Adapting Automatic Speech Recognition to In-Ear Microphone Speech

Traditionally, speech is captured from in front of the mouth. Existing an Automatic Speech Recognition (ASR) are all made to work with this type of speech. However, noise and other factors can be detrimental to the performance of ASR systems. When using an in-ear device that blocks the earcanal, a microphone can be placed inside […]

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Improving user experience with a social gaming platform: Identifying and adapting to significant user traits and behaviors

This project will involve using statistical modeling and machine learning techniques in order to identify significant factors that exist in user interaction logs collected from a social gaming system. Next, these factors will be used to inform, implement, and test an adaptive platform for managing and improving behaviors that relate to user experience and/or user […]

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Fathers’ use of parental leave and flexible work arrangement policies: Towards a relational understanding of work-family well-being

The benefits of parental leave and the necessity of flexible work policies such as flexplace and flextime are well known. To date, parental leave and flexplace/time –– both critical levers for remediating gender inequality in parenting and child rearing –– are examined separately by scholars of work, family, and social policies, and gaps remain in […]

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Analysis of Salmonid Spawning and Rearing Habitat in the Seymour River in North Vancouver, British Columbia

Salmonid populations are increasingly challenged by interruptions in watershed connectivity, and limited access to critical habitat. For spawning and rearing, salmonids require diverse habitat features, including gravel beds and large streamwood. However, many watersheds are deficient in large streamwood and gravel, in part due to dam structures limiting downstream transport. Therefore, there is a need […]

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Deep learning-based application for construction and mining industries exploiting drone data

Drone technologies become more robust, and easier to use across important civil sectors, such as construction and mining, with the assurance to deliver unparalleled performance and consistency in every operation. However, one of the significant challenges in integrating drones into civil applications is related to data; i.e. lack of standards for high-quality data collection, complexity […]

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Techno-economic assessment of operating grid-scale super-capacitor energy storage for a wind power producer

Battery and energy storage units are one of the main sources of backup power in modern power systems to support the renewable power generation deficiencies in meeting the load demand. In recent years, the advancements in the charge/discharge efficiency, low cost, and long life of super-capacitor energy storage (SCES) technology have challenged conventional battery technologies. […]

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Development of High-Performance Additively Manufactured Wicks for Two-Phase Heat Transfer Applications

The objective of this project is to leverage the design freedom offered by additive manufacturing (AM) to create and high-performance capillary structures optimized for two-phase heat transfer applications (e.g., heat pipes). Moreover, compared with conventional heat pipe systems, these wick structures can be directly fabricated as part of one-piece AM metal parts and housings, allowing […]

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Mapping Building Conditions – perhaps a bit more – for what purpose

Despite advancement in asbestos education and knowledge, there remains a shortcoming in area of management of asbestos exposure, which results in human health impact. This shortcoming was documented in a study carried out in Minneapolis, Minnesota (Alexander et al 2012). Alexander and colleagues examined the population exposed to asbestos and looked into evidence of lung […]

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Blackbox optimization applied to Design of Experiments

The pharmaceutical industry relies on a process known as batch manufacturing to supply their goods to the public. Each batch takes time to ends, involves many parameters and is very expensive. Quality tests are performed at the end of each batch. The calibration of parameters is a crucial task and Design of Experiment (DoE) is […]

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Caractérisation de levures pour la production de bière faible en alcool et leur capacité à promouvoir la réduction des aldéhydes.

Les bières faibles en alcool ont souvent un goût de moût résiduel. Ce goût est causé par certains aldéhydes; des molécules qui proviennent du brassage de la bière et du touraillage du grain. Heureusement, durant la fermentation, ces aldéhydes peuvent être transformés en molécules aux arômes agréables. Ce projet s’intéresse aux différents facteurs qui peuvent […]

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