Variational methods for pipeline safety and data analysis

This project will explore the non-invasive ways to find potential leaks in buried gas distribution pipelines using sound propagation. When there is a sound source at one point of the pipeline, the nature of the sound coming to another point of the pipeline will depend on the properties of the surrounding soil, properties of the […]

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Pricing and Resource Allocation in Edge Computing

The emerging edge computing (EC) paradigm promises to deliver superior user experience and enable a wide range of Internet of Things (IoT) applications by bringing storage and computing facilities closer to the end users. Virtualization technologies such as Software-Defined Networking (SDN) and Network Function Virtualization (NFV) will allow sellers and buyers to access the open […]

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Development of next generation vision sensor with coded multi-exposure pixel and compressive sensing based readout

Vision sensor is essential components in sensor applications of industry 4.0 such as autonomous vehicle, Internet of Things (IoT), Neural Network. The main goal of this research is to study, design, and develop a new concept of computational vision sensors called “transport-aware”. Unlike conventional vision sensors which record all incident light, transport-aware vision sensor can […]

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Visual Models and Knowledge Design for Media Studies

Drawing upon emerging practices in Digital Humanities, this research project aims to focus on visual models for the analysis of large corpora in Media Studies. Visual models differ from other types of data-based models in the way they make visible a set of relationships through a process of knowledge design (Schnapp 2014), rather than offering […]

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Improving the Accuracy of Data Loss Prevention Systems

Scotiabank employs teams of cybersecurity specialists across its global operations and partners with a variety of external organizations to prevent and investigate any electronic attempts to gain access to the Bank’s data. At the same time, employees are continuously educated and expected to look for warning signs and efforts to infiltrate that data as well. […]

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Le musée face aux enjeux d’une expographie et médiation culturelle numérique participative. Élaboration et expérimentation d’un prototype d’Application de réalité virtuelle autour d’un corpus d’œuvres d’art du Musée des Beaux-Arts de Montréal et de sa plateforme ÉducArt.ca.

Soyez au cœur de l’expérience muséale! L’Application ÉducArt en VR invite l’usager à découvrir de manière innovante toute une série d’objets et d’œuvres d’art de collection issus du Musée des Beaux-Arts de Montréal, et à participer, en collaboration avec le musée, à la construction de cette exposition virtuelle. Cette “réappropriation patrimoniale” et gamification de la […]

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Perceptions of autism, culture, and personhood from parents of children with autism and from colleagues delivering services to children with autism

Values, attitudes, and beliefs regarding disabilities vary across cultures and within cultures and these factors have an impact on the perspectives of the child’s parents and prioritizing their needs. Although Korea was greatly influenced by Western countries in special education, it has a relatively short history compared with other developed countries. Research found that autism […]

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Integration of Machine Learning with Distributed Temperature and Acoustic Sensing to Build Data-Driven Dynamic Reservoir Model

This project will develop practical workflows, algorithms and programming codes for inferring unknown reservoir properties from distributed temperature and acoustic sensing data. In-situ pressure and flow conditions can be interpreted from downhole fiber signals gathered in real time, which are used to estimate unknown heterogeneous reservoir parameters continuously. Machine learning methods will be incorporated to […]

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Quantum autoencoder as storage device

The Quantum Autoencoder was proposed as a device which can compress quantum states efficiently. One possible application on near term quantum devices would be the compression of quantum data in order to protect it from decoherence effects. The compression however, also introduces noise to the quantum states so that it will not always be beneficial […]

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