The project investigates the development of artificial intelligence models and algorithms to analyze telecommunication networks, looking for signs that indicate the presence, or imminent arrival, of faults and outages on the network. The project will use as its main input data (network topology and network health metrics) collected by EXFO in real-time and accumulated over […]

Shelf-life and quality of agricultural commodities is directly affected by their storage conditions. Therefore, producers and managers of grains and oilseeds relay on safe storage guidelines of the stored commodity to preserve the quality of these products. These guidelines are developed for specific commodities and are made available by producer groups and technical organizations to […]

Artificial Intelligence techniques have been widely applied to solve real-world challenges, from autonomous driving cars, to detecting diseases. With the popularity of 5G wireless network, more and more AI systems are being developed to provide convenient services to everyone. It is important to ensure the reliability and quality of AI systems from every phase in […]

The proposed project seeks to better understand and study the effective application of data processing tools and quality assurance systems in clinical research. Data from clinical trials is crucial in the pharmaceutical industry because it provides indicators of safety and efficacy of drug treatments for patients. However, processing and reporting on the large amounts of […]

Down hole tools in the oil and gas (O&G) industry has long been used to increase the oil recovery and limit unwanted products like water, sand and steam. RGL is a world leader on both Sand control and Flow control products, with a focus on technology driven solutions. Various sand screens, slotted liner designs, flow […]

The main objectives of this one-year study are to enhance systems in data management and integration in three ways: 1) create secure networks that can support BYOD; 2) create a data pipeline system for ETL; and 3) integrate ML content generation into a content management system. An Agile methodology will be used to plan and […]

There is a growing need for law enforcement agencies and safety sensitive workplace environments to be able to evaluate impairment. Impairment due to mental cognitive deficits, drugs or alcohol use, prescription medications, or fatigue could all limit a person’s ability to perform a hazardous task safely. Current testing tools utilize saliva, breath, blood or urine […]

Brine water produced in the mineral extraction process can cause heavy damage to soil and biota when the brine water is spilled during storage and transportation. The damage from spilled brine water can spread rapidly and last for decades, affecting groundwater, ecological security, and human health. In addition, the value of the damaged land will […]

The project goal is to determine the clinical utility of Orpyx LogR technology to detect gait changes and their efficacy to predict and monitor fall risk. Project I will use existing data to determine sensitivity and specificity for prospective classification of fallers and non-fallers for a composite measure drawn from an extensive battery including single […]

Tidal energy takes advantage of water movement due to tides. To extract this energy from places like the Bay of Fundy (NS), turbines similar to a wind turbine but smaller are installed directly under water, not needing a dam. To design the turbines, engineers need to know how the water moves. On the other hand, […]

We wish to explore methods to make indoor plant growth more efficient. In many industries (especially the herb and vegetable greenhouse business), industry uses inefficient lighting options because they seek to supplement the visible light spectrum with UV wavelengths. We propose to use LED lamps that include UV bulbs to test whether this lamp will […]

This research project investigates methods for detecting damage and breakage in fibers used in fiber-reinforced polymer composite pressure piping. Of primary interest is Acoustic Emission (AE) technology to isolate and identify damage types and corresponding AE features for fiber reinforcement rupturing when exposed service loads and different environmental conditions. Sound signals produced by fiber rupture […]