Identifying Questions for Game-Based Learning through Deep Learning

Game-based learning tools often make use of questions to measure and encourage learning, but generating questions can be challenging, especially at the scale that companies like Axonify are required to do. In this project, the intern will design, implement, and evaluate a system that can apply machine-learning on a corpus of text (e.g., a textbook) to automatically generate questions that can be used in game-based learning tools.

Ultra-thin graphene oxide membranes for efficient humidity harvesting

The main goal of the proposed work is to develop an ultra-thin and selective GO membrane capable of separating water vapor or steam from air. For this purpose, a suitable membrane supports required to hold the GO sheets. Therefore, the GO sheets will be deposited on various membrane supports and their performance in terms of selectivity, permeability, and mechanical strength will be evaluated. Then, the effect of GO layer number on the selectivity and permeation rate will be investigated.

Identifying SMEs’ Barriers to Electronic Payment Adoption

During the past two decades in Canada, use of electronic payment has steadily increased. However, despite the downward trend in the volume, the value of cheques has steadily increased, with the five-year average volume growth increasing by about 2% due in large part to their common presence in the business-to-business space. These trends indicate that even with emerging of EFT payment instruments and online transfer options as substitutes for cheque, there are yet some barriers to electronic payment adoption specially for small and medium businesses.

Flow Weaver Virtual Reality Research Project

This project is intended to further the videogame industry's understanding of user presence and immersive game design, where the player feels that they exist in a virtual space and can control a virtual environment with their physical body. Rather than trying to achieve immersion in a virtual world by escaping from the body, this project engages the player's body on the other side of the screen through motions and mechanics enacted through virtual body ownership.

Behavioural finance profiling for financial advisors and clients

The purpose of this study is to develop a structural model that enhance the effectiveness of the financial advisory services. The primary value proposition Betterworth wants to demonstrate to the financial institution is how the betterworth platform will make financial advisors’ more efficient, enabling them to attend to more clients, cut their operational costs, target better solutions, enhance retention and sell additional products/services – ie. boost and extend the CLV (customer lifetime value).

Cellulose Nanocrystals Reinforced Nitrile Butadiene Rubber (NBR) nanocomposite dipped products: Processing and Structural Properties

The research project will develop processes for the fabrication of latex rubber films containing cellulose nanocrystals (CNCs) as reinforcement to enhance the physical properties of the films. Similarly, improving the compatibility between the latex rubber and the CNCs will be investigated which is expected to significantly improve the physical properties of the films, resulting in the possibility of using thinner films. Benefits to the partner organization will be the added value of CNCs especially to the rubber industry which will generate more market and revenue.

Health Data Extraction Review Analysis Learning Device in Nephrology (HERALD-RENO)

Data has become a central part of any organization’s day-to-day operation. Organizations are looking to turn this information into actionable insight. The Dialysis Measurement, Analysis and Reporting System (DMAR) is designed to track healthcare quality indicators where changing practice will have high impact. The DMAR system applies rigorous methods to measure key health care performance measures and efficiently implement and measure change.

Safe and Smooth Path Planning for Autonomous Robot Navigation

Clearpath Robotics has developed an accurate GPS navigation system that enables autonomous robots to move in outdoor environments. However, to move toward a target location and avoid obstacles along the path, a path planner is required. The objective of this project is to develop, tune and modify an efficient path planner for the robot in order to make it capable of moving in outdoor environments, then, the performance of the path planner and GPS navigation system will be checked by extensive real-world experiments.

Compressed Air Energy Storage in Cased Wells

The project will adapt Compressed Air Energy Storage (CAES) to a cased well. CAES is a mature and proven energy storage technology, however it traditionally uses large salt caverns. By understanding the deformation of a wellbore due to pressure and hot air injection, one may be able to determine the operating range of the system. Cased wells are easy to deploy and decommission. They may be installed wherever is advantageous. They involve drilling a well and installing a high-grade steel casing into the wellbore. The depth of a single well can be anywhere from 500-1500 meters.

Visualization of lipid and protein deposition on contact lenses in a sophisticated in vitro eye-blink model

Contact lens discomfort is one of the primary reasons that cause people to stop wearing them. The discomfort may be due to the buildup of tear film components on the lenses during lens wear. The purpose of this project is to understand where most of the tear film components are depositing on the lens, such as the back or front of the lens. These findings will help researchers and companies develop better and more comfortable contact lens materials in the future.