Pipelines are a common means to transport oil, gas, and other petroleum products used by citizens in everyday life. These pipelines sometimes traverse slopes, where soil movement caused by erosion or excessive precipitation can lead to pipeline damage which may result in release of product to the environment. The results of this study will allow pipeline operators to better assess the potential for this damage to occur to ensure that the pipe can be repaired or the soil movement prevented before any safety concern arises.
Design of loadbearing, out-of-plane (OOP), tall masonry walls tends to have stringent limits related to their buckling stability and the scarcity of research on their structural reliability. This currently puts the masonry industry at a disadvantage as a construction alternative compared to other structural options. The proposed research investigates the strength of tall masonry walls against lateral loads, considering the influence of base rigidity. Current design practice does not recognize the influence of actual support conditions in estimating the load capacity of slender masonry walls.
The Projects objective is to continue the upgrading work executed in the previous MITACS Converge project with a larger focus on more challenging biocrude oils such as heavy fractions, high viscosity, high nitrogen, high ash oils that are produced from feedstocks such as feed gate residues in the form of manures, biosludges and organics from municipal waste. The performance objective remains to optimize and scale up the upgrading of Hydrofaction Oil to blendstocks for transport fuels.
The new tool uses a deep-learning computer vision system and motion-classification algorithms to capture events such as falls in real time, alert caregivers and give health-care professionals the information they need for immediate triage.
The system—developed in part by the Multimedia Research Centre led by Irene Cheng in the Department of Computing Science—transfers real-time video to an autonomous computer vision lockbox. If an event is detected, the system alerts a specified caregiver and provides a redacted video of the event.
Sound localization involves the triangulation of the location of a sound source by recording it on multiple microphones. One potential application of sound localization technology is to monitor the movements of vocalizing animals passively, without the need for a human observer. This project aims to further develop and test sound localization technology, then to apply the technology to monitor the movements and behaviours of birds in Alberta’s oilsands region in the vicinity of inactive well pads in burned and unburned areas.
Wetlands provide important ecosystem services to human communities, such as groundwater recharge, storing floodwater, and supplying fishery resources. In Alberta, wetlands cover ~21% of the province, forming one of the Canadas largest wetlands reserves; however, many of these wetlands have been impacted or lost through human activities. Over the past 30 years, there have been efforts made by the government and partner agencies to restore wetlands, but little is known about the rate of recovery and the state of these restored wetlands, relative to a natural reference condition..
The medical marijuana industry has attracted significant attention recently due to its impending legalization in Canada in the coming year. Along with legalization comes the need for accurate and dependable characterization of the components in the product that is to be consumed by the end user. Keystone Labs is a certified cannabis analysis lab with a growing client base. Hence, they are looking to increase their market share by developing a home testing kit that can be used by growers to monitor the plant's chemical composition as it matures.
The research objectives are to better understand the limitations of a new particle sizing system in terms of accuracy on particle size, of accuracy on size distribution, of accuracy on particle concentration and finally of size dynamic range. During the research project, the sources of the limitations will be identified and improvements to the technology will be proposed. State-of-the-art equipment for the generation of particles with known sizes and concentrations available at the University of Alberta will be used for the characterization of the technology.
Mental health illness cost over $50 billion in the Canadian economy annually, and is prevalent at workplace. The cost and prevalence of menial health illness can be greatly mitigated with early detection and intervention. EarlyDetect is a program developed by Chokka Center for Integrative Health for convenient, accurate and reliable self-assessment of mental illness, and has been validated in a pen-and-paper form.