La technologie des ‘sound zones’ (zones sonores, ou zones d’écoute privatives – ZEP) fait partie de la catégorie globale des technologies d’écoute personnelle, qui permet aux gens de créer des expériences d’écoute individuelles. Par contre et par rapport aux technologies basées sur les écouteurs, les zones sonores n’exigent pas que les personnes utilisatrices en portent […]

Quand une goutte d’eau tombe sur une structure, elle produit du bruit. On veut se concentrer dans ce stage sur les signaux sonores liées produits lors de l’impact de gouttes sur la structure solide, et l’extraction d’informations pertinentes concernant la force d’impact de la goutte. L’objectif spécifique est de déterminer si, en partant d’une mesure […]

As global demand for clean energy rises, hybrid renewable energy systems (HRESs) integrating solar, wind, and energy storage offer opportunities to reduce reliance on fossil fuels. However, the operation and management of HRESs remain a significant challenge due to the inherent variability of renewable resources, technological limitations, and the complex interaction among system components. Therefore, […]

In this proposal by assessing the assumptions/data used to impact regulatory credits in programs such as BC-LCFS and the federal CFR, the LCA models will be refined to be more representative. This research will build on past Parkland/MITAC’s supported work which tracked the “green molecules” distribution both within the refinery and in the final fuel […]

The proposed project focuses on developing a business and go-to-market strategy for PoseidonPulse, an advanced AI-powered water quality monitoring system designed to improve sustainability and operational efficiency in Canada’s aquaculture industry. By continuously tracking essential water parameters, this system enables aquaculture farms to proactively manage water quality, supporting healthier fish populations and optimized farm performance. […]

Overview and Main Activities of the Partner Organization The partner organization is dedicated to enhancing urban environments through innovative solutions. One of their primary activities is developing decorative photobioreactors to improve air quality and provide aesthetic appeal in urban areas. Innovation Challenge or Improvement Priority The partner organization faces several challenges: • Urban Air Pollution: […]

Our project integrates AI-driven Simultaneous Localization and Mapping (SLAM) with cutting-edge 3D reconstruction techniques to provide precise localization and high-fidelity 3D visualizations of underwater features. This fusion enables accurate measurement of size, depth, and spatial orientation of anomalies, enhancing inspection precision. By adopting this technology, industries can improve inspection accuracy, streamline maintenance, and reduce operational […]

This project aims to develop an AI-enhanced autonomous underwater vehicle (AUV) system designed to track Steel Catenary Risers (SCRs) in real time. Accurate tracking of SCRs is critical for maintaining the integrity of subsea infrastructure in the offshore oil and gas industry. The AUV will leverage advanced computer vision and machine learning techniques to continuously […]

Our project addresses a critical gap in maritime training, specifically the challenge of developing effective ice management skills in extreme environments. Traditional training methods rely heavily on human instructors, whose expertise is both scarce and costly, limiting the scalability and consistency of training programs. This issue is especially significant in industries like oil and gas, […]

AquaFishSense addresses the pressing issue of outdated and insufficient information available to fisheries, which impedes their ability to operate sustainably and efficiently. Fisheries face significant challenges due to the lack of real-time data on fish populations and aquatic habitats. This gap in information leads to overexploitation of marine resources, with approximately 34% of global fish […]

Kelp forests in the oceans provide considerable ecological benefits but are threatened by global warming, pollution, and human activities. This project aims to monitor kelp forests based on satellite data and artificial intelligence methods, beneficial for marine environmental conservation and climate change mitigation.

With the growing integration of renewable energy into power networks, their dynamic behavior has undergone significant changes. To ensure stability, it is essential to accurately model the dynamic behavior of key equipment, such as synchronous generators and inverter-based sources, within these networks. This project focuses on the implementation, analysis, development, and validation of established models […]