Current work presents an overall framework for control and monitoring of dynamic position of vessel in the offshore facilities. In the core of the framework a control system will be used to keep vessel in desired position and an estimator to estimate ice, wind speed etc. Outer layer of the framework presents a monitoring system […]

The growing amounts of metal waste being transported and recycled is a challenging problem. This research project aims to build efficient daily vehicle routes of the reverse logistics problem and collecting metal waste form different points in order to minimize total costs under multiple operational constraints. The reverse logistics vehicle routing problem which combines a […]

The Gulo Gulo project objective is to improve the navigation algorithm utilized by the onboard motion sensors of AV/CVs to achieve positioning accuracy of less than 1% of the distance travelled with standalone INS solutions. The standalone solution will be aided with visions sensors (camera, LIDAR and RADAR) in addition to integrated system fusion with […]

Porous Rubber Pavement (PRP) is a new type of permeable pavement in North America. It consists of stone aggregates, crumb rubber from recycled tires, and polyurethane as a binder. Due to a higher percentage of air voids (27% to 29%) and flexible nature, it offers extensive environmental and safety benefits, including improved stormwater management, reduced […]

The project objective is to understand and apply the metallurgical fundamentals for the heavy gauge steel product development. The major tasks can be divided into two groups: (A) the precipitate investigation through conventional and advanced characterization techniques such as transmission electron microscopy (TEM) and (B) the implementation of thermomechanical processing models for the rolling schedule […]

Transportation systems are evolving towards intelligent transportation systems and ISR Transit is a leading provider of these systems providing solutions in fleet management. In these systems, one of the enabling technologies is wireless sensor networks in which sensors are used to obtain information about the fleets. For example, sensors are deployed on motor, brake modules, […]

The future of aviation is (much) faster travel with (significantly) lower environmental impact (pollution, noise, etc.). In another couple of decades, hypersonic flight (5-10 times the speed of today’s aircraft) will be a serious contender. Tom Clancy prophesized having breakfast in Washington and be back in time for lunch after conducting business in Europe: that […]

Automatically assessing a pilot performance during a flight training session is a capability that can enhance the flight instructor during his duty. From data gathered during a flight maneuver, we are looking for a way to automatically assess pilot performance to augment instructor performance and provide objectivity during flight training assessment.

BRP is a global leader in the world of powersports vehicles, propulsion systems and boats. The company wants to develop electric motors for its future on- and off-road electric vehicles, thus reducing the greenhouse gas emissions of its products. Powersports electric vehicles require electric motors with high power, but low weight. This type of motors […]

Le projet consiste à développer des algorithmes permettant de créer des secteurs pour les clients de Fastercom. Afin d’y parvenir, différentes méthodes de Machine Learning seront évaluées et implémentées. Cette création de secteurs permettra d’améliorer la performance des algorithmes de la compagnie en découpant le gros problème d’optimisation de tournées de véhicules en petits problèmes […]

Le véhicule à conduite automatisée est l’un des systèmes les plus complexes existants à ce jour. Son développement entraîne la considération de nombreux paramètres touchant à bon nombre de secteurs et nécessite ainsi le développement et le renouvellement de différentes technologies du réseau routier telles que les infrastructures routières. L’impact de l’intégration de ces systèmes […]

Reinforcement learning (RL) is the problem of designing an agent that interacts with its environment and adaptively improves its long-term performance. Many complex real-world industrial decision-making problems can be formulated as an RL problem. RL is at the core of artificial intelligence and has the potential of having a huge impact on our economy and […]