Using tacit knowledge in peer communications and research literature to identify emerging respiratory therapy practice topics and trends

Each day several email messages containing respiratory care topics, issues, and latest treatments are exchanged within the Respiratory Therapy community. Effective exploration and visualization of informal knowledge in these email threads and combining them with the scientific articles published in the Canadian Journal of Respiratory Therapy (CJRT) has the potential to inform future respiratory care practice.

Improved Human Movement Tracking and Prediction in High-Occlusion Multi-user Virtual Reality Environments

Virtual reality has the ability to change the way people work and play together, but almost all VR technology to date is designed for single users in separate, dedicated spaces. The problem with having multiple people in the same shared room (while in a shared VR experience together) is that they become much more difficult for the sensors to accurately track because sensors become visually blocked more often. This research proposal is focused on using intelligent algorithms to help improve tracking accuracy in these situations, while keeping hardware costs as low as possible.

Hardware Support and Heterogeneous Compilation for P4

Today’s data-center network services cover a broad spectrum that evolve rapidly which means that regularly new services need to be deployed in production networks in a timely manner. Using network programmability, a network programmer can write a precise specification of what the network behaviour should be, and this specification is translated by a compiler and executed on the hardware. The goal of the project is to allow this programmability to include automatically leveraging hardware to improve performance.

Using a Blockchain Cryptocurrency to enable an Educational Business Ecosystem

This project is to build the educational peer-to-peer infrastructure for young high schoolers or athletes to access services and goods from the experts in the respective field. For example, organizing or providing all the details for any sport’s session conducted by skilled instructor, and the system for instructor to be able to verify the session’s worth in a long run via feedbacks. In order to get this system more efficient, first a cryptocurrency “wisdom pearls” will be created on peer-to-peer private network to mitigate the financial costs of payment gateways and bank.

Advanced Analytics Initiative

Mental health issues affect a large percentage of the military population. The HERE4U Military Version will be an instant messaging smartphone application to connect military family members (adults only) who are dealing with mental health problems to a mental health counseling solution that uses the IBM Watson cognitive platform. Being able to engage with Watson in a secure, private and anonymous manner will encourage military personnel to reach out for help where they might not have in the past to obtain timely advice.

Investigating How Teachers Learn and Customize Digital Classroom Tools II

Our proposed research investigates how K-12 teachers learn and customize digital classroom tools and learning management systems and how they share this information with each other. In particular, we will be working with our partner Microsoft to investigate the use and customization of the recently developed OneNote Class Notebooks software that is increasingly being used by teachers for various content delivery and content management tasks.

Deep Learning to assist requirement translation

Cutting edge techniques in artificial intelligence will be applied to extract semantic information from natural language and work towards building a system that can help engineers write clearer and less ambiguous requirements for complex systems. Models will be developed that are similar to current techniques used by popular translation tools, and will be adapted for paraphrasing and ambiguity reduction.

Advancing Out-of-Band Network Measurement for Multi-Hop Sensor Networks

This collaborative project with Rimeware will investigate out-of-band measurement approaches that can passively monitor the network traffic and provide rich detailed network information, e.g., latency, loss, route path, etc. The goal is to build a programmable system for accurate, generic, and robust network measurement. It includes two sub projects. In the first sub-project, we will research the sniffer deployment problem with lossy and correlated link models and develop a set of instructions that provide programmable interfaces for network administrators.

Using Augmented Reality to Improve Quality in a Discreet Component Assembly Process

Quality control in manufacturing can be a challenge. While many use AR (Augmented Reality) to reduce error in training processes or to assist with the assembly process, this research will introduce AR as a means of performing quality checks while the worker is assembling, thus allowing him or her to do two jobs at once. DAQRI will be used as a smart visor/helmet to provide visual cues to the worker, eliminating the need to check a status screen for updates, as well as identifying any assembly errors and providing a means to fix the problem.

Optimization tools for short-term hydropower generation management

Short-term hydropower optimization models are used on a daily basis to dispatch the available water for production between the turbines of the power plants that compose an hydropower system. Rio Tinto owns and operates power plants in the Saguenay Lac-St-Jean region of the province of Quebec and is currently lacking efficient tools to help the engineers in the daily decision making for the management of their hydropower system. The objective of this project is to develop tools to solve the short-term optimization model and therefore improve the water productivity of the hydropower system.

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