work function of gold with a self-assembled monolayer of 2,3,4,5,6-pentafluorobenzenethiol (PFBT). The diode fabricated on flexible paper substrate shows a very good electrical stability under bending tests and the frequency response is estimated at more than 20 MHz which is sufficient for radio frequency identification (RFID) applications. It is also shown that the low operating voltage of this diode can be a real advantage for use in a rectenna for energy harvesting systems. Simulations of the diode structure show that it can be used at GSM and Wi-Fi frequencies if the diode capacitance is reduced to a few pF and its series resistance to a few hundred ohms. Under these conditions, the DC voltages generated by the rectenna can reach a value up to 1 V.

Published
2021

6. Ear Recognition Based on Deep Unsupervised Active Learning

Author

Yacine Khaldi, Abdeldjalil Ouahabi, Amir Benzaoui, Abdelmalik Taleb-Ahmed, Sébastien Jacques, Université de Bouira, Imagerie et cerveau (iBrain - Inserm U1253 - UNIV Tours ), Université de Tours (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), U 1016/ UMR 8104 Institut Cochin, Plate-Forme Séquençage et Génomique (Genom'IC), Institut National de la Santé et de la Recherche Médicale (INSERM), Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université Polytechnique Hauts-de-France (UPHF), Université de Tours-Institut National de la Santé et de la Recherche Médicale (INSERM), GREMAN (matériaux, microélectronique, acoustique et nanotechnologies) (GREMAN - UMR 7347), Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), COMmunications NUMériques - IEMN (COMNUM - IEMN), INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), and Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)

Subjects
Scheme (programming language), AMI dataset, Biometrics, Active learning (machine learning), Computer science, Feature extraction, 02 engineering and technology, Machine learning, computer.software_genre, 01 natural sciences, Facial recognition system, USTB2 dataset, Image (mathematics), [SPI]Engineering Sciences [physics], ear recognition, active learning, 0202 electrical engineering, electronic engineering, information engineering, 0101 mathematics, Electrical and Electronic Engineering, Instrumentation, computer.programming_language, AWE dataset, business.industry, 010102 general mathematics, Process (computing), 020206 networking & telecommunications, GAN, ComputingMethodologies_PATTERNRECOGNITION, Knowledge base, Artificial intelligence, business, computer
Abstract

International audience; Cooperative machine learning has many applications, such as data annotation, where an initial model trained with partially labeled data is used to predict labels for unseen data continuously. Predicted labels with a low confidence value are manually revised to allow the model to be retrained with the predicted and revised data. In this paper, we propose an alternative to this approach: an initial training process called Deep Unsupervised Active Learning. Using the proposed training scheme, a classification model can incrementally acquire new knowledge during the testing phase without manual guidance or correction of decision making. The training process consists of two stages: the first stage of supervised training using a classification model, and an unsupervised active learning stage during the test phase. The labels predicted during the test phase, with high confidence, are continuously used to extend the knowledge base of the model. To optimize the proposed method, the model must have a high initial recognition rate. To this end, we exploited the Visual Geometric Group (VGG16) pre-trained model applied to three datasets: Mathematical Image Analysis (AMI), University of Science and Technology Beijing (USTB2), and Annotated Web Ears (AWE). This approach achieved impressive performance that shows a significant improvement in the recognition rate of the USTB2 dataset by coloring its images using a Generative Adversarial Network (GAN). The obtained performances are interesting compared to the current methods: the recognition rates are 100.00%, 98.33%, and 51.25% for the USTB2, AMI, and AWE datasets, respectively.

Published
2021

7. Identification of Ultra High Frequency Acoustic Coda Waves Using Deep Neural Networks

Author

Venu Babu Thati, Nikolay Smagin, Julien Carlier, Hatem Dahmani, Ihsen Alouani, Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Matériaux et Acoustiques pour MIcro et NAno systèmes intégrés - IEMN (MAMINA - IEMN), Institut d’Électronique, de Microélectronique et de Nanotechnologie - Département Opto-Acousto-Électronique - UMR 8520 (IEMN-DOAE), INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université Polytechnique Hauts-de-France (UPHF), COMmunications NUMériques - IEMN (COMNUM - IEMN), The authors would like to thank all the members of the CMNF platform at IEMN, UMR CNRS 8520., Renatech Network, Université catholique de Lille (UCL)-Université catholique de Lille (UCL), INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), and Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)

Subjects
data processing and augmentation, Computer science, Acoustics, Chaotic, 01 natural sciences, Physics::Geophysics, Coda, [SPI]Engineering Sciences [physics], Sensitivity (control systems), Electrical and Electronic Engineering, signal processing, Instrumentation, [PHYS]Physics [physics], Signal processing, Artificial neural network, Coda waves, business.industry, Deep learning, 010401 analytical chemistry, deep neural network, source identification, 0104 chemical sciences, Ultra high frequency, Ultrasonic sensor, Artificial intelligence, business
Abstract

International audience; Due to the multi-path propagation and extreme sensitivity to minor changes in the propagation medium, the coda waves open new fascinating possibilities in the non-destructive evaluation and acoustic imaging. However, their noise-like structure and high spurious sensitivity for ambient conditions (temperature, humidity, and others) make it challenging to perform localized inspection in the overall coda wave evolution. While existing deterministic solutions reach their limit in handling complex data, emerging techniques such as deep learning-based algorithms have shown a promising potential to overcome these limitations. This paper proposes a deep neural network that paves the way to make the complex features of coda waves more handleable to reliably exploit coda waves in several applications even in a changing or unstable environment. Specifically, designed a Coda-Convolutional Neural Network that is able to identify coda waves with 95.65% precision in a silicon chaotic cavity including 5 emitters and 16 receivers using ultra high frequency ultrasonic coda waves.

Published
2021

8. Novel Optical Biosensor Based on a Nano-Gold Coated by Schiff Base Doped in Sol/Gel Matrix for Sensitive Screening of Oncomarker CA-125

Author

Mohammed A. Amin, Ekram Hany Mohamed, Mona N. Abou-Omar, Mohamed S. Attia, Rabah Boukherroub, Hisham G. Afify, Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), NanoBioInterfaces - IEMN (NBI - IEMN), and Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)

Subjects
Detection limit, Materials science, Quenching (fluorescence), business.industry, General Chemical Engineering, Doping, General Chemistry, Fluorescence, Article, Matrix (chemical analysis), Chemistry, [SPI]Engineering Sciences [physics], Colloidal gold, Optoelectronics, Thin film, business, QD1-999, Biosensor
Abstract

International audience; The urge for sensitive, facile, minimally invasive, and fast detection method of CA-125, a significant and crucial biomarker in ovarian malignancy, is currently substantial. This paper describes the detailed construction and characterization of a newly designed optical nano-biosensor to detect CA-125 accurately and sensitively. The fabricated sensor consists of a nano-gold thin film doped into a matrix of sol-gel, exhibiting a centered fluorescence band at 423 nm when excited at 340 nm. The quantification of CA-125 relies on its quenching ability of this fluorescence signal. The sensor was challenged to evaluate its sensitivity and specificity in detecting CA-125 present in samples collected from ovarian cancer diagnosed patients and compared to samples from healthy women as a control. Our findings revealed that the developed biosensor had a sensitivity of 97.35% and a specificity of 94.29%. Additionally, a wide linearity range over 2.0-127.0 U mL-1 for CA-125 was achieved with a detection limit of 1.45 U mL-1. Furthermore, the sensor could successfully discriminate samples between healthy and diseased people, which demonstrates its suitability in CA-125 assessment. © 2021 The Authors. Published by American Chemical Society.

Published
2021

9. mm-Wave Through-Load Element for On-Wafer Measurement Applications

Author

Sylvie Lepilliet, Philippe Ferrari, Loic Vincent, Christophe Gaquiere, Olivier Occello, Emmanuel Pistono, Abdelhalim A. Saadi, Marc Margalef-Rovira, Vanessa Avramovic, Manuel J. Barragan, Sylvain Bourdel, Puissance - IEMN (PUISSANCE - IEMN), Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Laboratoire de Radio-Fréquence et d'Intégration de Circuits (RFIC-Lab ), Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Université Grenoble Alpes (UGA), NXP Semiconductors [France], Plateforme de Caractérisation Multi-Physiques - IEMN (PCMP - IEMN), Centre Interuniversitaire de Micro-Electronique (CIME), Institut National Polytechnique de Grenoble (INPG), Reliable RF and Mixed-signal Systems (TIMA-RMS), Techniques de l'Informatique et de la Microélectronique pour l'Architecture des systèmes intégrés (TIMA), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), PCMP CHOP, European Project: 737454,H2020,H2020-ECSEL-2016-1-RIA-two-stage,TARANTO(2017), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), and Reliable RF and Mixed-signal Systems (RMS )

Subjects
Through-load, transfer-switch millimeter-wave, attenuator, 02 engineering and technology, BiCMOS, law.invention, law, 0202 electrical engineering, electronic engineering, information engineering, Insertion loss, slow-wave, Electrical and Electronic Engineering, Physics, Attenuator (electronics), on-wafer, business.industry, 020208 electrical & electronic engineering, Bandwidth (signal processing), Transistor, Electrical engineering, Transfer switch, 3-dB coupler, [SPI.TRON]Engineering Sciences [physics]/Electronics, Return loss, business, Voltage
Abstract

This paper presents an innovative Through-Load element aimed at characterization applications at mm-wave frequencies. The proposed structure can behave as a Through connection or as a 50- $\Omega $ load depending on a DC control voltage. Among other potential applications, this system can be used to implement a transfer switch or an attenuator. A demonstrator was fabricated and measured in the STM 55-nm BiCMOS technology. Over a wide bandwidth, from 55 GHz up to 170 GHz, experimental measurements demonstrate a maximum 1.6-dB of insertion loss when behaving as a Through connection and a minimum 14-dB of insertion loss when behaving as a 50- $\Omega $ load. In both cases, the return loss is better than 10 dB. The insertion loss at 90 GHz is 0.6 dB for the Through connection and 20 dB for the 50- $\Omega $ load connection.

Published
2021

10. Combining audio and visual displays to highlight temporal and spatial seismic patterns

Author

Piero Poli, Leif Karlstrom, Lapo Boschi, Arthur Paté, A. Barth, Benjamin K. Holtzman, Gaspard Farge, Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Acoustique - IEMN (ACOUSTIQUE - IEMN), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Institut de Physique du Globe de Paris (IPGP (UMR_7154)), Institut national des sciences de l'Univers (INSU - CNRS)-Université de La Réunion (UR)-Institut de Physique du Globe de Paris (IPG Paris)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Lamont-Doherty Earth Observatory (LDEO), Columbia University [New York], Centre National de la Recherche Scientifique (CNRS), Institut des Sciences de la Terre (ISTerre), Institut national des sciences de l'Univers (INSU - CNRS)-Institut de recherche pour le développement [IRD] : UR219-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Gustave Eiffel-Université Grenoble Alpes (UGA), Institut des Sciences de la Terre de Paris (iSTeP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), University of Oregon [Eugene], and no funding

Subjects
Auditory display, Computer science, media_common.quotation_subject, External Data Representation, 01 natural sciences, [SCCO]Cognitive science, Data visualization, Human–computer interaction, Perception, 0103 physical sciences, 0501 psychology and cognitive sciences, 010301 acoustics, ComputingMilieux_MISCELLANEOUS, 050107 human factors, media_common, Data representation, Spatial audio, Visual display, business.industry, 05 social sciences, Audification, Visualization, Human-Computer Interaction, Sonification, Signal Processing, Spatial ecology, Noise (video), business
Abstract

Data availability all datasets used in this study are available on the web at the following addresses (see also the manuscript):- https://www.usgs.gov/volcanoes/kilauea/monitoring- https://www.usgs.gov/observatories/hawaiian-volcano-observatory- https://pnsn.org/seismograms- https://www.pnsn.org/tremor- http://www.fdsn.org/networks/detail/Y4_2014.; International audience; Data visualization, and to a lesser extent data sonification, are classic tools to the scientific community. However, these two approaches are very rarely combined, although they are highly complementary: our visual system is good at recognizing spatial patterns, whereas our auditory system is better tuned for temporal patterns. In this article, data representation methods are proposed that combine visualization, sonification, and spatial audio techniques, in order to optimize the user’s perception of spatial and temporal patterns in a single display, to increase the feeling of immersion, and to take advantage of multimodal integration mechanisms. Three seismic data sets are used to illustrate the methods, covering different physical phenomena, time scales, spatial distributions, and spatio-temporal dynamics. The methods are adapted to the specificities of each data set, and to the amount of information that the designer wants to display. This leads to further developments, namely the use of audification with two time scales, the switch from pure audification to time-modulated noise, and the switch from pure audification to sonic icons. First user feedback from live demonstrations indicates that the methods presented in this article seem to enhance the perception of spatio-temporal patterns, which is a key parameter to the understanding of seismically active systems, and a step towards apprehending the processes that drive this activity.

