Using longitudinal data to understand gender differences in bicycling over time

This project explores reasons why there are differences in bicycling behaviour between men and women using two longitudinal datasets. It leverages synergies between two research teams examining bicycling uptake Brisbane and Vancouver. Brisbane and Vancouver are promoting active transportation by bicycle through investing in physical bicycling infrastructure, education programs, and promotional activities. Though it is […]

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Big data configuration for Industry 4.0 Robotics

This project relates to the configuration of data generated by several robotic arms during the manufacture of an Airbus A350. Robots generate an enormous amount of data during these type of processes, and the data is crucial for future analysis of how to improve the process. In order to be analyzed, the data must first […]

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Chain Certs: Development of a platform for organizational authenticity certificates creation

Blockchain is a decentralized and immutable data structure. The information stored on blockchain is tamper-resistant, immutable and transparent. Blockchain is an interesting platform for managing digital certificates without a central authority. Because paper certificates can be easily faked or tampered with modern computer skills. Additionally, using a central authority for issuing distributing certificates is inefficient. […]

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An investigation into the operation and operational benefits of a new converter technology for supercapacitor charging

Batteries are main storage systems in many applications such as electric vehicles, shipping, transportation, and utility backup power. With the recent breakthrough in the supercapacitor technology, it is predicted that supercapacitors will challenge the batteries in many of these applications since their power delivery is much faster than the batteries. The current chargers are designed […]

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Vibration-based Damage Diagnosis of Lifeline Bridges

B.C. is home to many of the largest bridges in North America, as well as the largest earthquakes in Canada and the world. The ongoing research efforts aim to implement an automated monitoring system that detects and localizes post-earthquake damage on bridges in real-time based on ambient vibrations. The vision is that in the event […]

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Efficient Motion in Circularly Arranged Sextuple Triptycene Molecular Gears

Molecular machines are compounds which can perform tasks or work given an external stimulus. One of the simplest tools available to scientists interested in nanoscale machines are molecular gears. Like their macroscale counterparts, molecular gears can turn and cause rotation in another part of the molecule in a controlled manner. While several molecular gears have […]

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Nickel-catalyzed [3+2+1] synthesis of 2-pyridones

Catalysts speed up chemical reactions by lowering the energy required for a process to occur. In our daily lives, this phenomenon occurs very similarly to how catalytic converters in car exhausts work. By employing a catalyst, we can minimize waste and save energy, time, and money. However, to increase the performance of a catalyst, and […]

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Machinery Health Monitoring using Multiple Sensor Fusion and Deep Learning

Manufacturing system reliability is significant in modern industry that requires high production speed, low maintenance cost, and enhanced operation safety. The proposed work is aiming to establish a systematic and applicable approach for condition monitoring of key machinery (e.g. bearings, gearboxes, motors) through multiple sensor fusion and deep learning. With the capability of working under […]

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Pilot-scale preparation of phospholipid-free small unilamellar vesicle formulations with potential in treatment of hepatic diseases

Lipid-based nanoparticular drug formulations are a successful technique to enable targeted treatment. The Canadian company Precision Nanosystems Inc. (PNI) develops the innovative instrument family NanoAssemlr for lipid nanoparticle preparation based on microfluidics. These instruments are fast, easy-to-use and provide a high batch-to-batch reproducibility and quality. Recently, we developed a novel lipid nanoparticle formulation with the […]

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Better predictions of employee events II

Machine learning can be used to predict employee events around retention, promotion or movement. This project explores how to generate better predictions by exploring correlations and exploiting them through features that increase predictive strength. Furthermore, the project explores how to reliably fine-tune the predictive model to a particular data set in the presence of interdependence […]

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FortisBC-UBCO Collaborative Research Project: Smart Energy Chair

Exploring the best smart energy choices to meet the growing energy needs of British Columbia (BC) is important due to Canada’s new climate change mitigation targets as well as the rising economic burdens of energy use. A collaborative study has been proposed between UBCO and FortisBC identify smart solutions energy conservation, climate change mitigation, demand […]

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Braiding new possibilities for co-existence: holding spaces for difficult conversations

This project uses social cartography as its main methodological and collaborative tool to map practices that enable or hinder successful collaborations in spaces of socially engaged art between members of various communities in historic dissonance. These include artists from Indigenous and other racialized communities. More specifically, this project explores the potentials of post-representational uses of […]

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