Signal recognition with machine learning using wavelet features

The emerging techniques of machine learning and artificial intelligence are making revolutionary changes in all kinds of the industrial world. As a high-tech business solution company, Quartic.ai uses these modern techniques to help industrial manufactory companies work more efficiently. One of the challenging problems is to make the computer automatically recognize the status and behavior […]

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Evaluating the imPROVE LEAN Program at Provincial Health Services Authority

This research project will examine the imPROVE program at Provincial Health Services Authority. The imPROVE program is a large scale initiative designed to ensure or improve the quality and efficiency of health service delivery using LEAN methodology. This research will investigate several components of interest as identified by key stakeholders, which will provide decision makers […]

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Data Centric Protein Extraction Process Optimization

Proteins are used in many products of our day-to-day life. The extraction and isolation of proteins from the raw source is a complex process in which every stage has multiple controlling parameters that need to be monitored and optimized to achieve predicted quality, functionality, and yield. The performance of the extraction process depends on the […]

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Wormhole Structure Characterization through Modeling and Analyzing Testing Data during Solvent Injection Post CHOPS Process

High viscous oil is trapped underground and cold-heavy-oil-production-with-sand (CHOPS) is one of the acceptable methods to produce the heavy oil out by forming wormholes around the wellbore. Saskatchewan and Alberta have thousands CHOPS wells and left 90% original oil in place underground. However, the primary oil recovery is low and solvent like CO2 or propane […]

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Evaluation measurements for an E-Learning Occupational Mental Health Program

This project will recruit an intern to develop appropriate methodologies in order to assess the effectiveness of an occupational mental health promotion program that uses a blended format of in-person sessions and online learning. The intern will work closely with the industry partner to review, develop, and pilot assessment tools, oversee the data collection, analyze […]

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Investigating Existing and New Models of Distribution in Canadian Art Book Publishing

In early 2018, the UK-based publisher Black Dog declared bankruptcy. This headline wouldn’t have made a splash if not for numerous co-publishing partnerships held with Canadian art institutions. Black Dog’s liquidation left galleries and museums across the country with books stalled mid-production, resulting in delayed or cancelled exhibitions. Firstly, why were Canadian institutions partnering with […]

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Development of New Chromophores for Soil Detection on Surgical Instruments

Small surgical instruments can be used multiple times if cleaned properly after each surgery. At the end of the cleaning process, a visual inspection of each instrument is performed in order to detect any traces of soil such as blood, tissue or any other biological materials. However, the human eye is not a flawless sensor […]

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Evaluation of neuro-protective effects of novel water-soluble formulation of Ashwagandha root extract alone and in combination with water-soluble Ubisol Q10 using in vitro and in vivo models of Parkinson’s disease

There is an increase in brain diseases like Alzheimer’s and Parkinson’s diseases as the number of aged individuals is increasing. Currently there is no treatment available that can halt the progression of these diseases. Previous work has shown that a natural compound CoQ10 can prevent brain cell death. Similarly an Ayurvedic Herbal extract, Ashwagandh Root […]

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Using wearable sensor-based technologies to detect changes in health status for prevention of adverse health events and to improve overall quality of life

The project goal is to determine the clinical utility of Orpyx LogR technology to detect gait changes and their efficacy to predict and monitor fall risk. Project I will use existing data to determine sensitivity and specificity for prospective classification of fallers and non-fallers for a composite measure drawn from an extensive battery including single […]

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