Implementation and strengthening of the community enhancement program to assess theneeds of different residents living at Brightside

The purpose of the project is to assess the housing, community engagement, and social inclusion needs and challenges faced by different residents, many of whom are older adults and are residents in Brightside Community Housing Foundation. Also known as Brightside. A mixed method approach (dempgrahic questionnaire, survey and focus group) will be used in this study. The findings from this survey will guide Brightside’s action plan to improve housing security and offer community initiatives that are tailored to the needs of their residents.

Development of a Borehole Muon Detector for Muon Tomography - Year two

CRM Geotomography Technologies (CRM) has developed detectors that are able to measure cosmic ray muon particles underground. By measuring the rate at which these particles pass through the detectors, it is possible to reconstruct a three-dimensional map of the density of the earth’s subsurface above the detectors. This technique is called muon tomography. CRM’s detectors have been successfully used to search for ore bodies in and nearby existing mines.

Sustainable Funding Models for Watershed Co-Governance

This research project will analyze different funding options for watershed co-governance in the Nicola River watershed in British Columbia. There are ongoing efforts in the Nicola River watershed to develop and implement a co-governance structure involving the Province of BC and five Nicola First Nations. These efforts are made possible by short-term funding that is intended to last over the course of a two-year pilot project. Upon completion of the pilot in 2020, new sources of permanent, long-term funding will be required.

Hey Neighbour Collective

Widespread decline in social capital is well-documented and has been attributed to a range of underlying root causes, from policies regarding the physical design of our neighbourhoods, increasing geographic mobility, shifting away from more localized economies, the complexity of increasing cultural diversity in many areas, to societal beliefs and norms related to individualism. We know these issues touch many of us, however, where you live makes a difference. Levels of social connection are lower in multi-unit buildings than in single detached houses.

Proximity Music System

Video games are highly interactive experience. With modern approaches to game design it becomes impossible to anticipate all the situations a player can ended up in. Building up on research regarding generative music systems at the Metacreation Lab for Creative AI, PhD student Cale Plutt will research, design and implement a generative music system tailored to Inscape VR game. In particular, the music generation will respond to affective state of the games in terms of their valence, arousal and tension.

Redesign and Optimization of SmartRING Strander Facegear and Knife Clamping System

The SmartRING strander was developed in the mid-nineties to address the need in the Oriented Strand Board (OSB) industry for a higher capacity machine over the SmartDISC strander. As the established leader in stranding technology with over 75% market share globally, Kadant Carmanah is always looking to improve its technology in ways that result in improved strand quality, availability rates, and/or safety. The investigation into new clamping mechanism has the potential to impact all three of these key areas of improvement.

Embedding Project

The Embedding Project is a public-benefit research project that relies on strong social science research methods to bring together thoughtful sustainability intrapreneurs from across industries and around the world, and harnesses their collective knowledge to develop rigorous and practical guidance that benefits everyone. This internship will offer an MBA student the opportunity to gain experience in both practice and research, while learning from leaders in the field.

Data Analysis and Consolidation for Aircraft Parts Manufacturing

Avcorp Industries provides the world’s leading aircraft manufacturers with supply chain solutions and repair support. Yield optimization, predictive maintenance, and equipment calibration are needs that are widespread throughout the manufacturing industry. The root cause of failures in product testing is often difficult to determine particularly when the failure signals are sparse relative to the available background data. Compounding the problem, the process must meet a variety of specifications for multiple customers simultaneously.

Machine-Learning-Based Artistic Photo Manipulation and Stylization on Mobile Devices

Recent advances in using machine learning for object recognition and image manipulation have resulted in a new and emerging market for mobile applications that use machine learning for creating a variety of new artistic expressions. This research will develop a framework for performing machine-learning-based photo and video manipulation on mobile devices with the goal of integrating it with the Generate Toolkit. This proposal follows previous MITACS internships between the same partners and further extends our objectives.

Impairment screening utilizing biophysiological measurements and machine learning algorithms

In this project, a comprehensive testing station for impairment screening will be implemented. The station includes an eye testing goggle, movement detectors, biophysiological measurement sensors, and an integration algorithm to integrate the result of measurement to diagnose the status and type of impairment. The hardware technology resides at the industry partner while this project is focused on implementation of data gathering and data storage platforms, feature extraction and selection algorithms and machine learning algorithms to quantify levels of impairment.