Play for Reality: Conveying Sustainability Challenges Through Game Mechanics

Several Ontario regions have agreed to reduce their carbon emissions by 80% by 2050. However, many of these cities don’t actually have a plan for how they’ll reach this noble but challenging goal. In response, the Waterloo Global Science Initiative (WGSI) (in partnership with several Waterloo Region collaborators) has created a prototype board game called […]

Read More
Conception des infrastructures de transport sur pergélisol instable

Les forces armees canadiennes sont appelees a consolider leur presence eta intensifier leurs operations dans le Nord canadien. La plupart de ces operations requierent des infrastructures (batiments, chemins et pistes d’atterrissage) et une grande capacite de mobilite terrestre. Les environnements pergelisoles qui caracterisent une grande proportion du territoire nordique Canadien sont potentiellement tres instables et […]

Read More
Intelligence artificielle appliquée dans l’industrie du bois

La forêt est une ressource importante pour le Québec et le Canada. Des entreprises d’ici produisent les machines et outils nécessaires à la transformation du bois. Les moulins à scie modernes sont déjà hautement informatisés afin d’optimiser la valeur de la ressource sylvestre, mais il y a place à l’amélioration. Ce projet de recherche développe […]

Read More
Technical Research on Unconventional Resources Development in Canada

Within this project, interns will review the peer-review literature on the four different topics: (1) Liquefied Natural Gas (LNG), (2) Hydraulic Fracturing, (3) Anomalous Induced Seismicity, (4) Surface and Ground Water access, transport, flowback chemistry, conservation, recycling, treatment and disposal after use in hydraulic fracturing operations. The aim of the project is to perform the […]

Read More
Embedded sensor fusion network

Highly accurate 3D object detectors require significant computational resources, and reducing computation and memory load while maintaining the same level of performance is a critical task for any safe and reliable autonomous vehicle. This research project investigates the deployment of an accurate 3D object detection model to a resource constrained architecture by changing the model […]

Read More
Multi-Channel User Linkage through Probabilistic Matching

People utilize multiple devices to complete various tasks, making their online identities fragmented. Advertising is as much about knowing when not to promote a product as it is about when to do it. For example, before being sent alcohol and cannabis ads, the user must be identifiable as being over 19. Age information may only […]

Read More
Innovative wastewater treatment flowsheet development for the high strength centrate from food waste processing facility

Centrate from food waste processing facilities contains higher concentrations of organic matters. Those contaminants (especially ammonia nitrogen) remain in the wastewater effluent after anaerobic digestion treatment, which are the great treat to the environment if not properly treated. Other contaminants (biochemical oxygen demand, chemical oxygen demand, total nitrogen, total phosphorus, suspended solids, etc.) also impact […]

Read More
Real VR Hands and Interaction with Virtual Objects

Serving as the most widely-used body part for communication, hand is a very important tool for human to interact with the world. Especially with the continuing development of virtual reality and augmented reality, hand pose information has gradually become an indispensable component for improving users’ experience in interacting with computing devices. Therefore, this project aims […]

Read More
Express Scripting Technology: Scratch for SOTI SNAP and IoT

SOTI has developed a software product called SOTI SNAP that is designed to allow anyone to create an app with no programming or technical knowledge. SOTI SNAP allows users to drag and drop widgets onto a canvas and connect them together to create an app. Apps generated with SOTI SNAP have cross platform capabilities, they […]

Read More
A General Approach to Interpret and Explain a Deep Neural Network Model

Deep neural networks have demonstrated state-of-the-art modeling accuracy on a wide range of real-life problems, with some cases surpassing human performance. Despite the promise of deep neural networks as an enabling technology for a large number of industries and fields, there are two particular key challenges in the design of deep neural networks in real-world, […]

Read More
An investigation of consensus and performance in distributed systems

Within a tiered or zoned architecture, new business constraints for regional data residency, imply a need for new architectural patterns. These constraints are not arbitrary: they arise directly from customers demand to ensure their confidential data stays within their defined borders unless required otherwise (e.g. data originating in the U.S. is intended for an E.U. […]

Read More