Application of machine learning techniques to control surface quality of as-printed wire arc additive manufactured components

Nowadays, the wire arc additive manufacturing is making its path toward providing benefits to aerospace, defense, and oil and gas sectors, ascribed to the process capacity to fabricate components with minimum waste of material and lead time. However, the main challenges associated with the WAAM that have hindered the wide-spread application of the technology include the irregular and random quality of the WAAM fabricated surfaces.

Effect of agro?climatic conditions on the cannabinoid quantities in hemp crops

We want to determine the relationship between weather such as rainfall and temperature on outdoor grown hemp. Specifically what these variables do in terms of changing the content of THC and CBD in certain varieties of hemp. Our goal is to give farmers the knowledge so that they can determine when is optimal time to harvest their crop based on that years weather if they want to be below a .3 thc content, and have a high CBD content. However, the research we do will lend itself to farmers seeking other CBD and THC outcomes in their crops.

A novel intraocular injectable platform for long-term treatment of retinal diseases.

Retinal diseases are the leading causes of blindness in Canada. Retinal diseases are currently treated by monthly or bimonthly intraocular injections of biologics. At the Sheardown lab, we are developing a new injectable hydrogel that can provide prolonged treatment for retinal diseases. Upon injection, the new treatment forms a transparent solid depot inside the eye that doesn’t interfere with the patient’s vision. The depot provides sustained release of the biologics over several months and is completely resorbable after delivery of its payload.

COVID-19 and long term care workers: Staffing shortages and diverse pathways to entry

The goal of this project is to enhance health workforce planning in the Waterloo Region in collaboration with the Workforce Planning Board of Waterloo Wellington Dufferin (WPB), to address the Long Term Care staffing crisis by providing quantitative analysis of the demographic make up of the labour market involved in health relation professions, which will identify the demographic specifics of this population in terms of immigration status, length of residence in Canada etc.

Integrated Thermal Control Methods for Use in Scalable Battery Systems

Lithium-ion batteries are increasingly being used to reduce fossil fuel use and emissions. Cold weather performance of Lithium-ion batteries is a limiting factor in outdoor applications. Mavio Technologies Inc. aspires to construct durable Canadian made Lithium-ion batteries packs that perform well in the adverse Canadian climate. This project plans to research the effect of using insulation to increase cold weather performance.

Tracking the parasympathetic nervous system, emotions, and wellbeing in chronic pain conditions - Part 2

Wearable body sensors are groundbreaking in that they allow for continuous and unobtrusive physiological measurements. The promise is that someday soon, smartphones will monitor our bodily state and thus prevent all kinds of wellbeing implications: acute physiological issues like stroke or heart attack; less acute but still serious illness, such as chronic illnesses caused by destructive behavioural patterns; and everyday psychological experiences such as stress and bad mood. But this is not yet a plug and play matter; simply attaching a heart rate sensor does not fulfill this dream.

Development and Implementation of an Embedded Algorithm for Essential Ocean Variable Monitoring

In 2018 the Global Ocean Observing System (GOOS) approved Ocean Sound as an Essential Ocean Variable (EOV) within the Biology and Ecosystems Panel. This designation recognized that long-term monitoring of sound in the ocean will yield information on ecosystem health, climate change, and the effects of human activity on the environment. The bulk of the current ocean acoustic data collection is performed by archival recorders, supplemented by a small number of real-time gliders, buoys and cabled observatories.

Sensor Rank and Selection to Determine the Best Sensor to Increase the Efficiency of a Garbage Disposal Service.

In this modern world one of the biggest problems we face is waste control. As the population grows, so too does the waste being produced by humans. Our company is proposing to add a sensor to commercial garbage bins to detect when bins are full and thus trigger waste collection. This project will aim to identify the best sensor to use in a commercial garbage bin and will propose adding network technology to create a “smart” system. Sensor framework design and selection will be researched by this undergraduate team.

User Adaptive Systems for Behaviour Change in Health And Wellness

There has been a dramatic increase in digital well-being products in recent years and there is a market saturated with ineffective user experiences and little to no sustainable, desired behavioural change. By assessing and enhancing the effectiveness of a personalized approach to digital well-being app interaction through machine learning and emotion-driven adaptive computing, we can develop a new, intelligent and highly effective digital well-being platform that can support lifestyle wellness behaviour change.

Wastewater Surveillance of SARS-CoV-2 in Nova Scotia

Although COVID-19 is considered a respiratory illness, the genetic material of SARS-CoV-2, the virus that causes COVID-19, has been found in the feces of people infected with the virus. It is known that the virus survives longer in the gastrointestinal tract than in the respiratory tract. As such, wastewater has been used to determine the presence of the virus either before someone develops symptoms; receives a positive test result; or is an asymptomatic carrier of the virus.

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