Anomaly detection using AI/ML for Network Correction

Anomaly detection or outlier detection is a technique to identify rare items, observations or events which are differing significantly from most of the data or do not conform to the expected behavior of the system. Typically, anomalous data cause numerous problems in the computer networking and communication system. This project aims to develop an advanced […]

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An Investigation into the Role of Fe Mineralogy in Hydrocarbon Remediation in Western Canadian Soils

Contamination of soils with toxic hydrocarbons (e.g. benzene) is a widespread environmental concern in Canada. Remediation of contaminated soils is often destructive to land resources. In-situ remediation built on soil infiltration with biostimulatory solutions represents an effective approach that bypasses this drawback, however field studies suggest it is not effective under all conditions. The reason […]

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Development and Evaluation of Interventions for Farm Machinery Operators to Improve Musculoskeletal and Cognitive Health

Producers and farm workers are exposed to whole-body vibration (WBV) on a regular basis when operating farm machinery. The short-term effect of WBV include cognitive impairment and musculoskeletal disorders, such as low back pain. To aid in promoting worker cognitive and musculoskeletal health, rest and/or activity breaks may provide relief from these hazards and can […]

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Indigenous and Northern Centre for Innovation

The goal of this project is to support Indigenous economic development corporations in the establishment of technology-focused companies designed to introduce, test and market new and emerging technologies of potential application for Indigenous communities. At present, northern, remote and Indigenous communities are being left behind in the technological revolution. Companies do not reach out to […]

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Fault Detection in Cables: A Machine-Learning Approach

Fault location identification is one of the most common, but challenging, activities that power operators face within industrial plants. Once a fault occurs in the network, protective relays isolate the affected area from the system; then, maintenance crew use special tools and patrol the area to pinpoint the fault. This process may take a lot […]

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Unmanned Aerial Vehicle Swarm Collaboration for Weed Control in Field Crops

Precision.ai is building solutions to minimize chemical consumption while maintaining weed control through Intelligent UAV based application. Precision.ai has working survey drones that can fly a field, capture images and use AI to map weeds to be sprayed later. Precision.ai also has “See & spray” drones that can fly a field, identify weeds and spray […]

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Secure blockchain technologies

In the recent years, blockchain technologies have shown promise as infrastructure for decentralized trustless anonymous digital asset exchange. The technology promises to transform how the data is shared in many areas including financial sector, insurance and gaming industries. Yet several obstacles prevent mainstream adoption of this technology – one of these challenges is security. To […]

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Innovations in Municipal Bylaw Adjudication

This research will look at existing and possible innovations that would make municipal bylaw enforcement and adjudication in Saskatchewan more accessible, effective and efficient and would reduce the involvement of the formal court system. This may build on the example of regional co-operation offered by the Municipal Bylaw Court in Kindersley, and it may include […]

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StreamSight: Deep Learning Techniques for Managing Contaminants in Residential Curbside Recycling

This project works to classify contaminants found in residential curb-side recycling. This is done automatically using computer vision techniques. As recycling is tipped into the recycling truck, cameras take pictures of the recycling and computer vision software works to identify contaminants found in the load. With municipalities equipped with this fine-grained data, they will have […]

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Improving Monitoring and Decision-making with Uncertain Sensor Data

Terrestrial contaminated sites – such as abandoned oilfields, chemical spill sites, or former industrial zones – are a major environmental problem in Canada and around the world. Environmental Material Science has created new environmental monitoring equipment that generates high-resolution spatially and temporally explicit data on environmental quality. The data must be visualized and then used […]

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Investigation of Water-in-Oil Emulsion on CSI Solvent Dissolution and Ex-solution Performance for Heavy Oil

This research work will establish a systematic workflow for analyzing transient equilibrium foamy oil phase behavior by coupling the CCEC tests, depletion rate and presence of water-in-oil emulsion which are seldom performed for heavy oil. It will provide a strong connection and comparison with previously studies which was conducted in the absence of water-in-oil emulsion. […]

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