The objective of the research project that is the subject of this proposal is to simulate autonomous flight for the purpose of risk-based safety assessment using machine learning applications. Simulation methodologies are developed and implemented for the purpose of extracting data from real-time, publicly-accessible sources to create a virtual environment that represents actual airspaces including […]

Manufacturing of aerospace composite structures requires drilling of thousands of holes for rivet and bolt attachments. Traditionally, required holes have been drilled and inspected manually, which is extremely time-consuming, inconsistent due to human error, and potentially hazardous to workers. The proposed research will develop a high performance robotic drilling and inspection technology for aerospace composite […]

Due to the potential for significant cost-savings, many companies are turning their attention to digital simulations which produce an enormous amount of data. For companies to realize the benefits of having access to this data they need tools that allow efficient and accurate extraction of information from the data set. The goal of this project […]

In-water measurement and sample collection solutions for environmental marine monitoring will be studied. Fine-scale responsive measurements cannot be achieved cost-effectively with satellites or aircraft. For near-surface monitoring, an unmanned aerial system (UAS) could achieve the necessary spatial-temporal sampling. The proposed solutions deploy a payload sensor and/or sample grabber from an UAS with a winchable tether. […]

In order to accelerate the transition of our electricity system to renewable sources, it is important that buildings participate effectively as distributed generators. However, traditional integration methods for solar energy often add complexity to our electricity system. With the rapidly declining costs of battery systems, building-level microgrids are becoming a viable alternative allowing buildings to […]

The inspection process has been an inseparable part of manufacturing to measure dimensions such as diameter, flatness, roundness and straightness of the parts. Besides, on some machined surfaces, it is required to measure roughness and identify surface defects. For defect detection, companies are still relying on visual inspection, which is very slow and labor-intensive. To […]

Lithium-sulfur (Li-S) batteries have been considered as one of the most promising candidates to meet the energy storage demand for electric vehicles due to their high theoretical energy density of 2600 Wh kg-1, low cost, natural abundance, environmental friendliness. State-of-the-art Li-S batteries, using liquid electrolytes, still have significant challenges in their safety and lifespan. Accordingly, […]

Many aspects of healthcare are time consuming and error prone. Recently there has been great progress in using artificial intelligence to solve a number of problems. One of the best examples of this is image labelling using a type of neural network approach called deep learning. Recent research has shown that deep learning approaches can […]

Durham Region is committed to responding to the climate emergency by embedding climate change considerations across all elements of Regional business. This research will involve an examination of the Region’s entire waste management system and develop a full life cycle analysis model for GHG emissions which can be used to identify opportunities and support strategies […]

The main problem being addressed is the current lack of control and quality in the deposition of mixed mortar in the application of large-scale 3D printing. This is a significant issue because the properties of the mixes used depend heavily on the material ratios and mixing/pumping time. This means that slight variations can lead to […]

NIRS is a popular secondary analytical method that is being used for non-destructive quantification of compounds and mixtures in the agriculture and agri-food sector. The study aims to estimate the starch content (amylose and amylopectin) in rice samples with NIRS. A dataset is being established by obtaining NIRS spectra (400 to 2500 nm, 0.5 nm […]

Skin-penetrating bone-anchored implants are used in a variety of applications to provide tremendous functional benefits to patients. Globally, the dental implant industry has been valued at 5.08 billion USD where implants are used for replacing single teeth, for larger prostheses, and for full dental arches. The success of these implants relies on a structural integration […]