Open source Layer Batching For Waste Reduction In Multi-Material 3D Printing

The most popular type of 3D printing globally uses plastic filament. Historically, this has been done with only one plastic at a time. 3D printers can now use multiple materials and/or colors to be part of a single print. Unfortunately, today multi-material 3D printing results in a lost of waste plastic and the associated environmental problems. Each time a material change happens, waste is produced through nozzle priming and/or purging to get rid of the last material. 3D printing software typically changes the material on each layer meaning that every layer, a lot of plastic is wasted.

Automatic alignment of subtitle and audio track for TV broadcasting

Subtitles are typically generated postproduction and might be mis-aligned with the audio track. Alignment of subtitles to audio is a task which aims to produce accurate timings of the words within a subtitle track given a corresponding audio track. The alignment task is of significant relevance to Bell media. Semi–automated solutions exist, and they involve different degrees of human involvement in post-edit. Automatic subtitle alignment will reduce production time and human labor costs. This research project will look at automating the subtitle alignment.

New Test Methods for Validation of Electric Traction Motor Control and Monitoring Techniques

Electric machine condition monitoring and control techniques are being widely investigated for electric vehicle applications, which are essential to ensure high performance, efficiency, and reliability in electric traction drive system. However, the testing and validation of these techniques are challenging and have not received enough attention. Thus, the research project aims to propose new testing methodologies for validation of electric machine condition monitoring and control techniques to fill this knowledge gap in electric machine field.

Maximizing the Efficacy of Buying Sustainably via the Stocate Platform

We spend money everyday. How can we make sure that those purchases are responsible? The financial power of consumer purchases could fund our transition to a sustainable society. However, a lack of transparency regarding the inputs, processes, and impacts of our purchasing decisions makes it difficult to choose sustainable options. This project will develop an evaluation system which combines accuracy and simplicity to help people buy sustainably via a user-friendly app and website.

Quantum networks – distributing entanglement between remote integrated photonic circuits

Quantum networks will enhance the security of communication and link quantum computers together to solvecertain problems that are not possible with present day computers. To realize practical applications with a quantumadvantage, thousands of photons must be controlled, and entanglement utilized to distribute quantum bits acrossthe network. In this project, we will develop the fundamental components to generate and distribute entanglementbetween two remote photonic chips.

5G Enabled Energy Management for Smart Buildings

The data and AI revolution that is sweeping many industries is also poised to revolutionize automation, control and safety in commercial and residential buildings. In order to activate the full power and promise of AI, we need large volumes of data that are accessible at high-speed over physically separated buildings/equipment. The fifth generation (5G) wireless communication networks provide large bandwidth for high throughput data, unparalleled reliability with low latency and high level of security and guaranteed bandwidth.

Development of an optical spectroscopy-based device for non invasive detection of multiple blood parameters in new born human subjects

Remember the last time you went to a hospital and saw a baby crying in pain when a needle is punctured in the skin for a blood test? If you felt bad, your are not alone. We felt it too. However, blood tests are important right?

Diagnostic and Monitoring Tool for Amputee Patients Wearing a Prosthesis

In this project, we propose a universal internet of things (IoT) device that connects between the residual limb of an amputee patient and the prosthesis to measure the patient’s comfort levels. This device's novelty lies in its ability to physically connect to most of the currently available prosthetic devices to provide the user with insightful and relevant data such as the pressure points, the wear time per day, or feedback on movement efficiency.

A Metrics-Based Approach to Support Sustainable Product Development and Consumption

Sustainable product development adheres to the needs of the present while developing a product without compromising the ability of future generations to meet their needs. This proposal aims to develop a suite of sustainability metrics that can be computed by analyzing data like company website, product material information, etc. The metrics will be integrated into the existing Arbor sustainability product suite via dedicated mobile app and browser extension.

Improving Donor Relations through Machine Learning

This project involves looking at machine learning as a new way to engage with donors for charities that can result in a more effective channel of communication.