The proposed research focuses on optimizing the partner organization’s innovative passive solar greenhouses. We propose a distributed learning and automation system (DLAS) that collects sensing data from multiple greenhouses. The DLS learns an optimal predictive model by aggregating the local models from multiple edge devices. The DLAS keeps improving the model as more sensing data is available. The predictive model will be used for automating the control of multiple greenhouses.
Aurora Heat, Inc. is a seasonal social enterprise that earns the bulk of its revenue during the Fall and Winter months. In order to curb seasonal influxes of cash flow, the organization has prototyped and informally tested a new to market sensory intervention product called the NEZU™. The NEZU™ is an Indigenous-designed sensory intervention made from sheared beaver fur that soothes symptoms of stress and anxiety. Wholly innovative, the design solves a market gap as natural and biodegradable sensory interventions rooted in traditional knowledge and materials currently do not exist.
Almost all commercially processed beef carcasses are graded based on their quality and yield. However, grading information is provided to the producers after slaughtering of animals, then feedlot operations do not take full advantage of this information to navigate their cattle finishing strategy. This project will develop a new non-invasive procedure using hand-held ultrasound tools and machine learning models to estimate carcass traits on-farm in live animals. The carcass traits, including marbling score and yield grade, will be predicted real-time without the need for manuall assessment.
Precision agriculture is one of the top revolutions in agriculture, which is the leading industry in food production for the entire human population. Fertilizers have been the key to boosting crop production and a major source of green gas emissions at the same time. The optimal and sustainable application of fertilizers is a significant challenge in precision agriculture that can save the farming cost for growers and reduce carbon emissions.
The global pandemic has made it clear that there is an urgent need for high-quality mental health services for children and youth. Right now, quality is measured in terms of the number of visits to clinics, emergency departments, hospitalizations, and the costs associated with those services. The voices of children, youth, and their families are largely absent from evaluations of mental health services. This project will engage youth and their caregivers to select a set of patient-reported outcome measures that will be used to evaluate the quality of youth mental health services in Alberta.
ConocoPhillips Canada (CPC) is evaluating transformational technologies to reduce GHGs by up to 90% allowing for efficient Alberta resource development on a per barrel and supply cost basis in a carbon-constrained, globally competitive market. Warm applied solvent process refers to pre-heated solvents that are injected/co-injected with steam as an elimination/evolution of the current Steam Assisted Gravity Drainage (SAGD) process for bitumen mobilization which provides potential for absolute emission reductions.
Carbon capture and sequestration (CCS) is a practical solution for reducing the overall green house gas (GHG) emission and environmental footprint of the civilization. The CoFlow simulation software developed by CMG is one of the only tools available for predicting the performance of the CCS applications. Generally, there are technical challenges and prediction deficiencies associated with processes involving injection of high-pressure CO2.
This project seeks to answer the overarching research question, how can the use of simulation-based learning (SBL) within a community-based setting improve access to training and the development of clinical practice competencies in practitioners (e.g. social work/psychology students/professionals). The project will expand access to experiential learning within a community-based setting using multiple modalities within the area of SBL (live, in-person, virtual, and gaming simulations) to increase access to training and upskilling opportunities for both student and professionals.
Vacuum residue (VR) is the heaviest part of crude oil accounting for a large proportion in modern refineries, while its utilization routes are generally of low efficiency and high energy intensity, and thus economically and environmentally unfavorable. Similarly, bitumen recovered from Steam-assisted gravity drainage (SAGD) process experiences high viscosity and density as well as high content of impurities and thus diluent is often needed for its transportation with additional cost and environmental concerns.
In this mixed-methods study, we aim to identify specific experiences and institutional barriers that prevent recent immigrants from engaging with and participating in municipal elections in the city of Calgary, Alberta. Using a systematic literature review and data from focus groups and in-depth interviews in Calgary, we will first develop a list of the concrete local factors that reduce interest and engagement in municipal elections among new Canadians.