This research is focused on building a web-based system for processing big earth data available in a form of Raw multispectral imagery captured by a UAV or a satellites system. The data gathered will be processed to obtain the end results in a vegetation indices (Vis), or NDVI form, which could be used for crop monitoring. The efforts are required in developing a web server, which will allow inexperienced users to classify raster imagery without any supervision.
Youths spend over $141 billion annually. Yet, these same youth often demonstrate extremely poor understanding of healthy financial habits such as emergency funds and budgeting. The proposed project seeks to tackle two main questions through the Dojo financial literacy learning application. First, what principles/techniques have been shown to positively impact financial literacy (e.g., interactive games, infographics, etc)? Second, is the Dojo platform an effective tool for teaching children about financial literacy?
Factoring large polynomials is one of the main tools provided by mathematical software packages like Maple. It is used by scientists, engineers and mathematicians directly to simplify and study large formulas. It is also used inside Maple to do other tasks such as solving systems of polynomial equations. This project proposes to dramatically improve the speed of polynomial factorization so that larger polynomials can be factored and factored quickly, for example, in minutes instead of
Head Injury Prevention (HIP) Lab at Simon Fraser University in collaboration with Shield-X Technology Inc. had previously developed an impact diverting mechanism in the form of a thin multi-layered-membrane. The technology has been successfully integrated onto the exterior of a football helmet (external version) to reduce linear and rotational acceleration experienced during impact to the head. The research will focus mainly on how to adopt the technology by adding it into the interior of a single-impact helmet such as bicycle helmet without changing the exterior appearance of the helmet. A
Control is a leader in mobile payment analytics and alerts for SaaS, subscription, and eCommerce businesses, enabling instant intelligence anywhere via its Android, iOS, and web-based products. We collect our customers’ payment data and provide them with their key business metrics that helps them monitor their performance.
Deep Learning is the new, and fast growing bread of systems based on artificial neural networks. These are phenomenal at learning patterns and generating new pattern that have the characteristics of the data the system was trained on. One of the main artistic and creative use of Deep Learning is to process images, pictures video. One typical task is that of style transfer by which the style of one image is used to shape the rendering of the one provided by the user.
Rhodnius prolixus is a hemathophagous insect that has served for decades as a model to study insect physiology. Rhodnius prolixus is also a major vector of Trypanosoma cruzi, the etiological agent of Chagas disease that kills 45,000 people annually and affects over 8 million people worldwide. The genome of R. prolixus contains ~15,500 predicted protein-coding genes. Many pathways such as the Toll and JAK-STAT pathways were present.
PRO Financial Solutions (PRO) is looking to investigate the benefits of actively including Value at Risk (VaR) in the capital management process of credit unions. Whereas Earnings at Risk (EaR) is a well-established risk measure, VaR still lacks understanding among credit unions. In this research project, the intern will illustrate the relationship between EaR and Duration of Equity, a VaR proxy, and therefor explain VaR in terms of EaR ? a number credit unions are more familiar with.
Canada is in the midst of an unprecedented overdose crisis, with 922 people dying of overdose in the province of British Columbia in 2016. Pivot Legal Society has a mandate to represent drug users and advance their hu-man rights. It is embarking on a project to bring together drug policy experts across Canada and around the globe to propose regulatory models for all currently illicit substances.
Avalanche Canada and Park Canada publish avalanche bulletins daily to provide backcountry users with information on avalanche hazard. Since 2010, Canadian bulletins follow the recently developed conceptual model of avalanche hazard (CMAH), which describes the key components of avalanche hazard and how to combine them into an overall assessment. However, the CMAH does not provide guidance on how hazard assessments relate to danger ratings on the North American Public Avalanche Danger Scale, a crucial tool for avalanche risk communication and a central component of avalanche bulletins.