Publications
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A Reinforcement Learning-Based Node Selection for PBFT Consensus
Blockchain is nowadays a flourishing technology that served many domains (finance, supply chain, smart cities, healthcare, etc.) thanks to the immutability of data stored on it. In fact, before validating a block and appending it to the blockchain, most of the system nodes should agree on it and reach consensus. One of the most used […]
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APBFT: An Adaptive PBFT Consensus for Private Blockchains
As smart cities become more decentralized, the need for reliable and secure cyber-physical systems (CPS) that guarantee safe interactions and secure data storage without loss of privacy is continuously increasing. Blockchain is a rapidly emerging technology in this domain. It demonstrated effectiveness thanks to the cryptographic mechanisms it utilizes and to its immutability. Private blockchains […]
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Optimal techno-economic multi-level energy management of renewable-based DC microgrid for commercial buildings applications
An optimal techno-economic multi-level energy management strategy (EMS) is designed for a DC microgrid applied to a commercial building. The proposed power system is a grid-connected microgrid composed of a fuel cell (FC) system, a photovoltaic (PV) array, and a battery storage unit. The interaction between various types of power sources may lead to stability […]
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Usage des sentiments pour la conduite d’action : exemple d’entretiens d’accompagnement d’apprentis-ingénieurs
Le développement dans l’enseignement supérieur de l’individualisation des parcours a engendré un besoin d’accompagnement, entraînant à son tour un besoin de formation à cette fonction. Mais former à quels concepts ? Et notamment dans un entretien d’accompagnement, comment accéder sans perte de temps aux sujets ayant un enjeu ? Notre étude s’intéresse aux sentiments verbalisés […]
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L’approche par les capabilités dans le champ du travail et de la formation : vers une définition des environnements capacitants ?
De nombreux travaux conduits à partir du cadre des capabilités (Sen, 2001) interrogent la qualité des environnements de travail et/ou de formation, et leur capacité à soutenir la professionnalisation, le développement professionnel ou le pouvoir d’agir. Les capabilités se présentent comme une grille de lecture de ces processus, un outil d’évaluation de ces derniers. Plus […]
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Coordination revue Travail et apprentissage n°23
Dossier thématique sur les environnements capacitants
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FPBFT: A Fast PBFT Protocol for Private Blockchains
Blockchain is an emerging technology that enables storing data and sharing it among many entities without the need for a central organization. Data is stored in an append-only ledger after the majority of participants agree on it. This mechanism is called the consensus, and many protocols are proposed in the literature (PoW, PoS, DPoS, RAFT, […]
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Mitosis Detection in Breast Cancer with Deep Learning: A New Approach
In this work, we propose a new approach for spot- ting mitoses in breast cancer histology images. This new approach involves integrating two publicly accessible datasets following a normalization procedure of color. The mitotic samples are then enhanced by preserving the context to address class imbalance. After this, the candidate mitotic cells are classified into […]
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Deep learning model based on inceptionResnet-v2 for Finger vein recognition
In recent years, The pattern of finger veins is widely recognized as an effective biometric for identifying a person. The traditional finger vein identification systems are based on hand- crafted features. However, Finger vein systems has been switched toward automatic features extraction due to the emergence of deep neural networks that are capable of extracting […]
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FNR-GAN: FACE NORMALIZATION AND RECOGNITION WITH GENERATIVE ADVERSARIAL NETWORKS
The normalization of in-the-wild faces is a low-cost process which can both improve face recognition performances and reduce the computation complexity of face generation. In this paper, we present an unsupervised Face Normalization and Recognition within Generative Adversarial Networks (FNRGAN). This proposed approach generates and recognizes faces from normalized features of in-the wild faces. We […]
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Secure and Reliable Smart Cyber-Physical Systems
Smart Cyber-Physical Systems (SCPS) are heterogeneous inter-operable autonomous entities that play a crucial role in critical infrastructures. And as a result of supporting novel communication and remote control features, they became more dependent on connectivity, which increased attack surfaces and introduced errors that elevated the likelihood of SCPS errors. Additionally, they may cause new types […]
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La VAE au prisme des capabilité
Interview