Laboratoire d’Ingénierie des Systèmes Physiques Et Numériques (LISPEN): Soumissions récentes

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    • General framework of geometric simplification for mitigating cybersickness 
      Communication avec acte
      ccMERIENNE, Frédéric; BECHMANN, Dominique; ccLOU, Ruding (IEEE, 2022)
      Virtual reality have advanced rapidly and are spreading in much of the world for huge numbers of application domains. However the cybersickness appears for many VR users and it is still a significant issue preventing them ...
    • NEXT-GEN E-COMMERCE in the METAVERS 
      Communication avec acte
      SAWIROS, Marc; ccLOU, Ruding; RAWASH, Maged (IEEE, 2022-10)
      The Metaverse's goal is to create a virtual world that incorporates augmented reality, virtual reality, 3D holographic avatars, and other forms of communication. In this paper, a new e-commerce experience was developed to ...
    • Finite element mesh generation for nano-scale modeling of tilted columnar thin films for numerical simulation 
      Communication avec acte
      ccWATIEZ, Noé; MOSKOVKIN, Pavel; ccLOU, Ruding; ccOUTEIRO, José; ccELIAS-BIREMBAUX, Hélène L.; LUCAS, Stéphane; ccBESNARD, Aurélien (2022)
      Glancing Angle Deposition (GLAD) is a technique used in Physical Vapor Deposition (PVD) to prepare thin films with specific properties. During the deposition process, a tilt is introduced between the sputtered atoms flux ...
    • Intent Detection for Virtual Reality Architectural Design 
      Article dans une revue avec comité de lecture
      GUILLAUME, Romain; PAILHES, Jérôme; ELISE, GRUHIER; LAVILLE, Xavier; BAUDIN, Yvan; RUDING, Lou (2022)
      In the context of optimization and reduction of cycles of product design in indus-try, digital collaborative tools have a major impact allowing an early-stage integra-tion of multidisciplinary challenges and oftentimes the ...
    • SMA-Net: Deep learning-based identification and fitting of CAD models from point clouds 
      Article dans une revue avec comité de lecture
      HU, Sijie; ccPOLETTE, Arnaud; ccPERNOT, Jean-Philippe (Springer Science and Business Media LLC, 2022-04-13)
      Identifcation and ftting is an important task in reverse engineering and virtual/augmented reality. Compared to the traditional approaches, carrying out such tasks with a deep learning-based method have much room to ...
    • Automatic neural networks construction and causality ranking for faster and more consistent decision making 
      Article dans une revue avec comité de lecture
      AMZIL, Kenza; ccYAHIA, Esma; ccKLEMENT, Nathalie; ccROUCOULES, Lionel (Taylor & Francis, 2022-11-11)
      The growth of Information Technologies in industrial contexts have resulted in data proliferation. These data often underlines useful information which can be of great benefit when it comes to decision-making. Key ...
    • Lean 4.0: typology of scenarios and case studies to characterize Industry 4.0 autonomy model 
      Communication avec acte
      ccROSIN, Frédéric; ccMAGNANI, Florian; ccJOBLOT, Laurent; ccFORGET, Pascal; PELLERIN, Robert; ccLAMOURI, Samir (Elsevier BV, 2022-10)
      Industry 4.0 is leading to rethink how operational decisions are made within companies. In particular, it raises the question of the evolution of employee involvement and autonomy in operational decision-making in a Lean ...