The project involves creating a vision based system to perform multi-camera 3D tracking of persons in an indoor environment. The implementation of this system will be using Open Vision Library (a standard library for image processing that is designed with hardware acceleration in mind) and it will be running on one or multiple processor hardware platform developed by LightHaus. LightHaus Logic is a Vancouver-based company that develops compact high-performance systems for advanced video analytics and embedded computer applications.
The test characterization of the stress-strain relationship and the fatigue/failure behaviour under combined mechanical-thermal cyclic loadings for pressure vessels in the petrochemical industry is quite expensive and time consuming. An alternative approach is the finite element numerical analysis which requires an accurate and reliable mathematical constitutive model for the metallic materials. In this project, a temperature-dependent elastoplastic material model will be developed.
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.
The emissions of NOx and SO2 are subject to increasingly severe environmental regulations. In an effort to reduce the amount of NOx and SO2 emitted by DuPont’s industrial facilities, the intern will develop new capabilities in NOx and SO2 absorption modeling. During the project, the intern will begin by learning the ChemKin™ software, which he will apply to simulate the absorption of NOx and SO2 into caustic. Caustic is a liquid solution currently used to “clean” exhaust gases from NOx and SO2 in wet scrubber equipment.
The objective of this project is to contribute a quantitative framework for analyzing potential inefficiencies of current practices at Bell Canada in the early stages of telecommunication service provisioning, particularly pre-sales and network request sub-processes. Models of these processes incorporating randomness are to be estimated from past data and utilized as a basis for efficiency improvement using both simulation and analytical optimization tools.
Identifying early onset of cardiac diseases is not easy and can be very expensive. For this reason, the first symptom of cardiac problems is often catastrophic for patients. The ultimate goal of this project is to produce a low-cost screening device that effectively identifies the presence of the disease early, allowing patients to take corrective action in terms of lifestyle, diet and stress management in order to eliminate the need for surgical intervention and/or drug therapy.
Sleep monitoring plays an essential role in the diagnosis of sleep disturbances. While the polysomnogram represents the gold standard, it has the disadvantage of assessing the patient’s sleep in an unfamiliar environment, usually a sleep clinic. This proposal targets the development of new computer vision-based methods for home-based sleep monitoring in partnership with Vigil Health Solutions, a company providing healthcare services and products internationally.
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.
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.