Effect of probiotics on reducing diet-induced inflammation and atherosclerotic plaque formation in APoE-knockout mice

Diets which reduce carbohydrate intake and increase protein intake, such as Atkins diet, are popular and effective for weight loss. However, such diets may negatively affect cardiovascular health by increasing atherosclerotic plaque formation, and overall lead to higher mortality. Vuckovic and Bergdahl previously used mouse model that mimics spontaneous formation of atherosclerotic plaques in humans […]

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Attribute-Driven Automatic Generation of Realistic Face Textures

When creating a video game, every digital character must be created by professional artists. Their work is very labor intensive because the number of created characters are in the thousands, each of which has multiple visual components that must be created for each one. “Scanning” real actors to create a digital version of themselves can […]

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Classifying Innovation Management Forms Using Ontology Reasoning

In this project, the goal is first to design a domain ontology that models the innovation management forms semantically. At this step, the ontology contains domain-specific background knowledge, which is expressed using terminological statements. Then every completed form and the value of its fields are asserted as instances of different concepts of the ontology. Afterwards, […]

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Explaining security compliance failures in Network Function Virtualization environment through root cause analysis

The objective of this project is to elaborate an automated and scalable approach to assist security analyst in investigating and identifying underlying key cause (or causes) behind security or compliance failures of network services in NFV-based environment. Finding the root cause allows appropriate and achievable actions to be taken to recover or/and prevent the recurrence […]

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Cognitive Radio for Multimedia Traffic in Wireless Mesh Networks

In a cognitive wireless mesh network, licensed users (PUs) may borrow surplus spectrum from other PUs and rent them to unlicensed users (SUs) for getting some revenue. For such spectrum sharing paradigm, maximizing the revenue is the key objective of the PUs, while that of the SUs is to meet their requirements and getting a […]

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Development of a macroscopic model to simulate water beads on hydrophobic andsuperhydrophobic coatings to be used in-flight icing software such as CANICE-2D

The intern has developed a 3D microscopic model to simulate water bead behavior on hydrophobic and superhydrophobic coatings. The microscopic model developed at Concordia University which simulates one bead cannot be directly integrated into an aircraft icing panel code such as CANICE-2D. CANICE-2D approved by Transport Canada has been widely used at Bombardier Aerospace to […]

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Joule M&V AI

Buildings have a high share of energy consumption in Canada. Real-time monitoring and analysis of energy use data can assist in improving the performance of the building and help reduce operating costs, lower utility bills, increase equipment life, improve occupants’ comfort, and increase retention and leasing rates; all while lowering carbon emissions. Joule M&V AI […]

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Developing high-capacity composite adsorbents for gold mill processes

Gold is the most economically important mined mineral in Canada, with a production value of $8.7 billion in 2017. Quebec and Ontario together accounted for more than 75% of the mined gold production in Canada in 2017. Economic, efficient, yet safe and environmentally responsible gold extraction is vital to Canada’s dynamic economy and environment, as […]

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Using RTLS and Computer Vision to Extend Worksite Safety

The project aims to extend worksite safety of construction projects at Hydro-Quebec (HQ) using computer vision and a Real-Time Location System (RTLS). The case study is a substation construction project near Montreal. The main safety risks that will be targeted in the case study are related to equipment mobility (struck-by accidents) and not wearing Personal […]

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Just-In-Time Scaling of Cloud Based Video Games using Machine Learning

Ubisoft’s cloud-based video game ecosystems experience the workload up to 5+ millions players in a typical week. Workloads on game servers are of different scales, ranging from tens of clients per game server to thousands of clients for traditional workloads. To guarantee game player user experience, a pool of servers is launched to react to […]

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Exploration of Novel Fuels for Gas Turbine Applications

The internship for each student will be under the supervision of Gilles Bourque PhD, the Combustion Research and Technology Team Leader. Mr Bourque has been working for the past 12 years at RR Canada of which 10 in the Combustion department. The student will be an integral part of his team and as such will […]

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