Enviroshake Inc. markets a very successful product: composite roof shakes. These shakes have the appearance of cedar but outperform cedar roof shakes in lifetime. The current composite roof shake is primarily composed of a mixture of commercial plastics blended with wood fillers. Enviroshake Inc. would like to redefine the binding agent to a lower priced material whilst maintaining or improving upon the performance of the shakes.
Recently, a new whole-body PET/MRI scanner was developed and installed at St. Joseph’s Healthcare in London, Ontario and remains the only installation in Canada. Two major challenges concerning PET imaging include the need for correcting for loss of photons, called attenuation, due to interactions with patient tissues and the impact of respiratory induced organ/tumour motion during scanning. Corrections for attenuation are currently performed using X-ray CT.
The goal of the current proposal is to use Classical Test Theory and polytomous Item Response Theory models in order to revise a personality-based assessment and create a computer adaptive test of personality for the partner organization and to make recommendations for future personality researchers. The intern will plan and conduct a validation study using 1200 subjects.
This project will build on the work previously completed in the Mitacs project done by Dr. Michael Bauer, Omid Mola and Cyborg Trading Systems (CTS) – Integration of an Autonomous Trading Platform. The previous project formed the foundation of developing an autonomic system in an algorithmic trading application. The initial project was successful in determining that an autonomic system could be implemented by utilizing CTS’s proprietary framework.
For Cyborg Trading Systems (CTS) – a financial technology services company that serves an international network of banks, brokers and professional traders – keeping ahead of competition is absolutely essential. Battling huge enterprises like Thomson Reuters, Bloomberg and Goldman Sachs would seem an almost impossible task for a Canadian SME. With the cost of infrastructure, technology and global employees rising by the second, Lukez is always looking for any and all opportunities to innovate.
Accelerated Systems is a leader in the design and implementation of control systems for electric vehicles; especially vehicles driven by permanent-magnet brushless DC (BLDC) motors. One of the key technological challenges in the use of BLDC motors is that traditional control, especially at low speeds, requires external sensors to determine the rotor position. These external sensors then become an added cost and maintenance challenge. In this project, we will investigate novel control strategies that infer the rotor position from measurements of motor voltages and currents only. A succes
Data analysis plays an important role in healthcare as it enables service providers to discover hidden knowledge in the data, allowing them make more informed decisions about patients’ health. The continuing increase in the amount of data and lack of skilled people, however, has made data analysis very challenging. This project aims at developing web-based analytics and visualization tools to help researchers uncover new knowledge within the data much faster through automated analysis.
Ultraviolet (UV) photoreactors for water treatment comprise UV lamps encased in quartz sleeves, immersed in the water to be treated. Over time, these quartz sleeves become fouled with materials from the water, reducing the amount of UV available for treatment. This phenomenon requires that the systems be over-sized and often include costly automatic cleaning systems to restore system performance. This proposed project will study the molecular processes that result in fouling on the quartz surface, and investigate the effectiveness of anti-fouling coatings.
This proposed research aims at developing a fully automated computerized system for multiple spinal disease diagnosis. It improves the efficiency of the current clinically workflow. The development of the research is based on the state-of-the-art computer vision and image processing techniques. To the best of our knowledge, our group is the first group focusing on this direction. Once success, it will not only improve the clinician’s accuracy, inter and intraobservability, but also promote the technical advancement in the computer vision and image processing.
The aim of the internship is to conduct airflow velocity and turbulence measurements within a novel, compact aircraft engine compressor stage, using a non-intrusive technique, and then compare the results with those obtained from numerical (computational fluid dynamics, CFD) models, thereby developing an understanding as to how the different models deal with turbulence and with the strong curvature of the flow present in such compressor stages.