Developpement d’un outil numerique amallorant la versatilite des impulseurs en vue dereduire Ie nombre de pompes intermildiaires, et conception d’un plus gros impulseur pour les pompescentrifuges mult

Pour des constructeurs des pompes hydrauliques, la conception, la fabrication et la caracterisation des pompes centrifuges presentent toujours un grand defi. Une meilleure fabrication de ce type des pompes exige une determination avec precision de tous les parametres cies des composantes de la pompeo II s’agira, dans Ie cadre de celie proposition de recherche, de […]

Read More
Characterization of antiviral coatings: Wetting studies and efficacy

There is an urgent need to develop antiviral coatings that would be applied to functional surfaces such as personal protection equipment (PPE) and others to arrest the spreading of COVID-19. In this project, the University of Waterloo researchers will work with industry partner, SiO2 Innovation Labs, to develop an optimal composition of such antiviral coating […]

Read More
Enhanced Content-Based Similarity Detection for Book Recommendation

Recommendations is one of the main ways Kobo users discover content on the platform. By using purchase history, Kobo can suggest other books similar to a certain item. However, this does not provide meaningfulrecommendations in some cases, especially for bestsellers and fiction books. Currently, only for books that have no purchase history does Kobo supply […]

Read More
Development of a solution to assess the quality and to optimize AI-based video codecs

Current video codecs consider algorithms to analyze video imagery in order to find out which bits can be removed for file size reduction without subjective video frame degradation. Integrating AI with encoding process improves the quality of encoding and decoding. AI permits the software to proactively assess the quality of the encoded video before transmission. […]

Read More
Methods for the Estimation of Traffic Matrices

The accurate knowledge of origin/destination traffic matrices allows network operators to efficiently perform network management operations to maximize network performance (minimize network congestion, average delay, jitter, energy consumption, etc.) and increase network reliability in case of device failures and other exceptional events. However, traffic matrices cannot be directly measured, and network operators, such Videotron, can […]

Read More
Transfert de données anonymes en mobilité à travers la « preuve à divulgation nulle de connaissance »

A-Malgam Technologies Inc. est une entreprise québécoise spécialisée dans le développement Blockchain et IoT pour la mobilité des données massives. Dans un souci d’offrir des solutions plus conviviales et sécurisées à ses membres-clients, A-Malgam souhaite explorer les capacités des technologies émergentes et ce qu’elles peuvent apporter lorsqu’il est sujet de transfert de données anonymes en […]

Read More
Mobile Data Usage & Signal Strength – Manage, Analyze and predict estimated data usage and signal strength to conduct automatic cause analysis using deep neural network and unsupervised learning techniques

Enterprise mobility management enables to collect various metrics from million of devices. This industrial research project focuses on identifying the key performance indicators and formulas to identify and predict coverage issues and identify data usage problems within a device. Using the key performance indicators, the intern will explore all feasible machine learning approaches. Final goal […]

Read More
Personnaliser l’accompagnement de consommateurs dans une plateforme numérique de coaching virtuel

Les Éditions Protégez-Vous souhaitent innover dans la diffusion de leur contenu afin d’accompagner les consommateurs dans leurs choix, en particulier avec une plateforme numérique de coaching virtuel. Une première phase consiste à proposer une plateforme avec le contenu du guide pratique « 100 gestes pour la planète » pour accompagner les consommateurs à faire des […]

Read More
Exploratory pharmacokinetic and preliminary efficacy modelling of select orally administered antiviral compounds following DehydraTECH formulation enhancement

Researchers around the world are racing to find treatment solutions to combat COVID-19, the disease cause by infection of the novel coronavirus (SARS-CoV-2). The use of antiretroviral therapy has recently shown preliminary promise. However, a barrier relates to bioavailability challenges, i.e., poor uptake, of these drugs. Poor bioavailability limits drug utility which could be paramount […]

Read More
Infection and Immunity Screening

The COVID-19 crisis in Canada has transformed from one of containment to one of mitigation, as the disease has begun to spread through the community, slowed by “social distancing.” An ideal mitigation strategy requires extensive testing to determine (i) who has COVID-19, (ii) who has recovered from it (presumably with immunity), and (iii) who has […]

Read More