Élaboration d’une méthodologie d’identification du contenu à valeur ajoutée au sein d’une organisation dans un contexte de système de gestion de contenu d’entreprise.

Avec l’augmentation exponentielle de la quantité de contenu tels que les documents, les fichiers etc. qui est généré chaque année au sein des entreprises, celles-ci font faces à d’importants défis en matière de gestion de contenu. Une des questions importantes que les organisations se posent à cet effet concerne l’identification du contenu à valeur ajoutée.

METO

METO est une plateforme intégrée d’accélération de croissance pour les organisations qui désirent générer des résultats valorisants de manière organisée et amusante. METO accompagne notamment les dirigeants d’entreprises dans leurs décisions à travers l’exécution de leurs stratégies. Or, avant même d’être un outil, METO est un projet de recherche multidisciplinaire, à la croisée de l’informatique, de la psychologie, de la gestion des affaires et de la théorie des jeux. Les recherches concernent principalement l’informatique décisionnelle et les méthodes de ludification (gamefull design).

Système de détection automatique de graines de résineux pour l’évaluation de l’efficacité d’un semoir

Dans le but d’améliorer le taux d’ensemencement d’un semoir pneumatique de graines de résineux, un système automatisé de vision par ordinateur permettant la détection automatique des graines de semences de résineux permettant ainsi l’évaluation en temps-réel de l’efficacité d’ensemencement du semoir sera développé.

Dynamic Light Redistribution Algorithm Advancement for High-Dynamic Range Digital Projection

This project will investigate and develop advanced algorithms for high dynamic range projection using caustic image formation. These algorithms dynamically redirect light from dark image regions to bright regions, which addresses the problems of low peak luminance and poor black levels in current projectors. The algorithms will improve upon existing lensing methods by increasing computational efficiency and improving contrast. This project will produce viable algorithms for light redistribution in cinema projectors.

Acoustic Feature Extraction and Sparse Representation of Neck Fluid Volume (NFV) in Patients with Obstructive Sleep Apnea (OSA)

Obstructive sleep apnea (OSA) is common in 10% of adults and is associated with increased cardiovascular morbidity and mortality. Furthermore, there is a 3-fold increase in OSA prevalence in fluid retaining patients such as those with heart failure. Evolving evidence suggests that fluid accumulation in the neck could narrow the upper airway (UA), increase its collapsibility, and contribute to OSA worsening.

Quantum Annealing Techniques for Efficient Graph Analysis

This research investigation aims to assess a set of well known NP-Hard problems that are currently only solvable with an approximation, and prototype implementations of a general solution to their class of problem previously developed by 1QBit. This requires a series literature and prior art reviews, prior to the development of new algorithms and code which will deploy an analog optimization process as part of their solution.

Detection of Coalition Attacks for Online Advertising

As the Internet has become part of people’s daily life, online advertising has also been more and more popular for its instant global communications. Of a number of factors on the cost of the advertising, a major consideration is the number of views of the ads, clicks to the ads, and conversion generated by the ads. Publisher fraud is the action that generates invalid traffic to the ads by inflating the number of views, clicks and conversions.

Visual History for Scheduling Behaviour

Actenum produces scheduling software (Actenum DSO) that computes project schedules based on user defined criteria, constraints and desired KPIs (Key Performance Indicators). The software represents schedules using Gantt charts. A user of Actenum DSO enters activities and the constraints between them and then runs an optimization algorithm to produce a schedule. Actenum has found that their customers have challenges understanding what their schedule optimization algorithm is doing.

Genetic control of Reproductive Longevity in Mouse and Validation of a genetic marker panel to predict Fertility and Longevity traits in Holstein Dairy Cattle

Reproductive Longevity (RL) is a complex biological trait under the control of many genes. In Cattle, RL is a key productivity factor, especially for dairy cows. The proposed research aims to identify RL-controlling genes in mammals using: 1) a unique model system, selectively-bred mouse lines that reproduce twice as long and have twice as many litters as matched control lines and 2) cattle (bulls) with High or Low genetic merit for Longevity. The project Partner, Performance Genomics Inc.

Development and testing of an on-line video game to teach second languages

Copernicus Studios Inc. (CSI; Halifax, NS) is developing LANGA – disruptive LANguage GAming software to help people learn new languages. LANGA uses advanced speech recognition and high-end animation to create a unique and engaging gaming experience. However, LANGA is more than just flash – it has been developed in partnership with the NeuroCognitive Imaging Lab (NCIL) at Dalhousie University. This industrial-academic partnership was forged to ensure that the training programs are informed by research in second language learning, and that LANGA’s effectiveness has been validated in the lab.

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