Published
2021

11. Workspace Evaluation of Robotino-XT Under Reconfiguration

Author

Rochdi Merzouki, Arun K. Samantharay, Belkacem Ould Bouamama, Vipin Pachouri, Pushparaj Mani Pathak, Mrunal Kanti Mishra, Indian Institute of Technology Roorkee (IIT Roorkee), Indian Institute of Technology Kharagpur (IIT Kharagpur), Univ. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, F-59000 Lille, France, Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), and Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
0209 industrial biotechnology, Bending (metalworking), business.industry, Computer science, Control reconfiguration, Robotics, 02 engineering and technology, Workspace, 03 medical and health sciences, Bellows, [SPI]Engineering Sciences [physics], 020901 industrial engineering & automation, 0302 clinical medicine, 030220 oncology & carcinogenesis, Robotino, Artificial intelligence, Manipulator, Actuator, business, Simulation, ComputingMilieux_MISCELLANEOUS
Abstract

The major part of ongoing research in the field of robotics is to mimic the behaviour of species present in nature. This paper presents the workspace of the multi-section bionic manipulator Robotino-XT under the failure of one of its bellow. These types of failure may be due to repeated use, pressure leakage, hysteresis or improper design. The CBHA part of Robotino-XT has two bending sections, where each section has three bellows (actuator). Various strategies are proposed to compensate for the loss in workspace due to failure of one bellow. Also, the workspace obtained after the failure of the bellow is compared with the full-fledged workspace.

Published
2022

12. Modeling and simulation of GaAsPN / GaP quantum dot structure for solar cell in intermediate band solar cell applications

Author

Abdelkader Aissat, J.P. Vilcot, S. Nacer, L. Chenini, Université Saâd Dahlab Blida 1 (UB1), Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Optoélectronique - IEMN (OPTO - IEMN), INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), and no information

Subjects
Nanostructure, Materials science, Renewable Energy, Sustainability and the Environment, business.industry, Structure (category theory), Energy Engineering and Power Technology, law.invention, Modeling and simulation, Intermediate band, [SPI]Engineering Sciences [physics], Fuel Technology, Semiconductor, Nuclear Energy and Engineering, Quantum dot, law, Solar cell, Optoelectronics, business
Abstract

International audience; This effort is founded on the modeling and simulation of the GaAsPN/GaP quantum dot (QD) solar cell. This quaternary alloy is one of the III-V semiconductors, which gained importance in the recent years for optoelectronic applications. This importance comes from the fact that the quaternary GaAsPN can be a well-grown lattice matched to GaP and Si substrates and to the bandgap that can be decreased drastically with the incorporation of nitrogen and arsenic into GaP, improving consequently the absorption and the wavelengths near the red part. These qualities make GaAsPN a good candidate for the growth on the Si substrate and low-cost solar cell fabrication. The optical properties of GaAsPN/GaP QDs, such as strain, critical thickness, bandgap energy, the external quantum efficiency, and absorption coefficient, have been reported. The heterostructures consist of GaAs0.18P0.814N0.006 QDs separated by GaP barrier layers. The width and thickness of QDs are about 5 and 5 nm, respectively. Our results have been shown that 20 GaAs0.18P0.814N0.006/GaP QD layers produce a short-circuit current of about 3.55 mA/cm2 and an efficiency of about 7.5%. In addition, we will be able to extend the absorption edge of a GaP solar cell from 0.48 μm to 0.5 μm for the same QD number layers inserted. The temperature effect on efficiency is considered.

Published
2022

13. Experimental investigation of efficient and simple wind-turbine based on DFIG-direct power control using LCL-filter for stand-alone mode

Author

Fayssal Amrane, Azeddine Chaiba, Bruno Francois, Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 (L2EP), Centrale Lille-Université de Lille-Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Centrale Lille, L2EP - Équipe Réseaux, Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Arts et Métiers Sciences et Technologies, Université Ferhat-Abbas Sétif 1 [Sétif] (UFAS1), and Universite Abbes Laghrour [Khenchela]

Subjects
Computer science, DFIG Integral-Proportional, Power factor, Wind Energy Conversion System, Wind speed, law.invention, law, Control theory, Overshoot (signal), Electrical and Electronic Engineering, smart grid, Instrumentation, DPC LCL-Filter dSPACE 1103 Doubly Fed Induction Generator, Wind power, WECS Direct Power Control, business.industry, Rotor (electric), Applied Mathematics, Induction generator, [SPI.NRJ]Engineering Sciences [physics]/Electric power, Computer Science Applications, Power (physics), Control and Systems Engineering, IP, Smart Grids and Sustainable Energy Transformation, business, Power control
Abstract

This paper suggests an experimental implementation study of the Wind Energy Conversion System (WECS) based on efficient Direct Power Control (DPC). Stand-alone mode for variable wind speed application using Doubly-Fed Induction Generator (DFIG) is studied and developed in this work. Due to the wind power performance limitation of traditional PI controllers, such as overshoot, response time, and static error; IP (integral–Proportional) controllers is replaced instead of the PI to control rotor current d – q components ( I rd and I rq ) in a Park frame through AC–DC–AC converter. A comparative experimental study was implemented to improve the power quality using L, LC & LCL passive filters between the DFIG’s rotor circuit and the inverter. Experimental results prove that the proposed DPC under stand-alone mode with LCL-Type filter could operate in several conditions despite the sudden wind speed variations. It improves the unity power factor grid operation ( ≈ 0.98), dynamic responses, and the decoupled power control with high wind power performances: good reference tracking, short response time, neglected overshoot, and low power error. The power quality injected into the RL-load satisfied the limit specified by IEEE harmonic standard 519 (less than 5%).

Published
2022

14. Consumers’ sensitivities and preferences modelling and integration in a decentralised two levels energy supervisor

Author

Sabine Kazmierczak, Benoit Durillon, Christophe Saudemont, Arnaud Davigny, Florentin Salomez, Hervé Barry, Benoit Robyns, L2EP - Équipe Électronique de puissance (EP), Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 (L2EP), Centrale Lille-Haute Etude d'Ingénieurs-Université de Lille-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Centrale Lille-Haute Etude d'Ingénieurs-Université de Lille-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), Centrale Lille-Université de Lille-Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Arts et Métiers Sciences et Technologies, and Université catholique de Lille (UCL)-Université catholique de Lille (UCL)

Subjects
General Computer Science, Computer science, 010103 numerical & computational mathematics, 02 engineering and technology, computer.software_genre, 7. Clean energy, 01 natural sciences, Theoretical Computer Science, News aggregator, Demand response, [SPI]Engineering Sciences [physics], 0202 electrical engineering, electronic engineering, information engineering, 0101 mathematics, ComputingMilieux_MISCELLANEOUS, Numerical Analysis, Supervisor, business.industry, Applied Mathematics, [SPI.NRJ]Engineering Sciences [physics]/Electric power, Environmental economics, Grid, Electrical grid, Renewable energy, Energy management system, 13. Climate action, Modeling and Simulation, 020201 artificial intelligence & image processing, Electricity, business, computer
Abstract

To address the new challenges arising from the higher penetration of renewable energy in electrical grid, Demand Response (DR) aims to involve the residential consumers in the grid equilibrium. Ensuring benefits for both utility and users requires the consumers sensitivities to be understood and then included in the Energy Management System (EMS). For this purpose, the cost is the predominant and most often only factor taken into account in the literature, although in the residential sector other concerns influencing electricity consumption behaviour have been observed. This paper presents a two levels EMS applied to a neighbourhood of consumers mathematically modelled at the level of their appliances and incorporating 5 consumers profiles along three sensitivities: cost, environment and appliances shifting comfort. The first level is a day ahead supervision based on a multi-agent optimisation lead by a central aggregator but performed locally by the household using Dynamic Programming (DP), thus ensuring privacy protection for the stakeholders. The second level is a real time supervision using the same decentralised structure and based on fuzzy logic. Both levels are evaluated in this paper, with a focus on the balance between grid and consumers objectives.

Published
2021

15. Asymmetric micro-supercapacitors based on electrodeposited Ruo2 and sputtered VN films

Author

Christophe Lethien, Thierry Brousse, Kevin Robert, Bouchra Asbani, Pascal Roussel, Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Réseau sur le stockage électrochimique de l'énergie (RS2E), Université de Nantes (UN)-Aix Marseille Université (AMU)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Collège de France (CdF (institution))-Université de Picardie Jules Verne (UPJV)-Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)-Ecole Nationale Supérieure de Chimie de Paris - Chimie ParisTech-PSL (ENSCP), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Pau et des Pays de l'Adour (UPPA)-Institut de Chimie du CNRS (INC)-Université de Montpellier (UM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Université Grenoble Alpes (UGA), Circuits Systèmes Applications des Micro-ondes - IEMN (CSAM - IEMN ), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Unité de Catalyse et Chimie du Solide - UMR 8181 (UCCS), Université d'Artois (UA)-Centrale Lille-Institut de Chimie du CNRS (INC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Institut des Matériaux Jean Rouxel (IMN), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-Ecole Polytechnique de l'Université de Nantes (EPUN), Université de Nantes (UN)-Université de Nantes (UN)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), This research benefitted from the financial support of the ANR within the DENSSCAPIO project (ANR-17-CE05–0015–02). The authors would also like to thank the ANR STORE-EX and the RS2E for their financial support. The RENATECH network receives our utmost gratitude. Chevreul Institute (CNRS FR 2638), Ministère de l’Enseignement Supérieur et de la Recherche, Région Hauts de France and FEDER are acknowledged for supporting and funding XRD facilities., RS2E, Renatech Network, CMNF, ANR-17-CE05-0015,DENSSCAPIO,Supercondensateurs nanostructurés tout-solides pour stockage d'énergie plus dense et plus sûr(2017), ANR-10-LABX-0076,STORE-EX,Laboratory of excellency for electrochemical energy storage(2010), Université de Picardie Jules Verne (UPJV)-Institut de Chimie du CNRS (INC)-Aix Marseille Université (AMU)-Université de Pau et des Pays de l'Adour (UPPA)-Université de Nantes (UN)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Ecole Nationale Supérieure de Chimie de Paris - Chimie ParisTech-PSL (ENSCP), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Collège de France (CdF (institution))-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Université Grenoble Alpes (UGA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM), Centrale Lille Institut (CLIL)-Université d'Artois (UA)-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Lille, Université de Nantes (UN)-Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Ecole Polytechnique de l'Université de Nantes (EPUN), Université de Nantes (UN)-Université de Nantes (UN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), CNRS, Centrale Lille, ENSCL, ISEN, Institut Catholique Lille, Univ. Artois, Univ. Valenciennes, Université de Lille, Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520, and Unité de Catalyse et Chimie du Solide (UCCS) - UMR 8181

Subjects
Materials science, Vanadium nitride, Energy Engineering and Power Technology, 02 engineering and technology, 010402 general chemistry, 01 natural sciences, 7. Clean energy, Capacitance, Ruthenium oxide, vanadium nitride, chemistry.chemical_compound, asymmetric micro-supercapacitors, Sputtering, General Materials Science, Thin film, Electrochemical potential, Power density, Supercapacitor, Renewable Energy, Sustainability and the Environment, business.industry, [SPI.NRJ]Engineering Sciences [physics]/Electric power, hydrous ruthenium oxide, [CHIM.MATE]Chemical Sciences/Material chemistry, 021001 nanoscience & nanotechnology, 0104 chemical sciences, thin films, chemistry, electrodeposition, [PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci], Optoelectronics, sputtering, 0210 nano-technology, business
Abstract

International audience; Research on micro-supercapacitors remains one of the most important activities in the area of electrochemical energy storage for powering smart and miniaturized electronic devices. Here we design an asymmetric micro-supercapacitor (A-MSC) combining sputtered vanadium nitride film (VN) and electrodeposited hydrous ruthenium oxide (hRuO2) film. Taking advantage of their complementary electrochemical potential windows in 1 M KOH electrolyte, the A-MSC achieves a cell voltage up to 1.15 V, associated to high specific capacitance values for the device (≈ 100 mF cm−2). The energy density of this asymmetric VN / hRuO2 micro-supercapacitor reaches 20 µWh cm−2 at a power density of 3 mW cm−2. Taking benefit from the asymmetric configuration, a 5-fold enhancement factor in energy density is demonstrated for the VN / hRuO2 asymmetric micro-supercapacitor as compared to symmetric VN / VN and hRuO2 / hRuO2 microdevices.

Published
2021

16. Inference from Visible Information and Background Knowledge

Author

Balder ten Cate, Michael Benedikt, Pierre Bourhis, Michael Vanden Boom, Gabriele Puppis, Computing Science Laboratory - Oxford University, University of Oxford, Self-adaptation for distributed services and large software systems (SPIRALS), Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), University of California [Santa Cruz] (UC Santa Cruz), University of California (UC), Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS), Projet CNRS Momentum, University of Oxford [Oxford], University of California [Santa Cruz] (UCSC), University of California, Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Department of Computer Science [Oxford], Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Logic and Computation (ILLC, FNWI/FGw), and ILLC (FNWI)

Subjects
FOS: Computer and information sciences, Computer Science - Logic in Computer Science, Vocabulary, General Computer Science, Logic, Computer science, media_common.quotation_subject, Inference, 02 engineering and technology, computer.software_genre, GNF, Query answering, Existentialism, Theoretical Computer Science, CCS Concepts, 020204 information systems, Schema (psychology), 0202 electrical engineering, electronic engineering, information engineering, Theory of computation → Problems, media_common, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], business.industry, 16. Peace & justice, Information systems → Relational database query languages, Logic in Computer Science (cs.LO), reductions and completeness, Computational Mathematics, Falsity, Isolation (psychology), 020201 artificial intelligence & image processing, Artificial intelligence, business, computer, Natural language processing, Sentence
Abstract

We provide a wide-ranging study of the scenario where a subset of the relations in a relational vocabulary is visible to a user—that is, their complete contents are known—while the remaining relations are invisible. We also have a background theory—invariants given by logical sentences—that may relate the visible relations to invisible ones, and also may constrain both the visible and invisible relations in isolation. We want to determine whether some other information, given as a positive existential formula, can be inferred using only the visible information and the background theory. This formula whose inference we are concerned with is denoted as the query . We consider whether positive information about the query can be inferred, and also whether negative information—the sentence does not hold—can be inferred. We further consider both the instance-level version of the problem, where both the query and the visible instance are given, and the schema-level version, where we want to know whether truth or falsity of the query can be inferred in some instance of the schema.

