Develop data analysis software for improving operation management in making drinking water for small and rural communities

The project is to develop a middleware system for improving drinking water management system. The middleware integrates multiple data sources in addition to the real-time network data, including information of weather from satellite/ radar and water quality of surface water from remote sensing and then analyze them. It's smart algorithms will predict and prioritizes events depending on the severity of the problem.

Public Perceptions on Shared Micromobility

As shared micromobility services (e.g., e-bikes, public bike shares, e-scooters) expand, there are uncertainties in how these will integrate with our current transportation systems. This project aims to examine public perceptions of micromobility in Metro Vancouver to understand the potential for shared micromobility in the region. Using surveys, focus groups, and case studies we ask: Who are the potential users of shared micromobility? What are the barriers and facilitators for use of micromobility? What is the potential for integration with transit services?

Measuring entanglement in quantum magnetic systems with strong long-range correlations

D-Wave systems purports to have designed a quantum processor based on scalable architecture that physically implements quantum annealing, an algorithm that can be used to solve a wide variety of optimization problems. In order for D-Wave devices to exhibit a performance advantage over classical processors, it is necessary that the devices utilize a resource that is inaccessible to any classical algorithm. This resource is generally associated with quantum entanglement.

Development of an IoT-enabled Controlled-environment Indoor Plant Growth Prototype

The proposed project will establish an echo-system consisting of various environmental sensors and actuators and how they can be integrated to build a prototype indoor garden for demonstration purposes. Through utilizing IoT-enabled sensory data from image and environmental sensors, one can obtain relevant information about plant growth in real-time or use the data for a posteriori analysis. The large number of generated data will be used to create mathematical signatures that can be used for a variety of applications such as detecting anomalies in the growth process.

Progress on Quantitative Analysis for OCT Angiography

The light-sensing portion of the human eye, called the retina, is a highly complex structure that is nourished by several layers of small blood vessels. Diseases that lead to blindness, including Diabetic Retinopathy (which affects approximately one third of people with diabetes), often damage this network of blood circulation, causing changes to manifest in specific regions within the retina. Optical Coherence Tomography Angiography (OCT-A) is a relatively novel technology which can be used to visualize the retinal microcirculation in three dimensions.

Personalizing gamification strategies to improve young adult life skills training. Part 2; support worker needs analysis and design of clinical interface

Facing Dragons is a mobile health game that gives quests and challenges to young adults (17-29) to help them figure out what to do with their lives, gain an empowered sense of self and unlock their purpose in life.

One of the key research innovations in this game is the addition of a special interface for support workers and caregivers that helps them get to know the young adults they work with.

Affect Recognition of Human Players in VR Games

Recent research has shown that people can perceive which affective state one is in simply by looking at body movements (without facial expression). Because of this, it has been possible to train machine learning algorithms to automatically recognize the affect of users from their body movements, to be used in human-computer interaction. This project consists in trying to adapt and deploy the same type of algorithms in a VR environment, where only partial movement information is available (hands and head positions of the user).

Predictive tools for membrane durability in fuel cell applications

Fuel cells are a clean energy technology that generates electricity without harmful emissions and uses hydrogen as the fuel in place of oil. As fuel cell electric vehicles are deployed globally on a significant scale, it is critical to ensure high levels of operational durability and reliability, equal to or exceeding that of incumbent engine technologies. The proposed project addresses the durability of the membrane, which is one of the key components of fuel cells.

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.

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