Display technology is ever improving; a current display technology being researched and created includes the use of LED arrays. One array could be used to produce a low quality image with minimal energy, while another more energy intensive array would be used for the sharper aspects of the image. Knowing exactly how these LEDs behave and their output on a screen would be most beneficial in furthering this type of display.
Vaccination is the most effective way to prevent influenza infections. However, the current production of influenza vaccines in embryonated chicken eggs has limited capacity during pandemics or high demand seasons, and is both labor-intensive and time-consuming. Consequently, there is a need to develop a robust production platform that can efficiently accelerate the production process and ultimately replace the egg production system. The aim of this research project is to use insect cell culture-based technology to rapidly produce virus-like particles (VLPs) as influenza vaccine candidates.
Various methods have been developed to extract compounds from fruits, vegetables, and seeds. Subcritical and supercritical extractions are the most promising techniques with high output qualities and high cost efficiencies. Running the systems at different pressures and temperatures, the essential bi-product can be extracted from the natural compounds matrix. In addition to their effectiveness, the subcritical and supercritical extraction systems are environmentally friendly processes.
This project solves the problem of generating content for a conversational intelligent tutoring system (ITS). The ITS gives questions to the student and then analyzes their answer using machine learning algorithms. Based on the student answer, the system will give them the hints and teach them how to solve the question. Moreover, the system will interact with teacher to generate content included questions, hints, and answers.
We are at the era of precision medicine and dentistry; however, currently there have been no attempts for personalized dental implant design and material selection that take into account variations in individuals anatomy, oral microbiome, saliva properties, and mechanical requirements. The overall objective of this MITACS project is to utilize a multidisciplinary approach to explore intra- and inter-variability of oral microbiome and saliva properties of individuals and their effects on a set of new implant crown material candidates, manufactured by the partner organization.
Bridge infrastructure constitutes a substantial portion of the national wealth of Canada, whose performance during earthquake events has a significant impact on the public safety. How to enhance the seismic performance of bridge structures is a huge big challenge in civil engineering. And how to promote the application of advanced technique in civil engineering is another big challenge.
The shipping container is one of the most important assets of international shipping and global trade. Built to withstand extreme conditions, the quality of these large metallic boxes is often overestimated resulting in the international container fleet being perpetually undermaintained. As trade volumes increase terminal inspectors lave less time to conduct container quality inspections. This project aims to create an automated shipping container inspection system using high definition cameras and machine learning software.
The first part of the project will be to determine the best material to store heat energy produced by the OM solar system. This project will look into the solar energy and heat capacities of various materials. CRE will befit by being able to choose the best material for heat storage in there home. The intern will benefit because they will get first hand experience in sustainable construction, heating and cooling of a sustainable home.
Innovative agricultural methods may be able to provide affordable food and vegetables in Canadas North. In support of this, Choice North Farms has partnered with PolarPonics to develop a PoultryPonics facility that will reduce production costs by integrating chicken and hydroponic production with an automated composting system. To effectively do this, they will require optimal methodologies for composting chicken manure which will need a high-precision, high-frequency sampling device to measure the nutrient content of the manure solutions that are produced.
The research program is aimed at developing novel test procedures and models for High Pressure Grinding Rolls (HPGRs) for comminution of metal ores classified by geology and physical properties. The HPGR is an energy efficient technology and there are presently no accepted small scale tests for sizing the technology for large scale operations. The study will improve the accuracy of test methods that were developed at UBC to replace conventional pilot scale tests that require large amount of sample that are expensive and often impractical to obtain.