Le projet vise à concevoir un système informatique en mode Saas (Software as a service) qui permette de réaliser de façon automatique et autonome le diagnostic des processus d’une PME pour vérifier son niveau de conformité à une réglementation, la production de recommandations personnalisées en fonction de l’entreprise, de ses besoins, de ses processus et de son contexte d’affaires, la certification de conformité après l’implémentation des recommandations.
In the context of the intern’s postdoctoral project, the research project aims to examine the correlation between the restrictiveness of a reform and the likeliness of its transfer using the IMPALA database. To this aim, the intern, after having received appropriate training, will incorporate the relevant regulatory framework in the International Migration Policy and Law Analysis (IMPALA) database. The IMPALA database includes a wider range of regulatory documents than existing databases, with primary and secondary legislation, administrative directives and relevant case law.
With the support of Pierre des Lierres, Business Development Director at Mitacs, the company obtained the financial support of Mitacs Accelerate Quebec and connected with Iban Harlouchet and Professor Pierre Lafaye de Micheaux from the Department of Mathematics and Statistics at Université de Montréal. Iban undertook research at Odotech to optimize algorithms of the e-nose sensors that analyze olfactory emissions.
DHEA is a major neurosteroids precursor, and a decrease in its serum levels have been associated with neurodegenerative diseases, especially Alzheimer's disease. Little is known about steroid hormones localization and levels in the major functional areas of the human brain and which enzymes are involved in their synthesis and inactivation. We will investigate steroids levels in these areas using matrix-assisted laser\ desorption/ionization (MALDI)-Imaging mass spectrometry and liquid chromatography coupled with tandem mass spectrometry using the monkey brain as model.
In this project, we propose to develop innovative methods to improve the efficiency of yard operations in intermodal terminals where containers awaiting to be loaded on the trains are temporarily stored. The management of yard operations involves allocating storage space to containers on the yard, and assigning cranes and/or other handling equipment to transfer the containers to the rail cars. The lack of proper planning and mishandling of containers can lead to large delays and significant rise in the operating costs.
The goal is to investigate the realistic appearance models for complex reflectance properties, modeling reflectance, masking and inter-reflection at many scales. In the end, comparison and basis-space representation will be leveraged to develop an interactive rendering application for pre-visualization and in-game portrayal of complex materials.
MixGenius works on automated musical production by real-time musical genre detection. High accuracy of genre detection for a variety of sub-genres is required for quality production and has yet to be achieved. The project involves researching available real-time high-accuracy musical genre detection methods and improving upon them, extracting each genre’s audio features, calibrating the algorithm with a database of songs of different genres, testing them with other songs of the same genres and repeating the process as needed to improve detection accuracy.
The advantages of digital data (signal functions) processing have made this technique a standard for processing real world analog data in many areas of life, from music industry to seismology. Stored digitally, the data also become less sensitive to physical limitations than their analog counterparts. Other advantages include straightforward low frequency filtering procedures (e.g. as required in seismology, oceanography and other environmental monitoring), as well as frequency bounding (e.g. in telecommunications, sending large bandwidth signals over a narrow bandwidth).
“I was inspired by one of my colleagues at university who was part of the program last year and now promotes it in India. I was lucky enough to be selected to come here to Canada for research into leukemia in children.”
Manish is about to begin his final year of studies for a Bachelor of Technology degree with a major in Biotechnology and a minor in Computer Science at the Indian Institute of Technology Guwahati.
This project seeks to develop new methods for imaging oxidative and vascular function in the brain. The methods under development are based on widely available MRI hardware, which will make them feasible for use in future clinical drug trials, an application that is of interest to the partner organization CQDM. Before the approach is ready for commercial application, a number of methodological issues must be addressed to achieve optimal sensitivity, specificity, and tolerability in patients.