IR imaging presents the temperature distribution of the exterior surface of a wall and is typically assessed through visual inspection by building science experts. A specialist must review numerous images one by one which is inefficient and inaccurate. The use of Unmanned Aerial Vehicles (UAVs) with IR camera attachments has become a method of faster and more accessible on-site building envelope evaluation. The proposed research aims to develop a machine learning framework to improve the evaluation of energy loss through the envelope, using UAV and IR thermography.
Coronavirus is highly contagious. It can remain active and infectious on cardboard, fabric, and paper for up to 24 hours, on plastic, stainless steel, and countertops for up to three days. Decontamination, sterilization, and disinfection are standard procedures to prevent and reduce the spreads of COVID-19.
As a solution to reduce congestion on vehicular roads and mitigate longer travelling times, this technology provides the most optimal routes for drivers by guaranteeing the shortest travel time in an eco-friendly environment. The technology relies on communication to road-side intelligent intersection agents with embedded sensors that to estimate routes based on the real-time road link traffic status. The system is capable to distribute traffic in an efficient manner to control and coordinate vehicular movements.
Currently, the global warming alerts, oil prices fluctuations and clean energy have paved the way of investing in the producing wells by enhancing the recovery of hydrocarbons compared to exploration wells. Applying hydraulic fracturing from injected fluids is most common method used. These fluids create cracks in the bedrock and push the hydrocarbons to the surface. The well usually have harsh conditions of high temperatures up to 200 °C and a variant pH between 3-11 which cause challenges to the injected fluids.
IN_SITU is a research study that investigates the possibilities and challenges of connection and bridge-building between Canadian arts sectors and the most advanced academic research centres dealing with Artificial Intelligence in Canada and beyond. The study will explore how artists and artistic organizations can augment their digital strategies, literacy and intelligence when artists co-create with tech/AI research environments.
Acknowledging that discrimination and prejudice of various sorts (e.g., verbal, behavioural, environmental) continue to exist in the education system, this research seeks to address how and why microaggressions against Black, Indigenous, and People of Colour (BIPOC), within engineering departments, show up among peers in classrooms, across interactions in lab environments, group-activities, and more.
The Diversity Institute (DI) aims to work in partnership with CGLCC to identify barriers for entrepreneurship in the LGBTQ2S+ community and drive inclusive innovation in the Canadian business ecosystem. Through in-depth interviews with LGBTQ2S+ business owners across Canada, recruited through CGLCC’s supplier network and diverse partners, the project aims to fill the gap in available data on these businesses.
Using simplified language understandable to a layperson; provide a general, one-paragraph description of the proposed research project to be undertaken by the intern(s) as well as the expected benefit to the partner organization. (100 - 150 words)
To address local food system issues like loss of farmland, people without enough food, or climate change impacts, it is important to see such issues as all related. This project will assess Durham Region food system resources, like local research and policy documents, to find strengths, areas to be addressed, and areas to be studied more.
The COVID-19 pandemic has increased depression and anxiety in Canada, adding to the current opioid drug dependency crisis. Mental health supports can be used with drug options to relieve symptoms and promote better health. Some cases of depression are resistant to treatment, and alternatives are needed that bring patients relief. Psilocybin is a compound found in “magic mushrooms”. Psilocybin is a highly effective anti-depressant; it is also non-addictive, and less toxic than many medications including caffeine and alcohol.
Our method reveals the interaction landscape of a given drug. We will generate a two-part biosensor inside living cells. The first part involves a genetically encoded reactive ‘beacon’. The second part is the drug of interest, synthetically modified with complementary reactivity to the beacon. When present together in cells, both parts chemically combine to form a chimeric ‘drug-beacon’, which will then report on the local protein environment of the derivatized drug by using proteomics.