Published
2021

17. Sputtered LiNi0.5Mn1.5O4 Thin Films for Lithium-Ion Microbatteries

Author

Pascal Roussel, Christophe Lethien, Maxime Hallot, Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Circuits Systèmes Applications des Micro-ondes - IEMN (CSAM - IEMN ), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Réseau sur le stockage électrochimique de l'énergie (RS2E), Université de Nantes (UN)-Aix Marseille Université (AMU)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Collège de France (CdF (institution))-Université de Picardie Jules Verne (UPJV)-Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)-Ecole Nationale Supérieure de Chimie de Paris - Chimie ParisTech-PSL (ENSCP), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Pau et des Pays de l'Adour (UPPA)-Institut de Chimie du CNRS (INC)-Université de Montpellier (UM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Université Grenoble Alpes (UGA), Unité de Catalyse et Chimie du Solide - UMR 8181 (UCCS), Université d'Artois (UA)-Centrale Lille-Institut de Chimie du CNRS (INC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Ministère de l'Enseignement Supérieur et de la Recherche, MESR, European Regional Development Fund, ERDF, This research is financially supported by the ANR within the CASSIOPES project (ANR-17-CE09-0016-01). The authors also thank the French network on electrochemical energy storage (RS2E) and the STORE-EX Labex for their support. The French RENATECH network is greatly acknowledged for the use of microfabrication facilities. Chevreul Institute (FR 2638), Ministère de l’Enseignement Supérieur et de la Recherche, Région Hauts de France, and FEDER are acknowledged for supporting and funding XRD facilities., RS2E, Renatech Network, CMNF, ANR-17-CE09-0016,CASSIOPES,Caractérisations AvancéeS in SItu / OPerando de micro-batteriES 3D tout solide à ions lithium développées en technologie couche mince ALD(2017), and ANR-10-LABX-0076,STORE-EX,Laboratory of excellency for electrochemical energy storage(2010)

Subjects
High energy, Materials science, LiNi0.5Mn1.5O4, sputtered films, Energy Engineering and Power Technology, chemistry.chemical_element, engineering.material, Ion, Li-ion microbatteries, [SPI]Engineering Sciences [physics], faradic process, Materials Chemistry, Electrochemistry, Chemical Engineering (miscellaneous), Electronics, Electrical and Electronic Engineering, Thin film, surface capacities, business.industry, Spinel, thin films, chemistry, engineering, Optoelectronics, Lithium, business
Abstract

International audience; To power miniaturized and smart electronic devices, lithium-ion microbatteries with high energy densities remain the most attractive solution. The Ni-substituted LiMn2O4 spinel material seems to be the most promising high-performance electrodes to significantly enhance the energy density of Li-ion microbatteries. Sputtered LiNi0.5Mn1.5O4 (LNMO) films deposited on a metallic current collector are known to deliver high capacity values with high rate capabilities. In this paper, we propose a detailed study on the influence of sputtering deposition parameters (gas flow rate and bias voltage) to optimize the electrochemical properties of the electrodes and to carefully investigate the structure-electrochemical property relationship. © 2021 American Chemical Society.

Published
2021

18. Lesions Detection of Multiple Sclerosis in 3D Brian MR Images by Using Artificial Immune Systems and Support Vector Machines

Author

Nacéra Benamrane, Amina Merzoug, Abdelmalik Taleb-Ahmed, Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), COMmunications NUMériques - IEMN (COMNUM - IEMN), INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), and Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)

Subjects
Artificial immune system, business.industry, Computer science, Multiple sclerosis, Pattern recognition, medicine.disease, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [SPI.TRON]Engineering Sciences [physics]/Electronics, Human-Computer Interaction, Support vector machine, [SPI]Engineering Sciences [physics], [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Artificial Intelligence, medicine, [INFO]Computer Science [cs], Artificial intelligence, Mr images, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Software
Abstract

International audience; This paper presents a segmentation method to detect multiple sclerosis (MS) lesions in brain MRI based on the artificial immune systems (AIS) and a support vector machines (SVM). In the first step, AIS is used to segment the three main brain tissues white matter, gray matter, and cerebrospinal fluid. Then the features were extracted and SVM is applied to detect the multiple sclerosis lesions based on SMO training algorithm. The experiments conducted on 3D brain MR images produce satisfying results.

Published
2021

19. Déjà vu: Abusing Browser Cache Headers to Identify and Track Online Users

Author

Pierre Laperdrix, Walter Rudametkin, Romain Rouvoy, Vikas Mishra, Self-adaptation for distributed services and large software systems (SPIRALS), Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), This work is funded by the ANR FP-Locker project under grant number ANR-19-CE39-0020., and ANR-19-CE39-0002,FP-Locker,FP-Locker : Renforcer l'authentification web grâce aux empreintes de navigateur(2019)

Subjects
Computer science, browser cache, 02 engineering and technology, web tracking, web privacy, World Wide Web, 03 medical and health sciences, [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], Resource (project management), Sniffing, 0202 electrical engineering, electronic engineering, information engineering, 030304 developmental biology, General Environmental Science, Ethics, 0303 health sciences, business.industry, Track (disk drive), Information technology, 020206 networking & telecommunications, Timeline, QA75.5-76.95, BJ1-1725, Timing attack, Electronic computers. Computer science, Déjà vu, General Earth and Planetary Sciences, Cache, business
Abstract

Many browser cache attacks have been proposed in the literature to sniff the user’s browsing history. All of them rely on specific time measurements to infer if a resource is in the cache or not. Unlike the state-of-the-art, this paper reports on a novel cache-based attack that is not a timing attack but that abuses the HTTP cache-control and expires headers to extract the exact date and time when a resource was cached by the browser. The privacy implications are serious as this information can not only be utilized to detect if a website was visited by the user but it can also help build a timeline of the user’s visits. This goes beyond traditional history sniffing attacks as we can observe patterns of visit and model user’s behavior on the web. To evaluate the impact of our attack, we tested it on all major browsers and found that all of them, except the ones based on WebKit, are vulnerable to it. Since our attack requires specific HTTP headers to be present, we also crawled the Tranco Top 100K websites and identified 12, 970 of them can be detected with our approach. Among them, 1, 910 deliver resources that have expiry dates greater than 100 days, enabling long-term user tracking. Finally, we discuss possible defenses at both the browser and standard levels to prevent users from being tracked.

Published
2021

20. Entropy-Based Ultra-Wide Band Radar Signals Segmentation for Multi Obstacle Detection

Author

Atika Rivenq, Amira Mimouna, Abdelmalik Taleb-Ahmed, Anouar Ben Khalifa, Ihsen Alouani, Najoua Essoukri Ben Amara, Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), COMmunications NUMériques - IEMN (COMNUM - IEMN), INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Laboratory of Advanced Technology and Intelligent Systems (LATIS), and Ecole Nationale d'Ingénieurs de Sousse (ENISo)

Subjects
UWB radar, Computer science, Entropy, Ultra-wideband, 01 natural sciences, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], law.invention, Differential entropy, [SPI]Engineering Sciences [physics], [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], law, Robustness (computer science), Radar imaging, [INFO]Computer Science [cs], Computer vision, Segmentation, Electrical and Electronic Engineering, Radar, Entropy (energy dispersal), Instrumentation, business.industry, segmentation, 010401 analytical chemistry, object detection, [SPI.TRON]Engineering Sciences [physics]/Electronics, 0104 chemical sciences, Obstacle, Artificial intelligence, ITS, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; The development of safe intelligent transportation systems (ITS) has driven extensive research to come up with efficient environment perception techniques with a variety of sensors. In short range settings, Ultra Wide-Band (UWB) radars represent a promising technology for building reliable obstacle detection systems as they are robust to environmental conditions. However, UWB radars suffer from a segmentation challenge: localizing relevant regions of interest (ROIs) within its signals. This article proposes a segmentation approach to detect ROIs in an environment perception-dedicated UWB radar. Specifically, we implement a differential entropy analysis to detect ROIs. We evaluate our technique on a benchmark of more than 47 thousands samples. The obtained results show higher performance in terms of obstacle detection compared to state-of-the-art techniques, and a stable robustness even with low amplitude signals.

Published
2021

21. Van Hove Singularities and Trap States in Two-Dimensional CdSe Nanoplatelets

Author

Nathali Alexandra Franchina Vergel, Christophe Delerue, Iwan Moreels, Dominique Deresmes, Bruno Grandidier, Y. Lambert, Nemanja Peric, Ali Hossain Khan, Shalini Singh, Maxime Berthe, Zeger Hens, Louis Biadala, Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Physique - IEMN (PHYSIQUE - IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Universiteit Gent = Ghent University [Belgium] (UGENT), Plateforme de Caractérisation Multi-Physiques - IEMN (PCMP - IEMN), This study was financially supported by the European Community’s H2020 Program (Grant No. PITN-GA-2016-722176, 'Indeed' Project), the EQUIPEX program Excelsior (Grant No. ANR-11-EQPX-0015), the RENATECH network, the Agence National de la Recherche (Grant No. ANR-19-CE09-0022, 'TROPICAL' Project), and I-SITE ('PRIVET' project). This project has also received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 714876 PHOCONA). We also acknowledge the TEM facility of the Nematology Research Unit, member of the UGent TEM-Expertise Centre (life sciences)., Renatech Network, PCMP PCP, ANR-11-EQPX-0015,Excelsior,Centre expérimental pour l'étude des propriétés des nanodispositifs dans un large spectre du DC au moyen Infra-rouge.(2011), European Project: 722176,H2020, H2020-MSCA-ITN-2016,INDEED(2017), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), and Universiteit Gent = Ghent University (UGENT)

Subjects
Nanostructure, Flatness (systems theory), Scanning tunneling spectroscopy, Bioengineering, 02 engineering and technology, dimensionality, CdSe, quantum confinement, Tight binding, nanocrystals, General Materials Science, [SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics, Quantum well, [PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], Condensed matter physics, business.industry, Mechanical Engineering, nanoplatelets, General Chemistry, Condensed Matter::Mesoscopic Systems and Quantum Hall Effect, 021001 nanoscience & nanotechnology, Condensed Matter Physics, Semiconductor, Quantum dot, Density of states, 0210 nano-technology, business
Abstract

International audience; Semiconductor nanoplatelets, which offer a compelling combination of the flatness of two-dimensional semiconductors and the inherent richness brought about by colloidal nanostructure synthesis, form an ideal and general testbed to investigate fundamental physical effects related to the dimensionality of semiconductors. With low temperature scanning tunnelling spectroscopy and tight binding calculations, we investigate the conduction band density of states of individual CdSe nanoplatelets. We find an occurrence of peaks instead of the typical steplike function associated with a quantum well, that rule out a free in-plane electron motion, in agreement with the theoretical density of states. This finding, along with the detection of deep trap states located on the edge facets, which also restrict the electron motion, provides a detailed picture of the actual lateral confinement in quantum wells with finite length and width.

Published
2021

22. Soft Spatial Attention-Based Multimodal Driver Action Recognition Using Deep Learning

Author

Mohamed Ali Mahjoub, Ihsen Alouani, Imen Jegham, Anouar Ben Khalifa, Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), COMmunications NUMériques - IEMN (COMNUM - IEMN), INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), and Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)

Subjects
Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Driver action recognition, 01 natural sciences, Motion (physics), kinect sensor, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Silhouette, [SPI]Engineering Sciences [physics], [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO]Computer Science [cs], Computer vision, Electrical and Electronic Engineering, Instrumentation, [PHYS]Physics [physics], business.industry, Deep learning, 010401 analytical chemistry, Frame (networking), multimodal, deep learning, [SPI.TRON]Engineering Sciences [physics]/Electronics, 0104 chemical sciences, Visualization, Task analysis, Artificial intelligence, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, spatial soft attention
Abstract

International audience; Driver behaviors and decisions are crucial factors for on-road driving safety. With a precise driver behavior monitoring system, traffic accidents and injuries can be significantly reduced. However, understanding human behaviors in real-world driving settings is a challenging task because of the uncontrolled conditions including illumination variation, occlusion, and dynamic and cluttered background. In this paper, a Kinect sensor, which provides multimodal signals, is adopted as a driver monitoring sensor to recognize safe driving and common secondary most distracting in-vehicle actions. We propose a novel soft spatial attention-based network named the Depth-based Spatial Attention network (DSA), which adds a cognitive process to deep network by selectively focusing on the driver's silhouette and motion in the cluttered driving scene. In fact, at each time t, we introduce a new weighted RGB frame based on an attention model designed using a depth frame. The final classification accuracy is substantially enhanced compared to the state-of-the-art results with an achieved improvement of up to 27%. © 2001-2012 IEEE.

