Advancing Strong-Scaling CFD Simulations on Manycore HPC Hardware

Science and engineering companies rely on powerful computers to simulate, in virtual space, the performance of new processes and products. The computer architectures of these systems are evolving to provide even faster virtual solutions with less energy requirements. This hardware evolution impacts software design and implementation of simulation tools such as Computational Fluid Dynamics (CFD). […]

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Bond dependent shear behaviour of hollow core plank core plugs

Hollow core planks are used as floor systems in some structures. These planks are precast offsite of the structure and shipped to the building site for installation. They rely on the use of prestressing steel to help span large distances with minimal depth. The planks have several large voids in the interior of the concrete […]

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Autonomous next generation wireless communication network optimization

Since the mid 1980s, moving access points, such as Wi-Fi, closer to network devices has been the largest contributer to improved data rates and this trend continues, but its scope is more difficult for rural internet service providers. The second technique is from the choice of the assigned spectrum and how this choice relates to […]

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Security Risk and Control Modeling for Deep Learning using the SAGETEA Methodology

SageTea Software will contribute expertise in working with Smalltalk and the SAGETEA model. This includes demonstrating the current database model and how it works. SageTea Software will also demonstrate its current implementation of Deep Learning libraries on the Python side including Tensorflow, Kibana and Elastic Search. We will provide expertise in the SAGETEA methodology and […]

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Symbolic Model-Based Design of a Semi-Autonomous Vehicle Prototype Implementing Independent Wheel Torque Vectoring for Training an Advanced Driver Assistance System

There is a strong belief that autonomous vehicles will play a vital role in the future of the global transportation economy. There, however, exists many open challenges which need to be overcome to realize this future vision. One such challenge is the acceptance from the driver to relinquish full control of a vehicle and ultimately […]

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Relation between biometrics and traumatic brain injury risk: developing a data analysis procedure for concussion risk assessment and management

This project will attempt to uncover more insights into the importance of certain biological, situational and environmental factors that contribute to traumatic brain injuries (TBIs), especially in youth sports. By doing this, we hope to work towards better prediction, prevention, diagnosis and treatment of concussions and other TBIs.

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Application of Light Detection and Ranging in Right-of-Way Management Program

Light detection and ranging (LiDAR) is a method that uses light in the form of a pulsed laser to measure variable distances. These pulses are combined with other data (Global Navigation Satellite System (GNSS) and inertial navigation system (INS)) to precisely obtain the position of points over the shape of the earth and its surface […]

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Improving Construction Permitting Process using Predictive Analytics

In public sector, the decision making of construction permitting can have direct impacts on the ongoing urban development. The efficiency and predictability of the review process is critical for municipalities to provide timely and accurate results to the public. As the review process is managed digitally with process data available, using data analytics to develop […]

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STRATUM: A Digital Field Notes Tool for Archaeologists

Under the Lab2Market Program, the intern will develop and test a field notes tool called STRATUM to alleviate stresses caused by documentation in the field. The tool development will be guided by the results of three studies: 1) a qualitative investigation of user needs and sources of stress (already underway); 2) a preliminary survey of […]

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Fish use of restored and natural salt marshes in Maritime Canada

Salt marshes are coastal wetlands that provide many ecosystem services. Many fish species are known to use salt marshes as habitat at some point throughout their lives including those that hold commercial and recreational value. Depending on their location, salt marshes may experience varying degrees of tidal flooding, not only making more areas of the […]

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Business Model Innovation for Power Utilities

Research and Development for Modeling the Perceived Value of Energy Consumers is a novel area of study which should help to better understand the energy consumers and the perceived value they place on different services and products. By identifying, understanding potential new products and services the related business models can be developed. Various dependencies between […]

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