Building the Durham Region Food System Report Card: Assessing the opportunities and gaps in attaining a sustainable and just regional food system (Phase 2)

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 […]

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Dynamic actor tracking for Augmented Reality-based filmmaking guidance

Augmented Reality can help in simplifying the filmmaking process by intelligently suggesting shot composition angles for amateur filmmakers to take better shots. In partnership with Rubber Match Productions, researchers will investigate how actors within an AR filmmaking environment can be dynamically tracked to provide real-time guidance to the filmmaker for shot composition. The project will […]

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Advance Airspace Usability

The airspace will rapidly change in the next 15 years with increased automation of air traffic control, flight path tracking with strong time constraints and big data exchange between the aircraft and ground control for communication. However, little information is available to understand the impact of this transformation on the pilot’s tasks and how to […]

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Challenges and Opportunities in the Operation of Residential Building and Hotel (Class B) Pools during the COVID-19 Pandemic

The COVID-19 pandemic affected every aspect of our lives, and recreational water facilities were not immune to this with several questions and concerns about potential exposure to the virus at these facilities. This research project aims to understand experiences, needs, and opportunities towards the use of pools in residential buildings and hotels. Two groups of […]

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Research and Development in Helical Steel Pile Heat Exchangers

Helical steel piles are commonly used structural elements that anchor building foundations deep in the soil. Recently, it has been demonstrated that they can be used as ground heat exchangers with ground source heat pumps (GSHPs). These dual use geo-piles (structural and thermal) have the potential to significantly reduce GSHP installation costs, leading to greater […]

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Machine Learning and Stochastic Chemical Modelling: A Novel Synthesis for Emissions Mitigation

Combustion-generated particles called ‘soot’ are the second worst contributor to climate change and are carcinogenic to humans. The formation of soot in combustion devices, however, remains poorly understood. It is therefore essential to gain a better fundamental understanding of soot formation to help reduce soot emissions and mitigate its negative effects on humans and the […]

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Coaching Mental Health Providers and Adults to Achieve Optimal Sleep

Millions of Canadians struggle with insomnia, but common methods of dealing with poor sleep (e.g., medication) have poor side effects, do not have lasting effects, and are not preferred by patients and providers. Although cognitive behavioural therapy for insomnia (CBT-I) is the gold-standard treatment, there is limited access because most mental health practitioners (MPHs) do […]

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Business Analyst (BA) Impact on Business Agility and Data Analytics

Digital Transformation of business, combined with globalization through outsourcing, has create an increasingly fast-paced, competitive environment for most businesses. Additionally, new disruptive technologies such as Artificial Intelligence and Blockchain are just beginning to open new opportunities for the next wave of Digital Transformation. Agile concepts have accepted in information systems (IS) development for more than […]

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Developing an Efficient Ensemble Machine Learning Model for Generating Insights and Evaluating Contractors Qualifications for Successful Execution of a Construction Project

The research is meant to invent a quicker and efficient method for evaluating potential suppliers for public sector procurement, especially for construction services. This is a complex and paper intensive process today. Using machine learning models to decipher data and PledgX is focused on building a solution that enables public sector buyers evaluate suppliers more […]

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Ubiquitous vital sign monitoring with loss of balance detection

This project will develop a loss of balance detection system to enhance the iMD Research Vital Zenzer, which monitors vital user biometrics. Accelerometer signals from both waist and wrist-worn body locations will be analyzed to obtain key inputs for Machine Learning and AI algorithms. Such algorithms will be developed to adapt to changing user conditions […]

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Long Duration Flight Using Wireless Power Transmission and Solar Power

The proposed research project will demonstrate the feasibility to fly a small uninhabited aircraft for very long, multiday missions by providing it with power using a mix of wireless power transmission and solar-power. The wireless power transmission will be sent as a directed microwave beam from a ground-based transmitter and received using rectennas that are […]

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