The research will look at how the ‘thisforest’ program advances the proposed traceability of timber, to provide a value-add to relevant industry stakeholders, including members of Be Wood and the Be Log & Timber Building Industry Association . The determination needed concerns the social and contextual value-added from forest traceability and how same will create […]

Electrical heating of oil sands allows for production in situ in a mode similar to conventional liquid oil production. This avoids disturbing and redistributing the overburden and production sands. A further advantage of electrical heating is that the power consumption can be matched to the availability of sources such as wind power.

Malgré les efforts consacrés à la détection des problèmes de sécurité dans les systèmes informatiques, de nombreux défauts s’échappent sur le terrain, provoquant de graves défaillances et d’énormes pertes financières. Pour identifier la nature des problèmes, les développeurs de logiciels s’appuient fortement sur l’analyse des journaux (logs), générés lors des exécutions du système. Les logs […]

Ocean industries and researchers need the on-site oceanographic and environmental data, but collecting that data is costly, challenging, and time-consuming. Unmanned surface vehicles (USVs) offer a promising solution for marine data collection. Equipped with oceanographic sensors, cameras and communication devices, the USV Data Xplorer developed by Open Ocean Robotics can voyage for extended periods thanks […]

For the past six years, Ecotrust Canada has managed a group licence for FSC Canada (http://ecotrust.ca/ fsc) . This group licence allows smaller woodlot owners and chain of custody businesses to have FSC certification at a much lower cost. The program has proven to be very successful but has not yet reached a break even […]

Activation of the immune system is necessary for defense against pathogens and injury, but just as important are the processes to turn this inflammatory response once the infection or injury has been resolved. Inappropriate prolongation of immune cell activation results in inflammatory diseases such as inflammatory bowel disease, asthma and arthritis. The University of British […]

L’objectif principal est de mettre à disposition de notre partenaire industriel Bodyform3D des outils informatisés innovants afin d’améliorer et d’enrichir leurs technologies (plateforme d’acquisition et de modélisation 3D) pour répondre à des besoins dans le domaine médical avec une application pour le traitement en urgence des grands brûlés ou pour la mensuration de sujets pour […]

Despite the advances of Machine Learning, the models are still being considered black-boxes that are difficult to diagnose and explain. The model performance diagnostic measures are critical to the assessment of the model’s relevance, accuracy and robustness. Good models’ performance is the primary enabler of their successful deployment in real-life applications. However, even if the […]

Realistic driving experience in motion simulators is a key element for the impressiveness of the VR based simulators. In the driving simulator the free motion of the vehicle is mapped to a motion platform with limited workspace by filtering out the motion and scaling it down with a motion cueing algorithm. These algorithms should be […]

Developing a drug for new diseases cannot only be challenging but also time consuming. From the identification of a druggable target to a compound which can improve a condition it usually takes more than 12 years. Since there is basically an infinite number of possible compounds which can be turned into a drug it is […]

Idiopathic pulmonary fibrosis (IPF) is a chronic and fatal disease lung disease with unknown cause. There are limited treatment options for IPF and investigations into new treatment options is needed. BOLD-100 is a clinical-stage small molecule that is currently being investigated as a treatment option in oncology and viral infections. The pathway that BOLD-100 impacts, […]

The project aims predict the demand of customers for small and medium size businesses. Forecasting models will be developed analyze historical data to understand patterns and correlations. Machine learning will be applied to determine how the accuracy can be improved over existing statistical methods, such as Fourier Regression Analysis which is commonly used in retail […]