Development of an embedded piezoelectric sensor for bearing fault detection

Rolling element bearings act as the heart of rotating machines. Any imperfection in their condition can lead to an abrupt failure which can be catastrophic. For more than two decades, implementing sensors for condition monitoring of bearings has been beneficial in preventing abrupt failure and fault detection. These sensors require a noise-free atmosphere to have optimal performance, however, noise and vibration from other machines are an unpreventable part of an industrial environment.

Improvement of a Portable Assistive Device Concept for Hand Rehabilitation

As the number of patients with stroke and Parkinson's Disease (PD) increases, it is essential to obtain treatment progress data efficiently for the home rehabilitation. For the therapy of hand disabilities, a system is required to collect data, process and control hand motions during rehabilitation. Current rehabilitation devices that are available in the market are costly and not portable. Existing hand training devices use contact-based sensing approaches that are expensive and inaccurate.

A model retrieval system for efficient bolus shaping

Bolus covers patient’s skins to correct varying surface contours for desired dose distribution in cancer care. The existing method of bolus shaping is a manual process by cutting the bolus material into 2D pieces and wrapping the pieces on the targeted body area, which is inaccuracy and time-consuming. An accurate and efficient bolus shaping method is proposed to increase the bolus shaping accuracy and reduce air gaps by applying a 3D-2D-3D process. In order to improve the efficiency, a model retrieval system will be developed based on feature extracting and image-based matching methods.

Design improvement and prototyping of an upper limb rehabilitation device

Upper limb rehabilitation devices mirror the skeletal structure of patients’ limbs and moves patients’ arms for recovery in rehabilitation exercises. Existing rehabilitation devices in the market have problems of adaptability and portability, which cannot meet different requirements of rehabilitation. This project will improve the design and build a prototype the device. The detail design will be improved in dimensions and specifications based on relation of design parameters and functions. The device prototype will be made by 3D printing.

Financial Modeling based on Sentiment Analysis and Natural Language Processing

Financial variables modelling plays an essential role in computational finance and risk management. Recent research has shown that public sentiment and other information expressed in the natural text such as news articles are important factors correlated with financial variables. The main purpose of this project is to better model financial variables such as market indices and credit spreads.

Application of a Surface Fouling Sensor for Predictive Maintenance of a Brazed Plate Heat Exchanger System

Heat exchangers, used in building heating, ventilation and air conditioning (HVAC) systems to transfer heat from hot to cold fluids, are designed to operate under ideal conditions. However, in practice operating conditions may vary with ambient temperature or humidity. HVAC system efficiency can be improved significantly if fluid flow rates are adjusted in response to such changes. Armstrong Fluid Technology is a Canadian firm that has developed control systems to adjust the flow through building heat exchangers to maximize their efficiency.

Investigation and Development of a Modular Control Board for Advanced, Automated Dispensing Machines

This project will investigate a low cost, modular control board that enables centralized control, data collection, and communication between the sensors and devices required for advanced, automated dispensing machines. The objective of this project is to develop a standardized, low-cost microcontroller, allowing for different sensors and devices to be easily integrated together. Additionally, programs will be developed to facilitate the communication and control of the sensors and devices which will be integrated with existing software.

Dynamic Systems Modeling of Insulin to Glucose in Diabetic Pregnant Females

This project aims to find dynamic systems models of pregnant females exhibiting Type 1 Diabetes for their insulin to glucose behavior. Once a model is identified, this will enable development of an automatic feedback control scheme as a standalone device. This will greatly improve the quality of life of the individual and provide a margin of safety for the fetus during gestation. The project will collect data of injected insulin over time from an automated injection system and also gather measured glucose levels at selected intervals.

Knowledge Modeling and Product Development for Canadian Indoor Hydroponic Farming

Urban population is facing unprecedented growth resulting in the need for additional agricultural resources. Traditional farming practices seem vulnerable to cater to urbanities’ needs, placing an additional burden on the food and agriculture system. Furthermore, the unsettling environmental impact of traditional farming practices has aroused the metropolitan population to search for alternatives, such as indoor urban agriculture and vertical plant systems. This study aims to address the key issues faced by the Canadian urban population to generate knowledge for indoor hydroponic systems.

3D Ultrasound Volume Reconstruction from Inside-Out Tracking of a 2D Probe

Small, handheld, point-of-care ultrasound devices (POCUS) have been increasingly used in recent years by non-specialists for a wide variety of diagnostic and treatment tasks. Since POCUS devices produce two-dimensional (2D) images, but anatomical structures are three-dimensional, we would often like to construct 3D volumes from a sequence of 2D US scans.