Chiffrement basé sur les attributs (ABE) des données privées dans les applications mobiles des villes intelligentes

L’entreprise Métix a lancé début 2016 le produit B-CITI dont la mission est de simplifier la relation numérique entre les citoyens et leur ville, en leur mettant à disposition un ensemble de services transactionnels, informationnels et interactifs leur permettant d’accéder aux services de la ville en tout temps. En tant que mandataire des villes, B-CITI […]

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Voice Transformation for Interactive Digital Media

The main purpose of the research project is to have the student investigate and develop a voice transformation system that modifies waveforms of recorded speech segments to produce multiple different sounding voices for characters within a video game.

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Advanced Particle Hydrodynamics for Film Rendering

In this project, we will be investigating ways of improving the quality of rendered fluids for films. Fluid simulation is an important component in modern films, and we will be building a better fluid simulator capable of simulating more delicate fluid effects (such as water pouring into a glass), as opposed to the larger, more […]

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Using LSA for Automatically Assessing Free Texts

To evaluate the content of free texts is a challenging task for human. Latent Semantic Analysis (LSA) can be used to automate this process. ShirWin Knowledge and Learning Systems Inc. is currently considering two instances of “free texts” assessment problems, one is automatic essay grading and the other is fact verification in a virtual learning […]

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Human Detection from Videos based on Deep Learning

Since the state-of-the-art detection performances are mainly from still images, besides the existing algorithms validation, effective algorithms specifically designed for feature extraction and human detection from videos are expected to be developed or extended from algorithms for general object detection and human detection tasks. What’s more, it will be possible to analyze human actions like […]

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Semantic Information Processing to Improve e-Commerce Shopper Experience

Granify provides a service to stores on the internet that offers promotions, discounts, and information to customers who might need such information or incentives for the store to make a sale. Granify does this by using an artificial intelligence “brain” that guesses when the best opportunity to act to keep that store’s customers happy. We […]

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Embroidery Automation and Optimization for Mass Customization

Embroidery is a very popular art and a method of customization in the fashion industry. The method of embroidery has changed little since the advent of programmable sewing machines in the 20th century. Today, there is high demand for mass customization: consumers want their personalized embroidery patterns on their clothing. Technology already allows consumers to […]

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Real-Time Decision Support System for Stock Trading

Equity trading systems require the trader to constantly make decisions about buying or selling equities quickly in a highly stressful environment. The information is typically confusing, highly dynamic, and imprecise and often conflicts with other information. There is also a huge amount of information that could potentially be used in the decision making process. There […]

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Leveraging data analytics in modern tax function

• Investigating geographical footprints of income shifting by multinational enterprises. PwC owns a large data set across all industries in Canada from its tax consulting engagements and annual standard tax filings from clients. This growing data source is an opportunity for accurate tax benchmarking, trend analysis and gaining deeper insights by transforming them into market […]

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Malicious Traffic Predictive Indicators in Content Delivery Networks: a Big Data Analytics Approach

Content Delivery Networks (CDNs) represent the up-to-date standard to transfer data through on-growing Internet. They are designed to manage traffic streams to avoid network problems. Despite the fact that CDNs attempt to satisfy security requirements (authentication, data privacy and integrity), they face rising innovative threats, observable in the cyber-space. The main objective of this project […]

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