Automated integrity control of industrial tools using X-ray Computed Tomography (CT)

To prevent accidents and reduce risk checking the integrity of industrial tools is very vital in some industries such as oil and gas facilities, Nuclear powerplants, aerospace industries etc. These inspections are generally done manually by hand and visual inspection. Which is both time consuming and error prone. Inspection of some complex tools might require disassembling of the tool to get view if the inner components. But the mentioned industries require their systems to run maximum time possible and minimize the outage time.

Examining Equity, Accessibility and Inclusion Stakeholder Experiences in an Ontario Non-Profit Membership Association

The QCC is a membership association for those working in and retired from the public service sector in Ontario, and is eager to increase equity, diversity, and inclusion (EDI) within its organization and for its membership. To do that, QCC is partnering with a research intern who will gather and analyze information about QCC from documents, its staff, membership, and Board of Directors to determine what barriers and gaps QCC faces to increasing EDI within its organization.

Behavioral mapping Using Machine Learning and Natural Language Processing to Predict Individual Behaviors and Team Dynamics

This project tackles the issue of knowledge incompleteness and lack of domain coverage in resume and job posting matching caused by the exploitation of domain-general resources. A variety of co-operative semantic/ontological resources will be used to filter out irrelevant resumes. A two-way (candidate to job and job to candidate) semantic-based automatic suitability ranking is proposed. The suitability is determined by the semantic distance of resumes and job postings, evaluated by their word embeddings.

Flood and drought prediction, simulation, and monitoring for the City of Terrebonne

The increasing frequency of flooding has driven research to improve near real-time flood mapping from remote-sensing data. In Quebec, in
the spring of 2017, several regions experienced severe flooding caused by consecutive record-setting rain events during snowsmelt from early
April to mi0-d-May. The current project aims to provide real-time monitoring tools not only for flooding but for drought as well, i.e.,
visualization and simulation tools using both remote sensing data, but also data collected from an Internet of Things network.

Quantum and Silicon Photonics Library for AIM photonics

Quantum computing (QC) is expected to deliver the next leap in information technology, with anticipated impacts as significant as the development of silicon integrated circuits and the Internet. Photonic QC provides the advantage of a scalable platform based on silicon manufacturing. Industry has recognized the potential of a purely photonic approach, as being pursued by Xanadu (Toronto, Canada) and PsiQuantum (California). However, photons don’t last long while travelling in silicon waveguides, meaning it is difficult to perform many quantum operations before the photons are lost.

Meta-information Extraction from Large-scale Streaming News for Entity-level Media Intelligence and Reporting - Year two

Gnowit is an Ottawa-based information services company that employs artificial intelligence and machine learning to automate the process of monitoring web sources at scale to provide real-time briefings and notifications for the purposes of competitive intelligence, evidence-based policy research and media monitoring. The company currently monitors more than 40 thousand web sources and generates atleast 1.2 million fully analysed documents daily.

Battery Management System for Lithium Polymer and Solid-State Batteries

Energy storage systems (ESS) are vital components in the power grid to ensure the reliable performance of the power grid integrated a considerable amount of renewable energy resources (DER). ESSs are employed to compensate for the unexpected changes in DERs and shift load during peak hours. ESSs are complex structures consisting of several series and parallel connected battery cells. Battery cells may have different characteristics due to the ambient temperature and aging differences. As a result, the operation limits of each battery cell vary.

Optimal Energy Storage for 5G Network

The telecommunication industry is rapidly evolving towards providing faster services to accommodate the global surge in network demand. The next-generation (5G) network aims to increase the current network speed by more than twentyfold. This transition brings enormous benefits for the economy and society. A main challenge faced by network providers, however, is that the existing infrastructure cannot fulfill the new requirements of the 5G network. For example, the future 5G small cells need to be more powerful than the conventional 4G network architecture.

Wearable Ultrasound Technology for Cardiovascular Health Monitoring

The proposed research concerns the construction of a computer simulation environment for the artery phantom with cardiac cycles and ultrasound signals obtained using our novel wearable ultrasound sensor (WUS) technology when monitoring the cardiovascular health. It is difficult to assess health indicators of the artery of a living subject experimentally for comparison with those estimated using our WUS and associated software.

AI-Enabled Satellite Communication Networks

Due to the fast mobility of LEO satellites, ground users need to switch between LEO satellites frequently to keep the connection with the satellite network. The process of switching between satellites is called the handover process. Every handover process is associated with signalling overhead, processing delays, and data packet losses. The optimization of the handover process is crucial for an efficient and resilient satellite network. In this regard, intelligent resource allocation can reduce the handover rate while maximizing the network utility and ensuring the satisfaction of users.