The fish processing industry produces a high level of fish waste (head, bones, skin, fins, etc.) which is often discarded in landfills. This underutilized biomass waste stream has potential to be upgraded through hydrolysis to be used an organic fertilizer. Eberts Fur Farm Inc. currently obtains fish waste from a local food supplier to use in their animal feed formulation. They are now looking to diversify their business with the production of organic fish-based liquid fertilizer in order to fulfill Chatham-Kent’s demand for a regional and organic supplier of fertilizer solutions.
The COVID-19 pandemic is unlike anything the world has seen in over a century, both in terms of global spread and economic impact. Certain individuals particularly the elderly and those with underlying diseases, are more susceptible to severe infection and dysregulation of the immune system. Since the recent outbreak, many more individuals have been taking immune stimulating natural health products (NHPs) to promote better immune health. Unfortunately, quality of most NHPs in Canada is not regulated to a high standard.
Technology can be a valuable tool to help physicians improve the care they provide for their patients. We set out to determine if an AI powered mobile application could help primary care physicians detect clinically significant positional plagiocephaly and/or craniosynostosis during regular well-baby visits. The intern will directly help in planning, conduction, and statistically analyze the performance of an AI software in addition to gaming hands on experience conducting a clinical pilot study.
Tackling climate change is a complex task, one that depends on transformation of different sectors. Maritime shipping is the transmission belt of the global economy and continues to account for the majority of imports and exports. It is recognized as an energy-efficient mode of transportation compared to road and air transport. Yet, maritime transport has increased by 250% over the past 40 years, resulting in the sector contributing to 3% of total annual man-made greenhouse gas (GHG) emissions.
Blockchain and distributed ledger technologies provide networks a method to ensure trust in the network while not relying on a central authority, or even any individual node in the network. Moreover, these technologies enable secure transaction and recording keeping within the network by using distributed consensus to verify the actions of users and cryptographically linking blocks of transaction with one another.
Blockchain technologies are increasingly becoming integral parts of information systems in domains that exhibit an increased need for resilience and can make no assumption of trust between parties. However, properly adopting blockchain in an information system design remains difficult, unsystematic and requires thorough understanding of the technology. In this project we explore ways by which traditional model-driven architecting and design techniques can be augmented to support incorporation of blockchain components.
The goal of the project is to research and develop computer vision algorithms, software, and specialized hardware for the analysis of mixed traffic at intersections. Road users will be detected and classified as motor vehicles, pedestrians and bicycles. Road users will be geo-located within a 3D model of the intersection, tracked and classified according to trajectory. Our partner TransPlan will benefit in that they will be the Canadian receptor for the algorithms and software that Shahab generates.
We will develop a conversational assistant that can answer Canadian employee and employer questions about Covid benefits. The assistant will ask the user a minimal, easy-to-understand set of questions to help them figure out whatever benefits they are eligible for and will direct them to the relevant sites for applying for these benefits. The partner organization will thus have yet another tool with which to support their clients through this crisis.
In times of crisis or disaster, there is a need for software features and functions to be empathetic to the circumstances of the person who is using that software. Having empathetic software features and functions is particularly important when the software is being used to collect data about the health status and information needs of the person who is completing an online survey tool during a crisis such as a global pandemic.