A data visualization framework to leverage text and knowledge graphs

The goal of this work will be to explore different ways to visualize and interact with knowledge extracted automatically from very large heterogeneous document collections. This extracted knowledge will be in the form of a multi-attribute graph of extracted entities and relationships between them. These relationships will be associated with both temporal and spatial information. […]

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Mobile Application Support for an Outdoor Agriculture Expo’s Temporary Cluster Functions

The Agriculture and Agri-Food System of Canada (AAFS) is an important component of the Canadian economy. Outdoor agricultural shows have moved from their simple marketplace roots to places that facilitate increased productivity, accelerated innovation and business formation. Central to these functions is the geographic concentration of stakeholders. With the growth in show size, supporting effective […]

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An Artificial Agent for Light Switch

Smart home devices with artificial intelligence (machine learning and deep learning) will change our lifestyles in the near future. The objective of this project is to develop an artificial agent, which will power the smart light switches produced by ecobee. The artificial agent, a machine learning program, will use the data collected by the sensors […]

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Recommendation system for retail shopping

People rely on recommendations from other people, friends’ word, news reports, and travel guide and so forth. Recommendation systems assist people to sift through available books, web pages, restaurants, and grocery products. [16]. We want to build a recommendation flow in the retail industry to serve Canadian citizens better. The system will understand the customers […]

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Stage de formation professionnelle en édition et recherche en archives

Le projet de recherche d’Olivier Séguin-Brault comporte trois volets : 1) un stage de formation en édition où il s’initiera et collaborera activement à toutes les étapes de la production, de l’impression et de la diffusion de la revue scientifique “L’Année rabelaisienne”; 2) un stage de recherche dans les archives de sept bibliothèques spécialisées de […]

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Smart Grid Diagnostics using Power Line Communications

Power Line Communication uses the existing infrastructure of electrical power lines for high frequency data transmission. The availability of such power line communication modems across the grid, which are typically used for enabling smart-grid connectivity, also gives us the opportunity to extract insight into the nature of the grid. This includes investigating the health of […]

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Natural Language Understanding and Generation

NLP techniques have been used and tested for several years in different environments and for different applications/domains. The performances of the Natural Language Understanding (NLU) toolbox are closely related to the quality of the text but also on the specific knowledge-domain. Social Media content typically use short sentences with simple grammar and tend to include […]

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Tokens, cryptocurrencies, and cash: new forms of currency and the establishment of their value in the platform economy

This project explores the use of new forms of currency and revenue models in the context of online platforms, looking for their different economic and symbolic implications. By looking at an adult website that broadcasts amateur sexcams, this research asks how money – tokens, crypto currencies and traditional currencies, are experienced there, querying their different […]

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WP 3.1.2 Next Generation Product Cost Tracking

Ciena would like to drastically improve its ability to track, analyse and forecast the cost of products. Building on experience with the current tool suite and business practices, Ciena aims to develop a next-generation product cost analytics solution that will run on its existing IT infrastructure and allow capture, analysis and modeling of historical as […]

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Théorie PAC-Bayésienne pour l’apprentissage de réseaux de neurones profonds

De nos jours, l’analyse des données est au coeur de plusieurs nouvelles technologies, surtout avec l’arrivée de l’ère du « big data » et l’essor du « deep learning ». En effet, les réseaux de neurones profonds appliqués à des données massives révolutionnent certains domaines comme la vision, le traitement de la langue naturelle et […]

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Efficient and low-complexity video coding for virtual reality and 360-degree video streaming – Year two

Virtual reality (VR) and augmented reality (AR) offer a unique immersive video experience by providing 360-degree video in a panoramic view. Limited bandwidth, demanding high quality, encoder delay, network latency and lack of standards are the main problems to deliver true VR immersive experience. To address these challenges, in this research, we intend to design […]

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