In the proposed project, a series of computer-aided simulations will be conducted to determine the thermal behaviour of engine components in the presence of a fire inside the engine. The goal is to predict the heat transfer rate into the components, and the behaviour of the oil found inside those components.
Bacterial cystitis (BC) is a common painful inflammatory disease of the urinary bladder due to an infection. Even with antibiotic treatment, BC continues to have significant negative impacts of patients’ quality of life due to pain
and risk of recurrence. Altheda Wellness Innovation Inc.
The research project aims to improve Picketa Systems’ real-time potato plant analysis technology. The project explores machine learning and calibration transfer methods to make the technology more accurate and reliable in any environment. Picketa Systems will be able to provide their customers with better information, which they can then use to optimize fertilizer applications in their potato crops as a result of the project.
The proposed research project aims to develop an advanced computer-based method for automatically identifying and segmenting brain tumors in ultrasound images using deep learning techniques. By training a specialized algorithm called the Generalized Probabilistic U-Net, the intern(s) will create a powerful tool that can accurately detect and locate tumors in ultrasound scans.
This business idea has been developed based on a focus on using environmentally friendly growing medium (sawdust and Pro-mix BX™ potting medium) and precise LED spectrum on enhanced plant production and bifunctional properties of Jamaican thyme (Plectranthus amboinicus) microgreens and functional plants.
The increase in mental health conditions in Canada is overwhelming, causing significant burden to millions of Canadians and high costs to our health care system. Conventional sedation drugs act as a temporary cover up while posing dangerous health risks or unpleasant side effects. In this project I propose the design and building of an android based mobile application that prescribes customized music to improve mental health (anxiety, mood, depression) of people.
In this project, we're developing a smart wearable device that works together with an app to assist users in improving their sports performance and maintaining their health. Ideal for enthusiasts of sports like golf, tennis, or badminton, this innovation is designed to overcome challenges in skill improvement. The device tracks user activity during play, sending this data to the app. The app then provides personalized advice based on the user's performance, fostering growth and proficiency.
Our proposed research project aims to develop and optimize innovative 3D-Hybrid Composites (3DHC) and 3D-Fiber Metal Laminates (3D-FML) using a new development called PlastiCore. These materials offer exceptional mechanical properties, such as specific stiffness, strength, fatigue and impact response, and damage tolerance. PlastiCore simplifies the fabrication process and enhances material consolidation, providing a cost-effective solution for lightweight structures.
The proposed research project aims to explore the benefits and challenges of migrating on-premises data centers to cloud-based solutions. The intern will investigate the environmental sustainability, cost-effectiveness, and trustworthiness of cloud computing in comparison to traditional data centers. By analyzing real-world case studies and conducting experiments, the project seeks to provide insights into the potential savings in energy consumption, operational costs, and improved data security that can be achieved through cloud migration.