Leveraging Historical Development Data to Prioritize Software Testing Efforts

Ericsson Ottawa develops cellular base stations that are components of cellular networks marketed by Ericsson. The base stations serve as the interfaces between mobile devices (cell phones) to wired networks and the internet. These network products require high reliability and availability, which results in the need to perform extensive testing on expensive hardware, replicating complex […]

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Evolved Radio Access for Wireless Cellular Communication Systems

The continuously increasing demand for wireless access, driven by the increasing requirements of our connected society, is pushing current wireless cellular communication systems to the limits of their capacity. The objective of this project is to continue the successful collaboration with our industry partner (Telus Corporation) to further contribute to the evolution of current generation […]

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Evolved Radio Access for Wireless Cellular Communication Systems – Year Two

The continuously increasing demand for wireless access, driven by the increasing requirements of our connected society, is pushing current wireless cellular communication systems to the limits of their capacity. The objective of this project is to continue the successful collaboration with our industry partner (Telus Corporation) to further contribute to the evolution of current generation […]

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Stochastic Strategies for Addressable Advertising

Recently, the nature of media advertising has changed dramatically due to the introduction of highly efficient addressable advertising models. The latter have the ability to deliver different ads during one advertising spot to the viewers of same network, depending on household demographic profiles. The new models provide industry with the opportunity to maximize advertising revenue […]

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Stochastic Strategies for Addressable Advertising – Year Two

Recently, the nature of media advertising has changed dramatically due to the introduction of highly efficient addressable advertising models. The latter have the ability to deliver different ads during one advertising spot to the viewers of same network, depending on household demographic profiles. The new models provide industry with the opportunity to maximize advertising revenue […]

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Robust identification of protected heath information in unstructured data

A large amount of health-related data is available only in unstructured form (“free-form text”). To share this data for secondary purposes, it is necessary to de-identify it to protect against inappropriate disclosure of personal health information (PHI). PARAT Text is Privacy Analytics’ de-identification software for unstructured data. It automatically discovers and marks PHI in a […]

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Recurrent Neural Networks for Video Similarity Metrics and Video Captioning.

The objective of this project is to develop a system that provides video recommendations to the user based on the content of the video they are currently watching. Existing methods generally create their recommendations based on the title or tags of the video or on the viewing patterns of other users who have watched the […]

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Modeling of Current Collapse and Gate Leakage Phenomena in AlGaN/GaN HEMTs

AlGaN/GaN high electron mobility transistors (HEMTs) have emerged as promising candidates for high breakdown, high power output, and high operating temperature applications. However, there are several problems that hinder its practical use such as current collapse and high gate leakage current. Most of available studies use analytical formulas and only analyze a certain aspect. Physical […]

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Centre for Operations Excellence Industry Projects 2015

The Centre for Operations Excellence Industry Projects consists of five sub-projects sponsored by four different industry partners. Each sub-project represents an important challenge for its sponsor. These sub-projects include using analytics to optimize sawmill production for Interfor; production planning for Tree Island; developing text-mining techniques to enable WorkSafeBC to predict and prevent workplace accidents; using […]

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Recognition of Vehicles in Satellite Views

The intern shall endeavour to develop a vehicle detection system for aerial satellite views with a reasonable accuracy and a reasonable execution time for a small urban area of 100 sq. km. The intern first will train, test, and evaluate a machine learning engine to automatically recognized the vehicles of interest in aerial satellite imagery. […]

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Interactive visualization tool for managing advertising campaigns

The goal of this research is to investigate, design and evaluate user-adaptive visualization systems, which personalize interaction based on the individual needs of a given user. In order to achieve this goal, a visualization system is required as a starting point with which to carry out this research. As a first step, this research aims […]

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