The recovery of gold from its ores normally involves a leaching process with cyanide, resulting in the formation of gold cyanide along with a range of other metallocyanides from the crude ore. Therefore, monitoring of the different cyanide species at various stages of the process and in waste solutions is crucial for providing the optimal conditions for the leaching procedure and for environmental protection. AEM wishes to extend the recently developed protocol (or develop new one(s)) in order to analyze the speciation of Zn, Ni, Co, As and Sb complexes in the cyanidation process water.
The internship for each student will be under the supervision of Gilles Bourque PhD, the Combustion Research and Technology Team Leader. Mr Bourque has been working for the past 12 years at RR Canada of which 10 in the Combustion department. The student will be an integral part of his team and as such will also interact with key members of the team on a daily basis.
The proposed research initiative consists of on-site and laboratory tests to evaluate the compaction quality of road sub-soils. To that end, we will use a self-boring pressure-meter to determine the on-site resilient modulus and compare it with results obtained by the Quebec transportation department using triaxial equipment for deviatoric loading in accordance with the LC-22-400 method. Studies demonstrate that the resilient modulus is an essential parameter for road design and analysis.
This research is part of the GéoÉduc3D project, funded by the Geomatics for Informed Decisions (GEOIDE) Network. It aims to propose educational interactive games based on geospatial technologies. The games would explore thematic questions of interest to youth and teenagers. The internship will focus on wireless location in interior spaces. More specifically, it will introduce the player's geographic real-time position in a mobile game in an efficient and robust way. Position information will be relayed via WiFi networks.
We want to study the feasibility of using an algebra-based approach to performing program analysis. In particular, we are interested in the code comparison problem: tackling this problem enables us, among other things, to identify differences between two versions of a code or to check whether an optimized code is equivalent to its non-optimized version. We aim to reduce the comparison of programs to a simple algebraic manipulation similar to those that are constantly performed in classical algebra.
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.
This project will develop classification models in a multi-class and multicriteria context. These models will be based in part on multicriteria decision-making support techniques and statistical learning techniques. The first stage of the project will develop and validate performance measures of the multiclass classifiers. The second stage will develop classification models based on these performance measures of multi-class classifiers as objective functions of the mathematical model. Solving this type of problem will require developing heuristics.
This project in collaboration with Lockheed Martin Canada and University Laval is on aerial surveillance. The goal is to develop and implement algorithms for the automatic object detection using electro-optics data to be used in conjunction with standard operation with the aim of enhancing the speed and accuracy of the regular detection of objects from aerial images. The challenge is to recognize 3D objects in real-world 2D imagery.