Dynamic Control of Robotic Arm

In the design of robotic mechanisms, dynamic balancing i.e. force and moment balancing is an important issue. The robotic mechanism’s accuracy and efficiency are affected because of the unbalance. Moreover, the forces and moments cause fatigue, noise and disturbance in its structural base. Previous research done by Prof. Chris Zhang include a force balancing method that is termed as adjusting kinematic parameters (AKP) for robotic mechanisms or real-time controllable (RTC) mechanisms. This research includes dynamic balancing method for planar mechanisms only i.e. two dimensional.

Methods for constrained scheduling optimization

This project involves researching and integrating constraints into existing route and schedule optimization software. The partner organization (Western Heritage) has developed software that calculates the shortest route and optimal daily schedule for home care workers visiting patients in their homes. These schedules must consider constraints for each worker and patient, such as: smoker, pet in the house, lifting requirements, gender requirements, etc. as well as constraints for multiple starting points for each worker.

Development of low-cost feeding strategies for group-housed gestating sows

Feed restriction in gestating sows is required to prevent excessive body weight gain and the associated negative consequences on lactation, locomotion, farrowing, and feed intake during lactation. Aggression and stereotypies associated with restricted feeding become a welfare and production concern when the sows are housed in groups.

Prioritizing decision-making for agriculture and conservation in North America’s prairies under climate change and land-use change

Wetland habitats are critically important to many animal and plant species, and they are in trouble. The North American prairies, for example, comprise some of the most productive wetland habitats in the world, but many areas of the prairies have lost up to 90% of their wetlands and more than 90% of their native grasslands due to farming practices and more recently, climate change. This project will build a decision-support framework to prescribe the conservation actions needed to sustain wetland biodiversity in the face of climate and land-use changes.

Sustainable Capacity Building in the North by the North

This unique research project, undertaken by Master of Northern Governance and Development (MNGD) students, contributes significantly to our understanding of the North. The research focuses on community-based responses to rapid economic, social, and environmental changes and the development of the local capacity to respond. The analysis is collaborative, involving key stakeholders at the community and multi-community levels, and is informed by their values and interests.

Applications of Neural Network Curve Fitting Methods for Least-squares Monte Carlo Simulations in Financial Risk Management

Monte Carlo simulation methods are commonly used as a risk management tool to estimate the risk exposure of financial asset portfolios. However, the traditional brute-force Monte Carlo (BFMC) method is often very timeconsuming, which makes it difficult to serve the risk management needs of modern insurance industry. An alternative approach, the least-squares Monte Carlo (LSMC) method, could substantially reduce the computation cost by fitting a proxy function of liabilities using simple nonlinear regression methods.

Building Scalable Business Transaction and Data Mining Systems For Insurance Workloads

Farmers of North America (FNA) and FNA Strategic Agriculture Institute (FNA STAG) are two Canadian organizations dedicated to maximizing farm profitability. They collect and analyze demographic, legal, marketing and relevant data about its producers and partnering commodity organizations to understand the farmer market need and create strategies for business operation functionality. With this project, the organizations will get two database systems, the market/consumer research and distributed database.

Minimum Velocity, Pressure-Balanced Flow Control in a Multi-Primary System

Modern air seeders in their simplest form involve an air supply system that receives granular product (seed and fertilizer) from a large holding tank, propels the product through several distribution lines, and delivers the product to the soil. Currently the conveying air runs faster than is usually required to reduce the risk of plugging. However, this results in wasted power in the air supply system, and also wasted inputs through either damage or misplacement.

Mitigation of concrete corrosion in potash mine and milling operations

The objective of this research will be to evaluate the ability of a rebar coating strategy to resist chloride induced corrosion and to test its efficacy in mitigating concrete corrosion in potash mill environments. This research project involves a collaboration between academics and the potash industry under the guidance of the International Mineral Innovation Institute (IMII). The academic research team will be able to supply the partner organizations with highly trained HQP with expertise in corrosion and materials science.

An Analysis of Flax Breeding Programs in Western Canada

Canada is the largest producer of flax in the world and the demand for flax is expected to increase significantly due to its proven health benefits. At the same time, the number of flax breeding programs in Western Canada has recently decreased from three programs to just one breeding program. The producer funded Saskatchewan Flax Development Commission (SaskFlax) is contemplating an expansion of flax breeding activity to address the deficit.