Brickeye has developed its optical data acquisition (ODAQ) system in conjunction with partners primarily in environmental remediation, for whom the system was optimized for supporting temperature measurement across multiple parallel channels (up to 48) at low speeds (0.2 Hz). Brickeye’s technological advancements have been primarily focused on system ruggedization for harsh environments and developing user-friendly […]

Maintaining cognitive ability is key to successful aging and to retaining the ability to live independently. BrainTagger is a suite of games that assess highly specific brain functions. BrainTagger LTC is a version that has been designed for measuring cognitive status of residents in long term care (see ltc.braintagger.com for a demo). The goal of […]

Wearable and implantable electronics have the potential to transform personalized health monitoring, particularly as human-machine interfaces and biosensors to improve human health and well-being. When we think about the current electronics in our lives, such as our phones or laptops, we notice that they are mostly hard and not flexible. This is in strong contrast […]

Medical dispatchers are responsible for making decisions about when and how patients are transferred by different hospitals. This can be a very difficult task since patients who are in urgent or emergent conditions require immediate transfers. One of the key pieces of information that dispatchers use in these medical decisions is the time to definitive […]

Waste generation rates are rising, as the results of the increased world’s population. Increased global concern over environmental issues led to a strong interest in developing sustainable technologies that derive fuels and chemicals from renewable feedstock. Renewable biomass materials, as lignocellulosic waste, are attractive since they contain large amounts of renewable carbon and biochemicals with […]

In major metropolitan areas, multi-unit residential buildings (MURBs) are becoming the main housing form. Newer MURBs also come with large exterior windows and doors, resulting in discomfort such as overheating and higher energy expenditure. An effective solution is to leverage the use of window shadings by automating their controls, but more commonly, they are operated […]

To discover how art connects us to our cultural heritage is to understand the world and our place in it. Our content platform, Cilia, is designed to allow visitors to use artificial intelligence (A.I.) based object recognition in order to obtain content about an artwork or artifact. A prototype has been successfully tested with visitors, […]

Introduced Phragmites australis (common reed) is one of the most invasive plants in North America. The weed reduces native plant and animal diversity, disrupts ecosystem processes, and poses a threat to the native North American subspecies of common reed, P. australis ssp. americanus. Conventional methods for controlling introduced P. australis such as herbicides, cutting, and […]

Preliminary data analysis has indicated that many prestressed concrete elements have experimentally determined shear strengths which are substantially higher than the shear strengths predicted by the related provisions in the Canadian concrete design code. While these results represent no risk to public safety, actual strengths which are significantly higher than predicted strengths result in considerably […]

The proposed project is to develop a comprehensive tool for mathematical modeling of the hydraulics and biochemical conversions in the sewer network. This tool will be used for the optimization of the control strategy of the chemicals dosing in sewer networks to efficiently and economically mitigate the harmful emissions, such as hydrogen sulfide and greenhouse […]

Most approaches to intelligent, speech-enabled devices today in the research world involve training neural networks on prohibitively large amounts of examples, with little direct control over what is actually learned. On the other hand, this approach often cannot be applied in real-world settings where the required amount of examples does not yet exist, or the […]

The objective of this project is to help reduce the environmental impacts of automotive painting operation by correlating changes in paint quality, transfer efficiency, and VOC and GHG emissions with droplet size distributions and the spray pattern produced by Electrostatic Rotating Bell atomizers. During the project, data will be collected using the innovative Mazlite platform […]