Development of a Borehole Muon Detector for Muon Tomography

CRM Geotomography Technologies (CRM) has developed detectors that are able to measure cosmic ray muon particles underground. By measuring the rate at which these particles pass through the detectors, it is possible to reconstruct a three-dimensional map of the density of the earth’s subsurface above the detectors. This technique is called muon tomography. CRM’s detectors have been successfully used to search for ore bodies in and nearby existing mines.

2017 Neighbourhood Small Grants Program Evaluation

The 2017 Neighbourhood Small Grants Program Evaluation will deepen understanding of grassroots grant making through an analysis of program outcomes and participant feedback from the Vancouver Foundation’s 2017 Neighbourhood Small Grants (NSG) program. Using data collected by the Vancouver Foundation, the project intern will produce a report that highlights the outcomes, opportunities, challenges, and lessons learned from the program activities of the 2017 granting year of the NSG.

Better predictions of employee events

Machine learning can be used to predict employee events around retention, promotion or movement. This project explores how to generate better predictions by exploring correlations and exploiting them through features that increase predictive strength. Furthermore, the project explores how to reliably fine-tune the predictive model to a particular data set in the presence of interdependence of data points. The results will enable improved Machine learning predictions related to employee events.

Optimal Design and Control of an Automated Bike Parking System

Automated parking systems is a relatively new industry in North America. Although there are techniques available for automotive applications, there is not much attention given to storing bicycles. The goal of this Mitacs project is to develop a reliable and efficient system for bicycle storage. The outcome of this project will help the supporting company, Mazdis Innovation Inc., will be an improvement in their technology to attain higher market share. Our main objectives in this projects are developing: (i) a reliable robotic system, and (2) an efficient automation and control system.

Quantifying the Computation Power and Transaction Latency of Pool Mining in Cryptocurrency Networks

In this project, using such mainstream cryptocurrencies as BitCoin and Ethereum as representatives, the intern will analyze the transaction collection strategies of their mining pools, and then collect transactions and the corresponding blocks data to build a large dataset, from which the computing power of different mining pools and their proportions will be analyzed, together with the transaction latencies of pool mining. We will also identify potential enhancement through the analysis and measurement, particularly on energy and delay optimization.

Designing an Effective Education Program and Regulations to Reduce Conflicts with Bears in Suburban Areas

Conflicts between humans and black bears in urban settings challenge the wellbeing of both human communities and black bear populations. As human urban communities develop and expand into areas with bears present, conflicts between humans and bears may also increase. It is important to utilize available tools such as education and regulatory bylaws to reduce the number of black bear conflicts and resultant number of black bears killed in response.

Characterizing use of the Vancouver public bike share system through 2018

Public bikeshares intend to provide an active, accessible, environmentally friendly and compact transportation alternative—particularly useful for travelling short distances and the “last mile” of a trips to and within a busy, dense urban core. In 2016 Vancouver launched a public bikeshare. Vancouver’s climate, culture, and bike route system provides a strong foundation for success, but there are concerns given the all-ages helmet legislation, long debated as a barrier to uptake of cycling and a threat to public bike share success worldwide.

Social Procurement Value Proposition

This project aims to develop a tool for cities and municipalities to use to negotiate and evaluate how large real estate development projects coming into communities, especially vulnerable neighbourhoods, can provide benefits back to that community. The specific focus of these benefits is on providing work and training opportunities for local residents, as well as purchasing from local small businesses (called social enterprises) already focused on employing local residents who face a variety of challenges to getting and keeping a traditional 9 to 5 job.

Statistical Analysis of Women’s Representation in the Animation and Visual Effects Industry in Vancouver

The creative industry is one of the vital pillars of the Canadian economy. Furthering the careers of women in business, technical and creative roles in Vancouver can help promote the economic growth of BC creative industry and advancing women into higher roles. Our project is to track the real-time data of the female staff in animation and film studios in Vancouver and analyze the data. The methods for data collection include the traditional ways like making survey and doing interview, and the web-based way to make a database linked by a data collection website.

Machine learning prediction on embedded systems

Machine learning (ML) applications have shown remarkable performance in vanous intelligent tasks but high computational intensity and large memory requirements have hindered its widespread ubhzation in embedded and Internet of things devices due to resource constraints.
Many optimization techniques have been proposed previously for domain specific architectures. These optimizations will affect an embedded device differently. and each of them have their own trade-offs and Impact speed, accuracy and energy efficiency differently.