Transmission lines expand over hundreds of kilometers and are the most vulnerable component of a power system to lightning strikes. Damages to equipment, high repair costs, and loss of revenue could happen when the lightning hits the transmission tower or conductors. Tower grounding systems in transmission towers play a major role for mitigating the over-voltages. […]

Advances in quantum computing have Entrust Datacard and their customers concerned about whether the industry is ready to move to post quantum cryptographic algorithms, particularly for PKI use cases. Entrust Datacard and University of Ottawa will test the quantum-readiness of commercially-available PKI. The end goal is to provide guidance to the community about the impact […]

In Montreal, pavement distresses are causing serious problem to the road network with more than half of the road considered in a bad and a very bad shape. Many pavement inspection methods are developed in order to inspect, detect, locate, and classify pavement distresses; however, these methods are not efficient in term of time, cost, […]

Aimed at maximizing the antenna signal of the satellite communication (Satcom) terminal in a satellite system, positioning and tracking methods based on AI are studied in this project. This proposal focuses on the issue of a satellite’s pointing and tracking for a stationary Satcom terminal. The detailed methods includes the following four functional components: 1) […]

To pave the road towards the upcoming 5th Generation of telecommunication standards (5G), we aim to develop a fully integrated solution satisfying the increasing requirements in terms of wide bandwidth, small footprint, and high-power efficiency. Initially, we prepare a fully automated setup to characterize the Gallium Nitride (GaN) Power Amplifiers (PA) considered as key components […]

The candidate will utilize his knowledge and experience in transmission line modelling to implement test cases required for the electromagnetic transient studies. The simulations will be performed using well-known computer packages available at BC Hydro and Power labs at UBC as well as programs written by the candidate to implement the recently developed line model […]

The project deploys and try out a coordination model and platform that helps developers to build smart city applications that run in large scale, dynamic fog computing infrastructure. Fog computing is a computing infrastructure that involves devices across the edge network such as smart phones, smart cars, the access network such as Wi-Fi routers, modems […]

Batteries are becoming popular options for storage of energy at large scales for application in power systems. A battery energy storage system may be developed using batteries of different chemistries and also batteries that are not necessarily at the same state of health. The capabilities of a battery energy storage system are affected by the […]

Dymedso is willing to introduce a new technology for sound-wave generation therapy that addresses some issues identified by patients and caregivers over the past years of use in clinical practice. The identified issues involve ergonomic and performance limitations. For instance, the current version of the device is still cumbersome for patient use. Thus, for more […]

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 […]

Thanks to the rapid development of solar power technology and the effort to use the renewable energy, charging e-bikes from a solar charging station installed in public areas will be a prospective scenario. Depending on the weather conditions and charging station specifications, a solar charging station usually provides a DC voltage within a range going […]

The overarching goal of this project is to research the feasibility of a low-cost, general purpose data pipeline that can learn and adapt to large, varied and dynamic data sets. Specifically, we will utilize a large sample of 3D gait and motion data captured from a cohort of research participants with dementia or mild cognitive […]