The detection of a power circuit breaker's operation through measuring electromagnetic emissions produced by the arc in the interruptor tube is a promising method for ensuring the remote supervision of these devices and for identifying operation faults before they lead to an explosion. Project researchers will develop an algorithm to determine computationally the position of the faulty interruptor tube. This algorithm will use as inputs a minimal number of measure points and will have to deduce the position based on the signals' arrival times at each of the measure points.
The intern will develop a new space-time finite element formulation to solve steady state problems involving high temperature superconductors in order to evaluate rapidly the losses in a given application. This space-time formulation will also be coupled to a mesh adaption program used to refine the solution only where it is really necessary. This formulation is expected to be advantageous over current formulation since it will avoid using very fine spatial and geometric discretization in the entire simulated domain.
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.
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.
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.
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.
Considering the introduction of new network services such as high definition television over the internet protocol (IPTV), new technologies should be introduced and planned in the Bell’s access network to improve the access rate. In this project, to maximize the profitability of the network infrastructure, we propose to explore an access network evolution model (a mixed integer mathematical programming model) to help the network engineers to plan Bell’s access network considering the demand over the time and the introduction of new services.
The objective of the internship is to develop better thresholds for minimum connection times between flights. These thresholds must be large enough to reduce the risk of passengers missing their connecting flights due to flight delays. On the other hand, lengthier connection times lead to increased costs as planes and crews must wait longer between flights. The best compromises will be found by using historical data on flight delays to evaluate the effect of varying thresholds on the plane and crew costs using optimization models.
The goal of this internship project is to optimize Bell Canada’s network engineering processes to better support the complexity of the company’s network technologies. In this project, to maximize network flexibility and scalability and to minimize the costs, the intern proposes to explore an innovative modular approach for network engineering. Each module will have specific network functions and configurations with the objective of minimizing design and network management costs. It would be then possible to design custom networks for specific clients rapidly with standardized modules.