Published
2021

23. Experimental Investigation of the Parameters Influencing the Surface Defect Detection by Using the Critically Refracted Longitudinal Waves

Author

Tarek Boutkedjirt, Mohamed Ourak, Wahiba Djerir, Research Center in Industrial Technologies (CRIT), Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Transduction, Propagation et Imagerie Acoustique - IEMN (TPIA - IEMN), INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), and Université des Sciences et de la Technologie Houari Boumediene = University of Sciences and Technology Houari Boumediene [Alger] (USTHB)

Subjects
Materials science, reflection mode, critically refracted longitudinal (LCR) wave, 01 natural sciences, Signal, [SPI]Engineering Sciences [physics], Optics, Nondestructive testing, 0103 physical sciences, transmission mode, [INFO]Computer Science [cs], General Materials Science, 010301 acoustics, Groove (music), [PHYS]Physics [physics], 010302 applied physics, business.industry, Mechanical Engineering, Transmitter, cylindrical surface defect, rectangular groove defect, Condensed Matter Physics, Transducer, Amplitude, Mechanics of Materials, Reflection (physics), business, frequency spectrum, Longitudinal wave
Abstract

International audience; Abstract: The aim of this work is the detection of surface defects by the refracted longitudinal wave and the study of the parameters that influence the use of this wave in transmission and reflection modes in order to optimize the non-destructive testing (NDT) conditions with the LCR waves. For this, two types of defects are considered, cylindrical defects of different lengths 5 and 8 mm with depth of 10 mm and a rectangular groove of length 8 mm, width 2 mm and depth of 10 mm. The LCR wave was generated by transducers of center frequencies fc = 1 MHz and fc = 3.5 MHz with an inclination at a fixed-angle equal to 27° in aluminum. This study is divided into two parts. The first explains the changes in the signals caused by this interaction from a temporal point of view. The second part analyzes the energy losses induced on the spectrum. The reference signal is acquired in a defect-free sample. By comparison between the time signals and the respective reference signals, it has been found experimentally a decrease in the amplitude and a time shift of the LCR wave due to the presence of the defect. The sample spectra with a defect are modified relative to the spectrum obtained for the sample without defect, these are narrowed particularly for high frequencies. A shift of the centre frequency to lower values can also be noticed. The influences of the sensor frequency and the transmitter/receiver distance have been studied. When the frequency-sensor increases, the effects on the LCR wave by the defect increase. The study showed, that the increase in frequency allows the detection of smaller defects. Also, because of the inclination of the LCR beam, the choice of the distance between the transmitter and the receiver affects the defect detection. The reducing of the distance between the transmitter and the receiver improves the defects detection. The natures of the defects influence also the defects detection. In reflection mode, it is also possible to detected defect and the results found are satisfactory. Therefore this method is very effective because it identifies the defect and its location. © 2021, Pleiades Publishing, Ltd.

Published
2021

24. Robust Automatic Modulation Recognition Through Joint Contribution of Hand-Crafted and Contextual Features

Author

Iyad Dayoub, Mohd Rizon Bin Mohamed Juhari, Wei Hong Lim, Kais Hassan, Bachir Jdid, UCSI University, Institut d’Électronique, de Microélectronique et de Nanotechnologie - Département Opto-Acousto-Électronique - UMR 8520 (IEMN-DOAE), INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Laboratoire d'Acoustique de l'Université du Mans (LAUM), Centre National de la Recherche Scientifique (CNRS)-Le Mans Université (UM), COMmunications NUMériques - IEMN (COMNUM - IEMN), INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Le Mans Université (UM)-Centre National de la Recherche Scientifique (CNRS), and UCSI University through the UCSI University Research Excellence and Innovation Grant Scheme (Grant Number: REIG-FETBE-2020/025)

Subjects
Boosting (machine learning), General Computer Science, Computer science, 020209 energy, Feature vector, Feature extraction, Feature selection, 02 engineering and technology, computer.software_genre, Automatic modulation recognition (AMR), Signal-to-noise ratio, deep learning (DL), Robustness (computer science), 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, [INFO]Computer Science [cs], Electrical and Electronic Engineering, ComputingMilieux_MISCELLANEOUS, convolutional neural network (CNN), business.industry, Deep learning, General Engineering, TK1-9971, Support vector machine, wireless signal classification, 020201 artificial intelligence & image processing, Artificial intelligence, Data mining, Electrical engineering. Electronics. Nuclear engineering, business, computer, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; Automatic modulation recognition (AMR) has become increasingly important in the field of signal processing, especially with the advancements of intelligent communication systems. Deep Learning (DL) technologies have been incorporated into the AMR field and they have shown outstanding performances against conventional AMR methods. The robustness of DL-based AMR methods under varying noise regimes is one of major concerns for the widespread utilization of this technology. Furthermore, most existing works have neglected the contributions of hand-crafted features (HCFs) in boosting the classification performances of DL-based AMR methods. In order to address the aforementioned technical challenges, a novel and robust DL-AMR method is proposed by leveraging the benefits of both contextual features (CFs) and HCFs for a specific range of signal-to-noise ratio (SNR). A novel feature selection algorithm is also proposed to search for the optimal sets of HCFs in order to reduce the dimensions of feature vectors without losing any important and relevant features. Simulation studies are performed to investigate the feasibility of proposed method in classifying 11 types of modulation schemes. Extensive performance analyses revealed the superiority of proposed method over baseline method in terms of the classification performance as well as the excellent capability of proposed feature selection algorithm in determining an optimal subset of HCFs.

Published
2021

25. A NEW EQUIVALENT CIRCUIT SCHEME FOR GROUNDED BACK-TO-BACK GCPW-MS-GCPW TRANSITIONS FABRICATED ON A THIN LOW-K SUBSTRATE

Author

Pierre-Vincent Dugue, Hong Wu Li, Mathieu Halbwax, Vanessa Avramovic, Mohammed El-Gibari, Jean-Pierre Vilcot, Stephane Ginestar, Institut d'Électronique et des Technologies du numéRique (IETR), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Optoélectronique - IEMN (OPTO - IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Plateforme de Caractérisation Multi-Physiques - IEMN (PCMP - IEMN), Renatech Network, PCMP CHOP, ANR-17-ASTR-0004,ADC Poly,Déflecteur à base d'un guide optique à fuite en polymère en vue de la réalisation d'un convertisseur analogique-numérique tout-optique à plus de 40 Giga échantillons par seconde(2017), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), and Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)

Subjects
[SPI.OTHER]Engineering Sciences [physics]/Other, Materials science, business.industry, Ground, 020208 electrical & electronic engineering, Bandwidth (signal processing), 020206 networking & telecommunications, 02 engineering and technology, Microstrip, Electronic, Optical and Magnetic Materials, [SPI]Engineering Sciences [physics], chemistry.chemical_compound, chemistry, Benzocyclobutene, 0202 electrical engineering, electronic engineering, information engineering, Optoelectronics, Equivalent circuit, business, Photosensitive polymer
Abstract

International audience; We hereby present a new equivalent circuit model including both lumped and distributed elements for GCPW-MS transitions (GCPW for Grounded CoplanarWaveguide and MS for Microstrip). In order to validate the modelling results, such transitions have been fabricated on a 20 μm-thick BCB (Benzocyclobutene resin) substrate using grounding pads including via-holes of different diameters. The study focused on the impact of the via-hole diameter on the performance of the transition and more specifically on its bandwidth. The transitions were made using a simple technological process based on photosensitive polymer. ADS simulation data of the new equivalent circuit model were in very good agreement with measured S-parameters. Both theoretical and experimental results have shown that the bandwidth of such a transition can reach up to 100 GHz using via-holes of 900 μm diameter.

Published
2021

26. Engineering a Robust Flat Band in III–V Semiconductor Heterostructures

Author

Xavier Wallart, Daniel Vanmaekelbergh, Gilles Patriarche, David Troadec, Guillaume Fleury, Bruno Grandidier, Christophe Delerue, Nathali Alexandra Franchina Vergel, Maxime Berthe, Ludovic Desplanque, C. Coinon, Yannick Lambert, Tao Xu, François Vaurette, Davide Sciacca, Dmitri A. Yarekha, L. Christiaan Post, Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), Debye Institute for Nanomaterials Science, Utrecht University [Utrecht], Laboratoire de Chimie des Polymères Organiques (LCPO), Université de Bordeaux (UB)-Ecole Nationale Supérieure de Chimie, de Biologie et de Physique (ENSCBP)-Institut Polytechnique de Bordeaux-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Team 4 LCPO : Polymer Materials for Electronic, Energy, Information and Communication Technologies, Université de Bordeaux (UB)-Ecole Nationale Supérieure de Chimie, de Biologie et de Physique (ENSCBP)-Institut Polytechnique de Bordeaux-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Ecole Nationale Supérieure de Chimie, de Biologie et de Physique (ENSCBP)-Institut Polytechnique de Bordeaux-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Centre de Nanosciences et de Nanotechnologies (C2N), Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Sino-European School of Technology, University of Shanghai [Shanghai], Physique - IEMN (PHYSIQUE - IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), Centrale de Micro Nano Fabrication - IEMN (CMNF - IEMN), EPItaxie et PHYsique des hétérostructures - IEMN (EPIPHY - IEMN), Dutch Research Council (NWO Chemistry - Toppunt 'Superficial superstructures'), Natural Science Foundation of Shanghai (19ZR1419500), Renatech Network, PCMP PCP, ANR-16-CE24-0007,Dirac-III-V,Super-réseau d'antipoints de Dirac pour les électrons dans les semiconducteurs III-V(2016), ANR-11-EQPX-0015,Excelsior,Centre expérimental pour l'étude des propriétés des nanodispositifs dans un large spectre du DC au moyen Infra-rouge.(2011), ANR-17-CE09-0021,GERMANENE,Croissance de germanene sur substrats à bande interdite(2017), European Project: FIRST STEP, Centre National de la Recherche Scientifique (CNRS)-Institut Polytechnique de Bordeaux-Ecole Nationale Supérieure de Chimie, de Biologie et de Physique (ENSCBP)-Université de Bordeaux (UB)-Institut de Chimie du CNRS (INC), Centre National de la Recherche Scientifique (CNRS)-Institut Polytechnique de Bordeaux-Ecole Nationale Supérieure de Chimie, de Biologie et de Physique (ENSCBP)-Université de Bordeaux (UB)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Institut Polytechnique de Bordeaux-Ecole Nationale Supérieure de Chimie, de Biologie et de Physique (ENSCBP)-Université de Bordeaux (UB)-Institut de Chimie du CNRS (INC), Physique-IEMN (PHYSIQUE-IEMN), and Centrale de Micro Nano Fabrication - IEMN (CMNF-IEMN)

Subjects
Materials science, tight binding calculations, quantum well, flat band, Scanning tunneling spectroscopy, band engineering, Bioengineering, 02 engineering and technology, Electron, Lattice constant, General Materials Science, [PHYS.COND]Physics [physics]/Condensed Matter [cond-mat], Electronic band structure, Lithography, ComputingMilieux_MISCELLANEOUS, Quantum well, block copolymer lithography, business.industry, Mechanical Engineering, Heterojunction, disorder, General Chemistry, Condensed Matter::Mesoscopic Systems and Quantum Hall Effect, 021001 nanoscience & nanotechnology, Condensed Matter Physics, Two-dimensional lattice, Quantum dot, scanning tunneling spectroscopy, Optoelectronics, III−V semiconductor, 0210 nano-technology, business
Abstract

Electron states in semiconductor materials can be modified by quantum confinement. Adding to semiconductor heterostructures the concept of lateral geometry offers the possibility to further tailor the electronic band structure with the creation of unique flat bands. Using block copolymer lithography, we describe the design, fabrication, and characterization of multiorbital bands in a honeycomb In0.53Ga0.47As/InP heterostructure quantum well with a lattice constant of 21 nm. Thanks to an optimized surface quality, scanning tunnelling spectroscopy reveals the existence of a strong resonance localized between the lattice sites, signature of a p-orbital flat band. Together with theoretical computations, the impact of the nanopatterning imperfections on the band structure is examined. We show that the flat band is protected against the lateral and vertical disorder, making this industry-standard system particularly attractive for the study of exotic phases of matter.

