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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Fédération de données par le biais de technologies du Web sémantique

Bassetti offre à ses clients la solution Teexma®, un outil collaboratif permettant de faire la gestion des données techniques des entreprises industrielles. Cet outil permet de structurer, capitaliser et diffuser les données techniques, mais il n’offre pas de fonctions pour faciliter le recoupement de données provenant de sources différentes. Or il s’agit d’un facteur crucial […]

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A Context Aware, Lightweight, and Adaptive Authentication and Authorization

With increasing security risks in critical network infrastructures and emerging cloud technologies with shared capabilities, as well as increasing regulatory requirements on privacy, and data protection, there is a growing need for new approaches to manage security and privacy compliance. The main related challenges are (a) context-aware and fine-grained security enabling efficient real-time enforcement of […]

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