Utilisation par un intégrateur-système d’outils d’optimisation afin d’améliorer l’allocation des bois entre industriels

Le processus de planification des approvisionnements dans le secteur forestier est souvent effectué manuellement, basé sur les expériences et les intuitions des planificateurs. Cependant, cette méthode limite la quantité de variables, d’objectifs et de contraintes dont il est possible de tenir compte. La grande diversité des paires origine-destination et des produits, le morcellement du territoire […]

Read More
Direct and Selective Electroless Metallization of low-cost 3D Printed Composite Filaments Loaded with Metals to Enhance Surface Properties

The selective and direct metallization (electroless plating) of low-cost FFF 3D printed objects will be investigated in this research project. After 3D printing, the workpiece will be directly subjected to the electroless plating process (skipping the etching and catalyzation steps). We show that conventional low-cost conductive composite filaments loaded with metals can be used for […]

Read More
Optimized lighting and defoliation strategies to increase yield and chemical uniformity in Cannabis sativa

Cannabinoid uniformity plays an important role on the quality and marketability of cannabis. Several strategies to optimize cannabinoid uniformity have not been extensively researched to date. The objective of this study is to evaluate lighting and defoliation strategies to maximize yield and uniformity of cannabinoids throughout cannabis plants. A randomized block design will be used […]

Read More
Solar-driven H2 production by photovoltaic-electrochemical water splitting

Presently, it is significant to reduce CO2 emission and other greenhouse gas emissions. One of the major CO2 emission contributors is transportation sector. To reduce emissions and achieve a zero-emission society, the use of H2 as a fuel in ground, air, and marine transportation, a feedstock in petrochemical industry, and an energy carrier for energy […]

Read More
Inspection of Bridges in Ontario for Damage Detection and Rehabilitation

This Mitacs project will undertake bridge inspections of 33 road bridges in Ontario to determine locations and level of damages in these bridges and suggest appropriate rehabilitation techniques to keep these bridges in service. The data collected will be added to the current pool of similar data already collected by the industry partner, MEDA to […]

Read More
Robot control using artificial intelligence for high diversity and low volume production sites

NeuroBotIA aims at tackling problematics of manufacturing SME such as the shortage of qualified workers. Currently, Canada is facing a labor shortage of 39% which will increase overtime due to younger generation interest in professional job and population growth decrease. Therefore, NeuroBotIA will develop technology to alleviate labor shortage using intelligent robots. This project aims […]

Read More
AI-based Model Predictive Control for Energy Management in Smart Buildings using Wireless Sensor Networks

The purpose of this project is to make use of the AI algorithms to enhance the energy consumption related to indoor heating ventilation and air conditioning (HVAC). The project involves collecting data using wireless sensors network, developing thermal dynamic model of a building, and developing Model predictive control (MPC) solver that reduced the energy consumption. […]

Read More
Characterization of ionomer properties of the catalyst layers of polymer electrolyte fuel cells (PEFCs) Year Two

The state-of-the-art polymer electrolyte fuel cells have catalyst layers (CLs) made of Platinum catalyst on carbon support (Pt/C) bound together by proton-conducting polymer or ionomer. To overcome the challenges of high cost of Platinum catalyst ad corrosion of carbon support, alternative materials for catalyst and catalyst support are being considered. The interaction of ionomer with […]

Read More