Operation Strategies for Energy Storage Systems in a Wind Park

The Wind Energy Institute of Canada has installed a large-scale wind power and energy storage systems. The institute’s goal is to investigate the wind integration techniques and to increase understanding of the industry for energy storage systems. The objective of this project is to demonstrate and evaluate the capability of energy storage system for shifting […]

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Evapotranspiration and Bioretention Performance in Stormwater Management

Every time it rains, there is a portion of water that doesn’t get absorbed by plants and soils. That water is known as run-off, and it requires management since it can create high energy flows and pick up harmful chemicals (e.g. fertilizers, pesticides, gasoline, tire wear) off the streets, driveways, and other hard surfaces as […]

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Development of lead-free solder alloys for electronic assembly

Recent environmental concerns and legislations over the use of lead are driving the microelectronics industry towards intensive search for lead free solder alloys in electronic packaging. Among many lead free solders, Sn-Cu-Ag system has been regarded as the most promising and attractive candidate alloy system for the conventional Sn-Pb solder alloys, owing to its wettability […]

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Video-Based Fall Detection for Construction Workers Safe

Fall accidents are one of the leading causes for serious work related fatalities and injuries in the construction industry. Every year, construction workers get injured due to falling off of overhead platforms, elevated work stations or into holes in floors and openings in walls. In order to alleviate this issue, several research studies have been […]

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Assessment and Design Advancement of a Conjugate Anvil Hammer Mill

Since energy is the major concern in current and future mining operations, energy efficient technologies are a major focus for research and development. The CAHM machine was developed based on principals of energy efficient particle breakage by compression. The machine design was based on computer simulation and modeling results indicate the potential to reduce comminution […]

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Super Varnishes for Aerospace Coatings

Organic coatings are used to protect surfaces in many prominent industries such as automotive and aerospace. The industrial partner has found it imperative to develop their varnish for aircraft interiors in-house. They have identified a “super varnish” that must have exceptional resistance to cracking, prevention of shrinkage and adhesion to wood substrates (grouped herein as […]

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Développement d’un prototype pour séquestrer le CO2 à la cheminée d’un grand émetteur par carbonatation minérale de résidus miniers de silicate de magnésium

Depuis le protocole de Kyoto (1997) et la COP21 de Paris (2016), l’émission de gaz à effet de serre (GES) est devenue une préoccupation mondiale. Intrinsèquement liés à la croissance économique, les GES sont directement responsables du changement climatique. La solution proposée dans ce projet est de parvenir à séquestrer le CO2 émis par les […]

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Développement d’un prototype pour séquestrer le CO2 à la cheminée d’un grand émetteur par carbonatation minérale de résidus miniers de silicate de magnésium – Year two

L’impact des gaz à effet de serre (CO2) sur les changements climatiques est devenu une préoccupation mondiale. Indispensable à l’économie du pays les industries sont de grandes émettrices de CO2 mais leur arrêt est inenvisageable. La solution proposée dans ce projet est de capter le CO2 directement dans les fumées émises par ces industries, afin […]

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Using multivariate deep-learning algorithms for automatic quality control of high-resolution MRI

NeuroRx is an imaging contract research organization (CRO) specialized in the central nervous system (CNS) that utilizes state-of-the-art digital image processing techniques to produce accurate and precise outcome measures for clinical trials of drugs in development. Prior to analysis, all scans must pass Quality Control (QC). The goal of this project will be to incorporate […]

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Using multivariate deep-learning algorithms for automatic quality control of high-resolution MRI – Year two

NeuroRx is an imaging contract research organization (CRO) specialized in the central nervous system (CNS) that utilizes state-of-the-art digital image processing techniques to produce accurate and precise outcome measures for clinical trials of drugs in development. Prior to analysis, all scans must pass Quality Control (QC). The goal of this project will be to incorporate […]

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Recurrent Deep Architectures for Modeling Time Series Data

Deep learning is currently the dominant machine learning technique as a result of state of the art performance in vision (Russakovsky, et al., 2015), speech (Amodei, et al., 2015) and natural language processing (Vinyals et al., 2015). The improvement in performance of these models is attributed to the availability of large datasets for training the […]

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