Published
2020

27. Fabrication and Optimization of High Frequency ZnO Transducers for Both Longitudinal and Shear Emission: Application of Viscosity Measurement using Ultrasound

Author

Vincent Thomy, Bertrand Nongaillard, Malika Toubal, Pierre Campistron, Souad Harmand, Julien Carlier, Ibrahim Zaaroura, Abbas Ramez Salhab, Hatem Dahmani, Marc Neyens, Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), Matériaux et Acoustiques pour MIcro et NAno systèmes intégrés - IEMN (MAMINA - IEMN), Institut d’Électronique, de Microélectronique et de Nanotechnologie - Département Opto-Acousto-Électronique - UMR 8520 (IEMN-DOAE), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 (LAMIH), Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), STMicroelectronics [Crolles] (ST-CROLLES), Bio-Micro-Electro-Mechanical Systems - IEMN (BIOMEMS - IEMN), This work was partially supported by the French Renatech network. A part of the cost has also been supported by STMicroelectronics and Hauts-de-France region., Renatech Network, Laboratoire commun STMicroelectronics-IEMN T3, Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), and Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)

Subjects
Materials science, Fabrication, Physics and Astronomy (miscellaneous), Shear and Longitudinal waves, 02 engineering and technology, 01 natural sciences, [SPI.MAT]Engineering Sciences [physics]/Materials, Viscosity measurement, [SPI]Engineering Sciences [physics], Highfrequency, Management of Technology and Innovation, 0103 physical sciences, [SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics, Composite material, 010301 acoustics, Engineering (miscellaneous), [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph], ZnO Transducer, business.industry, Ultrasound, 021001 nanoscience & nanotechnology, C-axis inclined ZnO, Matching network, Shear (sheet metal), Transducer, Volume and Shear viscosities, 0210 nano-technology, business
Abstract

International audience; This paper covers the study of high-frequency (~ 1 GHz) ZnO piezoelectric transducer integrated on a silicon substrate able to generate both compressional and shear acoustic waves. First, to promote the longitudinal mode, an electrical matching of the transducer in this high-frequency range is effectuated. Second, to promote shear waves, new deposition conditions were applied, giving thin zinc oxide films of inclined c-axis. The RF microprobe was used to validate the transducer design and to conduct the viscosity measurements. Thus, the shear and the volume viscosity of a water droplet were measured.

Published
2020

28. Model driven simulation of elastic OCCI cloud resources

Author

Faiez Zalila, Walid Gaaloul, Philippe Merle, Slim Kallel, Mehdi Ahmed-Nacer, Université des Sciences et de la Technologie Houari Boumediene = University of Sciences and Technology Houari Boumediene [Alger] (USTHB), Unité de Recherche en développement et contrôle d'applications distribuées (REDCAD), École Nationale d'Ingénieurs de Sfax | National School of Engineers of Sfax (ENIS), Self-adaptation for distributed services and large software systems (SPIRALS), Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Institut Polytechnique de Paris (IP Paris), Département Informatique (TSP - INF), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Algorithmes, Composants, Modèles Et Services pour l'informatique répartie (ACMES-SAMOVAR), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), This work is partially supported by OCCIware, a research project funded by French FSN (Fonds national pour la Société Numérique) program., University of Sciences and Technology Houari Boumediene [Alger] (USTHB), Université de Lille-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), and Département Informatique (INF)

Subjects
OCCIware, CloudSim, General Computer Science, Computer science, Interface (Java), Distributed computing, Cloud computing, Context (language use), 0102 computer and information sciences, 02 engineering and technology, [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE], 01 natural sciences, 0202 electrical engineering, electronic engineering, information engineering, [INFO]Computer Science [cs], Abstraction (linguistics), Amazon web services, business.industry, 020206 networking & telecommunications, Usability, Elasticity, Metamodeling, 010201 computation theory & mathematics, Proof of concept, OCCI, [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], business, Pricing, Simulation
Abstract

Deploying a cloud configuration in a real cloud platform is mostly cost- and time- consuming, as large number of cloud resources have to be rented for the time needed to run the configuration. Thereafter, cloud simulation tools are used as a cheap alternative to test cloud configuration. However, most of the existing cloud simulation tools require extensive technical skills and do not support simulation of any kind of cloud resources. In this context, using a model-driven approach can be helpful as it allows developers to efficiently describe their needs at a high level of abstraction. To do, we propose, in this article, a model-driven engineering approach based on the Open Cloud Computing Interface(OCCI) standard metamodel and CloudSim toolkit. We firstly extend OCCI metamodel for the supporting simulation of any kind of cloud resources. Afterward, to illustrate the extensibility of our approach, we enrich the proposed metamodel by new simulation capabilities. As proof of concept, we study the elasticity and pricing strategies of Amazon Web Services (AWS). This article benefits from OCCIware Studio to design an OCCI simulation extension and to provide a simulation designer for designing cloud configurations to be simulated. We detail the approach process from defining an OCCI simulation extension until the generation and the simulation of the OCCI cloud configurations. Finally, we validate the proposed approach by providing a realistic experimentation to study its usability, the resources coverage rate and the cost. The results are compared with the ones computed from AWS.

Published
2022

29. A Linux-Based Support for Developing Real-Time Applications on Heterogeneous Platforms with Dynamic FPGA Reconfiguration

Author

Marco Pagani, Lorenzo Molinari, Giorgio Buttazzo, Mauro Marinoni, Alessandro Biondi, Giuseppe Lipari, Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Analyse symbolique et conception orientée composants pour des systèmes embarqués temps-réel modulaires (SYCOMORES), Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), and Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
Flexibility (engineering), Computer Networks and Communications, business.industry, Computer science, Linux, Control reconfiguration, Modular design, Heterogeneous Computing, Porting, Scheduling (computing), Hardware and Architecture, Embedded system, Hardware acceleration, DPR, [INFO.INFO-ES]Computer Science [cs]/Embedded Systems, [INFO.INFO-OS]Computer Science [cs]/Operating Systems [cs.OS], Reference implementation, business, Field-programmable gate array, Real-time, FPGA, Heterogeneous computing, Software
Abstract

International audience; Computing platforms for next-generation cyber-physical systems are evolving towards heterogeneous architectures comprising different processing elements and hardware accelerators. In particular, SoC-FPGA platforms, including multiple general-purpose processing cores tightly coupled with an FPGA fabric, represent an attractive solution due to their flexibility, efficiency, and timing predictability. On these platforms, dedicated hardware accelerators implemented on the FPGA fabric can offload computationally intensive activities from general-purpose processing cores. Furthermore, dynamic partial reconfiguration allows virtualizing the FPGA resources by sharing them among multiple hardware accelerators over time. Although very promising, FPGA-based hardware acceleration also introduces new challenges, such as managing and scheduling multiple concurrent acceleration and reconfiguration requests. The FRED framework has been proposed to address these challenges while preserving the predictability required by real-time systems. FRED is based on a device model that matches the capabilities of contemporary SoC-FPGA platforms and comes with an ad-hoc scheduling infrastructure designed to guarantee bounded response times for DPR-enabled accelerated tasks. This paper presents Fred-Linux, the reference implementation of the FRED framework for GNU/Linux. Fred-Linux allows developing rich applications while leveraging predictable FPGA-based hardware acceleration for performing heavy computations. Fred-Linux has been developed using the Zynq-7000 and Zynq-UltraScale+ by Xilinx as reference platforms, and it can be easily ported and extended on other platforms thanks to its modular design.

Published
2022

30. Experimental characterization of three-dimensional Graphene’s thermoacoustic response and its theoretical modelling

Author

R. Lardat, Philippe Pernod, Edwin Hang Tong Teo, Dunlin Tan, Philippe Coquet, Olivier Bou-Matar, Zhi Lin Ngoh, Stefano Giordano, Pierre Guiraud, CNRS International - NTU - Thales Research Alliance (CINTRA), THALES [France]-Nanyang Technological University [Singapour]-Centre National de la Recherche Scientifique (CNRS), Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), Acoustique Impulsionnelle & Magnéto-Acoustique Non linéaire - Fluides, Interfaces Liquides & Micro-Systèmes - IEMN (AIMAN-FILMS - IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), Laboratoire International associé sur les phénomènes Critiques et Supercritiques en électronique fonctionnelle, acoustique et fluidique (LIA LICS/LEMAC), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), Thales Underwater Systems (TUS), THALES [France], This study is supported in part by the Economic Development Board of Singapore under the Industrial Postgraduate Program (EDB-IPP) with Thales Solutions Asia Pte Ltd and Temasek Laboratories@Nanyang Technological University seed funding. It is also supported by the French DGA (Direction Générale de l'Armement) under the Conventions Industrielles de Formation par la REcherche Program (CIFRE) with Thales Underwater Systems. This study is developed in collaboration with CINTRA, UMI 3288 CNRS/NTU/THALES (Singapore)., CNRS International NTU THALES Research Alliance (UMI CINTRA), THALES-Nanyang Technological University [Singapour]-Centre National de la Recherche Scientifique (CNRS), Acoustique Impulsionnelle & Magnéto-Acoustique Non linéaire - Fluides, Interfaces Liquides & Micro-Systèmes - IEMN (AIMAN-FILMS-IEMN), Institut d’Électronique, de Microélectronique et de Nanotechnologie - Département Opto-Acousto-Électronique - UMR 8520 (IEMN-DOAE), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), THALES, School of Electrical and Electronic Engineering, Thales Solutions Asia Pte Ltd, Thales Underwater Systems, and Temasek Laboratories

Subjects
Materials science, theoretical modelling, Scanning electron microscope, thermoacoustics, chemistry.chemical_element, loudspeaker, 02 engineering and technology, 010402 general chemistry, 01 natural sciences, chemical vapor deposition, [SPI.MAT]Engineering Sciences [physics]/Materials, law.invention, symbols.namesake, law, General Materials Science, three-dimensional graphene (3D-C), [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph], Graphene, business.industry, Thermoacoustics, Three-dimensional Graphene, General Chemistry, 021001 nanoscience & nanotechnology, Compression (physics), Microstructure, 0104 chemical sciences, Characterization (materials science), chemistry, symbols, Optoelectronics, Electrical and electronic engineering::Nanoelectronics [Engineering], 0210 nano-technology, Raman spectroscopy, business, Carbon
Abstract

In the past decade, a lot of research has been conducted on the potential of carbon nanostructured materials to emit sound via thermoacoustics through both simulations and experiments. However, experimental validation of simulations for three-dimensional graphene (3D-C), which has a complicated 3D structure, has yet to be achieved. In this paper, 3D-C is synthesized via thermal chemical vapor deposition and its microstructure and quality tested using Scanning Electron Microscopy and Raman spectroscopy respectively. Then, a two temperature model is used to predict the effects of numerous parameters: frequency, input power, sample size, connection area, connection path, pores per inch, thickness, compression as well as the addition of a backing on the acoustic performance and temperature of the sample. The experimental results presented in this paper validate the predictions of the adopted two temperature model. The efficiency of 3D-C is then compared with results presented in other studies to understand how the presented 3D-C fared against ones from the literature as well as other carbon nanostructured materials. Accepted version This study is supported in part by the Economic Development Board of Singapore under the Industrial Postgraduate Program (EDB-IPP) with Thales Solutions Asia Pte Ltd and Temasek Laboratories@Nanyang Technological University seed funding. It is also supported by the French DGA (Direction Générale de l'Armement) under the Conventions Industrielles de Formation par la REcherche Program (CIFRE) with Thales Underwater Systems. This study is developed in collaboration with CINTRA, UMI 3288 CNRS/NTU/THALES (Singapore).

Published
2020

31. A comparative study of human facial age estimation: handcrafted features vs. deep features

Author

Abdelkrim Ouafi, Salah Eddine Bekhouche, Fadi Dornaika, Azeddine Benlamoudi, Abdelmalik Taleb-Ahmed, Laboratory of Development in Mechanics and Materials, University of Djelfa, Algeria (LDMM), Speech Interactive Research Group (RG) (University of the Basque Country / Universidad del País Vasco (UPV/EHU)), University of Kasdi Merbah Ouargla, Laboratoire Energie Signal Images et Automatique [Univ Ngaoundéré] (LESIA), Université de Ngaoundéré/University of Ngaoundéré [Cameroun] (UN), Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), COMmunications NUMériques - IEMN (COMNUM - IEMN), Institut d’Électronique, de Microélectronique et de Nanotechnologie - Département Opto-Acousto-Électronique - UMR 8520 (IEMN-DOAE), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), University of the Basque Country/Euskal Herriko Unibertsitatea (UPV/EHU), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), and Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)

Subjects
Biometrics, Computer Networks and Communications, Computer science, Feature extraction, 02 engineering and technology, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Deep features, [SPI]Engineering Sciences [physics], Pyramid, 0202 electrical engineering, electronic engineering, information engineering, Media Technology, [INFO]Computer Science [cs], Pyramid (image processing), Representation (mathematics), business.industry, 020207 software engineering, Pattern recognition, 16. Peace & justice, [SPI.TRON]Engineering Sciences [physics]/Electronics, Handcrafted features, Support vector machine, Support vector regression, Hardware and Architecture, Face (geometry), Age estimation, Artificial intelligence, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Software
Abstract

International audience; In recent times, the topic of human facial age estimation attracted much attention. This is due to its ability to improve biometrics systems. Recently, several applications that are based on the demographic attributes estimation have been developed. These include law enforcement, re-identification in videos, planed marketing, intelligent advertising, social media, and human-computer interaction. The main contributions of the paper are as follows. Firstly, it extends some handcrafted models that are based on the Pyramid Multi Level (PML) face representation. Secondly, it evaluates the performance of two different kinds of features that are handcrafted and deep features. It compares handcrafted and deep features in terms of accuracy and computational complexity. The proposed scheme of study includes the following three main steps: 1) face preprocessing; 2) feature extraction (two different kinds of features are studied: handcrafted and deep features); 3) feeding the obtained features to a linear regressor. In addition, we investigate the strengths and weaknesses of handcrafted and deep features when used in facial age estimation. Experiments are run on three public databases (FG-NET, PAL and FACES). These experiments show that both handcrafted and deep features are effective for facial age estimation.

