NeoSpina Health Care Inc intends to contribute to unprecedented treatment techniques for LBP by developing a novel medical device and investigating acquired data from treatment procedures. Accordingly, the main objective of this project is to develop a non-invasive robotic device to treat a wide array of spinal conditions while reducing the treatment duration compared to conventional methods. The device will be equipped with motor actuators and force sensors, permitting interaction with the patient’s lumbar spine and data acquisition in real-time, which entails an appropriate design.
If Canada is to achieve its 30x30 targets (protecting 30% of land and water by 2030), a combination of emissionsreductions and innovative carbon sequestration solutions are needed. Further, these solutions must achieve multiplebenefits for health and community resilience given that adverse health and climate change impacts are predicted todisproportionately impact vulnerable communities. Nature-based solutions (NbS) [Cohen-Shacham et al., 2016; aredefined as interventions to protect, manage, and restore landscapes that store carbon and ultimately benefit humanwell-being.
The main focus of this project is to maintain energy-efficient components and assets in existing buildings. Artificial Intelligence (AI) will be applied first to predict the building's components' future energy consumption and health conditions. Then, by having these data, a novel maintenance management and energy management optimization model will be created to perform the correct maintenance tasks and activities at the right time to reduce the maintenance costs and energy consumption.
The increasing frequency of flooding has driven research to improve near real-time flood mapping from remote-sensing data. In Quebec, in the spring of 2017, several regions experienced severe flooding caused by consecutive record-setting rain events during snowmelt from early April to mi0-d-May. The current project aims to provide real-time monitoring tools not only for flooding but for drought as well, i.e., visualization and simulation tools using both remote sensing data, but also data collected from an Internet of Things network.
The PDF will start by validating the use of the open-source Stanford University Unstructured (SU2) RANS-based CFD solver for rotorcraft design. This includes generating a mesh and configuration file with SU2 and performing a grid convergence study to validate SU2 and the chosen turbulence models against the reference experimental data. Following this, PDF will generate a mesh and configuration file for the reference rotor geometry provided by the partner organization, Limosa Inc.
MiNextStep will develop a web-based software application and platform to serve the needs of stakeholders involved in work placements (internships and co-op programs): employers, students and internship coordinators in universities.
This purpose of this research project is it implement creative access affordances at Centre CLARK, an artist-run gallery in Montreal’s Mile End Neighbourhood, to increase the participation of visitors with various disabilities and access needs. Divided into four sub-projects, this research will use interviews, access audits and participatory workshops to find creative solutions to access issues in the categories of curatorial design, structural design, digital interventions, and artist representation at Centre CLARK.
While more than 50% of Canadians are women, less than 14% of practicing engineers are women. Furthermore, while more women are graduating with engineering degrees, they are less likely to remain in the profession than men. The workplace and professional self-regulation are not traditionally tailored to employees who balance work and caregiving responsibilities, which are primarily undertaken by women. This “balancing act” can negatively impact the health and well-being of caregiving employees, causing some to drop out of the workforce.
The Emotional Imaging Composer is a system that translates bio-signals into responsive environments in real-time. The sensors capture emotional profiles, reading physiological signals to effectively map a person's emotional state. These signals are then processed to generate a fluid collage of aural and visual images which, when projected into an environment created to receive them, creates a rich, external manifestation of the person's internal emotional experience.
The aviation industry is a significant contributor to anthropogenic greenhouse gas emissions, and the influence of these emissions is exacerbated by the fact that they are emitted at high altitudes. This project advances the development of fully electric Urban Air Mobility (UAM) systems, which have the potential to significantly reduce emissions relative to existing jet fuel powered aircraft. Unlike conventional aircraft, which use jet fuel-based propulsion systems, UAM is expected to utilize fully Electric Vertical TakeOff and Landing (eVTOL) aircraft.