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

 

Le LISPEN met en synergie les compétences d’enseignants-chercheurs des campus d’Aix-en- Provence de Cluny (Institut Image à Chalon sur Saône) et de Lille autour de la maîtrise du développement et l’exploitation des systèmes dynamiques multi-physiques et virtuels pour l’Industrie du Futur. Les thématiques de recherche traitent de l’Ingénierie Système & Maquette numérique, la Simulation et le Contrôle des systèmes, l’Interaction Homme-Système et l’Aide à la décision.
http://lispen.ensam.eu/

Recent Submissions

  • A Dynamic Contextual Change Management Application for Real Time Decision-Making Support 
    ES-SOUFI, Widad; YAHIA, Esma; ROUCOULES, Lionel (Springer International Publishing, 2018-07)
    Decision making is a fundamental process within organizations for many reasons. It is indeed involved at all levels (new product decisions, management and marketing decisions, etc.) and has a direct impact on companies’ ...
  • Learning eco-driving behaviour in a driving simulator: Contribution of instructional videos and interactive guidance system 
    BELOUFA, Sabrina; CAUCHARD, Fabrice; VEDRENNE, Joël; VAILLEAU, Benjamin; KEMENY, Andras; MERIENNE, Frédéric; BOUCHEIX, Jean-Michel (Elsevier, 2017)
    The present paper deals with how to design and test an eco-driving training tool in the form of a digital educational game, including a specific guidance system interface to each eco-driving rules. We tested whether learners ...
  • Selection of Measurement Method for Detection of Driver Visual Cognitive Distraction: A Review 
    YUZOFF, Norhasliza M.; AHMAD, Rana Fayyaz; GUILLET, Christophe; MALIK, Aamir Saeed; SAAD, Naufal M.; MERIENNE, Frédéric (IEEE, 2017)
    Driving distraction is a topic of great interest in the transport safety-research community, because it is now a primary cause of road accidents. A recent report has revealed that distraction is more alarming than previously ...
  • A topological approach for human movement classification and anticipation 
    BENSEKKA, Chakib Arslane; GUILLET, Christophe; MERIENNE, Frédéric; POZZO, Thierry (Elsevier, 2017)
    The motion capture systems are increasingly used for biomedical purposes. In order to recognize and classify the movements, however whole-body movements using passive markers, generate a huge amount of data. Can topological ...
  • Smart adaptation of BIM for virtual reality, depending on building project actors’ needs: the nursery case 
    RAIMBAUD, Pierre; MERIENNE, Frédéric; DANGLADE, Florence; LOU, Ruding; HERNANDEZ, Tiberio; FIGUEROA, Pablo (IEEE, 2018)
    Nowadays, virtual reality (VR) is widely used in the AEC (architecture, engineering and construction) industry. One crucial issue is how to reuse Building Information Modeling (BIM) models in VR applications. This paper ...
  • A Process Mining Based Approach to Support Decision Making 
    ES-SOUFI, widad; YAHIA, Esma; ROUCOULES, lionel (Springer, 2017)
    Currently, organizations tend to reuse their past knowledge to make good decisions quickly and effectively and thus, to improve their business processes performance in terms of time, quality, efficiency, etc. Process mining ...
  • Model of realism score for immersive VR systems 
    PERROUD, Benoit; RÉGNIER, Stéphane; KEMENY, Andras; MERIENNE, Frédéric (Elsevier, 2017)
    A model of a realism score for immersive virtual reality and driving simulators is presented. First, we give an outlook of the different definitions of what ‘‘realism” is and the different approaches that exist in the ...

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