There has been a growing interest in the application of nanotechnology for enhanced oil recovery (EOR). Nanoparticles possess unique physical and chemical properties due to their small size. In addition, their surface coating can be easily tailored for a particular EOR application. The proposed research will develop surfactant-coated nanoparticles as an additive. These nanoparticles will […]

This research will measure the effects of the Cycling Without Age program on participants by observing a variety of indicators. An existing program in a long-term care home will be observed, and 50 residents will be recruited: a biking group (n=25) who will be biked twice a week for 12 weeks and a strolls group […]

The bond between adhered manufactured stone masonry veneer units and the setting bed mortar will be studied. It will involve testing shear, and tensile bond on small samples. Samples will consist of 2 types of adhered manufactured stones; two types of setting bed mortar (Type S, and modified dry-set cement mortar); and two types of […]

With the rise in electronic health records, we are seeing more reports of clinician job dissatisfaction that is attributed to the amount of data entry work they are now required to do. Therefore, there is a lot of interest to use a speech recognition system to reduce the burden clinicians have by automating the documentation […]

Computer-based simulation software, called hygrothermal modeling has become increasingly popular and useful to predict and evaluate heat, air, vapour, and water-related performance of buildings. This research project aims to improve such modelling for wood construction through validation using specifically measured property data and field/lab performance data. The goal is to make modelling a more reliable […]

Deep neural networks are effective at image classification and other types of predictive tasks, achieving higher accuracy than conventional machine learning methods. However, unlike these other methods, the predictions are less interpretable. While accuracy may be enough for applications where errors are not costly, for real world applications, we want to also know when the […]

The project aims to develop the deep learning-based algorithm that translate the image style of specific object to the reference style. Firstly, the proposed research focuses on identifying the accurate region in image for style transfer, and then translating the image style in that region. Current techniques about image style transfer are struggling to focus […]

This research project will analyze different funding options for watershed co-governance in the Nicola River watershed in British Columbia. There are ongoing efforts in the Nicola River watershed to develop and implement a co-governance structure involving the Province of BC and five Nicola First Nations. These efforts are made possible by short-term funding that is […]

Widespread decline in social capital is well-documented and has been attributed to a range of underlying root causes, from policies regarding the physical design of our neighbourhoods, increasing geographic mobility, shifting away from more localized economies, the complexity of increasing cultural diversity in many areas, to societal beliefs and norms related to individualism. We know […]

Dual-fuel diesel-natural gas engines have the potential to be an economical and low-emission alternative for heavy-duty transport applications. These engines combust pre-mixed natural-gas/air mixtures by ignition with a pilot injection of diesel fuel. The fraction of energy provided by each fuel can be varied for engine operating conditions. Natural gas is less expensive than diesel […]

The objective of the research is to develop a system leveraging data captured for commercial building management systems (BMS) to take decisions in to reduce energy consumption without affecting comfort. The idea is to showcase how intelligent control can be implemented in existing BMS to optimize energy consumption. The project is divided in three parts: […]

Autonomous operation of oil and gas pipelines is being introduced to the marketplace by utilizing advanced process control and Artificial Intelligence. This Project will explore the use of advanced optimization algorithms in combination with autonomous operation to further increase efficiency of pipelines by continually driving pumps, compressors and valves to achieve the lowest cost operation. […]