There is a desperate need for a fast, non-contact, non-invasive, safe and accurate technique that can measure oxygen saturation, oxygen metabolic activity and multilayered histology-like information. Oxygen saturation and oxygen metabolic activity play a vital role in understanding several diseases including early tumour and vision loss diagnosis and treatment. Additionally, when the oncologic care team must to remove a tumour, it is essential that no malignant tissue left behind.
Industrial robotics (i.e. using robots for manufacturing processes) is one of the fastest growing industry sectors today. Traditionally, the process to program industrial robots has been laborious and time-consuming, with each robot having to be taken off-line for setup. Offline programming allows the robot users to program, simulate and generate code for multiple robots at the same time without disrupting the manufacturing process.
People living with a disease or injury that affects their brain face daily challenges related to impaired cognitive function including memory, reasoning, planning, and problem solving and motor function particularly during tasks that concurrently challenge cognitive and motor function, such as grocery shopping, navigating new or busy environments, or simply having a conversation while walking.
Pressure sensing during plastic injection molding is critical to the quality of manufactured consumer and commercial goods and need to be able to operate up to temperatures of 350°C and pressures up to 10,000 psi. In this case, pressure is measured using a membrane to infer displacement and depending on the conditions, the membrane may be directly exposed to the load. In the majority of cases, pressure transfer fluids such as mercury, are used to protect the sensor from the high temperature of the plastic melt and to facilitate remote sensing.
Atomic Force Microscopy (AFM) is one of the most widely used imaging tools by the researchers and industries to view and characterize tiny objects. This tool uses a very tiny and sharp probe to scan or feel the surface of the specimens and then it produces a topography image of the scanned surfaces. Since the probe is in a direct contact with these surfaces it wears off and becomes dull frequently.
Success in track cycling requires high athlete power and low aerodynamic losses. The latter is primarily dominated by rider position, and athletes and trainers will spend countless hours seeking any slight reduction. This is largely accomplished via trial and error either on the track or in an expensive wind tunnel. This project aims to help Canadian Olympic athletes improve their aerodynamic positioning using computational fluid mechanics. A rider is scanned into a computer model, which can then be rigorously tested in a variety of configurations.
Using mathematical models we draw verifiable conclusions from a rental-fleet dataset. These conclusions help rental-fleet operators increase revenue, decrease cost, or improve other aspects of their business. We not only identify what models to build, but also implement them using rental-fleet data. Some example questions that we help rental-fleet operations answer are: 1) what warranties should they offer to their customers or purchase for their equipment? 2) what actions should the rental-fleet operator take to improve its performance in self-identified areas?
Today's technological advancements are changing job requirements and skills expectations at a rapid rate. Businesses are consistently striving to investigate these trends and prepare for upcoming "disruptions." In terms of job automation, there are many barriers that people experience when trying to access learning platforms such as online learning tools and micro learning sessions, as the majority of these platforms are aimed at individuals who already have a post-secondary education, and other credentials.
The needs for up-to-date maps are also growing fast. However, map production still heavily relies on manual annotation of geo-spatial images, i.e., aerial and satellite images, which is expensive and time consuming. This project aims to improve the mapping efficiency from geo-spatial images by over 10 times. The core technologies to be developed are semantic segmentation of geo-spatial images and shape modeling of segmentation results to generate object geometries. Accurate geometric boundaries of objects required by maps are difficult to extract using existing methods.
Mechanical failure is a significant issue in the aerospace industry. High material and manufacturing costs make the component repair an attractive option, avoiding the need to scrap parts when defects are detected. Low Energy Welding (LEW) is a micro-welding process that offers several advantages in repairing sensitive high-cost components. Extensive work has been carried out with the manual process. However, the process is relatively slow and the manual process is difficult to maintain constant quality.