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.
Pipelines are a common means to transport oil, gas, and other petroleum products used by citizens in everyday life. Permanent inward deformations, called dents, can develop along a pipeline, most of which are not a safety concern. The objective of the project is to develop the processes used to accurately assess the safety of different types of dents. Maintaining pipeline integrity is of utmost importance to protect the environment and the community.
Polymer electrolyte fuel cells (PEFCs) running on hydrogen are a preferred choice for on-board electricity generation in automobiles. A major challenge associated with this technology is its high cost due to the use of platinum as electrocatalyst. Implementation of inkjet printing as a fabrication tool has been investigated by the applicant and the academic supervisor to fabricate and test PEFC electrodes that are 5 times thinner and contain 15 times lower platinum than conventional electrodes resulting in an improved catalyst utilization.