Published
2020

32. High-Frequency Noise Characterization and Modeling of Graphene Field-Effect Transistors

Author

Gilles Dambrine, Emiliano Pallecchi, Marina Deng, Thomas Zimmer, Wei Wei, Dalal Fadil, Sebastien Fregonese, Magali De Matos, Henri Happy, Laboratoire de l'intégration, du matériau au système (IMS), Université Sciences et Technologies - Bordeaux 1-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS), Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), Carbon-IEMN (CARBON-IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), Advanced NanOmeter DEvices - IEMN (ANODE - IEMN), NANOELECTRONIQUE/MODEL, Université Sciences et Technologies - Bordeaux 1-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS), Renatech Network, Université Sciences et Technologies - Bordeaux 1 (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS), Carbon - IEMN (CARBON - IEMN), and Université Sciences et Technologies - Bordeaux 1 (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1 (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)

Subjects
Radiation, Materials science, Noise measurement, Graphene, business.industry, Transistor, 020206 networking & telecommunications, 02 engineering and technology, Chemical vapor deposition, Condensed Matter Physics, Noise figure, 7. Clean energy, law.invention, chemistry.chemical_compound, chemistry, law, 0202 electrical engineering, electronic engineering, information engineering, Scattering parameters, Silicon carbide, Optoelectronics, [SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics, Electrical and Electronic Engineering, business, Noise (radio)
Abstract

International audience; This article presents the small-signal and noise characterization of different technologies based on chemical vapor deposition (CVD) and silicon-carbide (SiC) graphene field-effect transistors (GFETs). The noise model, built on noise figure measurements under 50 Ω using the F 50 method, was verified by additional source-pull measurements, with special care for the GFET stability. The four noise parameters were then extracted by using the validated F 50 model up to 18 GHz, and the correlations between noise and small-signal parameters were shown for two different configurations: top-gated and back-gated GFETs.

Published
2020

33. Capturing Privacy-Preserving User Contexts with IndoorHash

Author

Romain Rouvoy, Isabelle Chrisment, Lakhdar Meftah, Self-adaptation for distributed services and large software systems (SPIRALS), Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), Resilience and Elasticity for Security and ScalabiliTy of dynamic networked systems (RESIST), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Networks, Systems and Services (LORIA - NSS), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Inria Project Lab BetterNet BetterNet, Anne Remke, Valerio Schiavoni, and ANR-15-CE25-0013,BottleNet,Comprendre et diagnostiquer les dégradations des communications de bout en bout dans l'Internet(2015)

Subjects
050101 languages & linguistics, Mobile computing, business.industry, Computer science, Scale (chemistry), 05 social sciences, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], Context (language use), 02 engineering and technology, Data science, Article, Environmental data, Privacy preserving, [INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing, User privacy, [INFO.INFO-MC]Computer Science [cs]/Mobile Computing, Order (business), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, 0501 psychology and cognitive sciences, Location hash, Internet of Things, business
Abstract

International audience; IoT devices are ubiquitous and widely adopted by end-users to gather personal and environmental data that often need to be put into context in order to gain insights. In particular, location is often a critical context information that is required by third parties in order to analyse such data at scale. However, sharing this information is i) sensitive for the user privacy and ii) hard to capture when considering indoor environments.This paper therefore addresses the challenge of producing a new location hash, named IndoorHash, that captures the indoor location of a user, without disclosing the physical coordinates, thus preserving their privacy. This location hash leverages surrounding infrastructure, such as WiFi access points, to compute a key that uniquely identifies an indoor location.Location hashes are only known from users physically visiting these locations, thus enabling a new generation of privacy-preserving crowdsourcing mobile applications that protect from third parties re-identification attacks. We validate our results with a crowdsourcing campaign of 30 mobile devices during 4 weeks of data collection.

Published
2020

34. Tunable photo-responsive elastic metamaterials

Author

Antonio Gliozzi, Marco Miniaci, Benjamin Morin, Andrea Bergamini, Annalisa Chiappone, Emiliano Descrovi, Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), Acoustique - IEMN, Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), Politecnico di Torino = Polytechnic of Turin (Polito), Acoustique - IEMN (ACOUSTIQUE - IEMN), Swiss Federal Laboratories for Materials Science and Technology [Dübendorf] (EMPA), and Norwegian University of Science and Technology (NTNU)

Subjects
Materials for devices, Frequency response, Materials science, Frequency band, Science, General Physics and Astronomy, Physics::Optics, 02 engineering and technology, 01 natural sciences, General Biochemistry, Genetics and Molecular Biology, Article, [SPI.MAT]Engineering Sciences [physics]/Materials, [SPI]Engineering Sciences [physics], 0103 physical sciences, Tunable metamaterials, lcsh:Science, 010306 general physics, Multidisciplinary, business.industry, Metamaterial, General Chemistry, Acoustic wave, Acoustics, 021001 nanoscience & nanotechnology, Elsatic Waves propagations, Magnetic field, Transmission (telecommunications), Metamaterials, Optoelectronics, Photoresponsive materials, lcsh:Q, 0210 nano-technology, business, Light field, Radio wave
Abstract

The metamaterial paradigm has allowed an unprecedented space-time control of various physical fields, including elastic and acoustic waves. Despite the wide variety of metamaterial configurations proposed so far, most of the existing solutions display a frequency response that cannot be tuned, once the structures are fabricated. Few exceptions include systems controlled by electric or magnetic fields, temperature, radio waves and mechanical stimuli, which may often be unpractical for real-world implementations. To overcome this limitation, we introduce here a polymeric 3D-printed elastic metamaterial whose transmission spectrum can be deterministically tuned by a light field. We demonstrate the reversible doubling of the width of an existing frequency band gap upon selective laser illumination. This feature is exploited to provide an elastic-switch functionality with a one-minute lag time, over one hundred cycles. In perspective, light-responsive components can bring substantial improvements to active devices for elastic wave control, such as beam-splitters, switches and filters., Here, the authors present a light-responsive elastic metamaterial whose transmission spectrum can be tuned by light stimuli. More specifically, we demonstrate that an appropriate laser illumination is effective in reversibly widening an existing frequency band gap, doubling its initial value.

Published
2020

35. Tensor cross-view quadratic discriminant analysis for kinship verification in the wild

Author

Abdelmalik Ouamane, Oualid Laiadi, Abdenour Hadid, Abdelmalik Taleb-Ahmed, Abdelhamid Benakcha, Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), University Mohamed Khider Biskra, Algeria, Laboratoire de Génie Electrique [Univ. Biskra] (LGEB), Université Mohamed Khider de Biskra (BISKRA), COMmunications NUMériques - IEMN (COMNUM - IEMN), Institut d’Électronique, de Microélectronique et de Nanotechnologie - Département Opto-Acousto-Électronique - UMR 8520 (IEMN-DOAE), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), University of Oulu, Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), and Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)

Subjects
0209 industrial biotechnology, Multilinear map, cross-view, Computer science, Tensor XQDA, Cognitive Neuroscience, Feature vector, 02 engineering and technology, Kinship verification, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Cross-view, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], [SPI]Engineering Sciences [physics], 020901 industrial engineering & automation, Artificial Intelligence, Margin (machine learning), Tensor (intrinsic definition), 0202 electrical engineering, electronic engineering, information engineering, [INFO]Computer Science [cs], Tensor, tensor XQDA, business.industry, kinship verification, Pattern recognition, Quadratic classifier, 16. Peace & justice, [SPI.TRON]Engineering Sciences [physics]/Electronics, Computer Science Applications, Transformation (function), Metric (mathematics), 020201 artificial intelligence & image processing, Artificial intelligence, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Subspace topology
Abstract

International audience; This paper presents a new Tensor Cross-view Quadratic Discriminant Analysis (TXQDA) method based on the XQDA method for kinship verification in the wild. Many researchers used metric learning methods and have achieved reasonably good performance in kinship verification, none of these methods looks at the kinship verification as a cross-view matching problem. To tackle this issue, we propose a tensor cross-view method to train multilinear data using local histograms of local features descriptors. Therefore, we learn a hierarchical tensor transformation to project each pair face images into the same implicit feature space, in which the distance of each positive pair is minimized and that of each negative pair is maximized. Moreover, TXQDA was proposed to separate the multifactor structure of face images (i.e. kinship, age, gender, expression, illumination and pose) from different dimensions of the tensor. Thus, our TXQDA achieves better classification results through discovering a low dimensional tensor subspace that enlarges the margin of different kin relation classes. Experimental evaluation on five challenging databases namely Cornell KinFace, UB KinFace, TSKinFace, KinFaceW-II and FIW databases, show that the proposed TXQDA significantly outperforms the current state of the art. (c) 2019 Elsevier B.V. All rights reserved.

Published
2020

36. Electromagnetic Physical Numerical Modeling of a GaN Distributed Transferred Electron Device–Based Planar Waveguide THz Oscillator

Author

C. Dalle, Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), SImuLation PHYsique de Dispositifs Electroniques et opto-electroniques - IEMN (SILPHYDE - IEMN), and Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)

Subjects
010302 applied physics, Imagination, Materials science, business.industry, Terahertz radiation, media_common.quotation_subject, Numerical modeling, 01 natural sciences, Waveguide (optics), [SPI.TRON]Engineering Sciences [physics]/Electronics, Electronic, Optical and Magnetic Materials, [SPI]Engineering Sciences [physics], [SPI.ELEC]Engineering Sciences [physics]/Electromagnetism, Planar, 0103 physical sciences, Optoelectronics, Electrical and Electronic Engineering, business, ComputingMilieux_MISCELLANEOUS, media_common, Gunn diode
Abstract

[#16541] Article dans une revue internationale avec comité de lecture suite à une conférence 22nd International Conference on the Computation of Electromagnetic Fields, COMPUMAG 2019; International audience; The radio frequency (RF) operation of a planar waveguide THz oscillator based on the distributed transferred electron device (DTED) is theoretically investigated by means of 2-D time-domain numerical physical modeling based on the self-consistent solution of the Maxwell and free electron energy-momentum macroscopic transport equations.

Published
2020

37. Table-Free Multiple Bit-Error Correction Using the CRC Syndrome

Author

Vivien Boussard, Stephane Coulombe, Francois-Xavier Coudoux, Patrick Corlay, Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), COMmunications NUMériques - IEMN (COMNUM - IEMN), Institut d’Électronique, de Microélectronique et de Nanotechnologie - Département Opto-Acousto-Électronique - UMR 8520 (IEMN-DOAE), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Natural Sciences and Engineering Research Council of Canada (NSERC)Natural Sciences and Engineering Research Council of Canada (NSERC), UPHF, Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Université du Québec à Montréal = University of Québec in Montréal (UQAM), INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), and Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)

Subjects
error correction, General Computer Science, Computer science, Single element, 02 engineering and technology, Bluetooth low energy (BLE), [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], [SPI]Engineering Sciences [physics], Cyclic redundancy check, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, cyclic redundancy check (CRC), Protocol (object-oriented programming), Data communication, business.industry, Network packet, General Engineering, 020206 networking & telecommunications, Internet of Things (IoT), Bit (horse), Table (database), 020201 artificial intelligence & image processing, lcsh:Electrical engineering. Electronics. Nuclear engineering, Error detection and correction, Internet of Things, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, lcsh:TK1-9971, Algorithm
Abstract

International audience; In this paper, we propose a novel method for correcting multiple errors in data packets, using the Cyclic Redundancy Check (CRC) syndrome present in low layers of protocol stacks. The proposed method generates the whole list of error patterns, leading to a received syndrome containing up to a given maximum number of errors. Our approach is table-free, is computationally efficient, and can instantly correct erroneous packets when the output list contains a single element. A performance study is conducted, and shows that the proposed approach outperforms existing ones in Bluetooth Low Energy (BLE) as it can correct all single- and double-error patterns as well as most triple-error cases when considering small payloads used in Internet of Things (IoT) applications.

Published
2020

38. Fractal Decomposition Approach for Continuous Multi-Objective Optimization Problems

Author

El Ghazali Talbi, Leo Souquet, Amir Nakib, Data ScienceTech Institute (DSTI Labs), Optimisation de grande taille et calcul large échelle (BONUS), Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Laboratoire Images, Signaux et Systèmes Intelligents (LISSI), and Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)

Subjects
Mathematical optimization, Optimization problem, General Computer Science, Computer science, 020209 energy, local search, 02 engineering and technology, Multi-objective optimization, Containers, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Fractal, Virtualization, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, Local search (optimization), [INFO]Computer Science [cs], Electrical and Electronic Engineering, large-scale optimization, Metaheuristic, Continuous optimization, metaheuristics, Docker, business.industry, continuous optimization, General Engineering, Sorting, Pareto principle, geometric fractal decomposition, 020201 artificial intelligence & image processing, Kubernetes, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, lcsh:TK1-9971
Abstract

International audience; Multi-objective optimization problems (MOPs) have been widely studied during the last decades. In this paper, we present a new intrinsically parallel approach based on Fractal decomposition (FDA) to solve MOPs. The key contribution of the proposed approach is to divide recursively the decisionspace using hyperspheres. Two different methods were investigated: the first one is based on scalarization that has been distributed on a parallel multi-node architecture virtual environments and taking profit from the FDA’s properties, while the second method is based on Pareto dominance sorting. A comparison with state of the art algorithms on different well known benchmarks shows the efficiency and the robustness of the proposed decomposition approaches.

