The objective of this project is to develop and customize a cosimulation platform capable of integrating multi-formalism simulators for SG cybersecurity analysis. This enables one to provide a cosimulation platform which is characterized by scalability (no limitation in terms of nodes/buses of communication/power systems), compatibility with the Functional Mock-up Interface (FMI) standard and capability of synchronized integration of any two abstract simulators (NS-3, OMNeT++ for communication network and EMTP, MATLAB/Simulink for power system).
Modern software organizations use continuous integration (CI) practices to build and test their products after each code change in order to detect quality issues as soon as possible. Unfortunately, the number of builds scales super-linearly with the number of hardware and feature configurations that should be supported. In order to avoid running out of build resources, organizations are no longer able to build individual code changes, but instead need to build groups of successive code changes. Worse, certain ?flaky?
Caused by planktonic and biofilm drug-resistant bacteria on implants, periprosthetic joint infections (PJI) is one of the most devastating complication in orthopedics and is in line with forecasted rise in joint replacement. From the perspectives of patients, surgeons, hospitals, and health care system, PJI thus present a great unmet medical need, resulting in high morbidity, and even mortality, among affected patients. Therefore, clinicians would find invaluable a technology with a potential to manage PJI on implants.
The aim of this research project is to develop innovative tools that will help financial institutions deliver highly personalized services to their customers. We intend to use the most recent advances in statistical learning methods and machine learning algorithms mostly in deep learning, vector embeddings and autoencoders, to leverage the power of time series models by extracting high-level features from both assets and customers’ transactional data.
VETWATER (Sainte-Brigide-d'Iberville, QC) produces pet equilibrated water under the commercial name of "VETWATER urinary solution for cats" (VC), which helps preventing urinary crystals and stones (urolithiasis) by equilibrating pH strictly in the 6.2-6.4 range. Besides urolithiasis, feline lower urinary tract diseases (FLUTDs) affect the urinary bladder and urethra of cats without any obvious underlying cause- so called "feline idiopathic cystitis" (FIC).
On the one hand, new generation of civil transport aircraft can present aeroelastic coupling between flight mechanics and structural dynamics. The lower-frequency flexible dynamics can be perceptible by a fly-by-wire (FBW) controller.
More and more distributed energy resources (smart loads, self-generation, electric vehicles, etc.) are installed directly at the customers. This causes fluctuations in the distribution network that can reverse the power flow or increase the cold pick-up effect.
The interns will develop novel technologies using laser light to interrogate molecular vibrations in biological tissue setting up the stage for the next generation of intraoperative imaging techniques used to guide surgical interventions, including the resection of tumours in prostate and ovarian surgery as well as in neurosurgery. The partner organisation (Optech) is an organisation specialisation in the optical design and systems characterisation and this project will allow them to expand their base of knowledge and expertise in biological tissue.
Cancer cells are nearly impossible to distinguish from normal tissue without sophisticated detection methods and conventional methods fail to provide real-time information during the surgical procedure. ODS Medical is developing an exclusive Raman spectroscopy system that collects data through an optical probe and is interfaced with sophisticated machine learning algorithm to identify tissues abnormalities in real-time. This technology has proven to be effective for brain tumor and prostate cancer detection. As a result much larger datasets have been acquired both for brain and prostate.
