Optimiz AIOps data normalization and visualization

Approximately 70% of data collected by ITOps is not actionable, either due to lack of timeliness or context, and real-time normalized data stored in a data lake is needed to produce actionable data. Also, AIOps tools are often poorly configured and lead to alert fatigue. The benefit to the partner organization is that they will […]

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Next Generation Canadian Satellite-based Positioning Technology

Present navigation applications rely mostly on the integration of Global Navigation Satellite Systems (GNSS) and Inertial Navigation Systems (INS). However, GNSS signals are prone to interruption due to various disturbances, including signal interference and jamming. On the other hand, Low Earth Orbit (LEO) satellite constellations from several providers are becoming rapidly accessible. LEO-based communication systems […]

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Next Generation Canadian Satellite-based Positioning Technology – Year two

Present navigation applications rely mostly on the integration of Global Navigation Satellite Systems (GNSS) and Inertial Navigation Systems (INS). However, GNSS signals are prone to interruption due to various disturbances, including signal interference and jamming. On the other hand, Low Earth Orbit (LEO) satellite constellations from several providers are becoming rapidly accessible. LEO-based communication systems […]

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Best Practices and Models for Open, Collaborative Scholarship in the Arts & Humanities

Open, digital scholarship in the Arts and Humanities is significant as a mechanism of Canada’s growing digital scholarly infrastructure for facilitating public access and engagement with research. But the path to adopting open, digital scholarship on a national scale has been challenging. Academic organizations like the not-for-profit Iter Canada are committed to facilitating the engagement […]

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Data collection to support an oyster aquaculture development area

The Nova Scotia Municipality of Argyle is exploring the potential of establishing the province’s first shellfish Aquaculture Development Area (ADA) in Lobster Bay. If an ADA is approved, individual site and lease applications benefit from an expedited licensing process. Spatial marine planning is required for ADA approval and must consider oceanographic data, ecological data, and […]

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The correlation and validation of functional markers and biomarkers for m/sTBIpopulations during simple and complex tasks – Year 1

This project aims to develop and validate markers for adaptive neurological performance therapies for persons with moderate-to severe traumatic brain injury (m/sTBI), with the purpose to further develop clinical paradigms for at-risk populations. In order to accomplish this, we have formed a collaboration between two Universities (Université Laval and McGill University) and two industrial partners […]

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Perioperative Opioid Usage Quality Improvement [CDTS-PDF1]

Our aim is to use machine-learning to improve treatment of post-surgical pain in children and adults. Most people addicted to opioids were initially exposed through the treatment of pain from trauma and/or surgery. The opioid crisis is reaching the pediatric population, in whom effective post-surgical pain management, with less reliance on prescription of opioids, is […]

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Perioperative Opioid Usage Quality Improvement [CDTS-PDF1] – Year two

Our aim is to use machine-learning to improve treatment of post-surgical pain in children and adults. Most people addicted to opioids were initially exposed through the treatment of pain from trauma and/or surgery. The opioid crisis is reaching the pediatric population, in whom effective post-surgical pain management, with less reliance on prescription of opioids, is […]

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Perioperative Opioid Usage Quality Improvement [CDTS-PDF2]

Our aim is to use machine-learning to improve treatment of post-surgical pain in children and adults. Most people addicted to opioids were initially exposed through the treatment of pain from trauma and/or surgery. The opioid crisis is reaching the pediatric population, in whom effective post-surgical pain management, with less reliance on prescription of opioids, is […]

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Perioperative Opioid Usage Quality Improvement [CDTS-PDF2] – Year two

Our aim is to use machine-learning to improve treatment of post-surgical pain in children and adults. Most people addicted to opioids were initially exposed through the treatment of pain from trauma and/or surgery. The opioid crisis is reaching the pediatric population, in whom effective post-surgical pain management, with less reliance on prescription of opioids, is […]

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Validation de l’échelle du bien-être développée par inpowr

Le bien-être est un sujet d’actualité dans les entreprises : ce serait le meilleur prédicteur de l’engagement et de la performance au travail. Plusieurs critères servent à l’évaluer, comme la satisfaction au travail. Ces critères ne sont toutefois pas équivalents à la santé au sens de l’Organisation mondiale de la santé : ce n’est pas […]

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Uplink Resource Allocation in Wireless Backhaul Networks

The internship project involves performance improvement in current cellular networks through wireless backhaul interference mitigation. In particular, the problem of RBM to hub assignment and resource allocation amongst the hubs are tackled in the uplink transmission of wireless backhaul networks. The intern is expected to investigate current developed algorithm at BLiNQ Wireless Inc. as well […]

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