This project will explore cultural asset mapping on the Great Northern Peninsula of Newfoundland and Labrador, a region with rich cultural heritage but which also faces challenges with supporting entrepreneurship and promoting new economic opportunities. The project will explore options for the creation of a cultural asset mapping tool on the GNP through a community engagement process that will involve both traditional knowledge-holders and cultural entrepreneurs.
The partner organization, C-CORE, conducts medium- and large-scale experiments on ice fracture. The goal is to estimate the mechanical loads involved in the interaction of icebergs and subsea cables/pipelines. While the ice fracture tests provide the most valuable data, numerical models may help estimate the loads at custom geometries and conditions the test apparatus cannot create. In some cases, numerical models can predict unexpected situations and guide future research.
Medical devices, like other computer systems, can be vulnerable to security breaches, potentially impacting the safety and effectiveness of the devices. Left unmitigated, these vulnerabilities could allow unauthorized users to access, control, and issue commands to compromised devices, potentially leading to patient harm, identity theft, ransomware, and other illicit activities on patients’ accounts. However, security is constrained by the processing power, scheduling time, and energy resources available to those devices.
Preclinical testing is used as a method to guarantee the safety of new drug in humans. One of the parameters to measure during preclinical testing is the toxicity. The toxicity is an indicator of the amount of dose that can damage a living organism. The idea of this project is to measure the diffusion of the test drug at different dose concentrations to determine the aggregation limit. This method is cheaper and avoids the use of animal testing.
Creatine has been used as a feed additive in the poultry industry to improve energy metabolism and growth performance. However, because of creatine's relative instability in foodstuffs, GAA has recently been explored as a potential alternative to creatine supplements. GAA is the immediate precursor for creatine production in the body. For this process, another amino acid: methionine, is essential. Therefore, to get the best outcome of GAA supplements, an adequate amount of methionine should be available.
With the advances in the technology and shrinkage of the device sizes, many new challenges have been introduce in the design process of electronic devices. Therefore, the designers are required to spend so much time and effort and go through several cycles of design and test to tackle these challenges. This is even more serious in analog IC designs, where even small deviations from device parameters may lead to huge performance loss. Electronic design automation (EDA) tools can provide great support to the designers by addressing the new technology challenges.
This research explores improving soil health through the composting of waste products abundant in NL. As a result, soil health and fertility will be improved, increasing crop yields and thus food security in the province. The partner organization will gain a marketable product developed from feedstock ingredients to a finished soil amendment with supporting data that supports its use as crop growth enhancement.
In partnership with the community-based ice-monitoring social enterprise called SmartICE, we will develop a new remote sensing platform that will mitigate the on-ice risks of community sea ice monitoring across Inuit Nunangat. The safety of SmartICE operators measuring sea ice thickness is especially at risk during freeze-up and break-up seasons when the ice travel conditions are marginal. The use of an unmanned areal vehicle (UAV or drone) to carry the ice thickness sensor, instead of a towed sled, would allow the operators to survey the marginal ice from a safe distance.
This project is a collaborative effort between an industry partner and Memorial University to address the issue of oil spill detection and monitoring using predictive modeling approaches. The project is partly funded by MITACS and in part by an industry partner. The input data are taken from the literature and also captured by some physical monitoring devices such as drones, active/passive cameras and sensors, and satellites. Some smart models will be developed, trained, and tested during the course of this project, and will be used for forecasting and monitoring the oil spill incidents.