PITCH – Proactive Integrated Tech-enabled Patient-Centric Healthcare

PITCH is a new initiative focussed on understanding new models for delivering sustainable and proactive health assessments with a focus on patient engagement. It is a collaborative program that includes computer scientists, engineers, data scientists, clinicians, home care providers, and industry partners. In this work, we aim to develop novel security, auditing, analysis and visualization […]

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Improving the bending stiffness of multi-ply folding boxboard with maple HYP

BCTMP (Bleached chemi-thermo-mechanical pulp) or HYP (high-yield pulp) is an important sector in the Canadian market pulp business, and most of them has been exported to Europe and Asia and over half of it is used as middle-ply furnish in Folding Boxboard (FBB). FBB requires high bending stiffness for crush resistance, z-directional strength for preventing […]

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Detection of Fights in Crowd Video

Detection of fights and anomalous behavior of individuals in a crowd is a common problem in computer vision. Some tools that currently exist rely on optical flow of tracked features is a sequence of video frames. These motion algorithms are sensitive to independently moving objects in the frame. What constitutes an “anomaly” is context (eg. […]

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Numerical Simulation of Turbulence and In-Situ Tidal Turbine Performance in Minas Passage

Turbulence is a significant issue at every site being considered for instream tidal energy development. This turbulent flow creates fluctuating forces on tidal turbine blades and support structures, reducing turbine performance and shortening turbine lifespan. Thus, improving and validating numerical models of turbulence and turbine operation in turbulent flow is necessary to better predict device […]

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Ahead of Time Compiled Code Generation

Compilers are large software projects consisting of many separate but common components like code generators, garbage collectors, and runtime diagnostic tools, to name but a few. Historically compiler developers have had to write each of these components from scratch. The Eclipse OMR project was created to provide generic components for use in new compilers and […]

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Do Physical Activity Levels Predict Functional Improvements following a Structured Exercise Program for Women Undergoing Breast Cancer Treatment?

Breast cancer is the most commonly diagnosed cancer in Canadian women, representing 26 percent of all diagnostics. The overall cancer survival rate has increased from 25% in the 1940s to 60%. Thus, the proportion of breast cancer survivors is increasing significantly. There is a consensus that survivors benefit from exercise during and after treatment. However, […]

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Valorization of surface enhanced pulp fibers into value-added products

Domtar Inc. is investigating potential value-added applications for an advanced fiber they produce, which is referred to as SEPF (surface enhanced pulp fiber). SEPF is a key platform material for the development of new value-added, bio-based products from existing pulp and paper manufacturing sites and their forest based supply chains. The main objective of this […]

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Tropospheric delays in ground-based GNSS reflectometry – Assessment of ad-hoc models against ray-tracing simulations

Global Positioning System (GPS) multipath reflectometry (GPS-R) has recently emerged as coastal sea level altimetry technique. GPS-MR is based on the simultaneous reception of direct and reflecting satellite signals, exploiting the signal-to-noise ratio measurements. Atmosphere affects the GPS signals proportionally to the height of the antenna and results to underestimation of the tidal amplitudes. Over […]

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Reciprocal invasion potential of North American and European spruce bark beetles

The goal of our research project is to estimate the risks of the North American spruce beetle and European spruce bark beetles becoming invasive in their counterpart’s range. These species can be accidentally spread through global trade and can cause considerable mortality of their host spruce. To estimate invasion risk, we aim to predict the […]

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Developing Intelligent Approaches for Factories of the Future – An intelligent strategy for robotic part inspection in advanced manufacturing

Human inspection of high quality components in advanced manufacturing, automotive and aerospace applications is challenging, as detecting imperfections that are variable can result in inconsistent part quality decisions. These inspection tasks are very repetitive. Achieving zero incorrect part quality decisions that are required in high tolerance assembly, as well as in critical process operations becomes […]

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