Design of a real-time on-site biosensor system to monitor harmful pathogens and protect canola production

Canada is one of the largest canola producing countries. The industry contributes about $20 billion revenue to the Canadian economy. Currently, canola farmers rely on the weather forecast (temperature, moisture, etc.) to decide whether to apply a fungicide. As the Internet-of-Things and sensor technologies get more advanced, farmers are deserved to have better technologies for […]

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Developing a virtual reality simulator and an algorithm to assess visual-vestibular interaction (VVI)

The effect of different factors in the field of view on the vestibular (balance) system including color, intensity, object motion, self-motion sensation, etc. are investigated in this study. Electrovestibulography (EVestG) is used to quantitatively measure vestibular responses from the ear canal, noninvasively. Currently, there is an ever- increasing interest among the health-related authorities to use […]

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Development of a UV-LED disinfection system for ice-machines.

Contamination by microorganisms is a well-known problem for commercial ice machines. Frequent applications of sterilizing chemicals are necessary to keep the ice machines sanitary, a costly and time-consuming process. The sources of this contamination are microorganisms associated with the water used as the source for ice production, the incoming air to the ice machine, and […]

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Objective Assessment of Suicide Ideation using Measures of Electrophysiology Data and Machine Learning

Digital Medical Experts Inc. (DME) is a Canadian start-up company in the business of developing cloud-based point-of-care monitoring systems for the management of psychiatric illnesses. DME has developed algorithms to diagnose and predict optimal treatment for major depression disorder and schizophrenia, and has been allowed patents describing its technology in Canada, the USA, and Australia. […]

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Using Deep Learning to Leverage Data Transfer and AI in Smart Vehicles

Smart autonomous vehicles have now become a reality while the efforts are ongoing to improve the safety, security, efficiency, and performance. In the fast paced digital world, all devices including the vehicles generate a huge amount of data every second which has to be analyzed, stored, and communicated with other devices to reach the next […]

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Optimizing the placement of Med-El’s BoneBridge implant: image-guided positioning and biomechanical efficiency – Year two

Med-El’s BoneBridge implant provides the sensation of sound to hearing-impaired persons. The device’s transducer is surgically implanted in the skull. Key surgical problems are to find a location on the individual patient’s skull that is thick enough to house the transducer and to place and configure the transducer to maximize sound energy transfer to the […]

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Quantifying the contribution of physical contact to athlete training load and performance in women’s rugby sevens

The combination of high-speed running and contact in a rugby sevens (sevens) match is tiring and potentially harmful to athletes. Closely monitoring athlete training loads improves in-game performance and protects from injury. Non-contact injuries, including those from sprinting, account for 10.0% of women’s sevens injuries, making contact-related injuries, including those from tackles, far more common. […]

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Pneumatic Based Clean Powering Options for Buses

This project aims to develop a pneumatic (compressed air) powertrain to be used in a 40-feet bus for municipal transit and school buses. Since the transportation sector is one of the prior contributors of Canada?s GHG emissions ( 24%), any alternative solutions to conventional vehicles carries significant importance to reach the GHG target that Canada […]

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Synthesis of Graphene Quantum Dots with Blue and Red Emissions from Albany Graphite

Among various types of graphitic nanomaterials, graphene quantum dots (GQDs) have ignited tremendous interest in the past few years owing to their small lateral size, quantum confinement, and large perimeter per mass. GQDs are categorized based on their emitting colors (e.g. blue, green, yellow, red and white). Among various emitting colors, GQDs with blue and […]

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Accelerated detection and classification for surveillance applications

Object detection and classification for surveillance applications via deep neural networks have attracted a lot of interests in computer vision (CV) communities. Accurate and fast CV algorithms can alleviate intensive manual labour and reduce human errors due to fatigue and distraction. In detection problem, the aim is to determine bounding boxes which contain interested objects […]

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Real-time Modeling of Virtual Synchronous Generator Type VSC Converters for Power Supply to Offshore Platforms

The voltage source converter VSC mimicking the behavior of a synchronous machine provides many advantages for grid operation. This “virtual synchronous generator (VSG)” will be implemented as a real-time simulator model on the RTDS simulator and used to investigate several operating scenarios. The VS G behaves like a synchronous machine, which is one of the […]

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Colonoscopy Video Analysis Framework

Every year in Canada over 1.7 million patients are diagnosed with Ulcerative Colitis (UC), and have to go through colonoscopy procedures multiple times for disease detection and treatment monitoring. Trained clinicians use endoscopy facilities and technologies for colonoscopy procedures and unfortunately, the current error rate in disease detection is up to 20%. This project will […]

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