We have developed an innovative computer-aided, game-based platform for rehabilitation. The platform includes an embedded automated assessment subsystem, which provides electronic measures of fine and gross motor skills and specific psychomotor skills. The primary objective of this research project is to evaluate the test-retest reliability and convergent validity of the standardized assessment subsystem embedded into our game-based rehabilitation platform.
In response, local researchers and companies have partnered to develop a new generation of unmanned aerial vehicles (UAVs). They hope to develop UAVs — commonly known as drones — that are robust enough to transport large cargo across vast distances without needing a pilot or GPS.
Cells in our body secrete round structures lined by cell membrane under normal as well as stressful conditions. These “structures” or “micro vesicles” are termed as exosomes. They contain information from parent cells that can be transferred to other cells, thereby acting as cell-to-cell communication units. In this study I aim to identify the presence of bitter taste responsive proteins in exosomes. Bitter taste responsive proteins are also known as chemosensory proteins. These proteins have demonstrated significant role in pathophysiological conditions.
This project aims to develop an aviation engine testing cell training simulator to facilitate training novice operators. The final product will be an engine test simulator that closely resembles the existing display console used by General Electric (GE), except that simulation models of various engines are used instead of the actual engine. Novice operators will be trained with the simulator and their performances will be quantified. The project also establishes necessary and sufficient conditions for evaluating the effectiveness of the training simulator for aviation engine testing.
The increased utilization of HVdc technology around the world has created the need for evaluating the reliability of power systems that contains HVdc facilities. For example, if the generation system is remote and it is connected to the load centre through HVdc links, the transmission may have a significant impact on the overall system reliability performance. Most of the research described in the existing literature focus on analyses of simple example power systems to illustrate the concepts, models and techniques in probabilistic reliability assessment of HVdc systems.
Health Canada recommends that at six months of age, babies start consuming nutritious ironrich foods such as meat. These foods must be adequately prepared in order to be safe for consumption. However, preparation of homemade food is not always possible. This project aims to develop a line of baby food using high pressure processing (HPP), a novel technology that preserves nutrients but reduces microbes in food.
We will develop an algorithm that uses subsurface images obtained by spectroscopic optical coherence omography (OCT), to estimate the remaining lifetime of high voltage transformer insulation paper. To allow uture almost instantaneous in-field estimation during transformer maintenance outages, this algorithm when sed with, e.g., a fiber-based spectroscopic OCT, should produce results in less than 5 seconds. Using existing ptical hardware, we will build a benchtop spectroscopic OCT setup to image both synthetically and in-field ged transformer insulation paper samples.
By incorporation of distributed power generation to passive distribution networks, these networks will change to active networks and the studies related to active networks should be considered for them. Disconnection of these networks from the upstream power system may let them operate in islanded mode (a micro-grid). One of the studies that should be considered is the transient stability. Due to the random parameters of micro-grids and active distribution networks, the most realistic method for transient stability analysis is the stochastic one.
This internship aims to develop a new computer method for simulation of large electric power systems. Simulation of these systems is challenging due to their complexity and size, which translates into massive computational loads. The new simulation method will be faster by using parallel computing, will be more customizable than existing methods, and will assist power system designers and operators to gain deeper insight into the operation of the power grid.