Development of Biodegradable Soft Bait Fishing Lures from Natural Materials

There is an increase in reporting of angling activities linked to environmental pollution and exploitation. Soft plastic lures (SPLs) are a major pollution source arising from recreational angling. A small portion of SPLs currently commercially available are designed to be more environmentally friendly alternatives to PVC as they are biodegradable and are manufactured using natural […]

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Prototyping and Industrial Testing of Novel Non-Consumable Thermocouples/Sensor Holders in Molten Steel

Secondary metallurgy is the most value adding step in the steelmaking process. As more sophisticated steel grades are developed, better process control is required to adjust and monitor properties of molten steel in secondary metallurgy. Improved process control also serves to increase productivity and profitability of steel mills. In steelmaking, process control is achieved through […]

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Unsupervised Learning Based Approach for Insider Threat Analysis

Insider threat is one of the most damaging security threats to the safety of data, systems, and intellectual property of institutions. Typical threats caused by malicious insiders are trade secrets / intellectual property theft, disclosure of classified information, theft of personal information and system sabotage. Malicious actions of insider threats are performed by authorized personnel […]

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Ultrasound-driven “on-demand” pulsatile delivery of chemotherapeutics or chemotherapeutic delivery vehicles to tumours

In many drug delivery methods, chemotherapeutic drugs have a hard time solely attacking cancer cells in a tumour and instead also attack healthy cells in the body, leading to severe side effects. Pharmasonica has developed ultrasound-responsive microcapsules that can be injected in the stationary tumour. These microcapsules have small silica nanoparticles on their outer shell […]

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Simeio: Anomaly Detection for Building Automation System – Year two

Buildings are an important energy consumer and are equipped with hundreds of sensors and control systems. The analysis of such massive data can reveal insights for building owners to optimize the building infrastructure. Currently, usage of such data is limited to traditional control systems, energy commissioning, and maintenance on a regular basis. Real-time monitoring and […]

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Solving the integration problem for loyalty programs

Paying with a mobile phone within brick and mortar retailers is becoming increasingly popular, as it adds convenience as well as security to the payment process. Many retailers that use interac terminals with tap technology allow mobile phone payments in this way but are unable to integrate loyalty points into the mobile payment process. This […]

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Inspiring mass stakeholder groups to self-alter their normative patterns and thrive through self-interest and self-direction

This research project seeks to explore/determine if mass-stakeholder-groups can be purposefully, and directionally, influenced to self-alter their respective normative patterns of behavior, and to then further self-sustain their new normative behaviors through their self-interests and self-direction. In other words, if we increase their awareness of tools and supports available, could we encourage those who are […]

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An Integrated Software Suite for Rail Condition Analysis using Machine Learning

Rail transit and freight rail properties apply rail grinding to maintain rail condition and ensure satisfactory performance of rail infrastructure systems. The proposed research investigates and applies a variety of computationally intelligent algorithms to establish useful relationships between rail corrugation, noise generation, and vibration. These relationships will support more timely and effective rail grinding interventions. […]

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Improving Monitoring and Decision-making with Uncertain Sensor Data

Terrestrial contaminated sites – such as abandoned oilfields, chemical spill sites, or former industrial zones – are a major environmental problem in Canada and around the world. Environmental Material Science has created new environmental monitoring equipment that generates high-resolution spatially and temporally explicit data on environmental quality. The data must be visualized and then used […]

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Modelling the Non-Condensable Gas (NCG) in SAGD infill wells– Part 1

In the last decade optimization is expanded in many applications from food production to sophisticated applications such as engine fuel efficiency. In the proposed package, it is tried to apply optimization techniques along with physics based analytical and semi-analytical methodologies to create a compelling framework which can help thermal-process based oil industry to reduce their […]

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