Optical Characterization of the SunSimba CPV concentrator

Concentrating Photovoltaic (CPV) systems use low-cost optics to concentrate sunlight onto the highest efficiency solar cells. They typically use 0.1% of the expensive materials used in traditional solar panels and achieve double the efficiency. The Morgan Solar CPV product uses Total internal reflection principals to concentrate the light. Comprehensive characterization of each component of the […]

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Modeling the effect of cloud conditions on incident spectra for concentrating photovoltaic (CPV) energy yield calculations

Concentrating Photovoltaic (CPV) systems use low-cost lenses or mirrors to concentrate sunlight onto the highest efficiency solar cells. They typically use 0.1% of the expensive materials used in traditional solar panels and achieve double the efficiency. As a result, CPV has emerged as a viable option for large-scale, low-carbon, electricity generation in sunny locations and […]

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Action Recommendation Engine (ARE)

Project NOVA will build on the University of Ottawa and Ciena’s advanced analytics capabilities to allow networks around the world to understand where video flows run over their network. This will allow the network operators to improve video Qualify of Experience for their end customers, more quickly and cost effectively fix video impacting network problems, […]

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Combining data science and wearable technology for early health risk detection

It has been well established that if human diseases can be diagnosed early, the prognosis and future quality of life is much improved. With advancements in computing technology in both the hardware (e.g. smaller, lighter, better batteries) and software (i.e. improved artificial intelligence), health systems are entering a renaissance when wearable technology and data science […]

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Towards creating intelligent heat stress monitoring and management solutions to safeguard health and wellness

The scientific challenge for this research project is to advance our understanding of the impacts of heat stress in heat vulnerable workers and to use this information towards the creation of intelligent heat stress monitoring and management solutions to safeguard health and wellness. Currently, our understanding of the effects of heat exposure on vulnerable individuals […]

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Opioid Use in Pediatric-Onset Inflammatory Bowel Disease

Patients with inflammatory bowel disease (IBD) have an inflamed digestive tract and experience diarrhea, fatigue, and abdominal pain. Youth with IBD are six times more likely to take opioids than youth without IBD. We are currently in the midst of an opioid crisis. In 2016, there were almost 3000 deaths related to opioid use in […]

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Opioid Use in Pediatric-Onset Inflammatory Bowel Disease – Year two

Patients with inflammatory bowel disease (IBD) have an inflamed digestive tract and experience diarrhea, fatigue, and abdominal pain. Youth with IBD are six times more likely to take opioids than youth without IBD. We are currently in the midst of an opioid crisis. In 2016, there were almost 3000 deaths related to opioid use in […]

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Detection of Mental Health Conditions from Textual Device Communication

Research into child safety applications using Artificial Intelligence (AI) methods is a new area of investigation. SafeToNet is continuing to develop AI monitoring tools together with a team of researchers at the University of Ottawa. These tools, when used over time, will take advantage of outgoing text-based communications from devices to detect the early onset […]

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Detection of Mental Health Conditions from Textual Device Communication – Year two

Research into child safety applications using Artificial Intelligence (AI) methods is a new area of investigation. SafeToNet is continuing to develop AI monitoring tools together with a team of researchers at the University of Ottawa. These tools, when used over time, will take advantage of outgoing text-based communications from devices to detect the early onset […]

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Time Series Clustering and Classification

Financial indicators of an individual firm may be in the form of time series, vectors, or even richer data, such as text or images. The purpose of this work is to explore and develop methods for dealing with such data, and in particular perform the clustering/classification of such data into similar groups. In the project […]

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