Many chemicals can be used for the mix design of concrete 3D printing. With a traditional experimental approach, the number of experiments to conduct is exponential. The objective of this study is to develop a cement-based material suitable for 3D concrete printing applications by utilizing optimization and predictive algorithms. The question to answer is if […]

Major efforts have been undertaken to reduce ozone depletion substances (ODS) used in refrigeration systems such as hydrofluorocarbons (HFC). Carbon dioxide (CO2) is recognized as safe, economic and environmentally sustainable. Commercial transcritical CO2 (R744) refrigeration systems have emerged as leading technologies in food retails, especially in cold climate countries. Major research and development challenge is […]

Le partenariat avec l’entreprise a comme objectif principal de répondre à la problématique du traitement des eaux de ruissellement dans un contexte minier. Le projet comporte une extrême variabilité des débits d’effluent à traiter. L’évaluation des solutions d’optimisation se fera en fonction de données réelles. Ce partenariat permettra notamment d’améliorer la captation des métaux par […]

Physics-based simulation has been receiving a great deal of attention as it is of interest for various branches such as the film industry, computer game development, and biomedical research, etc. Especially for the professions that are interested in modeling creatures and producing correlated visual effects such as 3D animation, tissue simulation becomes a principled approach […]

Prefabricated and modular construction has gained popularity compared to traditional stick-built construction, due to its benefits of shortened schedule, increased safety, benefits to the environment, and minimization of an unpleasant outdoor construction activities. In typical prefabricated construction, the building construction project is designed and converted into shop drawings for manufacturing purposes, which are conducted manually […]

The Toronto and Region Conservation Authority (TRCA) use FRANk (Flood Risk Analysis Network), as a post storm decision making tool. This tool uses stream and rain gauge data to aid in managing and maintaining erosion control structures that are impacted by flooding events. However, FRANk has limitations, including a time-consuming rain gauge data collection process, […]

Les larves de Carpocapses et de tordeuse oblique du pêcher sont des ravageurs de cultures (pommes, poires et fruits à noyau). BioTEPP produit un biopesticide efficace contre ces derniers dont l’agent actif est un virus produit in vivo sur les larves. Elles sont nourries à l’aide d’une diète artificielle mimant les caractéristiques de la pomme. […]

Conversational experiences are becoming more prevalent in software applications – from Alexa and Google assistant to Siri and Cortana – though the quality degrades when the automated dialogue agent must refer to or recall specific information. These systems are often forgetful, nonsensical, contradictory, repetitive, or hallucinatory, which impacts the user experience. This project aims to […]

The project is a program evaluation of the mobile application OISEAU: Agents of Nature, designed by the non-profit organization Morning Star Enterprises. Morning Star has developed individual OISEAU applications for six Calgary Parks locations and the launch is the summer 2013.The application is designed to increase children’s exposure and connection with nature, as well as […]

Many retailers are interested in forecasting demand for the products they sell. Deloitte has used machine learning methods to tackle this problem in the past. However, this requires the creation of hand-crafted features based on product sales data, which is a costly and time-intensive process. Using alternative models to perform this task would remove the […]

The primary objective of this project is to implement a product taxonomy model that can reliably categorize receipt item labels to generate more personalized financial insights. Sensibill leverages unstructured receipt data to support personal and business finance management. Reliable categorization of receipt line items into specific merchant categories not only reduces the time for manual […]

With collaboration between the Council of the Great Lakes Region, Pollution Probe and Lambton College, the proposed project is focused on continuing the development of an artificial intelligence visualization tool to enable users to select growth constraints and visualize resulting changes to watershed health, predict how watersheds will evolve over time and prescribe actions to […]