The goal of this project is to develop management targets for grassland songbirds on native rangelands in western Saskatchewan. This research will identify grassland conditions required by priority species and examine how these differ between species and throughout prairie regions with very different soil and moisture conditions.
A laser-optics vehicle profiling system will be designed and developed in this project. The image of a laser line projected onto the surface of a vehicle from a vantage point will be used to make metric measurements on the vehicle and to develop a 3D model of it.
It is conjectured that this setup would work superior to the existing time-of-flight laser profilers in terms of accuracy, resolution, and speed of operation.
Multiple laser-optics scanners located at optimal locations in an inspection station can provide a panoramic 3D model of the vehicle and also provide measurements.
This project is to help SaskEnergy characterize the pollutant transport behaviors under the remediation process of SVE through advanced modelling system. Such a modelling system employs a series of stochastic analysis methods to quantify the random features in the subsurface at Cantuar site such as the porosity, hydraulic conductivity and so on. Then, relationships (or functions) between SVE control variables and pollutant concentrations are generated through advance statistical methods.
The boreal forest is an essential breeding ground for hundreds of North Americas bird species, yet it is poorly studied. Many of these birds are rapidly declining, including a group of birds called the aerial insectivores. These birds are not necessarily related to each other, but instead they share a behaviour: they all catch insects in the air. No one knows just why they are declining, but they are disappearing faster than any other bird group in North America. Their shared feeding behaviour suggests that it is related to changes in insect populations.
The provisioning of cellular networks and data services has become increasingly complex due to ever increasing demand for greater and faster services. Our research will contribute to a fundamental knowledge base into the operation of heterogeneous cellular networks using the built-up physical infrastructure (the buildings) of the University of Regina. A number of micro cellular sites have been installed on campus and their operation has been investigated within the larger macro cellular site which services the university and surrounding area.
This research project with the industry partner Saskatchewan Research Council focuses on the displacement front instability in heavy oil recovery processes such as water flooding, solvent injection and polymer flooding. In those processes, the less viscous displacing fluid usually moves faster than the more viscous displaced heavy oil. This results in an instability that manifests itself in the form of finger-shaped intrusions, and which is viscous fingering (VF). The VF phenomenon tends to greatly reduce sweep efficiency, leaving a large amount of untouched heavy oil underground.
But now, a partnership between a team of researchers from the University of Regina’s Department of Computer Science and ISM Canada is creating new tools using “big data” that can help to tackle crime on the streets using information from the virtual world.
The proposed research is a multi-disciplinary project, which aims at improving existing theories and developing innovative technologies to unlock Canadas oil and gas resources in a more sustainable way. Theoretical models derived from physics and mathematics are to be examined with real data, and new approaches will be developed to face the technical challenges. Mentorship and realistic field feedbacks from the industry are of great importance to the interns research work.
offshore oil well platforms are supported by huge guy wires. Ocean waves and motion in the control stations would cause continuous change in tension and slack in the wires. This can cause failure in internal fibers in the wire, which would be invisible.