The main goal of this project is to develop a general set of computational solutions that could be used to prevent and manage emergency situations in transportation and water management networks by developing a monitoring and predictive model. This monitoring and predictive model will be based on topological data analysis (TDA) in a fashion similar to the model used in systems biology but here applied to Big Data provided by transportation, communication and water management systems.
Wetlands are habitats for many fishes, aquatic invertebrates, waterfowl, and other wildlife. Wetlands are also important for peoples daily lives. They can renovate freshwater, store flood, and provide fishery resources. However, wetlands are being destroyed and polluted at alarming rates worldwide. This research tries to understand the current wetlands extent and states in mid-Alberta, Canada. We use an emergent Unmanned Aerial System (UAS) and cutting-edge computer techniques to map wetland vegetation species and communities.
Data analysis and interpretation is a critical step in metabolomics. In metabolomics studies, large amounts of data must be evaluated by appropriate analytical tools in order to transform data into knowledge. Chenomx Inc. is a company that provides metabolomics research software and services. Its flagship software product Chenomx NMR Suite is an integrated set of tools for identifying and quantifying metabolites in Nuclear magnetic resonance (NMR) spectra.
This research project is focused on char, a carbon compound which is similar to activated carbon found in water filters such as Brita. This char is produced as a by-product of a municipal waste treatment processes. The char currently produced has high levels of naphthalene, the volatile organic compound used as the principal ingredient in mothballs. Naphthalene is slow to break down, and thus we want to limit its leaching into soils and waterways. One method to do this, is to combine it with cement to prevent water from contacting the material.
This project is designated to develop a next generation optimal two-dimensional energy management algorithm for a novel grid-connected thermal/electrical hybrid energy system. On-site implementation of the model and algorithm will be phased into a real community at an undisclosed location for performance evaluation.
The goal of the research undertaken as part of this project is to develop a system to measure soil properties in the field based on near infrared light reflectance. Using machine learning, the complex near infrared data can be turned into valuable soil analytical data. By supporting this research, Route 7 Inc. will obtain an innovative portable soil measurement system that will provide data on soil immediately in the field for much cheaper than currently used laboratory analytical testing. Using this system, Route 7 Inc.
This project aims to advance local/regional food systems in Alberta, as part of a 5-year SSHRC Partnership titled Food: Locally Embedded, Globally Engaged (FLEdGE). Local food systems generate opportunities to capture economic value (e.g., income and employment) within local communities, and can also result in indirect economic, social and environmental benefits. However, current resources within Alberta are fragmented and insufficient to meet increasing demand.
This project aims to provide much needed evidence to service providers and program managers working in the field of early childhood development (ECD). Early childhood programs are required to provide evidence of tangible outcomes to validate the impacts of their programs. Organizations, though, do not always have the knowledge, resources, or capacity to support such processes and the intent of gathering such evidence is interpreted differently depending on the individual sector.
The way banks account for potential losses are changing, and financial institutions are proactively adapting existing methodologies and developing new methodologies to remain compliant with regulation. The key ingredient of the myriad of evaluations of banks activities that are required for compliance is risk assessments. The purpose of this research project is to review the best practice risk models and adapt them to the financial profile of the business partner, and to the economic reality in which it operates.