Manufacturing system reliability is significant in modern industry that requires high production speed, low maintenance cost, and enhanced operation safety. The proposed work is aiming to establish a systematic and applicable approach for condition monitoring of key machinery (e.g. bearings, gearboxes, motors) through multiple sensor fusion and deep learning. With the capability of working under […]

This project attempts to improve on a Ground Penetrating Radar (GPR) based assessment system that is used to evaluate the thickness of the salt layer in the roof of Potash mining rooms to enhance mine safety. The goal is to improve the operation of the algorithm by studying the GPR signatures of known geological structures […]

The Ladle Metallurgy Furnace is used for adjustment of chemical composition and temperature, and control of tiny particles called “inclusions”. Controlling inclusions is carried out by adding calcium to modify the solid alumina or magnesium aluminate inclusions to less harmful liquid inclusions. During ladle process, reaction of top slag, steel and inclusions occur simultaneously. Therefore, […]

Steel structures are commonly considered highly ductile and less sensitive to seismic effects provided that adequate seismic detailing for ensuring sufficient energy dissipating mechanism are guaranteed. However, many existing steel residential framed buildings have been designed before the implementation of modern seismic structural design codes. These buildings show low energy absorption and inadequate dissipation capacity […]

Graphics Processing Units (GPUs) are usually employed to quickly render images on everyday computer screens, and do so quickly and efficiently for relatively little cost. Modern GPUs are able to do hundreds or thousands of simultaneous calculations; rewriting conventional computer problems in the language of GPUs offers the potential to dramatically decrease the computing time […]

Le secteur de I’efficacite energetique prend une place de plus en plus importante pour les entreprises. O’ailleurs, un des problemes qui peut survenir frequemment est d’aller mesurer la composition des composes chimiques dans des conditions difficiles d’acces. Pour pallier a ce probleme, il faut creer et valider des modeles mathematiques qui vont calculer la composition […]

The aircraft flight deck has increased substantively in its complexity in recent years. The input systems are more complex, and the information feeds are much more detailed. In order for a pilot to interface effectively with the aircraft systems, the cockpit control functions must be laid out in an intuitive format. To do this, a […]

Pipelines are often subjected to longitudinal stresses due to ground movements such as moving slopes and discontinuous permafrost areas. In these cases, numerical models are used to calculate strain demand which is then compared to tensile and compressive strain capacities (TSC and CSC) which are functions of the pipeline and girth weld material properties. In […]

This Mitacs research project will help develop a data collection strategy by identifying key variables such as the kinds of data sets and frequency of collection required. In addition, this Mitacs project will help determine what types of databases are required for data storage and which analytical procedures should be used on the data sets. […]

Exploring the best smart energy choices to meet the growing energy needs of British Columbia (BC) is important due to Canada’s new climate change mitigation targets as well as the rising economic burdens of energy use. A collaborative study has been proposed between UBCO and FortisBC identify smart solutions energy conservation, climate change mitigation, demand […]

Tandis que la diversité et l’efficacité des ressources énergétiques ne cessent de croître, l’emmagasinement d’énergie à moyenne et grande échelle constitue un des défis majeurs de notre secteur énergétique actuel. Le présent projet met en place une politique décisionnelle automatisée à base d’intelligence artificielle, spécialement entraînée par rapport à l’impact de ses décisions. Ceci permet […]

PITCH is a new initiative focussed on understanding new models for delivering sustainable and proactive health assessments with a focus on patient engagement. It is a collaborative program that includes computer scientists, engineers, data scientists, clinicians, home care providers, and industry partners. In this work, we aim to develop novel security, auditing, analysis and visualization […]