The main component of this project with MapleSoft, Inc., a software development and business consulting firm, will be to design a high performance implementation (in C) of a set of procedures the intern has created in Maple language. These procedures provide an environment for doing polynomial arithmetic in a ‘lazy’ way. That is, they allow the team to compute in a way where polynomial algebra is done only when absolutely necessary. Computing in this fashion will allow the researchers to approach the implementation of several computer algebra algorithms in a novel way.
A University of Calgary intern is undertaking an internship with IntelliView Technologies, a provider of software and hardware solutions to incorporate real time behaviour analysis into camera systems. More specifically, the internship will look at Automatic System Detection (ASD) which is used to detect special symbols from an image or series of images taken by a camera. The ASD systems can be implemented in airports to automatically track the cargo packages in air shipment departments.
Zeugma Systems is currently developing the next generation wireline networking equipment which allows the telecommunication service providers to deliver multimedia services over bandwidth constrained infrastructure. The platform of this equipment contains various 3rd party, off-the-shelf, packet switching and processing devices. In this project, queuing models and network simulators will be used to analyze the system level behaviour of this platform. The simulation model includes various traffic management and scheduling algorithms.
Point Grey Research Inc. is a worldwide leader in the development of advanced digital camera technology products. Point Grey designs, manufactures and distributes IEEE-1394 (FireWire) cameras, stereo vision cameras and spherical digital video cameras to a broad spectrum of industries. To take fully advantage of the advanced digital camera technology and reduce the extra cost in data transmission between cameras and servers, it is preferred that most image processing tasks could be done on-camera.
This doctoral project consists in developing and validating a Fourier transform imaging spectrometer for astronomy applications from 350 to 950 nm. The prototype discussed is called SpIOMM (Mount Mégantic Observatory Imaging Spectrometer) and is developed at Laval University.
The content delivery network market is undergoing rapid growth as a broadband penetration develops and the demand for Internet delivery of high-quality media increases. To facilitate the planning phase of Video-on-Demand (VoD) networks, in collaboration with Nortel Networks, we developed the VoD Equipment Alocation Tool.
Nokia is interested in research of both in-body (implanted) antennas and antennas in close proximity to the human body. Nokia is particularly interested in making positive use of the electromagnetic coupling between the antenna and the human body, know as positive body effects. The internship research will focus on fundamental antennas, electric and magnetic dipoles in lossy matter, with a goal to show, quantitatively, that the magnetic dipole is better suited to implanted applications.
Triant Technologies provides the ModelWare Fault Detection software product to monitor sensor data collected from advanced manufacturing tools such as those used for semiconductor and flat panel display manufacturing. ModelWare Fault Detection software performs a range of analyses, including online, multivariate data analysis using a proprietary algorithm and implementation. The goal for this project is to improve the performance of the multivariate analysis methods when used with complex manufacturing equipment.
This project involves the modelling and implementation of algorithms using data collected with a laser triangulation camera. This camera is used to produce highly precise three-dimensional measurements inside rooms. It is activated manually or through a mechanical arm and takes measurements along three orthogonal axes.
This internship project aims at creating a system prototype using several surveillance cameras in order to measure customer traffic inside stores. At the moment, most counting methods use sensors that do not differentiate between repeat visits by the same individual and single visits by different individuals. Moreover, these methods cannot always distinguish between potential customers and store employees or security personnel, thus reducing the quality of the counting measurements.