People with an amputation at the hip or pelvis have the most difficulty returning to walking because their artificial limb (prosthesis) must replace the hip, knee, and ankle joints. Current prosthetic hip technologies barely meet the person's needs, leaving these amputees with few options. This project will build from current powered prosthetic knee technology (Össur POWER KNEE) to create a new level of prosthetic technology that powers both the hip and knee.

Similar to current efforts in the automotive industry, there is a substantial interest in developing fully autonomous trains. One of the key steps towards enabling autonomous operation is being able to accurately estimate train position and speed. In addition to this, better estimates will also increase safety and reduce distance between trains, allowing more frequent trains in peak hours. The current project deals with a method of estimating the velocity and position without using GPS measurements, which is the standard method.

This project is intended to development the technologies needed for three-dimensional (3D) printing of concrete constructions. This highly interdisciplinary research endeavor will draw on expertise in additive manufacturing, construction, materials science, and robotics to develop the key elements of 3D construction printing.

Conventionally, structural Al sheets are produced via casting thick ingots using Direct Chill (DC) technique, followed by an energy-intensive reduction procedure to the final thickness. A new production process developed by CASTechnology, termed Thin Strip Casting (TSC) technique, can directly output thin sheets, thus reducing the cost as well as the carbon foot print associated with the sheet production. The fundamental differences in the TSC vs.

Customer satisfaction with an automatic car wash is highly dependent on the quality of the final drying phase, with residual water leading to spots and thus poor perception of performance. As such, Suncor Energy is committed to improving the drying phase of their next generation car wash facilities through principled design guidelines based upon scientific investigation of water droplet movement on a surface.

The project will determine sliding wear behaviour of lightweight Al and Mg alloys for the continuously variable transmission (CVT) bore application and other engine applications. High temperature lubricated wear tests that simulate the actual operating conditions of CVT bore will be carried out. In addition, tests will be conducted at room temperature and under the dry conditions to benchmark wear resistances of different cast alloys and determine the wear mechanisms.

The food services industry is ripe for a technological revolution. Challenging labor conditions such as rising minimum wage, high employee turnover, and scarcity of skills among other things makes it increasingly difficult for restaurants to be profitable and scale their business effectively. Delivering a quality product in a consistent manner with today's low-pay low-skilled workforce is difficult at best; and the hallmark of success in the food services industry is quality and consistency. Furthermore, there are sanitation risks in the interaction of workers and the food they prepare.

Polymer ferroelectrets are light weight and flexible materials that display piezoelectric behaviour. These properties make them ideal for use as transducers in the aerospace industry. However, the traditional methods used to prepare high performance polymer ferroelectrets cannot be used for large scale manufacturing due to poor reproducibility or high cost. Furthermore, these manufacturing techniques rely on commercially available materials that are not intended for use as ferroelectrets.

Efficiency of rotary screw air compressors is highly dependent on the errors in the shape of their rotor profile caused by manufacturing errors. The current practice to determine these errors and compensate for them in the design stage involve an extensive amount of costly trials, which will not necessarily lead to an optimum design. In this project, physics-based computer simulations of the milling process of screw rotors of compressors will be developed to determine the resulting manufacturing errors and then to optimize the machining parameters to minimize them.

The proposed project will develop a system that combines ambient environmental sensors with sleep detection methods to measure sleep quality and allow the user to improve their focus during activities of their daily lives. Observing sleep patterns through all the stages of sleep to model the users body clock and quality of sleep. In addition, using environmental sensors to help users identify optimal sleeping conditions. This will be done by developing an algorithm that will estimate sleeping patterns with environmental sensors and produce a report to optimize their sleep.