Now, a research team at the École de technologie supérieure is developing a technology-based solution to help nurses and doctors distinguish important signals in the ICU: a ‘smart’ earplug for hospital care practitioners. This summer, they’ve engaged an international research intern — through a Mitacs Globalink internship — to help bring the technology one step closer to a care unit near you.
Pure Technologies is a world leader in the development and application of innovative technologies for inspection, monitoring and management of physical infrastructure including water and hydrocarbon pipelines, buildings and bridges. Over the years, Pure Technologies has developed innovative, proprietary and patented technologies to provide infrastructure owners with comprehensive, state-of-the-art information. For the inspection of large diameter water pipelines, Pure Technologies has developed a platform named PipeDiver.
In a world that is getting noisier and as more people are at risk of noise-induced hearing loss the NSERC-EERS industrial research chair in in-ear technologies (CRITIAS) and its industrial partner EERS, have joined forces to address the existing issues in hearing protection devices (HPD). Difficulties in communication is the most prevalent reason why HPDs are not worn in noisy environments. The goal of this project is to enhance communication for talkers wearing HPDs in noise. This is done by capturing speech from inside the occluded ear, denoising it and extending its frequency bandwidth.
Brain-computer interfaces (BCI) can directly translate human intentions into discrete commands, bypassing the motor system. Most non-invasive BCI systems currently in use are based on electroencephalography (EEG) recording technology. While traditional EEG-based BCIs achieve high information transfer rates, these systems have two major limitations. First, they cannot be used in daily life as they do not tolerate natural movements. Second, the equipment, a cap or headband and electrodes, would be inadequate for social settings.
With the Internet of Things technology, a multitude of small devices and sensors are connected to the cloud and social networks using the Internet. These devices generate a huge volume of data, which can be used to discover trends and profiles. This enables building diverse useful applications for our modern society. This project is a collaboration with the industrial partner ACME Engineering Products, which manufactures sensing technologies.
In automatic casting applications, the aim is to accurately recognise facial regions that correspond to a same actor appearing in a movie to produce described video. In particular, this project will focus on challenging tasks of capturing and modeling the facial trajectory for each person appearing in a movie in order to predict when/where the principal actors appear. This is a challenging task because recent movies are typically high quality and faces are often occluded and their appearance varies significantly according to pose, illumination, blur, etc.
Managing complex, fragmented, and high volume portfolios of data that are generated during the lifecycle of buildings poses major challenges for the Architecture, Engineering, Construction, and Operations (AECO) industry. Required information during the operation and maintenance phase of a building’s lifecycle is usually lost (or not transferred) at information handover stages, and extensive rework should be done to revive them. This projects aims to identify lifecycle information requirements for the operation and maintenance of buildings.
This research project will focus primarily on the analysis of information systems technology adoption in order to improve the design of information systems and the process used for their implementation. More preciously, the main objective will be to investigate the adoption of information systems designed for human resource management in order to identify improvement opportunities for the partner’s software solution and implementation process.
The objective of the proposed project is to evaluate the use of additive manufacturing technology for the fabrication of wind-tunnel model parts featuring static pressure channels. The long-term aim of this research to devise an innovative manufacturing process that reduces the cost and lead time required to fabricate aerodynamic wind-tunnel models. The suggested methodology is to test the transient response time of pressure channels manufactured with additive technology and to compare it with those manufactured using classical machining.