Simulation thermomécanique des barres pour hydro alternateurs etcaractérisation des interfaces

Les courants très élevés circulant dans les enroulements des grandes machines tournantes utilisées dans les centrales hydro-électriques entraînent la génération d’une température élevée au niveau du cuivre ainsi que du ruban isolant. Ces températures élevées entraînent à leur tour des contraintes mécaniques dues aux contractions et dilations des matériaux lesquelles peuvent mener à des fissurations […]

Read More
A GIS tool for identifying and optimizing road access and transmissioninterconnection for generation resource options

Renewable energy resources, such as run-of-river hydro and wind, are often located in remote areas unserved by existing roads and electricity transmission. In order for these resources to be developed, this supporting infrastructure must be built. This project will wind a way to determine the best road and transmission connection options for different potential renewable […]

Read More
Developing Prediction Models on London Stock Exchange (LSE) Equitiesand Indicies using Microsoft Azure Machine Learning and Data Mining

I am to import ten year’s worth of amassed historical data on news events, price movement of equities and public sentiment metrics to Microsoft Azure platform for study and analysis through the latest Data Mining techniques with an Economics point of view to uncover the hidden correlation and casualty between events and price movement of […]

Read More
Predictive Analytics and Applications for Clinical Support in Orthopaedics

Nova Scotia is one of the oldest demographics in Canada, with increasing rates of total knee arthroplasty (TKA), yet the identification of high-risk surgical TKA candidates prior to surgery at a patient-level remains inconclusive, limiting our ability to improve care management. The objective of this research is to explore Nova Scotia’s rich and comprehensive research […]

Read More
Waterfowl nest success in the Western Boreal Forest: Does industrial development alter predation rates?

Our research will investigate changes in duck populations relative to resource development in Alberta’s western boreal forest (WBF). Specifically, we will investigate changes in duck nest success and predator communities across a gradient of resource development. Resource development is rapidly increasing in Alberta and it has been implicated in the population decline of some wildlife […]

Read More
Scenario optimization for robo-advisory analytics.

In recent years, improvements in technology provide the opportunity for investors to use computer algorithms to produce low-cost guidance on possible portfolio investment mixes and strategies. This project is directed at the research and development of one such “Robo- Advisor” algorithm based on forward-looking scenario optimization, in order to determine the efficacy of the strategy. […]

Read More
Comparative effectiveness of prophylactic therapies for necrotizing enterocolitis in preterm infants: a network meta-analysis of randomizedtrials

Necrotizing enterocolitis (NEC) is the most common and serious intestinal disease among premature infants. It happens when tissue in the small or large intestine is injured or begins to die off. This causes the intestine to become inflamed or, in rare cases, develop perforation. It is associated with significant mortality and morbidity in preterm neonates. […]

Read More
Création d’indices de Performance du Conseil des Gestionnaire en Émergen

Dans le but de développer l’entrepreneuriat dans le secteur financier, le Conseil des Gestionnaires en Émergence (CGE) a vu le jour en 2014 et regroupe actuellement une cinquantaine de firmes du secteur financier (gestionnaires de portefeuille, firmes de capital de risque, firmes de consultations). En accord avec la fondatrice du CGE, Geneviève Blouin, nous voudrions, […]

Read More
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. […]

Read More
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 […]

Read More