Dynamic Simulation for Data-Driven Logistical Control of Iron Ore Material Streams

The Canadian iron industry will benefit from increasingly streamlined data to support operational decisions, particularly as their steelmaking clientele is transitioning toward carbon-neutral steel production. The iron ore required for carbon-neutral steelmaking is especially high grade, in accordance with the DRI-EAF steelmaking route. Key operational decisions include the formation and depletion of stockpiles for different […]

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Quantum-enabled feature selection for metabolomic and biometric data analysis

Metabolomics is the study of the complete set of small molecules in the human body. Analyzing metabolomic and biometric data is critical in order to detect, predict, and simulate changes in the health conditions of a patient, providing the opportunity for preventive and personalized medicine. This is generally done using machine learning, but it is […]

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Market research and advancements in new undercarriage photography technology.

Glo 3D, a Toronto-based technology startup, is pioneering a game-changing undercarriage photography technology to revolutionize vehicle inspections. Inspired by automotive industry demands, their mission extends to diverse sectors such as trucking, heavy machinery, military, and government inspections. Tackling challenges head-on, they’re conducting comprehensive research across industries to tailor their business strategy and pricing models accordingly. […]

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A leading economic industry: Creating a consultant hub for the Cannabis Sector

Rhize is a consulting and fertilizer company that is determined to provide quality products and services to those who would like to advance their growing capabilities. Our aim is to become a one-stop-shop for every grower large and small for any service need. A major challenge in the Atlantic Canadian cannabis market is the lack […]

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Telops : Télédétection de méthane

Telops a développé une solution complète pour l’inspection aéroportée de détection de méthane. Cette solution, basée sur la caméra hyperspectrale infrarouge thermique HCAM (Hyper-Cam Airborne Mini), a un volet important de traitement des données. Les données acquises lors de vols d’inspection sont sous la forme d’images de radiance spectrale et d’images visibles, le tout géoréférencé. […]

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Using CityEngine for Parameterized 3D Modelingof Regional Growth Scenarios

In 2006, the Government of Ontario introduced “Places to Grow: Growth Plan for the Greater Golden Horseshoe” to control urban sprawl, protect farmland and green spaces, create complete communities and revitalize downtowns and urban centres. Key specifications include minimum intensification targets, such as requiring 40% of new residential development to occur in existing built-up areas. […]

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Management and treatment of wood preserving wastes for environmental remediation and energy generation: Waste-Water-Energy Nexus.

In the modern period of the Industrial Revolution, enormous emphasis is placed on green technology, including zero or less waste production, recycling resources, and using recyclable raw materials. According to the UN’s Sustainable Development Goals for a peaceful and flourishing world, materials science research focuses on recovering techniques and proper waste control are essential to […]

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A proposed hybrid machine learning model for fault-type classification and detection in a 10 MW wind farm based on synchrophasor and weather data

Incorporating renewable energy sources, such as wind and solar farms, have posed a challenge to electrical engineers due to their intermittent nature as the time and amount of energy generated depends on the weather. For this reason, grid stability and predicting the behaviour of renewables has been increasingly more important. In this study, we propose […]

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A Novel Solvent-free Approach for Production of Bean Protein Fractions

The fast-growing market demand for food products with high nutritional qualities requires innovative and sustainable technologies. The proposed process employs an electrostatic technique to selectively charge proteins, carbohydrates, fibers, and other components in the bean flour and separate them based on the magnitude and type of their charge. The proposed methodology produces protein-rich flour from […]

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Probiotics in endurance exercise performance

The gut microbiota comprises all bacteria inhabiting the intestines and has been shown to play a significant role in both health and disease. Although previously overlooked, new research shows that both the gut microbiota and their metabolites may influence exercise performance. Probiotic supplementation has been shown to have a small but significant positive effect on […]

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Building a soil organic carbon field sampling protocol for the Wabanaki region

One of the greatest challenges in monetizing forest carbon for climate change mitigation (i.e. carbon offsets) is in understanding the different carbon “pools”, and being able to accurately quantify them. The soil carbon pool is perhaps the greatest pool of forest carbon, and poorly understood. The objective of this project is to design a forest […]

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