Evaluating the impacts of landscape development on carnivore activity patterns and species interactions

Understanding the impacts of human-driven disturbance on carnivore communities is an important step for prioritizing conservation decisions and managing land-use policies. Disturbances such as landscape development may influence how species structure their activity periods over the 24-hour cycle and potentially compromise the capacity for competitors to avoid costly encounters with each other. Few studies to […]

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Aboveground Storage Tank (AST) tightness testing using statistical approach

The industry partner, Cantest is establishing a new leak detection procedure for analyzing data sources in aboveground storage tanks and statistical learning models to monitor AST shell dynamics and product activity over time. This is an important problem as identifying leak detection is usually associated with various environmental data and records collected from sensitive sensors […]

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Development of computationally efficient models for modular multilevel converters with integrated battery energy storage systems

The research project aims to develop new computer models for accurate representation of battery energy storage systems that are used in modern power systems. In particular state-of-the-art modular multi-level converters with integrated dc-dc converters will be considered. The models to be developed will provide high levels of accuracy and feature low computational intensity so that […]

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Development of a Reliability-Centered Maintenance Battery Program

Battery energy storage systems are used in electric utilities for a variety of applications including back up power for critical equipment. Manitoba Hydro is evaluating two battery chemistries for use in its substations, namely Li-ion and sodium-nickel chemistries. Along with assessment of technical merits of each battery type to determine which chemistry best suits the […]

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A Framework for Assessing Regulations and Initiatives with Goals and Watson Analytics

Regulations are introduced to ensure the well-being, safety, and other societal needs of citizens and organizations. Yet, regulators often have difficulties assessing the performance of their regulations, and whether regulatory initiatives actually improve compliance. This project’s main objective is to investigate the suitability of a framework combining a standardized goal modeling notation with an existing […]

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Effects of a probiotic product from Lallemand Inc. on growth performance and intestinal morphology of chickens raised under suboptimal conditions

According to the Agriculture and Agri-Food Canada, Canada produced 1.2 billion kilograms of chicken with chicken products worth $2.5 billion. Domestic consumption of chicken in 2016 was 32.5 kilograms per person. Canada exported over 5.3 million chicks worth over $13.4 million, mainly to the United States. That same year, 134.1 million kilograms of chicken meat […]

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Enabling and Accelerating Fragment-based Drug Discovery – An Excellent Opportunity To Combine Innovation and Education

One of the most promising strategies for discovering our future medications is via fragment-based lead discovery (FBLD). FBLD involves the screening of libraries of small molecules to first identify weak binders to essential target proteins of diseases. These binders are then synthetically matured to larger, more potent inhibitors/leads via medicinal chemistry design efforts. However, there […]

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Automating Cloud Data Center Operation

Manual performance, configuration and fault management of Cloud Data Centers is vulnerable to human intervention and therefore subject to human errors. One way to circumvent this problem is to use automation of the Cloud Data Center operations based on advanced technologies which may include Machine Intelligence. As it is known in mobile industry applications/systems are […]

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Automating Cloud Data Center Operation – Year two

Manual performance, configuration and fault management of Cloud Data Centers is vulnerable to human intervention and therefore subject to human errors. One way to circumvent this problem is to use automation of the Cloud Data Center operations based on advanced technologies which may include Machine Intelligence. As it is known in mobile industry applications/systems are […]

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Evaluation and analysis of citizen science golden eagle migration data collected by the Rocky Mountain Eagle Research Foundation, Mount Lorette, Alberta 1993-2016

The goal of this project is to evaluate the data quality of the citizen science Golden Eagle count data collected by the Rocky Mountain Eagle Research Foundation and to determine the population trend over 25 years. Since 1993 they have collected data, consisting of daily raptor migration counts in the Fall and Spring seasons. It […]

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Mastering Light

The manipulation of light has been a key driving factor in human progress since the beginning of our species. Each industrial advance in the world has successively become more and more dependent on the manipulation of light and concomitant advances in our understanding of related phenomena: advances and discoveries in electricity, electromagnetic technology, wireless communications, […]

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