Continuous blood pressure (BP) monitoring is highly of assistance for detection of the major public health issue which is cardiovascular problems. Nowadays the BP monitoring technique which are commonly used are mostly using an uncomfortable cuff that makes continuous monitoring impossible since it slows the blood flow. However, measuring continues blood pressures are necessarily and crucial in some cases such as diagnostic of hypertension, for CVD patients, Sleep apnea and etc.
In this project, a vehicle occupancy detection system will be developed for automatic monitoring of HOV (High Occupancy Vehicle) and HOT (High Occupancy Toll) lanes. The system makes use of machine vision along with artificial intelligent algorithms, developed based on deep learning, to detect number of passengers in a vehicle in real-time. The developed technology will enable the industry partner to commercialize this solution in Canada and globally for efficient and enforceable monitoring of HOV and HOT lanes.
Canadian children are currently not meeting the daily amount of physical activity recommended to reduce their risk for negative health outcomes. The RA Centre in Ottawa, Ontario has the resources to offer various sport opportunities to children and recognizes the need to develop programs that are developmentally appropriate and accessible for children with lower physical skill and confidence levels.
CHLNet identified the need for valid, reliable tools to determine the impact of these health leadership development programs. This project will develop a practical, easy to use toolkit to facilitate the measurement of program outcomes and impacts. The toolkit will be pilot tested and evaluated across the country according to defined selection criteria. The finalized toolkit will be electronic and other knowledge produced during the project will be broadly disseminated.
Although inside sales is the fastest growing title in the sales industry with companies hiring inside salespeople at a much higher rate than outside salespeople, little is known about the types of activities that drive their success, particularly the conversion of leads to customers (i.e., customer acquisition). Accordingly, the current project aims to develop a data-driven lead conversion model that incorporates key factors of a selling situation.
Canada?s commitment to the Sustainable Development Goals (SDGs) has implications for both domestic and foreign policy in a complex, shifting, and interdependent global health system crowded with multiple actors and stakeholders. The array of activities involved with global public health practice necessitates engagement with health policy and systems research (HPSR), and Knowledge Translation (KT) is critical to bridging the gap between knowledge generated through research and the knowledge that is used to inform policy, practice, and programs.
This project will involve an evaluation of a program to house people who have serious mental illness, and who have had experiences of homelessness. There will be two parts to this study. First, the study will examine how this program has been implemented. A study of the implementation of the program will provide information that the program can use to improve how the program functions. Second, the study will examine the outcomes for people who are housed through the program. A key outcome to be examined will be whether people who are housed able to keep their housing.
Organic light emitting diodes, or OLEDs have become a common technology in everyday displays such as mobile phones, laptops, and televisions. These types of devices rely on an OLED structure that uses bottom-emission, meaning that the top of the device consists of a non-transparent backplane, and the light and colours generated in the device are emitted through the transparent, bottom side of the device.
Bells 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.
Our vision is to develop fiber-optic high-frequency ultrasound generation and detection system for ultrasonic and photoacoustic imaging in biological and biomedical applications such as intravascular imaging in ICU for patients with real-time imaging and monitoring capability.The research will be conducted with our partner organization iNano Medical to provide the need of the spatially resolved ultrasound imaging, for which better location and identification of cancer cells could be offered using our ultrasound generator and detector.