Improvement of a Portable Assistive Device Concept for Hand Rehabilitation

As the number of patients with stroke and Parkinson’s Disease (PD) increases, it is essential to obtain treatment progress data efficiently for the home rehabilitation. For the therapy of hand disabilities, a system is required to collect data, process and control hand motions during rehabilitation. Current rehabilitation devices that are available in the market are […]

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Development of an embedded piezoelectric sensor for bearing fault detection

Rolling element bearings act as the heart of rotating machines. Any imperfection in their condition can lead to an abrupt failure which can be catastrophic. For more than two decades, implementing sensors for condition monitoring of bearings has been beneficial in preventing abrupt failure and fault detection. These sensors require a noise-free atmosphere to have […]

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Low Temperature Stabilization and Bulk Processing Techniques for the Production of Lower-Cost Asphaltene Based Short Carbon Fibres

NORAM Engineering and Constructors Ltd. (NORAM) has developed a bench-scale process capable of producing low strength fibres from Alberta oil sands asphaltenes (AOA). The objective of the proposed collaborative research between NORAM and UBC is to broaden the application space of AOA by improving the structural and functional properties of AOA-CF through polymer blend and […]

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Subsea Pipeline Risk-based Integrity Assessment

The first objective of this internship is testing and validation of recently customised RISKWISE software for subsea pipeline application using a case study. Second objective is to develop a user manual for the software for future reference. Testing and validation of the software would help provide reliability and confidence in the tool usage that will […]

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Distributed Fault-tolerant Drone Network Design

Unmanned Aerial Vehicles (UAV) or drones have numerous applications in different industries. However, drones have limitations such as short flight time, limited flight range, and navigational inaccuracy in regions with unreliable GPS signal. To mitigate these limitations, using a group of drones to cooperatively perform the mission is proposed. The resulting parallel operation increases the […]

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Construction Project and Processes Intelligence Across the Project Lifecycle

This project is a partnership between Concordia University and Aedo AI, to upgrade an existing construction project data repository into an intelligent platform for analyzing project performance and providing advanced analytics based on (i) correlations between projects’ different facets (including actors involved, the facility being built, and workflow processes being executed); and (ii) interactions among […]

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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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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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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 model retrieval system for efficient bolus shaping

Bolus covers patient’s skins to correct varying surface contours for desired dose distribution in cancer care. The existing method of bolus shaping is a manual process by cutting the bolus material into 2D pieces and wrapping the pieces on the targeted body area, which is inaccuracy and time-consuming. An accurate and efficient bolus shaping method […]

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