Investigation of Cascaded Commutation Failures in Multi-Infeed High-Voltage Direct Current Systems

The increasing applications of high-voltage direct current technology in long-distance bulk power transmission have resulted in multi-infeed systems, where multiple inverters are located within mutual electrical vicinity. Many of these systems use the line-commutated converter, which may suffer the commutation failure (CF) when a thyristor valve does not turn off at the desired instant. The […]

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Assessing the impacts of ship noise on Bowhead Whales (Balaena mysticetus) in the western Canadian Arctic through passive acoustic monitoring

My proposed project aims to determine the extent to which increased vessel traffic in the Canadian Arctic will impact Bowhead Whales and proactively develop mitigation strategies. As Arctic sea ice is lost at an increasing rate due to climate change, the amount of vessel traffic through marine Arctic environments has increased dramatically over the past […]

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Abrasive Waterjet Polishing of Large Hydraulic Turbine Blades Year Two

The objective of this project is to improve the quality of the hard-to-reach areas of the hydraulic turbine blades using abrasive waterjet polishing method. By this way, the energy lost caused by parietal friction between the turbine blades and the flow will be decreased and consequently the efficiency of the turbine will be improved. Previously, […]

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A Data-Driven Framework for Forecasting Project Performance

In the dynamic field of construction project management, accurately forecasting project performance remains a significant challenge. Budget overruns and schedule delays are common issues, and despite the abundance of available data, existing forecasting practices struggle to effectively leverage this information. This study addresses gaps in the current literature by proposing a data-driven approach to enhance […]

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Strategic Optimization and Design of Artificial Lift Technologies: Synthesizing Data-Driven and Physical Analyses for Enhanced Production and Environmental Impact Reduction

The objective of this partnership is to create an intelligent system that utilizes data-driven analysis, machine learning algorithms, and numerical simulations to evaluate and enhance artificial lift technologies, with a specific focus on gas lift. This initiative aims to help oil and gas operators reach the maximum production capacity and minimum environmental impact. The project […]

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Chemically defined media for porcine muscle progenitor expansion – towards their application in cellular agriculture

Agriculture is on the brink of a paradigm shift due to sustainability challenges and the demands of a growing population. This transformation is being led by cellular agriculture, an emerging industry that encompasses lab-grown products ranging from sugar substitutes to meat-in-a-dish. Canada’s pork industry, one of the world’s largest, stands to benefit from this innovation […]

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Remote Patient Monitoring via Wearable Devices and Social Robot Companion

This project addresses critical healthcare concerns by developing a user-centric vital sign monitoring system tailored for continuous patient care. In a society grappling with health management challenges, especially amidst an aging population and events like the COVID-19 pandemic, this initiative bridges a persistent gap in post-intervention care. Many individuals, particularly elderly and fragile patients, often […]

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Development and Evaluation of Novel Small Molecules Targeting Lysophosphatidic Acid Receptor 1 for the Treatment of Triple-Negative Breast Cancer

Triple-negative breast cancer (TNBC), characterized by the absence of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor (HER2) expression, exhibits high invasiveness, metastatic potential, and poor prognosis. Current chemotherapy for metastatic TNBC is associated with low response rates and short progression-free survival. It is imperative to find new therapies for this […]

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Veterinary Disease Detection Using Machine Learning and Deep Learning Architectures

In recent advancements, researchers are leveraging deep learning and machine learning for improving medical care, particularly within the veterinary field. The development of smart, wearable biosensing devices, equipped with non-invasive sensors and integrated with machine learning algorithms, facilitates real-time health monitoring. Continuous monitoring of health data through these devices offers valuable insights into adverse health […]

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Human connections to nature in Niagara Peninsula Watershed protected areas

This research aims to understand how visitors to Niagara Peninsula watershed (NPW) protected areas connect with nature, their intentions for pro-environmental behaviour, and the actions they take to care for nature, the environment, and natural resources. We also synthesize knowledge about interventions taken by park managers around to world to promote pro-environmental and stewardship behaviours […]

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