Telecom operators are demanding more flexible, scalable and energy efficient products. As a system integrator managing networks for operators, Ericsson realize that the benefits of using modern and improved systems is becoming even more critical, as they offer a reduced Operational and Capital Expenditure (i.e. OPEX and CAPEX) of Information and Communication Technology (ICT) systems. […]

In recent years, factors like thermal comfort, indoor air quality, and energy consumption in school buildings have received increasing attention. Lecture theatres and chemistry labs pose significant challenges for HVAC design due to thermal stratification in lecture theatres and ineffective ventilation in chemistry labs, caused by large spaces and pollutant generation, respectively. Despite many studies […]

Self-driving cars represent a transformative innovation in transportation, promising safer and more efficient travel. However, their development faces significant challenges, including accurate prediction, path planning, and safe maneuver execution, especially under varying driving conditions. Ensuring safety across all potential scenarios within the operational design domain is paramount. To effectively address this, we propose developing algorithms […]

This proposal aims to develop a robust, low complexity infant cry deep learning classification based on various babies’ responses to physiological needs such as hunger or to discomfort and pain. The significance of this research lies in its potential to enhance early detection of needs and moods in newborns, contributing to improved infant care, early […]

Based on the needs of community partners (Viomax and Adaptavie), we co-developed nine training modules and successfully trained kinesiologists who provide adapted physical activity services to persons with disabilities. Our proposed project aims to co-create and evaluate tools to support the implementation of these training modules within adapted physical activity community-based organizations who provide adapted […]

This project focuses on revolutionizing space communication through the design and optimization of customized conical horn antennas tailored specifically for space applications. Horn antennas are pivotal in facilitating efficient communication in space, offering unmatched versatility in controlling radiation patterns and providing high efficiency. This project aims to optimize horn antenna geometries and design metrics by […]

Initially within the application procedure for searching appropriate combination of care seeker/giver matches it’s observed that user must select a range of options like the type of health care worker (HCW) needed for the job, credentials they require, their estimated rate, distance from the location desired, choosing level of experience HCW possesses, and checking whether […]

The proposed research project aims to address the challenge of accurately detecting and classifying complex driving maneuvers in real-world conditions. Partnering with Matt3r Technologies Inc. in Vancouver, BC, this research will develop a deep learning model that uses multiple types of data, such as dashboard video, to achieve maneuver detection for autonomous vehicles. This innovation […]

Current leak detection methods for water pipelines, such as fixed acoustic devices and Pipeline Inspection Gadgets (PIGs), require shutting off the water supply and are often impractical for field inspections. These methods demand extensive workforce and time and often fail to detect smaller leaks effectively, leading to significant water loss, increased operational costs, and potential […]

The Client Success Story Campaign is designed to boost the marketing efforts of Penrose Partners by showcasing the real-world impact and success of their blockchain consultancy services. Through this project, the intern will gather and present detailed case studies and testimonials from clients who have benefited significantly from Penrose Partners’ expertise. This content will be […]

With the number of opioid-related deaths continuing to rise, the demand for an effective treatment for opioid use disorder (OUD) is growing. While opioid antagonists are effective, compliance is an issue since they induce withdrawal. The botanical compound, TGIR-C is a promising non-opioid alternative that treats detoxification without inducing withdrawal. Further research on its neural […]

Computer Algebra Systems (CAS), with their unique ability to analyze and solve mathematical problems, are gathering new communities of users, who challenge those software systems with more and more complex tasks. It is necessary, therefore, that the core engines of CAS to implement state-of-the-art algorithms. This proposal capitalizes on the research conducted by academic partners […]