Optical imaging and the underlying image analysis has seen tremendous progress in recent years. Although it is now possible to perform multi-modal acquisition, the analysis frameworks for multi-modal data remain elusive. For example, the different scales and resolutions at which the images are taken require the use of mathematical techniques to deform, analyze and co-register images in a coherent framework. In parallel, J. Patera and his research group have, over the last few years, developed new Lie Algebra-based techniques to process images and perform continuous operations on them.
A 150m high mine slope has been subject to movement, requiring the mine to reduce the slope steepness while extensive investigation and analysis is undertaken. This reduction in ore production has major implications for the economical viability of the mine.
The Scotsburn Dairy Group produces over 300 ice cream products for many customers in a highly variable, seasonable market. Currently, no software packages exist in the market to help small to medium-sized dairies manage their production planning and scheduling. By working with Scotsburn, a production scheduling tool will be created which is tailored to the complex needs of a dairy production facility. This tool will help Scotsburn to plan their production efficiently and effective to make the most of the capacity and remain competitive.
In their various versions (XP, 2003, Vista, Longhorn), Windows operating systems offer different cryptographic security technologies for data such as Encrypted File System and BitLocker. The capabilities of these tools depend on the presence of hardware modules for example, the Trusted Platform Module. The aim of this project is to complete a comprehensive study of the usage made of these technologies so that step-by-step tutorials can be prepared to guide users of these technological tools as per requirements.
Hybrid vehicle technology is an important and exciting area of research. This internship is with Azure Dynamics, a BC company that designs and manufactures hybrid powertrains for commercial vehicles. The intern’s research will examine state-of-the-art hybrid vehicle powertrain architectures to determine the performance capabilities of the various designs, perform performance and cost analysis and conduct system optimization to identify the optimal design.
Enquisite Software provides analytical services to corporate clients through the “mining” of data detailing how the clients’ customers interact with the clients’ Internet points-of-presence. To facilitate this work, Enquisite collects a continuous stream of client interaction data, which is stored in an Enquisite-held repository, over which Enquisite clients perform on-demand queries for business actionable knowledge.
The purpose of this internship project is to explore the possibility for mathematically modelling casino floors in order to predict floor performance in partnership with SPIELO, a Moncton, NB-based company which designs, manufactures and distributes high-tech gaming products. Such a model could be used to assist floor operators with deciding where to place games. Recent advancements in game machine technology make it possible to change a game provided at a given location on a casino floor by simply downloading software to a physical machine permanently placed at that location.
Groundwater over-extraction and the associated adverse effects have raised significant concerns. In order to respond to the urgent calls for effective management approaches and control actions, this study aims to develop an innovative groundwater evaluation and planning system by integrating water balance modelling, system optimization, scenario analysis and capability assessment.
The objective of this research is to develop a comprehensive material waste minimization program in order to enhance sustainable development and promote innovation in the residential construction field. The scope of the research will include the identification and detailed examination of the factors that contribute to residential construction material wastes, the investigation of opportunities for automation of existing methods and processes as alternatives to current practices and the implementation of best practice concepts to minimize construction waste in the industry.
The goal of this internship project is to develop a system for numerical modelling of the weather conditions contributing to the heightened risk of transmission system outages. A regular weather forecasting will be enhanced by specific models of the risk increasing factors, such as strong winds, freezing rain or lightening. The enhanced model will help to identify the time and location where hazardous situations are likely to occur, allowing users to make informed decisions regarding potential risk sectors and planning future expansions of existing transmission networks.