Detecting Malicious Insiders in Cloud Computing Environment

Cloud Computing represents a significant shift in how computing resources and services are being used. While it opens up an era of promising innovations, it raises significant security challenges which must be addressed for ubiquitous adoption of the technology. Malicious insider activities have been identified as one of the top threats faced by cloud environments. […]

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Développement d’un procédé hybride couplant ultrafiltration et électrolyse pour le traitement des eaux résiduaires de buanderies commerciales

Les buanderies Blanchelle souhaitent traiter leurs eaux utilisées pour le lavage de la lingerie et literie afin de les réutiliser dans un second lavage et minimiser le rejet dans la nature. Ces eaux usées sont contaminées par plusieurs produits, et nécessitent un traitement spécifique afin d’éliminer les différents contaminants dangereux pour la nature. L’objectif de […]

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Évaluation et validation en analyse des structures : conformité du calcul automatique aux normes canadiennes

Ce projet de recherche a pour objectif d’optimiser un nouveau logiciel de calcul structural nommé Advance design 2016 de la compagnie Graitec afin d’inciter les firmes de génie-conseil à l’adopter dans la conception des bâtiments neufs. La méthodologie proposée dans ce projet permettra de développer et d’implanter des tests de validation au logiciel en question. […]

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High Efficiency PFC Rectifier using Wide Band Gap Power Device

The energy-hungry telecomm industry is in need of power supplies with ever-increasing efficiencies to conserve energy and reduce carbon footprint. In collaboration with the industry partner, the proposed research project aims at developing a power factor correction (PFC) system, an essential component in a telecomm power supply, for achieving efficiency of 99% or above. The […]

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Auditing in the cloud, Using OpenStack Congress

In a multi-tenant cloud environment, several tenants share the same physical resources. To ensure security of tenants’ data and process, appropriate security measures should be implemented by the cloud provider at multiple layers. Particularly, appropriate controls for end-to-end network isolation must be put in place. The proposed research project aims at elaborating innovative and efficient […]

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Development of Additive Manufacturing Post-fusion Processes for Landing Gears

Additive Manufacturing (AM) technology demonstrates great ability of fabricating complex geometry and reducing buy-to-fly (BTF) ratio. The objective of the Héroux-Devtek R&D project is to build a relationship between post-fusion processes and material properties for additively manufactured Ti64 landing gear components. From the previous studies, promising heat-treatments were identified. In this project, studies will only […]

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Prioritizing projects as a multi-criteria evaluation problem

CAE is the world-leading supplier of flight simulators and training services. Intensive competition for scarce resource exists in the multi-project environment at CAE. Without standard evaluation and objective prioritization of projects, it is difficult to allocate resources in an efficient and optimal way. From the proposed research project, CAE can expect to receive a method […]

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Design of a gene network implementing an associative memory circuit

The main goal of this research project is to implement an associative memory module in a gene network. The idea is to use the theoretical work already done at the Signals and Systems Laboratory (L2S) and to apply it in the area of genetics. The proposed approach is innovative, as it combines techniques from two […]

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Support à la conception de robots souples

La complexité de conception de robots souples est due à leur nature pluridisciplinaire (intégration de systèmes mécaniques, électronique et logiciel) ainsi qu’aux contraintes introduites par la non-rigidité des membres, ce qui met donc à rude épreuve la créativité des ingénieurs. Cette complexité est liée principalement aux multiples dépendances existantes entre les différentes composantes du robot […]

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Deterministic Decision Making Using All Geological Realizations

Predicting the quantity of mineral (gold, coper, etc) or hydrocarbon (oil, gas) extracted from a given deposit is difficult. One concern is the uncertainty in the resources underground. A few initial wells or drill holes give us access to an estimate of the quantity of resource, but there is great uncertainty because sampling can be […]

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Online Learning of Gait Models for Fall Prediction

Meaningful parameters can be extracted from data that describes a person walking as time progresses. Gait asymmetry is one such parameter that has been shown to be correlated to the likelihood of a person falling. More generally, the variability in gait parameters can be used for human fall prediction. Currently, models used to describe gait […]

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