The clinical and cost effectiveness of immunizing children WIth PCV7 and PCV13 is well established in the scientific literature. However the success of pneumococcal conjugate vaccines in children has given rise to questions from payers regarding whether continued investment in PCV13 for children is needed. The proposed research project undertaken by the intern will help the partner organization to quantitatively determine: 1) What is the optimal percentage of the children population that needs to be vaccinated to incure herd immunity in the rest of the population?
In preparation for increasing its deployment of last-mile fibre, TELUS has engaged the University of Alberta to study the most efficient and cost-effective installation methods for Fibre-to-the-Home (FTTH) deployment where there are no existing telecommunications rights of way. The methods we will explore are divided into two categories: 1.) Direct Buried Methods (micro-trenching, Horizontal Directional Drilling, piercing and plowing. 2.) Utility Sharing (installing optical fibre via existing utility lines).
This project aims to create a set of innovative business intelligence tools to enhance advanced data analytics capabilities of the Perspective system developed by PPM 2000. The Perspective system is an incident management system that facilitates corporate incident data collection, reporting, analysis and management. Incident data is a post-event record of accidents, thefts, hazards, or other unusual events related to an organization’s infrastructure.
The widespread availability of broadband internet has transformed Canadian life. However, the increasing volume of data traffic strains the “last mile” access networks that deliver broadband internet to individual premises. The cable industry has responded with updates to the dominant standard for cable modems (CMs) and cable modem termination systems (CMTSs), known as DOCSIS. The latest revision, DOCSIS 3.1, was released on October 29, 2013, and promises great improvements for the delivery of broadband internet through cable.
Alberta-based BMI Technologies manufactures onboard sensor systems which track the usage of forklifts. But the company wanted to improve the technology to allow for automatic data analysis across a large fleet of vehicles, with uplink to a central computer system.
BMI was without an in-house research or engineering department, but learned of the Mitacs Accelerate program from CEO Arvind Gupta during a chance meeting at a social event in Vancouver.
TerraVerdae Bioworks is working with a type of bacteria that is able to metabolize methanol, converting it into a bioplastic. TerraVerdae is focusing its commercial operations on bioplastic production but is interested in identifying other bioproducts that can also be produced. It is known that this type of bacteria forms a symbiotic relationship with plants, where it feeds off of waste methanol produced by plant cells, converting it into metabolites that help the plant grow.
A visual atlas of welding defects (defects introduced in the material do to welding) will also be created to aid the weld quality inspectors, instructors, welders, or anyone taking a welding course identify the source(s) of defects, how to prevent defects from occurring, and how to repair weld defects. The ASTM (American Society for Testing and Materials) passport to steel database and the ASME (American Society of Mechanical Engineers) code interpretation database will be updated to make all the new updated standards and interpretations available to users.
Reliable high-speed wireless data transmission is the primary goal of future cellular systems. A key impediment to achieving this goal is interference on receivers from transmitters in adjacent cells. This problem becomes even more challenging when the types of transmitters and cell sizes vary within a heterogeneous network (HetNet). The performance of users near a cell edge suffers the most. There are several ways to mitigate interference and improve performance.
In a number of data analytics domains, there is a need for detecting the situations when something outside of the normal conditions is happening. The goal of this project is to develop novel algorithms that learn to distinguish these normal and anomalous patterns through minimal interaction with a human user, while allowing complex data patterns such as time-series data. We further take into account a specific asymmetry of labeling costs that is inherent in the problem.
They can be maneuvered around refinery stacks or high voltage power lines for inspections without risk to pilots, and survey crops or mining operations using a fraction of the fuel needed for a normal airplane or helicopter.
But for a UAV to be effective, it must be able to capture high quality photos and video while being controlled remotely.