Early stage detection of ovarian cancer

Infections acquired through long-term catheter use are a major problem for nearly 20% of all patients. This project seeks to apply Econous Systems’ anti-fouling MEG-OH coating to biomedical plastic catheters to see if they prevent the 3 most common microbes: E. coli, C. Albicans and S. Aureus, f rom growing. This will initially involve in vitro testing using a flow-through model to simulate blood flow, monitoring first static and then dynamic microbe growth using fluorescence microscopy. In vivo testing will follow using rats as a preclinical m

Safety and Security for Connected and Autonomous Vehicles

Currently, the automotive industry is going through a very significant transformation---one that is blending cars with modern IT, involving technologies such as: multiple CPUs for in-car computing, ad-hoc networking and Internet connectivity, computer vision and sensing technologies, entertainment and artificial intelligence for automated driving and real-world congestion control. Connected and intelligence vehicles are also raising cyber-security concerns.

Effective Remediation in Porous Systems with Fractures and Heterogeneities: Experimental and Modelling Study

Dispersion of various solutes in porous media has been investigated experimentally and theoretically for different scientific purposes. The study of this phenomenon can provide fundamental knowledge of solvent (or gas) flooding in enhanced oil recovery, groundwater contamination, and catalyst-based chemical processes.

A Framework for MBFC Big Data System

The Mercedes-Benz Fuel Cell Division (MBFC) in Burnaby, Canada develops and runs the manufacturing processes required for the assembly of Fuel Cell Stacks prototypes. MBFC uses the Manufacturing Execution System (MES) to collect and analyse data from the manufacturing lines to the database system. However, because the size of the collected data is very large, MBFC is not able to detect certain fuel cell defects in a timely manner and sometimes not at all.

Tagging and Auto-Captioning of Histopathology Scans for Diagnosis Assistance

Digital pathology uses modern scanners to capture high-resolution images from biopsy samples. Computer algorithms, especially artificial intelligence, can help in automatic searching for similar cases in the archive of hospitals and laboratories. Displaying similar images form the past patients, that have already been diagnosed and treated, can provide useful information to the pathologist to solidify the final diagnosis. These images, however, are very large such that their processing requires smart algorithm to distinguish between relevant and irrelevant information.

Photometry- and Radiometry-based Precision Agriculture

Labor cost and availability are identified as the biggest challenges facing Canadian agriculture. The DOT Technology Corporation, as part of the SeedMaster, is to create an autonomous power system that acts as a primary locomotion unit for carrying a multitude of farm implements used for seeding, fertilizing, and tilling. This simple autonomous power will enable farmers to employ a number of farm functions through a shared, smaller, and economical locomotion base, called DOT.

Performance-Based Seismic Assessment of Irregular Bridges

The current project is designed to assess the level of damage that a realistic irregular bridge will undergo after the occurrence of an earthquake. This study encourages an improved understanding of post-seismic return to service and repair of an irregular bridge. A more sophisticated approach will be used to analyze the complex vibrations of the bridge in response to a seismic excitation and to simulate the progressive collapse of the bridge during an earthquake.

Research for Innovative Mining Methods

Narrow-vein steeply dipping deposits are challenging to mine economically because they are poorly oriented for surface mining, and underground mining normally requires development of extensive underground infrastructure before mining the vein. Memorial University is currently collaborating with Anaconda Mining for the development of innovative narrow-vein mining (NVM) technology to mine several of these deposits currently held by the company e.g. the Romeo & Juliet Deposit.

Improved Thermoplastic to Oil Pyrolysis Process Technology with Advanced Plasma Technology

The field of plastic waste management is essential for sustainable society that utilizes plastic waste for energy production. Land filing and incineration of plastic waste has large environmental impacts due to GHG emissions. Thus, pyrolysis is considered a low environmental impact process with high value end products. RF thermal plasma technology will help reduce operating cost, cleaner thermal source, shorten reaction time and provide high quality hydrocarbon gasoline and diesel.

Maintenance Recommendation - Downtime Adaptive Learning

Time Series is a sequence of records and observations ordered in time. For instance, feedback from a sensor with timestamps can be considered a time series set. Studying Time Series can help with the predicting and understanding of a system and its behaviour. It can also be used to control the mechanism. In the past, data was expensive, and more challenging to process. Fortunately, today there are many sensors and servers which collect and report thousands of measurements. Internet of Things (IoT) produces large amounts of data.