Détection de compromission dans un réseau IoT

L’entreprise StreamScan Inc. produit un « système de détection de compromission » ou (compromize detection system ou CDS), une solution de sécurité innovante, de nouvelle génération qui permet d’identifier l’ensemble des systèmes informatiques (serveurs, équipements réseau, etc.) piratés dans une infrastructure TIC. Ce projet a pour objectif d’adapter le produit CDS au contexte de l’Internet […]

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Intelligent High Voltage Bushing System Analysis and Monitoring

It has been demonstrated in the previous research that monitoring only one point as the sole region of insulation degradation is not sufficient for operational safety of high-voltage bushings. Therefore, monitoring a wider volume of the high stress region inside the bushing using ECT sensing becomes a necessity for earlier detection of defects. In this […]

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Securing IoT in Transportation Applications using Blockchain

The proposed solution will address IoT security challenges by using the blockchain technology to create feasible trust mechanisms. We will develop a solution by which exchanged information remains trusted and confidential to be handled efficiently at different places, and we will apply it to a smart transport use case.

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Exploring a Sca!able Rule Based Architecture in Semantic Matching

The on-line dating industry currently has over 1400 different sites, including known sites such as eHarmony, Match.com and LavaLife, however, research indicates a general dissatisfaction in the quality of relationship matches generated by these sites. The research proposal will investigate the use of rule based semantic technologies in providing accurate and higher quality matching service. […]

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Application of Neural Speech Synthesis Techniques to Improve Lyrical Audio Recordings

2012 marked a pivotal milestone in the field of neural networks. The intersection of general purpose computing using Graphics Processing Units (GPUs), labelled big datasets, and very large neural networks (called deep neural networks) enabled a break-through in machine learning that has led to impressive results in many fields and applications, such as self-driving vehicles […]

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Full-body Modeling and Tracking for Embodiment in VR Dark Rides

Real-time full-body tracking based on single or multiple commodity depth sensors are an integral part of many applications such as motion transfer in 3D games, 3D virtual and augmented reality, and human computer interaction. The proposed project directly derives from practical needs expressed by the partner organization, DreamCraft Attractions (Victoria) in developing fully immersive VR […]

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Multi-Perspective Text Analysis of Social Knowledge Networks

Knowledge workers (i.e., researchers, business consultants and analysts, research-program managers) produce documents (research publications, analysis reports, opinion pieces, calls-for-proposals, and blog posts) through which they express their knowledge and opinions. They also read and review similar documents, produced by individuals and organizations in their domain of interest and expertise, to keep current with their domain. […]

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Understanding and Improving Knowledge Flow in Software Organizations

Software teams and organizations use various tools — either by design or appropriation — to manage and share knowledge. Software engineering practitioners recognize that good documentation and effective knowledge sharing are critical to the success of a project and also to developer productivity. Yet, writing and maintaining documentation is often an afterthought for software engineering […]

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Understanding and Improving Knowledge Flow in Software Organizations – Year two

Software engineering practitioners recognize that good documentation and effective knowledge sharing are critical to the success of a project and also to developer productivity. Yet, writing and maintaining documentation is often an afterthought for software engineering teams. What is more, managing knowledge or spending time to share information with others is typically not part of […]

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Application de l’apprentissage automatique pour l’analyse de données dans le contexte Industrie 4.0

Le Centre de recherche industriel du Québec (CRIQ) a pour mission de contribuer à la compétitivité des secteurs industriels québécois et à la croissance des organismes en soutenant l’innovation, la productivité et les exportations. Dans le cadre de ces deux sous-projets MITACS, nous allons explorer comment construire et exploiter des modèles obtenus par apprentissage automatique […]

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