Prédiction d’un indicateur de performance de ligne de production

Le passage des entreprises à l’industrie 4.0 à pour but de propulser la productivité, réduire considérablement les coûts de production et d’améliorer grandement la qualité des produits. Le projet a pour but de démontrer à l’entreprise partenaire que l’utilisation de modèle prédictif d’apprentissage machine afin de prédire un indicateur de performance (KPI) de ligne de […]

Read More
Understanding and designing the female pelvic anatomy, a measuring device and an intravaginal device using 3-dimensional modeling techniques and Artificial Intelligence

Pelvic Organ Prolapse (POP) is a condition 1 in every 10 women is diagnosed with. The current non-surgical treatment for POP is an intravaginal device called pessary which has a 40% failure rate as its shape is not fitted to the female anatomy. Poor pessary design and performance arises from the limited data that is […]

Read More
Validation of Giatec Corrosion Detection Device on a Full-Scale Reinforced Concrete Bridge Deck

The project is designed to verify the performance of Giatec iCORTM hand-held device for non-destructive assessment of deteriorations in concrete structures caused by corrosion. Various laboratory experiments will be conducted using iCORTM at the University of Ottawa on a corroded concrete testing slab. The results will be validates against those obtained by accurate corrosion assessment […]

Read More
Self-Sustainable Wireless Sensors and Base-Stations Powered by Leaky-Energy Recycling and Harvesting from High Voltage Power Lines

The increasing complexity of large power distribution networks (PDN) has suggested that real-time monitoring systems (CMS) become crucial for both daily operation and emerging research. Future smart grids are expected to be assisted by but also operate for a vast number of sensor and actuator nodes. Such sensor/actuator nodes will demand a more consistent and […]

Read More
CONCEPTION ET FABRICATION D’UN BANC D’ESSAI POUR UN RÉCOLTEUR D’ÉNERGIE PROVENANT DU ROTOR D’UN HÉLICOPTÈRE

La récolte d’énergie (“energy harvesting” ou “energy scavenging”) a connu une croissance importante au cours des dernières années. C’est le processus de récupération de l’énergie (voir Figure 1) des sources externes (solaire, thermique, éolienne, acoustique, mécanique/cinétique, etc.) et de conversion en électricité utile à petite échelle. Dans l’industrie aéronautique en particulier, la conversion d’énergie vibratoire […]

Read More
CONCEPTION ET FABRICATION D’UN BANC D’ESSAI POUR UN RÉCOLTEUR D’ÉNERGIE PROVENANT DU ROTOR D’UN HÉLICOPTÈRE

La récolte d’énergie (“energy harvesting” ou “energy scavenging”) a connu une croissance importante au cours des dernières années. C’est le processus de récupération de l’énergie (voir Figure 1) des sources externes (solaire, thermique, éolienne, acoustique, mécanique/cinétique, etc.) et de conversion en électricité utile à petite échelle. Dans l’industrie aéronautique en particulier, la conversion d’énergie vibratoire […]

Read More
Improved Unsteady Aerodynamic InfluenceCoefficients

Currently Bombardier Aerospace uses the Doublet Lattice Method (DLM), incorporated into a structural solver, to perform aeroelastic calculations such as flutter. This method is able to provide very good results in the subsonic regime, but looses accuracy in the transonic regime due to the high non linearity of the flow. A methodology was developed where […]

Read More
Development of a data processing and machine learning pipeline using non-invasive diffuse reflectance spectroscopy eye imaging for Alzheimer disease screening

Alzheimer’s disease (AD) is a progressive neurodegenerative disease and is currently the most common cause of dementia, affecting approximately 50 million individuals worldwide. RetiSpec has developed a non-invasive, label-free retinal imager that can uniquely detect and quantify AD biomarkers – namely, signatures of A? aggregates. The combination of hyperspectral imaging and machine learning may be […]

Read More