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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Fluorescently-labeled nanoparticle target for imaging

There is currently a great need to develop better imaging probes for studying biological process. In this proposed internship, Drs. Pacheco and Hashir will be evaluated an aluminum coated alloyed quantum dot system. These quantum dots are brighter than organic fluorophores and with the aluminum surface coating, these quantum dots are less pervious to environmental […]

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Bridging the Gap Between CPUs and GPU with Out-of-Order SIMT

Most of today’s computers, from cell phones to supercomputers, are heterogeneous: they integrate processors that are optimized to quickly execute a few tasks (CPU cores), and processors that can perform many independent tasks in parallel (GPU cores). GPU cores and CPU cores have different instruction sets: they understand different languages. A task written for CPUs […]

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Robust statistical damage assessment of infrastructures

Structural health monitoring is regarded as the main tool in assessing the functionality of existing structures. The importance of these techniques emerges by considering that failure of an infrastructure results in catastrophic loss. With such techniques, damages in a structure can be detected, before reaching dangerous levels. Those are purely based on measurement data and […]

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