Production of bitumen in Canada has increased considerably in the last decade. Due to its heavy nature, bitumen needs upgrading in order to make it marketable. The first approach adopted was to fully upgrade it to high quality synthetic crude oil, but due to the enormous capital and operating costs, it has been proven that it was not the most economically suitable approach. Partial upgrading, where bitumen is upgraded into a transportable oil that meets pipeline specifications, has the potential to maximize the benefits of bitumen commercialization.
How can cities positively make use of their heritage in ways which support future their prosperity and quality of life? This is the question at the heart of a research collaboration between the City-Region Studies Centre (CRSC), at the University of Alberta, and the Edmonton Heritage Council (EHC). Edmonton is experiencing a period of rapid growth and development, transforming the city into a modern metropolitan centre.
Machine learning is the concept where a computer can be trained to recognize data and predict future outcomes based on the trends that exist in the data. This method of analysis has not been used on engine data, specifically in-line oil. Oil is an engines lifeblood and a lot of data can be collected and engine health can be predicted based on these measurements. This project aims to deploy machine learning concepts in the area of engine failure prediction. A special sensor equipped with the machine learning algorithm will be able to report all vital signs of an engine in a matter of minutes.
More than any other life stage, the hatching of eggs is the most important factor in the maintenance of dabbling duck populations. Rates of nest success are suppressed by predators like foxes, coyotes, skunks, and crows. Populations of these predators can be artificially high due to habitat alterations resulting from human development. The Delta Waterfowl Foundation proposes lethal trapping to reduce nest predation in Alberta parkland habitats. However, predator reduction programs can direct limited resources away from habitat-based alternatives, and are controversial.
Forest companies would like to reduce the number of birds, eggs, and nests that are negatively affected by logging. The problem is that we dont have detailed knowledge of where every bird lives, so its difficult to make educated choices about where and how much forest to harvest. My research will provide a solution to this problem. I will relate bird data to forest characteristics like age and height to understand which forest types have the most birds, and to map out where birds are most likely to live.
Aircraft piston engines are widely used for aviation in North America and still use leaded fuel. 100 octane low-lead (100LL) aviation gasoline (avgas) is the common fuel used in aviation that contains lead in the form of Tetra-ethyl Lead (TEL). The TEL additive is mainly used to modulate the aviation gasoline octane levels to avoid knock and engine failure. This lead additive is harmful for the environment and it has been phased out in the automotive industry in the 1970-1980s and completely phased out in 1993 in Canada and 1996 in the United States.
Working under the direction of University of Alberta Professor Stephanie Yanow and PhD student Catherine Mitran, Ina is looking at samples from pregnant women in several regions in South America who have been infected with a type of malaria parasite called Plasmodium vivax. She’s then exploring the cross-reaction of those samples to that of pregnant women who’ve been infected by a different malaria parasite, Plasmodium falciparum, to see if the first species can create antibodies that contribute to protection against the second species.
InteliRain Inc. has developed an effective sprinkler system producing excellent uniformity water distribution for regular or irregular areas but using 30% less water compared to most existing standard industry system. However, the performance of the InteliRain system deteriorates rapidly when it is tested in an open field with wind effect. In this project, the intern will develop a mathematical model and computational algorithm to simulate the InteliRain system for cases with wind effect.
This research would determine the costs of securing and restoring drained wetland areas on private lands in the Wintering Hills area of Alberta, Canada, through the use of an approach called a “reverse auction.” Collaborating with Ducks Unlimited Canada, the project would pay farmers to allow wetlands to be restored on their property. The payment levels would be determined by the landowners through the auction process. Understanding the costs of restoration is largely unknown, but is critical for the Government of Alberta as they implement the 2013 Alberta Wetland Policy.
Future cellular systems must accommodate increasing demand for very high throughput and low latency data services. Massive multiple-input multiple-output (MIMO) approach involving base stations equipped with much larger numbers of antennas than the numbers of users served promises to significantly increase network capacity, while nonorthogonal multi-carrier transmission is expected to dramatically reduce the latency.