Aircraft flight simulators are important to airworthiness standards and thus safety. The simulators are used in pilot training, as well assisting in the design of flight vehicles. Flight simulators need physical models that reproduce, in the computer, the real devices such as engines, pilot human response, cockpit, etc. In particular, it also needs an aerodynamic model which constitutes one, if not the one, most expensive simulation component. Whereas in airplanes, quasi-steady models are often enough for simulations, helicopter requires unsteady models making them even more expensive.
The development of the wireless communication system from 4G to 5G requires more spectrum bandwidth to transfer massive data. Sub-6 GHz frequency range which is below 6 GHz is one of the target frequency band for 5G applications. Thus, power amplifier which is one important component in the transmitter in the wireless communication system is required to operate efficiently at that band. The wide-band modulated signal for the 5G also introduces a wide dynamic range corresponding to a large peak to average power ratio (PAPR).
This project aims at developing an automated system for water sampling along the coast of Nova Scotia using a swarm of flying robots. Currently, water is sampled by hand by teams of 2-5 people each on a number of boats, that must regularly travel to different sites, collect samples, and bring them to land for analysis. This task is slow and costly and exposes people to the inevitable dangers of the ocean.
In the game industry, software projects extend over several years: for instance, a typical AAA game is developed for 3 to 5 years. To make the development process easier for the developers, tools are put at their disposal to help with, for instance, the artistic creation process or code integration.
Electric mobility is promising in terms of lower CO2 emissions. In order to analyze its impacts effectively, both on the electric grid and the transportation system, agent-based models emerged as a viable option. Such methodology will be applied to understand the potential impact of electric mobility in great Montréal area, Canada. A scenario reproducing the current transportation system will be created, calibrated, and validated. It will be coupled to a power supply simulation developed by Hydro-Québec research center (CRHQ), creating a model of the dynamics between the two systems.
With the development of advance telecommunication systems, new opportunities for real-time public transport monitoring has been created. Traffic congestion in the vehicular ad-hoc network can be typically caused by an accident, construction zones, special events, and adverse weather. This research presents a cognitive framework to address real-time routing problem and and arrival time prediction for bus system using a machine learning method.
Ce projet est une collaboration entre le CHUM et Polytechnique Montréal qui vise à développer un outil d’aide à la décision pour la planification du bloc opératoire. Par résolution d’un problème mathématique, on génère un horaire des chirurgies qui détermine les priorités opératoires (soit quelle spécialité sera opérée dans quelle salle). Cette planification intègre les durées de séjour des patients selon leurs diagnostics opératoires afin d’éviter que la capacité des lits de l’hôpital n’arrive à saturation et que cela ne mène à des annulations de chirurgies électives.
Dans ce projet, nous nous proposons de développer un modèle de simulation qui vise à analyser le flux des patients aux urgences, particulièrement le temps d’attente. Cet outil permettra aux responsables de la coordination du CHUM d’être proactifs dans la gestion des urgences. Il leur servira entre autres à comprendre le comportement du système, identifier les facteurs clés qui influent dans la performance du service, ainsi que les causes pouvant mener à la saturation de l’hôpital.
Le Comité tactique en intelligence augmentée du Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CHUM) mène de front des projets pour activer et concrétiser les principes d’innovation et d’intelligence artificielle (IA) responsables en actions afin de faciliter l’adoption des projets innovants en IA au CHUM.
New generation of civil transport aircraft presents interaction between flight mechanics and structural dynamics. Innovative CLaws have been developed to address this issue. They need to be verified thoroughly by high-fidelity simulations. For a research and development project, the traditional industrial verification process is too demanding and would be too time consuming. Indeed, each high-fidelity simulation is very slow.