The purpose of this project is to develop an original model for evaluating TOBFG’s suppliers on the basis of environmental, social, and/or economic criteria. TOBFG has several initiatives to implement its corporate social responsibility (CSR) strategy. The research will focus on helping TOBFG align its CSR strategy with its supply chain management practices, particularly as […]

The Nova Scotia Liquor Corporation (NSLC) is a crown corporation and the sole purveyor of alcoholic beverages in the province of Nova Scotia. As part of their commitment to Corporate Social Responsibility (CSR) the NSLC is looking to update their sustainability targets of their environmental management plan (EMP). Now in the third year of a […]

Le secteur de l’aluminium se hisse au deuxième rang en terme d’exportation au Québec. Les règles du libre-échange apportent une plus value importante aux produits exportés, par exemple, lorsque ceux-ci peuvent bénéficier de droits de douane avantageux, voir nuls. À ce titre, les accords commerciaux régionaux de libre-échange permettent à l’industrie de l’aluminium de tirer […]

The agriculture industry is a labour intensive industry. Using a reliable method of plant monitoring can greatly help farmers to reduce their labours and consequently their production costs. Creating an accurate 3-D model of each plant or vegetable provides farmers with more information about the growth stage of the plant which helps them to make […]

Nous sommes certains qu’un potentiel remarquable d’innovation et d’intervention pour littéralement supprimer le mazout comme option énergétique au Québec est existant. Mais il faudra être capable de monter un modèle, idéalement plusieurs modèles d’affaire, pour motiver la conversion tout en considérant les réalités locales. Nous pensons que beaucoup de données sont facilement récupérables ici et […]

Search is an important way people get the information they want. Whether we want to find more content about a specific topic, or get general information on a subject, search engines lie at the core of this process. At Flipp, search plays a crucial role in the overall user experience and drives relevant content to […]

In this research, we propose a model learning documents to fixed-length embedding vector space. This is meaningful, because in vector space, we can find similar documents or measure the relations between documents by simple linear algebra calculation. One of state-of-the-art methods is to apply deep Convolutional Neural Network on language sequences and thus learn different […]

The proposed study will develop seismic design guidelines for retrofitting deficient concrete bridge columns with sprayed fiber reinforced plastic (FRP). Seismically deficient bridge columns (with different aspect ratios and transverse reinforcement ratios) retrofitted with composites will be tested under reverse cyclic loading. The tests will determine various damage states in terms of strain and drift. […]

Steel production in a modern steel rolling mill involves many steps. A hot rolling process typically starts from a reheat furnace to heat the cold metal to high temperatures (800 to 1000 C or above) so that the softened metal take different shapes when it is pressed. The end products will be used to make, […]

This project is dedicated to the development of a new business corpus as a novel data for the company’s business intelligence. It focuses on linguistic pre-processing for the business domain using two types of collected corpora: text and speech. An automatic annotation of the pre-processed business corpus will be completed using labels related to sentiment […]

This project aims to provide evidence and research support to BGCBigs in the implementation of their Building an Evaluation Framework and Capacity for Sustainability project. BGCBigs recognizes that achieving their goal of ‘supporting our children and youth on the path to success’ depends upon an organization committed to evaluative thinking, learning and utilization of evidence […]

The proposed research project aims to increase the accuracy of a model used to predict future glucose levels 1 hour ahead of time, with ~90% accuracy. This model should be able to detect, ahead of time, situations where the blood-glucose level is either too high or too low which could lead to complications for the […]