Most large companies use software systems that were developed over decades. They comprise systems that are in different programing languages and must all communicate with one another to solve bUSiness problems. As these systems become increasingly large and complex, there is a need to develop tools and techniques to ensure their quality. Current state-of-the-art techniques […]

Dans les recherches récentes en génie logiciel et plus particulièrement en compréhension du logiciel, une grande partie des approches utilisent des techniques issues de la communauté du traitement automatique des langues naturelles. L’utilisation de ces techniques de traitement des langues au logiciel s’est avérée être efficace pour capturer des informations textuelles et sémantiques dans des […]

360-degree video streaming is one key element of many Augmented Reality and Virtual Reality (AR/VR) applications. The computing and networking demands pose great challenges for mobile devices and mobile networks, especially if a mobile device is the video source. The deployment of mobile edge computing offloads computing and networking demands on mobile devices and alleviates […]

This project pertains to the modeling, detection and monitoring of crises in geopolitical dynamiC environments. As risks are inherent to crises, we need tools to cope with the uncertainty factors involved in these situations. The objective of this project is to conduct research activities to support the understanding of crisis situations and to model their […]

Implémentation d’un système simple de contrôle de processus dans un système ExAO incluant des effecteurs. Le didacticiel produit devrait faciliter la programmation par des étudiants de niveau collège d’un système de contrôle avec des instructions simples et explicites.

In this project, we propose the use of blockchains to provide reliability, security, and transparency for collecting and querying IoT data in the energy sector. In particular, we will implement and evaluate our blockchain solution for enabling transactions in local energy markets, where homeowners have the capacity to generate energy (through renewables), stock energy (through […]

FORCE uses hydroacoustic echosounder surveys to evaluate the impact of tidal turbines on marine animals in the Bay of Fundy. FORCE use Echoview software to read in the raw sensor data (e.g. voltages) and convert it to a visual representation. Echoview contains some algorithms to detect the bottom of the ocean. However, the FORCE hydroacoustic […]

The proposed project investigates the extraction of geo-location information from online map services to augment the available attributes of real-estate properties, thereby enhancing model valuation of property sales price. Specifically, five distinct and concurrent objectives are proposed, each undertaken by a separate intern, to explore the feasibility of utilizing different data types retrieved from online […]

The main objectives of this one-year study are to enhance systems in data management and integration in three ways: 1) create secure networks that can support BYOD; 2) create a data pipeline system for ETL; and 3) integrate ML content generation into a content management system. An Agile methodology will be used to plan and […]

When creating a video game, every digital character must be created by professional artists. Their work is very labor intensive because the number of created characters are in the thousands, each of which has multiple visual components that must be created for each one. “Scanning” real actors to create a digital version of themselves can […]

With this project, Nuvoola will propose a whole new process of detection, identification and monitoring of people in its entirety from embedded algorithms within an “EDGE” computer system, with a view to performance, and reliability and precision. The innovation lies in the ability of the application to perform a face and body combination while taking […]

The project entails the creation of a web based application that will monitor sensors on substations. The application will graph data from the sensors with warning thresholds. It will notify specific users via text and email when thresholds have been met. The app will also store sensor data and look for trends using machine learning. […]