Why do young Canadians not vote at high levels in elections? Are young Canadians simply apathetic and disengaged, or are they finding new ways to participate in Canadian democracy? What role do the Internet and social media play in youth political engagement? This project responds to these questions, drawing on an innovative research design that […]

Nova Scotia Power Inc. provides programing for customers seeking to procure and install heat pumps at their homes. By enabling the installation of a high-efficiency heating solution, heat pumps help customers lower their heating bills. There are also many potential benefits for the Province of Nova Scotia, including potential to reduce household greenhouse gas emissions, […]

Reliable measurements of carbon cycling are challenging. Eddy covariance is the technique used by a global network of researchers that measures the net fluxes of gas to and from an ecosystem. However, there are issues with gaps in data under certain environmental conditions. Eosense’s eosFD forced diffusion chamber technology allows for long-term, remote and off-grid […]

With worldwide efforts to increase the utilization of renewable energy, traditional power distribution networks are being transformed into active distribution networks with the interconnection of distributed generation. The status of DGs connected to an active distribution network can change frequently, and this creates many challenges to network protection. The aim of this project is to […]

À l’occasion du Sommet international des coopératives 2016, des coopératives forestières provenant de divers pays participeront à une rencontre sectorielle ayant pour thème « Pour vivre de nos forêts de façon durable ». Elles seront invitées à réfléchir sur la valeur ajoutée et les défis du modèle forestier coopératif et à échanger sur les possibilités […]

This four months internship project is to help Bristol Machine to flexible redesign a mechanical linked bucket for hard rock mining application with less time, money, failure, resource, materials cost and increase product quality, flexibility, productivity, and performance for various worldwide customers’ needs in mining industry. The proposed method will be computer-aid design, engineering, FEA […]

This infrastructure will allow new servers to be automatically deployed and configured for use as private game servers, while also monitoring their performance and usage statistics. By using the novel predictive models, which are to be developed in this proposed project, new virtual servers will be automatically created and added when the traffic levels require […]

Well-being problems (e.g., burnout, depression, and efficacy) have been a long standing issue among educators in Early Learning and Care (ELC) settings. This issue not only impacts the health status and work performance among educators, and by association influences the social and emotional development of children. To address this problem, a coaching model has been […]

L’objectif du projet est de concevoir un algorithme pour repositionner dynamiquement la flotte de taxis électriques de Taxelco. L’algorithme prend la forme d’un problème d’optimisation qui vise à minimiser le temps d’attente des clients. Pour ce faire, le modèle considère la demande prévue, l’autonomie limitée des véhicules, la circulation, la position des centres de maintenance […]

Ultrasound technology is widely used in medical diagnosis area. Its non-invasive, high resolution, no side effects and other features make it popular. The ultrasound sensor is the critical component and its performance decides the signal quality. A good sensor can stand the environment noise and supply high signal noise ratio (SNR) signal to the processors […]

Grizzly bears represent a valuable economic, ecological, cultural and symbolic resource for British Columbia. In order to preserve this resource the current population of brown bears needs to be monitored to ensure the health of the population. One marker of health is the genetic health of the population. Genetic monitoring can also tell us important […]

Monte Carlo simulation methods are commonly used as a risk management tool to estimate the risk exposure of financial asset portfolios. However, the traditional brute-force Monte Carlo (BFMC) method is often very timeconsuming, which makes it difficult to serve the risk management needs of modern insurance industry. An alternative approach, the least-squares Monte Carlo (LSMC) […]