This research project will develop dc electric field sensors for the monitoring of electric power utility infrastructure and for non-contact voltage probing and monitoring. MEMS sensors are the focus, as they offer small size, low cost, and low power operation. These properties make them ideal for hand held operation, and for deployment in remote locations […]

Cancer cells can spread to the different parts of the body and form new tumors, in a process called metastasis. Individual cancer cells obtain the ability to metastasize by changing their genome and activating several genes required for cancer cell detachment from the tumor cluster, traveling to the new site, and growing in the new […]

Emphysema, a lung disease that millions of Canadians currently suffer from, has few safe and non-invasive options available. One of the features of emphysema is the lack of proper blood flow in the diseased lungs and this results in poor gas exchange. IKOMED Technologies Inc. has been developing a new technology that has the potential […]

Peripheral arterial disease (PAD) is caused by changes in the wall of the blood vessels of the legs that make them narrow and stiff. The main causes of PAD are atherosclerosis and smoking. Unlike many other diseases, there is no blood test that is capable of detecting PAD. Instead, persons have to be referred by […]

Networks have grown from small topologies connecting a dozen of devices to large, shared infrastructures supporting primary needs of our society. Today, we count on networked services for trading, commuting, monitoring weather conditions, meeting people. In order to provide reliable services, network operators need to cope with the daunting challenge of ensuring millions of flows […]

Canoe Kayak Sprint is a highly technical sport, where small changes in athlete stroke technique and/or boat movement can have large implications on race performance. Due to the complexity of these movements it has been difficult in the past to obtain equipment that is precise enough to measure kayak sprint technique accurately. With continual advancements […]

Bull Trout (Salvenlinus confluentus) is a large fish species in the Salmonidae family, that is undergoing dramatic declines. This study will focus on stream reaches with critical Bull Trout habitat features in the foothills in Alberta, Canada. The objectives of this study are to: 1) determine temporal trends in Bull Trout abundance, and 2) assess […]

Three in five persons with dementia will wander. This statistic however was derived from the USA, and it is unknown as to how this number was generated and what it specifically entails. The collection of Canadian-based data involving missing persons with dementia in Canada is limited. Secours.io’s initiative of collecting missing persons data generated from […]

Humic Land is a multi-purpose, 100% organic fertilizer that was produced from black peat using innovative technology that protects live soil microorganisms. It contains a microbial consortia that may produce plant-growth promoting substances, thereby acting as biological promotor of crops growing in stressful conditions. This research will evaluate three mechanisms that could explain Humic Land’s […]

Cyber security is fundamental to guarantee the reliable operation of the electric power systems. As the energy industry migrates to the digital space with information and communication technology (ICT), managing the electricity delivery is becoming complex and increasingly dependent on industrial control systems (ICS). The heavy reliance on ICT and the rapid penetration of ICS […]

The result of this project can be used by engineers to design a multivariable control system that will optimize the dosing of chemicals in seawater pretreatment. Besides, the plant operators and technicians will be able to perform ‘what if’ scenarios based on computer modeling results to ensure that the outlet water quality is not decreased. […]

The most successful computer vision approaches are based on deep learning architectures, which typically require a large amount of labeled data. This can be impractical or expensive to acquire. Therefore, few-shot learning techniques were proposed to learn new concepts with just one or few annotated examples. However, unsupervised methods such as generative adversarial networks (GANs) […]