Anomaly Detection in Highly Noisy Signals from Electrical Rotating Machines

Equipment failure is the primary source of unplanned downtime in industries working with rotating electrical machines. Fault detection at the early stages is an essential solution for reducing this downtime. Condition monitoring of machinery is the process of capturing and monitoring parameters such as vibrations to identify a developing fault. This project uses the data […]

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Criterium Group Fall 2021

Criterium Group will support the Energy Client in transforming operations and determining the most sustainable and economic decarbonization technologies to utilize at The Asset. The Asset site has important characteristics that facilitate bridging to the new technological solutions being pursued as well as beneficial infrastructure, integration, and geological attributes that could improve the feasibility and […]

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Behavioral mapping Using Machine Learning and Natural Language Processing to Predict Individual Behaviors and Team Dynamics

This project tackles the issue of knowledge incompleteness and lack of domain coverage in resume and job posting matching caused by the exploitation of domain-general resources. A variety of co-operative semantic/ontological resources will be used to filter out irrelevant resumes. A two-way (candidate to job and job to candidate) semantic-based automatic suitability ranking is proposed. […]

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Wireless gas sensor based on activated carbon and nanofibrillated cellulose for detection of food spoilage

Monitoring the quality of perishable food is critical for reducing the societal costs. A wireless intelligent gas sensor based on biomass/heavy oil-derived activated carbon will be prepared to monitoring the spoilage of food. Agricultural/forest biomass residual materials such as straw, sawmill waste, and logging residue, and cheap and abundant bitumen are feedstocks yielding high porous […]

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Identification, localization, and characterization of human body inflammation using thermographic imaging

The research project undertaken by the intern is to investigate the relationship between inflammation and temperature, use that knowledge to define thermal metrics and develop a standard operating procedure for 3D thermal body imaging. During the project the intern will build a phantom to evaluate and optimize the performance of a commercially available 3D thermal […]

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Micro Geothermal Power Generation in Depleted Wells

Engineers use the earth’s heat to create heat pumps, to store energy, and to generate power. As the world moves away from carbon fuels, geothermal resources are increasingly attractive, promising sustainable, reliable sources of energy. Fortunately, the oil industry has already provided infrastructure to access this resource—depleted horizontal oil and gas wells drilled to a […]

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Development of optimized contact materials for interconnect layers in reversible solid oxide fuel cells for the conversion of CO2 and H2O to syngas

SeeO2 Energy has developed world-leading catalysts for reversible solid oxide fuel cell (RSOFC) systems with promising performance to produce syngas from H2O:CO2 feeds. The company has scaled-up the technology and has moved closer towards commercialization by building larger cells. However, assembling the RSOFC stack presents challenges due to issues associated with contact materials especially at […]

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FOREX Geocoding System for Foreign Currency Market Monitoring

An existing Forex currency trading system has demonstrated a proof of concept on a static data set. The current project proposes to implement the trading system for real-time applications taking advantage of available geospatial information which can influence currency markets. The novel methodology will be based on building a high-dimensional weighted autocorrelation model between real-time […]

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Novel Ovulation Research-Recruitment Methods for an App (NORMA) Study

One purpose of the proposed research project is to contribute to the My Normative (MyN) app development by increasing the number of users on the app and maintaining long-term app usage. The second purpose is to verify the accuracy of the app’s menstrual cycle prediction in female persons of varying cycles less than or greater […]

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Exploring the Use of Simulation-Based Learning with Community-based Settings to Promote Clinical Practice Competencies in Practitioners

This project seeks to answer the overarching research question, how can the use of simulation-based learning (SBL) within a community-based setting improve access to training and the development of clinical practice competencies in practitioners (e.g. social work/psychology students/professionals). The project will expand access to experiential learning within a community-based setting using multiple modalities within the […]

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Evaluation of viricidal effect of TPX-220 sol (Green Millennium, Inc.) against Severe Acute Respiratory Syndrome Corona Virus (SARS-CoV)-2 and influenza A virus

Highly contagious respiratory viruses such as severe acute respiratory syndrome corona virus (SARS-CoV)-2 and influenza A virus (IAV) transmission occur via commonly touched surfaces since these viruses can be active on these surfaces for various lengths of time. In the proposed experiments, we partnered with industry (UTechnology, Calgary) to evaluate two methods that could be […]

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Hydrology and geochemical cycling of a complex urban stormwater system

The hydrologic cycle in major cities is influenced by roadways, rooftops, and other features, resulting in greater runoff and poorer water quality. At airport sites across Canada, de-icing compounds can also degrade water quality by altering water chemistry in surface ponds as well as subsurface water (i.e., groundwater). This project aims to characterize water movement […]

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