Published
2020

39. Relationship between design strategies of commercial three-way monolithic catalysts and their performances in realistic conditions

Author

André Nicolle, Christophe Chaillou, Caroline Norsic, Shreya Nandi, Christophe Dujardin, Emmanuel Laigle, Pascal Granger, Paola Arango, Melissandre Richard, Université de Lille, CNRS, Centrale Lille, ENSCL, Univ. Artois, Unité de Catalyse et Chimie du Solide - UMR 8181 [UCCS], Unité de Catalyse et Chimie du Solide (UCCS) - UMR 8181, Unité de Catalyse et Chimie du Solide - UMR 8181 (UCCS), and Université d'Artois (UA)-Centrale Lille-Institut de Chimie du CNRS (INC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
Materials science, Cost effectiveness, Automotive industry, Three-way catalysis, 02 engineering and technology, engineering.material, Monolithic Catalyst, Commercial Strategies, Washcoat, Emission control, 010402 general chemistry, 01 natural sciences, Catalysis, Reduction (complexity), Gasoline, Process engineering, NOx, business.industry, General Chemistry, [CHIM.CATA]Chemical Sciences/Catalysis, 021001 nanoscience & nanotechnology, 0104 chemical sciences, engineering, Noble metal, 0210 nano-technology, Science, technology and society, business
Abstract

International audience; Monolith-shaped three-way catalysts (TWC) are always at the edge of science and technology as a response to the stringent updates on the emission standards worldwide. In spite of rapid research on TWC materials, the exact compositions adapted by major automotive companies are not fully known. This study focuses on comparing two fresh commercial monolithic catalysts for gasoline engines, namely, monolith-A and monolith-B, to highlight the significance of their manufacturing strategies by its characterization and catalytic evaluation under realistic lean/rich/stoichiometric regimes. Firstly, monolith-A demonstrates a zoning on its front and back side with high Pd and Rh loading to enhance CO/HC oxidation and NOx reduction, respectively, having higher amounts of trace dopants like La, Y, Pr and S. Whereas, monolith-B has a homogeneous composition with much lower noble metal/trace elements content without any Pr and S. Secondly, the double-layer washcoating is employed by following different routes with distinct compositions of alumina and ceria-zirconia. Monolith-B showed better low temperature CO oxidation performance while monolith-A performed better for NOx reduction owing to higher Rh loading. Overall, the zoning strategy of monolith-A raises question on its cost effectiveness in regards to its performance while poor reduction capabilities is exhibited by monolith-B. This study highlights that the latest TWC strategies have a scope of further development particularly with respect to the catalytic performance/expense ratio.

Published
2022

40. Measurement-based Investigation of the DC and RF Transconductance for Various HEMT Technologies in High-and Low-temperature Conditions

Author

Christophe Gaquiere, Mohammad A. Alim, Giovanni Crupi, Anwar Jarndal, Puissance - IEMN (PUISSANCE - IEMN), Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), and University of Messina

Subjects
Materials science, business.industry, Transconductance, GaAs, temperature, High-electron-mobility transistor, GaN, multi-finger, [SPI]Engineering Sciences [physics], transconductance, Optoelectronics, multi-bias, business, HEMT
Abstract

The purpose of this experimental study is to evaluate quantitatively the impact of the temperature on the behavior of various high electron-mobility transistor (HEMT) technologies through the analysis of the DC and RF transconductance. The experimental data are reported for six different HEMT devices, in order to develop a comparative analysis based on various technologies, including gallium arsenide (GaAs) and gallium nitride (GaN) materials, matched and pseudomorphic HEMTs, single- (S-H) and double-heterojunction (D-H) HEMTs, and both virgin and multi-layer devices. The reported findings show that the impact of the ambient temperature on the HEMT behavior strongly depend on the tested technology and operating conditions. As a matter of fact, a higher temperature can lead to increased or degraded transconductance, depending on the device technologies and bias point. In the GaAs-based devices, an operating bias condition at which the DC and RF transconductance are temperature insensitive can be defined, owing to two-opposite temperature-dependent effects counteracting with each other.

Published
2022

41. A sequential approach for a multi-commodity two-echelon distribution problem

Author

Diego Cattaruzza, Frédéric Semet, Maxime Ogier, Claudia Archetti, Wenjuan Gu, M. Grazia Speranza, Cattaruzza, Diego, Beijing University of Posts and Telecommunications (BUPT), ESSEC Business School, Integrated Optimization with Complex Structure (INOCS), Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université libre de Bruxelles (ULB)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Università degli Studi di Brescia = University of Brescia (UniBs), Essec Business School, and Università degli Studi di Brescia [Brescia]

Subjects
Mathematical optimization, General Computer Science, [INFO.INFO-RO] Computer Science [cs]/Operations Research [cs.RO], Computer science, sequential solution, Supply chain, Commodity, 0211 other engineering and technologies, Distribution (economics), 02 engineering and technology, Set (abstract data type), Consolidation (business), Order (exchange), 0502 economics and business, local fresh food supply chain, routing problem, multicommodity, Distribution center, 050210 logistics & transportation, 021103 operations research, business.industry, 05 social sciences, General Engineering, [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO], Heuristics, business
Abstract

International audience; We address a Multi-Commodity two-echelon Distribution Problem (MC2DP) where three sets of stakeholders are involved: suppliers, distribution centers, and customers. Multiple commodities have to be sent from suppliers to customers, using multiple distribution centers for consolidation purposes. Commodities are collected from the suppliers and delivered to the distribution centers with direct trips, while a fleet of homogeneous vehicles distributes commodities to customers. Commodities are compatible, that is any vehicle can transport any set of commodities as long as its capacity is not exceeded. The goal is to minimize the total transportation cost from suppliers to customers. We present two sequential schemes based on the solution, in a different order, of a collection and a delivery subproblem. In both cases, the solution of the first subproblem determines the quantity of each commodity at each distribution center. The second subproblem takes this information as input. We also propose different strategies to guide the solution of the first subproblem in order to take into account the impact of its solution on the second subproblem. The proposed sequential heuristics are evaluated and compared both on randomly generated instances and on a case study related to a short and local fresh food supply chain. The results show the impact of problem characteristics on solution strategies.

Published
2022

42. Topological cavities in phononic plates for robust energy harvesting

Author

Yabin Jin, Bahram Djafari-Rouhani, Zhihui Wen, Timon Rabczuk, Penglin Gao, Xiaoying Zhuang, Tongji University, Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Physique - IEMN (PHYSIQUE - IEMN), and Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)

Subjects
0209 industrial biotechnology, Work (thermodynamics), Computer science, Aerospace Engineering, 02 engineering and technology, Topology, 01 natural sciences, [SPI]Engineering Sciences [physics], 020901 industrial engineering & automation, Robustness (computer science), 0103 physical sciences, Wireless, 010301 acoustics, ComputingMilieux_MISCELLANEOUS, Civil and Structural Engineering, business.industry, Mechanical Engineering, Computer Science Applications, Power (physics), Electricity generation, Control and Systems Engineering, Signal Processing, Structural health monitoring, business, Energy harvesting, Excitation
Abstract

Piezoelectric energy harvesting has attracted tremendous interest for designing sustainable self-powered devices/systems targeted to special environment such as wireless or wearable applications. The traditional cavity (e.g., phononic cavity mode) excitation is highly applicable in terms of sufficient power generation, nevertheless, has to endure the drawback of extremely poor robustness intrinsic to the trivial cavity modes. We propose to use phononic thin plate systems for robust energy harvesting application relying on zero-dimensional cavities confined by the Kekule distorted topological vortices. The harvesting power induced by topological cavities is about 30 times that of the bare plate. Further studies on the effects of deliberately introduced defects on the output power show that the proposed energy harvesting system is highly robust against symmetry-preserving defects, and is less influenced even for symmetry-breaking defects at moderate perturbation level. Beyond the reported energy harvesting application, we foresee that our work may open avenues for robust operations in the realm of wireless sensing and structural health monitoring.

Published
2022

43. Combination of selective area sublimation of p-GaN and regrowth of AlGaN for the co-integration of enhancement mode and depletion mode high electron mobility transistors

Author

Nicolas Defrance, Thi Huong Ngo, Eric Frayssinet, Benjamin Damilano, Flavien Cozette, Rémi Comyn, Stéphane Vézian, Hassan Maher, Julien Brault, Nathalie Labat, F. Lecourt, Yvon Cordier, Sébastien Chenot, Centre de recherche sur l'hétéroepitaxie et ses applications (CRHEA), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Institut Interdisciplinaire d'Innovation Technologique [Sherbrooke] (3IT), Université de Sherbrooke (UdeS), Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Puissance - IEMN (PUISSANCE - IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), OMMIC, Laboratoire de l'intégration, du matériau au système (IMS), Université Sciences et Technologies - Bordeaux 1-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS), Laboratoire Nanotechnologies et Nanosystèmes [Sherbrooke] (LN2), Université de Sherbrooke (UdeS)-École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-École supérieure de Chimie Physique Electronique de Lyon (CPE)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), This work was supported by French technology facility network RENATECH and the French National Research Agency (ANR) through the projects ED-GaN (ANR-16-CE24-0026) and the 'Investissements d’Avenir' program GaNeX (ANR-11-LABX-0014)., Renatech Network, ANR-16-CE24-0026,ED-GaN,Co-intégration des transistors GaN à enrichissement et à déplétion pour les circuits de communication RF de la prochaine génération(2016), ANR-11-LABX-0014,GANEX,Réseau national sur GaN(2011), Université Nice Sophia Antipolis (1965 - 2019) (UNS), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université Sciences et Technologies - Bordeaux 1 (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS), and Université de Lyon-Université de Lyon-École Supérieure de Chimie Physique Électronique de Lyon (CPE)-Institut National des Sciences Appliquées de Lyon (INSA Lyon)

Subjects
Fabrication, Materials science, Evaporation, Regrowth, 02 engineering and technology, High-electron-mobility transistor, law.invention, GaN, [SPI.MAT]Engineering Sciences [physics]/Materials, Barrier layer, law, 0202 electrical engineering, electronic engineering, information engineering, Materials Chemistry, Electrical and Electronic Engineering, High electron, HEMT, business.industry, 020208 electrical & electronic engineering, Transistor, 021001 nanoscience & nanotechnology, Condensed Matter Physics, Electronic, Optical and Magnetic Materials, [SPI.TRON]Engineering Sciences [physics]/Electronics, Selective sublimation, Optoelectronics, Sublimation (phase transition), 0210 nano-technology, business, Layer (electronics)
Abstract

International audience; We report on the fabrication of an enhancement mode p-GaN/AlN/GaN high electron mobility transistor with selective area sublimation under vacuum of the p-GaN cap layer. The GaN evaporation selectivity is demonstrated on the thin 2 nm AlN barrier layer. Furthermore, the regrowth of AlGaN is a major key to increase the maximum drain current in the transistors and enables the co-integration with depletion mode devices.

Published
2022

44. Machine learning based interpretation of microkinetic data: a Fischer–Tropsch synthesis case study

Author

Andrei Y. Khodakov, Anoop Chakkingal, Joris Thybaut, Alan J. Barrios, Jeroen Poissonnier, Mirella Virginie, Pieter Janssens, Laboratory for Chemical Technology, Universiteit Gent = Ghent University (UGENT), UCCS Équipe Catalyse Supramoléculaire, Unité de Catalyse et Chimie du Solide - UMR 8181 (UCCS), Université d'Artois (UA)-Centrale Lille-Institut de Chimie du CNRS (INC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université d'Artois (UA)-Centrale Lille-Institut de Chimie du CNRS (INC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), and Université d'Artois (UA)-Centrale Lille-Institut de Chimie du CNRS (INC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
Technology and Engineering, Computer science, Machine learning, computer.software_genre, Catalysis, Interpretation (model theory), Permutation, DESIGN, Range (statistics), Chemical Engineering (miscellaneous), [CHIM]Chemical Sciences, [INFO]Computer Science [cs], OPTIMIZATION, Fluid Flow and Transfer Processes, Artificial neural network, Basis (linear algebra), business.industry, Process Chemistry and Technology, ARTIFICIAL-INTELLIGENCE, Process (computing), Fischer–Tropsch process, MODEL, Ranking, Chemistry (miscellaneous), Artificial intelligence, business, computer
Abstract

Machine-learning (ML) methods, such as artificial neural networks (ANNs), bring the data-driven design of chemical reactions within reach. Simultaneously with the verification of the absence of any bias in the machine learning model as compared to the microkinetic data, interpretation techniques such as permutation importance, SHAP values and partial dependence plots allow for a more systematic (model agnostic) analysis of these data. In the present work, this methodology is demonstrated for Fischer–Tropsch synthesis (FTS) on a cobalt catalyst, with methane yield as the single dominant output, as a case study. For the purpose of this case study, the dataset required for training the ANN model is synthetically generated using a single-event microkinetic (SEMK) model. With a number of 3 hidden layers with 20 nodes, the ANN model is able to adequately reproduce the SEMK results. The relative ranking of the process variables, as learnt by the ANN model, is identified using interpretation techniques, with the methane yield being most dependent on the temperature, followed by the space-time and syngas molar inlet ratio, in the investigated range of operating conditions. This is in line with the physicochemical understanding from SEMK. A systematic approach for analysing microkinetic data, generally analysed on a case-specific basis, is thus developed by combining more widely used interpretation techniques in data science with the ANN.

