Investigating Crop and Soil Properties using Remote Sensing Big Data for Supporting Precision Agriculture

The Canadian agricultural sector is facing a wide range of challenges that include depleting natural resources (e.g., water), environmental pollution (e.g., fertilizers), and climate change. Precision agriculture is a method of farming that uses technologies to monitor soil and crop status and support timely and variable-rate farming practices. It is thus a promising approach to […]

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ESG Events Clustering using Natural Language Processing

The integration of Environmental, Social and Governance (ESG) factors into investment decisions has accelerated in the last few years. In fact, Bank of America estimates a $20 trillion of asset growth in ESG funds over the next two decades. Evaluating ESG related events of a company is an important task to assess company ESG risk. […]

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Effective Algorithms in Polyhedral Geometry and Symbolic Analysis

The proposed research projects will expand the scope of computer algebra systems (CAS) into two areas where much remains to be done: symbolic analysis and polyhedral geometry. One of the proposed research projects will also strengthen CAS in one of their well-established territory, namely symbolic integration. These themes will support applications such as the analysis, […]

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Application of a Surface Fouling Sensor for Predictive Maintenance of a Brazed Plate Heat Exchanger System

Heat exchangers, used in building heating, ventilation and air conditioning (HVAC) systems to transfer heat from hot to cold fluids, are designed to operate under ideal conditions. However, in practice operating conditions may vary with ambient temperature or humidity. HVAC system efficiency can be improved significantly if fluid flow rates are adjusted in response to […]

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Financial Modeling based on Sentiment Analysis and Natural Language Processing

Financial variables modelling plays an essential role in computational finance and risk management. Recent research has shown that public sentiment and other information expressed in the natural text such as news articles are important factors correlated with financial variables. The main purpose of this project is to better model financial variables such as market indices […]

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Management practices for growing a forest in a post-mining industrial landscape

Coal-fired power companies in Alberta need to conduct afforestation of thousands of hectares of previously mined lands, as the province transitions from coal-fired to gas-fired power plants. Identification of management practices that address soil building, erosion control and manage ruderal vegetation concurrently is critical to facilitate reclamation efforts. This study will implement an integrated set […]

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Designing of a rehabilitation task for virtual reality combined to a robotic training to improve arm motor recovery in chronic stroke survivors

Individuals that survive a stroke are left with long-term movement impairment at the affected arm that negatively impact their performance in daily activities. Robotic arm devices and virtual reality can help improve recovery following a stroke, and the optimal VR game needs to be challenging, adaptable and reflecting as closely as possible reality to support […]

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Pre-concentration of Mount Polley copper ore

A previous feasibility study performed at UBC on the Mount Polly samples showed that dense media separation gave copper recoveries of 95.8% at a specific gravity of 2.9. The purpose of this research project is to confirm the applicability of dense media separation for Mount Polley ore pre-concentration. A lab test will be performed as […]

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Development of an intelligent decision model to support the occupational health and safety in the manufacturing industry

CONFORMiT seeks to prevent serious injuries and fatalities and high potential events by providing administrative control solutions that can enable businesses to manage critical risks within their operations. To accomplish its main mission, the firm uses its consulting experience in the design of safety programs according to standards; the design and provision of training; identification […]

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A Toolkit for Affordability Driven Home Energy Efficiency Retrofits Through Local Improvement Charge Programs

Climate change will cause increasing temperature fluctuations and longer heat waves. This will make home cooling essential, but adding and using cooling can be too expensive for low-income homeowners, including seniors. Incentive programs exist to help people make energy-efficient retrofits to their homes, but they can increase housing costs. This does not work for many […]

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Colorimetric test strips for oil/fuel/ethanol mixtures

There is a need for customers to use a simple test method to determine if the fuel blends they are using are of the proper composition for fuel efficiency, environment- friendliness and engine cylinder compatibility. But it is difficult to determine the composition of oil/fuel/ethanol mixtures without detailed and expensive chemical analysis. It is because […]

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