Étude des paramètres physico-chimiques affectant le procédé de fabrication du fondant

La fabrication de produit issu de réactions chimiques pourra bénéficier des retombées de l’industrie 4.0. Cependant, pour arriver à un grand degré d’automatisation et le choix approprié des paramètres à contrôler par l’acquisition de données en temps réel, il est important de déterminer et de comprendre l’impact des variables sur la qualité du produit final. […]

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Data-Driven and Anthropometric Local Editing of Facial Polygon Meshes

Editing the faces of 3D avatars is a difficult and important task. We will develop an approach that enables users to perform local edits of faces through means of adjusting the values of anthropometric measurements. Such measurements are derived from well-established research about the shape and proportion of faces. Based on a data set of […]

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Accelerate development of new technologies and applications for advanced water treatment

Global population growth, urbanization and changing climate patterns have increased the demand for potable water, wastewater reuse and value recovery from wastewater, and treatment of industrial process water. Population growth also results in increased demand for the shipping of goods by ocean freight, with the associated risk of the transport of unwanted marine life from […]

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Testing Mechanisms for Electrical Distribution Systems in Buildings

Nexeya is an innovative industrial group that provides test, integration and control-command solutions mainly in the Defense, Aeronautics, Energy, Railway, and Automotive sectors. Nexeya’s current products are able to test characterise wiring harnesses and detecting and localising wiring defects, in the Aeronautics, Automotive, Railway, and Space industries. This proposed research project aims to advance the […]

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Statistical machine learning for urban transportation system

In general, the goal of project is to investigate the train travel data and figure out the main factors affecting train travel time. Moreover, we will use machine learning algorithms to predict their arrival time to stations and forecast when delays will happen. Specifically, to figure out what factors are affecting train travel times, we […]

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Enquête sur l’évolution des représentations sociales de l’intelligence artificielle en contexte d’intégration d’outils de l’intelligence artificielle

Se représenter ce qu’est l’intelligence artificielle (IA) pose trois problèmes : 1- le mot contient « intelligence » et ce terme est connoté, flou, et toujours matière à débat. 2- l’IA sert à prendre des décisions, ce n’est pas une fonction qu’on laisse à n’importe qui dans nos états de droits et nos démocraties libérales. […]

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Modification of Coin Surfaces Using Atomic Layer Deposition

Circulation coins present a large challenge from the point of view of protecting and enhancing their appearance, as well as incorporating new features for recognition and protection. An ideal technology for the modification of the surface of coins is atomic layer deposition (ALD), where films of any thicknesses from just above the atomic scale to […]

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Establish relationship between productivity and raw material properties to control of a Ferrosilicon furnace

This project will investigate the efficiency of the ferrosilicon smelting process by determining electrical resistance of the raw materials. Ferrosilicon is produced in a submerged-arc furnace, and requires large amounts of electrical energy. The process requires quartz, iron, and carbon as the raw materials. Each of the three input materials have different electrical properties that […]

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Measuring the Contribution of Equipment to Performance: Using portable inskateinstrumentation to optimize skate boot/blade set up, training andperformance in world class speed skaters.

Evolution of the on-ice sport equipment, namely skate boots and blades, has been primarily driven by the users; however, there is a lack of scientific evidence supporting the link between skate boot/blade design and set up as it translates to optimal on ice skating technique and performance. We are proposing a new academic-industrialsport research collaboration […]

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