A cloud-based ecosystem for predictive maintenance and management of shipping container

The shipping container is one of the most important assets of international shipping and global trade. Built to withstand extreme conditions, the quality of these large metallic boxes is often overestimated resulting in the international container fleet being perpetually undermaintained. As trade volumes increase terminal inspectors lave less time to conduct container quality inspections. This project aims to create an automated shipping container inspection system using high definition cameras and machine learning software.

Solar Heat Energy Storage and Solar Roof De-Icing Technology for BIPV Living Lab Pro

The first part of the project will be to determine the best material to store heat energy produced by the OM solar system. This project will look into the solar energy and heat capacities of various materials. CRE will befit by being able to choose the best material for heat storage in there home. The intern will benefit because they will get first hand experience in sustainable construction, heating and cooling of a sustainable home.

A Device for the Effective Use of Composted Chicken Manure in Hydroponics Systems

Innovative agricultural methods may be able to provide affordable food and vegetables in Canada’s North. In support of this, Choice North Farms has partnered with PolarPonics to develop a ‘PoultryPonics’ facility that will reduce production costs by integrating chicken and hydroponic production with an automated composting system. To effectively do this, they will require optimal methodologies for composting chicken manure which will need a high-precision, high-frequency sampling device to measure the nutrient content of the manure solutions that are produced.

HPGR Model Development for Different Ore Classes

The research program is aimed at developing novel test procedures and models for High Pressure Grinding Rolls (HPGRs) for comminution of metal ores classified by geology and physical properties. The HPGR is an energy efficient technology and there are presently no accepted small scale tests for sizing the technology for large scale operations. The study will improve the accuracy of test methods that were developed at UBC to replace conventional pilot scale tests that require large amount of sample that are expensive and often impractical to obtain.

Long-Term Prevention of Catheter Infections using Chemical Coatings

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, from 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 model.

Exploring Symbolic Techniques for Fast Robust Nonlinear Model Predictive Control of Autonomous Vehicles

The goal of this project is to design computationally-efficient solvers that can be used for autonomous vehicle control developments. Because autonomous cars have complex mathematical models, it is usually hard to perform their necessary control computations on-line and when the vehicle is running. Therefore, it is required to come up with much faster solvers for their controllers. At the end of this project, the developed control methods will be tested on an accurate simulation platform to evaluate their performance and robustness in realistic scenarios.

Feasibility Assessment and Development of Knowledge, Technology, and Tools for Reliable Hydrogen Injection into Natural Gas Delivery Systems

To reduce their carbon footprint, FortisBC Energy Inc. is investigating the possibility of injecting hydrogen into their natural gas distribution network. Prior to adopting this change, a comprehensive feasibility assessment and development of tools to support the hydrogen injection is required. This includes investigating the effects of hydrogen on existing gas distribution infrastructure, end-user appliances and equipment. Successful execution of the project will enhance FortisBC’s sustainable energy portfolio and support the pursuit and implementation of green technologies.

Investigating vestibular changes in patients with post-concussion syndrome (PCS) in relation to the comorbid depression

This proposal presents two parallel research projects to develop pattern recognition algorithms using a relatively new technology, Electrovestibulography (EVestGTM)1 for objectively and accurately effect of confounding depression on concussion both when used as a diagnostic tool and also as a treatment recovery tool. EVestG signals are recorded painlessly and non-invasively from the external ear in response to a vestibular stimulus; they are the brain signals modulated by the vestibular response.

Advanced Sensor Fusion for Visual Inertial Odometry and Object Identification in Dynamic Indoor Environments

Industrial robots have set important milestones in the era of automated manufacturing by carrying out dangerous and repeatable tasks in the place of humans for over half a century. In this century, professional and mobile service robots are going to play the key role as human counterparts and caregivers in both industrial and daily-life setting.

Development of a new SEN-Flow Index for predicting steel meniscus velocity inside a continuous caster mold by physical modeling experiments

Flat product manufacturers are under constant pressure to increase productivity, and simultaneously maintain high quality of continuously cast steel slabs because of stringent quality demands imposed by their customers. However, increasing productivity has detrimental effects on slab quality, and defects and rejections have a major impact on the producers bottom-line. Controlling fluid flows in continuous casting molds is one of the key parameters to ensure cleaner steel and reduce defects.