Dans les centrales hydroélectriques, les groupes turbine-alternateurs sont réparés et installés selon un calendrier de travaux. Compte tenu de leur taille, d’autres pièces doivent être déplacées pour accéder aux pièces à démonter, réparer ou à installer. Afin de déterminer le plan d’aménagement des pièces, plusieurs contraintes doivent être respectées : 1) le calendrier des travaux, […]

2,5-furandicarboxylic acid (FDCA), as one of the most promising green chemicals, has found a variety of commercial applications, particularly in the synthesis of polyesters, polyamides, and plasticizers as well as adhesives and coatings. FDCA is commonly produced from pure 5-hydroxymethylfurfural (5-HMF) by selective oxidation. However, pure 5-HMF is by far very expensive, generated by catalytic […]

This purpose of the proposed project is to comprehensively study the effects that nickel (Ni), iron (Fe), manganese (Mn) and nano-scale particles have on the microstructure and high temperature mechanical properties of aluminum-cerium (Al-Ce) based alloys. This research will use conventional sintering and casting processes to determine how varying the cooling rate during casting and […]

This project will allow us to develop a microelectronic chip prototype of an energy-efficient AI processor. The AI processor exhibits a 1000 times reduction in power profile compared to standard cloud-based GPUs. Tasks that can be transferred from server GPUs to this solution and deploying our AI-Processor solution to EDGE can estimate substantial energy savings […]

A critical task towards maximizing productivity in the manufacturing of biotherapeutics such as monoclonal antibodies is selecting the appropriate separation technology or sequence of technologies that meet the purity requirements of regulatory agencies (e.g. Health Canada) and maximize product recovery to reduce the overall cost per dose. The focus of this research project is two-fold. […]

In this project, we build on these preliminary works and explore the capabilities of different machine learning techniques anomaly detections and predictions of network degradation issues. We also plan to develop ap-proaches to help Cable Network Operation teams triage and diagnose cable network issues efficiently. The results of this project will help Cable Network companies […]

Outsourcing of product research and development has been a growing trend in the pharmaceutical industry over the last decade. Allegorical evidence garnered from interactions with clinical research professionals indicate that employees of outsourced firms tend to have lower job satisfaction, morale, and commitment to their jobs than their counterparts working in innovative pharmaceutical companies. This […]

Complex gill disease affects millions of farmed Atlantic salmon on the Pacific coast of North America, each year. This disease results in hundreds of millions of dollaras in lost revenue for the industry, yet there are few tools for early diagnosis of the disease/syndrome and no current treatment/intervention strategies that work to control it. The […]

There has been a dramatic increase in digital well-being products in recent years and there is a market saturated with ineffective user experiences and little to no sustainable, desired behavioural change. By assessing and enhancing the effectiveness of a personalized approach to digital well-being app interaction through machine learning and emotion-driven adaptive computing, we can […]

This project aims to predict demand and inventory shortages for better inventory management in health care institutions. This will initially allow for a reduction in the expenses generated by emergency orders placed during a stock shortage. Indeed, it will be possible for the establishment to order a larger quantity of the product from the supplier […]

Digital Manufacturing is expensive due to the initial capital costs related to the digitally able machines and robots. This entails that the segment of the construction sector that is rapidly adopting these technologies to meet the productivity and ecological goals of the Construction Sector is largely restricted to large businesses – large Architectural, Engineering and […]

TV Whitespace (TVWS) designates the inactive or unused space between TV channels actively used in UHF and VHF spectrum :470 MHz to 700 MHz. The TVWS band performs best in the most rural service areas. This is due to the characteristics of TVWS, and how it’s shared with powerful analog TV stations Such TV transmitters […]