Mapping anthropogenic noise in Alberta using passive acoustic monitoring data

Noise from human activities negatively affects the well-being of humans and wildlife alike. In rural areas, ecosystems that are relatively undisturbed by human activities may still be subjected to noise exposure from vehicles passing nearby, industry-related noise (e.g., compressor stations), or from airplanes overhead. To date, however, little work has been done to quantify what proportion of Canada’s land area might be exposed to anthropogenic noise, and how much noise is out there.

Star Salvager: A Remote Games User Research Toolkit for Small Teams

As Games User Research (GUR) becomes a mature and essential pillar of game development, the challenges of performing rigorous qualitative and quantitative research in small teams are exacerbated by the disruption caused by the 2020 COVID-19 pandemic. Research methods such as heuristic evaluation, think-aloud usability testing, initial experience testing, playthrough observation, and post-launch data analysis are taught as industry-standard in GUR courses. And they yield important insights on game usability, balance, learnability, and accessibility.

Metabolic Targeting of Inflammatory Pathways for the Treatment of Non-Alcoholic Steatohepatitis (NASH) and Chronic Kidney Disease (CKD)

Non-alcoholic steatohepatitis (NASH) and/or chronic kidney disease (CKD) affect more than 5 million Canadians. Progression of CKD is the primary cause of end-stage renal disease while NASH is now the leading cause of liver cirrhosis and liver transplant.

Benefits and Challenges of using a Digital Health Platform for Remote Delivery of Allied Health Provider Services

The proposed research is aimed at understanding and predicting the adoption rate for a proposed commercialized platform, based on the HQB Prototype, and for providing essential insights into the user experience by both user groups of the HQB Prototype that will be included in the design specifications for the commercialized product.

HealthQB has been researching indications of the parasympathetic nervous system and wellbeing of chronic pain patients in allied health since 2018.

A Unified Hardware / Algorithm Approach to Secured Machine Learning for Cyber-Physical Systems: Applications in Autonomous Vehicles and Connected Autonomous Vehicles Networks

The advancement of artificial intelligence (AI) systems has enabled development systems such as autonomous vehicles (AVs). However, like any other technology, AI systems suffer from security vulnerabilities, and they can be easily fooled by a smart adversary. Malicious attacks on AI systems in safety-critical system such as AVs can be life-threatening or result in financial harms. Unfortunately, the research on defensive methods against adversarial attacks on AI systems is at its infancy, and there is a lack of proper understanding of the inherent security vulnerabilities in these systems.

A low-cost wearable tele-health monitoring system for chronic and infectious diseases

Continuous monitoring of health allows for early diagnosis and tracking of disease progression, thus enabling timely medical intervention. However, continuous monitoring of the patients' health is conventionally conducted in hospitals or long-term care facilities with expensive, bulky, and unobtrusive systems, which require skilled professionals to operate.

Pairing Meteorological and Power Data for Marine Hybrid Electric Boats

Research will be conducted to determine the best way to visualize and operationalize electric and diesel engine performance data collected in real-time for vessel owners and operators. The boats involved in this research work are candidates for using hybrid electric/diesel drive. The methods of displaying data will be explored to determine the best way to visualize the interaction of the various data points in real time. The goal is to research the characteristics of a “fit-bit” for a vessel, tracking vessel performance and supplying feedback in real-time.

Developing nature-based interlocking barriers for protection against climate change-induced erosion and flooding

The joint research's primary goal is to pursue the most optimized design and materials of new interlocking barriers to prevent coastal erosion and reduce flooding, which are growing concerns of coastal communities like Newfoundland and Labrador. The research results will support investors and industry to have access to a cost-effective and efficient barrier to protect their natural resources and cultural heritage in a sustainable way.

Enhancing visualization of manufacturing complexity highlights on CAD file

Currently, the service provided by GRAD4 has an interface for visualization of CAD models. However, there is still room for improvement in speed and comprehensibility for the users: both manufacturers and buyers. The main challenge of implementing the improvements is in relatively high computational cost of such visualizations: while a regular PC handles such task efficiently, web-based tools tend to have difficulties when modelling 3D object with similar performance.

Genes to affordable medicines - Stream 1-A1

The Structural Genomics Consortium (SGC) is a not-for-profit public-private partnership research organization that aims to accelerate the discovery of new medicines through open science. This Mitacs cluster will bring together SGC’s industry and academic collaborators to work together towards new and affordable medicines for challenging diseases. Sixty-three post-doctoral fellows will spend 2-3 years developing open source tools and knowledge for previously understudied proteins, thereby unlocking new areas of biology and identifying new opportunities for drug discovery.

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