Hydrogen powered polymer electrolyte membrane fuel cells (PEMFCs) are a clean energy technology that generates electricity without harmful emissions at the point of use. Current R&D efforts mainly target to commercialize PEMFCs through cost reduction and durability enhancement. The lifetime of PEMFC is limited by the degradation and failure of the polymer electrolyte membrane (PEM). The proposed research project addresses the mechanical degradation mechanism, a key factor reducing the lifetime of PEMs, by developing in-house ex-situ mechanical durability evaluation tools.
Liquefied natural gas (LNG) has up to 20% CO2 and 90% NOx fewer emissions than diesel; making it a cleaner alternative fuel for mobile applications. LNG has high volumetric energy density and is cost effective ($0.5 cheaper than diesel gallon equivalent). However, LNG is stored at low temperatures (-162ºC) and releases boil-off gas that contributes to the greenhouse gas (GHG) emissions. In collaboration with Westport Power Inc., the global leader in natural gas engines, we aim to identify the weaknesses in the LNG distribution chain to reduce the GHG emissions and the LNG delivery cost.
In recent years, the remediation of residual and historical soil and groundwater contamination has become a priority for the oil and gas industry. Due to increasing public awareness and media attentions, the exploration and implementation of cost-effective and environmentally friendly approaches for remediation of contaminated sites has increased significantly as a mechanism to demonstrate social accountability and environmental sustainability.
While GPS has become the de-facto standard for positioning, its availability and accuracy are hindered by attenuations. Positioning using vision-based systems is becoming an attractive solution due to its infrastructure-less architecture and its wide integration into portable devices.
Bell Helicopter Textron Canada Limited and Pratt & Whitney Canada have all initiated research projects on Additive Manufacturing (AM) processes. Although applications are different, all companies are facing the same challenges, including the lack of a mature Canadian supply chain. The purpose of the current project is to bring together the whole value chain (Certification authorities, OEMs, Suppliers, Universities & Research Centers) to collaborate on common tasks for the development of the capability to design, produce, inspect and certify parts using AM processes.
Counting coins, with speed and accuracy, has been a challenging issue for banks and stores. People used to count coins manually before the arrival of coin counting machines. The process of counting coins manually is a very time consuming and tedious job. Moreover, mistakes are
likely to occur due to various reasons such as fatigue, eye tiredness and too many coins of nearly same shape and size cause confusion in sorting and counting.
The objective is to develop a real-time fraud detection algorithm for a large E-commerce company based on construction of a robust reference model from normal multivariate data. To accomplish this, we propose to leverage machine learning techniques, such as reinforcement learning, in combination with stochastic modeling techniques such as Hidden Markov Models, to provide both a comparative study between the approaches and possibly produce an enhanced algorithm which applies both methods appropriately.
Increasingly prevalent patient violence within the dementia population is a challenge to long term care providers.
Violent incidents can lead to serious musculoskeletal and neurological health complications. I propose to use video surveillance and a novel brain monitoring system in a care facility-based elderly population, to monitor violent episodes and brain vitality after incidents.
Patients who suffer from severe burns require immediate wound closure to ensure survival and facilitate healing. The current gold standard in surgical practice is the use of split-surface autographs, allographs, or skin substitutes, but limitation range from the lack of layered tissue organization, the potential for immunological rejection, and the need for high quantities of donated tissue.
Composite materials have been increasingly used in todays aerospace products such as Bombardier CSeries and Boeing787 airplanes. A widely used composite manufacturing process is Automated Fiber Placement (AFP) utilizing robotics, precision control, and other high tech tools. Quality requirements for aerospace products are at very high level for product safety and performance. Statistical quality control have been widely used for many decades in automotive, aerospace and other manufacturing as well as service industries.