Tobacco-Concurrent Addictions and At-risk Youth in Ottawa: A Mixed Methods Community-Based Participatory Action Research Project (TCAY-Ottawa)

This proposed research project will aim to understand current attitudes, beliefs, and behaviours related to tobacco smoking and drug use. Based on these findings, an existing intervention for tobacco dependence management and point of care, known as PROMPT will be modified for a non-mainstream youth population. The youth sample undergoing the intervention will be followed for 6 months, and these results will be assessed for reduction and/or quitting of tobacco smoking and drug use behaviours.

A Framework for Assessing Regulations and Initiatives with Goals and Watson Analytics

Regulations are introduced to ensure the well-being, safety, and other societal needs of citizens and organizations. Yet, regulators often have difficulties assessing the performance of their regulations, and whether regulatory initiatives actually improve compliance. This project’s main objective is to investigate the suitability of a framework combining a standardized goal modeling notation with an existing cloud-based analytics and visualization tool (IBM Watson Analytics) for assessing compliance to regulations as well as the efficiency and effectiveness of regulatory initiatives.

NOVA (Network Optimized Video Analytics)

Project NOVA will build on the University of Ottawa and Ciena’s advanced analytics capabilities to allow networks around the world to understand where video flows run over their network.  This will allow the network operators to improve video Qualify of Experience for their end customers, more quickly and cost effectively fix video impacting network problems, plan their networks to better support video, and provide greater customer service awareness of end customer over the top video quality. Ciena anticipates this capability will propel it into be the world leader in network video analytic

ParticipACTION Physical Activity Report Card for Children and Youth and the Global Matrix 3.0: Evaluation and Strategic Harmonization

Global levels of childhood physical activity are declining while sedentary behaviours are rising, leading to the global increase in non-communicable disease. The aim of this project is two-fold: 1. to contribute to childhood physical activity promotion in Canada and worldwide, and 2. to contribute to the international diffusion of the scientific knowledge concerning childhood physical activity.

Opioid Use in Pediatric-Onset Inflammatory Bowel Disease

Patients with inflammatory bowel disease (IBD) have an inflamed digestive tract and experience diarrhea, fatigue, and abdominal pain. Youth with IBD are six times more likely to take opioids than youth without IBD. We are currently in the midst of an opioid crisis. In 2016, there were almost 3000 deaths related to opioid use in Canada. This increased to nearly 4000 deaths in 2017. Since 2001, opioid-related deaths have increased by 345% in the United States. IBD patients taking opioids have a poorer quality of life, regardless of how severe their IBD is.

Network Traffic Classification for Cyber Threat and Malware Detection

Bell’s Cyber Threat Intelligence (CTI) team is collaborating with academic institutions in order to further research and develop cyber security analytics for the protection of critical infrastructure and data. The focus of this research is to create and leverage a traffic classification project specifically for network security purposes. This research to design distributed algorithms fast enough for analyzing massive high-dimensional
data generated by network traffic to detect cyber threats/ attacks and anomaly in the network.

Condition assessment of infrastructure facilities using combined image processing and sensing technologies

As Canada's infrastructure grow older every year, the inspection and maintenance of these capital intensive assets becomes more challenging. Most deterioration mechanism occur over a long period of time. Certain defects remain unnoticed during regular inspection until it is too late. Unfortunately, delayed diagnosis of defects can significantly increase the annual cost of maintenance.
Inspectors and maintenance managers demand innovative methods that help them identify and quantify deficiencies earlier, and more accurately.

Improved pulse pressure approximation and pattern recognition algorithm for prediction of blood pressure-related health issues

Continuous blood pressure (BP) monitor is highly beneficial for detection and prevention of stroke and cardiovascular disease. The most common BP monitor technique still relies on using a cuff that slows the blood flow, which is both uncomfortable and makes continuous monitoring impossible. Furthermore, research has shown that due to the numerous artifacts, the existing cuff-less BP monitoring technologies such as pulse transit time (PTT) and tonometry are not effective.

Electrochemical Impedance Modeling and Optimization of Li-Ion Battery Utility using Active Battery Management System (ActiveBMS) - Year two

In the last decade, lithium-ion batteries (LIB) have become the most popular power sources for consumer devices, telecommunication, energy storage systems, as well as electric vehicles. This type of batteries is indispensable in maintain our modern society. GBatteries have developed an active battery management system (ActiveBMS), which hinders LIB degradation mechanisms, such as the anode cracking and temperature growth by continuously adapting bursts of energy during the charging process.

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