Real-time, high-availability digital-twin models for supervisory control and energy demand optimization of intelligent buildings

The overall goal of this project is to approach the concept of “smart buildings” from a novel perspective by creating a new building automation and controls technology that unifies smart buildings with data centres, with a focus on interaction between digital models and human operators. Data centres pose unique agility, reliability, security, and efficiency requirements which represent an as-yet unexplored perspective for building automation.

Scrutability of the “black box”: machine learning & social justice in educational measurement

Canada relies heavily on the role of language proficiency tests in determining suitability for high-stakes decisions such as admission to study programs, employment, residency, and citizenship. Increasingly, such tests are administered by automated scoring systems, employing machine learning models, which have been criticized for “black box” elements leading to inscrutable and unexplainable models of assessment.

Design and Development of a Non-Parasitic DC Fast Charging Station for E-Transportation

The main objective of this project is to design, develop, and demonstrate Canada’s very first non-parasitic EV (NPEV) fast charging station for e-transportation based on hydrogen fuel cell as the main source of power. The TerraVis® Energy system will be a unique solution capable of providing true 100% green electricity without impinging on the energy infrastructure.

Wireless subsurface soil sensor network

The project will test new data transmitting technology as equipment for measuring such soil physical characteristics as temperature, humidity and CO2. Data transmitted both wirelessly (through the air) and below the soil surface at different depths will be determined. Apart from this, it is expected that measurements from soil freezing and thawing cycles will be recorded and analyzed to learn about the effects of these cycles in other soil processes.

Development of environment-friendly seismic-resilient precast beam-column modules

The inordinate carbon footprint of the precast concrete industry mainly originates from its raw material supply, predominantly cement. Besides, deficient design and detailing of the joints in precast structures result in their inherent poor seismic performance. Thus, it is crucial to investigate greener alternatives to raw materials along with innovative structural design in precast concrete structures to obtain a wholesome sustainable solution for the precast concrete industry.

Privacy and Security Preservation in Internet of Medical Things (IOMT) Devices

Medical devices, like other computer systems, can be vulnerable to security breaches, potentially impacting the safety and effectiveness of the devices. Left unmitigated, these vulnerabilities could allow unauthorized users to access, control, and issue commands to compromised devices, potentially leading to patient harm, identity theft, ransomware, and other illicit activities on patients’ accounts. However, security is constrained by the processing power, scheduling time, and energy resources available to those devices.

Minpraxis Tester signal processing automation and validation

The most energy intensive component of mineral processing is comminution (crushing and grinding), consuming, on average, about 50% of the total electric energy of a mine site. To optimize and thereby improve the energy performance, accurate measurement of the ore hardness is critical. The proposed study is aimed at developing a new test apparatus that represents an improvement over existing methods. The test apparatus has the ability to generate data for larger sample sets than present methods and thereby represents a significant improvement.

Modélisation de mobilité à l’aide de jumeaux numériques

Le projet consiste à concevoir, déployer et démontrer le fonctionnement d’un système ouvert de
gestion des divers usagers à proximité de feux de circulation. L’implantation proposée démontrera
la fusion de capteurs combinée aux mécanismes de localisation et d’authentification de la 5G ainsi
qu’à des sources de données multiples en temps réel via l’informatique de périphérie afin
d’améliorer la performance environnementale, sécuritaire et opérationnelle des intersections
visées.

Investigating a Electromyography Based Electronic Textile for Diagnosis, Monitoring and Treatment of Chronic Pain

Central sensitization (CSens) is common in chronic pain conditions and causes people to feel a more intense pain. CSens is not well recognized by healthcare providers and is very difficult to treat with the currently available techniques. Methods of diagnosing CSens are of interest to pain researchers, but a great deal of work is required in the assessment of sensation and movement in chronic pain patients. Additionally, differences between each individual patient and the lack of development of technology is a problem.

The use of thermographic imaging in the detection, identification and characterization of Deep Venous Thrombosis (DVT)

The project will investigate the relationship between Deep Vein Thrombosis (DVT) and temperature. The intern will use researched knowledge and thermal metrics to design a simulated trial to gather data (acquiring and processing several images), analyze (reviewing data and performing analytics), model (create specific DVT data models) and validate the simulated data with real data (human trial phase) for the thermal imaging of DVT. The intern will carry out this experiment using a novel 3d thermal imaginer.

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