Published
2021

45. Recent Progress on the Scanning Tunneling Microscopy and Spectroscopy Study of Semiconductor Heterojunctions

Author

Yue Wang, Bruno Grandidier, Deren Yang, Haolin Wang, Xiaodong Pi, Wenbing Peng, Lei Yin, Hui Lu, Physique - IEMN (PHYSIQUE - IEMN), Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), National Natural Science Foundation of China, NSFC: 61774133, 91964107, National Key Research and Development Program of China, NKRDPC: 2017YFA0205704, 2018YFB2200101, and Fundamental Research Funds for the Central Universities: 2018XZZX003‐02

Subjects
Materials science, Scanning tunneling spectroscopy, Band offset, law.invention, Biomaterials, Condensed Matter::Materials Science, [SPI]Engineering Sciences [physics], Depletion region, law, Condensed Matter::Superconductivity, band alignment, General Materials Science, Spectroscopy, Quantum tunnelling, semiconductor heterojunctions, business.industry, Heterojunction, General Chemistry, Condensed Matter::Mesoscopic Systems and Quantum Hall Effect, Semiconductor, Optoelectronics, interface, scanning tunneling microscopy, scanning tunneling spectroscopy, Scanning tunneling microscope, business, Biotechnology
Abstract

International audience; The band alignment, interface states, interface coupling, and carrier transport of semiconductor heterojunctions (SHs) need to be well understood for the design and fabrication of various important semiconductor structures and devices. Scanning tunneling microscopy (STM) with high spatial resolution and scanning tunneling spectroscopy (STS) with high energy resolution are significantly contributing to the understanding on the important properties of SHs. In this work, the recent progress on the use of STM and STS to study lateral, vertical and bulk SHs is reviewed. The spatial structures of SHs with atomically flat surface have been examined with STM. The electronic band structures (e. g., the band offset, interface state, and space charge region) of SHs are measured with STS. Combined with the spatial structures and the tunneling spectra features, the mechanism for the carrier transport in the SH may be proposed. © 2021 Wiley-VCH GmbH

Published
2021

46. Theoretical Analysis on Nonlinear Buckling, Post-Buckling of Slender Beams and Bi-Stable Mechanisms

Author

Gang Zheng, Ke Wu, Deformable Robots Simulation Team (DEFROST ), Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), and Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
Materials science, business.industry, Mechanical Engineering, 02 engineering and technology, Structural engineering, 021001 nanoscience & nanotechnology, 020303 mechanical engineering & transports, Bi stable, 0203 mechanical engineering, Buckling, [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO], Nonlinear buckling, 0210 nano-technology, business
Abstract

Compliant mechanisms (CMs) are used to transfer motion, force, and energy, taking advantages of the elastic deformation of the involved compliant members. A branch of special type of elastic phenomenon called (post) buckling has been widely considered in CMs: avoiding buckling for better payload-bearing capacity and utilizing post-buckling to produce multi-stable states. This paper digs into the essence of beam’s buckling and post-buckling behaviors where we start from the famous Euler–Bernoulli beam theory and then extend the mentioned linear theory into geometrically nonlinear one to handle multi-mode buckling problems via introducing the concept of bifurcation theory. Five representative beam buckling cases are studied in this paper, followed by detailed theoretical investigations of their post-buckling behaviors where the multi-state property has been proved. We finally propose a novel type of bi-stable mechanisms termed as pre-buckled bi-stable mechanisms (PBMs) that integrate the features of both rigid and compliant mechanisms. The theoretical insights of PBMs are presented in detail. To the best of our knowledge, this paper is the first study on the theoretical derivation of the kinematic models of PBMs, which could be an important contribution to this field.

Published
2021

47. Channel state information-based cryptographic key generation for intelligent transportation systems

Author

Arnav Vaibhav Malawade, Soheyb Ribouh, Mohammad Abdullah Al Faruque, Kelvin Phan, Yassin Elhillali, Atika Rivenq, Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), COMmunications NUMériques - IEMN (COMNUM - IEMN), Institut d’Électronique, de Microélectronique et de Nanotechnologie - Département Opto-Acousto-Électronique - UMR 8520 (IEMN-DOAE), INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), no information, Université catholique de Lille (UCL)-Université catholique de Lille (UCL), INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), and Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)

Subjects
V2X communications, Computer science, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], [SPI]Engineering Sciences [physics], 0502 economics and business, Wireless, V2V security, [INFO]Computer Science [cs], IEEE 802.11p, Intelligent transportation system, 050210 logistics & transportation, Key generation, Universal Software Radio Peripheral, business.industry, Mechanical Engineering, Channel state information (CSI), physical layer key generation, 05 social sciences, Physical layer, Computer Science Applications, [SPI.TRON]Engineering Sciences [physics]/Electronics, Channel state information, QAM-Dem-Quan, Automotive Engineering, Communications protocol, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Communication channel, Computer network
Abstract

International audience; Due to the sensitivity of the information exchanged in Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) communication, generating secret keys is critical to secure these communications. As nature is open access, distributed keys are more vulnerable to attacks in the vehicular environment. Physical layer key generation methods using wireless channel characteristics show promise in preventing such attacks, generating keys independently, and removing the need for distribution. In this paper, we present a novel key generation approach in a real vehicular environment based on Channel State Information (CSI), including a new algorithm for key bit extraction. We implemented our algorithm using USRP B210 Software-Defined Radios (SDR) and the industry-standard V2X communication protocol: IEEE 802.11p. The proposed key generation protocol uses the CSI values of each sub-carrier as a source of randomness, from which bits are extracted using a new QAM demodulator quantizer (QAM-Dem-Quan). We compared our technique to state-of-the-art Received Signal Strength (RSS)-based approaches, and show that our method achieves better performance. Moreover, we reached a min-entropy of approximately 70% for the generated keys and a key generation rate of less than 150 mu s/key for key lengths ranging from 16 to 128 bits.

Published
2021

48. Dynamic Learning in Hyper-Heuristics to Solve Flowshop Problems

Author

Marie-Eléonore Kessaci, Lucas M. Pavelski, Myriam Regattieri Delgado, Federal University of Technology - Paraná (UTFPR), Operational Research, Knowledge And Data (ORKAD), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), and Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
0209 industrial biotechnology, Mathematical optimization, Job shop scheduling, Computer science, Heuristic, business.industry, Probability matching, 02 engineering and technology, [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO], [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM], Permutation, 020901 industrial engineering & automation, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Local search (optimization), Hyper-heuristic, Heuristics, business, Thompson sampling, ComputingMilieux_MISCELLANEOUS
Abstract

Hyper-heuristics (HHs) are algorithms suitable for designing heuristics. HHs perform the search divided in two levels: they look for heuristic components in the high level and the heuristic is used, in the low level, to solve a set of instances of one or more problems. Different from offline HHs, hyper-heuristics with dynamic learning select or generate heuristics during the search. This paper proposes a hyper-heuristic associated with a dynamic learning strategy for selecting Iterated Greedy (IG) components. The proposal is capable of selecting appropriate values for six IG components: local search, perturbation, destruction size, neighborhood size, destruction position and local search focus. The proposed HH is tested with six dynamic adaptation strategies: random, \(\epsilon \)-greedy, probability matching, multi-armed bandit, LinUCB, and Thompson Sampling (TS). The hyper-parameters of each strategy are tuned by irace. As a testbed, we use several instances with four different sizes (20, 50, 100 and 200 jobs) of three different formulations of flowshop problems (permutation, no-wait, no-idle), two distinct objectives (makespan, flowtime), and four processing time distributions (uniform, exponential and job or machine correlated). The results show that different strategies are most suitable for adapting different IG components, TS performs quite well for all components and, except for local search, using adaptation is always beneficial when compared with the IG running with standard parameters.

Published
2021

49. Towards 3D selective manipulation of cells and microparticles with spiraling holographic interdigitated transducers

Author

Michael Baudoin, Zhixiong Gong, Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Acoustique Impulsionnelle & Magnéto-Acoustique Non linéaire - Fluides, Interfaces Liquides & Micro-Systèmes - IEMN (AIMAN-FILMS - IEMN), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), and no information

Subjects
Physics, Acoustics and Ultrasonics, business.industry, Microfluidics, Holography, Phase (waves), Acoustics, law.invention, Angular spectrum method, Trap (computing), [SPI]Engineering Sciences [physics], Transducer, Arts and Humanities (miscellaneous), law, Tweezers, Frequency measurement, Optoelectronics, Axial symmetry, business, Interdigital transducers
Abstract

International audience; In previous papers [Baudoin et al., Sci. Adv. 5, eaav1967 (2019); Baudoin et al., Nat. Commun. 11, 4244 (2020)], our team demonstrated the possibility to trap and manipulate microparticles and cells selectively, in 2D and in a standard microfluidic environment with some spiraling interdigitated transducers (S-IDTs). These S-IDTs were designed as the phase hologram of specific wave structures called focused acoustical vortices. Here we explore theoretically with an angular spectrum code the 3D trapping capabilities of these transducers. We demonstrate: (i) that the field synthesized by S-IDTs creates a 3D radiation trap for microparticles and cells and (ii) that the trap can be moved axially by simply tuning the driving frequency. This work opens perspectives for 3D manipulation of cells with single beams acoustical tweezers.

Published
2021

50. The Fine-Structure Constant as a Ruler for the Band-Edge Light Absorption Strength of Bulk and Quantum-Confined Semiconductors

Author

Prins, P. Tim, Alimoradi Jazi, Maryam, Killilea, Niall A., Evers, Wiel H., Geiregat, Pieter, Heiss, Wolfgang, Houtepen, Arjan J., Delerue, Christophe, Hens, Zeger, Vanmaekelbergh, Daniel, Condensed Matter and Interfaces, Sub Inorganic Chemistry and Catalysis, Sub Condensed Matter and Interfaces, Debye Institute for Nanomaterials Science, Utrecht University [Utrecht], Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Delft University of Technology (TU Delft), Universiteit Gent = Ghent University (UGENT), Physique - IEMN (PHYSIQUE - IEMN), Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), support by The Netherlands Organization for Scientific Research (NWO, Grant 14614 'Q-Lumicon') and the European Research Council (ERC Advanced Grant 692691 'First step'). Z.H. acknowledges support by FWO-Vlaanderen (research project 17006602) and Ghent University (BOF-GOA 01G01019). D.V.M, W.H., C.D., and Z.H. acknowledge support from the European Commission via the Marie-Skłodowska Curie action Phonsi (H2020-MSCA-ITN-642656)., European Project: FIRST STEP, European Project: 642656,H2020,H2020-MSCA-ITN-2014,Phonsi(2015), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Universiteit Gent = Ghent University [Belgium] (UGENT), Condensed Matter and Interfaces, Sub Inorganic Chemistry and Catalysis, and Sub Condensed Matter and Interfaces

Subjects
Letter, Materials science, Exciton, Superlattice, Bioengineering, 02 engineering and technology, 01 natural sciences, Condensed Matter::Materials Science, 0103 physical sciences, General Materials Science, Quantum coupling, fine-structure constant, [PHYS.COND]Physics [physics]/Condensed Matter [cond-mat], 010306 general physics, Absorption (electromagnetic radiation), dielectric screening, optical transitions, Condensed matter physics, business.industry, Condensed Matter::Other, Mechanical Engineering, Fine-structure constant, General Chemistry, 021001 nanoscience & nanotechnology, Condensed Matter Physics, Condensed Matter::Mesoscopic Systems and Quantum Hall Effect, Chemistry, quantum coupling, Semiconductor, Quantum dot, Absorptance, light absorption, PBSE, 0210 nano-technology, business
Abstract

International audience; Low-dimensional semiconductors have found numerous applications in optoelectronics. However, a quantitative comparison of the absorption strength of lowdimensional versus bulk semiconductors has remained elusive. Here, we report generality in the band-edge light absorptance of semiconductors, independent of their dimensions. First, we provide atomistic tight-binding calculations that show that the absorptance of semiconductor quantum wells equals mπα (m = 1 or 2 with α as the fine-structure constant), in agreement with reported experimental results. Then, we show experimentally that a monolayer (superlattice) of quantum dots has similar absorptance, suggesting an absorptance quantum of mπα per (confined) exciton diameter. Extending this idea to bulk semiconductors, we experimentally demonstrate that an absorptance quantum equal to mπα per exciton Bohr diameter explains their widely varying absorption coefficients. We thus provided compelling evidence that the absorptance quantum πα per exciton diameter rules the band-edge absorption of all direct semiconductors, regardless of their dimension.

Published
2021

Catalog

Books, media, physical & digital resources
See catalog results