Living More with SMART Technology: Exploring the feasibility, usability, sustainability and scalability of SMART solutions to support increased quality of life in Continuing Care.

Older adults value autonomy and independence as key features of healthy aging. SMART technology has enormous potential to foster healthy aging and independence by combining elements of gerontology and rehabilitation with technology to create solutions for disability related to impairment and/or aging. The goal of Living More with SMART Technology (LivMoreSMARTech) is to support technology […]

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Technology Advancement in existing AED

In Canada, approximately 40,000 out of hospital cardiac arrests (OHCAs) occur annually. Survival rates are under 15%, and the only treatment is immediate use of an Automated External Defibrillator (AED), coupled with CPR. This project will focus on finding solutions to identified problems associated with locating and using an AED. Some of these solutions will […]

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Seafloor characterization between Tadoussac and Baie-Comeau from Lidar data acquired by the Canadian Hydrographic Service

The Canadian Hydrographic Service (CHS) has been mapping Canada’s coastline since 2017 using an airborne remote sensing technology called LIDAR. LIDAR technology uses lasers to generate high resolution maps of the topography of the land and the seabed bathymetry. The objective of this project is to use the LIDAR data to improve understanding of marine […]

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Day and night location planning for general practitioners

Primary care plays a vital role in the health care system. Challenges in accessing primary care is a growing area of concern globally, with demonstrated negative patient and health system outcomes. Patient and physician preferences for both location and daytime/afterhours access differ. Determining the location of primary care practices that meet the needs of both […]

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The impact of governance on cemetery trees: A comparison between the cities of Malmö, Sweden and Halifax, Canada

The human population is increasing, as is the number of individuals living within cities. This is increasing the demand for infrastructure, which cities are now attempting to meet through densification instead of urban sprawl. However, densification is threatening the quality and extent of urban greenspace. One atypical form of greenspace, urban cemeteries, may be better […]

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Student Intentions Study – 3 Years Later

This project will provide some insights into the change or durability of student intentions and perceptions in the province with regard to key skilled trade and ocean industry careers, and provide evidence of progress (or not) relating to coaching, awareness building and teacher development initiatives that have occurred during the three years between studies. This […]

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Edge Response of Understorey Plants, Lichenivorous Gastropods and Their Grazing Impact on At-Risk Lichens in Mixedwood Swamps

Clearcut logging and acid deposition affect plants, lichens and slugs (lichen consumers) and may facilitate the introduction and spread of alien invasive slugs, which can increase grazing pressures on at-risk lichens. The main research goal of this project is to improve our understanding of how clearcutting practices affect herbs and slugs and facilitate both the […]

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Investigations and Analysis of Industrial Internet of Things Ecosystems

Rimot monitors, controls and provides insights into remote critical infrastructure through the use of enabling technologies such as data analytics, security and advanced networking. Critical research areas in data analytics, security and advanced networking are beneficial for the creation of unique intellectual property and commercialization opportunities for Rimot. This project will focus on the investigations […]

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Exploring predictive analysis models to improve online sales performance

Faire Child Makewear Limited (“Faire Child”) is a Nova Scotia start-up company created to design and market a line of fashionable and sustainable children’s outerwear. Faire Child developed an opertalization plan in collaboration with an outside consultant in December 2017. Despite having executed the plan as designed, the activities that were undertaken did not result […]

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Adversarial Examples and Uncertainty

While neural networks can classify images with very high accuracy, it was shown in 2013 (original paper by Szegedy et al) that it is also possible to make very small perturbation to an image so that the network misclassifies it (e.g. so that a panda is classified as an airplane). Many variations of this effect […]

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