Étude de l’erreur humaine dans le processus d’assemblage de moteurs d’avions

Tout au long de l’histoire de l’humanité le progrès scientifique et technique a été un moteur de notre évolution comme espèce. Ce progrès pousse l’humain constamment à reconsidérer ses propres limites tant du point de vue physique que cognitif. Bien que les conséquences des actions erronées des humains soient connues depuis l’antiquité, industrie 4.0 mène […]

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Exploration of machine/deep learning techniques using Raman spectroscopy for the identification and classification of brain tumors and prostate cancer

Cancer cells are nearly impossible to distinguish from normal tissue without sophisticated detection methods and conventional methods fail to provide real-time information during the surgical procedure. ODS Medical is developing an exclusive Raman spectroscopy system that collects data through an optical probe and is interfaced with sophisticated machine learning algorithm to identify tissues abnormalities in […]

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Efficient implementation of compact deep neural networks for mobile applications

Computer vision has become part of our daily life with applications in surveillance cameras, medical imaging, self-driving cars, and so on. Recently, deep convolutional neural networks (CNNs) have shown substantial progress in many vision applications such as image recognition and object detection. Utilizing CNNs from 2012 have reduced the error of image recognition dramatically which […]

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Development of Machining Strategies for Low Machinability Powder Metallurgy Ni-Alloys

Nickel based alloys manufactured via powder metallurgy (PM) are the next generation of materials that offer great service performance and increased efficiency of gas turbine engines. This class of material is characterized by their poor machinability. Additionally, limited information is known about the integrity of machined surfaces; thus limiting its acceptance by the industry. This […]

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Apprentissage automatique pour la construction de diagrammes de décision

L’optimisation combinatoire occupe une place prépondérante dans notre société actuelle. Que ce soit la logistique, le transport ou la gestion financière, tous ses domaines se retrouvent confrontés à des problèmes pour lesquels on recherche la meilleure solution. Cependant, un grand nombre de problèmes très complexes reste encore hors de portée des méthodes d’optimisation actuelles. C’est […]

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Development of a subject-specyfic musculoskeletal shoulder model

Musculoskeletal models are an interesting avenue for human movement analysis since they allows us to noninvasively estimate muscles forces and internal joint loads. Consequently, they are becoming also more important in the clinical practice. So far our musculoskeletal shoulder model can perform only simple movements like abduction and flexion. However, it is in the great […]

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Developing a Simulation Model for Electrostatic Charging in Gas-Solid Flows

Electrostatic charging can occur when any kind of solid particles, from grains in silos to powders in chemical plants, undergo a lot of collisions through movement or mixing. Particle charging can create some serious challenges – highly charged particles can stick to surfaces and hinder industrial processes, and in some cases can create sparks that […]

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ERGO4ALL: Conception d’un processus d’intervention en ergonomie virtuelle

Les logiciels actuels de DHM (Digital Human Modeling ou d’ergonomie virtuelle) destinés à la conception de situations de travail et de produits demeurent difficiles à utiliser ce qui en limite grandement l’utilisation par les concepteurs et les ergonomes. Pourtant, l’utilisation plus répandue de DHM permettrait d’en arriver à des environnements de travail plus sécuritaires et […]

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3D visualizations for neuroscience education, research, and clinical applications

As new technologies are rapidly being integrated in postsecondary institutions, the question is often where to focus investment and how to facilitate adoption of new technologies by faculty and students. The advent of an era that will increasingly rely on the use of augmented and virtual reality in the instructional arena necessitates the creation of […]

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Ahead of Time Compiled Code Generation

Compilers are large software projects consisting of many separate but common components like code generators, garbage collectors, and runtime diagnostic tools, to name but a few. Historically compiler developers have had to write each of these components from scratch. The Eclipse OMR project was created to provide generic components for use in new compilers and […]

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