Automating Cloud Data Center Operation

Manual performance, configuration and fault management of Cloud Data Centers is vulnerable to human intervention and therefore subject to human errors. One way to circumvent this problem is to use automation of the Cloud Data Center operations based on advanced technologies which may include Machine Intelligence. As it is known in mobile industry applications/systems are […]

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Using Deep Learning to Auto-tune GPU Application

The fellowship mainly investigates an analysis of the state-of-the-art approaches, design and implementation of cutting-edge deep neural network models to be used on a mobile platform. It explored ways to optimize the deployment of these machine-learning models for prediction tasks on the mobile devices which requires energy efficiency and accuracy.

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Evolving data storage design for a highly regulated financial sector.

Global service providers in highly regulated financial sectors must accommodate an ever-changing, sometimes competing, landscape of regulatory concerns. This project seeks to determine a reasonable path forward in technology design and adoption to accommodate current and anticipated data privacy and data residency concerns, making it possible to keep data within borders while still facilitating collaboration […]

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Kappa architecture serving layer suitability

Global service providers in highly regulated financial sectors must accommodate an ever-changing, sometimes competing, landscape of regulatory and business concerns. This project seeks to define a technology infrastructure design that supports current and anticipated data privacy and data residency concerns, making it possible to keep data within borders while still facilitating collaboration across those borders. […]

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Acoustic and Speaker Modeling Using Deep Learning

There is a rapidly growing need for voice powered human-machine interaction modalities for varieties of devices. Despite enormous investment in research and development in this area by a number of companies, significant limitations remain which prevent the ubiquitous proliferation of speech recognition. These limitations include poor performance in the presence of noise, inability to handle […]

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Deep learning for customer insights discovery from videos

Measuring customer experiences has historically been based on analyzing traditional structured data, which mainly consists of surveying questions/answers as well as evaluating purchases and returns. However, using this type of inherently constrained data alone misses the bigger consumer picture. Deeper insights can be derived from unstructured data such as videos of the customers at the […]

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Low-cost Real-time Multi-constellation GNSS Precise Point Positioning for Intelligent Transportation System (ITS)

Intelligent Transportation System (ITS) enables smart traffic management and provides various innovative services including better safety, more road information, etc., which has drawn a lot of attention. The development of next-generation ITS services and applications must depend on more accurate positioning information at decimeter to even centimeter-level. Such capabilities are crucial because all of the […]

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Intelligent Product Quality Assessment (IPQA) Toolkit

Manufacturing is a main component driving the successful economy in a society. In order to remain competitive in the global manufacturing market, product quality control is critical. High quality product not only expands the client base, but also enables just-in-time correction to reduce the cost wasted in defective products. The goal of this project is […]

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Acceptance Testing Framework for Robotic Software Solutions

Modern robots depend on numerous hardware devices and human interaction in order to perform their task. These dependencies, in addition to the distributed nature of these systems, make automated full-system testing difficult. Current testing practices are insufficient as they only test a single component of the system or require costly manual labor. Many companies have […]

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A Mental Model Approach to Avalanche Risk Communication: Examining Avalanche Bulletin Use and Comprehension

The Avalanche Research Program at Simon Fraser University and Avalanche Canada are conducting a study to examine how winter backcountry recreationists, including backcountry skiers and snowboarders, mountain snowmobile riders and snow shoers, seek and use avalanche safety information. Avalanche Canada and Park Canada publish avalanche bulletins daily to provide backcountry users with information on avalanche […]

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Representing and understanding 3D Objects

Understanding the 3D world around us is a key goal in computer science. If we are endowed with 3D understanding, we can solve problems in several areas in computer science such as robotics, fast 3D modelling and physical reasoning. However, it is not clear how 3D objects can be represented because of the high dimensionality […]

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Using behavioral biometrics to continuously authenticate an individual

The Nymi band is a unique wearable that authenticates the wearer using biometric data to provide continuous authenticated presence in smart environments. Nymi enables wireless user proximity & presence solutions, removing the need for physical interaction with IoT, mobile and computer applications for identification, non-repudiation, personalization and intent for any transactions. Similar to a lot […]

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