Computation of Second-Order Wave Forces on Offshore Structures

The objective of the intern’s research is to develop a computer program based on a panel-free method to predict the second-order wave loads on floating offshore structures which are critical for coupled mooring analysis. Integration of the mooring analysis computer program with a second-order wave loading analysis tool will allow for the coupled mooring line […]

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Fusing Structural, Functional and Diffusion Tensor MR Image for Neurological Disorders

Structural Magnetic Resonance Imaging (sMRI) provides high-quality images of soft tissue through the use external magnetic fields and electromagnetic radio-frequency pulses to excite protons abundant in the human body. Diffusion Tensor MRI (dtMRI) is a unique, non-invasive imaging technique capable of measuring the anisotropic diffusion of water molecules in biological tissues. The resulting image reflects […]

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Application of an Age Structured Model to the Northumberland Strait

AMEC Earth & Environmental is a company that provides assessments and potential solutions for environmental issues. The intern will assist AMEC by creating mathematical models for several environmental projects including the Northumberland Strait ecosystem. A mathematical model will provide AMEC with a tool for assessment of proposed indicators of ecosystem health and forecasting that can […]

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Calculation of the True Anisotrophic Distance Between Points

Geostatistics uses statistical modelling to assess the uncertainty inherent in natural resource problems. There is always a sparsity of data because of the cost of getting samples. Statistical models have emerged as the preferred method of quantifying the uncertainly in this situation. These models allow mining, petroleum and environmental companies to make better decisions when […]

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Comparison of Different Middle Ear Prostheses in Conducting Mechanical Vibrations for Hearing Reconstruction

Currently, surgeons often reconstruct the middle ear to restore hearing with artificial prostheses that reconnect the middle ear bones that have been destroyed. This process is unpredictable and these prostheses are available in hundreds of different forms from many companies. The supervisor of this project runs one of the foremost laboratories in the world in […]

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Feature Set Generation from Customer Transaction Data for Customer Classification

Verafin is an information technology company that specializes in customer intelligence solutions for small and midsize financial institutions. There is a high demand for automated fraud and money laundering detection and prevention systems since such activities cost millions to the financial industry every year. A key problem with detection techniques is the accurate and descriptive […]

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Form & Language for the Astronomical Study of Hydrogen

This project undertakes the visualization of astronomical data in 3D enabling us to study phenomena such as expanding gas shells and rotating galaxies. We will develop a 3D mathematical model of astronomical observational data, apply this model to the data and display the data utilizing the technologies available through the Virtual Reality Centre. It is […]

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High-resolution Light Detection and Ranging (LiDAR) and its Application to Salt Marsh Restoration

Salt marshes are recognized as significant feeding grounds and refuges for wildlife and for their importance in flood mitigation, carbon sequestration and as filters for removing pollutants and suspended sediments. With growing interest in, and efforts towards, dyke removal and salt marsh restoration, there is a need for science-based management decisions to ensure appropriate site-specific […]

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Improving Growth and Yield Predictions Using Combined Tree Based Models

Growth and yield predictions are the basis of all forest management activities. The intern will conduct advanced research with the intention of improving growth and yield predictions by combining traditional models with a process-based stand development model. Typically, process-based models are more complicated and require special data as input and are difficult to use. Traditional […]

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Improved Models of Electric Machines for Real-Time Digital Simulations

Real-time digital simulators are valuable tools for non-destructively studying the transient behavior of electric machinery under stressed conditions. RTDS Technologies is a world-leader in the manufacturing of such simulators and is continually striving to improve its repertoire of available models of electrical equipment. The intern’s project will use special modeling methods to develop a new, […]

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Online Learning for Pinpoint Selling

This internship applies data mining and machine learning techniques to increase conversion rates in the interactive online marketing industry by providing personalized recommendation to specific customer segments. It will consist of two parts. The first part is to classify customers according to what message would resonate. The intern will apply some techniques to improve the […]

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