A Feasibility and Usability Study of Virtual Reality Assessment for Paramedic Occupational Competency (VAPOC) in Saskatchewan

This goal of the project is compare tools that can be used to evaluate the job performance of paramedics in a fair, equitable and consistent way whether they live in Saskatchewan or somewhere else in the world. Individuals who have completed their paramedic training will be evaluated using a common real life situation that they will experience when working as a paramedic in our province. The situation will be experienced in an artificial environment or through the use of a mannequin doll.

Search Result Aggregation Approaches for Multi-Source Content

Scrawlr is a platform for unconstrained, global interaction with all internet content and users. Scrawlr allows for user evaluation and unconstrained classification of any Scrawlr-hosted or non-Scrawlr content.

Fostering Food Security through Local Cultures: Living Heritage Insights from Rural Indigenous and Non-Indigenous Communities

Current challenges, like climate change and the COVID-19 pandemic, have brought new awareness to how we consume, produce, and distribute food. In Saskatchewan, climate change is already impacting the quality and quantity of southern water supplies and strategies used for hunting, gathering, and fishing in northern areas. Amidst these challenges, this project examines whether local tradition and heritage can help revitalize food systems in the post-pandemic period.

Analysis of Canadian Western Red Spring Wheat Using Near Infrared Spectroscopy

The proposed research will develop a reliable analytical method for the quantitative analysis of grain grading factors for Canadian Western Red Spring wheat using near infrared spectroscopy (NIRS). Most commercially available near infrared spectrometers used in agricultural applications require significant expertise, a large footprint, a controlled environment, and are prohibitively expensive. The NIRS technology is effective for understanding grading factors, like protein content, and has demonstrated potential for other factors.

Sensor for the detection of space debris, communication signals and moon dust

This research project will develop new methods for detecting space debris, communication signals, and moon dust equipped on spacecraft and satellites to be launched in the future. One of the major concerns with equipment orbiting Earth is the possible collision with space debris. Also, a lunar outpost equipped with the Canadarm3 is planned for completion by 2024 as part of the lunar Gateway. Spacecraft travelling to the lunar outpost and to the surface of the moon will be heavily affected by abrasive moon dust, resulting in the need to detect its presence.

Changes to the Aquatic Community of Boundary Reservoir Associated with the Phase Out of Fossil Fuels

Boundary Reservoir near Estevan, SK has warm water from a coal plant released into it and this warm water created suitable conditions for the reservoir to support the only largemouth bass fishery in the province. In the coming years, the power plant is significantly reducing its operations and it is unknown what will happen to the aquatic community when the warm water input is halted.

Vehicle Re-identification using Computer Vision and Machine Learning

This work aims to design and develop an efficient visual based vehicle re-identification system for International Road Dynamic. Vehicle re-identification, which is defined as: Identifying, classifying, and position-referencing a vehicle of interest through images/video streams collected via a network of camera stations, plays a key role towards developing intelligent transportation system.

Dynamic Network Management and Performance Optimization for Smart Talk Beacon’s security architecture

Internet of things (IoT) systems require significant management related to external intrusions, internal threats, device failures, access management, and performance monitoring. In addition to network management issues, quality of service (QoS) must be maintained to predict changes and determine device and network performance. A good IoT system should be able to identify, track, and mitigate problems while dynamically adjusting its operation.

An Innovative Approach to Optimize Heavy Oil Recovery Using a Novel Synthesized Liquid Catalyst

Chemical-assisted enhanced oil recovery (EOR) has recently received a great deal of attention as a means of improving the efficiency of oil recovery processes. Since heavy oil production is technically challenging due to its high viscosity and high asphaltene content, therefore, new recovery techniques are often tested and applied in lab-scale. This study will contribute to general progress in this area by synthesizing liquid catalyst (LC) in the lab and applying it to enhance the heavy oil recovery.

Economic evaluation of small-scale CO2 capture and storage project

The goal of this MITACS proposed project is to evaluate the preliminary performance and economics of the carbon dioxide capture technology using recovered waste heat from engine exhaust and utilizing the recovered heat to regenerate solvents in a small-scale carbon dioxide (CO2) capture project. This is because the regeneration of the solvents requires high energy. The combination of waste heat recovery and carbon dioxide on a single system, which overcomes this problem and provides an energy efficient solution, will be studied for use at new facilities and retrofit to existing facilities.

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