Today buildings, which account for 40% of the total global energy consumption, constitute large glazing surfaces given that windows provide the necessary spacious feel and direct daylighting for occupants. However, 60% of the heat loss through its exterior surface is attributable to glazed surfaces (windows). Therefore, it is not surprising that advanced fenestration products have enormous potential to realize large energy savings and contribute toward the vision of net/near-zero energy buildings.
Brain tumours, including ependymoma, are some of the most difficult cancers to treat. Although the past few years have seen many exciting advances in characterizing these brain tumours, there are few effective therapies available for patients, many of whom are children and young adults (and for whom long-term side effects can be extremely damaging). Until very recently, research in this area has been hampered by a complete lack of cell lines and animal models.
Over the past few years Cannabis has gone through a revolution with respect to its applications to both the medical and recreational markets. For legal reasons, much Cannabis genetics has been hap hazard but now with legalization scientific approaches can be used to develop useful Cannabis strains for the industry. In this proposal, we will develop two transformative programs to revolutionize Cannabis genetics. The first involves the development of a cheap fast method to identify Cannabis strains.
The project is concerned with delivering a real-world joint perception prediction and tracking system that outperforms the current system implemented in the Uber ATG software stack. This will be achieved by implementing a production version of a state-of-the-art academic paper developed by the research team, testing it against real world scenarios, and then modifying the neural network, inputs, architecture, and operations to obtain better within system results.
Artificial Intelligence is powered by data. In general, the predictive power of AI improves with higher data abundance and higher data quality. However, real-world datasets vary greatly in quality and quantity. In drug design, like many other tasks, there is an abundance of low quality data and scarcity of high quality data. This project will be developing new computational approaches to balance data quality and quantity to make the most out of all available information.
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 process as it passively listens during clinical visits. However, while many companies and research groups are devoted to construct such a system, there has not been any evaluation on the practicality and usability of this approach.
Cellulose nanocrystals (CNC), a form of cellulose, shows a lot of promise in the development of sustainable materials thanks to its unique properties such as high performance, large surface area, is readily available, renewable, and biodegradable. Early methods to synthesize CNC have not been very successful. In order to isolate CNC, to make them ready for fast production of industry needs, these challenges need to be resolved by chemical modifications.
Active vision or perception is one that can manipulate the viewpoint of the cameras in order to investigate the environment, and get better information from it. It mostly encourages the idea of moving a visual sensor to constrain interpretation of its environment.
Substitution of existing diesel buses by zero-emission propulsion technologies (electric batteries and hydrogen fuel cell) in vehicles – specifically public transit fleets – can play an instrumental role in realizing Canada's obligation towards green house gas emission reduction. It is imperative to enable transit agencies to assess the capabilities of existing technology variants in meeting the demands of existing operations to achieve successful, long-term integration while maintaining commercially viability.
Urbanization continues to drive the land conversion from natural areas to urban uses dominated by impermeable surfaces. This conversion has direct and indirect impacts on ecosystem services that are critical for a sustainable and resilient ecosystem as well as human wellbeing. Habitat removal and fragmentation accelerate biodiversity loss in urban landscapes. Additionally, climate change exacerbates these impacts even further. Hence, green infrastructure is also becoming more common in urban landscapes to offset negative urbanization impacts.