Publications

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Publications

    • Conférence
    • Apprendre & Innover
    • CESI - Hors LINEACT

    FVLLMONTI: The 3D Neural Network Compute Cube (N2C 2 ) Concept for Efficient Transformer Architectures Towards Speech-to-Speech Translation

    This multi-partner-project contribution introduces the midway results of the Horizon 2020 FVLLMONTI project. In this project we develop a new and ultra-efficient class of ANN accelerators, the neural network compute cube (N 2C2), which is specifically designed to execute complex machine learning tasks in a 3D technology, in order to provide the high computing power […]

    • Article
    • Apprendre & Innover
    • Ingénierie & Outils numériques

    Introducing the 3MT_French dataset to investigate the timing of public speaking judgements

    In most public speaking datasets, judgements are given after watching the entire performance, or on thin slices randomly selected from the presentations, without focusing on the temporal location of these slices. This does not allow to investigate how people’s judgements develop over time during presentations. This contrasts with primacy and recency theories, which suggest that […]

    • Article
    • Ingénierie & Outils numériques

    Aging properties of a vegetable-based polyurethane foam under high relative humidity and different temperatures

    The objective of this study is to assess, characterize, and forecast the aging effects on the mechanical properties of a vegetable-based polyurethane foam (PUF) derived from castor oil under elevated relative humidity conditions and at two distinct load orientations (aligned with the expansion direction and perpendicular to it). Ten specimens were subjected to temperatures of […]

    • Conférence
    • Ingénierie & Outils numériques

    Exploiting Machine Learning Techniques to Predict the Stainless Steel Density Produced by Selective Laser Melting Additive Manufacturing

    Porosity is one of the inherent defects that results from the Selective Laser Melting (SLM) additive manufacturing technique. The porosity related to fusion-solidification kinetics, results most often from non-optimally or poorly controlled manufacturing parameters. The density, a porosity indicator, affects the mechanical properties of the manufactured material (fatigue strength, cracks, deformations, etc.). Stainless steels are […]

    • Article
    • Ingénierie & Outils numériques

    DATA-DRIVEN PREDICTIVE ANALYSIS FOR CUTTING MACHINE FAILURES: A TECHNICAL REPORT ON RELIABILITY OPTIMIZATION

    The prevention of recurring failures in modern manufacturing systems is of paramount importance for minimizing costs and downtime. Despite the potential for real-time data analysis using sensors offered by Industry 4.0 technologies, their widespread adoption, particularly among smaller manufacturing systems, remains a challenge. In response, this paper introduces an alternative approach to predictive maintenance planning, […]

    • Conférence
    • Ingénierie & Outils numériques

    Application de systèmes multi-agents pour l’optimisation de la chaîne logistique industrielle

    Dans le contexte dynamique des chaînes logistiques industrielles, l’optimisation des ressources est cruciale pour répondre aux exigences de plus en plus complexes du marché. La nécessité d’une gestion intégrée des ressources, englobant tant les machines de production que les moyens de transport, a émergé comme un impératif pour améliorer l’efficacité opérationnelle et maintenir la compétitivité. […]

    • Conférence
    • Ingénierie & Outils numériques

    Energy-efficient flexible flow shop scheduling with renewable energy sources and energy storage systems

    In France, the industrial sector is responsible for 18% of the total energy consumption in 2023, nevertheless, only 7% of it comes from renewable energy sources [1]. With the increasing concern over climate change and global warming, industries have started to integrate programs based on demand-side management which includes energy efficiency and demand response to […]

    • Conférence
    • Ingénierie & Outils numériques

    Integrating Human-Centricity, Sustainability, and Resilience in Digital Twin Models for Industry 5.0: A Multi-Objective Optimization Approach

    This paper presents the InduDesc framework, an innovative digital twin model within the CupCarbon software, designed for the advanced needs of Industry 5.0. It integrates human-centred ergonomics, sustainability and resilience into the Flexible Job Shop Scheduling Problem (FJSP), traditionally an NP-hard challenge. By minimising operating times and balancing machine utilisation with ergonomic and sustainability considerations, […]

    • Conférence
    • Ingénierie & Outils numériques

    A polynomial algorithm for periodic scheduling

    We are interested in problems related to periodic scheduling, driven by applications using networks in which terminals send identical flows periodically. The management of such flows must not only minimize latency, but also jitter, and we have shown that classical methods of sizing networks by statistical multiplexing are not suitable for this situation.

    • Conférence
    • Ingénierie & Outils numériques

    Improving Semantic Mapping with Prior Object Dimensions Extracted from 3D Models

    Semantic mapping is a critical challenge that must be addressed to ensure the safe navigation of mobile robots. Equipping robots with semantic information enhances their interactions with humans, as well as their navigation and task planning capabilities. Semantic maps go beyond occupancy information, providing supplementary details about mapped elements that empower robots to gain a […]

    • Conférence
    • Ingénierie & Outils numériques

    Integration of Pricing and Production Scheduling Decisions: A Mathematical Model

    In today’s competitive manufacturing landscape, achieving operational efficiency and optimizing revenue generation are key objectives for make-to-order manufacturers. This paper presents a novel approach for integrating production scheduling and pricing decisions in a make-to-order manufacturing environment. We propose a comprehensive mathematical model that addresses the complex interplay between production scheduling and pricing strategies. By jointly […]

    • Conférence
    • Ingénierie & Outils numériques

    Evolutionary-Based Ant System Algorithm to Solve the Dynamic Electric Vehicle Routing Problem

    This article addresses the Dynamic Electric Vehicle Routing Problem with TimeWindows (DEVRPTW) using a hybrid approach blending genetic and Ant Colony Optimization (ACO) algorithms. It employs an Ant System algorithm (AS) with an integrated memory system that undergoes mutations for solution diversification. Testing on Schneider instances under static and dynamic conditions, with run time of […]


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