Anomaly Detection in Highly Noisy Signals from Electrical Rotating Machines

Equipment failure is the primary source of unplanned downtime in industries working with rotating electrical machines. Fault detection at the early stages is an essential solution for reducing this downtime. Condition monitoring of machinery is the process of capturing and monitoring parameters such as vibrations to identify a developing fault. This project uses the data […]

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Modeling and optimization for designing smart freight platform

This research is motivated by the need to coordinate matching and pricing decisions in resource sharing platforms. In general, matching decisions can be seen from different standpoints of shippers, carriers, and the platform. We are particularly interested in investigating the matching problem considering all standpoints simultaneously, which has not received much attention in the literature […]

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Criterium Group Fall 2021

Criterium Group will support the Energy Client in transforming operations and determining the most sustainable and economic decarbonization technologies to utilize at The Asset. The Asset site has important characteristics that facilitate bridging to the new technological solutions being pursued as well as beneficial infrastructure, integration, and geological attributes that could improve the feasibility and […]

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Cloud Technologies, Operation and Training Project with Ocean Supercluster

CARIS is leading a project with the Ocean Supercluster for the development of new innovative cloud technology for delivering CARIS software applications in a Software-as-a-Service (SaaS) model. CARIS tools used worldwide for the processing and management of hydrographic data will be deployed over cloud services, lowering the capital costs through a SaaS subscription business model, […]

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Innovative Economic Model Development for the Ferryland Courthouse

In an effort to assess the long-term operation of a newly restored heritage building in the Town of Ferryland, this project will provide a detailed analysis and recommendation for potential building uses that will help to grow the economy in Ferryland, as well as the surrounding Irish Loop region. As part of the project, the […]

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Developing a Field Deployable Assay System for Environmental Monitoring

There are currently over 9,000 potentially contaminated sites in Canada that require environmental assessment. The Field Deployable Assay (FDA) is a simple and cost-effective method for performing accurate environmental monitoring and site assessments. The FDAs are composed of a stationary main body and a variety of interchangeable cartridges. These cartridges act as miniature greenhouses, easily […]

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An Enhanced Micro-Suspension System

VueReal is currently developing LED technology that requires transfer of devices during fabrication to other sites. However, these devices are fragile. During the transfer process, an unacceptably large number of devices are damaged due to failures in their suspension systems. This reduces the fabrication yield and therefore increases production cost. It is not obvious whether […]

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Data & Reporting Analyst

Learners.ai is pioneering the application of a new approach for financial services and eCommerce firms to scale their products/services and accelerate revenue using a data-driven approach. The project “Scalable Reveune Operations for Learners.ai” is aimed at implementing the go-to-market strategy for a scalable Revenue Operations service created by Learners.ai after successfully delivering results several clients.

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Presence of SSAT-1 as a marker for early diagnosis and monitoring of cancer

Cancer is one of the leading causes of death worldwide. In Canada, cancer accounts for 30% of all deaths, and half of all Canadians will develop cancer in their lifetime. Many cancers can be prevented or controlled through early detection, but the availability of such tests is scarce and a reliable general biomarker for different […]

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Communicating outcomes of future what-if scenarios for municipal climate action

This project communicates interactive cross-sectoral data about how municipal planning policies related to urban form may address both climate action and urban livability. The research generates numerous measured future what-if scenarios for neighbourhood-scale changes to population, population density, built form, building energy, mobility, urban greening. This project addresses a problem of communication by designing and […]

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Towards Automated Recommendations for Taxonomy Expansion

The partner organization is building a knowledge graph to integrate the knowledge in the SharePoint documents/pages of each domain, which will be used as the central information base to support various information retrieval tasks such as intelligent chatbots that can automatically identify relevant information. A critical element of the knowledge graph is a taxonomy of […]

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