Parallel Computing Solutions for Modelling Large Volume Geoelectrical Data Utilizing Unstructured Meshes

This project will develop computer modelling methods for geoelectrical data that are collected in geophysical surveys. Such data can be used to infer information about electrical properties in the Earth’s subsurface, and subsequently provide information about mineralization, groundwater pollution pathways, water intrusion through flood barriers, and various other important processes. It is ever more common […]

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Parallel multibody solver coupling algorithms

This project concerns the efficient simulation of constrained-multi body systems with applications in training simulations. For instance, a crane on a construction site can be modeled and simulated as a collection of rigid bodies connected by rotational joints. Simulation of contact and friction is similar but a challenge because the force is bounded (i.e., forces […]

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A Predictive Cluster-based Machine Learning Pricing Model

Dynamic pricing models create price by assessing total cost, demand, and timing to customize the price to the moment. The models enable both buyers and sellers to settle a price that is very custom to their specific needs. Bison Transport Inc. has a network model that monitors profit and a pricing engine that monitors margin. […]

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4G Cellular Trespasser Detection System for Farms

There is a strong demand for effective means to detect and record trespass activities onto farm properties, which cost the agriculture industry many hundreds of millions of dollars each year. The goal of the project is to design and develop a trespasser detection system based on the presence of a human being carrying a cell […]

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Interactive Visual Analysis of Calcium Imaging Data

With the advances of microscopy techniques, scientists can monitor the neurons in large brain areas of living animals. But at the same time, it creates significant challenges for scientists to make sense of the generated data due to its scale and complexity. This calls for new componential methods and systems for augmenting the current workflows […]

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Optimizing High Performance Distributed Computing Framework in Heterogeneous Environment System at Lakehead University

Universities in Canada and around the world are adopting the DCP (Distributed Compute Protocol) as a method of obtaining free, abundant compute resources for research and innovation. In doing so, IT departments are deploying DCP workers on fleets of desktop computers in departments, libraries and administration offices on campuses. All of these computers, once connected […]

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AI Shading – An energy efficient Smart Blind technology

Increased energy consumption across the world for heating and cooling indoor living spaces has been a major contributor to global greenhouse gas production. As per 2015 statistics, buildings account for 76% of global electricity consumption and approx. 35% of that energy consumption is for air conditioning, heating, and ventilation. To combat climate change it is […]

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Decision making with ontologies and measures of diagnosticity

Mineral exploration and natural disaster risk reduction involve reasoning with uncertainty about complex descriptions of parts of the Earth. Such complex reasoning is traditionally carried out by human experts who, through years of training and field experience, develop specific knowledge and are able to take the right decision at the right time. This project will […]

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An Improved Approach to Watershed Management and Adaptive Decision Making in the Great Lakes

With collaboration between the Council of the Great Lakes Region, Pollution Probe and Lambton College, the proposed project is focused on continuing the development of an artificial intelligence visualization tool to enable users to select growth constraints and visualize resulting changes to watershed health, predict how watersheds will evolve over time and prescribe actions to […]

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Anomaly Detection in Highly Noisy Signals from Electrical Rotating Machines

Equipment failure is the primary source of unplanned downtime in industries working with rotating electrical machines. Fault detection at the early stages is an essential solution for reducing this downtime. Condition monitoring of machinery is the process of capturing and monitoring parameters such as vibrations to identify a developing fault. This project uses the data […]

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Pattern Recognition and Its Application in Customers’ Family Composition Detection

Rogers Communications, a diversified communications and media company, wanted to investigate the kinds of strategies that it should employ to attract new customers and meet customer demands thus maintaining a profitable market share. To develop these strategies, the client needed new efficient tools that could extract useful patterns, which was representative of actual customer behaviour, […]

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